Mugisha Frederick, Bocar Kouyate, Dong Hengjin, Chepng'eno Gloria, Sauerborn Rainer
African Population and Health Research Center, Nairobi, Kenya.
Bull World Health Organ. 2004 Aug;82(8):572-9. Epub 2004 Sep 13.
To explore the factors that determine whether a patient will initiate treatment within a system of health-care services, and the factors that determine whether the patient will be retained in the chosen system, in Nouna, rural Burkina Faso.
The data used were pooled from four rounds of a household survey conducted in Nouna, rural Burkina Faso. The ongoing demographic surveillance system provided a sampling framework for this survey in which 800 households were sampled using a two-stage cluster sampling procedure. More than one treatment episode was observed for a single episode of illness per patient. The multinomial logit model was used to explore the determinants of patient initiation to systems of modern, traditional and home treatment, and a binary logit model was used to explore the determinants of patient retention within the chosen health-care provider system.
The results suggest that the determinants of patient initiation and their subsequent retention are different. Household income, education, urban residence and expected competency of the provider are positive predictors of initiation, but not of retention, for modern health-care services. Only perceived quality of care positively predicted retention in modern health-care services.
Interventions focusing on patient initiation and patient retention are likely to be different. Policies directed at enhancing initiation for modern health-care services would primarily focus on reducing financial barriers, while those directed at increasing retention would primarily focus on attributes that improve the perceived quality of care.
在布基纳法索农村的努纳,探究决定患者是否会在医疗服务体系内开始治疗的因素,以及决定患者是否会留在所选体系内的因素。
所用数据来自在布基纳法索农村努纳进行的四轮家庭调查。正在进行的人口监测系统为此项调查提供了抽样框架,其中采用两阶段整群抽样程序对800户家庭进行了抽样。每位患者每次患病观察到不止一个治疗阶段。多项logit模型用于探究患者开始接受现代、传统和家庭治疗体系的决定因素,二元logit模型用于探究患者留在所选医疗服务提供体系内的决定因素。
结果表明,患者开始治疗及其后续留存的决定因素有所不同。家庭收入、教育程度、城市居住情况以及对医疗服务提供者预期的能力是患者开始接受现代医疗服务的积极预测因素,但不是留存的预测因素。只有感知到的医疗质量能积极预测患者留在现代医疗服务体系内的情况。
针对患者开始治疗和留存的干预措施可能会有所不同。旨在提高患者开始接受现代医疗服务的政策将主要侧重于减少经济障碍,而旨在提高留存率的政策将主要侧重于改善感知医疗质量的属性。