Predictors of Health Self-Management Program Preference Among Lower-to-Middle Wage Employed Adults With Chronic Health Conditions

Understanding barriers to participation in group chronic disease self-management (CDSM) programs: A scoping review

OBJECTIVE

To identify factors that influence enrollment in and attendance of chronic disease self-management (CDSM) group programs.

METHODS

A scoping review of peer-reviewed publications that reported on factors of enrollment or attendance in group CDSM programs for adults with any type of chronic condition. Screening was completed by two reviewers and data extraction was checked for accuracy. Data were summarized and key themes were identified in collaboration with the study team.

RESULTS

Following screening, 52 of 2774 articles were included. Attendance rates that varied from 10.4-98.5% (mean =72.5%). There is considerable overlap between enrollment and attendance factors. These included Competing Commitments, Logistics, Personal characteristics, Perception of illness/health status, Health service provision, and Group dynamics.

CONCLUSIONS

Varied and individualized factors can facilitate or impede enrollment or attendance in group CDSM programs. Consideration of these factors and tailoring of programs is needed to facilitate patient ability to take part. Participatory co-design is a growing approach to ensure programs meet individual and community needs. More research is needed to identify the specific impact of using codesign on enrollment and attendance in group CDSM programs.

PRACTICE IMPLICATIONS

Including community members and service users in design and implementation may enhance CDSM program access.

Outcome of management based on "1+X" model in a health examination center

OBJECTIVE

To investigate the effect of management measures based on the "1+X" model in physical examination centers.

METHODS

This retrospective study was conducted on 5362 individuals who underwent physical examinations in Heping Hospital Affiliated to Changzhi Medical College from January 1, 2020 to December 31, 2022. These subjects were divided into an observation group (n=2681) and a control group (n=2681) according to the different management measures. Subjects from the control group were given routine management measures, while those from the observation group were given management measures based on the "1+X" model. The scores of negative emotions, waiting time for physical examination, acquisition of health knowledge, satisfaction for the physical examinations, and efficiency and degree of credibility in medical management were evaluated and compared between the two groups.

RESULTS

After management, the scores of anxiety and depression in both groups were significantly reduced in contrast to before management, and the two scores were significantly lower in the observation group than those in the control group (P<0.05). The observation group experienced significantly shorter waiting time for routine urination, blood sampling, internal and surgical examinations, and electrocardiogram than the control group (all P<0.001). The acquisition of health knowledge in the observation group was significantly better than that in the control group (P<0.05). The satisfaction rates of the observation group in the terms of service attitude, examination environment, health education, and follow-up services were significantly better than those in the control group (all P<0.05). Moreover, the efficiency and degree of credibility in medical management in the observation group were better than those in the control group.

CONCLUSION

The application of management measures based on the "1+X" model has a good effect in our physical examination center. On the one hand, it can significantly reduce the waiting time for various physical examinations and alleviate the negative emotions of physical examinees. On the other hand, it can effectively enhance the overall acquisition of health knowledge, the satisfaction of physical examination, and the efficiency and degree of credibility in medical management. This management model is worthy of clinical promotion and application.

Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model

Introduction

Chronic disease self-management is influenced by many factors. Previous studies have linked patients' media use with chronic disease self-management, but the underlying mechanisms of this relationship are less understood.

Objectives

The purpose of this study is to explore the mediating role of family health (FH) between frequency of smartphone use (FOSU) and self-management behaviors among middle-aged and older patients with chronic diseases (SBAMAOPWCD) through a moderated mediation model, and whether this indirect relationship is modified by the solitary status of middle-aged and older Chinese patients with chronic disease.

Methods

Surveys were collected from 1,424 (N = 1,424; age > 45) middle-aged and older with one or more chronic conditions in China on self-reports of FOSU, FH and Chronic disease self-management behaviors were used to examine the moderated mediation model.

Results

The results showed that the FOSU was significantly and positively associated with SBAMAOPWCD (β = 0.220, p < 0.001; β = 0.170, p < 0.001; β = 0.167, p < 0.001; β = 0.158, p < 0.001); The Family health resources (FHR) dimension of FH and the Family external social supports (FESS) dimension mediated the relationship between the FOSU and SBAMAOPWCD (β = -0.0758, CI: -0.1402, -0.0236; β = 0.0721, CI: 0.0141, 0.1458), Among them, the FHR dimension mediated mainly among FOSU, exercise and cognitive symptom management practices (CSMP; β = -0.0344, CI: -0.0652, -0.0102; β = -0.0401, CI: -0.0725, -0.0138), the FESS dimension of the FH mediated the relationship between the FOSU and communication with physicians (CWP; β = 0.0376, CI: 0.0116, 0.0705); Solitary state played a moderating role in the relationship between FHR dimension and SBAMAOPWCD (live alone β = -0.2395, CI: -0.4574, -0.0661; not live-alone β = -0.0599, CI: -0.1164, -0.0172). In addition, solitary state played a moderating role in the relationship among FHR dimension and CSMP for middle-aged and older patients (live alone β = -0.1095, CI: -0.1961, -0.0378; not live-alone β = -0.0334, CI: -0.0633, -0.0102). Interestingly, the relationship between FESS dimension and SBAMAOPWCD was moderated only by the non-live alone population (β = 0.0676, CI: 0.0008, 0.1478), and not by the live-alone population (β = 0.1026, CI: -0.1061, 0.3278).Unexpectedly, we found that when their FHR were lower, they reported higher levels of chronic disease self-management, middle-aged and older patients with chronic diseases who live alone are more significant in this impact relationship.

Conclusions

The study further deepens our understanding of the mechanisms linking frequency of smartphone use with chronic disease self-management behaviors, and it helps to develop interventions to improve chronic disease self-management behaviors in middle-aged and older adults.