Evidence map›Paper›PMID 41225747›Full record

ArticleNursing open2025

Converting From Paper to Electronic Charting for a Nurse-Led Programme Serving High-Risk Postpartum Women and Infants in Malawi.

Joanne Chiwaula, Marcianna Nosek, Glory Mwafulirwa-Kabaghe, Emmanuel Chimwezi, Dehlia Ramos-Gonzalez

Abstract read
In one paragraph

Article in Nursing open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Joanne ChiwaulaChimwemwe Mu'bereki Association, Lilongwe, Malawi.ORCID https://orcid.org/0009-0005-9629-3761
Marcianna NosekUniversity of San Francisco, School of Nursing & Health Professions, San Francisco, California, USA.
Glory Mwafulirwa-KabagheChimwemwe Mu'bereki Association, Lilongwe, Malawi.
Emmanuel ChimweziQueen Elizabeth Central Hospital, Malnutrition Research Group, Blantyre, Malawi.
Dehlia Ramos-GonzalezSt. David's Healthcare, HCA Center for Clinical Advancement, Frisco, Texas, USA.

Funding

University of San Francisco Jesuit Foundation
6 · The paper itself

Abstract

introductionGovernmental and non-governmental organisations in low-income countries have transitioned from paper data collection to electronic data collection at a slower pace than those in high-income countries due to limitations of funding, internet stability and trained personnel, among other reasons. This paper chronicles the process employed by one small non-governmental organisation in Malawi from the selection of a programme through implementation, describing challenges and successes along the way in order to facilitate the adoption process for NGOs in sub-Saharan Africa or other low-income countries. DISCUSSION: Upgrading the data collection system presented a daunting challenge. Despite the significant learning curve for the entire team, the implementation phase proceeded smoothly. Although staff remained apprehensive, they also understood the need for change and fully invested in the process.

conclusionThe benefits of electronic charting outweigh the struggles involved in learning a new system. Key elements of the process that supported success were active engagement of users at all points during the transition, selection of a programme that was well-suited for the size and needs of the NGO, and appropriate support from ancillary staff and outside experts.

Indexed as

Data CollectionElectronic Health RecordsPostpartum PeriodFemaleHumansMalawidata collectionelectronic chartinginfantslow‐income countriesMalawimobile appsNGOspostpartumREDCapsub‐Saharan Africa

Identifiers

PMID41225747
PMCPMC12611704

What OpenQuestion holds

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Registered trials

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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.