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Slejko JF, Mattingly TJ, Wilson A, Xie R, Chapman RH, Amill-Rosario A, dosReis S. Patient-Informed Value Elements in Cost-Effectiveness Analyses of Major Depressive Disorder Treatment: A Literature Review and Synthesis. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2025; 28:399-405. [PMID: 38852668 DOI: 10.1016/j.jval.2024.05.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 04/24/2024] [Accepted: 05/20/2024] [Indexed: 06/11/2024]
Abstract
OBJECTIVES Prior work identified 6 key value elements (attributes of treatment and desired outcomes) for individuals living with major depressive disorder (MDD) in managing their condition: mode of treatment, time to treatment helpfulness, MDD relief, quality of work, interaction with others, and affordability. The objective of our study was to identify whether previous cost-effectiveness analyses (CEAs) for MDD treatment addressed any of these value elements. A secondary objective was to identify whether any study engaged patients, family members, and caregivers in the model development process. METHODS We conducted a systematic literature review to identify published model-based CEAs. We compared the elements of the published studies with the MDD patient value elements elicited in prior work to identify gaps and areas for future research. RESULTS Of 86 published CEAs, we found that 7 included patient out-of-pocket costs, and 32 included measures of productivity, which were both priorities for individuals with MDD. We found that only 2 studies elicited measures from patients for their model, and 2 studies engaged patients in the modeling process. CONCLUSIONS Published CEA models for MDD treatment do not regularly include value elements that are a priority for this patient population nor do they include patients in their modeling process. Flexible models that can accommodate elements consistent with patient experience are needed, and a multistakeholder engagement approach would help accomplish this.
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Affiliation(s)
- Julia F Slejko
- Patient-Driven Values in Healthcare Evaluation (PAVE) Center, Department of Practice, Sciences and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
| | - T Joseph Mattingly
- Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, UT, USA
| | - Alexandra Wilson
- Patient-Driven Values in Healthcare Evaluation (PAVE) Center, Department of Practice, Sciences and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Richard Xie
- Innovation and Value Initiative, Alexandria, VA, USA
| | | | - Alejandro Amill-Rosario
- Patient-Driven Values in Healthcare Evaluation (PAVE) Center, Department of Practice, Sciences and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Susan dosReis
- Patient-Driven Values in Healthcare Evaluation (PAVE) Center, Department of Practice, Sciences and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
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Aliasin MM, Naghavi E. Letter to the Editor: "The Integration of Behavioral Health and Primary Care for Hispanic/Latino Patients with Depression and Comorbid PTSD". J Behav Health Serv Res 2023; 50:555-557. [PMID: 37131057 PMCID: PMC10153770 DOI: 10.1007/s11414-023-09840-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/09/2023] [Indexed: 05/04/2023]
Affiliation(s)
- Mohammad Mahdi Aliasin
- School of Medicine, Tehran University of Medical Sciences, Poursina St, Tehran, 14176 13151 Iran
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Students’ Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Naghavi
- School of Medicine, Tehran University of Medical Sciences, Poursina St, Tehran, 14176 13151 Iran
- School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Prasartpornsirichoke J, Pityaratstian N, Poolvoralaks C, Sirinimnualkul N, Ormtavesub T, Hiranwattana N, Phonsit S, Rungnirundorn T. The prevalence and economic burden of treatment-resistant depression in Thailand. BMC Public Health 2023; 23:1541. [PMID: 37573321 PMCID: PMC10422729 DOI: 10.1186/s12889-023-16477-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 08/08/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND The objectives of this study were to investigate the proportion of treatment-resistant depression (TRD) among patients with diagnosed major depressive disorder (MDD) and undergoing antidepressant treatment, to estimate the economic cost of MDD, TRD, and non-treatment-resistant depression (non-TRD), and to examine the differences between TRD and non-TRD MDD in a Thai public tertiary hospital. METHODS This was a combined study between retrospective review of medical records and a cross-sectional survey. The sample size was 500 dyads of antidepressant-treated MDD patients and their unpaid caregivers. MDD patients' medical records, the concept of healthcare resource utilization, the Work Productivity and Activity Impairment Questionnaire: depression and mood & mental state versions (WPAI: D, MM), the Class Impairment Questionnaire (CIQ), and the Family Experiences Interview Schedule (FEIS) were applied as the tools of the study. Pearson Chi's square, Fisher's Exact test, and independent T-test were employed for statistical analysis. RESULTS The proportion of TRD was 19.6% among antidepressant-treated MDD patients in a Thai tertiary public hospital. The results of the study indicated that several factors showed a statistically significant association with TRD criteria. These factors included younger age of MDD patients, a younger age of onset of MDD, lower body mass index (BMI), a history of suicide attempts and self-harm, as well as frequent smoking behavior. The annualized economic cost of TRD was 276,059.97 baht per person ($7,668.33), which was significantly higher than that of cost of non-TRD (173,487.04 baht or $4,819.08). The aggregated economic costs of MDD were 96.8 million baht annually ($2.69 M) if calculated from 500 MDD patients and unpaid caregivers. This contributed to the economic cost of TRD 27.05 million baht (98 respondents) and the economic cost of non-TRD 69.74 million baht (402 respondents). CONCLUSIONS The economic burden associated with TRD was significantly higher compared to non-TRD among antidepressant-treated MDD patients. Specifically, both direct medical costs and indirect costs were notably elevated in the TRD group.
