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Article

Social Health among German Nursing Home Residents with Dementia during the COVID-19 Pandemic, and the Role of Technology to Promote Social Participation

1
Institute for Public Health and Nursing Research, University of Bremen, 28359 Bremen, Germany
2
Leibniz Science Campus Digital Public Health, 28359 Bremen, Germany
3
SOCIUM Research Center on Inequality and Social Policy, University of Bremen, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(4), 1956; https://doi.org/10.3390/ijerph19041956
Submission received: 29 November 2021 / Revised: 2 February 2022 / Accepted: 7 February 2022 / Published: 10 February 2022
(This article belongs to the Special Issue Dementia Care in Times of COVID-19)

Abstract

:
The COVID-19 pandemic severely impacted the social health of nursing home residents with dementia due to social isolation. Consequently, the frequency of Behavioral and Psychological Symptoms in Dementia (BPSD) might increase. Technological solutions might help safeguard the social health of nursing home residents with dementia. This study investigates the impacts of the COVID-19 pandemic on clinical outcomes and the availability of social activities and technology to promote social participation in nursing home residents with dementia. The study analyzed cross-sectional data from a follow-up questionnaire nested in a larger national survey of care facilities in Germany. A mixed-methods approach integrated statistical analyses of closed-ended responses and thematic analysis of free-text responses. A total of 417 valid individual responses were received, showing an overall increase in observed BPSD—with anxiety and depression most frequently occurring. Many nursing homes canceled all social activities for residents with dementia, though a few had established procedures to facilitate social participation using technology. Requirements to promote social participation in this population using technology were identified at the micro-, meso-, and macro levels. Technology requirements permeated all three levels. During and beyond the COVID-19 pandemic, technology-driven solutions to promote social health among nursing home residents with dementia should be integrated into caregiving procedures.

1. Introduction

Since the World Health Organization declared COVID-19 a pandemic, country borders have been closed, and nationwide social distancing measurements have been implemented to curtail the spread of SARS-CoV-2 [1,2,3]. Among the vulnerable populations are people living with dementia (PLWD) due to aging, comorbidity and frailty [4,5,6,7,8]. This is especially true for PLWD in nursing homes, as their dependence on caregivers and healthcare providers reduces the opportunities for social distancing [1]. Nursing home staff are also exposed to a high risk of infection [9,10,11], not only due to the nature of their close-contact work but also the lack of availability of protective equipment and disinfectants during the first COVID-19 wave [12,13,14]. With this overhanging risk of infection, many nursing homes had to restrict visitation for family members and discontinue or reduce social activity offers for the residents [8,15,16,17].
Cognitive stimulation and social activities for PLWD are already limited in these settings, where research shows that nursing home residents spend as much as 65–85% of their time unoccupied, “doing nothing” [18,19,20,21]. Many nursing home residents with dementia are involved in few social activities in these facilities [18], having little interaction with others and spending time either alone watching television [22] or staying in bed for long periods [23]. This gives cause for concern, as participation in social activities–beyond routine primary and nursing care is an important indicator of the quality of life (QoL) in nursing homes [24]. Participation in social activities represents an essential building block of social health; a concept that emerged in the context of a debate on the definition of positive health [25,26]. Social health has been conceptualized as the influence of social and environmental resources in finding a balance between capacities and limitations, which relates to a person’s ability to adapt comfortably to different social situations [25]. The relevance of social health to dementia research has been promoted through the INTERDEM Social Health taskforce’s work in their spearheaded efforts in formulating directions for research and practice to promote social health in dementia caregiving [26,27]. Closely related to this, there is an increasing recognition of the importance of social participation for PLWD to meet their psychosocial needs and improve QoL [18,19,23,28,29].
However, psychosocial interventions might have been severely impeded by preventive measures against COVID-19 [2,8], increasing the social isolation of nursing home residents. A national pilot was recently conducted in a sample of Dutch nursing homes, where the existing visitation ban was lifted following national COVID-19 guidelines. Here, Verbeek et al. [17] found that the regained personal contact between nursing home residents and their relatives positively impacted residents’ well-being [17]. Conversely, this suggests that the increased isolation adversely affects the social health and well-being of nursing home residents [12], as evidence suggests that PLWD might exhibit problematic behavior as a response to unmet psychosocial needs [28,30,31,32]. This includes agitation, aggression, and depression, which are behavioral symptoms encompassed by the umbrella term “behavioral and psychological symptoms of dementia” (BPSD). For the purpose of this study, we utilize the BPSD definition proposed by Finkel and colleagues: “Signs and symptoms of disturbed perception, thought content, mood, or behavior that frequently occur in patients with dementia” [33] (p. 498). Long durations of unoccupied times and low levels of social participation have been found to contribute to worsening such behavior [8,23,30]. Although studies have shown that psychosocial interventions can be effective in decreasing BPSD [20,29,34,35,36], a large proportion of PLWD in nursing homes is treated with pharmacological therapy for behavioral problems [19,37,38]. However, psychotropic drugs demonstrate low effects on BPSD, with potentially substantial side effects [8,20]. Therefore, non-pharmacological interventions are recommended as first-line treatment for BPSD [34,37,38,39].
With limited social activities available and restricted visitation access for friends and families, technology is a promising non-pharmacological strategy to facilitate social participation for nursing home residents with dementia. To ensure social health for PLWD during the COVID-19 pandemic, according to recommendations from dementia association guidelines, technology has been emphasized as a viable way to improve mood and apathy and foster routines to treat anxiety among residents [8]. Furthermore, remote or simulated social interaction can allow residents to stay connected with friends and family, potentially reducing the feeling of isolation [2] and even decreasing agitation [40,41,42]. However, substantial barriers to such non-pharmacological strategies in nursing homes include the inability to provide infrastructure quickly, technology barriers, and sufficient staffing to support implementation [8,23]. In light of these challenges, this paper aims to assess the efforts put in place to safeguard the social health of German nursing home residents with dementia, as reported at the managerial level. The usage of technology to facilitate social participation among residents with dementia, and the prerequisites for doing so, were also explored. The following research questions guided the study:
  • Has there been an observable change in the clinical conditions of nursing home residents with dementia during the COVID-19 pandemic?
  • How did the COVID-19 pandemic impact the availability of social activities for nursing home residents with dementia?
  • How has technology played a role in ensuring social participation for nursing home residents?
  • What barriers and facilitators exist for people in need of care to use digital technologies for social participation?

