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


  • Chinemerem Eleke Department of Nursing Science, University of Port Harcourt; Africa Center for Excellence in Public Health & Toxicological Research, University of Port Harcourt
  • Ada C. Nwaner Department of Nursing Sciences, University of Nigeria Enugu Campus
  • Joy C. Samuel Department of Nursing Science, University of Port Harcourt
  • Sabinah Ngbala‑Okpabi Department of Nursing Science, University of Port Harcourt; Africa Center for Excellence in Public Health & Toxicological Research, University of Port Harcourt
  • Ifeyinwa S. Agu Department of Nursing Science, Abia State University Uturu
  • Damiete M. Amachree Department of Nursing Sciences, Rivers State University, Port Harcourt
  • Tex‑Jack Dokuba Rivers State School of Midwifery, Port Harcourt



Computer, diagnosis, internet, nursing, rural


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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Ahn M, Choi M, Kim Y. Factors Associated with the Timeliness of Electronic Nursing Documentation. Healthc Inform Res. 2016; 22:270-6. DOI:

Adedeji P, Irinoye O, Ikono R, Komolafe A. Factors influencing the use of electronic health records among nurses in a teaching hospital in Nigeria. J Infect Dev Ctries. 2018; 12:174.

Meißner A, Schnepp W. Staff experiences within the implementation of computer-based nursing records in residential aged care facilities: a systematic review and synthesis of qualitative research. BMC Med Inform Decis Mak. 2014; 14:54. DOI:

Park H, Cho H, Kim H. Development of an evidence-based nursing process system to improve clinical decision making with colorectal cancer nursing diagnosis. J Korea Multimedia Society. 2016; 19:1197-207. DOI:

Akhu-Zaheya L, Al-Maaitah R, Bany Hani S. Quality of nursing documentation: Paper-based health records versus electronic-based health records. J Clin Nurs. 2018; 27:e578-89. DOI:

Noureldin M, Mosallam R, Hassan SZ. Quality of documentation of electronic medical information systems at primary health care units in Alexandria, Egypt. East Mediterr Health J. 2014; 20(2):105-11. DOI:

Paans W, Müller-Staub M. Patients' Care Needs: Documentation Analysis in General Hospitals. Int J Nurs Knowl. 2015; 26(4):178-86. DOI:

Khatiban M, Tohidi S, Shahdoust M. The effects of applying an assessment form based on the health functional patterns on nursing student's attitude and skills in developing the nursing process. Int J Nurs Sci. 2020; 8(1):V.

Ojewole F, Samole A. Evaluation of nursing process utilization in a teaching hospital, Ogun State, Nigeria. J Nurs Midwifery Sci. 2017; 4:97-103. DOI:

Asmirajanti M, Hamid AYS, Hariyati RTS. Nursing care activities based on documentation. BMC Nurs. 2019; 18:32. DOI:

Baraki Z, Girmay F, Kidanu K, et al. A cross sectional study on nursing process implementation and associated factors among nurses working in selected hospitals of Central and Northwest zones, Tigray Region, Ethiopia. BMC Nurs. 2017; 16:54. DOI:

Eun K, Hyang-sook S. Construction and application of nursing information system using NANDA-NOC-NIC Linkage in medical-surgical nursing units. Korean J Adult Nurs. 2013; 25:365-76. DOI:

Dal Sasso GT, Barra DC, Paese F, et al. Computerized nursing process: methodology to establish associations between clinical assessment, diagnosis, interventions, and outcomes. Rev Esc Enferm USP. 2013; 47:242-9. DOI:

Wang N, Björvell C, Hailey D, Yu P. Development of the Quality of Australian Nursing Documentation in Aged Care (QANDAC) instrument to assess paper-based and electronic resident records. Australas J Ageing. 2014; 33:E18-24. DOI:

Coffey C, Wurster LA, Groner J, et al. A comparison of paper documentation to electronic documentation for trauma resuscitations at a level I pediatric trauma center. J Emerg Nurs. 2015; 41(1):52-6. DOI:

Albarrak AI, Al Rashidi EA, Fatani RK, et al. Assessment of legibility and completeness of handwritten and electronic prescriptions. Saudi Pharm J. 2014; 22:522-7. DOI:

Kruse CS, Kristof C, Jones B, et al. Barriers to Electronic Health Record Adoption: a Systematic Literature Review. J Med Syst. 2016; 40:252. DOI:

Nguyen L, Bellucci E, Nguyen LT. Electronic health records implementation: an evaluation of information system impact and contingency factors. Int J Med Inform. 2014; 83:779-96. DOI:

Zega M, D'Agostino F, Bowles KH, et al. Development and validation of a computerized assessment form to support nursing diagnosis. Int J Nurs Knowl. 2014; 25(1):22-9. DOI:

Peres H, et al. Assessment of an electronic system for clinical nursing documentation. Acta Paul Enferm. 2012; 25: 543-48. DOI:

Bernhart-Just A, Lassen B, Schwendimann R. Representing the nursing process with nursing terminologies in electronic medical record systems: a Swiss approach. Comput Inform Nurs. 2010; 28(6):345-52. DOI:

Yeh SH, Jeng B, Lin LW, et al. Implementation and evaluation of a nursing process support system for long-term care: a Taiwanese study. J Clin Nurs. 2009; 18(22):3089-97. DOI:

Kurashima S, Kobayashi K, Toyabe S, Akazawa K. Accuracy and efficiency of computer-aided nursing diagnosis. Int J Nurs Terminol Classif. 2008; 19(3):95-101. DOI:

Gusen J, et al. Perception and utilization of standadised electronic health records among nurses in Jos UniversityTeaching Hospital, Plateau State, Nigeria. Int J Med Health Res. 2016; 2(9): 76-83.

Herdman H, Kamitsuru S. NANDA International Nursing Diagnoses: definitions and classification, 2015-2017. Wiley Blackwell: 2014. DOI:

Gordon M. Manual of nursing diagnosis. Jones & Bartlett: 2014

Polit D, Beck C. Nursing research: generating and assessing evidence for nursing practice. 11ed. Wolters Kluwer: 2020

Lima JJ, Vieira LGD, Nunes MM. Computerized nursing process: development of a mobile technology for use with neonates. Rev Bras Enferm. 2018; 71: 1273-80. DOI:

Silva Kde L, Évora YD, Cintra CS. Software development to support decision making in the selection of nursing diagnoses and interventions for children and adolescents. Rev Lat Am Enfermagem. 2015; 23:927-35. DOI:




How to Cite

Eleke, C., Nwaner, A. C., Samuel, J. C., Ngbala‑Okpabi, S., Agu, I. S., Amachree, D. M., & Dokuba, T. (2023). Configuring a computer‑based nursing process form to support nursing diagnosis in rural healthcare clinics in Nigeria. Journal of Public Health in Africa, 14(10).



Original Articles