Next Article in Journal
A Preliminary Evaluation of the Unified Protocol among Trauma-Exposed Adults with and without PTSD
Next Article in Special Issue
Perceived Stress Levels among Ukrainian Migrant and LGBT+ Minorities in Poland during the COVID-19 Pandemic
Previous Article in Journal
The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
Previous Article in Special Issue
Australian Mental Health Consumers’ Experiences of Service Engagement and Disengagement: A Descriptive Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Group-Treatment for Dealing with the Work-Family Conflict for Healthcare Professionals

1
Department of Psychosomatic Medicine and Psychotherapy, Ulm University Medical Center, 89081 Ulm, Germany
2
Department of Child and Adolescent Psychiatry/Psychotherapy, Ulm University Medical Center, 89075 Ulm, Germany
3
Department of Psychosomatic Medicine and Psychotherapy, Medical Psychology, Ulm University Medical Centre, 89075 Ulm, Germany
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(21), 11728; https://doi.org/10.3390/ijerph182111728
Submission received: 8 October 2021 / Revised: 31 October 2021 / Accepted: 3 November 2021 / Published: 8 November 2021
(This article belongs to the Special Issue Mental Health Care and Promotion)

Abstract

:
Healthcare professionals’ exposure to work-family conflict negatively affects the health and well-being of the whole family and organizational outcomes. Specified workplace interventions are lacking. Therefore, the aim of the study was to evaluate the feasibility of a two-day group-treatment specifically designed for the needs of healthcare professionals with family responsibilities concerning participation, satisfaction with the intervention and family- and individual-related outcome variables. 24 mostly female (85.7%) participants of a community hospital in southern Germany attended the treatment. Data were collected at baseline (T0), directly after the treatment (T1) and two months later (T2). A two-factor analysis of variance with repeated measures showed a statistically significant time x group effect for self-efficacy (F = 5.29, p = 0.011). Contrasts displayed substantial pre-post (T1-T0, T2-T0) increases of self-efficacy in the intervention group as compared with the control group. Non-parametric Mann-Whitney-U tests are in line with these findings. The results indicate that the group-treatment adapted to the needs of healthcare professionals has the potential to boost self-efficacy among healthcare professionals and that participants were predominantly satisfied. Perspectives for future research and practical implications are discussed in the light of the manifest lack of healthcare professionals.

1. Introduction

“Balance” of work and family lives is a much sought-after but a hardly claimed state of being. Conflict between work and family life (work-family conflict) has been commonly defined as a form of inter-role conflict in which the demands of the role from both domains are mutually incompatible in some respect [1].
In the healthcare sector, an alarming situation is emphasized in this domain, as healthcare professionals are confronted with specific work-related demands like shift work, long working hours, unpredictable changes of the work schedule, high quantitative workload, working under pressure, and high emotional commitment [2,3,4,5,6,7,8,9,10,11]. Furthermore, the lack of healthcare professionals due to demographic change and the foreseeable shortage of skilled workers in Germany and other countries might increase work-related demands [12,13,14,15,16,17,18,19,20,21,22].
Work-family conflict (WFC) is considered as a predictor of health determinants, well-being, and organizational outcomes [3,4,23,24,25,26,27,28,29,30,31,32,33,34,35,36]. Findings in Germany show that WFC is correlated with personal burnout and behavioral and cognitive stress symptoms [4,34] and poor health [28,37]. For example, double-duty caregivers providing informal care to a family member in need are at high risk of developing symptoms of overload [38,39]. Furthermore, WFC was found to be negatively associated with parental self-efficacy and the perceived quality of parent-child interaction [40]. Parents’ WFC constitutes a potential determinant of children’s health [41,42,43,44] and subsequently a target for prevention and health promotion [45,46]. With 50 percent of nurses reporting chronic work interference with family [47], WFC is considered as one of the main reasons to quit the nursing profession [9,48]. WFC is also highly prevalent among German hospital physicians [4,7,49], and it is strongly related to the intention to leave the job or to go abroad [4]. WFC was found to be particularly relevant for female physicians’ intention to leave direct patient care [15]. The WFC situation becomes even more critical as female physicians form an increasingly large part of the physician workforce [50]. As a consequence, WFC plays a critical role for the choice of the place of employment among German physicians [51].
Therefore, measures and interventions in the workplace are urgently needed in order to reduce demands and to increase resources [52]. Flexible working hours, in-service training during parental leave and substitution on short call, among other options, have been discussed in Germany [53]. But organizational and political initiatives have not proven able to deal with these issues sufficiently so far [54,55]. One further starting point for treatment could focus on encouraging the individual psychologically in the daily struggle between work and family life. Individual resources such as self-efficacy might prevent WFC [7,56,57]. Self-efficacy is defined as the modifiable, personal agency and belief of being able to control challenging environmental demands by means of taking adaptive action [58,59]. Personal resources like self-efficacy were supposed to mediate the relationship between demands and detrimental outcomes [7,60,61]. They are related to performance and job satisfaction [62]. The individuals’ work-family specific self-efficacy predicted their perceptions of future work-family conflicts [63]. As reported by Smoktunowicz and colleagues [64], demands associated with increased work-family conflict decreased self-efficacy and resulted in heightened stress at work and in family. Recent research suggests that cognitive-behavioral therapy-based stress management programs are successful at enhancing participants’ perceived self-efficacy [65]. Further evidence was found for a parenting intervention aimed at improving occupational self-efficacy [66].
For the healthcare sector, research investigating how to improve coping with WFC is generally rare [67]. Evidence indicates that cognitive-behavioral therapy interventions and mental and physical relaxation are effective at reducing occupational stress in healthcare workers [68,69,70]. However, treatments focusing on stressors specific to WFC by taking the healthcare worker’s as well as the child’s needs into account are lacking, for example how to arrange divergent demands. Therefore, we developed a sustained group-treatment based on the Intervention Mapping Approach (IMA) by Bartholomew [71] within the research association “Mental Health at the Hospital Workplace” (SEEGEN).
This is the first experimental trial to evaluate a group-treatment focusing specifically on the interplay between work and family lives for healthcare professionals. The aim of the study was to investigate the feasibility in participation, satisfaction with the group-treatment, and effects on the outcome measures of self-efficacy, work-life balance and the participants’ children’s health and well-being.

2. Materials and Methods

2.1. Design

The two-arm quasi-experimental study design compared the two-day group-treatment for coping with the work-family conflict in an intervention group (IG) with a waiting control group (CG) that received treatment as usual (TAU). Participants in the CG didn’t receive the group-treatment before completion of data collection. Due to eligible participants’ professional obligations and related hindered recruitment, the initially planned RCT was converted into a quasi-experimental trial [72,73]. The quasi-experimental design allows for allocation either to the IG or the CG according to participants’ chosen preferable date of treatment.

2.2. Sample

Potentially eligible participants were all 1270 adult employees of a community hospital in southern Germany regardless of gender in the functional, nursing, medical or other service. Participants were included if they had family responsibilities, including expecting a baby or being a parent. Exclusion criteria were a lack of sufficient German language skills.

2.3. Procedures

Through posters and announcements of supervisors, hospital employees were invited to information events (offered once in November 2017, twice in December 2017, and once in April 2018). Whereas participants and data collectors were kept blinded to the allocation according to the participants chosen preferable date of treatment, the trainer was aware of participants’ allocated study arm. Outcome parameters were assessed with questionnaires at baseline (T0; two to four weeks before the start of the treatment), immediately after the treatment (T1), and two months later (T2). At T0 and T2, the paper-pencil questionnaires were posted to participants’ indicated addresses, and they sent it back in a specific envelope to the researchers. At T1, participants received the questionnaires in person. Participants were encouraged to answer the questions spontaneously, as much as possible, without being disturbed. Data were gathered between 1 May and 30 September 2018. The CG was offered the intervention four months later than the IG after having completed the questionnaires at T2. In each study arm, two workshops were provided with a maximum of 12 participants in each.