2. Methods

2.1. Study Design

The present analysis is based on cross-sectional data from a follow-up questionnaire as part of a larger national online survey conducted in Germany during the second wave of the pandemic. The study reported here is part of a jointly designed study that includes outpatient and day center facilities, focusing on structural characteristics, the occurrence of SARS-CoV-2, and effects of the pandemic in terms of staffing, equipment and changed work processes and communication structures. These results are reported elsewhere [12,43]. The link to the follow-up survey was circulated via email among facility leaders and directors of nursing to an opportunity sample of 8187 German nursing homes throughout the country from 12 January to 7 February 2021. In addition, the survey was advertised through contacts of the study team to advocacy groups and provider associations. In advance, potential participants were provided with an information letter explaining the study and eligibility criteria. In the cover letter, employees from the management level (directors of nursing, managing directors, quality management officers and nursing staff acting as ward managers) were invited to participate in the survey. The questionnaire items were generated from internal project literature reviews and preliminary work by the study team, and the response time was approximately 20 min. The online survey was conducted using EFS Survey, Fall 2019 version (Questback GmbH, Köln, Germany, 2019).
The questionnaire items subjected to analysis for the aforementioned research questions contained closed questions (single or multiple choice) and open-ended questions (free-text format). In addition to the structural characteristics of the facilities and lab-confirmed cases of SARS-CoV-2, the survey included multiple sets of questions on the observed effects of the pandemic on nursing home residents with dementia, such as BPSD and increased use of pharmacological therapy. The question item inquiring about the occurrence of BPSD among residents with dementia provided a list of commonly occurring behaviors, including, but not limited to, depression, anxiety, apathy, hallucination, and wandering [8,33,44,45,46]. Efforts in maintaining social participation for nursing home residents with dementia were also inquired about, such as access to social activities, special visitation access and the establishment of procedures to utilize technology for social purposes. The amount of training provided for staff to implement and use technology in the facilities was also surveyed. Finally, participants also had the opportunity to make recommendations (in free-text) of requirements necessary to enable care recipients to use technology to promote social participation. A translated excerpt of the survey containing the question items subjected to analysis for the purpose of this study is available in the Supplementary Materials.

2.2. Data Processing and Evaluation

In a first step, participants were excluded who did not provide information on their care service/facility type (N = 360 respondents). The survey data of the remaining responses from nursing homes were included in the analysis. In the case of missing data, the facility was excluded from the evaluation for this item only. The evaluation was carried out descriptively using relative frequencies (of valid responses; N), mean values and chi-square independence tests (nominal significance level α = 0.05). An inductive thematic analysis approach was undertaken according to the thematic analysis guidelines described by Braun and Clarke [47] to analyze the free-text responses. As the online survey was conducted in German, results were initially compiled in German and then translated to English for publication. Primary translation was performed by the authors responsible for data collection and analysis and then validated by a third-party native speaker who had access to the German language results. Statistical analysis was performed using STATA version 12 software (StataCorp LP, College Station, TX, USA), while thematic analysis was performed using NVivo version 12 (QSR International Pty Ltd., Melbourne, Australia, 2020).

3. Results

3.1. Descriptive Statistics

A total number of 417 valid individual responses (around five percent of the invited facilities) were received, where most nursing home representatives worked in the nursing homes as facility managers (69.0%; N = 409) or directors of nursing (24.7%). The majority of facilities were non-profit (53.6%; N = 401) or private nursing homes (37.2%), while less than one in ten were public (9.2%). Of the respondents, 17.2% indicated that their facility had a special dementia care contract. The average number of healthcare professionals per facility was approximately 48, with an average client capacity of around 86 residents. Lab-confirmed COVID-19 cases among residents were reported by 212 (52.7%) of the surveyed nursing homes, with the average number of COVID-19 related deaths at around seven cases per facility since the outbreak (at the time of the survey), and 69.9% of the respondents reported lab-confirmed COVID-19 cases among their staff since the pandemic hit. In the following, results are reported in line with the research questions.

3.2. Clinical Conditions

There was an overall low increase in pharmacological therapy for nursing home residents with dementia, which was observed in less than six percent (5.6%; N = 344) of the facilities. Of the respondents, 87.5% had seen no increase, while the remaining valid responses were non-applicable. Summary statistics are listed in Table 1. However, when inquiring about observed BPSD among residents with dementia, a large proportion of the respondents saw an increase in at least one symptom, where depression (38.9%) and anxiety (38.6%) were most frequently reported. An increase in appetite loss (24.1%), aggression (16.9%) and wandering (16.9%) were also frequently observed among the survey respondents.

3.3. Social Activities for People Living with Dementia during COVID-19

More than a third (42.4%; N = 366) of the respondents reported that social activities for nursing home residents with dementia were canceled during the COVID-19 pandemic. In comparison, more than half of the survey facilities (56.0%) maintained their social activity schedule throughout the pandemic. A proportion of 14.8% (N = 284) of survey respondents reported that their nursing home granted special access for visitors of residents with dementia, while 85.2% did not. As Table 2 shows, no association was found between cancellation of social activities and nursing home structural characteristics, such as type of provider or whether the nursing home had a dementia care contract. Unsurprisingly, the cancellation rate of social activities for residents with dementia was correlated with whether the nursing homes had lab-confirmed COVID-19 cases among residents or staff. Staff shortages of more than 5.0% also showed a significant association with social activities for residents with dementia being canceled.

3.4. Promoting Social Participation for People Living with Dementia Using Technology

Less than seven percent (6.5%; N = 369) of German nursing homes had established procedures for using technology to promote social participation for PLWD. Nevertheless, when asked, “During the pandemic, did you create additional opportunities for care recipients with dementia to use digital technologies for social contact with friends, family or others?”, 72.8% (N = 349) reported on having done so, and 15.8% responded “No.” The remaining 8.3% planned to incorporate such procedures.
As depicted in Figure 1, when inquiring about which digital device was being used to facilitate social participation for residents with dementia, there was an apparent preference for digital music therapy. The cumulative percentage (combined usage before and during COVID-19) was 81.3% (N = 348); however, 71.3% of the respondents already used digital music therapy before the outbreak. The same was true for mobile applications (41.7%; N = 333) and video games (30.7%; N = 329), which saw a modest increase during the pandemic (9.9% and 4.3%, respectively). The largest increase was seen, as expected, in the usage of videoconference tools. While 19.2% (N = 343) of respondents already used videoconferences to facilitate social participation for residents with dementia before the COVID-19 pandemic, 52.8% indicated that they first started after the outbreak. More novel technologies, such as social robots and VR technologies, had a low uptake both before and during the COVID-19 pandemic, accumulating to less than four percent of the total number of respondents.
The vast majority of respondents (50.7%; N = 353) had received no training in using technology to promote social participation among their care recipients. Cumulatively, around 39.1% had received at least some training. Of these, 31.7% received less than two hours, while 6% received up to four hours of training. Such training was planned in 4.8% of the facilities included in this survey.

