ArticleHealth research policy and systems2020
Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study.
Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Factors influencing work performance and prospective mobile health applications among village health support groups: a formative study for i-MoMCARE development to enhance maternal, newborn, and child healthcare in Cambodia.Human resources for health · 2025Article
- Identifying households with children who have complex needs: a segmentation model for integrated care systems.BMC health services research · 2025Article
- Supporting professionals to implement integrated, person-centered care for people with chronic conditions: the TARGET pilot study.Scandinavian journal of primary health care · 2023Review
- Article
- Construction and validation of an aging-related gene signature predicting the prognosis of pancreatic cancer.Frontiers in genetics · 2023Article
- Article
- Using Personas as a Tool for People-Centred Segmentation and Health Systems Planning in Ontario, Canada.International journal of integrated careArticle
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Authors and funding
5 authors.
Funding
Abstract
backgroundVarious population segmentation tools have been developed to inform the design of interventions that improve population health. However, there has been little consensus on the core indicators and purposes of population segmentation. The existing frameworks were further limited by their applicability in different practice settings involving stakeholders at all levels. The aim of this study was to generate a comprehensive set of indicators and purposes of population segmentation based on the experience and perspectives of key stakeholders involved in population health.
methodsWe conducted in-depth semi-structured interviews using purposive sampling with key stakeholders (e.g. government officials, healthcare professionals, social service providers, researchers) involved in population health at three distinct levels (micro, meso, macro) in Singapore. The interviews were audio-recorded and transcribed verbatim. Thematic content analysis was undertaken using NVivo 12.
resultsA total of 25 interviews were conducted. Eight core indicators (demographic characteristics, economic characteristics, behavioural characteristics, disease state, functional status, organisation of care, psychosocial factors and service needs of patients) and 21 sub-indicators were identified. Age and financial status were commonly stated as important indicators that could potentially be used for population segmentation across three levels of participants. Six intended purposes for population segmentation included improving health outcomes, planning for resource allocation, optimising healthcare utilisation, enhancing psychosocial and behavioural outcomes, strengthening preventive efforts and driving policy changes. There was consensus that planning for resource allocation and improving health outcomes were considered two of the most important purposes for population segmentation.
conclusionsOur findings shed light on the need for a more person-centric population segmentation framework that incorporates upstream and holistic indicators to be able to measure population health outcomes and to plan for appropriate resource allocation. Core elements of the framework may apply to other healthcare settings and systems responsible for improving population health.
trial registrationThe study was approved by the SingHealth Institutional Review Board (CIRB Reference number: 2017/2597).
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