Assessment of Awareness and Availability of E-Health Technologies in Selected Health Facilities in Imo State

References

[1] Ayamolowo LB, Irinoye OO, Olaniyan AS. Utilization of electronic health records and associated factors among nurses in a faith-based teaching hospital, Ilishan, Nigeria. JAMIA Open. 2023;6(3):0–7.

[2] Piette J, Lun K, Moura L, Fraser H, Mechael P, Powell J, et al. Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? Vol. 90, Bulletin of the World Health Organization. 2012. p. 365–72.

[3] Jawad HHM, Bin Hassan Z, Zaidan BB. Factors Influencing the Behavioural Intention of Patients with Chronic Diseases to Adopt IoT-Healthcare Services in Malaysia. Vol. 50, Journal of Hunan University Natural Sciences. 2023. p. 26–42.

[4] Lu YC, Xiao Y, Sears A, Jacko JA. A review and a framework of handheld computer adoption in healthcare. Vol. 74, International Journal of Medical Informatics. 2005. p. 409–22.

[5] Salameh B, Eddy LL, Batran A, Hijaz A, Jaser S. Nurses’ Attitudes Toward the Use of an Electronic Health Information System in a Developing Country. SAGE Open Nurs. 2019;5:1–8.

[6] Langarizadeh M, Tabatabaei MS, Tavakol K, Naghipour M, Rostami A, Moghbeli F. Telemental health care, an effective alternative to conventional mental care: A systematic review. Vol. 25, Acta Informatica Medica. 2017. p. 240–6.

[7] Barnett ML, Ray KN, Souza J, Mehrotra A. Trends in Telemedicine Use in a Large Commercially Insured Population, 2005-2017. Vol. 320, JAMA - Journal of the American Medical Association. 2018. p. 2147–9.

[8] Kerstin Denecke, Elia Gabarron, Carolyn Petersen MM. Defining participatory health informatics - a scoping review - PubMed. 2021. p. 234–43.

[9] Harerimana A, Mtshali NG. Types of ICT applications used and the skills’ level of nursing students in higher education: A cross-sectional survey. Vol. 11, International Journal of Africa Nursing Sciences. 2019.

[10] De Leeuw JA, Woltjer H, Kool RB. Identification of factors influencing the adoption of health information technology by nurses who are digitally lagging: In-depth interview study. Vol. 22, Journal of Medical Internet Research. 2020.

[11] Laramee AS, Bosek M, Kasprisin CA, Powers-Phaneuf T. Learning from within to ensure a successful implementation of an electronic health record. Vol. 29, CIN - Computers Informatics Nursing. 2011. p. 468–77.

[12] Fritz F, Tilahun B, Dugas M. Success criteria for electronic medical record implementations in low-resource settings: A systematic review. Vol. 22, Journal of the American Medical Informatics Association. 2015. p. 479–88.

[13] Pradeep R. JR. ; Applications of E-Health for pandemic management [Internet]. Lyon, France: IEEE; 2010. Available from: doi: 10.1109/HEALTH.2010.5556536

[14] World Health Organization. The top 10 causes of death [Internet]. World Health Organization; 2014. Available from: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death

[15] Katona P, Scheld WM. Emerging and re-emerging infectious diseases [Internet]. Global Biosecurity: Threats and Responses. Elsevier; 2014. p. 13–24. Available from: https://www.sciencedirect.com/science/article/pii/B9780128012383001653?via%3Dihub

[16] Baker RE, Mahmud AS, Miller IF, Rajeev M, Rasambainarivo F, Rice BL, et al. Infectious disease in an era of global change NATURE REVIEWS | Microbiology [Internet]. Nature Reviews Microbiology. Available from: www.nature.com/nrmicro

[17] Qureshi AI. Economic and Political Impact of Ebola Virus Disease. Ebola Virus Disease. 2016. p. 177–91.

[18] Meinhart M, Vahedi L, Carter SE, Poulton C, Mwanze Palaku P, Stark L. Gender-based violence and infectious disease in humanitarian settings: lessons learned from Ebola, Zika, and COVID-19 to inform syndemic policy making. Vol. 15, Conflict and Health. 2021.

[19] WHO Regional Office for Africa. Integrated Disease Surveillance and Response Technical Guidelines, Booklet One: Introduction Section | WHO | Regional Office for Africa [Internet]. World Health Organization; 2010. Available from: https://www.afro.who.int/publications/integrated-disease-surveillance-and-response-technical-guidelines-booklet-one

[20] Choi J, Cho Y, Shim E, Woo H. Web-based infectious disease surveillance systems and public health perspectives: A systematic review. Vol. 16, BMC Public Health. 2016.

[21] GSMA. Digital transformation in Tanzania The role of mobile technology and impact on development goals. 2019;52. Available from: www.gsma.com

[22] Glenton C, Paulsen E, Agarwal S, Gopinathan U, Johansen M, Kyaddondo D, et al. Healthcare workers’ informal uses of mobile devices to support their work: a qualitative evidence synthesis (Protocol). Cochrane Libr Cochrane Database Syst Rev [Internet]. 2023; Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC10361916/pdf/CD015705.pdf

[23] Ross J, Stevenson F, Lau R, Murray E. Factors that influence the implementation of e-health: A systematic review of systematic reviews (an update). Implement Sci [Internet]. 2016;11(1):1–12. Available from: http://dx.doi.org/10.1186/s13012-016-0510-7

@article{1708630,
      author = {Egbuna Hyacinth Chukwuebuka, Oparaocha Evangeline Tochi,  Iwuala Chimezie Christian,  Dozie Winnie Ugonma, Ibe Nkechinyere Onyeka Sally; Nwoke Eunice Anyalewechi},
      title = {Assessment of Awareness and Availability of E-Health Technologies in Selected Health Facilities in Imo State},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {11},
      pages = {1187-1198},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708630.pdf},
      abstract = {E-health technologies have the potential to revolutionize healthcare delivery, but their adoption and effectiveness in resource-limited settings like Nigeria remain understudied. This cross-sectional study assessed the awareness and availability of e-health technologies among 579 healthcare workers in selected health facilities in Imo State, Nigeria. While 70% of respondents were aware of e-health, only 46% understood the concept, and 24% admitted to knowing little about it. Awareness was significantly associated with facility level, years of experience, and educational attainment (p<0.05). Electronic health records (31.1%) and health information systems (26.3%) were the most common e-health technologies available, but overall availability was limited. Inadequate infrastructure, inconsistent internet connectivity, and insufficient maintenance posed significant barriers to e-health adoption. Although 57.3% of electronic devices were functional, 22.3% were slightly damaged, and 20.4% were completely damaged. Service disruptions due to poor network connectivity were frequent, ranging from rarely (28.8%) to many times a day (18.0%). E-health availability was not uniform across departments, with some units like consulting clinics (25.5%) and HIV/AIDS treatment clinics (33.9%) having more access. The study highlights the need for targeted training, improved infrastructure, and consistent technical support to realize the full potential of e-health in enhancing healthcare delivery and patient outcomes in Nigeria.},
      keywords = {E-health technologies, Healthcare workers, Resource-limited settings, Electronic health records, Health information systems},
      month = {May},
  }