3.5. Qualitative Findings

All free-text comments were subjected to inductive thematic statement analysis, identifying requirements at the micro, meso and macro level. These will be outlined in sequence below. At the micro-level, requirements related to care recipients were identified, while organizational requirements were identified at the meso level. At the macro level, requirements were related to policy and legislation. Finally, technology requirements will also be discussed, as prerequisites relating to the technology itself were identified across all three levels.

3.5.1. Micro-Level: Care Recipient

Within the micro-level, three subthemes emerged; (i) user capabilities; (ii) user willingness; and (iii) family support. Comments related to user capabilities expressed the concern of not only the cognitive capabilities of the PWLD as users, but also their advanced age. In order to benefit from technology to promote social participation, respondents expressed that individuals need to have adequate experience and skills with technology. The inherent problem of older adults’ lower technology usage compared to the younger generations was expressed frequently. The respondents were generally pessimistic about elderly PLWD being able to utilize technology independently.
“On average, they should be 30 years younger and open to digital technologies. They will be in 30 years.”
(id_401)
Closely related to user capabilities is user willingness, as the respondents felt that beneficial outcomes through the usage of technology are also related to the willingness of the care recipient. Respondents emphasized openness and interest among care recipients to try novel technology. However, they concurrently expressed concern about many of their clients being quickly overwhelmed when operating technological devices.
“They should have the ability to handle it. The currently cared-for seniors have not learned how to deal with today’s technologies, and most of them are not even willing to learn how to use them—they feel overwhelmed. It is still an absolute minority that uses digital technologies. Only the next generation of seniors will use digital technology because they are already using it today.”
(id_1182)
In order to mitigate lacking capabilities or feelings of being overwhelmed, the presence of relatives that can support the care recipient is crucial from the respondents’ perspective. Family members are needed to actively participate with their relatives with healthcare needs in acquiring, getting familiar with, and using technology to help them stay connected. This implies that relatives also have the willingness and capabilities to support their loved ones in using such technology; two conditions requiring awareness of “what is out there” and potential benefits of use.
“For people with dementia who live alone in their homes, I’m rather skeptical about such digital technologies because they have a view of the world that lies in the past. So, it would shake their worldview and also their self-image because it simply doesn’t fit into their world. Such technologies would only make sense if they were used together with caregivers.”
(id_482)

3.5.2. Meso-Level: Organizational Requirements

At the meso level, the organizational requirements could be divided into three parts: (i) technical support; (ii) training; and (iii) sufficient resources. When implementing novel technology, the need for someone that could be physically present to install and set up the system was emphasized. During the implementation phase, users of the technology, including care recipients, family members, and professional providers, need to receive appropriate instructions and support to avoid being overwhelmed and discouraged from engaging with the technology. However, technical support was expressed by respondents to be important not only during the implementation phase but also to be available continuously. Contact personnel exclusively handling technical issues was seen as a vital source of support that needs to be available to healthcare providers and care recipients and their family members.
“Contact persons and people in charge who accompany the organization, administration and implementation, since nursing staff have too little time and knowledge of possible technologies and their application. For many clients, staff must be present during the entire period of use to provide support, which everyday life does not allow.”
(id_337)
Goal-specific training and education were expressed as essential among many of the respondents. The need for training was voiced for service recipients, their family members, staff in healthcare organizations. This training needs to be tailored to the individuals’ needs to enable the independent use of technology and reduce the fear and anxiety that might arise when faced with new technology. This was especially important when training care recipients and their relatives. For healthcare providers, up-to-date education in technological solutions was described as an essential part of raising awareness of possible technological solutions and pedagogical training to support technology implementation.
“Education (to take away the anxiety), instruction and accompaniment until the technology can either be safely operated by the user or an everyday helper who can provide support.”
(id_1148)
The two statements above reflect the third requirement at the meso level, namely, sufficient resources. This requirement explicitly involved time and staff. As implementing new procedures and operating novel technology requires time, additional staffing was considered a key aspect. Whether this requirement was expressed as additional personnel for the familiarization process or trained staff specifically for operating the technology, the technology implementation requires more human resources. Furthermore, several collected comments expressed frustration over the inadequate time available to incorporate technology to effectively benefit providers and care recipients.
“It would be great to have at least one additional job position in each nursing service/nursing home, financed through the nursing tariffs. This position should be specifically responsible for digital technologies and be able to train customers and employees. Overall, the introduction of the technologies would have to be supported more. We don’t get it done here because there is too little time left for it.”
(id_195)

3.5.3. Macro-Level: Policy and Legislation

At the macro level, the main requirements identified were related to (i) cost coverage; and (ii) network infrastructure. The issue of cost coverage was a recurring theme, where respondents urged for acquisition costs for hardware, software and internet connection to be covered. A consensus was shared among the survey participants that care recipients or service providers should not incur acquisition costs. Rather, technology promoting social health for people in need of care should be recognized as assistive technology and thereby be covered by the health insurer.
“Secure communication channels, adequately fast and cheap internet, adequate equipment, possibly free Wi-Fi should be considered, additional rights to tablets for seniors with basic income support or welfare benefits.”
(id_379)
A more permeating prerequisite that the respondents brought up was the issue of the network infrastructure. Many respondents expressed their frustration over the low internet broadband coverage, which hinders practical technology use, not only among care recipients but also among the healthcare providers. This issue was especially emphasized in rural communities, where some even struggled with proper cell phone reception.
“Low-cost devices or cost support from health or long-term care insurers. Telecommunications providers must expand their offerings to explain and install this technology on-site. This responsibility must not be shifted to care employees.”
(id_1246)

3.5.4. Technology Requirements

The final requirement, reaching across all three levels, is found with the technology itself. These requirements were predominantly related to (i) availability; and (ii) user-friendliness. The requirement mentioned above at the macro-level, related to network infrastructure, will not be outlined again but serves to demonstrate the permeating requirements that technology has across all levels.
Within availability, respondents emphasized the need for available hardware, software and internet. In order to be able to connect with family, friends and healthcare providers, care recipients first need the required devices, with the appropriate software installed so that they are ready to use. Respondents emphasized that devices, such as touchscreen tablets, could improve the home environment and help stay in touch with healthcare providers. This necessitates proper internet connection opportunities within every household, a condition emphasized by respondents as frequently as required hardware. Many households in Germany, especially older adults, have analog telephone connections without internet, complicating the prospects of utilizing digital devices to connect beyond telephoning. As mentioned above, these connectivity issues concern private households and healthcare providers, especially in rural areas. Within this requirement, challenges with slow and unstable internet were often mentioned, severely hindering opportunities for care recipients and providers to develop towards a more technology-friendly healthcare provision.
Technology-friendly healthcare provision postulates user-friendly technology. Respondents urged for technology with simple usability and self-explanatory functions. For the technology to be appropriate for older adults, focused efforts need to be put into the design in terms of a large display and few buttons, possibly even offering a voice assistant function. This was especially emphasized among respondents caring for individuals with physical limitations. For individuals with cognitive impairments, conditions, such as limited application possibilities, were suggested to achieve simplicity of operation and favor visibility.
“The technology must be available on site (Wi-Fi, laptop, camera, etc.), […], physical limitations must be taken into account (paralysis, etc.), the monitor must be large, and all buttons must be large and clearly arranged, possibly a voice assistant.”
(id_1093)

