Evidence map›Paper›PMID 32614845›Full record

ArticlePloS one2020

The role of external actors in shaping migrant health insurance in Thailand.

Chantal Herberholz

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Equity of Social Health Insurance Coverage for Migrants in Thailand: A Concentration Index Analysis.International journal of environmental research and public health · 2021
    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

1 author.

Chantal HerberholzCentre for Health Economics, Faculty of Economics, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-7065-5614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of external actors in national health policy in aid-independent countries has received relatively little attention in the literature, despite the fact that influence continues to be exerted once financial support is curtailed as countries graduate from lower income status. Focusing on a specific health policy in an aid-independent country, this qualitative study explores the role of external actors in shaping Thailand's migrant health insurance. Primary data were collected through in-depth interviews with eighteen key informants from September 2018 to January 2019. The data were analysed using thematic analysis, focusing on three channels of influence, financial resources, technical expertise and inter-sectoral leverage, and their effect on the different stages of the policy process. Given Thailand's export orientation and the importance of reputational effects, inter-sectoral leverage, mainly through the US TIP Reports and the EU carding decision, emerged as a very powerful channel of influence on priority setting, as it indirectly affected the migrant health insurance through efforts aimed at dealing with problems of human trafficking in the context of labour migration, especially after the 2014 coup d'état. This study helps understand the changed role external actors can play in filling health system gaps in aid-independent countries.

Indexed as

Health PolicyMedically UninsuredSocial Determinants of HealthTransients and MigrantsUniversal Health InsuranceCapital FinancingCharitiesDeveloping CountriesGovernment AgenciesHealth ExpendituresHumansHuman TraffickingInternational AgenciesIntersectoral CollaborationInterviews as TopicOrganizations

Identifiers

PMID32614845
PMCPMC7332068

What OpenQuestion holds

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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.