Evidence map›Paper›PMID 37400118›Full record

ReviewBMJ global health2023

What can one legitimately expect from a health system? A conceptual analysis and a proposal for research and action.

Kimberly Lakin, Sumit Kane

Open access · goldAbstract readReview
In one paragraph

Review in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

2 authors at 1 institution in 1 country.

Kimberly LakinNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-6016-3416
Sumit KaneNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia sumit.kane@unimelb.edu.au.ORCID 0000-0002-4858-7344
The University of Melbourne · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

In 2007, the WHO proposed the Building Blocks Framework and articulated 'responsiveness' as one of the four goals for health systems. While researchers have studied and measured health systems responsiveness since, several aspects of the concept remain unexamined, including, understanding the notion of 'legitimate expectations'-a notion central to the definition of responsiveness. We begin this analysis by providing a conceptual overview of how 'legitimacy' is understood in key social science disciplines. Drawing on insights from this overview, we examine how 'legitimacy' is understood in the literature on health systems responsiveness and reveal that there is currently little critical engagement with this notion of the 'legitimacy' of expectations. In response, we unpack the concept of 'legitimate' expectations and propose approaches and areas for reflection, research, and action. We conclude that contestation, and ongoing negotiation of entrenched health system processes and norms which establish citizens' 'legitimate' expectations of health systems, is needed-through processes that ensure equitable and wide participation. We also call on researchers, in their capacity as key health policy actors, to trigger and initiate processes and help create equitable spaces for citizens to participate in establishing 'legitimate' expectations of health systems.

Indexed as

Government ProgramsHealth PolicyHumansHealth policyHealth services researchHealth systems

Identifiers

PMID37400118
PMCPMC10335520
OpenAlexW4382931202

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.