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Affiliation(s)
- Jirada Prasartpornsirichoke
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand.
| | - Nuttorn Pityaratstian
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | | | - Naphat Sirinimnualkul
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Excellence Center for Sleep Disorders, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | | | | | - Sasitorn Phonsit
- Department of Psychology, Faculty of Social Sciences, Kasetsart University, Bangkok, Thailand
| | - Teerayuth Rungnirundorn
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
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Belay YB, Engel L, Lee YY, Le N, Mihalopoulos C. Cost Effectiveness of Pharmacological and Non-pharmacological Treatments for Depression in Low- and Middle-Income Countries: A Systematic Literature Review. PHARMACOECONOMICS 2023; 41:651-673. [PMID: 36894798 PMCID: PMC9998021 DOI: 10.1007/s40273-023-01257-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/13/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Various treatment approaches are available for depression. Given the scarcity of healthcare resources, it is important to optimise treatment availability in an efficient manner. Economic evaluations can inform the optimal allocation of healthcare resources. However, there is currently no review synthesising what is known about the cost effectiveness of treatments for depression in low- and middle-income countries (LMICs). METHODS This review identified articles from six database searches: APA PsycINFO, CINAHL Complete, Cochrane Library, EconLit, Embase and MEDLINE Complete. Trial- and model-based economic evaluations published between 1 January 2000 and 3 December 2022 were included. The quality of health economic studies (QHES) instrument was used to assess the quality of the included papers. RESULTS This review comprised 22 articles, with most studies (N = 17) focusing exclusively on the adult population. Even though evidence regarding the cost effectiveness of antidepressants for treating various forms of depression was inconsistent; an atypical antipsychotic (aripiprazole) was frequently reported to be cost effective for treatment-resistant depression. Task shifting (aka task sharing) to lay health workers or non-specialist health care providers appeared to be a cost-effective approach for treating depression in LMICs. CONCLUSIONS Overall, this review found mixed evidence on the cost effectiveness of depression treatment choices among LMICs, with some indication that task sharing with lay health workers may be cost effective. Future research will be needed to fill the gaps around the cost effectiveness of depression treatments in younger people and beyond healthcare facilities.
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Affiliation(s)
- Yared Belete Belay
- School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
- School of Pharmacy, Mekelle University, Mekelle, Ethiopia.
| | - Lidia Engel
- School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
| | - Yong Yi Lee
- School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
- School of Public Health, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Brisbane, Australia
| | - Ngoc Le
- Deakin Health Economics, Deakin University, Melbourne, Australia
| | - Cathrine Mihalopoulos
- School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, VIC, 3004, Australia
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Kazdin AE, Wu CS, Hwang I, Puac-Polanco V, Sampson NA, Al-Hamzawi A, Alonso J, Andrade LH, Benjet C, Caldas-de-Almeida JM, de Girolamo G, de Jonge P, Florescu S, Gureje O, Haro JM, Harris MG, Karam EG, Karam G, Kovess-Masfety V, Lee S, McGrath JJ, Navarro-Mateu F, Nishi D, Oladeji BD, Posada-Villa J, Stein DJ, Üstün TB, Vigo DV, Zarkov Z, Zaslavsky AM, Kessler RC. Antidepressant use in low- middle- and high-income countries: a World Mental Health Surveys report. Psychol Med 2023; 53:1583-1591. [PMID: 37010212 PMCID: PMC10071359 DOI: 10.1017/s0033291721003160] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND The most common treatment for major depressive disorder (MDD) is antidepressant medication (ADM). Results are reported on frequency of ADM use, reasons for use, and perceived effectiveness of use in general population surveys across 20 countries. METHODS Face-to-face interviews with community samples totaling n = 49 919 respondents in the World Health Organization (WHO) World Mental Health (WMH) Surveys asked about ADM use anytime in the prior 12 months in conjunction with validated fully structured diagnostic interviews. Treatment questions were administered independently of diagnoses and asked of all respondents. RESULTS 3.1% of respondents reported ADM use within the past 12 months. In high-income countries (HICs), depression (49.2%) and anxiety (36.4%) were the most common reasons for use. In low- and middle-income countries (LMICs), depression (38.4%) and sleep problems (31.9%) were the most common reasons for use. Prevalence of use was 2-4 times as high in HICs as LMICs across all examined diagnoses. Newer ADMs were proportionally used more often in HICs than LMICs. Across all conditions, ADMs were reported as very effective by 58.8% of users and somewhat effective by an additional 28.3% of users, with both proportions higher in LMICs than HICs. Neither ADM class nor reason for use was a significant predictor of perceived effectiveness. CONCLUSION ADMs are in widespread use and for a variety of conditions including but going beyond depression and anxiety. In a general population sample from multiple LMICs and HICs, ADMs were widely perceived to be either very or somewhat effective by the people who use them.
