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Article

The Variables of the Readiness for Discharge from Hospital in Patients after Myocardial Infarction

by
Ewelina Kolarczyk
1,*,
Agnieszka Witkowska
2,
Marek Szymiczek
2 and
Agnieszka Młynarska
1
1
Department of Gerontology and Geriatric Nursing, Faculty of Health Sciences, Medical University of Silesia, 40-635 Katowice, Poland
2
Department of Cardiology, Electrotherapy and Angiology, Scanmed S.A. Racibórz Medical Center, 47-400 Racibórz, Poland
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(2), 1582; https://doi.org/10.3390/ijerph20021582
Submission received: 21 December 2022 / Revised: 8 January 2023 / Accepted: 13 January 2023 / Published: 15 January 2023

Abstract

:
Discharge after myocardial infarction (MI) reduces the risk of repeated myocardial infarction and stroke and has a positive effect on the patient’s prognosis. An important element of preparation is the assessment of the patient’s readiness for discharge from hospital. This study aimed to evaluate the associations between a patient’s readiness for hospital discharge after MI, their functioning in the chronic illness, and socio-demographic and clinical variables. Methods: This was a cross-sectional, single-center study. The study was conducted among 242 patients who were hospitalized for myocardial infarction after percutaneous coronary intervention (PCI). The Readiness for Hospital Discharge After Myocardial Infarction Scale (RHD-MIS) and the Functioning in Chronic Illness Scale (FCIS) were used. Results: No statistically significant differences were found between socio-demographic and clinical factors and the overall result of the RHD-MIS (p >0.05).There is a positive correlation between hospital discharge readiness and functioning in chronic disease in patients after MI (r = 0.20; p < 0.001). The higher the level of subjective knowledge, the better the functioning in chronic disease (rho = 0.16; p < 0.05), the greater the increase in the sense of influence on the course of the disease (rho = 0.17; p < 0.05) and the greater the decrease in the impact of the disease on the patient’s attitude (rho = 0.23, p < 0.05). Conclusions: The higher the readiness for discharge from hospital, the better the patient’s functioning in the disease and the lower the impact of the disease on the patient.

1. Introduction

The concept of “hospital discharge readiness” was first defined in 1976 by Fenwick and referred to the patient’s sense of readiness to face reality [1,2]. Discharge readiness includes the physical stability of the patient about to be discharged home, and whether they have adequate support, psychological capacity, and information and knowledge [2]. According to Galvin et al., physical stability refers to physical self-care, and self-care and psychological stability refers to the patients’ subjective feeling regarding their ability to cope after returning home. Knowledge refers to the patient’s information about myocardial infarction, as well as the scope of self-care in this disease entity. “Support” isunderstood as the emotional and psychological support received by the patient from their family, medical facility, or social organization [2]. According to Mabire et al. (2019), patient readiness for hospital discharge is influenced by the discharge process and structural factors such as the patient population, ward size and educational experience of nurses in the team. It is believed that patient readiness to be discharged from hospital is lower in larger medical units [3].A patient with a history of myocardial infarction is at high risk of subsequent cardiovascular events, such as another myocardial infarction, stroke and death. Teaching patients correct health behaviors after myocardial infarction contributes to a reduced risk of the recurrence of myocardial infarction and has a positive effect on the prognosis of such a patient [4]. It is strongly recommended that the use of hospital discharge readiness assessments becomes a fundamental part of the routine process of patients’ hospital discharge and return to the home environment [5]. It is believed that the importance of readiness for hospital discharge is an issue that should be analyzed worldwide and related to the search for ways to reduce healthcare costs [1,6]. The effect of properly preparing patients for discharge from hospital is in obtaining better results in terms of self-care, thus reducing the number of rehospitalizations, visits to emergency departments and even deaths [7]. Previous scientific studies confirm that there is arelationship between the assessment of readiness for hospital discharge and adherence to treatment in long-term follow-up in patients after myocardial infarction [8] and acceptance of the disease in patients after myocardial infarction [9].As reported by other studies, there is arelationship between the patient’s educational expectations and their long-term adherence to treatment [10]. Although there have been previous studies on readiness for hospital discharge, knowledge about readiness for discharge in patients with a history of myocardial infarction remains limited.
This study aimed to examine the level of hospital discharge readiness reported by patients in relation to the level of functioning in chronic illness and its socio-demographic factors among patients with myocardial infarction. The main research problems are presented in the following questions: (1) whether and how the level of functioning of patients with chronic illness after myocardial infarction affects these patients’ readiness to be discharged from hospital; (2) whether and which socio-demographic factors affect the readiness of patients to be discharged from the hospital after myocardial infarction; and (3) whether and which socio-demographic factors affect the level of functioning in chronic illness in patients after myocardial infarction.

2. Materials and Methods

2.1. Study Design

A cross-sectional, single-center study was carried out. The study was carried out according to the STROBE checklist for observational studies [11].