4. Discussion

This paper aimed to describe the impact of the COVID-19 pandemic on PLWD in German nursing homes in terms of clinical outcomes, the availability of social activities, and the possibilities of using technology to enable social participation. Nearly 8200 German nursing homes were invited by email to provide information about the structural characteristics of their institution, the number of lab-confirmed COVID-19 cases in their nursing home, and the effect of the pandemic on clinical outcomes, such as BPSD and medication usage among their residents with dementia. Despite the high overall observed increase of BPSD, only 5.8% of the survey respondents saw an increase in the usage of pharmacological therapy for residents with dementia. The high occurrence of BPSD might be explained by the fact that nursing homes tend to care for residents with more severe stages of dementia [48,49,50], which research indicates is positively correlated with BPSD [44,45,51].
Another plausible explanation is the relatively high cancellation rate of social activities for care recipients (42.4%). Only 14.8% of the respondents reported procedures granting special access for visitors of residents with dementia in nursing homes. This is consistent with research showing a higher occurrence of BPSD in settings with low levels of social engagement and long durations of unoccupied time [8,23,30]. These restricted opportunities for social participation and increased social isolation might have contributed to the increased frequency of depression (38.9%), anxiety (38.6%) and appetite loss (24.1%).
A low proportion of survey respondents (6.5%) indicated that their facility had established procedures for using technology to promote social participation among PLWD. The majority of facilities did not have organized staff training to use technology to facilitate social participation among their residents. Six percent of all respondents had undergone half a day of training in using social technology, while barely one percent had undergone a whole day’s worth of training. Training of staff has been identified as a crucial prerequisite to the successful implementation of technology in long-term care facilities [52,53,54], which was echoed in the free-text comments made by the respondents.
Nevertheless, 72.8% had provided opportunities for residents with dementia to use digital communication technologies for social contact. In addition, a relatively high proportion had facilitated social participation for their residents with dementia using digital tools, such as music, videoconference tools and mobile applications. The long-term care setting might have enabled the high usage of technology for social purposes, as the nature of the care arrangements allows for consistent support and follow-up. The low number of respondents reporting increased use of pharmacological therapy might partially be attributed to the high uptake of technology-driven, non-pharmacological strategies to socially engage residents with dementia during COVID-19. However, due to the limitations of the data, this should only be considered as cautious speculation. Future research is warranted on the correlation between pharmacological therapies and psychosocial strategies for PWLD in nursing homes.
Some substantial barriers were identified in the qualitative component of this survey. The demands identified at the micro-, meso- and macro-level predominantly encompassed unmet prerequisites, posing considerable barriers. The requirements at the micro-level were directed at the care recipient in terms of user capabilities, user willingness, and family support. This finding is congruent with other studies looking into barriers and facilitators incorporating social technology in dementia caregiving [53,55,56]. The responses mostly expressed skepticism and had a pessimistic view on the likelihood of this generation’s older adults being able or willing to engage with technology to remain socially active when meeting in person is difficult. Without the availability of younger, cognitively healthy family members to support technology usage, respondents expressed that care recipients would too easily be overwhelmed or confused, thus impeding the potential benefits that such technology might provide. However, research indicates that the significantly lower adoption of new technology among older adults compared to younger generations [57] is not necessarily grounded in technology aversion [58], but rather the lack of sufficient support in doing so [55]. This truly highlights the importance of user-friendly technology adapted to individuals’ needs, one of the identified technology requirements.
Recommendations made by respondents also highlight the importance of sufficient resources at the meso-level. Not only in terms of time and staffing resources but also in resources to provide sufficient training and tech support. The outlined organizational requirements are essential to accommodate healthcare providers to mitigate some of the barriers outlined at the micro-level. Closely related to sufficient resources at the organizational level is cost coverage, identified as a part of the policy requirements at the macro-level. Sufficient resources require funding, implying the need for a digitalization strategy that recognizes the benefits of technology that promotes social health for care recipients. Similar shortcomings related to cost coverage of technological solutions have already been reported during the COVID-19 pandemic [59]. This also relates to the technology requirement of availability, especially in rural areas. The inadequate broadband infrastructure in Germany is a well-known and highly debated problem. Despite a high population density with more than 80 million citizens, Germany has been found to be way behind in broadband infrastructure [60]. Without the basic broadband coverage to reach homes and institutions, all other requirements are trivial. The basic condition that needs to be met to allow users to stay connected requires the German network infrastructure to be expanded, with fiber optic cables, on a massive scale.

Limitations

The results reported above are based on an opportunity sample of 417 nursing homes from all federal states, representing about 3.7% of Germany’s approximately 11,300 full inpatient nursing homes [61]. Although a comparison of the sample with national averages concerning structural characteristics indicates no structural bias, self-selection and a corresponding bias cannot be ruled out. One major limitation in this study is that information is mainly collected from facility managers and directors of nursing of German nursing homes and their reported observations of their residents with dementia. Without patient-specific characteristics, such as gender, age, cognitive abilities and comorbidities, statistical analyses of correlations between residents’ clinical outcomes and other variables cannot be conducted. As this study is of an explorative, descriptive nature, further research, including data on patient characteristics and nursing outcomes, is needed. Furthermore, the survey did not contain question items about the preferences of residents in using any of the digital devices in social activities, something which might limit a deeper and nuanced understanding of the contextual factors influencing the opportunities to use technology for social purposes. Despite evidence to suggest that technology can foster social health in PLWD by facilitating social participation and alleviating isolation [62,63,64], more research is warranted to assess the usability and acceptance of technology among nursing home residents with dementia. Another limitation to consider is that the aspects concerning the social health of PLWD specifically (and the role of technology in doing so) stem from survey items that were only included in the follow-up study of the impact of COVID-19 on German nursing facilities. This resulted in fewer responses involving these aspects, making the description less nuanced. The retrospective nature of the questions included in this survey may have led to recollection bias among the respondents regarding the observed increase of BPSD and pharmacological treatment. Results should therefore be interpreted with caution. Finally, the results presented here are time-sensitive; thus, shifts may have already occurred in the period since the survey.

