Evidence map›Paper›PMID 28685049›Full record

ReviewJournal of global health2017

Setting health research priorities using the CHNRI method: VII. A review of the first 50 applications of the CHNRI method.

Igor Rudan, Sachiyo Yoshida, Kit Yee Chan, Devi Sridhar, Kerri Wazny, Harish Nair, Aziz Sheikh, Mark Tomlinson, Joy E Lawn, Zulfiqar A Bhutta and 6 more

Abstract readReview
In one paragraph

Review in Journal of global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

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9 more citing papers are in PubMed but not listed here.

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

16 authors.

Igor RudanCentre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Sachiyo YoshidaDepartment for Maternal, Newborn, Child and Adolescent Health, World Health Organization, Geneva, Switzerland.
Kit Yee ChanCentre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Devi SridharCentre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Kerri WaznyCentre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Harish NairCentre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Aziz SheikhCentre for Medical Informatics, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Mark TomlinsonNRF Centre of Excellence in Human Development, DVC Research Office, University of Witwatersrand, Johannesburg, South Africa.
Joy E LawnCentre for Maternal, Adolescent, Reproductive and Child Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom.
Zulfiqar A BhuttaCentre for Global Child Health, the Hospital for Sick Children, Toronto, Canada.
Rajiv BahlDepartment for Maternal, Newborn, Child and Adolescent Health, World Health Organization, Geneva, Switzerland.
Mickey ChopraThe World Bank, Washington, DC, USA.
Harry CampbellCentre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Shams El ArifeenChild Health Research Foundation, Dhaka Shishu Hospital, Dhaka, Bangladesh.
Robert E BlackInstitute for International Programs, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Simon CousensDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Funding

The Global Partnership for AIDS Behavioral Research: South Africa and U.S.R24AA022919 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROTHERAM-BORUS, MARY JANE · 2013 to 2017
$2.4M
NIAAA NIH HHS R24 AA022919World Health Organization 001
6 · The paper itself

Abstract

backgroundSeveral recent reviews of the methods used to set research priorities have identified the CHNRI method (acronym derived from the "Child Health and Nutrition Research Initiative") as an approach that clearly became popular and widely used over the past decade. In this paper we review the first 50 examples of application of the CHNRI method, published between 2007 and 2016, and summarize the most important messages that emerged from those experiences.

methodsWe conducted a literature review to identify the first 50 examples of application of the CHNRI method in chronological order. We searched Google Scholar, PubMed and so-called grey literature.

resultsInitially, between 2007 and 2011, the CHNRI method was mainly used for setting research priorities to address global child health issues, although the first cases of application outside this field (eg, mental health, disabilities and zoonoses) were also recorded. Since 2012 the CHNRI method was used more widely, expanding into the topics such as adolescent health, dementia, national health policy and education. The majority of the exercises were focused on issues that were only relevant to low- and middle-income countries, and national-level applications are on the rise. The first CHNRI-based articles adhered to the five recommended priority-setting criteria, but by 2016 more than two-thirds of all conducted exercises departed from recommendations, modifying the CHNRI method to suit each particular exercise. This was done not only by changing the number of criteria used, but also by introducing some entirely new criteria (eg, "low cost", "sustainability", "acceptability", "feasibility", "relevance" and others).

conclusionsThe popularity of the CHNRI method in setting health research priorities can be attributed to several key conceptual advances that have addressed common concerns. The method is systematic in nature, offering an acceptable framework for handling many research questions. It is also transparent and replicable, because it clearly defines the context and priority-setting criteria. It is democratic, as it relies on "crowd-sourcing". It is inclusive, fostering "ownership" of the results by ensuring that various groups invest in the process. It is very flexible and adjustable to many different contexts and needs. Finally, it is simple and relatively inexpensive to conduct, which we believe is one of the main reasons for its uptake by many groups globally, particularly those in low- and middle-income countries.

Indexed as

Biomedical ResearchChildChild HealthGlobal HealthHealth PrioritiesHumansNutritional SciencesResearch Design

Identifiers

PMID28685049
PMCPMC5481891

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.