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

Kristen Glenister, Tessa Archbold, Anna Moran, David Kidd, Sue Wilson, Rebecca Disler
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Abstract

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.

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从患者和卫生专业人员的角度理解澳大利亚农村地区可能避免的住院:定性研究和逻辑模型。
背景:潜在可避免住院(多环芳烃)是在人口水平上有效的初级保健的替代措施。多环芳烃在农村和贫困地区较高。本定性研究旨在从患者和卫生专业人员的角度更深入地了解农村地区多环芳烃对慢性健康状况的影响,并旨在建立农村卫生服务的逻辑模型,以确定干预目标。方法:2019年底,邀请澳大利亚一家农村医院收治的慢性阻塞性肺疾病、充血性心力衰竭或2型糖尿病患者和当地卫生专业人员参与访谈。对半结构化访谈进行记录、逐字抄录并进行主题分析。主题被映射到一个类似研究中开发的程序逻辑模型。结果:患者和16名卫生专业人员参与。逻辑模型包含患者级别(知识、技能、健康状况)、提供者级别(劳动力可用性、属性)和系统级别(临床路径)上下文。这些情况影响到关系的关键机制、护理的连续性和提供服务的能力。结果包括响应性和及时获得护理,改善临床结果和资源利用。不容易映射到逻辑模型的主题包括社会经济劣势和医疗保健成本,这影响了可负担性和获得的公平性。结论:患者复杂的健康和社会环境、卫生服务可及性和不明确的护理途径是该农村地区PAH的重要相关因素。在设计解决农村多环芳烃问题的解决方案时,需要了解影响关键机制和结果的患者、提供者和系统背景。理想情况下,干预措施应解决保健费用问题,同时采取措施加强关系、护理的连续性和提供服务的能力。
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