Evidence map›Paper›PMID 42046080›Full record

ArticleInternational journal for equity in health2026

Targeting equity in early childhood: resource allocation in Sweden's Extended Home Visiting Program.

Sergio Flores, Anna Fäldt, Erik Grönqvist, Filipa Sampaio, Anna Sarkadi

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Article in International journal for equity in health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sergio FloresDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, Uppsala, 751 22, Sweden. sergio.flores@uu.se.
Anna FäldtDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, Uppsala, 751 22, Sweden.
Erik GrönqvistHealth Economics, Department of Medical Sciences, Uppsala University, Centre for Health Economic Research (HEFUU), Uppsala, Sweden.
Filipa SampaioDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, Uppsala, 751 22, Sweden.
Anna SarkadiDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, Uppsala, 751 22, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSweden allocated SEK 354.5 million (approximately EUR 31.5 million) between 2018 and 2022 to extend home visiting services for families in socioeconomically disadvantaged areas. This initiative operationalises proportionate universalism within a decentralised welfare system where 21 regional governments hold authority over healthcare delivery. We examined whether program resources reached areas of greatest need and how targeting varied across regions and over time.

methodsWe analysed Swedish administrative register data aggregated to 12,258 small statistical area-year observations across four implementing regions during each region’s post-rollout period. Program dosage was measured as probability-weighted exposure based on patient registration patterns between areas and child health centres. Socioeconomic need was measured using the Care Need Index (CNI). We estimated targeting associations using linear regressions with year fixed effects and standard errors clustered at the area level. We assessed equity using the Concentration Index and a proportional allocation benchmark, and evaluated within-area heterogeneity in household vulnerability.

resultsProgram resources were positively associated with area-level need (beta = 0.101, 95% CI: 0.091–0.111, p < 0.001). Where the program operated, targeting exceeded proportional benchmarks (proportionality ratio = 1.33) and the Concentration Index was positive (CI = 0.074), indicating pro-poor allocation. However, only 47% of high-need areas had any program presence, and regional variation was substantial: Stockholm’s targeting association was over three times stronger than Skåne’s (beta = 0.145 vs. 0.043). Within-area analysis revealed that more heterogeneous areas received slightly lower dosage, suggesting area-based allocation partially misses within-neighbourhood inequalities.

conclusionsSweden directed resources toward higher-need areas, with targeting that exceeded proportional benchmarks where the program was implemented. The primary equity challenge was not targeting accuracy but coverage: more than half of high-need areas lacked any program presence. Achieving equitable outcomes through proportionate universalism requires both accurate allocation formulas and sufficient implementation capacity to reach all areas of need.

Indexed as

Child Health ServicesHealth EquityHouse CallsResource AllocationChild, PreschoolFemaleHumansSwedenChild health servicesConcentration indexHealth equityHome visitingProportionate universalismResource allocationSweden

Identifiers

PMID42046080
PMCPMC13123165

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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.