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BACKGROUND: Some capability dimensions may be more important than others in determining someone's well-being, and these preferences might be dependent on ill-health experience. This study aimed to explore the relative preference weights of the 16 items of the German language version of the OxCAP-MH (Oxford Capability questionnaire-Mental Health) capability instrument and their differences across cohorts with alternative levels of mental ill-health experience. METHODS: A Best-Worst-Scaling (BWS) survey was conducted in Austria among 1) psychiatric patients (direct mental ill-health experience), 2) (mental) healthcare experts (indirect mental ill-health experience), and 3) primary care patients with no mental ill-health experience. Relative importance scores for each item of the German OxCAP-MH instrument were calculated using Hierarchical Bayes estimation. Rank analysis and multivariable linear regression analysis with robust standard errors were used to explore the relative importance of the OxCAP-MH items across the three cohorts. RESULTS: The study included 158 participants with complete cases and acceptable fit statistic. The relative importance scores for the full cohort ranged from 0.76 to 15.72. Findings of the BWS experiment indicated that the items Self-determination and Limitation in daily activities were regarded as the most important for all three cohorts. Freedom of expression was rated significantly less important by psychiatric patients than by the other two cohorts, while Having suitable accommodation appeared significantly less important by the expert cohort. There were no further significant differences in the relative preference weights of OxCAP-MH items between the cohorts or according to gender. CONCLUSIONS: Our study indicates significant between-item but limited mental ill-health related heterogeneity in the relative preference weights of the different capability items within the OxCAP-MH. The findings support the future development of preference-based value sets elicited from the general population for comparative economic evaluation purposes.
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Servicios de Salud Mental , Salud Mental , Teorema de Bayes , Humanos , Calidad de Vida/psicología , Encuestas y CuestionariosRESUMEN
BACKGROUND: There is increasing evidence that assessing outcomes in terms of capability provides information beyond that of health-related quality of life (HRQoL) for outcome evaluation in mental health research and clinical practice. AIMS: To assess similarities and differences in the measurement properties of the ICECAP-A capability measure and Oxford Capabilities Questionnaire for Mental Health (OxCAP-MH) in people with schizophrenia experiencing depression, and compare these measurement properties with those of (a) the EuroQol EQ-5D-5L and EuroQol Visual Analogue Scale (EQ-VAS) and (b) mental health-specific (disease-specific) measures. METHOD: Using data for 100 patients from the UK, measurement properties were compared using correlation analyses, Bland-Altman plots and exploratory factor analysis. Responsiveness was assessed by defining groups who worsened, improved or remained unchanged, based on whether there was a clinically meaningful change in the instrument scores between baseline and 9-month follow-up assessments. RESULTS: The two capability instruments had stronger convergent validity with each other (Spearman's rho = 0.677) than with the HRQoL (rho = 0.354-0.431) or the mental health-specific (rho = 0.481-0.718) instruments. The OxCAP-MH tended to have stronger correlations with mental health-specific instruments than the ICECAP-A, whereas the ICECAP-A had slightly stronger correlation with the EQ-VAS. Change scores on the capability instruments correlated weakly with change scores on the HRQoL scales (rho = 0.131-0.269), but moderately with those on mental health-specific instruments for the ICECAP-A (rho = 0.355-0.451) and moderately/strongly on the OxCAP-MH (rho = 0.437-0.557). CONCLUSIONS: Assessing outcomes in terms of capabilities for people with schizophrenia and depression provided more relevant, mental health-specific information than the EQ-5D-5L or the EQ-VAS. The ICECAP-A and the OxCAP-MH demonstrated similar psychometric properties, but the OxCAP-MH was more correlated with disease-specific instruments.
