Evidence map›Paper›PMID 31097044›Full record

ArticleInternational journal of technology assessment in health care2019

From Design to Evaluation: Applications of Health Technology Assessment in Myanmar and Lessons for Low or Lower Middle-Income Countries.

Saudamini Vishwanath Dabak, Yot Teerawattananon, Thiri Win

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors.

Saudamini Vishwanath DabakThe Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Thailand.ORCID https://orcid.org/0000-0001-6161-6165
Yot TeerawattananonThe Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Thailand.
Thiri WinMinistry of Health and Sports, Myanmar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealth technology assessment (HTA) has been widely used to inform coverage decisions in high-income countries over the past few decades and has been getting increasing attention in middle-income countries as a tool for healthcare decision making in recent years. This study aims to use the case of the Maternal and Child Health Voucher Scheme (MCHVS) in Myanmar to understand how HTA can have a policy impact in a low or lower middle-income country.

methodsThe stages heuristic framework was used to describe the policy-making process. A document review was conducted and tacit knowledge of researchers involved was recorded.

resultsThe opportunity for a grant propelled maternal and child health to the policy agenda. An ex-ante HTA, which included a model-based health economic evaluation, informed the design of the scheme. The framework and key parameters from the ex-ante HTA were used for a mid-term review, which provided feedback to the policy implementation process. An ex-post HTA involved fielding a household survey to assess the impact of the scheme.

conclusionsHTA can be a useful method for informing resource allocation throughout the policy process in low and lower middle-income settings where no formal mechanism for making coverage decisions exists.

Indexed as

AdultChildChild Health ServicesDecision MakingDeveloping CountriesFemaleHealth PolicyHumansMaleMaternal Health ServicesModels, EconomicMyanmarResource AllocationSurveys and QuestionnairesTechnology Assessment, BiomedicalEx-ante evaluationEx-post evaluationHealth technology assessmentMaternal and child healthMyanmarPolicy process

Identifiers

PMID31097044
PMCPMC7722343

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.