An empirically validated framework for measuring patient’s acceptability of health care in Multi-Island Micro States

Author:

Brizan-St. Martin Roxanne1ORCID,St. Martin Chaney2ORCID,La Foucade Althea1,Sarti Flavia Mori3ORCID,McLean Roger4

Affiliation:

1. Department of Economics, Faculty of Social Sciences, The University of the West Indies, St. Augustine , Trinidad and Tobago

2. Climate Action and Agricultural Sustainability Program, Inter-American Institute for Cooperation in Agriculture (IICA) , 16 Factory Road Building #3, Brechin Castle, Couva, Trinidad and Tobago

3. School of Arts, Sciences and Humanities, Universidade de Sao Paulo , Av Arlindo Béttio, 1000, Sao Paulo, SP 03828-000, Brazil

4. HEU, Centre for Health Economics, The University of the West Indies, St. Augustine , Trinidad and Tobago

Abstract

AbstractMeasuring health-care acceptability presents conceptual and contextual challenges, particularly in data-poor Multi-Island Micro States (MIMSs). Thus, there has been limited evidence on the acceptability of health care in MIMS and scarce use of acceptability metrics in policy design and health system evaluation. In the present study, we developed and empirically validated a theoretical framework for measuring users’ acceptability of health care in a MIMS in the Caribbean. Using a minimum-data approach, we used a synoptic review of health-care literature and consultations with experts and health system stakeholders to define, scope and select constructs for the theoretical framework of health-care acceptability. Empirical validation of the modelled framework was performed using data collected from household expenditure and health-care utilization surveys in Carriacou and Petite Martinique (n = 226), island dependents of Grenada in the Caribbean. Data were used to create health utilization profiles and analyse measurement scales of the health-care acceptability framework using non-linear partial least square structural equation modelling. The modelled framework included 17 items integrating economic and psychosocial concepts, with 1 dependent construct (utilization) and 3 independent constructs (users’ perception, experience and knowledge of health facility). Model analysis and validation indicated that the framework was significant, explaining 19% of the variation in health-care acceptability. Users’ experience construct was influenced by perception and knowledge of health facility and was the only construct with a significant negative relationship with acceptability. Health-care acceptability declined with increased waiting and travel times and unsuitable opening hours. We conclude that acceptability comprises a complex multidimensional concept, which is highly dependent on various interacting variables and contextual characteristics of the health system. Therefore, policies and actions to improve acceptability should be context specific and focused on evaluating factors infringing health-care acceptability. Routine acceptability and/or satisfaction studies represent baseline evidence towards understanding and integrating acceptability in health-care assessment.

Funder

School for Graduate Studies & Research, The University of the West Indies, St. Augustine.

Publisher

Oxford University Press (OUP)

Subject

Health Policy

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4. Modelling the supply of ecosystem services from agriculture: a minimum-data approach;Antle;Australian Journal of Agricultural and Resource Economics,2006

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