Evidence map›Paper›PMID 41040968›Full record

ReviewThe Lancet. Primary care2025

Models of global primary care post-2030.

Luke N Allen, Kumanan Rasanathan, Robert Mash, Manuela Villar Uribe, Viviana Martinez-Bianchi, Michael Kidd

Abstract readReview
In one paragraph

Review in The Lancet. Primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. National and Subnational Models of Care That Support Primary Health Care: A Mixed-Methods Study.The International journal of health planning and management · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Luke N AllenNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Kumanan RasanathanAlliance for Health Policy and Systems Research, World Health Organization, Geneva, Switzerland.
Robert MashDepartment of Family and Emergency Medicine, Stellenbosch University, Cape Town, South Africa.
Manuela Villar UribeHealth, Nutrition and Population Global Practice, The World Bank, Washington, DC, USA.
Viviana Martinez-BianchiDepartment of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC, USA.
Michael KiddNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Primary care is currently a central focus in global health policy; however, renewed attention has not translated into the investment needed to build systems that are fit for the future. As 2030 approaches, many health systems are converging towards primary care models that provide community-based, first-contact access, but they omit the other core functions of comprehensiveness, continuity, and coordination. In this Viewpoint, we argue that these primary care lite models are ill-equipped to manage the increasing burden of multimorbidity; harness technological disruption; and reduce health inequities. We propose a new trajectory towards hybrid models of care that anchor community-oriented outreach workers within multidisciplinary teams that are trained in family medicine. Although artificial intelligence and digital tools can magnify impact and reach, we warn that their uninformed adoption could create digital gatekeepers and deepen disparities. To future-proof primary care, policy makers should invest in integrated models that deliver robust, equitable, and person-centred care that is needed to meet future challenges.

Identifiers

PMID41040968
PMCPMC12485077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.