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Xu F, Cheng P, Xu J, Wang X, Jiang Z, Zhu H, Fan H, Wang Q, Gao Q. Influencing factors of length of stay among repeatedly hospitalized patients with mood disorders: a longitudinal study in China. Ann Gen Psychiatry 2024; 23:15. [PMID: 38664741 PMCID: PMC11046813 DOI: 10.1186/s12991-024-00497-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/02/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Patients with mood disorders usually require repeated and prolonged hospitalization, resulting in a heavy burden on healthcare resources. This study aims to identify variables associated with length of stay(LOS) of repeatedly hospitalized patients with mood disorders and to provide information for optimizing psychiatry management and healthcare resource allocation. METHODS Electronic medical records (EMRs) of repeatedly hospitalized patients with mood disorders from January 2010 to December 2018 were collected and retrospectively analyzed. Chi-square and t-test were adopted to investigate the differences in characteristics between the two groups of short LOS and long LOS. Generalized estimating equation (GEE) was conducted to investigate potential factors influencing LOS. RESULTS A total of 2,009 repeatedly hospitalized patients with mood disorders were enrolled, of which 797 (39.7%) had a long LOS and 1,212 (60.3%) had a short LOS. Adverse effects of treatment, continuous clinical manifestation, chronic onset type, suicide attempt, comorbidity and use of antidepressants were positively associated with long LOS among all repeatedly hospitalized patients with mood disorders (P < 0.050). For patients with depression, factors associated with long LOS consisted of age, monthly income, adverse effects of treatment, continuous clinical manifestation, suicide attempt and comorbidity (P < 0.050). Whereas, for patients with bipolar disorder (BD), adverse effects of treatment, four or more hospitalizations and use of antidepressants contributed to the long LOS (P < 0.050). Influencing factors of LOS also vary among patients with different effectiveness of treatment. CONCLUSION The LOS in repeatedly hospitalized patients with mood disorders was influenced by multiple factors. There were discrepancies in the factors affecting LOS in patients with different diagnoses and effectiveness of treatment, and specific factors should be addressed when evaluating the LOS.
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Affiliation(s)
- Feng Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen Wai, Beijing, 100069, China
| | - Peixia Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen Wai, Beijing, 100069, China
| | - Jiaying Xu
- Capital Medical University Affiliated Beijing Anding Hospital, Beijing, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen Wai, Beijing, 100069, China
| | - Zhen Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen Wai, Beijing, 100069, China
| | - Huiping Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen Wai, Beijing, 100069, China
| | - Hua Fan
- Capital Medical University Affiliated Beijing Anding Hospital, Beijing, China
| | - Qian Wang
- Capital Medical University Affiliated Beijing Anding Hospital, Beijing, China
| | - Qi Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen Wai, Beijing, 100069, China.
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Khalifeh AH, Alhalaiqa FN, Hamaideh SH, Horne R, Hamdan-Mansour AM. The effect of adherence therapy on medication adherence, health beliefs, self-efficacy, and depressive symptoms among patients diagnosed with major depressive disorder. Int J Ment Health Nurs 2023; 32:778-790. [PMID: 36628477 DOI: 10.1111/inm.13113] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/28/2022] [Indexed: 01/12/2023]
Abstract
Medication adherence is a crucial health issue in major depressive disorder (MDD) that requires regular monitoring and attention. Hence, there are multiple reasons for medication non-adherence among them. This study aimed to examine the effect of adherence therapy (AT) on medication adherence, health beliefs, self-efficacy, and depressive symptoms among patients diagnosed with MDD. One group pretest-posttest, repeated measures time-series design was conducted. A sample of 32 patients was recruited conveniently; they received eight weekly sessions of AT. A self-reported questionnaire was used to measure variables. The analysis showed that the mean scores of the baseline indicated non-adherence, moderate general benefits beliefs about the medication, high beliefs that medication is harmful, high beliefs that doctors overuse medication, high beliefs about potential adverse effects from medication, low perception of MDD severity, and high threatening perception regarding MDD, a moderate degree of confidence in the ability to taking medications, and patients had moderately severe depressive symptoms (M = 16, 3.2, 3.1, 4.1, 3.8, 50, 3, 16 respectively). Over four measurement points, adherence therapy enhanced positive beliefs towards taking medication and illness, increased medication adherence self-efficacy, improved medication adherence, and decreased depressive symptoms (F = 68.57-379.2, P < 0.001). These improvements were clinically significant in all variables immediately post-AT but declined minimally over time. The study indicated that integrating AT as part of the pre-discharge protocol is one core component to sustaining positive healthcare outcomes. Continuous efforts should be paid in terms of the long-term sustainability of an intervention to enhance adherence and clinical outcomes.