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QUESTION: The aim was to systematically collate and synthesise existing, publicly available patient-reported outcome measure (PROM) information suitable for quality of life (QOL)/well-being measurement in mental health economic evaluations, with specific focus on their applicability in multisectoral, multinational, multiperson economic evaluations and to develop an electronic PROM compendium with meta-data. STUDY SELECTION AND ANALYSIS: A systematic literature search for non-disease-pecific PROMs and their versions suitable for the measurement of QOL/well-being or recovery was conducted from 2008 to February 2020. Six criteria were applied to judge their suitability in multisectoral, multinational, multiperson economic evaluations: (i) availability of separate adult and child/adolescent versions, (ii) availability of a proxy-completion option, (iii) assessing outcomes beyond health, (iv) availability of translations (≥2 language versions), (v) availability of a preference-based valuation, (vi) availability of value sets in more than one country. FINDINGS: The final ProgrammE in Costing, resource use measurement and outcome valuation for Use in multisectoral National and International health economic evaluAtions (PECUNIA) PROM-MH Compendium includes 204 unique scales, out of which 88 are individual instruments, while the remaining 116 scales belong to 46 PROM families with more than one distinctive version. Out of the total 134 individual PROMs/PROM families, 72% have at least two language versions, 8% measure broader well-being beyond health-related QOL, 11% have preference-based valuation, with multiple country sets available for 60% of these. None of the identified PROMs met all six proposed criteria. CONCLUSIONS: The PECUNIA PROM-MH Compendium provides a unique overview of the relevant PROMs and their linked meta-data, and should be a helpful tool when choosing a suitable instrument for future mental health economic evaluations.
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Medición de Resultados Informados por el Paciente , Calidad de Vida , Adolescente , Adulto , Niño , Análisis Costo-Beneficio , Humanos , Salud Mental , Encuestas y CuestionariosRESUMEN
BACKGROUND: A link between mental health and freedom of choice has long been established, in fact, the loss of freedom of choice is one of the possible defining features of mental disorders. Freedom of choice has internal and external aspects explicitly identified within the capability approach, but received little explicit attention in capability instruments. This study aimed to develop a feasible and linguistically and culturally appropriate Hungarian version of the Oxford CAPabilities questionnaire-Mental Health (OxCAP-MH) for mental health outcome measurement. METHODS: Following forward and back translations, a reconciled Hungarian version of the OxCAP-MH was developed following professional consensus guidelines of the International Society for Pharmacoeconomics and Outcomes Research and the WHO. The wording of the questionnaire underwent cultural and linguistic validation through content analysis of cognitive debriefing interviews with 11 Hungarian speaking mental health patients in 2019. Results were compared with those from the development of the German version and the original English version with special focus on linguistic aspects. RESULTS: Twenty-nine phrases were translated. There were linguistic differences in each question and answer options due to the high number of inflected, affixed words and word fragments that characterize the Hungarian language in general. Major linguistic differences were also revealed between the internal and external aspects of capability freedom of choices which appear much more explicit in the Hungarian than in the English or German languages. A re-analysis of the capability freedom of choice concepts in the existing language versions exposed the need for minor amendments also in the English version in order to allow the development of future culturally, linguistically and conceptually valid translations. CONCLUSION: The internal and external freedom of choice impacts of mental health conditions require different care/policy measures. Their explicit consideration is necessary for the conceptually harmonised operationalisation of the capability approach for (mental) health outcome measurement in diverse cultural and linguistic contexts.
