High-quality medication compliance is critical for the cure of pulmonary tuberculosis (PTB); however, the implementation of directly observed treatment (DOT) under direct interview still faces huge difficulties. Assessment of the effect of digital tool during community management has not been performed in eastern China.
All drug-sensitive PTB cases notified in Yiwu city from June to December 2020 were divided into the routine group and digital tool group based on patients\' willingness. The variables influencing the on-time completion level of home visits, medication adherence and treatment outcomes were estimated.
A total of 599 eligible patients were enrolled, with 268 participating in the routine group and 331 using a digital tool. Most participants were men (n = 357, 59.6%), and nearly all were new cases (n = 563, 94.0%). Participants\' mean age was 44.22 ± 20.32 years. There were significant differences in age, diagnostic type, and source of patients between the two groups. During the study period, the digital tool group had a higher on-time completion rate of home visits (91.5% vs. 82.5%) and medication adherence rate (94.3% vs. 89.6%) than the routine group, whereas there was no significant difference in the treatment success rate between the two groups (91.2% vs. 86.8%). Multivariate logistic regression analysis demonstrated that the digital tool group showed a more positive function in the on-time completion status of home visits, with an adjusted odds ratio of 0.41 (95% confidence interval: 0.25-0.70).
Digital tools can be employed to improve the on-time completion rate of home visits in Yiwu city. Further large-scale studies that use digital tools for community management are warranted.

Diabetes mellitus is a prevalent and potentially devastating chronic illness affecting many older adults. Given spousal involvement in many aspects of diabetes management, coping with their partners is increasingly seen as a potential solution to make up for limited resources. This study aimed to identify the key conditions for optimal implementation of couple-based collaborative management model (CCMM) among Chinese older couples with type 2 diabetes mellitus.
Older couples and community healthcare practitioners were selected according to couples\' joint intervention attendance rate and community\'s average attendance rate. This mixed methods research consisted of a qualitative phase and a quantitative phase. In the qualitative phase, in-depth interviews were conducted among 12 pairs of couples in the intervention group and 4 corresponding practitioners, in the follow-up period of the multicentered RCT from January to April 2022. Qualitative comparative analysis (QCA) in the quantitative phase to identify conditions influencing CCMM\'s implementation and to explore necessary and sufficient combinations of conditions (i.e., solutions) for improving patients\' glycated hemoglobin (HbA1c) control (outcome).
Key conditions included implementation process, couple\'s role in diabetes management, their belief and perception of CCMM, as well as objective obstacles and subjective initiative for behavior change. Accordingly, major barriers in CCMM\'s implementation were patients\' strong autonomy (particularly among husbands), misbelief and misperception about diabetes management as a result of low literacy, and mistrust of the practitioners. QCA further revealed that no single condition was necessary for effective HbA1c control, while three types of their combinations would be sufficient. Solution 1 and 2 both comprised the presence of spousal willingness to help, plus correct belief and perception of diabetes management, well embodying the utility of couple collaborative management in supporting patients\' HbA1c control. On the other hand, solution 3 indicated that high-quality implementation even without spousal support, can promote the patient\'s subjective initiative to overcome objective obstacles, suggesting enhanced self-management for HbA1c control.
Tailored CCMM should be implemented in reference to older couple\'s preferences and literacy levels, to ensure intervention fidelity, and establish correct understanding of collaborative management among them.

Background: Nowadays, mental health problems have become a major concern affecting economic and social development, with severe mental health disorders being the top priority. In 2013, Beijing began to implement the Community Free-Medication Service policy (CFMS). This article aims to evaluate the effect of the policy on medication adherence. Methods: In this study, multi-stage sampling was used to select representative patients as samples. Some of the baseline data were obtained by consulting the archives, and information about patient medication adherence measured by Brooks Medication Adherence Scale was obtained through face-to-face interviews. Logistic regression was used to examine the impact of the policy. Results: Policy participation had a significant positive impact on medication adherence (OR = 1.557). The effect of policy participation on medication adherence in the Medication-only mode and Subsidy-only mode were highly significant, but it was not significant in the Mixed mode. Conclusion: This study found that the CFMS in Beijing as an intervention is effective in improving the medication adherence of community patients. However, the impact of the policy is not consistent among service modes. Reinforcement magnitude and frequency should be considered when designing reinforcement interventions.

To examine measures for managing mentally disordered patients in communities, this study aimed to examine the association between medication adherence (MA) and disease stability (DS), and their area variations in a sample of 145,860 patients with severe mental disorders in 19 municipalities during 2006-2013 in southwest China. The rates of stability and adherence varied from 27.7-64.4% to 28.8-63.6%, respectively, over the same period. MA was positively associated with DS (adjusted odds ratio = 1.39, 95% confidence interval 1.29-1.51). Large variations in the rate of DS and MA among municipalities could reflect management differences at this level.

OBJECTIVE: The analysis of factors affecting the nonadherence to antihypertensive medications is important in the control of blood pressure among patients with hypertension. The purpose of this study was to assess the relationship between factors and medication adherence in Xinjiang community-managed patients with hypertension based on the principal component analysis.
METHODS: A total of 1,916 community-managed patients with hypertension, selected randomly through a multi-stage sampling, participated in the survey. Self-designed questionnaires were used to classify the participants as either adherent or nonadherent to their medication regimen. A principal component analysis was used in order to eliminate the correlation between factors. Factors related to nonadherence were analyzed by using a χ2-test and a binary logistic regression model.
RESULTS: This study extracted nine common factors, with a cumulative variance contribution rate of 63.6%. Further analysis revealed that the following variables were significantly related to nonadherence: severity of disease, community management, diabetes, and taking traditional medications.
CONCLUSIONS: Community management plays an important role in improving the patients\' medication-taking behavior. Regular medication regimen instruction and better community management services through community-level have the potential to reduce nonadherence. Mild hypertensive patients should be monitored by community health care providers.

This study aimed to evaluate the glycemic levels in Chinese patients with type 2 diabetes mellitus (T2DM) and to explore the factors related to the results of glycemic control. A total of 2454 T2DM patients from 11 communities were examined for glycosylated hemoglobin levels and glycemic control options. Potential factors related to the results of glycemic control were analyzed using logistic regression. Of all the patients, 55.3 % achieved the glycemic control target of HbA1c < 7 %. Multivariate analysis showed that male sex (OR 1.345, 95 % CI 1.022-1.769; P = 0.034), higher levels of fasting blood glucose (OR 1.954, 95 % CI 1.778-2.147; P < 0.001), and low-density lipoprotein cholesterol (OR 1.181, 95 % CI 1.020-1.367; P = 0.026) were significantly associated with poor glycemic control. The complexity of antidiabetics was also associated with poor glycemic control (P < 0.05). Compared to diet and exercise, insulin injection was most strongly associated with poor glycemic control (OR 6.210, 95 % CI 4.054-9.514; P < 0.001). Male patients with higher levels of total cholesterol, lower levels of high-density lipoprotein cholesterol, or longer diabetic durations showed poor glycemic control, which was not found in female patients. Glycemic control was not satisfactory in T2DM patients of Nanjing communities. Various factors are associated with poor results of glycemic control.