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Affiliation(s)
- Alan E. Kazdin
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Chi-Shin Wu
- Department of Psychiatry, National Taiwan University Hospital & College of Medicine, Taipei, Taiwan
| | - Irving Hwang
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Victor Puac-Polanco
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Ali Al-Hamzawi
- College of Medicine, Al-Qadisiya University, Diwaniya governorate, Iraq
| | - Jordi Alonso
- Health Services Research Unit, IMIM-Hospital del Mar Medical Research Institute, Barcelona, Spain
- Pompeu Fabra University (UPF), Barcelona, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Laura Helena Andrade
- Núcleo de Epidemiologia Psiquiátrica - LIM 23, Instituto de Psiquiatria Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, Brazil
| | - Corina Benjet
- Department of Epidemiologic and Psychosocial Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - José-Miguel Caldas-de-Almeida
- Lisbon Institute of Global Mental Health and Chronic Diseases Research Center (CEDOC), NOVA Medical School | Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisbon, Portugal
| | | | - Peter de Jonge
- Department of Developmental Psychology, University of Groningen
- Interdisciplinary Center Psychopathology and Emotion Regulation, University Medical Center Groningen, The Netherlands
| | - Silvia Florescu
- National School of Public Health, Management and Development, Bucharest, Romania
| | - Oye Gureje
- Department of Psychiatry, University College Hospital, Ibadan, Nigeria
| | - Josep M. Haro
- Parc Sanitari Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Sant Boi de Llobregat, Barcelona, Spain
| | - Meredith G. Harris
- School of Public Health, The University of Queensland, Herston, QLD 4006, Australia
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, QLD 4072, Australia
| | - Elie G. Karam
- Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Balamand University, Faculty of Medicine, Beirut, Lebanon
- Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
| | - Georges Karam
- Department of Psychiatry and Clinical Psychology, St George Hospital University Medical Center, Balamand University, Faculty of Medicine, Beirut, Lebanon
- Institute for Development, Research, Advocacy and Applied Care (IDRAAC), Beirut, Lebanon
| | - Viviane Kovess-Masfety
- Ecole des Hautes Etudes en Santé Publique (EHESP), EA 4057, Paris Descartes University, Paris, France
| | - Sing Lee
- Department of Psychiatry, Chinese University of Hong Kong, Tai Po, Hong Kong
| | - John J. McGrath
- Queensland Centre for Mental Health Research, The Park Centre for Mental Health, QLD 4072, Australia
- Queensland Brain Institute, The University of Queensland, St Lucia QLD 4065, Australia
- National Centre for Register-based Research, Aarhus University, Aarhus V 8000 Denmark
| | - Fernando Navarro-Mateu
- UDIF-SM, Servicio Murciano de Salud; IMIB-Arrixaca; CIBERESP-Murcia, Región de Murcia, Spain
| | - Daisuke Nishi
- Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- National Center of Neurology and Psychiatry, Tokyo, Japan
| | | | - José Posada-Villa
- Colegio Mayor de Cundinamarca University, Faculty of Social Sciences, Bogota, Colombia
| | - Dan J. Stein
- Department of Psychiatry & Mental Health and South African Medical Council Research Unit on Risk and Resilience in Mental Disorders, University of Cape Town
- Groote Schuur Hospital, Cape Town, Republic of South Africa
| | | | - Daniel V. Vigo
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Zahari Zarkov
- Department of Mental Health, National Center of Public Health and Analyses, Sofia, Bulgaria
| | - Alan M. Zaslavsky
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
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Determinants of effective treatment coverage for major depressive disorder in the WHO World Mental Health Surveys. Int J Ment Health Syst 2022; 16:29. [PMID: 35739598 PMCID: PMC9219212 DOI: 10.1186/s13033-022-00539-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 06/06/2022] [Indexed: 11/22/2022] Open
Abstract
Background Most individuals with major depressive disorder (MDD) receive either no care or inadequate care. The aims of this study is to investigate potential determinants of effective treatment coverage. Methods In order to examine obstacles to providing or receiving care, the type of care received, and the quality and use of that care in a representative sample of individuals with MDD, we analyzed data from 17 WHO World Mental Health Surveys conducted in 15 countries (9 high-income and 6 low/middle-income). Of 35,012 respondents, 3341 had 12-month MDD. We explored the association of socio-economic and demographic characteristics, insurance, and severity with effective treatment coverage and its components, including type of treatment, adequacy of treatment, dose, and adherence. Results High level of education (OR = 1.63; 1.19, 2.24), private insurance (OR = 1.62; 1.06, 2.48), and age (30–59yrs; OR = 1.58; 1.21, 2.07) predicted effective treatment coverage for depression in a multivariable logistic regression model. Exploratory bivariate models further indicate that education may follow a dose—response relation; that people with severe depression are more likely to receive any services, but less likely to receive adequate services; and that in low and middle-income countries, private insurance (the only significant predictor) increased the likelihood of receiving effective treatment coverage four times. Conclusions In the regression models, specific social determinants predicted effective coverage for major depression. Knowing the factors that determine who does and does not receive treatment contributes to improve our understanding of unmet needs and our ability to develop targeted interventions. Supplementary Information The online version contains supplementary material available at 10.1186/s13033-022-00539-6.
