Evidence map›Paper›PMID 31633086›Full record

ArticleGates open research2019

How can we make better health decisions a Best Buy for all?: Commentary based on discussions at iDSI roundtable on 2

Niki O'Brien, Ryan Li, Wanrudee Isaranuwatchai, Saudamini Vishwanath Dabak, Amanda Glassman, Anthony J Culyer, Kalipso Chalkidou

Abstract read
In one paragraph

Article in Gates open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Niki O'BrienGlobal Health and Development Group, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-8389-1448
Ryan LiGlobal Health and Development Group, Imperial College London, London, UK.
Wanrudee IsaranuwatchaiCentre for Excellence in Economic Analysis Research (CLEAR), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Saudamini Vishwanath DabakHealth Intervention and Technology Assessment Program (HITAP), Nonthaburi, Thailand.ORCID https://orcid.org/0000-0001-6161-6165
Amanda GlassmanCenter For Global Development, Washington DC, USA.
Anthony J CulyerCentre for Health Economics, University of York, York, UK.
Kalipso ChalkidouGlobal Health and Development Group, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-8896-8491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization (WHO) resolution calling on Member States to work towards achieving universal health coverage (UHC) has increased the need for prioritizing health spending. Such need will soon accelerate as low- and middle-income countries transition from external aid. Countries will have to make difficult decisions on how best to integrate and finance previously donor-funded technologies and health services into their UHC packages in ways that are equitable, and operationally and financially sustainable. The International Decision Support Initiative (iDSI) is a global network of health, policy and economic expertise which supports countries in making better decisions about how best and how much to spend public money on healthcare. iDSI core partners include Center For Global Development, China National Health Development Research Center, Clinton Health Access Initiative, Health Intervention and Technology Assessment Program, Thailand / National Health Foundation, Imperial College London, Kenya Medical Research Institute, and the Norwegian Institute of Public Health. In May 2019, iDSI convened a roundtable entitled

Indexed as

donordonor transitioneconomic evaluationevidence-informed priority settingfinancingglobal healthhealthcarehealthcare financinghealth serviceshealth systemhealth system strengtheninghealth technology assessmentHTA institutionalizationinternational decision support initiativeinternational developmentpriority settingpurchasingresource allocationuniversal health coverage

Identifiers

PMID31633086
PMCPMC6784300

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.