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In China, government-funded free treatment programmes have substantially expanded access to mental healthcare for patients with severe mental illnesses (SMIs). However, the effectiveness and patient satisfaction associated with these programmes can vary significantly. Understanding the factors underlying these variations is crucial for optimising patient adherence and rehabilitation outcomes.
To identify factors influencing SMI patients' satisfaction with a government-funded free treatment programme in District S, Nanjing, China, and propose targeted measures to enhance the programme's effectiveness and improve patient outcomes.
A cross-sectional study.
This study was conducted in 23 community healthcare centres in District S, Nanjing, China, from January to July 2022. A total of 924 SMI patients enrolled in the programme were selected using a two-stage random sampling method. Data on patients' individual characteristics, health behaviours and satisfaction with the programme were collected by a self-developed structured questionnaire. Guided by Andersen's Behavioural Model, hierarchical logistic regression analysis was employed to determine factors associated with patient satisfaction.
Among the 924 valid responses, 51.3% of patients with SMIs reported low satisfaction with the programme. Factors associated with patient satisfaction included individual predisposing, enabling, need and health behaviour variables. Specifically, patients who were employed, had schizophrenia, experienced adverse drug reactions, feared program exposure of their condition and received treatment in hospital were more likely to report lower satisfaction.
This study revealed that satisfaction among SMI patients with the programme remains low, with patient satisfaction primarily determined by individual need and health behaviour factors. Policymakers and stakeholders should implement targeted measures to address these factors and improve patient satisfaction.
The findings offer new insights and scientific bases for policymakers seeking to improve the programme and practical recommendations for stakeholders to develop effective solutions.
STROBE guidelines.
No patient or public contribution.
To explore the effect of post-stroke fatigue (PSF) on post-stroke depression (PSD) and examine the mediating effects of fear of disease progression (FOP) and resilience between PSF and PSD.
A cross-sectional study.
A total of 315 stroke patients participated in the questionnaire survey between November 2022 and June 2023. Data were collected using the General Information Questionnaire, Fatigue Severity Scale, Fear of Disease Progression Questionnaire-Short Form, Connor–Davidson Resilience Scale-10 Item and Hospital Anxiety and Depression Scale-Depression Subscale. Data were analysed by descriptive analysis, Mann–Whitney U-test, Kruskal–Wallis H-test, Pearson or Spearman correlation, hierarchical regression analysis and mediation analysis.
PSF had a significant positive total effect on PSD (β = .354, 95% CI: .251, .454). Additionally, FOP and resilience played a partial parallel-mediating role in the relationship between PSF and PSD (β = .202, 95% CI: .140, .265), and the total indirect effect accounted for 57.06% of the total effect.
FOP and resilience parallelly mediated the effect of PSF on PSD, which may provide a novel perspective for healthcare professionals in preventing PSD. Targeted interventions aiming at reducing PSF, lowering FOP levels and enhancing resilience may be possible ways to alleviate PSD.
Interventions that tail to reducing PSF, lowering FOP levels and enhancing resilience may be considered as possible ways to alleviate PSD.
This study enriched the literature by exploring the effect of PSF on PSD and further examining the mediating effects of FOP and resilience between PSF and PSD. Findings emphasized the important effects of PSF, FOP and resilience on PSD.
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies was used to guide reporting.
One tertiary hospital assisted participants recruitment.
FreshRSS