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Li M, Bai F, Yao L, Qin Y, Chen K, Xin T, Ma X, Ma Y, Zhou Y, Dai H, Li R, Li X, Yang K. Economic Evaluation of Cognitive Behavioral Therapy for Depression: A Systematic Review. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2022; 25:1030-1041. [PMID: 35422392 DOI: 10.1016/j.jval.2021.11.1379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 11/06/2021] [Accepted: 11/22/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVES This study aimed to conduct a systematic review of cost-utility studies of internet-based and face-to-face cognitive behavioral therapy (CBT) for depression from childhood to adulthood and to examine their reporting and methodological quality. METHODS A structured search for cost-utility studies concerning CBT for depression was performed in 7 comprehensive databases from their inception to July 2020. Two reviewers independently screened the literature, abstracted data, and assessed quality using the Consolidated Health Economic Evaluation Reporting Standards and Quality of Health Economic Studies checklists. The primary outcome was the incremental cost-effectiveness ratio (ICER) across all studies. To make a relevant comparison of the ICERs across the identified studies, cost data were inflated to the year 2020 and converted into US dollars. RESULTS Thirty-eight studies were included in this review, of which 26 studies (68%) were deemed of high methodological quality and 12 studies (32%) of fair quality. Despite differences in study designs and settings, the conclusions of most included studies for adult depression were general agreement; they showed that face-to-face CBT monotherapy or combination therapy compared with antidepressants and usual care for adult depression were cost-effective from the societal, health system, or payer perspective (ICER -$241 212.4/quality-adjusted life-year [QALY] to $33 032.47/QALY, time horizon 12-60 months). Internet-based CBT regardless of guided or unguided also has a significant cost-effectiveness advantage (ICER -$37 717.52/QALY to $73 841.34/QALY, time horizon 3-36 months). In addition, CBT was cost-effective in preventing depression (ICER -$23 932.07/QALY to $26 092.02/QALY, time horizon 9-60 months). Nevertheless, the evidence for the cost-effectiveness of CBT for children and adolescents was still ambiguous. CONCLUSIONS Fair or high-quality evidence showed that CBT monotherapy or combination therapy for adult depression was cost-effective; whether CBT-related therapy was cost-effective for children and adolescents depression remains inconclusive.
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Affiliation(s)
- Meixuan Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Health Technology Assessment Center, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Fei Bai
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; National Center for Medical Service Administration, Beijing, China
| | - Liang Yao
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Yu Qin
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Health Technology Assessment Center, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kaiyue Chen
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Tianjiao Xin
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xiaoya Ma
- The Second School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - YinXia Ma
- The Second School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Yinjuan Zhou
- The Second School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Hui Dai
- The First School of Clinical Medicine Lanzhou University, Lanzhou, China
| | - Rui Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Health Technology Assessment Center, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xiuxia Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Health Technology Assessment Center, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Kehu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Health Technology Assessment Center, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China.
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Altunkaya J, Lee JS, Tsiachristas A, Waite F, Freeman D, Leal J. Appraisal of patient-level health economic models of severe mental illness: systematic review. Br J Psychiatry 2021; 220:1-12. [PMID: 35049466 PMCID: PMC7612275 DOI: 10.1192/bjp.2021.121] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Healthcare decision makers require accurate long-term economic models to evaluate the cost-effectiveness of new mental health interventions. AIMS To assess the suitability of current patient-level economic models to estimate long-term economic outcomes in severe mental illness. METHOD We undertook pre-specified systematic searches in MEDLINE, Embase and PsycINFO to identify reviews and stand-alone publications of economic models of interventions for schizophrenia, bipolar disorder and major depressive disorder (PROSPERO: CRD42020158243). We screened paper titles and abstracts to identify unique patient-level economic models. We conducted a structured extraction of identified models, recording the presence of key predefined model features. Model quality and validation were appraised using the 2014 ISPOR and 2016 AdViSHE model checklists. RESULTS We identified 15 unique patient-level models for psychosis and major depressive disorder from 1481 non-duplicate records. Models addressed schizophrenia (n = 6), bipolar disorder (n = 2) and major depressive disorder (n = 7). The predominant model type was discrete event simulation (n = 9). Model complexity and incorporation of patient heterogeneity varied considerably, and only five models extrapolated costs and outcomes over a lifetime horizon. Key model parameters were often based on low-quality evidence, and checklist quality assessment revealed weak model verification procedures. CONCLUSIONS Existing patient-level economic models of interventions for severe mental illness have considerable limitations. New modelling efforts must be supplemented by the generation of good-quality, contemporary evidence suitable for model building. Combined effort across the research community is required to build and validate economic extrapolation models suitable for accurately assessing the long-term value of new interventions from short-term clinical trial data.
