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

Measuring 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.

Evaluating the performance of GIS methodologies for quantifying spatial accessibility to healthcare in Multi-Island Micro States (MIMS).

There has been limited information on spatial accessibility to healthcare in Multi-island Micro States (MIMS). This is partly due to the application of methodologies that do not sufficiently consider the dynamic or unique characteristics of MIMS. The objective of the paper is to evaluate the performance of different Geographic Information Systems (GIS) methodologies for quantifying spatial accessibility to public healthcare in Multi-island States (MIMS). Spatial accessibility was measured using three GIS-based methodologies: Temporally Available Two-Step Floating Catchment Area (TA2SFCA) and traditional models [Two-Step Floating Catchment Area (2SFCA) and the Gravity Model]. Unlike the Gravity Model and the 2SFCA which only used population and health facilities locations along with travel times to quantify spatial accessibility, the TA2SFCA also included information on the hours of operations and health schedules in its assessment. These additional variables were used to develop the time windows to assess differences in capacity among available service sites. TA2SFCA results showed that spatial accessibility was linked to a 'traveling doctor' dynamic with access to healthcare services reflecting changes in the supply of services. As such, the Gravity Model and 2SFCA which did not account for this peculiarity were inadequate for measuring spatial accessibility in MIMS. The TA2SFCA addressed both the temporal and spatial aspects of health which were most reflective of the health system of these islands. Given the spatial-temporal dynamics, improving accessibility to healthcare requires periodic assessments and reassessments of health service delivery since this is affected by operating times and changes in capacity. Furthermore, there is the need for more research to develop methodologies that are more reflective or sensitive to MIMS dynamics.