“你可以饿着肚子睡觉,只是为了买药”:应用以患者为中心的累积复杂性模型来探索肯尼亚患者如何管理高血压护理的终身工作量

IF 1.8 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Ruth Willis , Daniel Mbuthia , Mary Gichagua , Jacinta Nzinga , Carl May , Peter Mugo , Adrianna Murphy
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引用次数: 0

摘要

本研究应用累积复杂性模型来检查肯尼亚公共卫生系统中抗高血压药物处方后高血压管理的患者经历。该研究以肯尼亚中部的Kiambu县为背景,在2022年11月至2023年4月期间,在四个有目的地选择的公共设施中对患者(n = 24)、护理人员(n = 7)和非参与性观察进行了绑架分析。患者为降低血压承担了三种“工作”:接受高血压诊断的处理工作及其慢性维度;管理护理和药物的实际工作,以及管理情绪的工作。患者能力的四个相互关联的领域影响患者做这项工作的能力:个人财务资源;物理功能;社会支持和宗教信仰。治疗费用和药物供应的变化增加了患者的工作量。当工作量超过治疗能力时,治疗依从性中断。治疗中断导致负反馈循环,进一步降低了患者的承受能力。认识到工作量和能力的时间变化是了解资源受限环境下治疗依从性的关键。考虑自适应反代理可以强化治疗负担模型。我们鼓励政策制定者优先解决治疗负担,以支持治疗依从性和持续的高血压控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
‘You can sleep hungry just to buy the medicine’: Applying a patient-centred model of cumulative complexity to explore how patients manage the lifelong workload of hypertension care in Kenya
This research applies the Cumulative Complexity model to examine patient experiences of hypertension management following prescription of anti-hypertensive medication in the public health system in Kenya. Set in Kiambu County, central Kenya, it draws on abductive analysis of interviews with patients (n = 24), caregivers (n = 7) and non-participant observation in four purposively selected public facilities conducted between November 2022 and April 2023. Patients undertook three kinds of ‘work’ to reduce their blood pressure: processing work to accept hypertension diagnosis and its chronic dimension; practical work managing care and medications, and work of managing emotions. Four inter-related domains of patient capacity influenced patients' ability to do this work: individual financial resources; physical functioning; social support and religious faith. Variations in treatment cost and medicine availability increased patient workload. When workload overwhelmed capacity treatment adherence was interrupted. Interruptions in treatment resulted in negative feedback loops further reducing patient capacity. Recognising temporal variability in workload and capacity is key to understand treatment adherence in resource constrained settings. Consideration of adaptive counter-agency can strengthen treatment burden models. We encourage policy makers to prioritise addressing treatment burdens to support treatment adherence and sustained hypertension control.
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CiteScore
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