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Affiliation(s)
- James Altunkaya
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jung-Seok Lee
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Apostolos Tsiachristas
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Felicity Waite
- Department of Psychiatry, University of Oxford, UK
- Oxford Health NHS Foundation Trust, UK
| | - Daniel Freeman
- Department of Psychiatry, University of Oxford, UK
- Oxford Health NHS Foundation Trust, UK
| | - José Leal
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Thummathai K, Sethabouppha H, Chanprasit C, Lasuka D. Depression prevention in adolescents based on Buddhism and Sufficiency Economy Philosophy. Arch Psychiatr Nurs 2020; 34:70-74. [PMID: 32035593 DOI: 10.1016/j.apnu.2019.10.005] [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] [Received: 11/29/2018] [Revised: 08/11/2019] [Accepted: 10/18/2019] [Indexed: 11/30/2022]
Abstract
Depression among young adolescents can affect the learning performance and quality of life, and increase suicidal risk. Depression prevention (DP) intervention at the early onset is thus important. The participants were 20 adolescents aged between 10 and 14, 5 parents, and 7 teachers who resided in the same province in northern Thailand. Descriptive statistics were employed for data analysis, while qualitative data from four focus group discussions (FGDs) and 17 in-depth interviews (IDIs) were analyzed through content analysis. The findings revealed that the critical component of depression prevention model for adolescents is self-worth enhancement, which comprises of the enhancement of self-esteem, problem-solving skills, and relaxation based on Buddhism and Sufficiency Economy Philosophy (SEP) for emotional balancing in order to prevent depression in adolescents.
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Affiliation(s)
| | - Hunsa Sethabouppha
- Chiang Mai University, 110/406 Intawaroros Road, Muang District, Chiang Mai 50200, Thailand.
| | - Chawapornpan Chanprasit
- Chiang Mai University, 110/406 Intawaroros Road, Muang District, Chiang Mai 50200, Thailand.
| | - Duangrudee Lasuka
- Chiang Mai University, 110/406 Intawaroros Road, Muang District, Chiang Mai 50200, Thailand.
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Klein NS, Wijnen BFM, Lokkerbol J, Buskens E, Elgersma HJ, van Rijsbergen GD, Slofstra C, Ormel J, Dekker J, de Jong PJ, Nolen WA, Schene AH, Hollon SD, Burger H, Bockting CLH. Cost-effectiveness, cost-utility and the budget impact of antidepressants versus preventive cognitive therapy with or without tapering of antidepressants. BJPsych Open 2019; 5:e12. [PMID: 30762507 PMCID: PMC6381417 DOI: 10.1192/bjo.2018.81] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND As depression has a recurrent course, relapse and recurrence prevention is essential.AimsIn our randomised controlled trial (registered with the Nederlands trial register, identifier: NTR1907), we found that adding preventive cognitive therapy (PCT) to maintenance antidepressants (PCT+AD) yielded substantial protective effects versus antidepressants only in individuals with recurrent depression. Antidepressants were not superior to PCT while tapering antidepressants (PCT/-AD). To inform decision-makers on treatment allocation, we present the corresponding cost-effectiveness, cost-utility and budget impact. METHOD Data were analysed (n = 289) using a societal perspective with 24-months of follow-up, with depression-free days and quality-adjusted life years (QALYs) as health outcomes. Incremental cost-effectiveness ratios were calculated and cost-effectiveness planes and cost-effectiveness acceptability curves were derived to provide information about cost-effectiveness. The budget impact was examined with a health economic simulation model. RESULTS Mean total costs over 24 months were €6814, €10 264 and €13 282 for AD+PCT, antidepressants only and PCT/-AD, respectively. Compared with antidepressants only, PCT+AD resulted in significant improvements in depression-free days but not QALYs. Health gains did not significantly favour antidepressants only versus PCT/-AD. High probabilities were found that PCT+AD versus antidepressants only and antidepressants only versus PCT/-AD were dominant with low willingness-to-pay thresholds. The budget impact analysis showed decreased societal costs for PCT+AD versus antidepressants only and for antidepressants only versus PCT/-AD. CONCLUSIONS Adding PCT to antidepressants is cost-effective over 24 months and PCT with guided tapering of antidepressants in long-term users might result in extra costs. Future studies examining costs and effects of antidepressants versus psychological interventions over a longer period may identify a break-even point where PCT/-AD will become cost-effective.Declaration of interestC.L.H.B. is co-editor of PLOS One and receives no honorarium for this role. She is also co-developer of the Dutch multidisciplinary clinical guideline for anxiety and depression, for which she receives no remuneration. She is a member of the scientific advisory board of the National Insure Institute, for which she receives an honorarium, although this role has no direct relation to this study. C.L.H.B. has presented keynote addresses at conferences, such as the European Psychiatry Association and the European Conference Association, for which she sometimes receives an honorarium. She has presented clinical training workshops, some including a fee. She receives royalties from her books and co-edited books and she developed preventive cognitive therapy on the basis of the cognitive model of A. T. Beck. W.A.N. has received grants from the Netherlands Organisation for Health Research and Development and the European Union and honoraria and speakers' fees from Lundbeck and Aristo Pharma, and has served as a consultant for Daleco Pharma.
