Evidence map›Paper›PMID 32831082›Full record

ArticleBMC medical informatics and decision making2020

Implementation of a national electronic health information system in Gabon: a survey of healthcare providers' perceptions.

Cheick Oumar Bagayoko, Jack Tchuente, Diakaridia Traoré, Gaetan Moukoumbi Lipenguet, Raymond Ondzigue Mbenga, Aimé Patrice Koumamba, Myriam Corille Ondjani, Olive Lea Ndjeli, Marie-Pierre Gagnon

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 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
  3. Article
  4. Review
  5. Scoping review of health information technology usability methods leveraged in Africa.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  6. Article
  7. Article
  8. 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

9 authors.

Cheick Oumar BagayokoCentre d'Innovation et de Santé Digitale, DigiSanté-Mali, USTTB, Bamako, Mali. cobagayoko@certesmali.org.ORCID 0000-0002-7270-4854
Jack TchuenteResearch Center in Primary Care and Social Services, Quebec, Canada.
Diakaridia TraoréCentre d'Expertise et de Recherche en Télémédecine et E-Santé, CERTES, Bamako, Mali.
Gaetan Moukoumbi LipenguetUniversité de Bordeaux, Bordeaux, France.
Raymond Ondzigue MbengaMinistère en charge de la santé, Projet eGabon-SIS, Libreville, Gabon.
Aimé Patrice KoumambaUniversité de Bordeaux, Bordeaux, France.
Myriam Corille OndjaniMinistère en charge de la santé, Projet eGabon-SIS, Libreville, Gabon.
Olive Lea NdjeliMinistère en charge de la santé, Projet eGabon-SIS, Libreville, Gabon.
Marie-Pierre GagnonResearch Center in Primary Care and Social Services, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Health Information System (HIS) is a set of computerized tools for the collection, storage, management, and transmission of health data. The role of such tools in supporting the modernization of health systems, improving access to quality healthcare, and reducing costs in developing countries is unquestionable, but their implementation faces several challenges. In Gabon, a unique national electronic HIS has been launched. It will connect healthcare institutions and providers at all levels in the whole country.

objectiveThis study aims to explore and identify the factors influencing healthcare providers' perceptions of the national electronic HIS in Gabon.

methodsA 44-item questionnaire based on the Information System Success Model (ISSM) was administered between February and April 2018 among 2600 healthcare providers across the country. The questions assessed the different aspects of the HIS that could influence its perceived impact on a 5-level Likert scale (from fully agree to totally disagree). The reliability and construct validity of the questionnaire were checked using Cronbach alpha and congeneric reliability coefficients. A logistic regression was used to identify the factors influencing healthcare providers' perceptions of the system.

resultsA total of 2327 questionnaires were completed (i.e. 89.5% response rate). The logistic regression identified five elements that significantly influenced perceived system impact: System Quality (Odds Ratio-OR = 1.70), Information Quality (OR = 1.69), Actual Use (OR = 1.41), Support Quality (OR = 1.37), and Useful Functions (OR = 1.14). The model explained 30% of the variance in providers' perception that the national HIS leads to positive impacts. DISCUSSION: The results show that healthcare providers' perceptions regarding the positive impact of the national HIS in Gabon are influenced by their previous use of an HIS, the scope of their usage, and the quality of the system, information, and support provided to users. These results could inform the development of strategies to ensure adequate change of management and user experience for the implementation of the national HIS in Gabon, and eventually in other low resource environments.

Indexed as

Health Information SystemsHealth PersonnelAdultAttitude of Health PersonnelFemaleGabonHumansMaleMiddle AgedPerceptionReproducibility of ResultsSurveys and QuestionnairesGabonHealthcare providersHealth information systemInformation system successUser acceptance

Identifiers

PMID32831082
PMCPMC7444076

What OpenQuestion holds

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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.