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Validation of Two Quality of Care Measures: Results from a Longitudinal Study of Reversible Contraceptive Users in India.
Studies in Family Planning ( IF 1.9 ) Pub Date : 2019-05-23 , DOI: 10.1111/sifp.12093
Aparna Jain , Kumudha Aruldas , Arupendra Mozumdar , Elizabeth Tobey , Rajib Acharya

Bruce's quality of care framework, developed nearly three decades ago, brought needed international attention to family planning services. Various data collection efforts exist to measure the quality of contraceptive services. Our study validates two process quality measures and tests their predictive validity related to contraceptive continuation among 2,699 married women who started to use a reversible contraceptive method in India. We assessed four process quality domains with 22 items, which were reduced to 10 items using exploratory factor analysis. Weighted additive indices were calculated for the 22‐ and 10‐item measures. Scores were trichotomized into high, medium, and low process quality received. The predictive validity of the two measures was assessed related to modern contraceptive continuation three months later. The adjusted odds of continuing a modern contraceptive three months later was nearly three times greater (AOR: 2.78; 95% CI: 1.83–4.03) for women who received high process quality at enrollment compared with low quality with the 22‐item measure, and 2.2 times greater (95% CI: 1.46–3.26) with the 10‐item measure. Results suggest that the 22‐ and 10‐item measures are valid, and while the larger 22‐item measure can be used in special studies, the 10‐item measure is more suited for routine data collection and monitoring.

中文翻译:

两种护理质量措施的验证:来自印度可逆性避孕使用者纵向研究的结果。

布鲁斯(Bruce)的护理质量框架是在近三十年前开发的,已引起国际社会对计划生育服务的关注。存在各种数据收集工作以测量避孕服务的质量。我们的研究验证了两个过程质量指标,并在印度开始使用可逆避孕方法的2699名已婚妇女中测试了其与避孕持续性相关的预测效度。我们用22个项目评估了四个过程质量域,使用探索性因子分析将其减少到10个项目。计算了22个和10个项目的加权加性指数。将分数分为高,中和低过程质量。在三个月后评估了这两种措施与现代避孕措施的持续性有关的预测有效性。三个月后继续服用现代避孕药的调整后几率比采用22项措施评估为低质量的女性,在入组时获得较高质量的女性高出近三倍(AOR:2.78; 95%CI:1.83-4.03),并且使用10个项目的指标大2.2倍(95%CI:1.46-3.26)。结果表明22和10项指标是有效的,虽然较大的22项指标可以用于特殊研究,但10项指标更适合常规数据收集和监控。
更新日期:2019-05-23
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