5. Conclusions

During and beyond the COVID-19 pandemic, non-pharmacological treatments, such as technology-driven solutions to promote social health among nursing home residents with or without dementia, should be an integrated part of caregiving procedures. The high increase in depression and anxiety among PLWD observed during the pandemic might be an indication of unmet psychosocial needs caused by the high frequency of discontinued social activities for residents with dementia. Participation in meaningful activities is an integral part of social health, meaning that the abrupt suspension of social activities for persons in need of care, with or without dementia, can significantly impact clinical outcomes for this population. Considering what we know of the adverse consequences of social isolation, keeping non-pharmacological options available, such as psychosocial interventions, is imminent in disruptive events such as a viral outbreak. As found in our study, a staff shortage of only five percent (and higher) was significantly correlated with social activities for residents with dementia being canceled, revealing how easily neglectable social health interventions/strategies for nursing home residents are. Although more than 70% of the respondents reported having provided opportunities for residents with dementia to use technology for social purposes, the low frequency of established procedures seems to indicate the implementation of ad hoc solutions to safeguard the social health of residents with dementia. These findings imply that technology should be incorporated as standard offers to maintain social participation among persons in need of care with or without dementia. This does not imply that technology should be implemented only due to the lack of such, but in a person-centered manner, guided by residents’ preferences. This, in turn, demands established guidelines and ongoing training of staff. However, developing and implementing technology to promote social participation faces substantial barriers as long as social health is not recognized on equal terms as the physical and mental health domains. Acknowledging social health as a priority before we can implement technological solutions to promote this health domain requires spearheaded efforts at the societal-, organizational- and individual levels.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19041956/s1, S1: Questionnaire Excerpt.

Author Contributions

Conceptualization, V.H., K.S., D.D., F.H., B.P., K.W.-O. and H.R.; methodology, V.H., K.S., D.D., F.H., B.P., K.W.-O. and H.R.; software, D.D. and K.S.; formal analysis, V.H.; investigation, V.H.; writing—original draft preparation, V.H. and K.W.-O.; writing—review and editing, V.H., K.W.-O., K.S., B.P., D.D., F.H., H.R.; visualization, V.H.; supervision, K.W.-O. and H.R.; project administration, KW-O. and H.R. All authors have read and agreed to the published version of the manuscript.

Funding

The research presented in this paper was carried out as part of the Marie Curie Innovative Training Network (ITN) action, H2020-MSCA-ITN-2018, under grant agreement number 813196.

Institutional Review Board Statement

A data protection concept was coordinated with the data protection officer of the University of Bremen. All participants had to agree to the data protection statement and consent to participate in the study. No personal data assignable to individual vulnerable persons or residents were conducted.

Informed Consent Statement

Potential participants were provided in advance with an information letter explaining the study and an explanation of data protection. Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are not publicly available due to privacy regulations. A translated excerpt of the survey containing the question items subjected to analysis for the purpose of this study is available as Supplementary Materials.