2.4. Intervention

A specifically tailored group-oriented seminar (nine teaching units lasting 60 min each, over two consecutive days) was conducted by an experienced occupational health professional trainer. The program is proposed for parents with children from 0 to 18 years. All trainings took place in seminar rooms located at the hospital. Rooms were equipped with a computer, a projector, and yoga mats, and provided sufficient space for the group. Participants were seated in a semicircle facing the projector and each other. During group work, groups of two to three participants were formed. Practical stress management in the form of an Ashtanga yoga class was facilitated by an experienced yoga teacher. Participants used the provided yoga mats for this purpose. The group-intervention took place during participants’ regular working time, from 9:00 a.m. to 4.30 p.m. the first day and from 9:00 a.m. to 1:00 p.m. the following day. All participants were asked to verbally give a confidentiality agreement.
The training was specifically designed to foster awareness of the individual work-family conflict, to identify individual resources and obstacles, to strengthen individual resources and to deal with obstacles, to transfer knowledge concerning the work-family conflict and to empower individuals to practice appropriate self-management techniques. The approach combines the underlying principles of behavioral therapy techniques [74] (e.g., psychoeducation, behavior building, modification, and attitude change), emotion-centered principles (e.g., focus on feelings concerning the work-family conflict), and group dynamic factors [75] (e.g., vicarious learning) which provide impulses for reflection of attitudes and self-efficacy expectations. In addition, the workshop was intended to help sharing experiences, acknowledging the difficulties of others, and fostering group cohesion.
Based on a qualitative needs assessment, and a detailed literature research [76,77,78,79] according to Bartholomew and colleagues [80], modules focusing on family, job and stress with lectures, analysis of resources and inhibiting factors and the development of next steps were created. A manual with worksheets was developed in an interdisciplinary team to standardize the pretested program. The manual is in preparation for publication.
After address of welcome and a short introduction, participants’ personal expectancies and aims were explored. Afterwards, contents and aims of the group-treatment were presented. Participants were expected to analyse their individual work-family conflict in individual and group work and share their own experiences in the safe group space. With the help of worksheets, participants were encouraged to reflect upon their resources, for instance, how to activate individual valued resources and how these could offset given demands and inhibiting factors concerning family as well as job life. After initial individual and group work, the group searched for the best possible solutions with the help of the experienced trainer. To foster self-management, the development of a next step of action was encouraged. Further elements were lectures regarding the connection between stress experience, stress response and the influence of personal stress on the relationship with the child as well as time management and organization. The analysis of individual stress symptoms and strategies to better deal with stress due to work-family conflict was guided by worksheets. Group exchange was encouraged by the experienced trainer. In addition, lectures on developmental psychological findings and attachment theory for practical everyday life as a parent were developed. These included the developmental needs of children and parenting-related issues (transition to institutional/extra-familial care, “what is normal”, “when are children stressed out”), partnership and changes in the transition to parenthood. Lectures via PowerPoint presentations were aimed at keeping parents informed, validating their individual situation and, at the same time fostering participants’ awareness of their own (dysfunctional) patterns in stressful situations and respective consequences regarding the health of the child. The practicing of self-guided interventions was encouraged instead, such as abdominal breathing, self-distancing from dysfunctional thoughts and unpleasant feelings, and regular self-care, especially with regard to creating social bonds. The trainer inspired participants to practice individually appropriate self-care by presenting several tools. For example, the participants were instructed on practical stress management in the form of Ashtanga yoga. Additionally, a 10- and a 30-min yoga sequence were developed and provided as online movie clips in cooperation with a yoga institute. Specific attention was paid to a simple exercise sequence that could be learned quickly and could be easily integrated into work and family lives. In contrast to a pure coping workshop, this workshop also highlights dilemmas [81] in the context of role play to better deal with a difficult work-family conflict situation in a further step. At the end of the workshop, participants fixed/repeated the developed next steps of action under activation of personal resources. Furthermore, all participants were required to reflect upon which aspects of the workshop were most beneficial for them.
After the group-treatment, participants were expected to transfer their developed next steps of action and to practice regularly the 10- and the 30-min yoga sessions. Additionally, they were instructed to strengthen their theoretical understanding and keep personal analysis in mind by reading the manual and reflecting upon worksheets used during the group-treatment.

2.5. Measures

Socio-demographic data and answers to job- and family-specific questions were recorded at baseline.
Feasibility indicators were number of participants eligible, those willing to participate in the study, the number of participants lost to follow-up and satisfaction with the specific-tailored group-treatment.
Satisfaction with the group-intervention was assessed directly after the intervention with two self-constructed four item questionnaires and the opportunity to give written feedback in an open text format. One questionnaire asked (on a five-point Likert scale ranging from “not at all” to “a lot”) about general satisfaction (e.g., “Participation in the workshop was helpful with my everyday life”). The other instrument asked on a five-point Likert scale ranging from “bad” to “very good” about satisfaction with the modules (therapeutic input, practical exercises, yoga, and group exchange).
Occupational and family self-efficacy was assessed with the Adapted General Self-Efficacy Scale (AGSE) [82]; Table A1). The items were expanded by supplementary phrases for work-family compatibility (e.g., “For every problem concerning my job or my family, I can find a solution.”). The instrument consists of 10 items rated on a four-point Likert scale ranging from 1 (not at all true) to 4 (completely true) with higher sum scores reflecting higher occupational and family self-efficacy (range 10 to 40). Several investigations proved AGSE to be a reliable and valid instrument [83].
Work-life balance was assessed with the Trierer Scale to measure Work-Life Balance (TS-WLB; in German: Trierer Kurzskala zur Messung von Work-Life Balance (TKS-WLB) [84]). The construct refers to affective and cognitive perceptions of how well work and non-work roles fit together and are managed in accordance with life values, goals, and aspirations [85]. The instrument consists of five items (e.g., “I am satisfied with the balance I achieved between my work and family life”) rated on a five-point Likert scale ranging from 1 (strongly disagree) to 6 (strongly agree) with higher mean scores reflecting higher work-life balance. The TS-WLB captures individuals’ experiences in a set of equal-weighted personal roles and highlights the aspect of recovering from demands [84]. Support for the reliability and validity of the work-life balance scale is provided [84].
Children’s health related quality of life was measured with the KIDSSCREEN-10 index in the proxy measure for parents [86], with higher sum scores (range 10–50) reflecting better quality of life. The 10 items rated on a five-point Likert scale ranging from 1 (not at all/never) to 5 (extremely/always) address affective symptoms of depressed mood, cognitive symptoms of disturbed concentration, psycho-vegetative aspects of vitality, energy and feeling well, and psychosocial aspects correlated with mental health, such as the relationship with the their parents (e.g., “Has your child felt that his/her parent(s) treated him/her fairly?”). Good psychometric properties such as the ability to differentiate between different groups of mental/physical health were reported [86]. Regarding the proxy report, convergent validity with other children self-report health-related quality of life questionnaires for the KIDSCREEN-10 children self-report (r = 0.43 to r = 0.63) and to a lesser extent with the KIDSSCREEN-10 parent proxy report (r = 0.22 to r = 0.40) was shown [86].

2.6. Data Analysis

Feasibility indicators were reported descriptively.
Missing single items were replaced in each scale by the individual’s mean of the available values [87]. However, if the complete questionnaire was missing, the participant was excluded from the respective analysis according to the per-protocol (PP) analysis. The number of allowed missing values complied with the instructions of the test authors (at maximum 20% of missing values had been allowed) except for the KIDSSCREEN-10-Index with 20% of missing values allowed. The instrument was validated for children and adolescents aged from eight to 18 years, and we included parents with children of other age groups as well.
We used t-tests for normally distributed values, Mann-Whitney-U tests for variables that did not meet the assumption of the normal distribution, and chi-square tests for analyses of differences between the IG and the CG in baseline values of the target variables and demographic characteristics. Group differences in all target variables over time were investigated using a mixture of three-factor repeated measures (T0, T1, T2) and between-groups measures (IG, CG) ANOVA, a mixed design. AGSE was normally distributed for all groups except for T0 of the IG (p = 0.048) using the novel, as assessed by the Shapiro-Wilk test (p > 0.05). TS-WLB and KIDSSCREEN-10 index were normally distributed for all groups, as assessed by the Shapiro-Wilk test (p > 0.05). Differences from T0 to T1 and T0 to T2 (T1-T0, T2-T0, difference score > 0 indicating an increase in the respective outcome variable) were calculated by conducting contrast analyses. Due to the small sample size, we calculated both the parametric as well as the non-parametric Mann-Whitney-U test. 95% confidence intervals (95%-CI) were computed.
To appraise clinical relevance, effect sizes were calculated. We reported the amount of variance in follow-up outcomes that was explained by the intervention over and above the baseline values of outcomes (partial eta square, ɳp2). In line with Cohen [88], we regarded ɳp2 = 0.01 as small, ɳp2 = 0.03 as medium and ɳp2 = 0.14 as large effects. An approximate effect size, r, which is calculated from the z-score/from the F-ratio, was used for the non-parametric tests/contrasts with an effect size less than 0.1 as a small effect, between 0.1 and 0.3 as a medium effect and greater than 0.5 as a large effect [89]. All data management and statistical analyses were conducted using IBM SPSS statistics 25 (IBM Corporation, Armonk, NY, USA).

2.7. Ethical Approval and Registration

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Ulm University (204/17; date of decision: 31 July 2017). The investigation was registered by the German Clinical Trial Register (DRKS) under ID number DRKS00013544.

3. Results

Of the 56 employees interested in study participation, 24 were included. The participant flow during the study according to the CONSORT statement [90] is presented in Figure 1. Recruitment was hindered due to participants’ professional obligations. Ultimately, 16 (66.7%) of the 24 participants completed the follow-up assessments. Reported reasons for the failure to follow-up were professional obligations. Those who did not accomplish all three assessments did not differ significantly from those who responded to all questionnaires regarding demographic characteristics and baseline levels of the proposed outcomes. Likewise, dropouts in the IG did not differ significantly from dropouts in the CG.
The demographics of our sample are displayed in Table 1. All participants had at least one child except for one person in the CG who did not give any information (4.2%). One person in the CG reported that no children lived in their joint household any longer (4.2%); two participants in the CG did not give any information (8.3%). At baseline, no significant differences between the IG and the CG in socio-demographic, professional and family characteristics were found which also holds for the outcome variables between the IG and the CG (Table 1) and those participants included in the respective 2 × 3 ANOVAs.
Findings about satisfaction with the group-treatment are shown in Figure 2 and Figure 3. Overall, participants showed high satisfaction (85.7%). For more than half, the workshop was helpful in coping with the work-family conflict. More than half would recommend it to a friend (Figure 2).
Especially group exchange and therapeutic input were regarded as relevant (Figure 3). In addition to open questions, trainers and peers received sample feedback from participants which is summarized in the text below. Participants highlighted the group interaction which was characterized by openness, trust, and respect. Some felt relieved when talking about their individual situation in the safe group space. Chosen topics were regarded as relevant. However, some felt the modules were too theoretical and wished to have more time for their own compatibility analysis. Others thought that a two-day workshop took up too much time. Some participants proposed the creation of several workshops or workgroups according to the age of their children. Others suggested highlighting the role of employers in supporting work-family balance.
Descriptive statistics, intercorrelations, and internal consistencies of all target variables at baseline, follow-up and two-month-follow-up for the total sample are displayed in Table 2. Cronbach’s alpha values indicate acceptable to excellent internal consistencies in all applied scales.
There were only a few missing single items in our sample that were handled according to the procedure described in the Section 2.6 Data Analysis.
The results of the two-factor analysis of variance with repeated measures for the outcomes of self-efficacy, work-life balance and children’s health related quality of life are shown in Table 3. Differences from T0 to T1 and T0 to T2 by conducting contrast analyses are presented in Table 4.
A two-factor analysis of variance with repeated measures for the outcome of self-efficacy showed a statistically significant time x group effect (F = 5.29, p = 0.011; Table 3). Contrasts indicated significant pre-post (T1-T0, T2-T0) increases of self-efficacy in the IG as compared with the CG, with large effect sizes (Table 4).
In terms of the outcome of work-life balance, there was a significant time x group effect (F = 8.53, p = 0.001; Table 3). A contrast indicated a significant reduction of work-life balance between T0 and T2 but not between T0 and T1 in the IG as compared with the CG (Table 4).
There were no significant changes in children’s health related quality of life (F = 1.40, p = 0.267; Table 3).
Non-parametric Mann-Whitney-U tests are in line with these findings except for the outcome work-life balance between T0 and T2 (U = 17.00, z = −1.94, r = 0.45, p = 0.058).

