Digital Health Literacy During the COVID-19 Pandemic Among Health Care Providers in Resource-Limited Settings: Cross-sectional Study.
COVID-19
Ethiopia
digital literacy
digital, health
education
health professionals
knowledge
literacy
perception
professionals
skills
training
use
Journal
JMIR nursing
ISSN: 2562-7600
Titre abrégé: JMIR Nurs
Pays: Canada
ID NLM: 101771299
Informations de publication
Date de publication:
14 Nov 2022
14 Nov 2022
Historique:
received:
26
05
2022
accepted:
28
06
2022
revised:
25
06
2022
pubmed:
28
10
2022
medline:
28
10
2022
entrez:
27
10
2022
Statut:
epublish
Résumé
Digital health literacy is the use of information and communication technology to support health and health care. Digital health literacy is becoming increasingly important as individuals continue to seek medical advice from various web-based sources, especially social media, during the pandemics such as COVID-19. The study aimed to assess health professionals' digital health literacy level and associated factors in Southwest Ethiopia in 2021. An institution-based cross-sectional study was conducted from January to April 2021 in Ethiopia. Simple random sampling technique was used to select 423 study participants among health professionals. SPSS (version 20) software was used for data entry and analysis. A pretested self-administered questionnaire was used to collect the required data. Multivariable logistic regression was used to examine the association between the digital health literacy skill and associated factors. Significance value was obtained at 95% CI and P<.05. In total, 401 study subjects participated in the study. Overall, 43.6% (n=176) of respondents had high digital health literacy skills. High computer literacy (adjusted odds ratio [AOR] 4.43, 95% CI 2.34-5.67; P=.01); master's degree and above (AOR 3.42, 95% CI 2.31-4.90; P=.02); internet use (AOR 4.00, 95% CI 1.78-4.02; P=.03); perceived ease of use (AOR 2.65, 95% CI 1.35-4.65; P=.04); monthly income of >15,000 Ethiopian birr (>US $283.68; AOR 7.55, 95% CI 6.43-9.44; P<.001); good knowledge of eHealth (AOR 2.22, 95% CI 1.32-4.03; P=.04); favorable attitudes (AOR 3.11, 95% CI 2.11-4.32; P=.04); and perceived usefulness (AOR 3.43, 95% CI 2.43-5.44; P=.02) were variables associated with eHealth literacy level. In general, less than half of the study participants had a high digital health literacy level. High computer literacy, master's degree and above, frequent internet use, perceived ease to use, income of >15,000 Ethiopian birr (>US $283.68), good knowledge of digital health literacy, favorable attitude, and perceived usefulness were the most determinant factors in the study. Having high computer literacy, frequent use of internet, perceived ease of use, perceived usefulness, favorable attitude, and a high level of education will help to promote a high level of digital health literacy.
Sections du résumé
BACKGROUND
BACKGROUND
Digital health literacy is the use of information and communication technology to support health and health care. Digital health literacy is becoming increasingly important as individuals continue to seek medical advice from various web-based sources, especially social media, during the pandemics such as COVID-19.
OBJECTIVE
OBJECTIVE
The study aimed to assess health professionals' digital health literacy level and associated factors in Southwest Ethiopia in 2021.
METHODS
METHODS
An institution-based cross-sectional study was conducted from January to April 2021 in Ethiopia. Simple random sampling technique was used to select 423 study participants among health professionals. SPSS (version 20) software was used for data entry and analysis. A pretested self-administered questionnaire was used to collect the required data. Multivariable logistic regression was used to examine the association between the digital health literacy skill and associated factors. Significance value was obtained at 95% CI and P<.05.
RESULTS
RESULTS
In total, 401 study subjects participated in the study. Overall, 43.6% (n=176) of respondents had high digital health literacy skills. High computer literacy (adjusted odds ratio [AOR] 4.43, 95% CI 2.34-5.67; P=.01); master's degree and above (AOR 3.42, 95% CI 2.31-4.90; P=.02); internet use (AOR 4.00, 95% CI 1.78-4.02; P=.03); perceived ease of use (AOR 2.65, 95% CI 1.35-4.65; P=.04); monthly income of >15,000 Ethiopian birr (>US $283.68; AOR 7.55, 95% CI 6.43-9.44; P<.001); good knowledge of eHealth (AOR 2.22, 95% CI 1.32-4.03; P=.04); favorable attitudes (AOR 3.11, 95% CI 2.11-4.32; P=.04); and perceived usefulness (AOR 3.43, 95% CI 2.43-5.44; P=.02) were variables associated with eHealth literacy level.
CONCLUSIONS
CONCLUSIONS
In general, less than half of the study participants had a high digital health literacy level. High computer literacy, master's degree and above, frequent internet use, perceived ease to use, income of >15,000 Ethiopian birr (>US $283.68), good knowledge of digital health literacy, favorable attitude, and perceived usefulness were the most determinant factors in the study. Having high computer literacy, frequent use of internet, perceived ease of use, perceived usefulness, favorable attitude, and a high level of education will help to promote a high level of digital health literacy.