Acknowledgments

The research team would like to thank the participants who generously shared their time and experiences in answering this national survey, providing us with more insights into the impact of COVID-19 on the social health of care recipients with dementia.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Brown, E.E.; Kumar, S.; Rajji, T.K.; Pollock, B.G.; Mulsant, B.H. Anticipating and mitigating the impact of the COVID-19 pandemic on Alzheimer’s disease and related dementias. Am. J. Geriatr. Psychiatry 2020, 28, 712–721. [Google Scholar] [CrossRef] [PubMed]
  2. Canevelli, M.; Bruno, G.; Cesari, M. Providing Simultaneous COVID-19-sensitive and Dementia-Sensitive Care as We Transition from Crisis Care to Ongoing Care. J. Am. Med. Dir. Assoc. 2020, 21, 968–969. [Google Scholar] [CrossRef] [PubMed]
  3. Devita, M.; Bordignon, A.; Sergi, G.; Coin, A. The psychological and cognitive impact of COVID-19 on individuals with neurocognitive impairments: Research topics and remote intervention proposals. Aging Clin. Exp. Res. 2021, 33, 733–736. [Google Scholar] [CrossRef] [PubMed]
  4. Azarpazhooh, M.R.; Amiri, A.; Morovatdar, N.; Steinwender, S.; Rezaei Ardani, A.; Yassi, N.; Biller, J.; Stranges, S.; Tokazebani Belasi, M.; Neya, S.K.; et al. Correlations between COVID-19 and burden of dementia: An ecological study and review of literature. J. Neurol. Sci. 2020, 416, 117013. [Google Scholar] [CrossRef]
  5. Lim, F.S.; Wallace, T.; Luszcz, M.A.; Reynolds, K.J. Usability of Tablet Computers by People with Early-Stage Dementia. Gerontology 2013, 59, 174–182. [Google Scholar] [CrossRef]
  6. Wang, H.; Li, T.; Barbarino, P.; Gauthier, S.; Brodaty, H.; Molinuevo, J.L.; Xie, H.; Sun, Y.; Yu, E.; Tang, Y.; et al. Dementia care during COVID-19. Lancet 2020, 395, 1190–1191. [Google Scholar] [CrossRef]
  7. Alzheimer’s Disease International. World Alzheimer Report 2009; Alzheimer’s Disease International: London, UK, 2009. [Google Scholar]
  8. Simonetti, A.; Pais, C.; Jones, M.; Cipriani, M.C.; Janiri, D.; Monti, L.; Landi, F.; Bernabei, R.; Liperoti, R.; Sani, G. Neuropsychiatric Symptoms in Elderly With Dementia During COVID-19 Pandemic: Definition, Treatment, and Future Directions. Front. Psychiatry 2020, 11, 579842. [Google Scholar] [CrossRef]
  9. Yen, M.Y.; Schwartz, J.; King, C.C.; Lee, C.M.; Hsueh, P.R. Recommendations for protecting against and mitigating the COVID-19 pandemic in long-term care facilities. J. Microbiol. Immunol. Infect. 2020, 53, 447–453. [Google Scholar] [CrossRef]
  10. D’Adamo, H.; Yoshikawa, T.; Ouslander, J.G. Coronavirus Disease 2019 in Geriatrics and Long-Term Care: The ABCDs of COVID-19. J. Am. Geriatr. Soc. 2020, 68, 912–917. [Google Scholar] [CrossRef]
  11. Drupp, M.; Meyer, M.; Winter, W. Betriebliches Gesundheitsmanagement (BGM) für Pflegeeinrichtungen und Krankenhäuser unter Pandemiebedingungen. In Pflege-Report 2021; Springer: Berlin/Heidelberg, Germany, 2021; pp. 71–89. [Google Scholar]
  12. Wolf-Ostermann, K.; Schmidt, A.; Preuß, B.; Heinze, F.; Seibert, K.; Friedrich, A.C.; Domhoff, D.; Stolle, C.; Rothgang, H. Care in times of Corona: Results of a cross-sectional study in German home care services. Pflege 2020, 33, 277–288. [Google Scholar] [CrossRef]
  13. Bianchetti, A.; Bellelli, G.; Guerini, F.; Marengoni, A.; Padovani, A.; Rozzini, R.; Trabucchi, M. Improving the care of older patients during the COVID-19 pandemic. Aging Clin. Exp. Res. 2020, 32, 1883–1888. [Google Scholar] [CrossRef]
  14. Ouslander, J.G.; Grabowski, D.C. COVID-19 in Nursing Homes: Calming the Perfect Storm. J. Am. Geriatr. Soc. 2020, 68, 2153–2162. [Google Scholar] [CrossRef]
  15. Padala, S.P.; Jendro, A.M.; Orr, L.C. Facetime to reduce behavioral problems in a nursing home resident with Alzheimer’s dementia during COVID-19. Psychiatry Res. 2020, 288, 113028. [Google Scholar] [CrossRef]
  16. Velayudhan, L.; Aarsland, D.; Ballard, C. Mental health of people living with dementia in care homes during COVID-19 pandemic. Int. Psychogeriatr. 2020, 32, 1253–1254. [Google Scholar] [CrossRef]
  17. Verbeek, H.; Gerritsen, D.L.; Backhaus, R.; de Boer, B.S.; Koopmans, R.T.C.M.; Hamers, J.P.H. Allowing Visitors Back in the Nursing Home During the COVID-19 Crisis: A Dutch National Study Into First Experiences and Impact on Well-Being. J. Am. Med. Dir. Assoc. 2020, 21, 900–904. [Google Scholar] [CrossRef]
  18. Tak, S.H.; Beck, C.; Hong, S.H. Feasibility of providing computer activities for nursing home residents with dementia. Non-Pharmacol. Ther. Dement. 2013, 3, 1–10. [Google Scholar]
  19. Kolanowski, A.; Litaker, M. Social interaction, premorbid personality, and agitation in nursing home residents with dementia. Arch. Psychiatr. Nurs. 2006, 20, 12–20. [Google Scholar] [CrossRef]
  20. Cohen-Mansfield, J.; Marx, M.S.; Dakheel-Ali, M.; Regier, N.G.; Thein, K.; Freedman, L. Can Agitated Behavior of Nursing Home Residents with Dementia Be Prevented with the Use of Standardized Stimuli? J. Am. Geriatr. Soc. 2010, 58, 1459–1464. [Google Scholar] [CrossRef]
  21. Harper Ice, G. Daily life in a nursing home: Has it changed in 25 years? J. Aging Stud. 2002, 16, 345–359. [Google Scholar] [CrossRef]
  22. Centers for Medicare Medicaid Services. MDS Active Resident Information Report: Third Quarter 2010. Available online: https://www.cms.gov (accessed on 23 August 2021).
  23. Kang, H. Correlates of social engagement in nursing home residents with dementia. Asian Nurs. Res. 2012, 6, 75–81. [Google Scholar] [CrossRef] [Green Version]
  24. Tak, S.H.; Kedia, S.; Tongumpun, T.M.; Hong, S.H. Activity engagement: Perspectives from nursing home residents with dementia. Educ. Gerontol. 2015, 41, 182–192. [Google Scholar] [CrossRef]
  25. Huber, M.; Knottnerus, J.A.; Green, L.; van der Horst, H.; Jadad, A.R.; Kromhout, D.; Leonard, B.; Lorig, K.; Loureiro, M.I.; van der Meer, J.W.M.; et al. How should we define health? BMJ 2011, 343, d4163. [Google Scholar] [CrossRef] [Green Version]
  26. Dröes, R.M.; Chattat, R.; Diaz, A.; Gove, D.; Graff, M.; Murphy, K.; Verbeek, H.; Vernooij-Dassen, M.; Clare, L.; Johannessen, A.; et al. Social health and dementia: A European consensus on the operationalization of the concept and directions for research and practice. Aging Ment. Health 2017, 21, 4–17. [Google Scholar] [CrossRef]
  27. de Vugt, M.; Dröes, R.-M. Social health in dementia. Towards a positive dementia discourse. Aging Ment. Health 2017, 21, 1–3. [Google Scholar] [CrossRef] [Green Version]
  28. Cohen-Mansfield, J. The impact of group activities and their content on persons with dementia attending them. Alzheimers Res. Ther. 2018, 10, 37. [Google Scholar] [CrossRef]