2.2. Settings, and Participants

This study used a selected group of patients (n =242) in the Unit of Cardiology, Electrotherapy and Angiology Scanmed S.A. Racibórz Medical Center, in the Silesian Voivodeship. The patients were hospitalized due to myocardial infraction within the period between June 2021 and June 2022. The written consent of the management of Scanmed S.A. was obtained for the study. The minimum sample size was 196, which was calculated based on the available patient population, with a 95% confidence interval. The data used to determine the minimum number of individuals within the group were obtained from the demographic situation in Poland up to 2020 [12].The questionnaires were provided in a paper form (“pen-pencil questionnaire”) and the interview was conducted by two investigators who were medical staff on this ward and one investigator who was a researcher from university. The surveys were collected on the last day of hospitalization. The inclusion criteria for the study wereadult participants: (1) diagnosed with myocardial infarction, as well STEMI as NSTEMI; (2) treated with percutaneous coronary intervention (PCI); (3) who provided informed consent to participate in the study; (4) with no dementia-related disorders; (5) with no mental disorders. Patients who did not consent to participate in the study, or who were unable to answer questions due to hearing disorders or vision disorders, advanced senile dementia or diagnosed mental illnesses were excluded from the study.

2.3. Instruments

The research was carried out using two standardized measures: the Readiness forHospital Discharge After Myocardial Infarction Scale (RHD-MIS) and the Functioning in Chronic Illness Scale (FCIS). Moreover, an original 14-question survey on socio-demographic and clinical factors was used.
The RHD-MIS scale evaluates patients’ readiness for discharge after myocardial infarction. The questionnaire included three subscales: (1) subjective assessment of patient knowledge about the disease, (2) objective assessment of patient knowledge about the disease, (3) patient expectations. To measure readiness, the centile standards were constructed to express low, intermediate and high values. A score from 0 to 3 was assigned to each RHD-MIS item. A patient who scores above 57 points has high readiness, patients with scores less than 44 points have low readiness, while a score ranging from 44 to 57 points indicates a patient with an intermediate level of readiness. RHD-MIS is considered a reliable and relevant tool for measuring patient readiness for discharge. The a-Cronbach coefficient was 0.789, indicating a high level of reliability and homogeneity [13].
The Chronic Disease Functioning Scale (FCIS) obtains results in four scales: general functioning of the patient in the illness (scores in the range of 24–120 points, where scores up to 78 points mean a low level, scores of 79–93 mean a medium level and scores above 93 points mean a high level), the impact of the illness on the patient (8–40, where the low level is up to 23, the medium level is 24–33 and the high level is above 33), the impact of the patient on the illness (8–40, where the low level is up to 24, the level average 25–29 and high level above 29) and the impact of the illness on the patient’s attitudes (8–40, where low level is up to 27, medium level is 28–33 and high level is above 33).The internal consistency of the questionnaire expressed by the a-Cronbach coefficient was 0.855, which indicates its high reliability and homogeneity. A set of items divided into three subscalesallows for the evaluation of the impact of the disease on the patient, the patient’s impact on the disease and the impact of the disease on the patient’s attitudes [14].

2.4. Statistical Analyses

The analysis used the significance level p < 0.05.Parametric tests (Student’s t-test or ANOVA analysis of variance) or their non-parametric equivalents (Mann–Whitney U test or Kruskal–Wallis test) were used to analyze quantitative variables when broken down into groups. The Bonferroni’s post hoc test was performed to determine precisely which differences were significant between groups. The correlation between variables was verified using the Pearson’s (r) or Spearman’s (rho) correlation coefficient. Tests were selected on the basis of the distribution of variables, which was verified by the Shapiro–Wilk test.The mean (M), standard deviation (SD), median (Me), first quartile (Q1) and third quartile (Q3) were analyzed. Calculations were carried out in the statistical environment R ver.3.6.0, PSPP program and MS Office 2019.

2.5. Ethical Procedure

The study was conducted under the recommendations of the Helsinki Declaration implemented by the World Medical Association [15] and the guidelines of Good Clinical Practice [16]. Before beginning the study, the respondents were informed about the anonymous and voluntary nature of the survey. Consent to participate in the study was obtained from each respondent. The study protocol was approved by the Bioethics Committee at the Medical University of Silesia in Katowice on 04 March 2019 (ethical approval code: KNW/0022/KB/46/19).

3. Results

3.1. Characteristics of the Study Group

The sample consisted of 242 patients (80 women and 162 men). The ages of the respondents were ≥70 years(72(29.9%)), 70–61 years(83(34.9%)), 60–51 years (53(22%)), 50–41 years (22(9.1%)) and ≤ 40 years (10(4.1%)). The majority of respondents were married (162;71.2). Most of the surveyed patients were city dwellers (123;59.9%) and had children (205;92,4%). The majority of the respondents were pensioners (103;54.2%), nearly 6.8%(13) were unemployed and 74 (38.9%) of the respondents were working people. The epidemiological information about the prevalence of chronic diseases indicated the coexistence of hypertension (159;77.7%), diabetes (73;35.4%), lipid disorders (58;28.2%) and other diseases (74;36.9%). Most of the surveyed patients had had one episode of myocardial infarction (199;82.2%), nearly 15.7%(37) had had two episodes and 52.1%(5) had had more than two episodes of myocardial infarction.

3.2. Readiness for Hospital Discharge (RHD-MIS)

Of the 242 respondents, 217 questionnaires that contained complete answers to the questions were included in the analysis of the hospital discharge readiness survey data. The study indicated low readiness for hospital discharge in 89(40.6%) patients, while 94(42.9%) showed an intermediate level and 36(16.5%) exhibited high readiness for discharge. The analysis showed no statistically significant differences between socio-demographic and clinical factors, and the overall results of the hospital discharge readiness scale in patients after myocardial infarction (p > 0.05). Therefore, the assumed hypothesis that socio-demographic and clinical variables significantly differentiate the degree of hospital discharge readiness in patients after myocardial infarction had to be rejected. The results are presented in Table 1.