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Affiliation(s)
- Nicola S Klein
- PhD Candidate,Department of Clinical Psychology and Experimental Psychopathology,University of Groningen;and Psychologist, Top Referent Traumacentrum,GGZ Drenthe,the Netherlands
| | - Ben F M Wijnen
- Health Economist,Center of Economic Evaluation,Trimbos Institute (Netherlands Institute of Mental Health and Addiction);and Postdoctoral Researcher,Department of Health Services Research,Maastricht University,Care and Public Health Research Institute CAPHRI,the Netherlands
| | - Joran Lokkerbol
- Director, Center of Economic Evaluation,Trimbos Institute (Netherlands Institute of Mental Health and Addiction),the Netherlands;and Harkness Fellow in Health Care Policy and Practice,Department of Health Care Policy,Harvard Medical School,USA
| | - Erik Buskens
- Professor of Health Technology Assessment,Faculty of Economics and Business,University Medical Center Groningen, University of Groningen,the Netherlands
| | - Hermien J Elgersma
- PhD Candidate,Department of Clinical Psychology and Experimental Psychopathology,University of Groningen;and Clinical Psychologist,Accare,the Netherlands
| | - Gerard D van Rijsbergen
- Health Care Psychologist,Department of Early Detection and Intervention in Psychosis,GGZ Drenthe,the Netherlands
| | - Christien Slofstra
- Senior Researcher,Lentis Psychiatric Institute,Lentis Research,the Netherlands
| | - Johan Ormel
- Professor of Psychiatric Epidemiology,University Center for Psychiatry and Interdisciplinary Center Psychiatric Epidemiology,University of Groningen, University Medical Center Groningen,the Netherlands
| | - Jack Dekker
- Professor, Department of Clinical, Neuro and Developmental Psychology,Vrije Universiteit;and Head of Research Department,Arkin Mental Health Institute,the Netherlands
| | - Peter J de Jong
- Professor of Experimental Psychopathology,Chair of Department of Clinical Psychology and Experimental Psychopathology,University of Groningen,the Netherlands
| | - Willem A Nolen
- Emeritus Professor,Department of Psychiatry,University of Groningen, University Medical Center Groningen,the Netherlands
| | - Aart H Schene
- Professor of Psychiatry,Head of the Department of Psychiatry,Radboud University Medical Center;and Principal Investigator,Donders Institute for Brain,Cognition and Behavior,Radboud University,the Netherlands
| | - Steven D Hollon
- Professor of Psychology, Department of Psychology,Vanderbilt University,USA
| | - Huibert Burger
- Associate Professor of Clinical Epidemiology,Department of General Practice,University of Groningen, University Medical Center Groningen;and Associate Professor of Clinical Epidemiology,Amsterdam UMC, location AMC,Department of Psychiatry,University of Amsterdam,the Netherlands
| | - Claudi L H Bockting
- Professor of Clinical Psychology in Psychiatry,Amsterdam UMC, location AMC,Department of Psychiatry,University of Amsterdam,the Netherlands
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Kolovos S, Bosmans JE, Riper H, Chevreul K, Coupé VMH, van Tulder MW. Model-Based Economic Evaluation of Treatments for Depression: A Systematic Literature Review. PHARMACOECONOMICS - OPEN 2017; 1:149-165. [PMID: 29441493 PMCID: PMC5691837 DOI: 10.1007/s41669-017-0014-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND An increasing number of model-based studies that evaluate the cost effectiveness of treatments for depression are being published. These studies have different characteristics and use different simulation methods. OBJECTIVE We aimed to systematically review model-based studies evaluating the cost effectiveness of treatments for depression and examine which modelling technique is most appropriate for simulating the natural course of depression. METHODS The literature search was conducted in the databases PubMed, EMBASE and PsycInfo between 1 January 2002 and 1 October 2016. Studies were eligible if they used a health economic model with quality-adjusted life-years or disability-adjusted life-years as an outcome measure. Data related to various methodological characteristics were extracted from the included studies. The available modelling techniques were evaluated based on 11 predefined criteria. RESULTS This methodological review included 41 model-based studies, of which 21 used decision trees (DTs), 15 used cohort-based state-transition Markov models (CMMs), two used individual-based state-transition models (ISMs), and three used discrete-event simulation (DES) models. Just over half of the studies (54%) evaluated antidepressants compared with a control condition. The data sources, time horizons, cycle lengths, perspectives adopted and number of health states/events all varied widely between the included studies. DTs scored positively in four of the 11 criteria, CMMs in five, ISMs in six, and DES models in seven. CONCLUSION There were substantial methodological differences between the studies. Since the individual history of each patient is important for the prognosis of depression, DES and ISM simulation methods may be more appropriate than the others for a pragmatic representation of the course of depression. However, direct comparisons between the available modelling techniques are necessary to yield firm conclusions.
