Evidence map›Paper›PMID 36301671›Full record

ArticleJMIR nursing2022

Digital Health Literacy During the COVID-19 Pandemic Among Health Care Providers in Resource-Limited Settings: Cross-sectional Study.

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 and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Mohammedjud Hassen AhmedDepartment of Health Informatics, College of Public Health and Medical Sciences, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0002-3909-6527
Habtamu Alganeh GuadieSchool of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.ORCID https://orcid.org/0000-0002-5711-5752
Habtamu Setegn NgusieDepartment of Health Informatics, College of Public Health and Medical Sciences, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0002-5477-9748
Gizaw Hailiye TeferiDepartment of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia.ORCID https://orcid.org/0000-0002-8187-2366
Monika Knudsen GullslettFaculty of Health and Social Science, University of South-East Norway, Drammen, Norway.ORCID https://orcid.org/0000-0002-8983-5770
Samuel HailegebrealDepartment of Health Informatics, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia.ORCID https://orcid.org/0000-0003-0887-7803
Mekonnen Kenate HundeDepartment of Social Sciences, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0002-0479-013X
Dereje Oljira DonachoDepartment of Health Informatics, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0001-6145-2914
Binyam TilahunDepartment of Health Informatics, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-1813-167X
Shuayib Shemsu SirajDepartment of Public Health, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0002-7630-9579
Gebiso Roba DebeleDepartment of Public Health, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0002-9788-5022
Mohammedamin HajureDepartment of Psychiatry, Mettu University, Mettu, Ethiopia.ORCID https://orcid.org/0000-0002-4596-9611
Shegaw Anagaw MengisteDepartment of Management Information Systems, University of South East Norway, Drammen, Norway.ORCID https://orcid.org/0000-0003-4617-3102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital 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.

objectiveThe study aimed to assess health professionals' digital health literacy level and associated factors in Southwest Ethiopia in 2021.

methodsAn 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.

resultsIn 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.

conclusionsIn 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.

Indexed as

COVID-19digital, healthdigital literacyeducationEthiopiahealth professionalsknowledgeliteracyperceptionprofessionalsskillstraininguse

Identifiers

PMID36301671
PMCPMC9665171

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.