3.2.1. RHD-MIS Subscale 1: The Assessment of Subjective Knowledge

Regarding the RHD-MIS subscales, we observed statistically insignificant (p > 0.05) differences in the level of subjective knowledge about socio-demographic and clinical variables. The study shows that subjective knowledge was slightly higher among men, people up to 60 years of age, overweight people, unmarried people, those living in the countryside, those with secondary education and professionally active people. Slightly more subjective knowledge was also observed among people with children, those without comorbidities, those not smoking at all and people after their first heart attack (p > 0.05). The results are presented in Table 2.

3.2.2. RHD-MIS Subscale 3: The Assessment of Objective Knowledge

The Mann–Whitney U test showed that respondents’ objective knowledge showed statistically significant (p < 0.05) differences in terms of objective knowledge between people with and without children, as well as differences between people suffering from other chronic diseases and people without such diseases.
Over half of the respondents with children (184;16.39 ± 4.64), interms of objective knowledge, obtained results no lower than Me = 18.00 (the other half of those with children obtained a result no higher than Me = 18.00). The lowest score among this group was Min = 1.00 and the highest was Max = 21.00. Half of those without children obtained a score no higher than Me = 12.00 (the other half obtained a score no lower than Me = 12.00). The lowest score was Min = 8.00; the highest was Max = 21.00. People with children had significantly (p= 0.033) greater objective knowledge than people without children. Half of the people without other chronic diseases had a score no higher than Me = 17.00. The lowest score among this group was Min = 1.00, and the highest was Max = 21.00. Half of those with other chronic diseases had a score no lower than Me = 19.00. The lowest score was Min = 6.00; the highest was Max = 21.00. People with other chronic diseases were characterized by statistically significantly (p = 0.001) greater objective knowledge than people without such diseases. The distribution of variables is shown in Figure 1.

3.2.3. RHD-MIS Subscale 3: The Assessment of Expectations

Statistical analysis showed statistically significant (p = 0.023) differences in the level of expectations between men and women. Half of the women obtained a score no lower than Me = 15.00. The lowest score among this group was Min = 0.00, and the highest was Max = 27.00. Half of the men scored no more than Me = 10.00. The lowest score was Min = 0.00; the highest was Max = 27.00. Women obtained statistically significantly (p < 0.05) higher scores on the expectations scale, and thus felt significantly less need to obtain additional information about their disease and its treatment. The distribution of variables is shown in Figure 2.

3.3. The Functioning in Chronic Illness Scale (FCIS)

This study indicated low levels of disease functioning in 76 (31.4%) patients, while118 (48.8%) were characterized by intermediate levels and 48 (19.8%) exhibited high general disease functioning. The U Mann–Whitney test showedstatistically significant (p < 0.05) differences in the general functioning of the disease, depending on their professional activity (p = 0.026), hypertension (p = 0.034), diabetes (p < 0.001) and whether they had other chronic diseases (p = 0.040). Professionally active people, M = 86.04 (SD = 11.63) and people without other chronic diseases, M = 84.16 (SD = 10.99) were characterized by statistically significantly (p < 0.05) better overall disease functioning than professionally inactive people, M = 82.03 (SD = 12.18) and those with other chronic diseases, M = 80.43 (SD = 13.60). Half of the respondents without hypertension or diabetes had a result no lower than Me = 86.00. Half of the people with hypertension had a result no higher than Me = 82.00, and those with diabetes scored no higher than Me = 78.00. Thus, it was shown that people suffering from hypertension and diabetes had statistically significantly worse disease functioning than healthy people. The results are presented in Table 3.

3.3.1. Part 1 of FCIS Scale: The Impact of Illness on Patient

The t-test for independent trials showed statistically significant (p < 0.05) differences in the illness’ level of impact on the patient depending on the presence of diabetes (p = 0.007) and other chronic diseases (p = 0.043). The results in terms of disease impact among people without diabetes M = 27.23 (SD = 5.36) and other diseases M = 27.13 (SD = 4.97) were statistically significantly (p < 0.05) higher than those for people suffering from diabetes M = 25.12 (SD = 5.74) or other chronic diseases M = 25.38 (SD = 6.56). This means that, among people who did not have diabetes or other chronic diseases, the disease had a significantly lower impact on functioning in the chronic illness. The results are presented in Figure 3.

3.3.2. Part 2 of FCIS Scale: The Patient’s Impact on the Illness

The correlation analysis showed that there are statistically significant (p < 0.05) differences in the illness’ impact on patients depending on gender, age, professional activity and the presence of hypertension and diabetes. A post hoc Bonferroni test showed significant statistical differences (p < 0.05) between people aged over 70 and people in both of the younger age groups. Half of people aged over 70 belived that they have an impact of illness no greater than Me = 25.50, and half of the people aged up to 60 and between 61 and 70 believed the impact was no less than Me = 28.00. People over 70 years of age found that they had a statistically significantly lower impact than younger people. Professionally active people had a statistically significantly (p < 0.05) greater sense of the illness’ impact, M = 28.70 (SD = 3.75), than professionally inactive people, M = 27.30 (SD =4.19). Detailed data are presented in Table 4.