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Affiliation(s)
- Spyros Kolovos
- Department of Health Sciences, Faculty of Earth and Life Sciences, EMGO+ Institute for Health and Care Research, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
| | - Judith E Bosmans
- Department of Health Sciences, Faculty of Earth and Life Sciences, EMGO+ Institute for Health and Care Research, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
| | - Heleen Riper
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, EMGO+ Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands
| | - Karine Chevreul
- URC Eco Ile de France, AP-HP, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, ECEVE, UMRS 1123, Paris, France
- INSERM, ECEVE, U1123, Paris, France
| | - Veerle M H Coupé
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Maurits W van Tulder
- Department of Health Sciences, Faculty of Earth and Life Sciences, EMGO+ Institute for Health and Care Research, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
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12
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McCann TV, Songprakun W, Stephenson J. Effectiveness of a Guided Self-help Manual in Strengthening Resilience in People Diagnosed with Moderate Depression and Their Family Caregivers in Thailand: A Randomised Controlled Trial. Issues Ment Health Nurs 2017; 38:655-662. [PMID: 28471254 DOI: 10.1080/01612840.2017.1313913] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The growing incidence of depression in developing countries, such as Thailand, is placing increasing pressure on public mental health services, and those living in rural areas have limited access to these services. Resilience is integral to the recovery of people with depression and to caregivers. This parallel-group randomised controlled trial evaluated the effectiveness of a guided self-help manual in improving resilience in adults diagnosed with moderate depression and their primary caregivers in Thailand. Our findings provide preliminary evidence that the approach is an effective way of increasing resilience in adults with depression and their caregivers.
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Affiliation(s)
- Terence V McCann
- a Department of Nursing and Midwifery, Centre for Chronic Disease, College of Health and Biomedicine , Victoria University , Melbourne , Victoria , Australia
| | - Wallapa Songprakun
- b McCormick Faculty of Nursing , Payap University , Chiang Mai , Thailand
| | - John Stephenson
- c School of Human and Health Sciences , University of Huddersfield , Huddersfield , West Yorkshire , UK
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13
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Patel V, Chisholm D, Parikh R, Charlson FJ, Degenhardt L, Dua T, Ferrari AJ, Hyman S, Laxminarayan R, Levin C, Lund C, Medina Mora ME, Petersen I, Scott J, Shidhaye R, Vijayakumar L, Thornicroft G, Whiteford H. Addressing the burden of mental, neurological, and substance use disorders: key messages from Disease Control Priorities, 3rd edition. Lancet 2016; 387:1672-85. [PMID: 26454360 DOI: 10.1016/s0140-6736(15)00390-6] [Citation(s) in RCA: 506] [Impact Index Per Article: 56.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The burden of mental, neurological, and substance use (MNS) disorders increased by 41% between 1990 and 2010 and now accounts for one in every 10 lost years of health globally. This sobering statistic does not take into account the substantial excess mortality associated with these disorders or the social and economic consequences of MNS disorders on affected persons, their caregivers, and society. A wide variety of effective interventions, including drugs, psychological treatments, and social interventions, can prevent and treat MNS disorders. At the population-level platform of service delivery, best practices include legislative measures to restrict access to means of self-harm or suicide and to reduce the availability of and demand for alcohol. At the community-level platform, best practices include life-skills training in schools to build social and emotional competencies. At the health-care-level platform, we identify three delivery channels. Two of these delivery channels are especially relevant from a public health perspective: self-management (eg, web-based psychological therapy for depression and anxiety disorders) and primary care and community outreach (eg, non-specialist health worker delivering psychological and pharmacological management of selected disorders). The third delivery channel, hospital care, which includes specialist services for MNS disorders and first-level hospitals providing other types of services (such as general medicine, HIV, or paediatric care), play an important part for a smaller proportion of cases with severe, refractory, or emergency presentations and for the integration of mental health care in other health-care channels, respectively. The costs of providing a significantly scaled up package of specified cost-effective interventions for prioritised MNS disorders in low-income and lower-middle-income countries is estimated at US$3-4 per head of population per year. Since a substantial proportion of MNS disorders run a chronic and disabling course and adversely affect household welfare, intervention costs should largely be met by government through increased resource allocation and financial protection measures (rather than leaving households to pay out-of-pocket). Moreover, a policy of moving towards universal public finance can also be expected to lead to a far more equitable allocation of public health resources across income groups. Despite this evidence, less than 1% of development assistance for health and government spending on health in low-income and middle-income countries is allocated to the care of people with these disorders. Achieving the health gains associated with prioritised interventions will require not just financial resources, but committed and sustained efforts to address a range of other barriers (such as paucity of human resources, weak governance, and stigma). Ultimately, the goal is to massively increase opportunities for people with MNS disorders to access services without the prospect of discrimination or impoverishment and with the hope of attaining optimal health and social outcomes.
