Socio-demographic Differentials in the Knowledge of E-Health Care Delivery among Health Care Professionals in Federal Teaching Hospital Abakaliki, Ebonyi State, Nigeria

Main Article Content

C. L. Kpe- Nobana
C. E. Elechi
C. O. Aleke

Abstract

Background: The emerging and re-emerging infectious diseases in developing countries including Nigeria underscores the need for electronic health (e-Health) to improve health care delivery. This study thus determined the knowledge and socio-demographic differentials in the knowledge of e-Health care delivery among health care professionals in Federal Teaching Hospital Abakalik (FETHA) Ebonyi State, Nigeria.

Methods: The descriptive research design and a self-developed questionnaire was used for the study. Three objectives with three research questions and two null –hypotheses were postulated to guide the study. Out of a population of 2092 health workers in FETHA, 209 representing 10% were drawn through a multistage sampling technique and were studied. Frequency and percentage were used to answer research question one, while mean and standard deviation were used to answer research questions two and three. The Analysis of Variance (ANOVA) was used in testing null hypotheses one while Mann-Whitney U test was used in testing hypotheses two at .05 level of significance.

Results: The overall mean percentage of respondents was 85.6% which indicates that health care professionals in FETHA possessed a good knowledge of e-Health care delivery. The findings further indicated that health care professional in FETHA differed in their level of education with diploma and below possessing higher knowledge of e-Health care delivery (x̅=1.23) than those with B.Sc. and above (x̅=1.14). Also differed by their age (P>0.05), and level of education (P<0.05).

Conclusion: Nigerian government at all levels, through their various Ministries of Health should organize intensive ICT training and retraining of their employees, especially those with B.Sc and above.

Keywords:
Knowledge, e-health care delivery, socio-demographic difference, health care professionals.

Article Details

How to Cite
Nobana, C. L. K.-, Elechi, C. E., & Aleke, C. O. (2020). Socio-demographic Differentials in the Knowledge of E-Health Care Delivery among Health Care Professionals in Federal Teaching Hospital Abakaliki, Ebonyi State, Nigeria. International Journal of TROPICAL DISEASE & Health, 41(17), 9-17. https://doi.org/10.9734/ijtdh/2020/v41i1730370
Section
Original Research Article

References

Gour N, Srivastava D. Knowledge of computer among healthcare professionals of India: A key toward e-health. Telemed Journal of E-Health. 2010;16(9):957-62.

United Nation Foundation. Assessing the enabling environment for ICTs for Health in Nigeria: A review of policies. Federal Ministry Health. ICT4SOML; 2014. Available:www.nigeria-health-ict-policy-report

Coleman A. Migration from resource based to knowledge based strategy for e-health implementation in developing countries; 2014. Available:https://www.krepublishers.com/Coleman JC-5-1-001-14-114-Coleman-A-Ab [1]

World Health Organisation. e-Health. The Bulletin Series; 2016. Available:http://www.who.int/topics/e-Health/en/ (Accessed 6 October 2019)

International Telecommunication Union. Implementing e-Health in developing countries: Guidance and principles; 2016. Geneva: International Telecommunication Union; 2016.

Fox S, Jones S. The social life of health information. Washington, DC: Pew Internet & American Life Project; 2009. Available:http://www.pewinternet.org/Reports/2011/Social-Life-of-Health-Info/Summary

Fox S, Purcell K. Chronic disease and the internet. Washington, DC: Pew Internet & American Life Project; 2010. Available:http://www.pewinternet.org/Reports/2010/Chronic-Disease/Summary-of-Findings.aspx

Fox S, Duggan M. Health online. Washington, DC: Pew Internet & American Life; 2013. Available:http://www.pewinternet.org/Reports/2013/Health-online/Summary-of-Findings

Kreps GL, Neuhauser L. New directions in e-Health communication: Opportunities and challenges. Patient Educ Couns. 2010;78(3):329–36.