3.3.3. Part 3 of FCIS Scale: The Impact of Illness on Patient’s Attitude

The analysis showed that professionally active people (Me = 31.00), people with children (Me = 30.00) and people without diabetes (Me = 30.00) found that the illness had a statistically significantly (p < 0.05) lower impact on their attitudes; thus, they had a more optimistic outlook on the future than professionally inactive people (Me = 29.00), people without children (Me = 27.00) and people suffering from diabetes (Me = 27.00). The results of the impact of illness on the patient’s attitude are presented in Table 5.

3.4. Correlation between Readiness for Discharge from Hospital after MI and Functioning with Chronic Illness

Pearson’s correlation coefficient analysis showed a statistically significant (p < 0.05) positive correlation (r/rho ≤ 0.3) between general readiness for hospital discharge and general functioning in chronic disease (r = 0.20; p < 0.01), as well as the disease’s impact on attitudes (r = 0.21; p < 0.01). Spearman’s correlation coefficient analysis showed a significant correlation between the level of subjective knowledge and disease functioning (rho = 0.16; p < 0.05), the disease’s impact on patients (rho = 0.17; p < 0.05) and the disease’s impact on attitudes (rho = 0.23; p < 0.01). There was a significant correlation between the level of objective knowledge and general functioning in the disease (rho = 0.15; p < 0.05) and the disease’s impact on attitudes (rho = 0.17; p < 0.05). There was also a significant positive and weak correlation between the level of patient expectations and the disease’s impact on the patient (rho = 0.15; p < 0.05).

4. Discussion

This study examined the relationship between readiness for hospital discharge in patients after MI, socio-demographic and clinical variables, and the functioning with chronic illness. The study showed that socio-demographic and clinical variables do not differentiate the general level of hospital discharge readiness or the level of subjective knowledge and expectations in terms of a patient’s readiness (except for higher expectations in the group of women). Objective knowledge regarding hospital discharge readiness correlated positively with having children (p = 0.033) and comorbidities (p = 0.001).
This study indicated a low readiness for hospital discharge in 89(40.6%) patients, while 94(42.9%) were characterized by an intermediate level and 36(16.5%) exhibited high readiness for discharge. Similar results were obtained in a study conducted by Hydzik et al. in a cardiac rehabilitation ward among 102 patients after myocardial infarction. The cited study showed low readiness in 47.06% of patients, while 27.45% were characterized by intermediate levels and 25.49% exhibited high readiness for discharge [12]. Although the results of the empirical research were essentially consistent with what is presented in the literature on the subject, several separate, interesting observations were made. In the study by Hydzik et al., a higher level of readiness forhospital discharge was found in patients in a relationship, those living in a city, professionally active patients, those without diabetes and those suffering from lipid disorders [9]. Our analysis showed no statistically significant differences between socio-demographic and clinical factors and the overall results of the hospital discharge readiness scale in patients after myocardial infarction (p > 0.05). Our results are consistent with those of Kosobucka et al., in a study conducted on 213 patients According to multiple comparison tests, none of the analyzed socio-demographic or clinical factors were associated with the general score of readiness for hospital discharge [8]. Our research, together with the studies cited above, shows that hospital discharge readiness in patients after myocardial infarction is at a similar level in three regions of Poland.
Although there are many publications on hospital discharge in the literature, they mainly concern children and parents of newborns after surgical procedures. There are few studies on hospital discharge readiness in patients with cardiovascular diseases, especially in patients after myocardial infarction.Perhaps the unsatisfactory resultsregarding patients’ high readiness for discharge from the hospital are caused by the lack of information in the questionnaire about caregiversupport and the lack of preparation of caregivers regarding the clinical condition of the patient who is discharged home. A qualitative descriptive study conducted by Melissa O Connor et al. showed that self-care ability, functional status, status of condition(s) and symptoms, the presence of a caregiver, support for the caregiver, connection to community resources/support, safety needs of the home environment, adherence to the prescribed regimen and care coordination all play an important role [17].
In Poland, in 2017, a program of coordinated specialist care for patients after a heart attack was launched by the ordinance of the Minister of Health. The program consisted of four modules: module I is “hospitalization”, which includes conservative treatment and invasive diagnostics; module II includes cardiac rehabilitation, which begins within 14 days of discharge from the hospital; module III is electrotherapy, under which the patient can, following an applicable sequence in the general mode, implement a cardioverter-defibrillator (ICD) or a cardiac resynchronization system (CRT-D); and module IVincludes an unlimited number of visits to a specialist clinic [18]. With reference to our research, which was conducted among patients after PCI surgery, preparation for discharge from the hospital took place as part of the first module, which provides important information on objective and subjective knowledge and expectations, and additional information on health, and the planning and development of further care during coordinated visits.
It is very difficult to compare our research results with other research results because there are few of them and they differ in terms of the research group.In this study, we found that half of the respondents (54.3%) were characterized by a low expectation of obtaining additional information. Expectations about information may be related to the expectation of some kind of support, in the form of information/knowledge.In a study by Wallace et al., whose purpose was to explore the association between patient characteristics and the patient- and nurse-completed Readiness for Hospital Discharge Scale, it was shown that patients’ perceived knowledge was lower in the case of people with insufficient reading and writing skills. Additionally, in the patient expectations subscale, a relationship was found between unmarried people and people living alone regarding the expectation of support after discharge [19]. In relation to our study, we found an additional characteristic that influenced patient expectations as a component of hospital discharge readiness: it was mostly male patients who had a higher need for more information about their disease and its treatment.The education of patients, carried out duringhospitalization after myocardial infarction, should be planned, monitored and conducted by all members of the therapeutic team in accordance with their competences [20]. Some studies have indicated that the continuity of nurse assignment during discharge care has the potential to increase patient readiness for discharge, which has been associated with fewer readmissions and emergency department visits [21]. Other research suggests the need for a structured process for discharging a patient from hospital, with tools to help healthcare organizations improve their discharge process and decrease readmission rates [22]. An additional tool may be the Chronic Disease Functioning Scale [14].
Our research showed a positive correlation between hospital discharge readiness and functioning with chronic disease in patients after myocardial infarction (r = 0.20; p < 0.001). It was shown that the higher the readiness for discharge from the hospital, the better the disease functioning and the lower the impact of the disease on the patient. It was also shown that the higher the level of subjective knowledge, the better the chronic disease functioning (rho = 0.16; p < 0.05), the greater the increase in the sense of influence over the course of the disease (rho = 0.17; p < 0.05) and the greater the decrease in the impact of the disease on the patient’s attitude (rho = 0.23, p < 0.05). In addition, the research showed that, with the increase in the level of objective knowledge, the level of disease functioning also increased (rho = 0.15; p < 0.05) and the disease’s impact on the patient decreased (rho = 0.17; p < 0.05).In addition to external resources, such as educating the patient about the disease, the ability to adapt to and cope with the situation related to myocardial infarctionmay affect their readiness for discharge from hospital. To better understand and assess the patient’s preparation for discharge from hospital, it is worth assessing the patient’s level of functioning with chronic disease [23].
Limitations of the Study
The limitations of this work include the small size of the study group (n =242) and the selection of patients from only one region in Poland (Silesian Region). Therefore, these results should not be usedto profile patients’ readiness for hospital discharge after MI worldwide.In addition, the limitations of this work include missing answers in the surveys and the long period of data collection. Therefore, care should be taken in assigning these results to the profile of all patients with MI, both nationwide and worldwide. This research needs to be extended in the future to expand the knowledge in this area; we plan to include more study groups in a multicenter study. Replicating this study with more data and more robust study designs is warranted to confirm these results.