4. Discussion

This is the first study to evaluate the feasibility of a group-treatment focusing specifically on the interplay between work and family life for healthcare professionals and their youth. Our results indicate that most participants were satisfied with the intervention, and that it helped them to feel more competent about managing competing work and family demands.
Participants were predominantly satisfied (85.7%) with the treatment. All participants rated the group exchange as good or very good. This exchange may have helped many participants realize that they were not alone in their daily struggle with combining work and family life. According to Yalom [91], universality of suffering is one change factor in group psychotherapy. Some highlighted the fact that the conversation with members of different professional groups was enriching. This preliminary result is consistent with findings that showed that team health climate as a contextual resource facilitated health-related outcomes among employees [92], and that strong social and collegial support enhanced a nurse’s capacity to cope with work and personal stress [93]. The results might give a hint that employees’ shared perceptions of the extent to which their team is concerned, cares and communicates helps in building resilience within the workforce.
Difficulties concerning recruitment of hospital workers were supported by their participation in the study The low participation rate of hospital workers, as only 24 of 48 group-treatment places were taken by them, is in line with general difficulties concerning recruitment of hospital workers [55,94]. It has been repeatedly reported that hospital staff face hazards such as long and irregular working hours, physical burdens, understaffing, social or role conflicts and many more [55]. Barriers in the recruitment of participants in hospitals to RCTs in future trials could be considered and systematically assessed. Although it has been argued that work-family specific interventions might help to prevent WFC and its detrimental consequences [67,69,93], hospital workers face the additional difficulty of being able to attend such trainings. Considering WFC in hospitals as a priority becomes even more critical considering this preliminary result. To adapt the treatment to the daily hospital routine and the current personnel situation in German hospitals, the workshop should be shortened to one day. This could be done by sharpening the theoretical contents and the yoga practice.
The maintenance of traditional gender roles in German society, where mothers remain as the primary caregivers of children, even in dual-employment marriages [95], is in line with the participation of a large proportion of women (85.7%). According to evidence that the quality of care provided to children was more strongly related to mothers’ work-family experiences [44,96], efforts to enhance how women manage their work and family responsibilities may have benefits for both the parents and the child. However, to enable fathers to buffer the negative influences of work on family members more effectively [44], strategies to encourage men to reflect upon the subject need to be addressed. Perspectives for future research might be a deeper exploration of gender differences on this topic.
Our results indicate that the group-treatment has the potential to boost self-efficacy: it led to a substantial pre-post increase of self-efficacy. This effect was sustained during the two-month-follow-up, with a large effect size. The intervention did not have a significant effect on children’s health-related quality of life, which was slightly increasing over time in the IG in contrast to the CG. After having risen to some extent between baseline and follow-up, the work-life balance decreased considerably in the IG as compared with the CG between baseline and two-month-follow-up.
To make sense of this pattern of preliminary findings and to address lessons for future research and practice, we can distinguish three types of outcomes: (1) self-efficacy as a personal resource; (2) work-life balance as a predictor of health, family well-being and organizational outcomes and (3) the children’s health-related quality of life as a consequence of parents’ negative work experiences [42,44,45].
Self-efficacy refers to beliefs in one’s capabilities to meet situational demands and successfully carry out a given course of action. Strengthened occupational and family self-efficacy indicates that people feel more competent about managing competing work and family demands. Our results are consistent with other intervention research [66,68,97]. Ten Brummelhuis and Bakker [60] proposed that key resources like self-efficacy, optimism and self-esteem facilitated efficient and effective coping with contextual demands. Self-efficacy, optimism, hope, and resiliency were found to have a significant positive relationship with participants’ work well-being and work-life balance five months later [98]. Future studies could address its mediating role for work-life balance and other health-related and organizational outcomes. Its interactions with job control need to be addressed [99]. Therefore, a longer observation period would be beneficial.
The unexpected reduction of work-life balance between baseline and two-month-follow-up in the IG as compared with the CG may be due to a sensitization process described as a side effect in psychotherapy [100]. According to Grawe [101], by actuation of the problem that motivated a patient to undergo therapy or in this case to take part in the workshop, the problems are made accessible to therapeutic processing. Talking about work-life balance may make participants realize the extent to which they face difficulties in combining work and family roles.
Vahedi and colleagues [43] reported that both work-family conflict and inter-parental conflict represented two potential levers for interventions to produce health benefits for the whole family system. As individuals within families continually influence one another [44,96,102], efforts to reduce stress and strain on employees and to promote work-life balance across generations could include partners as part of these interventions. Another reason why the children’s health-related quality of life did not change might be that the questionnaire was insensitive to our study changes. Due to the unexpectedly small sample size, the KIDSSCREEN-10 could not be examined in detail. In future trials, more specific instruments adapted to age groups or even direct child and adolescent questioning are recommended.
The results might be additionally explained by the fact that as a single-stage intervention, it may not have been significant enough to affect changes in the domains of work-life balance and the children’s health-related quality of life. Indirect support for this assertion can be drawn from the fact that previous interventions to reduce stress at the work-private interface and dysfunctional parenting consisted of a larger number of sessions [65,66,68]. Future research should investigate whether additional booster sessions may lead to more sustained health-related outcomes. However, these should be adaptable to the daily hospital routine. Furthermore, it would be interesting to address the fit between employees and the intervention by considering that persons more vulnerable to WFC benefited more from an initiative which targeted work practices, interactions, and expectation [103].
A limitation of the study might be its small sample size. According to recommendations for reporting results of pilot studies [104], results from hypothesis testing are treated as preliminary and need to be interpreted with caution. Although there were no differences in observed variables at T0 between the IG and the CG, the further threat to internal validity due to the quasi-experimental trial’s nature needs to be taken into consideration, for example in terms of self-selection bias [73]. Competing influences like structural changes in the hospital of interest may have influenced our results. Furthermore, group dynamics, for example influenced by belonging and power, and group-specific impact factors, for example vicarious learning and interpersonal feedback, vary depending on the respective group despite of an active structuring procedure and might therefore have an influence on the effects of the group-treatment. The selection and forming of the group might be considered [75] as well. The reasons for barriers in the recruitment of hospital workers and the loss to follow-up were not assessed systematically, however, the given hospital structures and participants’ professional obligations were the main determinants in this respect, pointing to the urgently needed change at the structural and political level. In addition, the follow-up assessments directly after the intervention and two months later may limit our ability to measure long-term effects. The fact that the KIDSSCREEN-10 could not be examined according to age groups and did only refer to one child per respondent might be another limitation of the study, restricting interpretability of this instrument. The rating of the children’s health-related quality of life in the proxy measure for parents entails potential bias [86]. Although parental proxy reports might be considered as a potential substitute for self-reported ratings [105,106], self-reports and proxy reports both constitute important complementary information concerning children’s health [107]. Furthermore, a social desirability bias in rating scales cannot be excluded. Future studies might use multiple data sources, especially concerning the KIDSSCREEN-10. Moreover, it is difficult to capture the changes reported by participants with quantitative data [108]. Additionally, any bias due to the circumstances when filling in the questionnaire, for example the influence of other persons at home which could not be controlled for or presence of other participants after the group-treatment needs to be taken into consideration. Furthermore, coping with the work-family conflict is not only of high relevance for working parents but also for those with family members in need of special care [38,39]. When the contents for future group-treatments are planned, this could be taken into consideration as an additional subject.
In general, prevention in the healthcare sector is often focused on the individual perspective [109]. However, findings suggest that a nurse’s capacity to cope with work and personal stress is enhanced not only through positive affirmation but also through strong social and collegial support and an infrastructure that supports the provision of quality nursing care [93]. While there is evidence for the success of interventions for promotion of mental health [70], these often individualize feelings and troubles rather than politicizing them. The concept of ‘therapy culture’ highlights the blaming of the individual for structural injustices instead of addressing the origins of these injustices [110,111]. Therefore, it needs to be critically discussed which scope of action healthcare professionals really have in view of large structural difficulties [13,55,112], and if interventions that aim to build individual resilience in the workforce are sufficient to buffer adverse effects. To address these questions, the perspectives for future research would be a study with a larger sample size within a longer observation period.
Research highlights the role of tackling job demands instead of job resources in order to reduce negative health- and job-related outcomes [52]. As dispositions such as negative and positive affect, neuroticism and self-efficacy play the role of antecedents in predicting perceived work and family stressors and WFC [56,113], structural changes on the organizational level could go hand in hand with individual training [7]. The short- and long-term effects of an intervention study targeting the changes undertaken by the hospital to reduce adverse psychosocial work factors show the importance of highlighting the organizational level [114,115]. According to research conducted by Stordeur and colleagues [116], hospitals could work on their attractiveness as employers through the improvement of workplace well-being, for example social support from supervisors and flexible work arrangements. Interventions designed to promote employees’ control over the timing, and to train supervisors to provide personal and performance support to the employees could be useful in reducing the amount of WFC [103]. Gündel and colleagues [55], as well as a study conducted by Lunau and colleagues [36], highlighted not only the individual and the organizational, but also the public health impact on work-life balance, for example working time regulations, appreciation of healthcare workers’ professional efforts and their burden on family life.
The goal on the individual, organizational and political level of intervention could be that instead of conceptualizing the work and family domains as conflicting, work-family spillover could also transfer positive experiences, moods and attitudes between work and family [117] as a benefit for both employers and employees as well as their children.

