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Liu CC, Liu CH, Wang JY, Chang KC. Health-care utilization among dementia patients with or without comorbid depression in Taiwan: A nationwide population-based longitudinal study. Int J Geriatr Psychiatry 2023; 38:e5889. [PMID: 36773286 DOI: 10.1002/gps.5889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 01/26/2023] [Indexed: 02/01/2023]
Abstract
BACKGROUND Few studies have examined the association of comorbid depression with health-care utilization among dementia patients. This study compared health-care utilization between dementia patients with and without comorbid depression. METHODS Using Taiwan's National Health Insurance Research Database, we identified 10,710 patients with newly diagnosed dementia between 2005 and 2014: 1785 had comorbid depression (group 1) and 8925 did not (group 2). Patients were tracked for 1 year to evaluate outpatient, emergency, and inpatient service utilization and length of hospital stay (LOS). Multivariable regression was applied to examine the association between comorbid depression and health-care utilization and analyze factors associated with inpatient visits and LOS. RESULTS Group 1 had significantly fewer outpatient visits (β = -0.115; p < 0.001), more inpatient visits (β = 0.157; p = 0.005), and a longer LOS (β = 0.191; p < 0.001) than did group 2. The groups did not differ significantly in emergency visits (β = 0.030; p = 0.537). In group 1, age, gender, and specific comorbidities were predictors of inpatient visits; those factors and salary-based insurance premiums were predictors of LOS. CONCLUSION Group 1 utilized less outpatient care but more inpatient care, suggesting health-care service for these patients may be needed to improvement.
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Affiliation(s)
- Chih-Ching Liu
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Chien-Hui Liu
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,New Taipei City Fire Department, Division of Emergency Medical Service, New Taipei, Taiwan
| | - Jiun-Yi Wang
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan.,Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Kun-Chia Chang
- Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan, Taiwan.,Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Orsini LS, O'Connor SJ, Mohwinckel MT, Marwood L, Pahwa AS, Bryder MN, Dong X, Levine SP. Observational study to characterize treatment-resistant depression in Germany, France and the United Kingdom: analysis of real-world data collected through a survey of healthcare professionals. Curr Med Res Opin 2022; 38:2219-2226. [PMID: 36106382 DOI: 10.1080/03007995.2022.2113692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE This study describes treatment patterns, productivity, healthcare resource utilization and previous episodes of depression for patients with treatment-resistant depression (TRD). METHODS In this cross-sectional study, a quantitative survey was administered to 225 healthcare providers (HCPs) distributed evenly across Germany, France and the UK from July to August 2021. Each HCP was asked to answer based on medical records of five patients with TRD, defined as patients failing to respond to two or more treatments of adequate dose and duration in the same episode of major depressive disorder (MDD), which provided a sample size of 1125 patients. RESULTS Of the 1125 patients with TRD, 73.2% had two or more previous episodes of MDD, 46.3% had a history of suicidal ideation and 24.8% had attempted suicide. Only 26.8% of patients were employed either full-time or part-time. During the most recent/current TRD episode, 45.5% of patients received five or more lines of treatment, and 46.0% remained on monotherapy. For multiple pharmacological treatments, too many distinct combinations were used to discern trends. Overall, 60.6% of patients had at least one mental health-related hospitalization in the last 12 months; 35.0% had two or more hospitalizations. Half of TRD patients saw a doctor five or more times per year for their depression. CONCLUSIONS This study addresses the knowledge gap about treatment patterns and healthcare utilization in real-world practice for TRD patients in three European countries. It provides data that potentially could inform treatment guideline development and optimize patient-perceived benefits from the treatment of TRD.
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Affiliation(s)
| | | | | | | | - Ankit S Pahwa
- ICON PLC, ICON Commercialization and Outcomes, Bangalore, India
| | - Matti N Bryder
- ICON PLC, ICON Commercialization and Outcomes, Solna, Sweden
| | - Xinzhe Dong
- ICON PLC, ICON Commercialization and Outcomes, Vancouver, Canada
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Chan VKY, Cheung ECL, Chan SSM, Knapp M, Hayes JF, Fan M, Lai FTT, Luo H, Lum T, Wong RSM, Lau LKW, Wan EYF, Wong GHY, Chan EWY, Ip P, Wong ICK, Li X. Mortality-causing mechanisms and healthcare resource utilisation of treatment-resistant depression: A six-year population-based cohort study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 22:100426. [PMID: 35637863 PMCID: PMC9142753 DOI: 10.1016/j.lanwpc.2022.100426] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Background Few studies investigated the mechanisms of treatment-resistant depression (TRD) leading to the worsened survival outcome, and economic evidence was mostly restricted to short follow-ups. We aimed to examine the association and potential mediators between TRD and all-cause mortality, and estimate a longer-term associated health resource utilisation pattern. Methods This was a population-based cohort study using territory-wide electronic medical records in Hong Kong. Incident depression patients diagnosed in 2014 were followed up from the first diagnosis to death or December 2019 for TRD identification. We matched the TRD cohort 1:4 to the non-TRD cohort on propensity scores estimated by age, sex, history of physical disorders, and history of psychiatric conditions before depression diagnoses. Findings 18% of incident patients developed TRD within six years of follow-up. Cox model showed that patients with TRD had 1⋅52-fold (95% CI: 1⋅14-2⋅02) greater risk of all-cause mortality, compared with non-TRD patients. Path analysis suggested that post-TRD psychiatric conditions significantly mediated 41⋅6% of mortality in patients with TRD (p=0.003). TRD was associated with 1⋅8-fold (95%CI: 1⋅63-2⋅00) higher healthcare costs compared to non-TRD patients over six years in negative binomial regression, with higher costs for both psychiatric and non-psychiatric services utilisation in all settings. Interpretation Identifying patients with TRD and subsequent monitoring for post-TRD psychiatric diagnoses could be a way to reduce premature mortality. Multidisciplinary care involving both psychiatric and general medical professionals is also warranted to relieve the multifaceted impacts on healthcare resources and overall cost. Funding Unconditional educational grant from Janssen.
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Affiliation(s)
- Vivien KY Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Edmund CL Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Sandra SM Chan
- Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Martin Knapp
- Department of Health Policy, London School of Economics and Political Science, United Kingdom
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Joseph F Hayes
- Division of Psychiatry, Faculty of Brain Sciences, University College London, United Kingdom
| | - Min Fan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco TT Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong SAR, China
| | - Hao Luo
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Terry Lum
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Rosa SM Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Lauren KW Lau
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Eric YF Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Gloria HY Wong
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Esther WY Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian CK Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong SAR, China
- Research Department of Policy and Practice, University College London School of Pharmacy, London, United Kingdom
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, Hong Kong SAR, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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