5. Conclusions

The level of hospital discharge readiness in patients after MI is influenced by their level of functioning with chronic disease. The higher the readiness for discharge from the hospital, the better the disease functioning and the lower the impact of the disease on the patient. The assessment of readiness for discharge from the hospital should be guided not only by a questionnaire on readiness for discharge, but also by a comprehensive assessment of the social environment, support the patient receives and their level of functioning with a chronic illness. The main principle of proper patient preparation for hospital discharge should be an individual and holistic (biological, psychological and social) approach after myocardial infarction to prevent unplanned rehospitalization.

Author Contributions

Conceptualization, E.K. and A.M.; methodology, E.K. and A.M.; formal analysis, E.K.,A.W., M.S. and A.M.; investigation, E.K., A.W. and M.S. resources, E.K., A.W. and M.S.; data curation, E.K.; writing—original draft preparation, E.K.; writing—review and editing, E.K.; visualization, E.K.; supervision, A.M. and M.S.; funding acquisition, E.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Medical University of Silesia in Katowice, Poland, no: PCN-2-036/N/1/Z.

Institutional Review Board Statement

The study was approved by theBioethics Committee at the Medical University of Silesia in Katowice on 04 March 2019 (ethical approval code: KNW/0022/KB/46/19).

Informed Consent Statement

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

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Acknowledgments

The authors would like to acknowledge Piotr Dec together with the team from e-statystyka.com.pl for statistical support. The authors also wish to thank all the patients participating in this study and the entire staff of Racibórz Medical Centre.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Effects of socio-demographic and clinical variables on objective knowledge about the disease in MI patients.
Figure 1. Effects of socio-demographic and clinical variables on objective knowledge about the disease in MI patients.
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Figure 2. Effects of socio-demographic variables on MI patients’ expectationsof the disease.
Figure 2. Effects of socio-demographic variables on MI patients’ expectationsof the disease.
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Figure 3. Effects of clinical variables on the impact of illness on the patients.
Figure 3. Effects of clinical variables on the impact of illness on the patients.
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Table 1. The socio-demographic and clinical variables on general readiness for hospital discharge in MI patients.
Table 1. The socio-demographic and clinical variables on general readiness for hospital discharge in MI patients.
VariablenM ± SDMeQ1–Q3p
Genderwomen7048.16 ± 8.9749.0043.00–54.000.057 2
men14945.94 ± 11.3745.0039.00–53.00
Age range≤60 years7847.83 ± 12,0647.5039.00–57.000.392 4
61–70 years7347.47 ± 11.7845.0040.00–55.00
≥70 years6644.44 ± 7.0545.5039.00–50.00
BMI rangenormal5447.72 ± 10.1948.0040.00–54.000.959 3
overweight9346.65 ± 10.7645.0040.00–54.00
obesity7146.00 ± 11.0545.0039.00–53.00
Marital statusin relationship14846.82 ± 11.2646.0039.00–54.000.917 1
single5746.65 ± 9.1946.0040.00–52.00
Place of residencecity10747.17 ± 10.0547.0041.00–54.000.482 1
village7746.04 ± 11.5945.0039.00–54.00
Educationprimary3545.37 ± 9.7845.0040.00–53.000.681 3
vocational8846.11 ± 11.4245.5039.00–53.50
secondary6847.79 ± 9.8248.0041.50–54.00
higher2347.43 ± 12.1045.0039.00–57.00
Professional activityactive6748.75 ± 11.7448.0039.00–58.000.176 2
inactive10045.70 ± 11.0144.5039.00–53.00
Childrenyes18446.87 ± 10.9346.0039.50–54.000.861 1
