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BMC Public Health. 2020 Jun 3;20(1):852. doi: 10.1186/s12889-020-09008-6.
3
Towards patient-centred care in Ghana: health system responsiveness, self-rated health and experiential quality in a nationally representative survey.朝着以患者为中心的医疗保健方向发展:在全国代表性调查中,医疗体系的反应性、自我评估的健康状况和体验质量。
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Satisfaction With Healthcare Services Among Patients With Diabetes, Hypertension, and/or Dyslipidemia in Mexico: A Cross-Sectional Study.墨西哥糖尿病、高血压和/或血脂异常患者对医疗保健服务的满意度:一项横断面研究。
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5
Expanding the use of community health workers in urban settings: a potential strategy for progress towards universal health coverage.在城市环境中扩大社区卫生工作者的使用:实现全民健康覆盖的潜在策略。
Health Policy Plan. 2020 Feb 1;35(1):91-101. doi: 10.1093/heapol/czz133.
6
Expectations of healthcare quality: A cross-sectional study of internet users in 12 low- and middle-income countries.医疗保健质量的期望:对 12 个中低收入国家互联网用户的横断面研究。
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7
When the patient is the expert: measuring patient experience and satisfaction with care.当患者成为专家:测量患者对医疗护理的体验和满意度。
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8
The Ongoing Ebola Epidemic in the Democratic Republic of Congo, 2018-2019.2018-2019 年刚果民主共和国持续发生的埃博拉疫情。
N Engl J Med. 2019 Jul 25;381(4):373-383. doi: 10.1056/NEJMsr1904253. Epub 2019 May 29.
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JAMA Intern Med. 2019 Mar 1;179(3):363-372. doi: 10.1001/jamainternmed.2018.6716.
10
Person-centred maternity care in low-income and middle-income countries: analysis of data from Kenya, Ghana, and India.中低收入国家的以人为主的孕产护理:来自肯尼亚、加纳和印度的数据分析。
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中低收入国家患者报告的医疗质量的预测因素:以人为中心的护理四国调查。

Predictors of patient-reported quality of care in low- and middle-income countries: a four-country survey of person-centered care.

机构信息

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.

出版信息

Int J Qual Health Care. 2021 Aug 20;33(3). doi: 10.1093/intqhc/mzab110.

DOI:10.1093/intqhc/mzab110
PMID:34318883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8519224/
Abstract

BACKGROUND

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).

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

背景

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。

目的

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。

方法

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)。

结果

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。

结论

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。