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Guo J, Lv X, Liu Y, Kong L, Qu H, Yue W. Influencing factors of medication adherence in schizophrenic patients: a meta-analysis. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:31. [PMID: 37188714 DOI: 10.1038/s41537-023-00356-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 04/13/2023] [Indexed: 05/17/2023]
Abstract
Medication adherence of schizophrenic patients is a growing public health problem. We conducted a meta-analysis on the influencing factors of medication compliance in schizophrenic patients. We searched PubMed, Embase, Cochrane Library, and Web Of Science for relevant articles published up to December 22, 2022. Combined odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess influencing factors. Egger's test, funnel plot, the trim and fill method, and meta-regression analysis were used to assess publication bias. A total of 20 articles were included in the analysis. Twenty influencing factors were divided into seven categories: drug factors (OR = 1.96, 95% CI: 1.48-2.59), problem behavior (OR = 1.77, 95% CI: 1.43-2.19), income and quality of life (OR = 1.23, 95% CI: 1.08-1.39), personal characteristics (OR = 1.21, 95% CI: 1.14-1.30), disease factors (OR = 1.14, 95% CI: 1.98-1.21), support level (OR = 0.54, 95% CI: 0.42-0.70), and positive attitude and behavior (OR = 0.52, 95% CI: 0.45-0.62). This meta-analysis found that drug factors, disease factors, problem behavior, low income and quality of life, and factors related to personal characteristics appear to be risk factors for medication adherence in people with schizophrenia. And support level, positive attitude and behavior appear to be protective factors.
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Affiliation(s)
- Jing Guo
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, 100191, China
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China
| | - Xue Lv
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, 100191, China
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China
- The First Affiliated Hospital of Xinxiang Medical College, Xinxiang, Henan, 453100, China
| | - Yan Liu
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China
| | - Lingling Kong
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China
| | - Haiying Qu
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China.
| | - Weihua Yue
- Department of Psychology, Medical Humanities Research Center, Binzhou Medical University, Yantai, 264003, China.
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Beijing, 100191, China.
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
- NHC Key Laboratory of Mental Health (Peking University), Beijing, 100191, China.
- The First Affiliated Hospital of Xinxiang Medical College, Xinxiang, Henan, 453100, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
- Chinese Institute for Brain Research, Beijing, 102206, China.
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Aloudah NM, Almanea H, Alotaibi K, Al Rubeaan KA. Quality of diabetes care among patients with schizophrenia. A mixed-methods study. EXPLORATORY RESEARCH IN CLINICAL AND SOCIAL PHARMACY 2021; 4:100070. [PMID: 35479839 PMCID: PMC9029903 DOI: 10.1016/j.rcsop.2021.100070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 09/11/2021] [Accepted: 09/11/2021] [Indexed: 11/09/2022] Open
Abstract
Objectives Patients with schizophrenia are at high risk of developing diabetes. Our study aimed to determine the prevalence of diabetes in patients with schizophrenia and assess their quality of diabetes care. We further aimed to explore the factors affecting diabetes care in patients with schizophrenia. Research design and methods We conducted a retrospective review of medical records for patients presenting with schizophrenia from October 2017 to October 2018. Thereafter, we conducted semi-structured interviews based on the Theoretical Domains Framework to explore healthcare providers' attitudes and perspectives toward diabetes care in patients with schizophrenia at a tertiary hospital for mental health services in Saudi Arabia. Results The prevalence of diabetes in patients with schizophrenia was 3.7%. The rates of annual testing for quality indicators of diabetes were 8.6% for HgbA1c and 31.4% for low-density lipoprotein cholesterol (LDL-C). Screenings for albuminuria and examinations of the eyes and feet were not conducted. Documentation of smoking status was done infrequently (8.6%). The in-depth interviews uncovered issues with managing diabetes in patients with schizophrenia. We identified four themes: the consequences of poor quality diabetic care provided to patients with schizophrenia; problems with the identification of diabetes in patients with schizophrenia; challenges in the management of patients with both diabetes and schizophrenia; and opportunities to improve the quality of diabetes care provided to patients with schizophrenia. Conclusions This study identified areas that need a considerable amount of work to be undertaken in Saudi Arabia to help patients with schizophrenia. There are numerous opportunities for improving the quality of Type 2 diabetes care such as the involvement of pharmacists to effectively manage diabetes and expanding community-based health services to include mental health, which could accelerate improved care services.
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