Ariadne Labs, Brigham and Women's Hospital & Harvard T.H. Chan School of Public Health, 401 Park Drive, 3rd Floor East, Boston, MA 02215, USA.
Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Int J Qual Health Care. 2021 Aug 20;33(3). doi: 10.1093/intqhc/mzab110.
Person-centeredness is a foundation of high-quality health systems but is poorly measured in low- and middle-income countries (LMICs). We piloted an online survey of four LMICs to identify the prevalence and correlates of excellent patient-reported quality of care (QOC).
The aims of this study were to investigate the examine people's overall ratings of care quality in relation to their experiences seeking care in their respective health systems as well as individual-, provider- and facility-level predictors.
We administered a cross-sectional online survey using Random Domain Intercept Technology to collect a sample of random internet users across India, Kenya, Mexico and Nigeria in November 2016. The primary outcome was patient-reported QOC. Covariates included age, gender, level of education, urban/rural residence, person for whom care was sought, type of provider seen, public or private sector status of the health facility and type of facility. The exposure was an index of health system responsiveness based on a framework from the World Health Organization. We used descriptive statistics to determine the prevalence of excellent patient-reported QOC and multivariable Poisson regression to calculate adjusted prevalence ratios (aPRs) for predictors of excellent patient-reported quality.
Fourteen thousand and eight people completed the survey (22.6% completion rate). Survey respondents tended to be young, male, well-educated and urban-dwelling, reflective of the demographic of the internet-using population. Four thousand one and ninety-one (29.9%) respondents sought care in the prior 6 months. Of those, 21.8% rated their QOC as excellent. The highest proportion of respondents gave the top rating for wait time (44.6%), while the lowest proportion gave the top rating for facility cleanliness (21.7%). In an adjusted analysis, people who experienced the highest level of health system responsiveness were significantly more likely to report excellent QOC compared to those who did not (aPR 8.61, 95% confidence interval [95% CI]: 7.50, 9.89). In the adjusted model, urban-dwelling individuals were less likely to report excellent quality compared to rural-dwelling individuals (aPR 0.88, 95% CI: 0.78, 0.99). People who saw community health workers (aPR 1.37, 95% CI: 1.12, 1.67) and specialists (aPR 1.30, 95% CI: 1.12, 1.50) were more likely to report excellent quality than those who saw primary care providers. High perceived respect from the provider or staff was most highly associated with excellent ratings of quality, while ratings of wait time corresponded the least.
Patient-reported QOC is low in four LMICs, even among a well-educated, young population of internet users. Better health system responsiveness may be associated with better ratings of care quality. Improving person-centered care will be an important component of building high-quality health systems in these LMICs.
以人为中心是高质量卫生系统的基础,但在中低收入国家(LMICs)中衡量不足。我们在四个 LMIC 中进行了一项在线调查,以确定优秀的患者报告的护理质量的患病率和相关性。
本研究旨在调查人们对护理质量的总体评价与他们在各自卫生系统中寻求护理的经验之间的关系,以及个人、提供者和设施层面的预测因素。
我们于 2016 年 11 月使用随机域拦截技术(Random Domain Intercept Technology)进行了一项横断面在线调查,以在印度、肯尼亚、墨西哥和尼日利亚的随机互联网用户中收集样本。主要结局是患者报告的 QOC。协变量包括年龄、性别、教育程度、城乡居住、寻求护理的对象、就诊的提供者类型、卫生机构的公共或私营部门状况以及机构类型。暴露是基于世界卫生组织框架的卫生系统反应能力指数。我们使用描述性统计来确定优秀患者报告的 QOC 的患病率,并使用多变量泊松回归计算优秀患者报告的质量预测因素的调整后患病率比(aPR)。
有 14008 人完成了调查(完成率为 22.6%)。调查对象往往年轻、男性、受教育程度较高且居住在城市,反映了互联网用户的人口特征。其中 4191 人(29.9%)在过去 6 个月内寻求过护理。其中,21.8%的人对他们的 QOC 评价为优秀。比例最高的受访者对等待时间给予了最高评价(44.6%),而比例最低的受访者对设施清洁度给予了最高评价(21.7%)。在调整分析中,经历最高水平的卫生系统反应能力的人报告优秀 QOC 的可能性明显高于没有经历的人(aPR 8.61,95%置信区间[95%CI]:7.50,9.89)。在调整后的模型中,与农村居民相比,城市居民报告优秀质量的可能性较低(aPR 0.88,95%CI:0.78,0.99)。与初级保健提供者相比,看到社区卫生工作者(aPR 1.37,95%CI:1.12,1.67)和专家(aPR 1.30,95%CI:1.12,1.50)的人更有可能报告优秀的质量。提供者或工作人员的高度尊重与高质量评价最相关,而等待时间的评价则相关性最低。
在四个 LMIC 中,即使是在受过良好教育的年轻互联网用户群体中,患者报告的 QOC 也很低。更好的卫生系统反应能力可能与更好的护理质量评价相关。在这些 LMIC 中,以人为本的关怀将是建设高质量卫生系统的重要组成部分。