5. Conclusions

Taken together, the results indicate that the group-treatment adapted to the needs of healthcare professionals has the potential to boost self-efficacy in the daily struggle of combining work and family life. The study provides first evidence to the hypothesis that the group-treatment may be valuable for healthcare professionals. However, it does not tackle the structural source of work-family conflict in the healthcare sector, which needs to be addressed by policymakers when it comes to improving working conditions. Perspectives for future research would include a larger study aiming at investigating the effects of a treatment at the individual, organizational and political levels on multiple health- and organization-related outcomes which could empower the mental health of healthcare professionals. Multiple data sources as well as booster sessions might be useful. However, limited resources in the healthcare sector should be addressed.

Author Contributions

Conceptualization, N.R.H., M.G., N.M., L.J.-B., U.Z., H.G. and E.R.; data curation, N.R.H. and N.M.; formal analysis, N.R.H. and T.K.; funding acquisition, N.M., L.J.-B., U.Z., H.G. and E.R.; investigation, N.R.H., N.M. and E.R.; methodology, N.R.H. and T.K.; project administration, M.G. and N.M.; supervision, H.G. and E.R.; validation, E.R.; visualization, N.R.H.; writing—original draft, N.R.H.; writing—review and editing, M.G., T.K., N.M., L.J.-B., U.Z., H.G. and E.R. Each author is accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriate investigated and resolved. All authors have read and agreed to the published version of the manuscript.

Funding

This project is funded by the German Federal Ministry of Education and Research (BMBF) under the funding code 01GL1752A. The BMBF has not any role in the design of the study, data collection, analysis of data, interpretation of data and dissemination of findings.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Ulm University (204/17; 31 July 2017). The investigation was registered by the German Clinical Trial Register (DRKS) under ID number DRKS00013544 (https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00013544) (accessed on 8 October 2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data sets generated for this study will not be made publicly available due to privacy reasons. The data supporting the results of this study can be requested from NH, but restrictions apply if the use could endanger the anonymity of the participants.

Acknowledgments

This trial is embedded in the study “Mental Health in the Workplace Hospital” (SEEGEN), which aims to develop and implement behavioral and relational interventions to reduce stress in hospitals. SEEGEN is a joint project, the success of which was made possible by good interdisciplinary cooperation. We would like to thank the members of the SEEGEN consortium as well as all participating hospital employees and especially the management and staff who supported us on site.

Conflicts of Interest

The authors declare no conflict of interests.

Appendix A

Table A1. Skala zur Erfassung der adaptierten Selbstwirksamkeitserwartung [Adapted General Self-Efficacy Scale].
Table A1. Skala zur Erfassung der adaptierten Selbstwirksamkeitserwartung [Adapted General Self-Efficacy Scale].
#Item
1Ich finde Mittel und Wege, Beruf und Familie trotz Widerständen zu vereinbaren. [I find ways and means to reconcile work and family despite obstacles.]
2Die Vereinbarkeit von Beruf und Familie gelingt mir immer, wenn ich mich darum bemühe. [I always succeed in balancing work and family life if I make an effort to do so.]
3Es bereitet mir keine Schwierigkeiten, meine beruflichen und familiären Ziele/Pflichten zu vereinbaren. [I have no difficulty balancing my professional and family goals/duties.]
4In unerwarteten Situationen weiß ich immer, wie ich mich verhalten soll. [In unexpected situations, I always know how to act.]
5Auch bei überraschenden Ereignissen im Beruf oder in der Familie glaube ich, dass ich damit gut zurechtkommen kann. [I believe that I can cope well even with surprising events at work or in the family.]
6Schwierigkeiten im Beruf oder in der Familie sehe ich gelassen entgegen, weil ich meinen Fähigkeiten immer vertrauen kann. [I face difficulties at work or in my family calmly because I can always trust my abilities.]
7Was auch immer passiert, ich werde schon klarkommen. [Whatever happens, I will manage it.]
8Für jedes Problem, welches meinen Beruf oder meine Familie betrifft, kann ich eine Lösung finden. [For every problem concerning my job or my family, I can find a solution.]
9Wenn Veränderungen im Beruf oder in der Familie auf mich zukommen, weiß ich, wie ich damit umgehen kann. [When changes come my way at work or in my family, I know how to deal with them.]
10Wenn ein Problem auftaucht, kann ich es aus eigener Kraft meistern. [When a problem arises, I can cope with it on my own.]

