Evidence map›Paper›PMID 32345297›Full record

ArticleHealth research policy and systems2020

What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.

Samantha A Hollingworth, Laura Downey, Francis J Ruiz, Emmanuel Odame, Lydia Dsane-Selby, Martha Gyansa-Lutterodt, Justice Nonvignon, Kalipso Chalkidou

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Samantha A HollingworthSchool of Pharmacy, University of Queensland, 20 Cornwall St, Woolloongabba, QLD, 4102, Australia. s.hollingworth@uq.edu.au.ORCID https://orcid.org/0000-0002-5226-5663
Laura DowneySchool of Public Health, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9563-7113
Francis J RuiziDSI, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-5183-3959
Emmanuel OdamePolicy Planning, Monitoring and Evaluation, Ministry of Health, Accra, Ghana.ORCID https://orcid.org/0000-0002-4965-4684
Lydia Dsane-SelbyNational Health Insurance Authority, Accra, Ghana.ORCID https://orcid.org/0000-0003-1788-9961
Martha Gyansa-LutterodtMinistry of Health, Accra, Ghana.ORCID https://orcid.org/0000-0001-6804-1157
Justice NonvignonSchool of Public Health, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0002-7484-9491
Kalipso ChalkidouiDSI, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-7087-2803
Imperial College London · GBMinistry of Health · GHGhana Health Service · GHThe University of Queensland · AUUniversity of Ghana · GH

Funding

Bill & Melinda Gates Foundation OPP1087363
6 · The paper itself

Abstract

backgroundEvidence-based decision-making for prioritising health is assisted by health technology assessment (HTA) to integrate data on effectiveness, costs and equity to support transparent decisions. Ghana is moving towards universal health coverage, facilitated mainly by the National Health Insurance Scheme (NHIS) established in 2003. The Government of Ghana is committed to institutionalising HTA for priority-setting. We aimed to identify and describe the sources of accessible data to support HTA in Ghana.

methodsWe identified and described data sources encompassing six main domains using an existing framework. The domains were epidemiology, clinical efficacy, costs, health service use and consumption, quality of life, and equity. We used existing knowledge, views of stakeholders, and searches of the literature and internet.

resultsThe data sources for each of the six domains vary in extent and quality. Ghana has several large data sources to support HTA (e.g. Demographic Health Surveys) that have rigorous quality assurance processes. Few accessible data sources were available for costs and resource utilisation. The NHIS is a potentially rich source of data on resource use and costs but there are some limits on access. There are some data on equity but data on quality of life are limited.

conclusionsA small number of quality data sources are available in Ghana but there are some gaps with respect to HTA based on greater use of local and contextualised information. Although more data are becoming available for monitoring, challenges remain in terms of their usefulness for HTA, and some information may not be available in disaggregated form to enable specific analyses. We support recent initiatives for the routine collection of comprehensive and reliable data that is easily accessible for HTA users. A commitment to HTA will require concerted efforts to leverage existing data sources, for example, from the NHIS, and develop and maintain new data (e.g. local health utility estimates). It will be critical that an overarching strategic and mandatory approach to the collection and use of health information is developed for Ghana in parallel to, and informed by, the development of HTA approaches to support resource allocation decisions. The key to HTA is to use the best available data while being open about its limitations and the impact on uncertainty.

Indexed as

Information Storage and RetrievalLearning Health SystemUniversal Health InsuranceGhanaHealth ServicesHumansNational Health ProgramsQuality of LifeResource AllocationTechnology Assessment, BiomedicaldataGhanahealth information systemsHealth technology assessment

Identifiers

PMID32345297
PMCPMC7189587
OpenAlexW3019819586

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.