Evidence map›Paper›PMID 31647526›Full record

ArticleEuropean journal of public health2020

How can we monitor the impact of national health information systems? Results from a scoping review.

Marie Delnord, F Tille, L A Abboud, D Ivankovic, H Van Oyen

Abstract readScoping Review
In one paragraph

Article in European journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. Article
  7. Recommendations to plan a national burden of disease study.Archives of public health = Archives belges de sante publique · 2021
    Article
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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

5 authors.

Marie DelnordDepartment of Epidemiology and public health, Sciensano, Brussels, Belgium.
F TilleDepartment of Medical Sociology and Rehabilitation Science, Charité Berlin University of Medicine, Berlin, Germany.
L A AbboudDepartment of Epidemiology and public health, Sciensano, Brussels, Belgium.
D IvankovicDepartment of Public Health, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
H Van OyenDepartment of Epidemiology and public health, Sciensano, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational health information (HI) systems provide data on population health, the determinants of health and health system performance within countries. The evaluation of these systems has traditionally focused on statistical practices and procedures, and not on data use or reuse for policy and practice. This limits the capacity to assess the impact of HI systems on healthcare provision, management and policy-making. On the other hand, the field of Knowledge Translation (KT) has developed frameworks to guide evidence into practice.

methodsA scoping review of the KT literature to identify the essential mechanisms and determinants of KT that could help monitor the impact of HI systems.

resultsWe examined 79 publications and we identified over 100 different KT frameworks but none of these were focused on HI systems per se. There were specific recommendations on disseminating evidence to stakeholders at the institutional and organizational level, and on sustaining the use of evidence in practice and the broader community setting.

conclusionsWe developed a new model, the HI-Impact framework, in which four domains are essential for mapping the impact of national HI systems: (i) HI Evidence Quality, (ii) HI System Responsiveness, (iii) Stakeholder Engagement and (iv) Knowledge Integration. A comprehensive impact assessment of HI systems requires addressing the use of HI in public health decision-making, health service delivery and in other sectors which might have not been considered previously. Monitoring Stakeholder Engagement and Knowledge Integration certifies that the use of HI in all policies is an explicit point of assessment.

Indexed as

Decision MakingHealth Information SystemsPolicy MakingSocial Determinants of HealthDelivery of Health CareHealth PersonnelHealth Services ResearchHumansPopulation HealthTranslational Research, Biomedical

Identifiers

PMID31647526
PMCPMC7445047

What OpenQuestion holds

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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.