References

  1. Greenhaus, J.H.; Beutell, N.J. Sources of Conflict Between Work and Family Roles. Acad. Manag. Rev. 1985, 10, 76–88. [Google Scholar] [CrossRef]
  2. Cortese, C.G.; Colombo, L.; Ghislieri, C. Determinants of Nurses’ Job Satisfaction: The Role of Work-Family Conflict, Job Demand, Emotional Charge and Social Support. J. Nurs. Manag. 2010, 18, 35–43. [Google Scholar] [CrossRef]
  3. Dyrbye, L.N.; Sotile, W.; Boone, S.; West, C.P.; Tan, L.; Satele, D.; Sloan, J.; Oreskovich, M.; Shanafelt, T. A Survey of U.S. Physicians and Their Partners Regarding the Impact of Work-Home Conflict. J. Gen. Intern. Med. 2014, 29, 155–161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Fuß, I.; Nübling, M.; Hasselhorn, H.M.; Schwappach, D.; Rieger, M.A. Working Conditions and Work-Family Conflict in German Hospital Physicians: Psychosocial and Organisational Predictors and Consequences. BMC Public Health 2008, 8, 1–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Gonnelli, C.; Raffagnino, R. Work-Family Conflict in Nursing: An Integrative Review of Its Antecedents and Outcomes. IAFOR J. Psychol. Behav. Sci. 2017, 3, 61–84. [Google Scholar] [CrossRef]
  6. Hwang, E.; Yu, Y. Effect of Sleep Quality and Depression on Married Female Nurses’ Work–Family Conflict. Int. J. Environ. Res. Public Health 2021, 18, 7838. [Google Scholar] [CrossRef] [PubMed]
  7. Mache, S.; Bernburg, M.; Vitzthum, K.; Groneberg, D.A.; Klapp, B.F.; Danzer, G. Managing Work-Family Conflict in the Medical Profession: Working Conditions and Individual Resources as Related Factors. BMJ Open 2015, 5, e006871. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Rantanen, M.; Mauno, S.; Kinnunen, U.; Rantanen, J. Do Individual Coping Strategies Help or Harm in the Work-Family Conflict Situation? Examining Coping as a Moderator Between Work-Family Conflict and Well-Being. Int. J. Stress Manag. 2011, 18, 24–48. [Google Scholar] [CrossRef]
  9. Simon, M.; Kümmerling, A.; Hasselhorn, H.M. Work-Home Conflict in the European Nursing Profession. Int. J. Occup. Environ. Health 2004, 10, 384–391. [Google Scholar] [CrossRef]
  10. Weinberg, A.; Creed, F. Stress and Psychiatric Disorder in Healthcare Professionals and Hospital Staff. Lancet 2000, 355, 533–537. [Google Scholar] [CrossRef]
  11. Karl-Trummer, U. Arbeitsbedingungen und Arbeitsbelastungen von Mitarbeiterinnen und Mitarbeitern im Krankenhaus—Ärztinnen und Ärzte im Vergleich mit anderen Berufsgruppen. [Working Conditions and Workload of Hospital Employees—Physicians Compared with other Occupation Groups]. In Arbeitsbedingungen und Befinden von Ärztinnen und Ärzten: Befunde und Interventionen; Schwartz, F.W., Angerer, P., Eds.; Deutscher Ärzte-Verlag: Köln, Germany, 2010; pp. 373–383. [Google Scholar]
  12. Blum, K. Fachkräftemangel und Stellenbesetzungsprobleme im Krankenhaus—Bestandsaufnahme und Handlungsoptionen. [Shortage of Skilled Workers and Staffing Problems in Hospitals—Assessment and Options for Action.]. In Arbeiten im Gesundheitswesen: Psychosoziale Arbeitsbedingungen—Gesundheit der Beschäftigten—Qualität der Patientenversorgung; Angerer, P., Gündel, H., Brandenburg, S., Nienhaus, A., Letzel, S., Nowak, D., Eds.; Ecomed Medizin: Landsberg am Lech, Germany, 2019; pp. 64–73. [Google Scholar]
  13. Brücher, B.L.D.M.; Deufert, D. German Nursing Shortage in Hospitals—Homemade by Profititis? 4Open 2019, 2, 3. [Google Scholar] [CrossRef]
  14. Prokop, A.; Prokop, J. Pflegefall Medizinische Versorgung in Deutschland [Medical Supply in Germany—A Nursing Case]. Zeitschrift für Orthopädie und Unfallchirurgie 2020, 158, 146–149. [Google Scholar] [CrossRef] [Green Version]
  15. Degen, C.; Li, J.; Angerer, P. Physicians’ Intention to Leave Direct Patient Care: An Integrative Review. Hum. Resour. Health 2015, 13, 1–12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Hayes, L.J.; O’Brien-Pallas, L.; Duffield, C.; Shamian, J.; Buchan, J.; Hughes, F.; Laschinger, H.K.S.; North, N. Nurse Turnover: A Literature Review—An Update. Int. J. Nurs. Stud. 2012, 49, 887–905. [Google Scholar] [CrossRef]
  17. Kopetsch, T. Dem Deutschen Gesundheitswesen Gehen die Ärzte aus! Studie zur Altersstruktur- und Arztzahlenentwicklung [The German Health System Is Running out of Physicians! Study Concerning the Development of Age Structure and the Number of Physicians]; Bundesärztekammer und Kassenärztliche Bundesvereinigung: Berlin, Germany, 2010. [Google Scholar]
  18. Maier, T.; Afentakis, A. Forecasting Supply and Demand in Nursing Professions: Impacts of Occupational Flexibility and Employment Structure in Germany. Hum. Resour. Health 2013, 11, 24. [Google Scholar] [CrossRef] [Green Version]
  19. Simoens, S.; Hurst, J. The Supply of Physician Services in OECD Countries. In OECD Health Working Papers; OECD Publishing: Paris, France, 2006. [Google Scholar] [CrossRef]
  20. Zhang, X.; Lin, D.; Pforsich, H.; Lin, V.W. Physician Workforce in the United States of America: Forecasting Nationwide Shortages. Hum. Resour. Health 2020, 18, 1–9. [Google Scholar] [CrossRef]
  21. Reiff, E.; Gade, C.; Bröhlich, S. Handling the Shortage of Nurses in Germany: Opportunities and Challenges of Recruiting Nursing Staff from Abroad. IUBH Discuss. Pap.—Hum. Resour. 2020, 1, 1–30. [Google Scholar]
  22. Kraft, S. Welche Auswirkungen hat der Fachkräftemangel? [Which are the Consequences of Skills Shortage?]. Pflegezeitschrift 2019, 72, 58–59. [Google Scholar] [CrossRef]
  23. Nilsen, W.; Skipstein, A.; Østby, K.A.; Mykletun, A. Examination of the Double Burden Hypothesis-a Systematic Review of Work-Family Conflict and Sickness Absence. Eur. J. Public Health 2017, 27, 465–471. [Google Scholar] [CrossRef]
  24. Pien, L.C.; Cheng, W.J.; Chou, K.R.; Lin, L.C. Effect of Work–Family Conflict, Psychological Job Demand, and Job Control on the Health Status of Nurses. Int. J. Environ. Res. Public Health 2021, 18, 3540. [Google Scholar] [CrossRef] [PubMed]
  25. Rice, R.W.; Frone, M.R.; McFarlin, D.B. Work—Nonwork Conflict and the Perceived Quality of Life. J. Organ. Behav. 1992, 13, 155–168. [Google Scholar] [CrossRef]
  26. Vandenbroeck, S.; Van Gerven, E.; De Witte, H.; Vanhaecht, K.; Godderis, L. Burnout in Belgian Physicians and Nurses. Occup. Med. 2017, 67, 546–554. [Google Scholar] [CrossRef] [Green Version]
  27. Zhang, Y.; Punnett, L.; Nannini, A. Work-Family Conflict, Sleep, and Mental Health of Nursing Assistants Working in Nursing Homes. Work. Health Saf. 2017, 65, 295–303. [Google Scholar] [CrossRef]
  28. Borgmann, L.S.; Rattay, P.; Lampert, T. Longitudinal Analysis of Work-to-Family Conflict and Self-Reported General Health among Working Parents in Germany. Int. J. Environ. Res. Public Health 2020, 17, 3966. [Google Scholar] [CrossRef]
  29. Blanco-Donoso, L.M.; Moreno-Jiménez, J.; Hernández-Hurtado, M.; Cifri-Gavela, J.L.; Jacobs, S.; Garrosa, E. Daily Work-Family Conflict and Burnout to Explain the Leaving Intentions and Vitality Levels of Healthcare Workers: Interactive Effects Using an Experience-Sampling Method. Int. J. Environ. Res. Public Health 2021, 18, 1932. [Google Scholar] [CrossRef]
  30. Estryn-Behar, M.; Doppia, M.A.; Guetarni, K.; Fry, C.; Machet, G.; Pelloux, P.; Aune, I.; Muster, D.; Lassaunière, J.M.; Prudhomme, C. Emergency Physicians Accumulate More Stress Factors than Other Physicianse—Results from the French SESMAT Study. Emerg. Med. J. 2011, 28, 397–410. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Guille, C.; Frank, E.; Zhao, Z.; Kalmbach, D.A.; Nietert, P.J.; Mata, D.A.; Sen, S. Work-Family Conflict and the Sex Difference in Depression among Training Physicians. JAMA Intern. Med. 2017, 177, 1766–1772. [Google Scholar] [CrossRef] [PubMed]
  32. Hämmig, O.; Gutzwiller, F.; Bauer, G. Work-Life Conflict and Associations with Work- and Nonwork-Related Factors and with Physical and Mental Health Outcomes: A Nationally Representative Cross-Sectional Study in Switzerland. BMC Public Health 2009, 9, 1–15. [Google Scholar] [CrossRef] [Green Version]
  33. Hämmig, O.; Knecht, M.; Läubli, T.; Bauer, G.F. Work-Life Conflict and Musculoskeletal Disorders: A Cross-Sectional Study of an Unexplored Association. BMC Musculoskelet. Disord. 2011, 12, 1–12. [Google Scholar] [CrossRef] [Green Version]
  34. Jerg-Bretzke, L.; Limbrecht-Ecklundt, K.; Walter, S.; Spohrs, J.; Beschoner, P. Correlations of the “Work–Family Conflict” With Occupational Stress—A Cross-Sectional Study Among University Employees. Front. Psychiatry 2020, 11, 134. [Google Scholar] [CrossRef] [Green Version]
  35. Leineweber, C.; Westerlund, H.; Chungkham, H.S.; Lindqvist, R.; Runesdotter, S.; Tishelman, C. Nurses’ Practice Environment and Work-Family Conflict in Relation to Burn out: A Multilevel Modelling Approach. PLoS ONE 2014, 9, e96991. [Google Scholar] [CrossRef]
