학술논문

Comparability of family planning quality of care measurement tools in low-and-middle income country settings: a systematic review.
Document Type
Article
Source
Reproductive Health. 10/30/2021, Vol. 18 Issue 1, p1-11. 11p.
Subject
*FAMILY planning
*MEDICAL quality control
*ONLINE information services
*STATISTICS
*MIDDLE-income countries
*MEDICAL information storage & retrieval systems
*SYSTEMATIC reviews
*LOW-income countries
*QUALITY assurance
*DESCRIPTIVE statistics
*MEDLINE
*DATA analysis
Language
ISSN
1742-4755
Abstract
Background: In low-and-middle income countries (LMICs), accurate measures of the elements of quality care provided by a health worker through family planning services (also known as process quality) are required to ensure family's contraceptives needs are being met. There are many tools used to assess family planning process quality of care (QoC) but no one standardized method. Those measuring QoC in LMICs should select an appropriate tool based the program context and financial/logistical parameters, but they require data on how well each tool measures routine clinical care. We aim to synthesize the literature on validity/comparability of family planning process QoC measurement tools through a quantitative systematic review with no meta-analysis. Methods: We searched six literature databases for studies that compared quality measurements from different tools using quantitative statistics such as sensitivity/specificity, kappa statistic or absolute difference. We extracted the comparative measure along with other relevant study information, organized by quality indicator domain (e.g. counseling and privacy), and then classified the measure by low, medium, and high agreement. Results: We screened 8172 articles and identified eight for analysis. Studies comparing quality measurements from simulated clients, direct observation, client exit interview, provider knowledge quizzes, and medical record review were included. These eight studies were heterogenous in their methods and the measurements compared. There was insufficient data to estimate overall summary measures of validity for the tools. Client exit interviews compared to direct observation or simulated client protocols had the most data and they were a poor proxy of the actual quality care received for many measurements. Conclusion: To measure QoC consistently and accurately in LMICs, standardized tools and measures are needed along with an established method of combining them for a comprehensive picture of quality care. Data on how different tools proxy quality client care will inform these guidelines. Despite the small number of studies found during the review, we described important differences on how tools measure quality of care. Plain language summary: Accurate measures of process quality of care—or how well clinicians deliver services according to standards of care—are important to monitor, evaluate and improve service quality. Periodic surveys of health facilities or provider are the main source of national or regional quality of care data in many low- and middle-income countries. Many tools are used for these surveys: exit interviews with patients, observations of the visits by a clinician-assessor, simulated or mystery patients, and others. Implementers must select the appropriate and feasible tools for their program, context and setting but there is little information on how well different tools measure the same quality of care indicators. This review summarizes the current literature on the validity of measurements from different family planning quality of care tools. We found only eight studies, but we were able to see some differences important to consider when selecting the most appropriate tool. For instance, patients reported different events through an exit interview than what was documented by the assessor during the same visit. Exit interviews may be more appropriate to measure client experience or satisfaction rather than specifics of the care received. Knowing these differences will help implementers choose an appropriate tool depending on the focus of the quality assessment. This review contributes to the body of knowledge on improving quality of care measurements, resulting in better data to improve family planning services for patients. [ABSTRACT FROM AUTHOR]