Selecting contextually appropriate performance indicators in a circumpolar context: a modified Delphi approach.

BMC Health Serv Res

School of Public Health, University of Alberta, 3-279 Edmonton Clinic Health Academy, 11405 - 87 Ave NW, Edmonton, AB, T6G 1C9, Canada.

Published: May 2021

Background: Meaningful performance measurement requires indicators to be scientifically robust and strategically focused. For many circumpolar states, indicators aligned with national strategies may ignore the priorities of northern, remote, or Indigenous populations. The aim of this project was to identify contextually appropriate performance indicators for maternity care in circumpolar regions.

Methods: Fourteen maternity care and health systems experts participated in a modified Delphi consensus process. The list of proposed indicators was derived from a previously published scoping review. Fourteen participants rated each proposed indicator according to importance, circumpolar relevance, validity, and reliability and suggested additional indicators for consideration.

Results: Consensus was achieved after two rounds, as measured by a Cronbach's alpha of 0.87. Eleven indicators, many of which represented physical health outcomes, were ranked highly on all four criteria. Twenty-nine additional indicators, largely focused on social determinants of health, health care responsiveness, and accessibility, were identified for further research. Travel for care, cultural safety and upstream structural determinants of health were identified as important themes.

Conclusions: This study identified the important gaps between current performance measurement strategies and the context and values that permeate maternal-child health in circumpolar regions. The indicators identified in this study provide an important foundation for ongoing work. We recommend that future work encompass an appreciation for the intersectoral nature of social, structural, and colonial determinants of maternal-child health in circumpolar regions.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166122PMC
http://dx.doi.org/10.1186/s12913-021-06485-2DOI Listing

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