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Affiliation(s)
- Vikram Patel
- London School of Hygiene & Tropical Medicine, London, UK; Public Health Foundation of India, New Delhi, India; Sangath, Goa, India.
| | - Dan Chisholm
- Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
| | | | - Fiona J Charlson
- School of Public Health, University of Queensland, Herston, QLD, Australia; Queensland Centre of Mental Health Research, Wacol, QLD, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Louisa Degenhardt
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; National Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Tarun Dua
- Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
| | - Alize J Ferrari
- School of Public Health, University of Queensland, Herston, QLD, Australia; Queensland Centre of Mental Health Research, Wacol, QLD, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
| | - Steve Hyman
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard and Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Ramanan Laxminarayan
- Center for Disease Dynamics, Economics and Policy, Washington DC, USA; Princeton Environmental Institute, Princeton University, Princeton, NJ, USA; Public Health Foundation of India, New Delhi, India
| | - Carol Levin
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Crick Lund
- Department of Psychiatry and Mental Health, Alan J Flisher Centre for Public Mental Health, University of Cape Town, Cape Town, South Africa; Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Inge Petersen
- School of Applied Human Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - James Scott
- The University of Queensland Centre for Clinical Research, Brisbane, QLD, Australia; Metro North Mental Health, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Rahul Shidhaye
- Public Health Foundation of India, New Delhi, India; CAPHRI School for Public Health and Primary Care, Maastricht University, Netherlands
| | - Lakshmi Vijayakumar
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia; SNEHA, Volunatary Health Services, Chennai, India
| | - Graham Thornicroft
- Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Harvey Whiteford
- School of Public Health, University of Queensland, Herston, QLD, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA
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14
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McCann TV, Songprakun W, Stephenson J. A randomized controlled trial of guided self-help for improving the experience of caring for carers of clients with depression. J Adv Nurs 2015; 71:1600-10. [PMID: 25656334 DOI: 10.1111/jan.12624] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2014] [Indexed: 12/20/2022]
Abstract
AIM To evaluate the effectiveness of a cognitive behaviour therapy guided self-help manual for enhancing the experience of caregiving of family carers of individuals with depression. BACKGROUND The prevalence of depression is increasing markedly in Thailand. While primary carers give most of the support for individuals with depression, they receive little support from mental health services in this critical role. DESIGN A randomized controlled trial. METHOD Carers were randomized to guided self-help (n = 27), while the control group received standard information and support (n = 27). Both groups also received a short weekly telephone call. Participants were assessed at three time points; the outcome measure was the Experience of Caregiving Inventory. A doubly multivariate analysis of variance (anova) procedure, including between-group and within-group factors, was implemented. Fieldwork was from October 2007-May 2008. RESULTS Fifty-four carers completed the study and intent-to-treat analyses were undertaken. The findings showed there was a significant reduction in the total negative experience of caring, from baseline to post-treatment, in the intervention group recipients of the manual compared with the control group and treatment effects were maintained at one-month follow-up. Similarly, a significant improvement in the total positive experience of caring occurred, from baseline to post-treatment, in the intervention group in contrast with the control group and these outcomes were sustained at one-month follow-up. CONCLUSION Guided self-help strengthen carers' positive and reduces their negative, experience of caring. The study contributes to the limited evidence base about this approach in a developing country such as Thailand.
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Affiliation(s)
- Terence V McCann
- Centre for Chronic Disease, College of Health and Biomedicine (Discipline of Mental Health Nursing), Victoria University, Melbourne, Victoria, Australia
| | | | - John Stephenson
- School of Human and Health Sciences, University of Huddersfield, West Yorkshire, UK
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Abstract
Psychotherapy is an effective and often highly cost-effective medical intervention for many serious psychiatric conditions. Psychotherapy can also lead to savings in other medical and societal costs. It is at times the firstline and most important treatment and at other times augments the efficacy of psychotropic medication. Many patients are in need of more prolonged and intensive psychotherapy, including those with personality disorders and those with chronic complex psychiatric conditions often with severe anxiety and depression. Many patients with serious and complex psychiatric illness have experienced severe early life trauma in an atmosphere in which family members or caretakers themselves have serious psychiatric disorders. Children and adolescents with learning disabilities and those with severe psychiatric disorders can also require more than brief treatment. Other diagnostic groups for whom psychotherapy is effective and cost-effective include patients with schizophrenia, anxiety disorders (including posttraumatic stress disorder), depression, and substance abuse. In addition, psychotherapy for the medically ill with concomitant psychiatric illness often lowers medical costs, improves recovery from medical illness, and at times even prolongs life compared to similar patients not given psychotherapy. While "cost-effective" treatments can yield savings in healthcare costs, disability claims, and other societal costs, "cost-effective" by no means translates to "cheap" but instead describes treatments that are clinically effective and provided at a cost that is considered reasonable given the benefit they provide, even if the treatments increase direct expenses. In the current insurance climate in which Mental Health Parity is the law, insurers nonetheless often use their own non-research and non-clinically based medical necessity guidelines to subvert it and limit access to appropriate psychotherapeutic treatments. Many patients, especially those who need extended and intensive psychotherapy, are at risk of receiving substandard care due to inadequate insurance reimbursement. These patients remain vulnerable to residual illness and the concomitant sequelae in lost productivity, dysfunctional interpersonal and family relationships, comorbidity including increased medical and surgical services, and increased mortality.
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Affiliation(s)
- Susan G Lazar
- Clinical Professor of Psychiatry: Georgetown University School of Medicine, George Washington University School of Medicine, Uniformed Services University of the Health Sciences; Supervising and Training Analyst, Washington Psychoanalytic Institute
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