  36. Lunau, T.; Bambra, C.; Eikemo, T.A.; Van Der Wel, K.A.; Dragano, N. A Balancing Act? Work-Life Balance, Health and Well-Being in European Welfare States. Eur. J. Public Health 2014, 24, 422–427. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Galatsch, M.; Iskenius, M.; Müller, B.H.; Hasselhorn, H.M. Vergleich der Gesundheit und Identifizierung von Prädiktoren der Gesundheit in verschiedenen Altersgruppen Pflegender in Deutschland. [Comparison of Health and Identification of Predictors of Health in Different Age Groups of Caregivers in Germany.]. Pflege 2012, 25, 23–32. [Google Scholar] [CrossRef] [PubMed]
  38. Boumans, N.P.G.; Dorant, E. Double-Duty Caregivers: Healthcare Professionals Juggling Employment and Informal Caregiving. A Survey on Personal Health and Work Experiences. J. Adv. Nurs. 2014, 70, 1604–1615. [Google Scholar] [CrossRef] [Green Version]
  39. Depasquale, N.; Davis, K.D.; Zarit, S.H.; Moen, P.; Hammer, L.B.; Almeida, D.M. Combining Formal and Informal Caregiving Roles: The Psychosocial Implications of Double- and Triple-Duty Care. J. Gerontol.—Ser. B Psychol. Sci. Soc. Sci. 2016, 71, 201–211. [Google Scholar] [CrossRef] [Green Version]
  40. Gali Cinamon, R.; Weisel, A.; Tzuk, K. Work-Family Conflict within the Family: Crossover Effects, Perceived Parent-Child Interaction Quality, Parental Self-Efficacy, and Life Role Attributions. J. Career Dev. 2007, 34, 79–100. [Google Scholar] [CrossRef]
  41. Hosokawa, R.; Katsura, T. Maternal Work–Life Balance and Children’s Social Adjustment: The Mediating Role of Perceived Stress and Parenting Practices. Int. J. Environ. Res. Public Health 2021, 18, 6924. [Google Scholar] [CrossRef] [PubMed]
  42. Strazdins, L.; Obrien, L.V.; Lucas, N.; Rodgers, B. Combining Work and Family: Rewards or Risks for Children’s Mental Health? Soc. Sci. Med. 2013, 87, 99–107. [Google Scholar] [CrossRef]
  43. Vahedi, A.; Krug, I.; Westrupp, E.M. Crossover of Parents’ Work-Family Conflict to Family Functioning and Child Mental Health. J. Appl. Dev. Psychol. 2019, 62, 38–49. [Google Scholar] [CrossRef]
  44. Vieira, J.M.; Matias, M.; Ferreira, T.; Lopez, F.G.; Matos, P.M. Parents’ Work-Family Experiences and Children’s Problem Behaviors: The Mediating Role of the Parent-Child Relationship. J. Fam. Psychol. 2016, 30, 419–430. [Google Scholar] [CrossRef] [Green Version]
  45. Dinh, H.; Cooklin, A.R.; Leach, L.S.; Westrupp, E.M.; Nicholson, J.M.; Strazdins, L. Parents’ Transitions into and out of Work-Family Conflict and Children’s Mental Health: Longitudinal Influence via Family Functioning. Soc. Sci. Med. 2017, 194, 42–50. [Google Scholar] [CrossRef]
  46. Shimazu, A.; Bakker, A.B.; Demerouti, E.; Fujiwara, T.; Iwata, N.; Shimada, K.; Takahashi, M.; Tokita, M.; Watai, I.; Kawakami, N. Workaholism, Work Engagement and Child Well-Being: A Test of the Spillover-Crossover Model. Int. J. Environ. Res. Public Health 2020, 17, 6213. [Google Scholar] [CrossRef] [PubMed]
  47. Grzywacz, J.G.; Frone, M.R.; Brewer, C.S.; Kovner, C.T. Quantifying Work-Family Conflict among Registered Nurses. Res. Nurs. Health 2006, 29, 414–426. [Google Scholar] [CrossRef] [PubMed]
  48. Moloney, W.; Boxall, P.; Parsons, M.; Cheung, G. Factors Predicting Registered Nurses’ Intentions to Leave Their Organization and Profession: A Job Demands-Resources Framework. J. Adv. Nurs. 2018, 74, 864–875. [Google Scholar] [CrossRef] [PubMed]
  49. Jerg-Bretzke, L.; Krüsmann, P.; Traue, H.C.; Limbrecht-Ecklundt, K. “Was ihr wollt”, Ergebnisse einer empirischen Bedarfsanalyse zur Verbesserung der Vereinbarkeit von Familie und Beruf bei Ärztinnen und Ärzten [What you Want—Results of an Empirical Needs Analysis Improving the Work-Family Conflict for Physicians]. Gesundheitswesen 2018, 80, 20–26. [Google Scholar] [CrossRef] [PubMed]
  50. Blum, K.; Löffert, S. Ärztemangel im Krankenhaus—Ausmaß, Ursachen, Gegenmaßnahmen: Forschungsgutachten im Auftrag der Deutschen Krankenhausgesellschaft. [Shortage of Physicians in Hospitals—Extent, Causes, Countermeasures: Research Report Commissioned by the Deutsche Krankenhausgesellschaft]; Deutsches Krankenhausinstitut: Düsselsdorf, Germany, 2010. [Google Scholar]
  51. Gensch, C. Berufsentscheidungen junger Ärztinnen und Ärzte: Auswirkungen auf das ärztliche Versorgungsangebot [Young Doctors’ Job Decisions and the Consequences on Medical Supply]. In Arbeitsbedingungen und Befinden von Ärztinnen und Ärzten: Befunde und Interventionen; Schwartz, F.W., Angerer, P., Eds.; Deutscher Ärzte-Verlag: Köln, Germany, 2010; pp. 127–136. [Google Scholar]
  52. Schaufeli, W.B.; Bakker, A.B. Job Demands, Job Resources, and Their Relationship with Burnout and Engagement: A Multi-Sample Study. J. Organ. Behav. 2004, 25, 293–315. [Google Scholar] [CrossRef] [Green Version]
  53. Zendler, M.; Krug, S. Gestaltung Ärztlicher Arbeitsbedingungen: Arbeitsgestaltung aus Sicht der Kaufmännischen Leitung [Shaping of Working Conditions for Physicians from Commercial Point of View]. In Arbeitsbedingungen und Befinden von Ärztinnen und Ärzten: Befunde und Interventionen; Schwartz, F., Angerer, P., Eds.; Deutscher Ärzte-Verlag: Köln, Germany, 2010; pp. 403–410. [Google Scholar]
  54. Borgmann, L.S.; Kroll, L.E.; Müters, S.; Rattay, P.; Lampert, T. Work-Family Conflict, Self-Reported General Health and Work-Family Reconciliation Policies in Europe: Results from the European Working Conditions Survey 2015. SSM—Popul. Health 2019, 9, 100465. [Google Scholar] [CrossRef]
  55. Gündel, H.; Born, M.; Drews, A.; Mulfinger, N.; Junne, F.; Müller, A.; Angerer, P.; Schweitzer, J. Gesundheit von Krankenhauspersonal: Kaum Spielräume für Verbesserungen. [Health of Hospital Staff: Little Room for Improvement]. Deutsches Ärzteblatt 2020, 117, A-2281–B-1927. [Google Scholar]
  56. Allen, T.D.; Johnson, R.C.; Saboe, K.N.; Cho, E.; Dumani, S.; Evans, S. Dispositional Variables and Work-Family Conflict: A Meta-Analysis. J. Vocat. Behav. 2012, 80, 17–26. [Google Scholar] [CrossRef]
  57. Morganson, V.J.; Litano, M.L.; Oâneill, S.K. Promoting Work-Family Balance through Positive Psychology: A Practical Review of the Literature. Psychol. J. 2014, 17, 221–244. [Google Scholar] [CrossRef] [Green Version]
  58. Bandura, A. Social Foundations of Thought and Action: A Social Cognitive Theory; Prentice Hall: Englewood Cliffs, NJ, USA, 1986. [Google Scholar]
  59. Bandura, A. Self-Efficacy: The Exercise of Control. Self-Efficacy: The Exercise of Control; W. H. Freeman: New York, NY, USA, 1997. [Google Scholar]
  60. ten Brummelhuis, L.L.; Bakker, A.B. A Resource Perspective on the Work-Home Interface: The Work-Home Resources Model. Am. Psychol. 2012, 67, 545–556. [Google Scholar] [CrossRef] [Green Version]
  61. Xanthopoulou, D.; Bakker, A.B.; Demerouti, E.; Schaufeli, W.B. The Role of Personal Resources in the Job Demands-Resources Model. Int. J. Stress Manag. 2007, 14, 121–141. [Google Scholar] [CrossRef] [Green Version]
  62. Luthans, F.; Avolio, B.J.; Avey, J.B.; Norman, S.M. Positive Psychological Capital: Measurement and Relationship with Performance and Satisfaction. Pers. Psychol. 2007, 60, 541–572. [Google Scholar] [CrossRef] [Green Version]
  63. Cinamon, R.G. Anticipated Work-Family Conflict: Effects of Gender, Self-Efficacy, and Family Background. Career Dev. Q. 2006, 54, 202–215. [Google Scholar] [CrossRef]
  64. Smoktunowicz, E.; Cieslak, R.; Demerouti, E. Interrole Conflict and Self-Efficacy to Manage Work and Family Demands Mediate the Relationships of Job and Family Demands with Stress in the Job and Family Domains. Anxiety Stress Coping 2017, 30, 485–497. [Google Scholar] [CrossRef] [PubMed]
  65. Terp, U.; Hjärthag, F.; Bisholt, B. Effects of a Cognitive Behavioral-Based Stress Management Program on Stress Management Competency, Self-Efficacy and Self-Esteem Experienced by Nursing Students. Nurse Educ. 2019, 44, E1–E5. [Google Scholar] [CrossRef]
  66. Hartung, D.; Hahlweg, K. Strengthening Parent Well-Being at the Work-Family Interface: A German Trial on Workplace Triple P. J. Community Appl. Soc. Psychol. 2010, 20, 404–418. [Google Scholar] [CrossRef]
  67. Lukasczik, M.; Ahnert, J.; Ströbl, V.; Vogel, H.; Donath, C.; Enger, I.; Gräel, E.; Heyelmann, L.; Lux, H.; Maurer, J.; et al. Compatibility of Work and Family Life of Employees in the Healthcare Sector: An Issue in Health Services Research. Gesundheitswesen 2018, 80, 511–521. [Google Scholar] [CrossRef] [Green Version]
  68. Janssen, M.; van der Heijden, B.; Engels, J.; Korzilius, H.; Peters, P.; Heerkens, Y. Effects of Mindfulness-Based Stress Reduction Training on Healthcare Professionals’ Mental Health: Results from a Pilot Study Testing Its Predictive Validity in a Specialized Hospital Setting. Int. J. Environ. Res. Public Health 2020, 17, 9420. [Google Scholar] [CrossRef]
  69. Mache, S.; Kordsmeyer, A.C. Self-Care: Verhaltenspräventive Ansätze für die Psychische Gesundheitsförderung von Klinikärzten [Self-Care: Behavioral Preventive Approaches to Mental Health Promotion for Clinicians.]. In Arbeiten im Gesundheitswesen: Psychosoziale Arbeitsbedingungen—Gesundheit der Beschäftigten—Qualität der Patientenversorgung; Angerer, P., Gündel, H., Brandenburg, S., Nienhaus, A., Letzel, S., Nowak, D., Eds.; Ecomed Medizin: Landsberg am Lech, Germany, 2019; pp. 319–329. [Google Scholar]