no1646.38 ± 9.0744.5041.00–49.50
Arterial hypertensionno7147.63 ± 11.5147.0040.00–55.000.346 1
yes14846.18 ± 10.2946.0039.00–53.00
Diabetesno15247.19 ± 10.7846.5040.00–54.000.259 1
yes6745.42 ± 10.4946.0039.00–52.00
Lipid disordersno16446.48 ± 11.1845.5039.00–54.000.681 1
yes5547.16 ± 9.1647.0040.00–52.00
Other chronic diseasesno14946.79 ± 11.1047.0039.00–54.000.783 1
yes7046.36 ± 9.8445.0040.00–53.00
Smokingcurrently6048.10 ± 10.3047.5042.50–54.500.307 3
never10547.19 ± 11.5047.0040.00–54.00
in the past5443.98 ± 9.0942.0037.00–48.00
Myocardial infarctionfirst17846.80 ± 10.4446.0040.00–54.000.689 1
next4046.05 ± 12.0044.5037.00–53.50
Total21946.65 ± 10.7046.0039.50–54.00 -
Readiness for hospital dischargeNumber of pointsInterpretationn%
0–43Low level8940.6%
44–57Intermediate level9442.9%
58–69High level3616.5%
M—mean; SD—standard deviation; Me—median; Q1—first quartile; Q3—third quartile; p—statistically significant results; 1t-test for independent trials; 2 U Mann–Whitney test; 3 one-way ANOVA; 4 test Kruskal–Wallis test; for each significant pair of response categories, the key of the category with the lower mean/median was recorded next to the category with the higher mean/median.
Table 2. The socio-demographic and clinical variables on subjective knowledge of the disease in MI patients.
Table 2. The socio-demographic and clinical variables on subjective knowledge of the disease in MI patients.
VariablenM ± SDMeQ1–Q3p
Genderwomen7017.03 ± 4.1918.0015.00–20.000.783 2
men14917.24 ± 4.6118.0014.00–21.00
Age range≤60 years7817.88 ± 4.7919.0015.00–21.000.232 4
61–70 years7316.88 ± 4.5718.0014.00–21.00
≥70 years6616.58 ± 3.9317.0015.00–20.00
BMI rangenormal5416.81 ± 4.2217.0015.00–21.000.786 4
overweight9317.54 ± 4.8619.0015.00–21.00
obesity7117.03 ± 4.1518.0014.00–21.00
Marital statusin relationship14817.21 ± 4.5918.0015.00–21.000.376 2
single5717.61 ± 3.7919.0015.00–21.00
Place of residenceCity10717.36 ± 3.6619.0014.00–21.000.603 2
village7717.57 ± 3.7218.0015.00–21.00
Educationprimary3516.80 ± 4.3417.0015.00–20.000.403 4
vocational8816.93 ± 5.1518.0014.00–21.00
secondary6817.71 ± 3.5618.5015.00–21.00
higher2317.57 ± 3.8919.0016.00–21.00
Professional activityactive6718.61 ± 4.5519.0017.00–21.000.293 2
inactive10017.41 ± 4.2819.0015.00–21.00
Childrenyes18417.36 ± 4.5118.5015.00–21.00 0.221 2
no1616.44 ± 3.1615.0014.50–20.00
Arterial hypertensionno7117.82 ± 5.2219.0016.00–21.00 0.192 2
yes14816.86 ± 4.0518.0014.00–21.00
Diabetesno15217.39 ± 4.5418.0015.00–21.00 0.388 2
yes6716.69 ± 4.3117.0014.00–21.00
Lipid disordersno16417.24 ± 4.2219.0015.00–21.000.159 2
yes5516.98 ± 5.2017.0015.00–20.00
Other chronic diseasesno14917.51 ± 4.3018.0015.00–21.000.311 2
yes7016.46 ± 4.7818.0014.00–21.00
Smokingcurrently6017.32 ± 5.5018.0015.00–21.000.182 4
never10517.35 ± 4.3019.0015.00–21.00
in the past5416.67 ± 3.4517.0014.00–20.00
Myocardial infarctionfirst17817.35 ± 4.4418.5015.00–21.000.480 2
next4016.40 ± 4.6217.0014.00–21.00
Total21917.17 ± 4.4718.0015.00–21.00-
Subjective knowledgeNumber of pointsInterpretationn%
0–15Low level7333.3%
16–18Intermediate level4118.8%
19–21High level10547.9%
M—mean; SD—standard deviation; Me—median; Q1—first quartile; Q3—third quartile; p—statistically significant results; 2 U Mann–Whitney test; 4 test Kruskal–Wallis test; for each significant pair of response categories, the key of the category with the lower mean/median was recorded next to the category with the higher mean/median.
Table 3. The socio-demographic and clinical variables on the Functioning in Chronic Illness Scale in MI patients.
Table 3. The socio-demographic and clinical variables on the Functioning in Chronic Illness Scale in MI patients.
VariablenM ± SDMeQ1–Q3p
Genderwomen8081.99 ± 11.7382.0073.50–88.500.347 1
men16283.52 ± 12.0585.0076.00–92.00
Age range≤60 years8585.04 ± 11.8187.0076.00–93.000.444 3
