Evidence map›Paper›PMID 38020264›Full record

ArticleJournal of public health in Africa2023

Configuring a computer-based nursing process form to support nursing diagnosis in rural healthcare clinics in Nigeria.

Chinemerem Eleke, Ada C Nwaneri, Joy C Samuel, Sabinah Ngbala-Okpabi, Ifeyinwa S Agu, Damiete M Amachree, Tex-Jack Dokuba

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Chinemerem ElekeDepartment of Nursing Science, University of Port Harcourt.
Ada C NwaneriDepartment of Nursing Sciences, University of Nigeria Enugu Campus.
Joy C SamuelDepartment of Nursing Science, University of Port Harcourt.
Sabinah Ngbala-OkpabiDepartment of Nursing Science, University of Port Harcourt.
Ifeyinwa S AguDepartment of Nursing Science, Abia State University Uturu.
Damiete M AmachreeDepartment of Nursing Sciences, Rivers State University, Port Harcourt.
Tex-Jack DokubaRivers State School of Midwifery, Port Harcourt, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor internet infrastructure limits the use of computer-based nursing process forms in rural areas. This study aimed to configure a computer-based nursing process form to support nursing diagnosis and care evaluation in rural healthcare clinics in Africa. This study utilized a methodological design. The design process utilized a three-stage procedure involving planning, configuration, and testing. Seven faculty members volunteered to participate in the laboratory verification process. Each simulation session lasted 45 min and span from patient admission to exit. The experts independently scored the software functionality dichotomously as Not Suitable (score 0) and Suitable (score 1) for nursing practice. The agreement between the faculty volunteers was 0.857. The configuration of a readily available Microsoft Access computer application to support nursing diagnosis without internet service is possible. Health facilities in rural areas without internet connectivity should resort to such local configurations to maximize the benefits of electronic-based documentation.

Indexed as

computerdiagnosisinternetnursingrural

Identifiers

PMID38020264
PMCPMC10658472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.