  70. Ruotsalainen, J.H.; Verbeek, J.H.; Mariné, A.; Serra, C. Preventing Occupational Stress in Healthcare Workers. Cochrane Database Syst. Rev. 2014, 12, CD002892. [Google Scholar] [CrossRef]
  71. Bartholomew, L.K.; Parcel, G.S.; Kok, G.; Gottlieb, N.H. Planning Health Promotion Programs: An Intervention Mapping Approach, 2nd ed.; Schaalma, H., Markham, C., Tyrrell, S., Shegog, R., Fernández, M., Mullen, P.D., Gonzales, A., Tortolero-Luna, G., Partida, S., Eds.; Jossey-Bass: San Francisco, CA, USA, 2006. [Google Scholar]
  72. Döring, N.; Bortz, J. Untersuchungsdesign [Research Design]. In Forschungsmethoden und Evaluation den Sozial- und Humanwissenschaften; Döring, N., Bortz, J., Eds.; Springer Lehrbuch: Berlin/Heidelberg, Germany, 2016; pp. 181–220. [Google Scholar] [CrossRef]
  73. Maciejewski, M.L. Quasi-Experimental Design. Biostat. Epidemiol. 2020, 4, 38–47. [Google Scholar] [CrossRef]
  74. Wills, F. Kognitive Therapie Nach Aaron T. Beck [Beck’s Cognitive Therapy], 5th ed.; Junfermann Verlag: Paderborn, Germany, 2014. [Google Scholar]
  75. König, O. Gruppendynamische Grundlagen [Group-Dynamic Principles]. In Gruppenpsychotherapie: Lehrbuch für die Praxis; Strauß, B., Mattke, D., Eds.; Springer: Berlin, Germany, 2018; pp. 21–36. [Google Scholar] [CrossRef]
  76. Kanfer, F.H.; Reinecker, H.; Schmelzer, D. Selbstmanagement-Therapie: Ein Lehrbuch Für Die Klinische Praxis [Self-Management Therapy], 2nd ed.; Springer: Berlin, Germany, 2012. [Google Scholar]
  77. De Vries, H.; Dijkstra, M.; Kuhlman, P. Self-Efficacy: The Third Factor besides Attitude and Subjective Norm as a Predictor of Behavioural Intentions. Health Educ. Res. 1988, 3, 273–282. [Google Scholar] [CrossRef]
  78. Ziegenhain, U.; Gebauer, S.; Künster, A.K.; Thurn, L.; Backes, S.; Reichle, B. Auf den Anfang kommt es an: Ein Kurs für Junge Eltern [A Training for Young Parents], 2nd ed.; Landeszentrale für Gesundheitsförderung in Rheinland-Pfalz e.V.: Mainz, Germany, 2012. [Google Scholar]
  79. Ziegenhain, U.; Künster, A.K. Kommentar zu Risiken der Krippenbetreuung aus tiefenpsychologischer Sicht [Comment to Institutional Childcare]. Pädiatrische Praxis. Zeitschrift für Kinder- und Jugendmedizin Klin. und Prax. 2014, 82, 390–397. [Google Scholar]
  80. Bartholomew, L.K.; Parcel, G.S.; Kok, G.; Gottlieb, N.H.; Fernandez, M.E. Planning Health Programs: An Intervention Mapping Approach, 3rd ed.; John Wiley & Sons: Hoboken, NJ, USA, 2011. [Google Scholar]
  81. Zwack, J.; Bossmann, U. Wege aus Beruflichen Zwickmühlen: Navigieren im Dilemma [Dilemma Situations in Job Life and How to Cope with Them]; Vandenhoeck & Ruprecht GmbH & Co. KG: Göttingen, Germany, 2017. [Google Scholar]
  82. Schwarzer, R.; Jerusalem, M. Skalen Zur Erfassung von Lehrer- und Schülermerkmalen. Dokumentation der Psychometrischen Verfahren im Rahmen der Wissenschaftlichen Begleitung des Modellversuchs Selbstwirksame Schulen [Scales for the Assessment of Teacher and Student Characteristics; Freie Universität Berlin: Berlin, Germany, 1999. [Google Scholar]
  83. Schwarzer, R.; Bäßler, J.; Kwiatek, P.; Schröder, K.; Zhang, J.X. The Assessment of Optimistic Self-Beliefs: Comparison of the German, Spanish, and Chinese Versions of the General Self-Efficacy Scale. Appl. Psychol. 1997, 46, 69–88. [Google Scholar] [CrossRef]
  84. Syrek, C.; Bauer-Emmel, C.; Antoni, C.; Klusemann, J. Entwicklung und Validierung der Trierer Kurzskala zur Messung von Work-Life Balance (TKS-WLB) [Development and Validation of the Trier Scale to Measure Work-Life Balance]. Diagnostica 2011, 57, 134–145. [Google Scholar] [CrossRef] [Green Version]
  85. Greenhaus, J.; Allen, T. Work-Family Balance: A Review and Extension of the Literature. In Handbook of Occupational Health Psychology, 2nd ed.; Quick, J.C., Tetrick, L.E., Eds.; American Psychological Association: Washington, DC, USA, 2011; pp. 163–183. [Google Scholar]
  86. Ravens-Sieberer, U.; Erhart, M.; Rajmil, L.; Herdman, M.; Auquier, P.; Bruil, J.; Power, M.; Duer, W.; Abel, T.; Czemy, L.; et al. Reliability, Construct and Criterion Validity of the KIDSCREEN-10 Score: A Short Measure for Children and Adolescents’ Well-Being and Health-Related Quality of Life. Qual. Life Res. 2010, 19, 1487–1500. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Leonhart, R. Lehrbuch Statistik: Einstieg und Vertiefung [Textbook Statistics: Starting and Deepening], 4th ed.; Hogrefe: Bern, Switzerland, 2017. [Google Scholar]
  88. Cohen, J. Statistical Power Analysis for the Behavioral Sciences, 2nd ed.; Lawrence Erlbaum Associates: Hillsdale, NJ, USA, 1988. [Google Scholar]
  89. Field, A. Discovering Statistics Using IBM SPSS Statistics, 5th ed.; SAGE Publications Ltd.: London, UK, 2017. [Google Scholar]
  90. Moher, D.; Hopewell, S.; Schulz, K.F.; Montori, V.; Gøtzsche, P.C.; Devereaux, P.J.; Elbourne, D.; Egger, M.; Altman, D.G. CONSORT 2010 Explanation and Elaboration: Updated Guidelines for Reporting Parallel Group Randomised Trials. BMJ 2010, 340, c869. [Google Scholar] [CrossRef] [Green Version]
  91. Yalom, I.D. The Theory and Practice of Group Psychotherapy, 4th ed.; Basic Books: New York, NY, USA, 1995. [Google Scholar]
  92. Schulz, H.; Zacher, H.; Lippke, S. The Importance of Team Health Climate for Health-Related Outcomes of White-Collar Workers. Front. Psychol. 2017, 8, 1–14. [Google Scholar] [CrossRef] [Green Version]
  93. Drury, V.; Craigie, M.; Francis, K.; Aoun, S.; Hegney, D.G. Compassion Satisfaction, Compassion Fatigue, Anxiety, Depression and Stress in Registered Nurses in Australia: Phase 2 Results. J. Nurs. Manag. 2014, 22, 519–531. [Google Scholar] [CrossRef] [PubMed]
  94. Rothermund, E.; Michaelis, M.; Jarczok, M.N.; Balint, E.M.; Lange, R.; Zipfel, S.; Gündel, H.; Rieger, M.A.; Junne, F. Prevention of Common Mental Disorders in Employees. Perspectives on Collaboration from Three Health Care Professions. Int. J. Environ. Res. Public Health 2018, 15, 278. [Google Scholar] [CrossRef] [Green Version]
  95. Jerg-Bretzke, L.; Limbrecht, K. Where Have They Gone?—A Discussion on the Balancing Act of Female Doctors between Work and Family. GMS Z. Med. Ausbild. 2012, 29, 1–11. [Google Scholar] [CrossRef]
  96. Lawson, K.M.; Davis, K.D.; McHale, S.M.; Hammer, L.B.; Buxton, O.M. Daily Positive Spillover and Crossover from Mothers’ Work to Youth Health. J. Fam. Psychol. 2014, 28, 897–907. [Google Scholar] [CrossRef] [Green Version]
  97. Guo, Y.F.; Zhang, X.; Plummer, V.; Lam, L.; Cross, W.; Zhang, J.P. Positive Psychotherapy for Depression and Self-Efficacy in Undergraduate Nursing Students: A Randomized, Controlled Trial. Int. J. Ment. Health Nurs. 2017, 26, 375–383. [Google Scholar] [CrossRef] [PubMed]
  98. Siu, O.L. Psychological Capital, Work Well-Being, and Work-Life Balance among Chinese Employees: A Cross-Lagged Analysis. J. Pers. Psychol. 2013, 12, 170–181. [Google Scholar] [CrossRef]
  99. Schaubroeck, J.; Merritt, D.E. Divergent Effects of Job Control on Coping with Work Stressors: The Key Role of Self-Efficacy. Acad. Manag. J. 1997, 40, 738–754. [Google Scholar]
  100. Linden, M. How to Define, Find and Classify Side Effects in Psychotherapy: From Unwanted Events to Adverse Treatment Reactions. Clin. Psychol. Psychother. 2013, 20, 286–296. [Google Scholar] [CrossRef]
  101. Grawe, K. Grundriss einer Allgemeinen Psychotherapie [Outline of a General Psychotherapy]. Psychotherapeut 1995, 40, 130–145. [Google Scholar]
  102. Smoktunowicz, E.; Cieślak1, R. How Job and Family Demands Impact Change in Perceived Stress: A Dyadic Study. Int. J. Occup. Med. Environ. Health 2018, 31, 199–215. [Google Scholar] [CrossRef] [Green Version]
  103. Kelly, E.L.; Moen, P.; Oakes, J.M.; Fan, W.; Okechukwu, C.; Davis, K.D.; Hammer, L.B.; Kossek, E.E.; King, R.B.; Hanson, G.C.; et al. Changing Work and Work-Family Conflict: Evidence from the Work, Family, and Health Network. Am. Sociol. Rev. 2014, 79, 485–516. [Google Scholar] [CrossRef] [Green Version]
  104. Lancaster, G.A.; Dodd, S.; Williamson, P.R. Design and Analysis of Pilot Studies: Recommendations for Good Practice. J. Eval. Clin. Pract. 2004, 10, 307–312. [Google Scholar] [CrossRef] [PubMed]
  105. Davis, E.; Nicolas, C.; Waters, E.; Cook, K.; Gibbs, L.; Gosch, A.; Ravens-Sieberer, U. Parent-Proxy and Child Self-Reported Health-Related Quality of Life: Using Qualitative Methods to Explain the Discordance. Qual. Life Res. 2007, 16, 863–871. [Google Scholar] [CrossRef]
  106. Waters, E.; Stewart-Brown, S.; Fitzpatrick, R. Agreement between Adolescent Self-Report and Parent Reports of Health and Well-Being: Results of an Epidemiological Study. Child. Care. Health Dev. 2003, 29, 501–509. [Google Scholar] [CrossRef]
  107. Jokovic, A.; Locker, D.; Guyatt, G. Agreement between Adolescent Self-Report and Parent Reports of Health and Well-Being: Results of an Epidemiological Study. Qual. Life Res. 2004, 13, 1297–1307. [Google Scholar] [CrossRef] [PubMed]
  108. Cohen-Katz, J.; Wiley, S.; Capuano, T.; Baker, D.M.; Deitrick, L.; Shapiro, S. The Effects of Mindfulness-based Stress Reduction on Nurse Stress and Burnout: A Qualitative and Quantitative Study, Part III. Holist. Nurs. Pract. 2005, 19, 78–86. [Google Scholar] [CrossRef]