61–70 years8383.60 ± 11.4885.0077.00–90.00
≥70 years7279.93 ± 12.3081.0072.50–87.00
BMI rangenormal5783.09 ± 13.9584.0074.00–92.000.902 3
overweight9984.63 ± 11.2285.0079.00–93.00
obesity8481.06 ± 11.2582.0072.00–88.50
Marital statusIn relationship16283.41 ± 11.2184.0077.00–91.000.538 1
single6682.35 ± 13.2484.0074.00–91.00
Place of residencecity12382.65 ± 11.1484.0076.00–89.000.383 1
village8384.08 ± 12.1684.0076.00–94.00
Educationprimary4082.63 ± 11.7285.0074.50–90.500.500 4
vocational9882.68 ± 11.9082.5076.00–90.00
secondary7482.43 ± 11.9984.0075.00–89.00
higher2587.04 ± 12.2786.0079.00–97.00
Professional activityactive B7486.04 ± 11.6387.5080.00–93.000.026 1
inactive11682.03 ± 12.1882.0074.00–90.00
Childrenyes20583.42 ± 11.4285.0076.00–91.000.065 1
no1777.94 ± 14.8479.0071.00–82.00
Arterial hypertensionnoB8385.37 ± 11.6586.0077.00–93.000.034 2
yes15981.79 ± 11.9482.0075.00–89.00
DiabetesnoB16984.99 ± 11.4186.0080.00–92.00<0.001 2
yes7378.45 ± 11.9678.0070.00–86.00
Lipid disordersno18483.76 ± 11.7385.0077.00–91.500.084 1
yes5880.66 ± 12.3881.5073.00–87.00
Other chronic diseasesno B16884.15 ± 10.9985.0078.00–91.000.040 1
yes7480.43 ± 13.6081.0071.00–89.00
Smokingcurrently6485.31 ± 11.5687.0078.00–93.000.191 3
never11482.21 ± 12.8082.0074.00–90.00
In the past6482.16 ± 10.5284.0076.50–88.00
Myocardial infarctionfirst19983.64 ± 11.8884.0076.00–92.000.094 1
next4280.24 ± 12.0685.0072.00–89.00
Total24283.02 ± 11.9484.0076.00–90.75-
General functioning in the illnessNumber of pointsInterpretationn%
24–78Low level7631.4%
79–93Intermediate level11848.8%
94–120High level4819.8%
M—mean; SD—standard deviation; Me—median; Q1—first quartile; Q3—third quartile; p—statistically significant results; 1t-test for independent trials; 2 U Mann–Whitney test; 3 one-way ANOVA; 4 test Kruskal–Wallis test; B subsequent categories of answers; for each significant pair of response categories, the key of the category with the lower mean/median was recorded next to the category with the higher mean/median.
Table 4. The socio-demographic and clinical variables regarding the patient’s impact on the illness.
Table 4. The socio-demographic and clinical variables regarding the patient’s impact on the illness.
VariablenM ± SDMeQ1–Q3p
Genderwomen8026.18 ± 4.8825.5023.00–29.000.005 2
men A16227.60 ± 4.4228.0025.00–31.00
Age range≤60 years C8528.21 ± 3.8628.0025.00–32.00<0.001 4
61–70 years C8327.39 ± 4.5328.0025.00–30.00
≤70 years7225.40 ± 5.0625.5023.00–28.00
BMI rangenormal5726.63 ± 5.1826.0024.00–30.000.676 4
overweight9927.34 ± 4.5728.0025.00–30.00
obesity8427.17 ± 4.3227.0024.00–30.50
Marital statusin relationship16227.35 ± 4.2028.0025.00–30.000.483 2
single6627.05 ± 5.3527.0024.00–31.00
Place of residencecity12327.37 ± 4.4428.0025.00–30.000.525 2
village8327.07 ± 4.8527.0024.00–30.00
Educationprimary4026.98 ± 4.0526.0024.00–30.000.123 4
vocational9826.70 ± 5.2027.0024.00–29.00
secondary7427.09 ± 3.7328.0025.00–29.00
higher2529.20 ± 4.8431.0025.00–33.00
Professional activityactive B7428.70 ± 3.7529.0026.00–32.000.020 1
inactive11627.30 ± 4.1928.0024.00–30.00
Childrenyes20527.42 ± 4.2728.0025.00–30.000.052 2
no1724.76 ± 6.7625.0023.00–29.00
Arterial hypertensionnoB8328.06 ± 3.7228.0025.00–31.000.034 2
yes15926.64 ± 4.9627.0024.00–29.00
DiabetesnoB16927.55 ± 4.3628.0025.00–31.000.035 2
yes7326.15 ± 5.0426.0024.00–29.00
Lipid disordersno18427.48 ± 4.0328.0025.00–30.000.070 2
yes5826.00 ± 6.0125.0024.00–29.00
Other chronic diseasesno16827.35 ± 4.6428.0025.00–31.000.167 2
yes7426.64 ± 4.5627.0024.00–30.00
Smokingcurrently6428.33 ± 3.8228.0025.00–32.000.060 4
never11426.65 ± 4.6927.0024.00–29.00
in the past6426.78 ± 5.0427.0024.50–30.00
Myocardial infarctionfirst19927.32 ± 4.6627.0025.00–30.000.184 2
next4226.24 ± 4.4126.5024.00–29.00
Total24227.13 ± 4.6127.0025.00–30.00-
