Evidence map›Paper›PMID 34491205›Full record

ArticleJMIR public health and surveillance2021

Assessing the Electronic Evidence System Needs of Canadian Public Health Professionals: Cross-sectional Study.

Bandna Dhaliwal, Sarah E Neil-Sztramko, Nikita Boston-Fisher, David L Buckeridge, Maureen Dobbins

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Bandna DhaliwalNational Collaborating Centre for Methods and Tools, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-7407-0536
Sarah E Neil-SztramkoNational Collaborating Centre for Methods and Tools, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-9600-3403
Nikita Boston-FisherSchool of Population and Global Health, McGill University, Montreal, QC, Canada.ORCID 0000-0001-6256-474X
David L BuckeridgeSchool of Population and Global Health, McGill University, Montreal, QC, Canada.ORCID 0000-0003-1817-5047
Maureen DobbinsNational Collaborating Centre for Methods and Tools, McMaster University, Hamilton, ON, Canada.ORCID 0000-0002-1968-6765

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrue evidence-informed decision-making in public health relies on incorporating evidence from a number of sources in addition to traditional scientific evidence. Lack of access to these types of data as well as ease of use and interpretability of scientific evidence contribute to limited uptake of evidence-informed decision-making in practice. An electronic evidence system that includes multiple sources of evidence and potentially novel computational processing approaches or artificial intelligence holds promise as a solution to overcoming barriers to evidence-informed decision-making in public health.

objectiveThis study aims to understand the needs and preferences for an electronic evidence system among public health professionals in Canada.

methodsAn invitation to participate in an anonymous web-based survey was distributed via listservs of 2 Canadian public health organizations in February 2019. Eligible participants were English- or French-speaking individuals currently working in public health. The survey contained both multiple-choice and open-ended questions about the needs and preferences relevant to an electronic evidence system. Quantitative responses were analyzed to explore differences by public health role. Inductive and deductive analysis methods were used to code and interpret the qualitative data. Ethics review was not required by the host institution.

resultsRespondents (N=371) were heterogeneous, spanning organizations, positions, and areas of practice within public health. Nearly all (364/371, 98.1%) respondents indicated that an electronic evidence system would support their work. Respondents had high preferences for local contextual data, research and intervention evidence, and information about human and financial resources. Qualitative analyses identified several concerns, needs, and suggestions for the development of such a system. Concerns ranged from the personal use of such a system to the ability of their organization to use such a system. Recognized needs spanned the different sources of evidence, including local context, research and intervention evidence, and resources and tools. Additional suggestions were identified to improve system usability.

conclusionsCanadian public health professionals have positive perceptions toward an electronic evidence system that would bring together evidence from the local context, scientific research, and resources. Elements were also identified to increase the usability of an electronic evidence system.

Indexed as

Artificial IntelligencePublic HealthCanadaCross-Sectional StudiesElectronicsHumansevidence-informed decision-makingneeds assessmentpopulation surveillanceprecision public healthpublic health

Identifiers

PMID34491205
PMCPMC8456326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.