Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Research and Technical Assistance, Metrics for Management, Oakland, CA, USA.
Int J Gynaecol Obstet. 2019 Jul;146(1):80-87. doi: 10.1002/ijgo.12827. Epub 2019 May 9.
To develop a shortened, valid and reliable scale applicable across multiple settings for routine monitoring of person-centered maternity care (PCMC).
Exploratory analysis was used to generate parsimonious versions of a 30-item PCMC scale in four datasets from cross-sectional surveys conducted between August 2016 and October 2017, involving women aged 15-49 years in Kenya, Ghana and India who had recently given birth. Analysis was informed by expert opinion via a separate online survey of global maternal and child health experts. Items retained in each dataset were compared, and those unique to a single setting removed. The remaining items were pooled and assessed for construct and criterion validity and reliability in each setting.
Thirteen items were retained for a potential multi-setting short PCMC scale, incorporating the domains of dignity and respect, communication and autonomy, and supportive care. Cronbach's alpha for the scale was >0.7 in each setting. Scores on the 13-item scale were correlated with the 30-item scale scores, and with global measures of care satisfaction in Kenya and India.
Analysis yielded a 47% shorter PCMC scale, that showed promise for routine assessment of women's experience of care during childbirth across multiple settings. However, further validation is needed.
开发一种适用于多种环境的简短、有效且可靠的量表,用于常规监测以患者为中心的产时护理(PCMC)。
本研究采用探索性分析,在 2016 年 8 月至 2017 年 10 月期间进行的四项横断面调查中,对 30 项 PCMC 量表的简约版本进行了生成,这些调查涉及肯尼亚、加纳和印度的 15-49 岁最近分娩的妇女。通过对全球母婴健康专家的单独在线调查,专家意见为分析提供了信息。对每个数据集保留的项目进行了比较,并删除了仅适用于单个环境的项目。其余项目被汇集在一起,并在每个环境中评估其结构、标准和可靠性。
保留了 13 项,作为一个潜在的多环境短 PCMC 量表,包括尊严和尊重、沟通和自主权以及支持性护理等领域。该量表在每个环境中的克朗巴赫α系数均大于 0.7。该 13 项量表的评分与 30 项量表评分以及肯尼亚和印度的全球护理满意度测量值相关。
分析得到了一个缩短了 47%的 PCMC 量表,该量表有望在多个环境中常规评估妇女分娩期间的护理体验,但还需要进一步验证。