Display options
Cite
Osei E, Agyei K, Tlou B, et al. Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey. Diagnostics (Basel). 2021;11(7)doi: 10.3390/diagnostics11071233.
Osei, E., Agyei, K., Tlou, B., & Mashamba-Thompson, T. P. (2021). Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey. Diagnostics (Basel, Switzerland), 11(7), . https://doi.org/10.3390/diagnostics11071233
Osei, Ernest, et al. "Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey." Diagnostics (Basel, Switzerland) vol. 11,7 (2021). doi: https://doi.org/10.3390/diagnostics11071233
Osei E, Agyei K, Tlou B, Mashamba-Thompson TP. Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey. Diagnostics (Basel). 2021 Jul 09;11(7). doi: 10.3390/diagnostics11071233. PMID: 34359316; PMCID: PMC8307884.
Copy Download .nbib Format: NLM
Share it on

Diagnostics (Basel). 2021 Jul 09;11(7). doi: 10.3390/diagnostics11071233.

Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey.

Diagnostics (Basel, Switzerland)

Ernest Osei, Kwasi Agyei, Boikhutso Tlou, Tivani P Mashamba-Thompson

Affiliations

  1. Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban 4001, South Africa.
  2. School of Business, Spiritan University College, Kumasi, Ghana.
  3. Faculty of Health Sciences, University of Pretoria, Pretoria 0001, South Africa.

PMID: 34359316 PMCID: PMC8307884 DOI: 10.3390/diagnostics11071233

Abstract

Mobile health (mHealth) technologies have been identified as promising strategies for improving access to healthcare delivery and patient outcomes. However, the extent of availability and use of mHealth among healthcare professionals in Ghana is not known. The study's main objective was to examine the availability and use of mHealth for disease diagnosis and treatment support by healthcare professionals in the Ashanti Region of Ghana. A cross-sectional survey was carried out among 285 healthcare professionals across 100 primary healthcare clinics in the Ashanti Region with an adopted survey tool. We obtained data on the participants' background, available health infrastructure, healthcare workforce competency, ownership of a mobile wireless device, usefulness of mHealth, ease of use of mHealth, user satisfaction, and behavioural intention to use mHealth. Descriptive statistics were conducted to characterise healthcare professionals' demographics and clinical features. Multivariate logistic regression analysis was performed to explore the influence of the demographic factors on the availability and use of mHealth for disease diagnosis and treatment support. STATA version 15 was used to complete all the statistical analyses. Out of the 285 healthcare professionals, 64.91% indicated that mHealth is available to them, while 35.08% have no access to mHealth. Of the 185 healthcare professionals who have access to mHealth, 98.4% are currently using mHealth to support healthcare delivery. Logistic regression model analysis significantly (

Keywords: disease diagnosis; mHealth applications; sub-Saharan Africa; treatment support

References

  1. Heliyon. 2019 Feb 19;5(2):e01236 - PubMed
  2. Ghana Med J. 2012 Jun;46(2 Suppl):12-7 - PubMed
  3. Ghana Med J. 2020 Sep;54(3):140-145 - PubMed
  4. BMC Psychiatry. 2016 Nov 8;16(1):378 - PubMed
  5. AIDS. 2016 May 15;30(8):1295-300 - PubMed
  6. Cochrane Database Syst Rev. 2012 Dec 12;12:CD007459 - PubMed
  7. BMC Infect Dis. 2019 Sep 18;19(1):810 - PubMed
  8. PLoS One. 2016 Apr 14;11(4):e0153612 - PubMed
  9. Heliyon. 2021 Mar 31;7(3):e06639 - PubMed
  10. J Med Internet Res. 2018 May 04;20(5):e162 - PubMed
  11. Methods Inf Med. 2017 Aug 08;56(7):e105-e122 - PubMed
  12. Lancet Digit Health. 2020 Aug;2(8):e435-e440 - PubMed
  13. Nat Med. 2020 Aug;26(8):1183-1192 - PubMed
  14. PLoS One. 2017 Apr 18;12(4):e0176051 - PubMed
  15. JAMA. 2013 Dec 11;310(22):2395-6 - PubMed
  16. JAMA. 2015 Jan 27;313(4):353-4 - PubMed
  17. J Am Med Inform Assoc. 2020 Jul 1;27(7):1147-1148 - PubMed
  18. Medicine (Baltimore). 2019 Mar;98(13):e14600 - PubMed
  19. Cad Saude Publica. 2020;36(5):e00088920 - PubMed
  20. BMJ. 2016 Mar 17;352:i1174 - PubMed
  21. BMJ. 2020 Mar 25;368:m1182 - PubMed
  22. J Am Board Fam Med. 2014 Nov-Dec;27(6):780-8 - PubMed
  23. BMJ Glob Health. 2018 Apr 24;3(Suppl 2):e000722 - PubMed
  24. PLoS One. 2016 Jun 27;11(6):e0158361 - PubMed
  25. JMIR Aging. 2019 May 15;2(1):e13864 - PubMed
  26. Science. 2014 Sep 12;345(6202):1284-7 - PubMed
  27. Indian J Med Res. 2020 May;151(5):468-473 - PubMed
  28. Int J Qual Health Care. 2019 Oct 31;31(8):577-582 - PubMed
  29. J Public Health (Oxf). 2017 Sep 1;39(3):616-624 - PubMed
  30. Biomed Res Int. 2019 May 2;2019:4562904 - PubMed
  31. BMC Med Inform Decis Mak. 2021 Jan 6;21(1):11 - PubMed

Publication Types