Bock BC, Graham AL, Whiteley JA, Stoddard JL. A review of web-assisted tobacco interventions (WATIs). J Med Internet Res. 2008;10(5):e39. Available:http://www.jmir.org/2008/5/e39/

Lindsay S, Smith S, Bellaby P, Baker R. The health impact of an online heart disease support group: A comparison of moderated versus unmoderated support. Health Educ Res. 2009;24(4):646–54. Available:http://her.oxfordjournals.org/cgi/pmidlookup?view=long&pmid=19251770

Smith DT, Carr LJ, Dorozynski C, Gomashe C. Internet-delivered lifestyle physical activity intervention: Limited inflammation and antioxidant capacity efficacy in overweight adults. J Appl Physiol. 2009;106(1):49–56. Available:http://jap.physiology.org/cgi/pmidlookup?view=long&pmid=19008491

Steele RM, Mummery WK, Dwyer T. A comparison of face-to-face or internet-delivered physical activity intervention on targeted determinants. Health Educ Behav. 2009;36(6):1051–64.

Graham AL, Cobb NK, Papandonatos GD, Moreno JL, Kang H, Tinkelman DG, Bock BC, Niaura RS, Abrams DB. A randomized trial of internet and telephone treatment for smoking cessation. Arch Intern Med. 2011;171(1):46–53. Available:http://europepmc.org/abstract/MED/21220660

Vuong AM, Huber JC, Bolin JN, Ory MG, Moudouni DM, Helduser J, Begaye D, Bonner TJ, Forjuoh SN. Factors affecting acceptability and usability of technological approaches to diabetes self-management: A case study. Diabetes Technol Ther. 2012;14(12):1178–82. Available:http://europepmc.org/abstract/MED/23013155

Kuijpers W, Groen WG, Aaronson NK, van Harten WH. A systematic review of web-based interventions for patient empowerment and physical activity in chronic diseases: Relevance for cancer survivors. J Med Internet Res. 2013;15(2):e37. Available:http://www.jmir.org/2013/2/e37/

Cobb NK, Graham AL, Byron MJ, Niaura RS, Abrams DB. Workshop participants online social networks and smoking cessation: A scientific research agenda. J Med Internet Res. 2011;13(4):e119. Available:http://www.jmir.org/2011/4/e119/

Muessig KE, Pike EC, Fowler B, LeGrand S, Parsons JT, Bull SS, Wilson PA, Wohl DA, Hightow-Weidman LB. Putting prevention in their pockets: Developing mobile phone-based HIV interventions for black men who have sex with men. AIDS Patient Care STDS. 2013;27(4):211–22. Available:http://europepmc.org/abstract/MED/23565925

Hebden L, Balestracci K, McGeechan K, Denney-Wilson E, Harris M, Bauman A, Allman-Farinelli M. 'TXT2BFiT' a mobile phone-based healthy lifestyle program for preventing unhealthy weight gain in young adults: Study protocol for a randomized controlled trial. Trials. 2013;14:75. Available:http://www.trialsjournal.com/content/14//75

Richards H, King G, Reid M, Selvaraj S, McNicol I, Brebner E. Remote working: Survey of attitudes to e-Health of doctors and nurses in rural general practices in the United Kingdom. Fam Pract. 2005;22(1):2–7.

Sukums F, Mensah N, Mpembeni R, Kaltschmidt J, Haefeli WE, Blank A. Health workers' knowledge of and attitudes towards computer applications in rural African health facilities. Glob Health Action. 2014;7(24):534.

Fabienne R, Janienke S, Lisette JWB, Eveline JMW. Sociodemographic factors influencing the use of E-health in people with chronic diseases. International Journal Environmental Research Public Health. 2019;16(5):645. Available:www.mdpi.com/journal/ijerph

Nwana OC, Thomas Nelson. Introduction to educational research. Ibadan; 1990.

Olaitan SO, Ali A, Ejoh EO, Sowande KG. Research skills in education and social sciences. Owerri: Cape Publishers International Ltd; 2000.

Adeleke IB, Salami AA, Achinbee M, Anamah TC, Zakari IB, Wasagi MH. ICT knowledge, utilization and perception among healthcare providers at National Hospital Abuja, Nigeria American Journal of Health Research. 2015;3(1):47- 53.

Alwan K, Awoke AT, Tilahun B. Knowledge and utilization of computers among health professionals in a developing country: A cross-sectional study. Journal of Medical Internet Research Hum Factors. 2015;2(1):10-21. Available:96/humanfactors.4184

Ruxwana NL, Herselman ME, Conradie DP. ICT applications as e-health solutions in rural healthcare in the Eastern Cape Province of South Africa. HIM J. 2010;39(1):17-26.