  29. Vernooij-Dassen, M.; Vasse, E.; Zuidema, S.; Cohen-Mansfield, J.; Moyle, W. Psychosocial interventions in dementia care in long term care. Int. Psychogeriatr. 2010, 22, 1121–1128. [Google Scholar] [CrossRef] [Green Version]
  30. Orsulic-Jeras, S.; Judge, K.S.; Camp, C.J. Montessori-based activities for long-term care residents with advanced dementia: Effects on engagement and affect. Gerontologist 2000, 40, 107–111. [Google Scholar] [PubMed]
  31. Kitwood, T.M. Dementia Reconsidered: The Person Comes First; Open University Press: Buckingham, UK; Philadelphia, PA, USA, 1997. [Google Scholar]
  32. Van Haitsma, K.S.; Curyto, K.; Abbott, K.M.; Towsley, G.L.; Spector, A.; Kleban, M. A randomized controlled trial for an individualized positive psychosocial intervention for the affective and behavioral symptoms of dementia in nursing home residents. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 2015, 70, 35–45. [Google Scholar] [CrossRef]
  33. Finkel, S.I.; e Silva, J.C.; Cohen, G.; Miller, S.; Sartorius, N. Behavioral and psychological signs and symptoms of dementia: A consensus statement on current knowledge and implications for research and treatment. Int. Psychogeriatr. 1996, 8, 497–500. [Google Scholar] [CrossRef]
  34. Kolanowski, A.; Litaker, M.; Buettner, L.; Moeller, J.; Costa, J.; Paul, T. A randomized clinical trial of theory-based activities for the behavioral symptoms of dementia in nursing home residents. J. Am. Geriatr. Soc. 2011, 59, 1032–1041. [Google Scholar] [CrossRef]
  35. Jøranson, N.; Pedersen, I.; Rokstad, A.M.M.; Ihlebæk, C. Effects on Symptoms of Agitation and Depression in Persons With Dementia Participating in Robot-Assisted Activity: A Cluster-Randomized Controlled Trial. J. Am. Med. Dir. Assoc. 2015, 16, 867–873. [Google Scholar] [CrossRef] [PubMed]
  36. Moyle, W.; Bramble, M.; Jones, C.J.; Murfield, J.E. “She had a smile on her face as wide as the Great Australian Bite”: A qualitative examination of family perceptions of a therapeutic robot and a plush toy. Spec. Issue Technol. Aging Evolv. Partnersh. 2019, 59, 177–185. [Google Scholar] [CrossRef] [PubMed]
  37. Fossey, J.; Ballard, C.; Juszczak, E.; James, I.; Alder, N.; Jacoby, R.; Howard, R. Effect of enhanced psychosocial care on antipsychotic use in nursing home residents with severe dementia: Cluster randomised trial. BMJ 2006, 332, 756–761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Ballard, C.; Corbett, A. Agitation and aggression in people with Alzheimer’s disease. Curr. Opin. Psychiatry 2013, 26, 252–259. [Google Scholar] [CrossRef]
  39. Beerens, H.C.; de Boer, B.; Zwakhalen, S.M.G.; Tan, F.E.S.; Ruwaard, D.; Hamers, J.P.H.; Verbeek, H. The association between aspects of daily life and quality of life of people with dementia living in long-term care facilities: A momentary assessment study. Int. Psychogeriatr. 2016, 28, 1323. [Google Scholar] [CrossRef]
  40. Garland, K.; Beer, E.; Eppingstall, B.; O’Connor, D.W. A comparison of two treatments of agitated behavior in nursing home residents with dementia: Simulated family presence and preferred music. Am. J. Geriatr. Psychiatry 2007, 15, 514–521. [Google Scholar] [CrossRef]
  41. Werner, P.; Cohen-Mansfield, J.; Fisher, J.; Segal, G. Characterization and effectivenes of family-generated videotape for the management of VDB. J. Appl. Gerontol. 2000, 19, 42–57. [Google Scholar] [CrossRef]
  42. Camberg, L.; Woods, P.; Ooi, W.L.; Hurley, A.; Volicer, L.; Ashley, J.; Odenheimer, G.; McIntyre, K. Evaluation of Simulated Presence: A personalized approach to enhance well-being in persons with Alzheimer’s disease. J. Am. Geriatr. Soc. 1999, 47, 446–452. [Google Scholar] [CrossRef]
  43. Rothgang, H.; Domhoff, D.; Friedrich, A.-C.; Heinze, F.; Preuß, B.; Schmidt, A.; Seibert, K.; Stolle, C.; Wolf-Ostermann, K. Pflege in Zeiten von Corona: Zentrale Ergebnisse einer deutschlandweiten Querschnitts befragung vollstationärer Pflegeheime Long-term care during the Corona pandemic -Main results from a nationwide online survey in nursing homes in Germany Einleitung. Pflege 2020, 33, 265–275. [Google Scholar] [CrossRef]
  44. Cerejeira, J.; Lagarto, L.; Mukaetova-Ladinska, E. Behavioral and Psychological Symptoms of Dementia. Front. Neurol. 2012, 3, 73. [Google Scholar] [CrossRef] [Green Version]
  45. Dinand, C.; Halek, M. 2 Challenges in interacting with people with dementia. In Aging between Participation and Simulation; De Gruyter: Berlin, Germany, 2020; pp. 13–34. [Google Scholar]
  46. Cloak, N.; Al Khalili, Y. Behavioral and Psychological Symptoms in Dementia; StatPearls Publishing: Treasure Island, FL, USA, 2019. [Google Scholar]
  47. Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
  48. Gaugler, J.E.; Duval, S.; Anderson, K.A.; Kane, R.L. Predicting nursing home admission in the US: A meta-analysis. BMC Geriatr. 2007, 7, 13. [Google Scholar] [CrossRef] [Green Version]
  49. Hébert, R.; Dubois, M.-F.; Wolfson, C.; Chambers, L.; Cohen, C. Factors associated with long-term institutionalization of older people with dementia: Data from the Canadian Study of Health and Aging. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2001, 56, M693–M699. [Google Scholar] [CrossRef]
  50. Gaugler, E.J.; Yu, F.F.; Krichbaum, F.K.; Wyman, F.J. Predictors of Nursing Home Admission for Persons with Dementia. Med. Care 2009, 47, 191–198. [Google Scholar] [CrossRef]
  51. Cohen-Mansfield, J.; Marx, M.S.; Rosenthal, A.S. A description of agitation in a nursing home. J. Gerontol. 1989, 44, M77–M84. [Google Scholar] [CrossRef]
  52. Moyle, W.; Jones, C.; Cooke, M.; O’Dwyer, S.; Sung, B.; Drummond, S. Connecting the person with dementia and family: A feasibility study of a telepresence robot. BMC Geriatr. 2014, 14, 7. [Google Scholar] [CrossRef] [Green Version]
  53. Koh, W.Q.; Felding, S.; Budak, B.; Toomey, E.; Casey, D. Barriers and facilitators to the implementation of social robots for older adults and people with dementia: A scoping review. BMC Geriatr. 2021, 21, 351. [Google Scholar] [CrossRef]
  54. Ko, M.; Wagner, L.; Spetz, J. Nursing Home Implementation of Health Information Technology: Review of the Literature Finds Inadequate Investment in Preparation, Infrastructure, and Training. Inquiry 2018, 55, 0046958018778902. [Google Scholar] [CrossRef]
  55. Hoel, V.; Wolf-Ostermann, K.; Ambugo, E.A. Social isolation and the use of technology in caregiving dyads living with dementia during COVID-19 restrictions. Front. Public Health 2022, 10, 697496. [Google Scholar] [CrossRef]
  56. Neal, D.; van den Berg, F.; Planting, C.; Ettema, T.; Dijkstra, K.; Finnema, E.; Dröes, R.-M. Can Use of Digital Technologies by People with Dementia Improve Self-Management and Social Participation? A Systematic Review of Effect Studies. J. Clin. Med. 2021, 10, 604. [Google Scholar] [CrossRef]