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Affiliation(s)
| | | | - Shaher Hamad Hamaideh
- Community and Mental Health Nursing Department, Faculty of Nursing-The Hashemite University, Zarqa, Jordan
| | - Robert Horne
- Department of Practice and Policy, Centre for Behavioural Medicine, School of Pharmacy, University College London, London, UK
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Lyu Q, Zhou X, Shi LQ, Chen HY, Lu M, Ma XD, Ren L. Exosomes may be the carrier of acupuncture treatment for major depressive disorder. Front Behav Neurosci 2023; 17:1107265. [PMID: 36873772 PMCID: PMC9978012 DOI: 10.3389/fnbeh.2023.1107265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/01/2023] [Indexed: 02/18/2023] Open
Abstract
The incidence of major depressive disorder (MDD) is increasing all over the world. There is a great need for complementary or alternative therapies with high safety, few side effects, and precise efficacy to care for MDD. In China, acupuncture has significant laboratory data and clinical trials to demonstrate its antidepressant efficacy. However, there is no clear answer as to how it works. Exosomes are membranous vesicles that rely on cellular multivesicular bodies (MVBs) fused to the cell membrane for release into the extracellular matrix. Almost all cell types are capable of producing and releasing exosomes. As a result, exosomes contain complex RNAs and proteins from their relatives (Cells that secretes exosomes). They can cross biological barriers and participate in biological activities, such as cell migration, angiogenesis, and immune regulation. These properties have made them a popular research topic. Some experts have suggested that exosomes may serve as delivery vehicles for acupuncture to work. This presents both an opportunity and a new challenge for improving the protocols of acupuncture as a treatment for MDD. To better define the relationship between MDD, exosomes, and acupuncture, we reviewed the literature from the last few years. Inclusion criteria included randomized controlled trials and basic trials evaluating acupuncture in the treatment or prevention of MDD, the role of exosomes in the development and progression of MDD, and the role of exosomes in acupuncture. We believe that acupuncture may affect the distribution of exosomes in vivo, and exosomes may be a new carrier for acupuncture treatment of MDD in the future.
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Affiliation(s)
- Qin Lyu
- Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Xin Zhou
- Department of Acupuncture and Moxibustion, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Liu-Qing Shi
- Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Hai-Yang Chen
- Department of Acupuncture and Moxibustion, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Mei Lu
- Department of Acupuncture and Moxibustion, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Xian-De Ma
- Teaching and Experiment Center, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Lu Ren
- Graduate School, Liaoning University of Traditional Chinese Medicine, Shenyang, China
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Wang H, Liao Y, Guo L, Zhang H, Zhang Y, Lai W, Teopiz KM, Song W, Zhu D, Li L, Lu C, Fan B, McIntyre RS. Association between childhood trauma and medication adherence among patients with major depressive disorder: the moderating role of resilience. BMC Psychiatry 2022; 22:644. [PMID: 36241986 PMCID: PMC9563806 DOI: 10.1186/s12888-022-04297-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/04/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Suboptimal medication adherence is a major reason for failure in the management of major depressive disorder (MDD), childhood trauma might be an essential risk factor of suboptimal medication adherence. This study aimed to comprehensively explore the associations between different types of childhood trauma and medication adherence among patients with MDD, and to test whether resilience has moderating effects on the foregoing associations. METHODS Participants were from the Depression Cohort in China (ChiCTR registry number 1900022145), 282 MDD patients with completed both baseline and 12-weeks follow-up investigations were included in this study. The diagnosis of MDD was assessed by trained psychiatrists using the Mini-International Neuropsychiatric Interview (M.I.N.I.). Childhood trauma was evaluated using the Childhood Trauma Questionnaire-28 item Short Form (CTQ-SF), and resilience was evaluated using the Connor-Davidson Resilience Scale (CD-RISC). Demographic characteristics, depression symptoms, anxiety symptoms, suicidal ideation, suicidal attempt, insomnia symptoms, and painful somatic symptoms were also investigated. Participants were divided into groups of optimal and suboptimal adherence based on their Medication Adherence Rating Scale scores. Logistic regression and stratified analyses were performed. RESULTS A total of 234 participants (83%) reported suboptimal medication adherence. After adjusting for covariates, CTQ total scores (AOR = 1.03, 95%CI = 1.01-1.06), CTQ measures of sexual abuse (AOR = 1.17, 95%CI = 1.01-1.37), and CTQ measures of physical neglect (AOR = 1.12, 95%CI = 1.02-1.23) were all associated with an increased likelihood of suboptimal adherence. There were significant moderating effects of resilience on the associations of childhood trauma (P = 0.039) and physical neglect (P = 0.034) with medication adherence. The stratification analyses showed that CTQ total scores and CTQ measures of physical neglect were independently associated with an increased risk of suboptimal adherence among patients with MDD with low-resilience or moderate-resilience, while not significantly associated with suboptimal adherence in those with high-resilience. CONCLUSION Childhood trauma was a significant risk factor of suboptimal adherence among patients with MDD, and resilience moderated the foregoing association. Obtaining a history of childhood trauma and assessing resilience may help identify patients with suboptimal adherence when providing MDD pharmacotherapy. Psychiatrists may consider enhancing resilience to cope with the adverse effects of childhood trauma on medication adherence.
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Affiliation(s)
- Hongqiong Wang
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China
| | - Yuhua Liao
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China ,grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Lan Guo
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China
| | - Huimin Zhang
- grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Yingli Zhang
- grid.452897.50000 0004 6091 8446Department of Depressive Disorder, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, People’s Republic of China
| | - Wenjian Lai
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080 People’s Republic of China ,grid.12981.330000 0001 2360 039XGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People’s Republic of China ,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People’s Republic of China
| | - Kayla M. Teopiz
- grid.17063.330000 0001 2157 2938Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8 Canada
| | - Weidong Song
- grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Dongjian Zhu
- grid.512745.00000 0004 8015 6661Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000 People’s Republic of China
| | - Lingjiang Li
- grid.216417.70000 0001 0379 7164Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Rd 2, Guangzhou, 510080, People's Republic of China. .,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, People's Republic of China. .,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, People's Republic of China.
| | - Beifang Fan
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, 7Huaming road, Shenzhen, 518000, People's Republic of China.
| | - Roger S. McIntyre
- grid.17063.330000 0001 2157 2938Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8 Canada ,grid.231844.80000 0004 0474 0428Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8 Canada
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