The patient’s impact on the illnessNumber of pointsInterpretationn%
8–24Low level5924.4%
25–29Intermediate level11547.5%
30–40High level6828.1%
M—mean; SD—standard deviation; Me—median; Q1—first quartile; Q3—third quartile; p—statistically significant results; 1t-test for independent trials; 2 U Mann–Whitney test; 3 one-way ANOVA; 4 test Kruskal–Wallis test; A–C… subsequent categories of answers; for each significant pair of response categories, the key of the category with the lower mean/median was recorded next to the category with the higher mean/median.
Table 5. The effect of socio-demographic and clinical variables on patient’s attitude.
Table 5. The effect of socio-demographic and clinical variables on patient’s attitude.
VariablenM ± SDMeQ1Q3p
Genderwomen8028.69 ± 4.9028.0026.00–31.500.079 2
men16229.60 ± 5.3730.0026.00–34.00
Age range≤60 years8529.96 ± 5.4730.0027.00–34.000.802 3
61–70 years8329.53 ± 5.3730.0027.00–34.00
≥70 years7228.29 ± 4.7128.0025.00–32.00
BMI rangenormal5729.32 ± 5.9929.0025.00–34.000.736 3
overweight9929.94 ± 4.6230.0028.00–33.00
obesity8428.60 ± 5.3528.0025.00–33.00
Marital statusin relationship16229.44 ± 4.9530.0027.00–33.000.301 2
single6628.77 ± 5.8628.5025.00–33.00
Place of residencecity12328.83 ± 4.9629.0025.00–32.000.162 2
village8329.72 ± 5.3130.0027.00–33.00
Educationprimary4028.48 ± 5.0629.0025.00–32.000.821 4
vocational9829.31 ± 5.2630.0026.00–34.00
secondary7429.55 ± 5.3829.0027.00–32.00
higher2529.84 ± 5.0030.0027.00–33.00
Professional activityactive B7430.51 ± 5.3731.0028.00–35.000.017 2
inactive11628.73 ± 5.2229.0025.00–32.00
Childrenyes B20529.40 ± 5.2030.0026.00–33.000.046 2
no1726.88 ± 5.6027.0023.00–30.00
Arterial hypertensionno8330.07 ± 5.2530.0028.00–34.000.068 2
yes15928.89 ± 5.1829.0025.00–33.00
Diabetes noB16930.21 ± 4.9830.0028.00–34.00<0.001 2
yes7327.18 ± 5.2127.0024.00–30.00
Lipid disordersno18429.43 ± 5.4230.0026.50–33.000.313 2
yes5828.88 ± 4.5829.0026.00–32.00
Other chronic diseasesno16829.68 ± 5.0030.0027.00–33.000.147 2
yes7428.42 ± 5.6529.0025.00–33.00
Smokingcurrently6430.20 ± 5.2330.5027.00–34.000.397 3
never11428.99 ± 5.1829.0026.00–32.00
in the past6428.94 ± 5.2929.5025.00–32.50
Myocardial infarctionfirst19929.48 ± 5.1630.0027.00–33.000.344 2
next4228.45 ± 5.5929.0025.00–32.00
Total24229.30 ± 5.2329.0026.00–33.00-
The impact of illness on patient’s attitudeNumber of pointsInterpretationn%
8–27Low level7832.2%
28–33Intermediate level11145.9%
34–40High level5321.9%
M—mean; SD—standard deviation; Me—median; Q1—first quartile; Q3—third quartile; p—statistically significant results; 1t-test for independent trials; 2 U Mann–Whitney test; 3 one-way ANOVA; 4 test Kruskal–Wallis test; B ubsequent categories of answers; for each significant pair of response categories, the key of the category with the lower mean/median was recorded next to the category with the higher mean/median.
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Kolarczyk, E.; Witkowska, A.; Szymiczek, M.; Młynarska, A. The Variables of the Readiness for Discharge from Hospital in Patients after Myocardial Infarction. Int. J. Environ. Res. Public Health 2023, 20, 1582. https://doi.org/10.3390/ijerph20021582

AMA Style

Kolarczyk E, Witkowska A, Szymiczek M, Młynarska A. The Variables of the Readiness for Discharge from Hospital in Patients after Myocardial Infarction. International Journal of Environmental Research and Public Health. 2023; 20(2):1582. https://doi.org/10.3390/ijerph20021582

Chicago/Turabian Style

Kolarczyk, Ewelina, Agnieszka Witkowska, Marek Szymiczek, and Agnieszka Młynarska. 2023. "The Variables of the Readiness for Discharge from Hospital in Patients after Myocardial Infarction" International Journal of Environmental Research and Public Health 20, no. 2: 1582. https://doi.org/10.3390/ijerph20021582

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