Identifiants
pubmed: 36301671
pii: v5i1e39866
doi: 10.2196/39866
pmc: PMC9665171
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e39866Informations de copyright
©Mohammedjud Hassen Ahmed, Habtamu Alganeh Guadie, Habtamu Setegn Ngusie, Gizaw Hailiye Teferi, Monika Knudsen Gullslett, Samuel Hailegebreal, Mekonnen Kenate Hunde, Dereje Oljira Donacho, Binyam Tilahun, Shuayib Shemsu Siraj, Gebiso Roba Debele, Mohammedamin Hajure, Shegaw Anagaw Mengiste. Originally published in JMIR Nursing (https://nursing.jmir.org), 14.11.2022.
Références
J Gerontol Nurs. 2020 Aug 1;46(8):46-56
pubmed: 32936926
Appl Clin Inform. 2021 Mar;12(2):301-309
pubmed: 33827143
J Health Commun. 2012;17 Suppl 3:23-9
pubmed: 23030559
J Med Internet Res. 2015 Mar 17;17(3):e70
pubmed: 25783036
J Med Internet Res. 2021 Jan 15;23(1):e24097
pubmed: 33395396
J Med Internet Res. 2006 Jun 16;8(2):e9
pubmed: 16867972
J Med Internet Res. 2017 Apr 25;19(4):e122
pubmed: 28442454
Patient Educ Couns. 2016 Sep;99(9):1496-504
pubmed: 27372524
J Gen Intern Med. 2021 Jan;36(1):251-253
pubmed: 33078294
Health Commun. 2021 Sep;36(10):1155-1162
pubmed: 32354233
Int Health. 2021 Sep 3;13(5):456-470
pubmed: 33170217
J Med Internet Res. 2010 Jun 11;12(2):e18
pubmed: 20542857
J Aging Health. 2010 Sep;22(6):804-26
pubmed: 20495159
BMC Public Health. 2021 Jan 9;21(1):107
pubmed: 33422042
Interact J Med Res. 2019 Apr 05;8(2):e8423
pubmed: 30950809
Adv Med Educ Pract. 2019 Sep 09;10:803-804
pubmed: 31565017
Int J Med Inform. 2010 Jun;79(6):391-400
pubmed: 20188623
BMC Med Inform Decis Mak. 2017 Sep 20;17(1):136
pubmed: 28931385
J Med Internet Res. 2019 Mar 27;21(3):e10831
pubmed: 30916666
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2020 Feb;63(2):176-184
pubmed: 31950230
BMC Health Serv Res. 2020 Nov 9;20(1):1021
pubmed: 33168002
Telemed Rep. 2020 Nov 18;1(1):8-15
pubmed: 35722252
Invest Educ Enferm. 2020 Feb;38(1):
pubmed: 32124576
Glob Health Action. 2017 Jun;10(sup3):1337356
pubmed: 28838303
Comput Inform Nurs. 2014 Sep;32(9):458-63
pubmed: 25105588
J Med Internet Res. 2015 Feb 24;17(2):e52
pubmed: 25803266
Adv Med Educ Pract. 2021 Mar 01;12:195-202
pubmed: 33688292
Inform Health Soc Care. 2017 Jan;42(1):1-17
pubmed: 26865037
Interact J Med Res. 2016 May 25;5(2):e16
pubmed: 27226146
J Med Internet Res. 2012 Jan 27;14(1):e19
pubmed: 22357448
J Med Internet Res. 2017 Oct 04;19(10):e331
pubmed: 28978496
Glob Health Action. 2012;5:1-8
pubmed: 22479235
BMC Med Inform Decis Mak. 2020 Sep 3;20(1):207
pubmed: 32883267
J Med Internet Res. 2020 Mar 13;22(3):e14492
pubmed: 32167476
Health Commun. 2018 Dec;33(12):1410-1424
pubmed: 28872905
J Med Internet Res. 2020 Jun 10;22(6):e17014
pubmed: 32519974
Health Educ Res. 2011 Apr;26(2):323-35
pubmed: 21422003
Int J Environ Res Public Health. 2021 Apr 11;18(8):
pubmed: 33920404
BMC Med Inform Decis Mak. 2015 Nov 04;15:87
pubmed: 26537731
Nurs Health Sci. 2020 Sep;22(3):667-674
pubmed: 32154981
BMC Med Inform Decis Mak. 2020 Aug 6;20(1):181
pubmed: 32762745
World Hosp Health Serv. 2005;41(1):32-40
pubmed: 15881824
J Med Internet Res. 2021 Mar 15;23(3):e17856
pubmed: 33720031
JMIR Public Health Surveill. 2015 Mar 17;1(1):e1
pubmed: 27227124
JMIR Public Health Surveill. 2020 Jan 15;6(1):e13673
pubmed: 31939747
Health Aff (Millwood). 2011 Oct;30(10):1965-73
pubmed: 21976341
J Med Internet Res. 2020 Dec 21;22(12):e19767
pubmed: 33106226
J Med Internet Res. 2017 Jan 24;19(1):e27
pubmed: 28119275
Clin Dermatol. 2001 Jan-Feb;19(1):11-7
pubmed: 11369478
JMIR Med Educ. 2021 Feb 19;7(1):e18590
pubmed: 33605896