Evidence map›Paper›PMID 37742988›Full record

ReviewJournal of clinical epidemiology2023

Greater agreement is required to harness the potential of health intelligence: a critical interpretive synthesis.

Michelle M Haby, Evelina Chapman, Jorge Otávio Maia Barreto, Oscar J Mujica, Ana Rivière Cinnamond, Roberta Caixeta, Sebastian Garcia-Saiso, Ludovic Reveiz

Abstract readReview
In one paragraph

Review in Journal of clinical epidemiology, 2023. 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

8 authors.

Michelle M HabyEvidence and Intelligence for Action in Health, Pan American Health Organization, Washington, DC, USA; Department of Chemical and Biological Sciences, University of Sonora, Hermosillo, Sonora, Mexico; Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria 3010, Australia. Electronic address: haby@unimelb.edu.au.
Evelina ChapmanFiocruz Brasília, Oswaldo Cruz Foundation, Avenida L3 Norte, s/n, Campus Universitário Darcy Ribeiro, Gleba A, Brasília, DF 70904-130, Brazil.
Jorge Otávio Maia BarretoFiocruz Brasília, Oswaldo Cruz Foundation, Avenida L3 Norte, s/n, Campus Universitário Darcy Ribeiro, Gleba A, Brasília, DF 70904-130, Brazil.
Oscar J MujicaEvidence and Intelligence for Action in Health, Pan American Health Organization, Washington, DC, USA.
Ana Rivière CinnamondPAHO/WHO Representation in Panama, Ministerio de Salud, Ancon, Av Gorgas, Edificio 261, Panama City, Panama.
Roberta CaixetaNoncommunicable Disease and Mental Health, Pan American Health Organization/World Health Organization, Washington, DC, USA.
Sebastian Garcia-SaisoEvidence and Intelligence for Action in Health, Pan American Health Organization, Washington, DC, USA.
Ludovic ReveizEvidence and Intelligence for Action in Health, Pan American Health Organization, Washington, DC, USA.

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesTo synthesize existing knowledge on the features of, and approaches to, health intelligence, including definitions, key concepts, frameworks, methods and tools, types of evidence used, and research gaps. STUDY DESIGN AND

settingWe applied a critical interpretive synthesis methodology, combining systematic searching, purposive sampling, and inductive analysis to explore the topic. We conducted electronic and supplementary searches to identify records (papers, books, websites) based on their potential relevance to health intelligence. The key themes identified in the literature were combined under each of the compass subquestions and circulated among the research team for discussion and interpretation.

resultsOf the 290 records screened, 40 were included in the synthesis. There is no clear definition of health intelligence in the literature. Some records describe it in similar terms as public health surveillance. Some focus on the use of artificial intelligence, while others refer to health intelligence in a military or security sense. And some authors have suggested a broader definition of health intelligence that explicitly includes the concepts of synthesis of research evidence for informed decision making.

conclusionRather than developing a new or all-encompassing definition, we suggest incorporating the concept and scope of health intelligence within the evidence ecosystem.

Indexed as

Artificial IntelligenceEcosystemHumansIntelligenceResearch DesignCritical interpretive synthesisDataEvidence-informed decision makingHealth intelligenceInformationSurveillance

Identifiers

PMID37742988
PMCPMC10735235

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.