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

Authors

  • Chinemerem Eleke Department of Nursing Science, University of Port Harcourt; Africa Center for Excellence in Public Health & Toxicological Research, University of Port Harcourt https://orcid.org/0000-0002-9375-9918
  • 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

DOI:

https://doi.org/10.4081/jphia.2023.2359

Keywords:

Computer, diagnosis, internet, nursing, rural

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.

Download data is not yet available.

References

Ahn M, Choi M, Kim Y. Factors Associated with the Timeliness of Electronic Nursing Documentation. Healthc Inform Res. 2016; 22:270-6. DOI: https://doi.org/10.4258/hir.2016.22.4.270

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: https://doi.org/10.1186/1472-6947-14-54

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: https://doi.org/10.9717/kmms.2016.19.7.1197

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: https://doi.org/10.1111/jocn.14097

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: https://doi.org/10.26719/2014.20.2.105

Paans W, Müller-Staub M. Patients' Care Needs: Documentation Analysis in General Hospitals. Int J Nurs Knowl. 2015; 26(4):178-86. DOI: https://doi.org/10.1111/2047-3095.12063

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: https://doi.org/10.4103/JNMS.JNMS_13_17

Asmirajanti M, Hamid AYS, Hariyati RTS. Nursing care activities based on documentation. BMC Nurs. 2019; 18:32. DOI: https://doi.org/10.1186/s12912-019-0352-0

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: https://doi.org/10.1186/s12912-017-0248-9

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: https://doi.org/10.7475/kjan.2013.25.4.365

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: https://doi.org/10.1590/S0080-62342013000100031

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: https://doi.org/10.1111/ajag.12072

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: https://doi.org/10.1016/j.jen.2014.04.010

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: https://doi.org/10.1016/j.jsps.2014.02.013

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: https://doi.org/10.1007/s10916-016-0628-9

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: https://doi.org/10.1016/j.ijmedinf.2014.06.011

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: https://doi.org/10.1111/2047-3095.12008

Peres H, et al. Assessment of an electronic system for clinical nursing documentation. Acta Paul Enferm. 2012; 25: 543-48. DOI: https://doi.org/10.1590/S0103-21002012000400010

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: https://doi.org/10.1097/NCN.0b013e3181f69bb3

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: https://doi.org/10.1111/j.1365-2702.2009.02879.x

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: https://doi.org/10.1111/j.1744-618X.2008.00088.x

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: https://doi.org/10.1055/b-006-161141

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: https://doi.org/10.1590/0034-7167-2017-0267

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: https://doi.org/10.1590/0104-1169.0302.2633

Downloads

Published

21-11-2023

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). https://doi.org/10.4081/jphia.2023.2359

Issue

Section

Original Articles