Digital health literacy to share COVID-19 related information and associated factors among healthcare providers worked at COVID-19 treatment centers in Amhara region, Ethiopia: A cross-sectional survey

Coronavirus (CoV) is a novel respiratory virus that can cause severe acute respiratory syndrome (SARS). It affects millions of people in the world and thousands of people in Ethiopia. In responding to this, digital health technologies help to reduce COVID-19 outbreaks by sharing accurate and timely...

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Veröffentlicht in:Informatics in medicine unlocked 2022, Vol.30, p.100934-100934, Article 100934
Hauptverfasser: Chereka, Alex Ayenew, Demsash, Addisalem Workie, Ngusie, Habtamu Setegn, Kassie, Sisay Yitayih
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Sprache:eng
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Zusammenfassung:Coronavirus (CoV) is a novel respiratory virus that can cause severe acute respiratory syndrome (SARS). It affects millions of people in the world and thousands of people in Ethiopia. In responding to this, digital health technologies help to reduce COVID-19 outbreaks by sharing accurate and timely COVID-19 related information. Additionally, digital solutions are used for remote consulting during the pandemic, in creating COVID-19 related awareness, for distribution of the vaccine, and so on. Therefore, this study aimed to assess digital health literacy to share COVID-19 related information and associated factors among healthcare providers who worked at COVID-19 treatment centers in the Amhara region, Northwest Ethiopia. An institutional-based cross-sectional survey was conducted from April 4 to May 4, 2021. The study included 476 healthcare providers who worked at COVID-19 treatment centers in the Amhara region. A pretested, structured self-administered questionnaire was used to collect data. EpiData 4.6 and SPSS version 26 were used for data entry and analysis respectively. Bi-variable and Multivariable logistic regression analysis was used to identify factors associated with the dependent variable. A P-value of less than 0.05 was used to declare statistical significance. A total of 456 respondents were participated in the study, with 95.8% response rate. Digital health literacy to share COVID-19 related information found to be 50.4% (95% CI: 46–55). Educational status [AOR = 4.37, 95% CI(2.08–9.17)], training [AOR = 3.00, 95% CI (1.80–5.00)], attitude [AOR = 1.99, 95% CI(1.18–3.36)], perceived usefulness [AOR = 2.01, 95% CI(1.22–3.32)], perceived ease of use [AOR = 2.00, 95% CI(1.25–3.21)] and smartphone access [AOR = 5.21, 95% CI(2.34–9.62)] were significantly associated with digital health literacy to sharing of COVID-19 related information at P-value less than 0.05. This finding indicated that approximately half of the respondents had digital health literacy to share COVID-19 related information which was inadequate. Improving respondents’ educational status, computer training, smartphone access, perceived usefulness, perceived ease of use, and attitude was necessary to measure digital health literacy to sharing of COVID-19 related information.
ISSN:2352-9148
2352-9148
DOI:10.1016/j.imu.2022.100934