Hofstede J, de Bie J, van Wijngaarden B, Heijmans M. Knowledge, use and attitude toward health among patients with chronic lung diseases. Int. J. Med. Inform. 2014;83(3):967–974.

Kamis K, Janevic MR, Marinec N, Jantz R, Valverde H, Piette JD. A study of mobile phone use among patients with non-communicable diseases in La Paz, Bolivia: Implications for m health research and development. Globalization and Health. 2015;11. DOI: 10.1186/s12992-015-0115-y

Anglada-Martínez H, Rovira-Illamola M, Martin-Conde M, Sotoca-Momblona JM, Codina-Jané CM. Health intervention to improve medication management in chronically ill patients: Analysis of the recruitment process. Postgrad. Med. 2016;128:427–431.

Duplaga M. A cross-sectional study assessing determinants of the attitude to the introduction of eHealth services among patients suffering from chronic conditions. BMC Med. Inform. Decis. Mak. 2015;15. DOI: 10.1186/s12911-015-0157-3

Nelson LA, Mulvaney SA, Gebretsadik T, Ho YX, Johnson KB, Osborn CY. Disparities in the use of mhealth medication adherence promotion intervention for low-income adults with type 2 diabetes. JAMIA. 2016;23(1):12–18.

Samiei V, Wan Puteh SE, Abdul Manaf MR. Are Malaysian diabetic patients ready to use the new generation of health care service delivery? A telehealth interest assessment. Malays. J. Med. Sci. 2016;23(3):44–52.

Smith R, Menon J, Rajeev JG, Feinberg Kumar RK, Banerjee A. Potential for the use of mHealth in the management of cardiovascular disease in Kerala: A qualitative study. BMJ Open. 2015;5: e009367–e009367.

Drewes C, Kirkovits T, Schiltz D, Schinkoethe T, Haidinger R, Goldmann-Posch U, Harbeck N, Wuerstlein R. E-Health acceptance and new media preferences for therapy assistance among breast cancer patients. JMIR Cancer. 2016;2:e13.

Saied A, Sherry SJ, Castricone DJ, Perry KM, Katz SC, Somasundar P. Age-related trends in utilization of the internet and electronic communication devices for coordination of cancer care in elderly patients. J. Geriatr. Oncol. 2014;5(3):185–189.

Whittemore R, Jaser SS, Faulkner MS, Murphy K, Delamater A, Grey M. Type 1 diabetes ehealth psychoeducation: Youth recruitment, participation and satisfaction. J. Med. Internet Res. 2013;15(1):1–16.

Mishra A, Tiwari NK. Green communication: An effective approach to minimize risk of forgetfulness from mobile phone usage. E-health Telecommunication Systems and Networks. 2014;3:1-7. Available:http://dx.doi.org/10.4236/etsn.2014.31001

Rho MJ, Kim HS, Yoon KH, Choi IY. Compliance patterns and utilization of e-health for glucose monitoring: Standalone internet gateway and tablet device. Telemed. J. E. Health. 2017;23(3):298–304.

Rixon LP, Hirani S, Cartwright M, Beynon M, Selva A, Sanders CP, Newman S. What influences withdrawal because of rejection of telehealth – The whole systems demonstrator evaluation. J. Assist. Technol. 2013;7(7):219–227.

Sarkar U, Piette JD, Gonzales R, Lessler D, Chew LD, Reilly B, Johnson J, Brunt M, Huang J, Regenstein M. Preferences for self-management support: Findings from a survey of diabetes patients in safety-net health systems. Patient Educ. Couns. 2008;70:102–110.

Song L, Tatum K, Greene G, Chen RC. EHealth literacy and partner involvement in treatment decision making for men with newly diagnosed localized prostate cancer. Oncol. Nurs. Forum. 2017;44(2):225–233.

Terschüren C, Mensing M, Mekel OC. Is telemonitoring an option against shortage of physicians in rural regions? Attitude towards telemedical devices in the North Rhine-Westphalian Health Survey, Germany. BMC Health Serv. Res. 2012;12. DOI: 10.1186/1472-6963-12-95

LaMonica HM, English A, Hickie IB, Ip J, Ireland C, West S, Shaw T, Mowszowski L, Glozier N, Duffy S. Examining internet and eHealth practices and preferences: Survey study of Australian older adults with subjective memory complaints, mild cognitive impairment, or dementia. J. Med. Internet Res. 2017;19(1):1–16.