  57. Feist, H.; Parker, K.; Howard, N.; Hugo, G. New technologies: Their potential role in linking rural older people to community. Ijets 2010, 8, 68–84. [Google Scholar]
  58. Giuliani, M.V.; Scopelliti, M.; Fornara, F. Elderly people at home: Technological help in everyday activities. In Proceedings of the ROMAN 2005 IEEE International Workshop on Robot and Human Interactive Communication, Nashville, TN, USA, 13–15 August 2005; pp. 365–370. [Google Scholar]
  59. Hoel, V.; von Zweck, C.; Ledgerd, R. Was a global pandemic needed to adopt the use of telehealth in occupational therapy? Work 2020, 68, 13–20. [Google Scholar] [CrossRef]
  60. Kersting, N. Digitalization and Political Science in Germany. In Political Science and Digitalization–Global Perspectives, 1st ed.; Kneuer, M., Milner, H.V., Eds.; Verlag Barbara Budrich: Leverkusen, Germany, 2019; pp. 146–162. [Google Scholar] [CrossRef]
  61. Statistisches Bundesamt. Pflegestatistik, Pflege im Rahmen der Pflegeversicherung Deutschlandergebnisse. 2019. Available online: https://www.destatis.de/DE/Themen/Gesellschaft-Umwelt/Gesundheit/Pflege/Publikationen/Downloads-Pflege/laender-pflegeheime-5224102199004.pdf?__blob=publicationFile (accessed on 20 November 2021).
  62. Budak, K.B.; Atefi, G.; Hoel, V.; Laporte Uribe, F.; Meiland, F.; Teupen, S.; Felding, S.A.; Roes, M. Can technology impact loneliness in dementia? A scoping review on the role of assistive technologies in delivering psychosocial interventions in long-term care. Disabil. Rehabilit. Assist. Technol. 2021, 1–13. [Google Scholar] [CrossRef]
  63. Pinto-Bruno, A.C.; Garcia-Casal, J.A.; Csipke, E.; Jenaro-Rio, C.; Franco-Martin, M. ICT-based applications to improve social health and social participation in older adults with dementia. A systematic literature review. Aging Ment. Health 2017, 21, 58–65. [Google Scholar] [CrossRef] [Green Version]
  64. Neal, I.; du Toit, S.H.J.; Lovarini, M. The use of technology to promote meaningful engagement for adults with dementia in residential aged care: A scoping review. Int. Psychogeriatr. 2020, 32, 913–935. [Google Scholar] [CrossRef]
Figure 1. Utilization of digital devices to facilitate social participation for residents with dementia. Outlined are the relative frequencies of responses received per category. The pre-outbreak category includes the usage of post-outbreak (“Technology in use, even before the outbreak”).
Figure 1. Utilization of digital devices to facilitate social participation for residents with dementia. Outlined are the relative frequencies of responses received per category. The pre-outbreak category includes the usage of post-outbreak (“Technology in use, even before the outbreak”).
Ijerph 19 01956 g001
Table 1. Summary of findings according to facility type.
Table 1. Summary of findings according to facility type.
Variables (N a)N b (SD)% c
Sector (N = 401)
Public379.2
Private14937.2
Non-Profit21553.6
Special dementia care contract (N = 407)7017.2
Average no. of healthcare staff per facility (SD) (N = 366)48.3 (26.5)-
Average client capacity per facility (SD) (N = 404)86.3 (41.2)-
Confirmed COVID-19 cases among residents ( x - d) (N = 402)212 (21)52.7
Confirmed COVID-19 cases among staff ( x - ) (N = 402)281 (11)69.9
Average no. of deaths with COVID-19 among residents (N = 139)7 (6.61)-
Social activities canceled (N = 366)15542.4
Special access to visit residents with dementia (N = 284)4214.8
Established procedures to use technology with residents with dementia (N = 369)246.5
Opportunities to use digital communication technology for social contact (N = 349)25472.8
Social Tech training for staff (N = 353)
None17950.7
Less than 2 h11231.7.
Up to 4 h216.0
Up to 8 h41.1
Over days10.3
Training is planned174.8
Observed increase of pharmacological therapy (N = 344)205.8
Observed increase of BPSD e (N = 373)
Aggression6316.9
Anxiety14438.6
Apathy6016.1
Appetite loss9024.1
Depression14538.9
Hallucinations51.3
Paranoia20.5
Psychosis174.6
Sleeplessness3910.5
Wandering6316.9
Other369.7
a N = valid responses per question item. b Numbers do not add up to total number of survey participants due to missing values excluded for each question item. c Percentage reported according to relative frequencies. d Average across facilities with confirmed cases of COVID-19. e BPSD = Behavioral and Psychological Symptoms in Dementia.
Table 2. Association between structural characteristics and social activities for PLWD being canceled.
Table 2. Association between structural characteristics and social activities for PLWD being canceled.
Social Activities CanceledTotalΧ2p
YesNo
type of providerpublicN1517323.59290.464
%46.953.1100
privateN4781128
%36.763.3100
non-profitN87100187
%46.553.5100
totalN149198347
%42.957.1100
special dementia care contractyesN2637631.36890.504
%41.358.7100
noN129168297
%43.456.6100
totalN155205360
%43.156.9100
cases among residentsyesN93981917.6930.021 *
%48.751.3100
noN53102155
%34.265.8100
totalN146200346
%42.257.8100
cases among staffyesN1191332529.97530.007 **
%47.252.8100
noN276794
%28.771.3100
totalN146200346
%42.257.8100
>5% staff
shortage
yesN1019619713.09710.001 **
%51.348.7100
noN53107160
%33.166.9100
totalN154203357
%43.156.9100
* Significant at 5 % level. ** Significant at 1 % level.
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Hoel, V.; Seibert, K.; Domhoff, D.; Preuß, B.; Heinze, F.; Rothgang, H.; Wolf-Ostermann, K. Social Health among German Nursing Home Residents with Dementia during the COVID-19 Pandemic, and the Role of Technology to Promote Social Participation. Int. J. Environ. Res. Public Health 2022, 19, 1956. https://doi.org/10.3390/ijerph19041956

AMA Style

Hoel V, Seibert K, Domhoff D, Preuß B, Heinze F, Rothgang H, Wolf-Ostermann K. Social Health among German Nursing Home Residents with Dementia during the COVID-19 Pandemic, and the Role of Technology to Promote Social Participation. International Journal of Environmental Research and Public Health. 2022; 19(4):1956. https://doi.org/10.3390/ijerph19041956

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Hoel, Viktoria, Kathrin Seibert, Dominik Domhoff, Benedikt Preuß, Franziska Heinze, Heinz Rothgang, and Karin Wolf-Ostermann. 2022. "Social Health among German Nursing Home Residents with Dementia during the COVID-19 Pandemic, and the Role of Technology to Promote Social Participation" International Journal of Environmental Research and Public Health 19, no. 4: 1956. https://doi.org/10.3390/ijerph19041956

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