Evidence map›Paper›PMID 39469662›Full record

ReviewThe Lancet regional health. Southeast Asia2024

Advancing evidence-based decision-making in Bhutan: development of a health technology assessment framework.

Annapoorna Prakash, Pempa, Tshering Duba, K C Sarin, Saudamini Vishwanath Dabak, Ugyen Tashi

Abstract readReview
In one paragraph

Review in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Annapoorna PrakashHealth Intervention and Technology Assessment Program, Department of Health, Nonthaburi, 11000, Thailand.
PempaHealth Intervention and Technology Assessment Division, Department of Health Services, Ministry of Health, Kawajangsa, Thimphu, Bhutan.
Tshering DubaHealth Intervention and Technology Assessment Division, Department of Health Services, Ministry of Health, Kawajangsa, Thimphu, Bhutan.
K C SarinHealth Intervention and Technology Assessment Program, Department of Health, Nonthaburi, 11000, Thailand.
Saudamini Vishwanath DabakHealth Intervention and Technology Assessment Program, Department of Health, Nonthaburi, 11000, Thailand.
Ugyen TashiHealth Intervention and Technology Assessment Division, Department of Health Services, Ministry of Health, Kawajangsa, Thimphu, Bhutan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bhutan is currently transforming its health system and has updated its Health Technology Assessment (HTA) framework. This revision is designed to prioritize health initiatives and ensure the sustainability of the health system. This updated framework has been developed through an iterative process involving a desk-based review and stakeholder consultations at the beginning and after the development of the draft framework. The framework outlines the stages of the HTA process and identifies the stakeholders with their roles and responsibilities. The framework has been contextualised to Bhutan's needs and has been endorsed by the high-level decision-making authority for the health sector. The experience highlights diverse challenges and solutions including international collaborations for the institutionalisation of HTA and the lessons learned from this process offer insights for HTA efforts in other settings. Funding: UNDP-led Access and Delivery Partnership (ADP).

Indexed as

BhutanHealth policyHealth technology assessmentLow-and-middle-income countries

Identifiers

PMID39469662
PMCPMC11513493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.