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Lenguaje , Salud Mental , Libertad , Humanos , Hungría , Lingüística , Encuestas y CuestionariosRESUMEN
PURPOSE: Given increasing interest in using the capability approach for health economic evaluations and a growing literature, this paper aims to synthesise current information about the characteristics of capability instruments and their application in health economic evaluations. METHODS: A systematic literature review was conducted to assess studies that contained information on the development, psychometric properties and valuation of capability instruments, or their application in economic evaluations. RESULTS: The review identified 98 studies and 14 instruments for inclusion. There is some evidence on the psychometric properties of most instruments. Most papers found moderate-to-high correlation between health and capability measures, ranging between 0.41 and 0.64. ASCOT, ICECAP-A, -O and -SCM instruments have published valuation sets, most frequently developed using best-worst scaling. Thirteen instruments were originally developed in English and one in Portuguese; however, some translations to other languages are available. Ten economic evaluations using capability instruments were identified. The presentation of results show a lack of consensus regarding the most appropriate way to use capability instruments in economic evaluations with discussion about capability-adjusted life years (CALYs), years of capability equivalence and the trade-off between maximisation of capability versus sufficient capability. CONCLUSION: There has been increasing interest in applying the capability-based approach in health economic evaluations, but methodological and conceptual issues remain. There is still a need for direct comparison of the different capability instruments and for clear guidance on when and how they should be used in economic evaluations.
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Análisis Costo-Beneficio/métodos , Conocimientos, Actitudes y Práctica en Salud , Psicometría/economía , Calidad de Vida/psicología , HumanosRESUMEN
BACKGROUND: The rigid and old-fashioned structure of the Hungarian healthcare system has been discussed since the mid-1990s and is at the center of professional and policy debates. It is characterized by the too high number of acute care hospital beds in international comparison; access is regionally unequal; levels of progressive care are mixed; and there is a nonuniform emergency service system with unequal access to the emergency room, heterogeneous quality of care, and unexploited opportunities of modern health technology (eg, 1-day surgery, minimally invasive procedures, telemedicine). OBJECTIVES: The aim of this study is to analyze the indicators of ongoing structural changes of the Hungarian healthcare system between 2000 and 2017. METHODS: Data are derived from the Organisation for Economic Co-operation and Development Heath Statistics, Hungarian National Statistical Office, National Health Insurance Fund Administration and the database of the European Structural Funds. The methods used for the analysis are descriptive statistics, trend analysis, and longitudinal data. RESULTS: The total number of hospitals beds showed a 32% reduction between 2005 and 2017. Parallel with this subsequent reduction of hospital bed capacities, we can see a moderate reduction (22.3%) in the number of discharged patients from hospitals: from 2005 to 2017, 2.55 million to 1.95 million. The average length of stay in acute hospital care has decreased from 6.3 to 5.1 days. About 25 to 27 small local hospitals lost their acute or short-term care profile (mainly intensive care units, internal medicine, surgery, and pediatric care wards) and became long-term care, chronic care, or rehabilitation profile hospitals. CONCLUSION: Structural change is in progress in the Hungarian healthcare system, and some efficiency gains have been reached. Nevertheless, still there are significant potential efficiency gains in the better organization and management of health services in addition to the dissemination and better incorporation of modern healthcare technologies.
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Atención a la Salud/tendencias , Reforma de la Atención de Salud/normas , Política de Salud , Capacidad de Camas en Hospitales/estadística & datos numéricos , Atención a la Salud/organización & administración , Atención a la Salud/normas , Hospitales/estadística & datos numéricos , Humanos , Hungría , Estudios LongitudinalesRESUMEN
Discrete choice experiments (DCEs) become increasingly popular to value outcomes for health economic studies and gradually gain acceptance as an input into policy decisions. Developing attributes is a key aspect for the design of DCEs, as their results may misguide decision-makers if they are based on an inappropriate set of attributes. However, the area lacks guidance, and current health-related DCE studies vary considerably in their methods of attribute development, with the consequent danger of providing an unreliable input for policy decisions. The aim of this article is to inform the progress toward a more systematic approach to attribute development for DCE studies in health. A systematic review of the published health-related DCE literature was conducted to lay the foundations for a generic framework which was tested in a case study of alcohol misuse interventions. Four stages of a general attribute development process emerged: (i) raw data collection; (ii) data reduction; (iii) removing inappropriate attributes; and (iv) wording. The case study compared and contrasted a qualitative and mixed-methods approach for the development of attributes for DCEs in the area of alcohol misuse interventions. This article provides a reference point for the design of future DCE experiments in health.