posted on 2024-12-16, 17:34authored byYanshang Wang, Dan Guo, Yiqi Xia, Mingzheng Hu, Ming Wang, Qianqian Yu, Zhansheng Li, Xiaoyi Zhang, Ruoxi Ding, Miaomiao Zhao, Zhenyu Shi, Dawei Zhu, Ping He
<p dir="ltr">OBJECTIVE</p><p dir="ltr">To develop a care model for patients with both diabetes and depression and assess effectiveness.</p><p dir="ltr">RESEARCH DESIGN AND METHODS</p><p dir="ltr">In this pragmatic cluster-randomized trial, we allocated 8 community health centers into two groups: enhanced usual care and intervention group. In the intervention group, a comprehensive care plan was developed based on the integrated care model. We recruited individuals aged 18 years or older with type 2 diabetes and depression (PHQ-9 ≥ 10). The primary outcome was the between-group difference in the percentage of patients who had at least a 50% reduction in depressive symptoms and a reduction of at least 0.5 percentage points in HbA1c. We performed the outcome analysis within the intention-to-treat population, with missing data being multiply imputed.</p><p dir="ltr">RESULTS</p><p dir="ltr">We enrolled 630 participants, with 275 in intervention group and 355 in control group. We observed significant greater percentage of patients in the intervention group who met the primary outcome at 12 months (depressive symptoms: <a href="" target="_blank">risk difference (</a>RD) 31.03% [62.06% vs. 31.02%, 95% CI = 21.85%-40.21%], HbA1c: RD 19.16%, [32.41% vs. 13.25%, 95% CI = 11.35% to 26.97%]). The patients in the intervention group showed significant enhancements in mental quality of life (<a href="" target="_blank">mean difference (</a>MD) 6.74 [46.57 vs. 39.83, 95% CI = 3.75-9.74]), diabetes self-care activities (MD 0.69 [3.46 vs. 2.78, 95% CI = 0.52-0.86]), medication adherence (MD 0.72 [6.49 vs. 5.78, 95% CI = 0.37-1.07]) and experience of care MD 0.89 [3.84 vs. 2.95, 95% CI = 0.65-1.12]) at 12 months. Rural participants benefited more from the intervention.</p><p dir="ltr">CONCLUSIONS</p><p dir="ltr">The implementation strategy can serve as a valuable blueprint in the identification and management of patients with physical and mental multimorbidity in primary healthcare settings.</p><p><br></p>
Funding
This work is supported by the Beijing Municipal Natural Science Foundation (9212009) and the Major Project of the National Social Science Fund of China (21&ZD187). The funding source was not involved in the design, conduct, or reporting of the knowledge synthesis.