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Sun Y, Yu H, Wang Z, Zhang J, Zhou Y, Cui W, Jiang W. Relationship between medication burden and medication experience in stable patients with schizophrenia: the mediating effect of medication belief. BMC Nurs 2024; 23:197. [PMID: 38519927 PMCID: PMC10958954 DOI: 10.1186/s12912-024-01882-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 03/19/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Individuals with schizophrenia require prolonged antipsychotic medication treatment. But more than 50% of individuals with schizophrenia experience adverse medication experiences during their antipsychotic treatments. Such individuals often adjust or discontinue medication, leading to disease relapse and impaired social functioning. Psychiatric nurses should pay close attention to the medication experiences of individuals with schizophrenia. This research explore the relationship between medication burden and medication experience, as well as the mediating effect of medication belief in stable patients with schizophrenia. METHODS A convenience sample of hospitalized stable patients with schizophrenia were selected from Daqing Third Hospital and Baiyupao Hospital from September 2023 to December 2023. A survey was conducted with them using a questionnaire consisting of general information questionnaire, The Subjective Well-being Under Neuroleptic Treatment Scale(SWN), The Living with Medicines Questionnaire(LMQ), Beliefs about Medicines Questionnaire-Specific (BMQ-Specific). Pearson correlation analysis was used to explore the correlation between LMQ, BMQ-Specific and SWN scores, and multiple linear regression analysis was used to explore the influencing factors of medication experience in patients with schizophrenia. AMOS 24.0 was used to construct the structural equation modeling(SEM), and the mediation effect of the SEM was tested using Bootstrap method. RESULTS According to the sample size calculation requirements of structural equation model, a total of 300 samples were required in this study, and 400 effective questionnaires were actually collected in this study, which met the sample size requirements for constructing structural equation models. Bootstrap test showed that the mediation effect was significant. The total effect of medication burden on medication experience was significant (Z=-12.146, 95%CI (-0.577, -0.417), P < 0.001). The indirect effect of medication burden on medication experience, that is, the mediating effect of medication belief was significant (Z=-4.839, 95%CI (-0.217, -0.096), P < 0.001). The direct effect of medication burden on medication experience was significant (Z=-7.565, 95%CI (-0.437, -0.257), P < 0.001). This model belongs to partial mediation model. CONCLUSIONS Psychiatric nurses can enhance the patients' medication experience by reducing medication burden and strengthening medication beliefs. Therefore, the results also provide theoretical references and decision-making foundations for psychiatric nursing professionals to develop appropriate management strategies for individuals with schizophrenia.
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Affiliation(s)
- Yujing Sun
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hong Yu
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Zhengjun Wang
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Jing Zhang
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yuqiu Zhou
- Department of Nursing, Harbin Medical University Daqing Campus, Daqing, China
| | - Wenming Cui
- The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
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Taylor M, Dangelo-Kemp D, Liu D, Kisely S, Graham S, Hartmann J, Colman S. Antipsychotic utilisation and persistence in Australia: A nationwide 5-year study. Aust N Z J Psychiatry 2022; 56:1155-1163. [PMID: 34657454 DOI: 10.1177/00048674211051618] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVES To evaluate the utilisation and persistence of antipsychotics for the treatment of schizophrenia in Australia. METHODS A retrospective study using the Australian Pharmaceutical Benefits Scheme database of a representative 10% sample. All adults with schizophrenia who were dispensed three or more supplies of oral (including clozapine) or long-acting injectable antipsychotics between 1 June 2015 and 31 May 2020 were included. Persistence time in treatment was evaluated using survival analysis and Cox hazard ratios. RESULTS In all, 26,847 adults with schizophrenia were studied. Oral second-generation antipsychotics were more frequently dispensed than the other antipsychotic groups studied. Median treatment persistence times were 18.3 months for second-generation antipsychotic long-acting injectables, 10.7 months for oral second-generation antipsychotics and were significantly lower for both formulations of first-generation antipsychotics at 5.2 months (long-acting injectables) and 3.7 months (oral). The median persistence time for clozapine was significantly longer than all other antipsychotics groups. CONCLUSIONS Oral second-generation antipsychotics and second-generation antipsychotic long-acting injectables accounted for over 75% and 13% of all antipsychotics in Australia, respectively. Concerns over medication adherence and subsequent relapse have not translated into increased long-acting injectable usage despite their significantly longer persistence. Clozapine, the single most 'persistent' antipsychotic, was only used in 9% of people, although up to a third of all cases are likely to be treatment-resistant. Our data suggest clinicians should give consideration to the earlier use of second-generation antipsychotic long-acting injectables and clozapine, to ameliorate prognosis in schizophrenia.
