Cited by 6Nursing Diagnosis and DocumentationElectronic Health Records SystemsMedical Coding and Health Information

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

Open access
Eleke, Chinemerem, Nwaner, Ada C., Samuel, Joy C., Ngbala‑Okpabi, Sabinah, Agu, Ifeyinwa S., Amachree, Damiete M., Dokuba, Tex‑Jack·2023·Journal of Public Health in Africa

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.

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Crossref · 10.4081/jphia.2023.2359

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  • Various educational software programs have been developed to improve learners' efficiency in practicing patient care, performing accurate nursing diagnoses, and identifying patient conditions.

    “Following this theory, various educational software programs have been developed to improve learners’ efficiency in practicing patient care [7], performing accurate nursing diagnoses [8], and identifying patient conditions [9].”

    From Effects of a generative AI-assisted ADPIE Framework on critical thinking, learning self-efficacy, and clinical reasoning in nursing education: a quasi-experimental study (2026) · cites this paper as [8]

    The Introduction describes computer-based tools that suggest nursing diagnoses, and the Conclusions say the authors configured a diagnosis-suggesting form. This supports the development of software for nursing diagnosis, the part attached to citation [8]. It does not establish that the software is educational or improves learners’ diagnostic accuracy: Materials and methods (Step 3: testing) reports faculty suitability feedback and says no clinical validation was done. Page numbers were not available in our copy. (LLM, conf=0.88)

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Research works printed but not linked: 1

  1. [27]Polit D Beck C: Nursing research: Generating and assessing evidence for nursing practice. 11 edtion. Wolters Kluwer, 2020.

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Authors
Eleke, C., Nwaner, A. C., Samuel, J. C., Ngbala‑Okpabi, S., Agu, I. S., Amachree, D. M., & Dokuba, T.
Affiliations
  • University of Port Harcourt (NG)
  • University of Nigeria (NG)
  • Abia State University (NG)
  • Rivers State University (NG)
Corresponding author
  • Eleke, Chinemerem
  • Nwaner, Ada C.
  • Samuel, Joy C.
  • Agu, Ifeyinwa S.
  • Amachree, Damiete M.
Venue
Journal of Public Health in Africa
Publisher
AOSIS
Published
2023-10-30
Volume
14
Issue
10
Pages
9
ISSN
  • 2038-9922 (ISSN-L)
  • 2038-9930
OpenAlex
W4388905313
Cited by
6
References
25
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2022: 1
FWCI
2.64
Type
journal article
Language
en
Open access
Locations
  • Journal of Public Health in Africa (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
Keywords
nursing diagnosis, Microsoft Access, internet access, nursing documentation, care evaluation, Nigeria

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