  109. Kupper, S.; Paulus, H.; Gottschaldt, E.; Mundle, G. Psychische Gesundheit in Gesundheitsberufen. [Mental Health in Healthcare Professions]. In Psychische Gesundheit am Arbeitsplatz in Deutschland; Berufsverband Deutscher Psychologinnen und Psycholgen e.V. (BDP): Berlin, Germany, 2008; pp. 31–36. [Google Scholar]
  110. Flick, S. Theorising Medical Psychotherapy: Therapeutic Practice between Professionalisation and Deprofessionalisation. Eur. J. Soc. Theory 2021, 24, 227–245. [Google Scholar] [CrossRef]
  111. Furedi, F. Therapy Culture: Cultivating Vulnerability in an Uncertain Age; Routledge: London, UK, 2004. [Google Scholar]
  112. Dragano, N. Psychosoziale Arbeitsbelastungen und Stress im Krankenhaussektor: Welchen Einfluss hat die Politisch-Ökonomische Ebene? [Psychosocial Work-Demands and Stress in the Hospital Sector: What Is the Influence of the Political-Economic Level?]. In Arbeiten im Gesundheitswesen: Psychosoziale Arbeitsbedingungen—Gesundheit der Beschäftigten—Qualität der Patientenversorgung; Angerer, P., Gündel, H., Brandenburg, S., Nienhaus, A., Letzel, S., Nowak, D., Eds.; Ecomed Medizin: Landsberg am Lech, Germany, 2019; pp. 446–454. [Google Scholar]
  113. Stoeva, A.Z.; Chiu, R.K.; Greenhaus, J.H. Negative Affectivity, Role Stress, and Work-Family Conflict. J. Vocat. Behav. 2002, 60, 1–16. [Google Scholar] [CrossRef]
  114. Bourbonnais, R.; Brisson, C.; Vézina, M. Long-Term Effects of an Intervention on Psychosocial Work Factors among Healthcare Professionals in a Hospital Setting. Occup. Environ. Med. 2011, 68, 479–486. [Google Scholar] [CrossRef]
  115. Bourbonnais, R.; Brisson, C.; Vinet, A.; Vézina, M.; Abdous, B.; Gaudet, M. Effectiveness of a Participative Intervention on Psychosocial Work Factors to Prevent Mental Health Problems in a Hospital Setting. Occup. Environ. Med. 2006, 63, 335–342. [Google Scholar] [CrossRef] [PubMed]
  116. Stordeur, S.; D’Hoore, W.; Hasselhorn, H.M.; Müller, B.H.; Tackenberg, P.; Kümmerling, A.; Simon, M.; Büscher, A.; Braeckman, L.; Kiss, P.; et al. Organizational Configuration of Hospitals Succeeding in Attracting and Retaining Nurses. J. Adv. Nurs. 2007, 57, 45–58. [Google Scholar] [CrossRef] [Green Version]
  117. Greenhaus, J.H.; Powell, G.N.; Greenhaus, J.H.; Powell, G.N. When Work and Family Are Allies: A Theory of Work-Family Enrichment. Acad. Manag. Rev. 2006, 31, 72–92. [Google Scholar] [CrossRef]
Figure 1. Selection process dataset. T0–T2 measurement points at baseline, directly after the group-treatment and two months later.
Figure 1. Selection process dataset. T0–T2 measurement points at baseline, directly after the group-treatment and two months later.
Ijerph 18 11728 g001
Figure 2. Satisfaction with the group-intervention.
Figure 2. Satisfaction with the group-intervention.
Ijerph 18 11728 g002
Figure 3. Satisfaction with parts of the group-intervention.
Figure 3. Satisfaction with parts of the group-intervention.
Ijerph 18 11728 g003
Table 1. Demographic, employment, family, and target variables at baseline for all included participants and divided into group.
Table 1. Demographic, employment, family, and target variables at baseline for all included participants and divided into group.
Intervention
(n = 7)
Mean (SD)
Control
(n = 16)
Mean (SD)
t (df); pz; p
Age (years)38.71 (6.99)42.25 (10.59)(21) = −0.80; 0.430 (ns)
Number of children2.14 (0.69)1.88 (0.96) −0.89; 0.413 (ns)
Number of children living in joint household2.14 (0.69)1.53 (0.92) −1.62; 0.142 (ns)
Mean age of children (years)7.67 (4.11)10.19 (8.40)(20.53) = −0.97; 0.346 (ns)
AGSE 128.33 (2.07)30.13 (3.72)(20) = −1.11; 0.282 (ns)
TS-WLB 24.43 (0.43)3.87 (1.01)(20) = 1.30; 0.208 (ns)
KIDSSCREEN-10 342.17 (3.71)41.64 (4.99) −0.04; 0.968 (ns)
%%χ2 (df); p
Gender (female)85.787.5(1) = 0.01; 0.907 (ns)
In a solid partnership (yes)10087.5(1) = 0.96; 0.328 (ns)
Employment (2) = 0.07; 0.964 (ns)
 Full-time contract14.318.8
 Parttime contract71.468.8
 Maternal leave14.312.5
Professional function (3) = 2.30; 0.512 (ns)
 Nursing service85.768.8
 Medical service14.36.3
 Function service in hospital0.06.3
 Other function0.018.8
Shift working (yes)100.068.8(1) = 2.80; 0.095 (ns)
Care of relatives with special needs (yes)28.643.8(1) = 0.47; 0.493 (ns)
Employment of the partner (2) = 0.96; 0.619 (ns)
 Full-time contract10087.5
 Parttime contract 6.3
 Other 6.3
1 Adapted General Self-Efficacy Scale [82]. 2 Trierer Scale to measure Work-Life Balance [84]. 3 Children’s health related quality of life in the proxy measure for parents [86]. SD = standard deviation; df = degrees of freedom; ns = not significant.
Table 2. Descriptive statistics and correlations of target variables.
Table 2. Descriptive statistics and correlations of target variables.
MeanSD123456789
1. Self-efficacy 1 (baseline)29.643.40(0.78)
2. Self-efficacy 1 (follow-up)30.793.210.62 **(0.76)
3. Self-efficacy 1 (2-month-follow-up)30.004.940.430.76 **(0.92)
4. Work-life-balance 2 (baseline)4.030.920.350.55 *0.79 **(0.86)
5. Work-life-balance 2 (follow-up)3.871.020.380.60 **0.71 **0.90 **(0.86)
6. Work-life-balance 2 (2-month-follow-up)3.910.900.330.220.52 *0.66 **0.46(0.78)
7. Perceived children’s subjective health
and well-being 3 (baseline)
41.804.55−0.080.150.330.51 *0.450.56 *(0.84)
8. Perceived children’s subjective health
and well-being 3 (follow-up)
39.225.21−0.230.380.51 *0.480.410.290.74 **(0.87)
9. Perceived children’s subjective health
and well-being 3 (2-month-follow-up)
42.325.28−0.120.190.48 *0.50 *0.210.480.80 **0.77 **(0.92)
1 [82].2 [84].3 [86]. SD = standard deviation; N = 17–22. Cronbach’s alpha in parenthesis (N = 12–21). * p < 0.05. ** p < 0.01.
Table 3. Intervention effects: ANOVA.
Table 3. Intervention effects: ANOVA.
Effect on Change Scores (ANOVA 1)
PP 2
Intervention
ControlGroup EffectTime Effect
(T0, T1, T2)
Group × Time Effect (T0, T1, T2)
OutcomesTimeMean (SD)Mean (SD)Fɳp2pFɳp2pFɳp2p
AGSE 3T028.40 (2.30)30.00 (4.07)0.650.040.4342.760.170.0815.290.270.011
T132.20 (2.77)30.55 (3.64)
T232.60 (3.21)28.18 (5.17)
TS-WLB 4T04.36 (0.43)3.89 (1.03)0.410.030.5312.860.170.0748.530.380.001
T14.48 (0.41)3.64 (1.09)
T23.56 (0.70)3.98 (0.99)
KIDSSCREEN-10 5T042.00 (4.12)42.00 (3.94)0.320.030.5842.840.190.0781.400.100.267
T142.60 (3.91)39.67 (5.10)
T243.80 (4.15)42.67 (5.74)
1 Analysis of variance. 2 Per protocol analysis. 3 Adapted General Self-Efficacy Scale [82]. 4 Trierer Scale to measure Work-Life Balance [84]. 5 Children’s health related quality of life in the proxy measure for parents [86]. AGSE: nIG = 5, nCG = 11, TS-WLB: nIG = 5, nCG = 11, KIDSSCREEN-10: nIG = 5, nCG = 9. T0-T2 measurement points at baseline, directly after the treatment and two months later. SD = standard deviation. Boldface indicates p < 0.05. Two-tailed significance.
Table 4. Intervention effects: Contrasts.
Table 4. Intervention effects: Contrasts.
Pre-Post Change
Group Difference in Pre-Post Change (T1-T0)Group Difference in Pre-Post Change (T2-T0)
OutcomesMean (95% CI)FrpMean (95% CI)Frp
AGSE 13.25 (0.08–6.43)4.830.510.0456.02 (1.03–11.01)6.690.570.022
TS-WLB 20.37 (−0.13–0.88)2.510.390.136−0.89 (−1.64–(−0.14))6.420.560.024
KIDSSCREEN-10 32.93 (−0.90–6.76)2.780.430.1211.13 (−2.35–4.62)0.500.200.492
1 Adapted General Self-Efficacy Scale [82]. 2 Trierer Scale to measure Work-Life Balance [84]. 3 Children’s health related quality of life in the proxy measure for parents [86]. AGSE: nIG = 5, nCG = 11, TS-WLB: nIG = 5, nCG = 11, KIDSSCREEN-10: nIG = 5, nCG = 9. T0-T2 measurement points at baseline, directly after the treatment and two months later. Positive group differences indicate an increase in the respective outcome in the intervention as compared to the control condition, and vice versa for negative estimates. CI = confidence interval. Boldface indicates p < 0.05. Two-tailed significance.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hander, N.R.; Gulde, M.; Klein, T.; Mulfinger, N.; Jerg-Bretzke, L.; Ziegenhain, U.; Gündel, H.; Rothermund, E. Group-Treatment for Dealing with the Work-Family Conflict for Healthcare Professionals. Int. J. Environ. Res. Public Health 2021, 18, 11728. https://doi.org/10.3390/ijerph182111728

AMA Style

Hander NR, Gulde M, Klein T, Mulfinger N, Jerg-Bretzke L, Ziegenhain U, Gündel H, Rothermund E. Group-Treatment for Dealing with the Work-Family Conflict for Healthcare Professionals. International Journal of Environmental Research and Public Health. 2021; 18(21):11728. https://doi.org/10.3390/ijerph182111728

Chicago/Turabian Style

Hander, Nicole Rosalinde, Manuela Gulde, Thomas Klein, Nadine Mulfinger, Lucia Jerg-Bretzke, Ute Ziegenhain, Harald Gündel, and Eva Rothermund. 2021. "Group-Treatment for Dealing with the Work-Family Conflict for Healthcare Professionals" International Journal of Environmental Research and Public Health 18, no. 21: 11728. https://doi.org/10.3390/ijerph182111728

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop