SynthesisSystematic reviews2019
Population segmentation based on healthcare needs: a systematic review.
Synthesis in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
60 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Mapping Healthcare Needs: A Systematic Review of Population Stratification Tools.Medical sciences (Basel, Switzerland) · 2025Pooled it
- Population risk stratification tools and interventions for chronic disease management in primary care: a systematic literature review.BMC health services research · 2025Pooled it
- Frequent attenders in primary health care in Finland: use of primary care services and patient characteristics.Scandinavian journal of primary health care · 2026Article
- Competent and compassionate, but not leading? A cross-sectional study of nursing's brand image in the German public.BMC nursing · 2026Article
- Systemic Health System Measurement Framework: An Approach Based on the Unified Care Model for Whole Systems Transformation.Healthcare (Basel, Switzerland) · 2026Article
- A Novel Primary Care Planning Informatics Tool Informed by Data-Driven Multimorbidity Grouping: User-Centered Design and Feasibility Testing.JMIR formative research · 2025Article
- So what? Elevating the impact of implementation science.Implementation science communications · 2025Article
- Leveraging Customer Data Platforms for Public Health: a Strategic Perspective.Journal of medical systems · 2025Article
- Systemic Population Segmentation Based on the Unified Care Model: An Approach to Health System Transformation.Healthcare (Basel, Switzerland) · 2025Article
- Perceived Quality-of-Life Importance Among Saudi Gynecologic Cancer Survivors: Latent Class Analysis.Current oncology (Toronto, Ont.) · 2025Article
- Using population risk prediction for healthcare planning: a qualitative study of healthcare planners' experiences and views.Journal of public health (Oxford, England) · 2025Article
- The PopGrouper as a tool for morbidity adjustment in regional comparisons of health care: an analytical framework.Research in health services & regions · 2025Article
- Primary and Emergency Care Use: The Roles of Health Literacy, Patient Activation, and Sleep Quality in a Latent Profile Analysis.Behavioral sciences (Basel, Switzerland) · 2025Article
- Linked survey and statutory health insurance data evaluating healthcare utilization patterns and associated factors of persons with diabetes in Germany - latent class analysis.Scientific reports · 2025Article
- Development and validation of a brief assessment of normative health and health-related social needs using the Simple Segmentation Tool.BMC health services research · 2025Article
- Article
- Identifying households with children who have complex needs: a segmentation model for integrated care systems.BMC health services research · 2025Article
- Impact of family doctor system on diabetic patients with distinct service utilisation patterns: a difference-in-differences analysis based on group-based trajectory modelling.BMJ global health · 2024Article
- Comparing natural language processing representations of coded disease sequences for prediction in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- How predictive of future healthcare utilisation and mortality is data-driven population segmentation based on healthcare utilisation and chronic condition comorbidity?BMC public health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare needs-based population segmentation is a promising approach for enabling the development and evaluation of integrated healthcare service models that meet healthcare needs. However, healthcare policymakers interested in understanding adult population healthcare needs may not be aware of suitable population segmentation tools available for use in the literature and barring better-known alternatives, may reinvent the wheel by creating and validating their own tools rather than adapting available tools in the literature. Therefore, we undertook a systematic review to identify all available tools which operationalize healthcare need-based population segmentation, to help inform policymakers developing population-level health service programmes.
methodsUsing search terms reflecting concepts of population, healthcare need and segmentation, we systematically reviewed and included articles containing healthcare need-based adult population segmentation tools in PubMed, CINAHL and Web of Science databases. We included tools comprising mutually exclusive segments with prognostic value for clinically relevant outcomes. An updated secondary search on the PubMed database was also conducted as the last search was conducted 2 years ago. All identified tools were characterized in terms of segment formulation, segmentation base, whether they received peer-reviewed validation, requirement for comprehensive electronic medical records, proprietary status and number of segments.
resultsA total of 16 unique tools were identified from systematically reviewing 9970 articles. Peer-reviewed validation studies were found for 9 of these tools. DISCUSSION AND
conclusionsThe underlying segmentation basis of most identified tools was found to be conceptually comparable to each other which suggests a broad recognition of archetypical patient overall healthcare need profiles. While many tools operate based on administrative record data, it is noted that healthcare systems without comprehensive electronic medical records would benefit from tools which segment populations through primary data collection. Future work could therefore include development and validation of such primary data collection-based tools. While this study is limited by exclusion of non-English literature, the identified and characterized tools will nonetheless facilitate efforts by policymakers to improve patient-centred care through development and evaluation of services tailored for specific populations segmented by these tools.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.