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Understanding potentially avoidable hospitalisations in a rural Australian setting from the perspectives of patients and health professionals: a qualitative study and logic model

BACKGROUND: Potentially avoidable hospitalisations (PAHs) are proxy measures of effective primary care at a population level. PAHs are higher in rural and disadvantaged areas. This qualitative study sought a deeper understanding of PAHs for chronic health conditions in a rural context from the persp...

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Detalles Bibliográficos
Autores principales: Glenister, Kristen, Archbold, Tessa, Moran, Anna, Kidd, David, Wilson, Sue, Disler, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241033/
https://www.ncbi.nlm.nih.gov/pubmed/37440860
http://dx.doi.org/10.1136/ihj-2021-000124
Descripción
Sumario:BACKGROUND: Potentially avoidable hospitalisations (PAHs) are proxy measures of effective primary care at a population level. PAHs are higher in rural and disadvantaged areas. This qualitative study sought a deeper understanding of PAHs for chronic health conditions in a rural context from the perspectives of patients and health professionals, and aimed to develop a logic model for rural health services to identify intervention targets. METHODS: Patients with chronic obstructive pulmonary disease, congestive cardiac failure or type 2 diabetes, admitted to a rural hospital in Australia and local health professionals were invited to participate in interviews in late 2019. Semistructured interviews were recorded, transcribed verbatim and thematically analysed. Themes were mapped against a programme logic model developed in a similar study. RESULTS: patients and 16 health professionals participated. The logic model encompassed patient level (knowledge, skills, health status), provider level (workforce availability, attributes) and system level (clinical pathways) contexts. These contexts influenced key mechanisms of relationships, continuity of care and capacity to offer services. Outcomes included responsive and timely access to care, improved clinical outcomes and resource use. Themes that did not readily map to the logic model included socioeconomic disadvantage and healthcare costs, which influenced affordability and equity of access. CONCLUSION: Patients’ complex health and social circumstance, health service access and unclear care pathways were strong themes associated with PAH in this rural context. Patient, provider and system contexts influencing key mechanisms and outcomes need to be understood when designing solutions to address PAHs in rural settings. Ideally, interventions should address the cost of healthcare alongside interventions to enhance relationships, continuity of care and capacity to offer services.