Cited by 48Electronic Health Records SystemsICT in Developing CommunitiesClinical practice guidelines implementation

Guidelines for maternal and neonatal “point of care”: Needs of and attitudes towards a computerized clinical decision support system in rural Burkina Faso

Open access
Zakane, S Alphonse, Gustafsson, Lars L, Tomson, Göran, Loukanova, Svetla, Sié, Ali, Nasiell, Josefine, Bastholm-Rahmner, Pia·2014·International Journal of Medical Informatics

Abstract

Background In 2010, 245,000 women died due to pregnancy-related causes in sub-Saharan Africa and southern Asia. Our study is nested into the QUALMAT project and seeks to improve the quality of maternal care services through the introduction of a computerized clinical decision support system (CDSS) to help healthcare workers in rural areas. Healthcare information technology applications in low-income countries may improve healthcare provision but recent studies demonstrate unintended consequences with underuse or resistance to CDSS and that the fit between the system and the clinical needs does present challenges. Aims To explore and describe perceived needs and attitudes among healthcare workers to access WHO guidelines using CDSS in maternal and neonatal care in rural Burkina Faso. Methods Data were collected with semi-structured interviews in two rural districts in Burkina Faso with 45 informants. Descriptive statistics were used for the analysis of the quantitative part of the interview corresponding to informants' background. Qualitative data were analyzed using manifest content analysis. Results Four main findings emerged: (a) an appreciable willingness among healthcare workers for and a great interest to adapt and use modern technologies like computers to learn more in the workplace, (b) a positive attitude to easy access of guidelines and implementation of decision-support using computers in the workplace, (c) a fear that the CDSS would require more working time and lead to double-work, and (d) that the CDSS is complicated and requires substantial computer training and extensive instructions to fully implement. Conclusions The findings can be divided into aspects of motivators and barriers in relation to how the CDSS is perceived and to be used. These aspects are closely connected to each other as the motivating aspects can easily be turned into barriers if not taken care of properly in the final design, during implementation and maintenance of the CDSS at point of care.

Integrity signals

Registry

Crossref · 10.1016/j.ijmedinf.2014.01.013

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zakane, S. A., Gustafsson, L. L., Tomson, G., Loukanova, S., Sié, A., Nasiell, J., & Bastholm-Rahmner, P.
Affiliations
  • Karolinska University Hospital (SE)
  • Heidelberg University (DE)
  • Centre de Recherche en Santé de Nouna (BF)
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2014-06
Volume
83
Issue
6
Pages
459-469
ISSN
1386-5056 (ISSN-L)
OpenAlex
W2021470326
Cited by
48
References
35
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 8 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 3 · 2017: 6 · 2016: 2 · 2015: 5 · 2014: 4
FWCI
9.83
Type
journal article
Language
en
Open access
Locations
  • International Journal of Medical Informatics (publishedVersion)
  • PubMed (publishedVersion)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
Funders
  • European Commission
  • Vetenskapsrådet
  • Muhimbili University of Health and Allied Sciences
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
Keywords
clinical decision support systems, maternal care, neonatal care, clinician attitudes, technology adoption barriers, rural health care, computerized clinical decision support, Burkina Faso
MeSH terms
Adult, Attitude of Health Personnel, Burkina Faso, Female, Health Personnel, Humans, Male, Maternal Health Services, Middle Aged, Motivation, Pregnancy, Prenatal Care, Quality Assurance, Health Care, Rural Health, Practice Guidelines as Topic, Decision Support Systems, Clinical

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review