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Affiliation(s)
- Mark Taylor
- The University of Queensland, Brisbane, QLD, Australia.,Toowong Specialist Clinic, Toowong, QLD, Australia
| | | | - Dennis Liu
- Northern Mental Health Service, Salisbury, SA, Australia.,The University of Adelaide, Adelaide, SA, Australia
| | - Steve Kisely
- The University of Queensland, Brisbane, QLD, Australia
| | | | | | - Sam Colman
- Labcorp Drug Development, Sydney, NSW, Australia
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Jin L, Chen Y, Zhu J, Huang Q, Li B, Xu Y, Xi R, Lu W. The Willingness of Community Psychiatric Management Physicians to Preferentially Recommend Long-Acting Injections in Beijing. Front Public Health 2021; 9:779563. [PMID: 34869192 PMCID: PMC8639574 DOI: 10.3389/fpubh.2021.779563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 10/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Severe mental disorders (SMD) impose a heavy burden on individuals, society, and the country. Under the background of deinstitutionalization, more and more patients return to the community, and the community psychiatric management physicians (CPMP) play an essential role in this process. Long-acting injection (LAI) is an important way to improve compliance and reduce re-hospitalization. Some districts in Beijing have implemented the policy of free LAI. This article aims to find out the willingness of CPMP to preferentially recommend LAI and provide suggestions for follow-up promotion. Methods: All CPMP in 16 districts of Beijing were surveyed. A self-made electronic questionnaire was used to investigate the willingness to recommend LAI in priority. Descriptive statistics, Chi-square test, and logistic regression were used to analyze the data. Results: The willingness of CPMP to preferentially recommend LAI is up to 80%. Participants aged 40–49, female, with higher self-evaluation of psychiatric management knowledge, managing patients who have used LAI in the past, and working in communities with the free LAI policy have higher willingness to recommend LAI in priority. Conclusion: CPMP in Beijing have a positive attitude toward LAI, and most of them have the willingness to recommend LAI to the patients in priority. The recommendation willingness is the basis of prescription decision-making. Therefore, the coverage of free LAI policy should be further expanded in the future to improve the recommendation willingness and thus improve the injection rate of LAI.
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Affiliation(s)
- Lefan Jin
- School of Public Health, Capital Medical University, Beijing, China.,Research Center for Capital Health Management and Policy, Beijing, China
| | - Yun Chen
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Policy Research Office, Beijing Institute of Mental Health, Beijing, China
| | - Junli Zhu
- School of Public Health, Capital Medical University, Beijing, China.,Research Center for Capital Health Management and Policy, Beijing, China
| | - Qingzhi Huang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Policy Research Office, Beijing Institute of Mental Health, Beijing, China
| | - Bin Li
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Policy Research Office, Beijing Institute of Mental Health, Beijing, China
| | - Ying Xu
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Policy Research Office, Beijing Institute of Mental Health, Beijing, China
| | - Rui Xi
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Policy Research Office, Beijing Institute of Mental Health, Beijing, China
| | - Wei Lu
- School of Public Health, Capital Medical University, Beijing, China.,Research Center for Capital Health Management and Policy, Beijing, China
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Rubio JM, Malhotra AK, Kane JM. Towards a framework to develop neuroimaging biomarkers of relapse in schizophrenia. Behav Brain Res 2021; 402:113099. [PMID: 33417996 DOI: 10.1016/j.bbr.2020.113099] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/16/2020] [Accepted: 12/27/2020] [Indexed: 12/31/2022]
Abstract
Schizophrenia is a chronic disorder that often requires long-term relapse-prevention treatment. This treatment is effective for most individuals, yet approximately 20-30 % of them may still relapse despite confirmed adherence. Alternatively, for about 15 % it may be safe to discontinue medications over the long term, but since there are no means to identify who those individuals will be, the recommendation is that all individuals receive long-term relapse-prevention treatment with antipsychotic maintenance. Thus, the current approach to prevent relapse in schizophrenia may be suboptimal for over one third of individuals, either by being insufficient to protect against relapse, or by unnecessarily exposing them to medication side effects. There is great need to identify biomarkers of relapse in schizophrenia to stratify treatment according to the risk and develop therapeutics targeting its pathophysiology. In order to develop a line of research that meets those needs, it is necessary to create a framework by identifying the challenges to this type of study as well as potential areas for biomarker identification and development. In this manuscript we review the literature to create such a framework.
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Affiliation(s)
- Jose M Rubio
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Center for Psychiatric Neuroscience, Manhasset, NY, USA.
| | - Anil K Malhotra
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Center for Psychiatric Neuroscience, Manhasset, NY, USA
| | - John M Kane
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Center for Psychiatric Neuroscience, Manhasset, NY, USA
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