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Healthcare providers’ awareness of a mobile-based app for disease classification in northwest Ethiopia: A multilevel logistic regression analysis

Author

Listed:
  • Adamu Takele Jemere
  • Tesfahun Melese Yilma
  • Lemma Derseh Gezie
  • Shegaw Anagaw Mengiste
  • Monika Knudsen Gullslett
  • Jens Johan Kaasbøll
  • Binyam Tilahun

Abstract

Background: Mobile health (mHealth) apps improve healthcare providers’ accurate disease classification in resource-limited settings. Ethiopia recently introduced the National Health Data Dictionary (NHDD) mobile app for disease classification; however, healthcare providers’ awareness of it remains unknown. This study aimed to assess awareness of mobile-based disease classification apps among healthcare providers working in public health facilities in northwest Ethiopia and to determine the factors associated with this awareness. Methods: A facility-based cross-sectional study was conducted among 423 healthcare providers working at 19 public health facilities in northwest Ethiopia from October 1 to 25, 2023. Data were collected using a pre-tested self-administered questionnaire. Awareness was defined as being aware of the existence of a mobile app (NHDD) for disease classification. Multilevel logistic regression analysis was used to account for clustering at the health facility level. Adjusted Odds Ratio (AOR) with 95% confidence interval (CI) was used to identify associated factors. Results: Only 30.73% (95% CI: 26.30%−35.55%) of healthcare providers were aware of a mobile-based app for disease classification. Healthcare providers having social media accounts (AOR = 13.96; 95% CI: 2.33–83.64), ever visited the medical field by a mobile phone (AOR = 2.39; 95% CI: 1.03–5.51), digital literacy (AOR = 6.13; 95% CI: 1.50–25.01), awareness of the ESV-ICD-11 booklet on paper (AOR = 2.34; 95% CI: 1.06–5.18), and access to ESV-ICD-11 training or mentorship (AOR = 2.93; 95% CI: 1.25–6.87) were factors associated with awareness. Conclusions: About one-third of healthcare providers are aware of the mobile-based disease classification app. Social media use, digital literacy, prior mobile use for the medical field, familiarity with the paper-based ESV-ICD-11 booklet, and ESV-ICD-11 training or mentorship were associated factors with awareness. Targeted awareness creation interventions could be considered to support the success of mobile-based app implementation in Ethiopia.

Suggested Citation

  • Adamu Takele Jemere & Tesfahun Melese Yilma & Lemma Derseh Gezie & Shegaw Anagaw Mengiste & Monika Knudsen Gullslett & Jens Johan Kaasbøll & Binyam Tilahun, 2026. "Healthcare providers’ awareness of a mobile-based app for disease classification in northwest Ethiopia: A multilevel logistic regression analysis," PLOS ONE, Public Library of Science, vol. 21(5), pages 1-12, May.
  • Handle: RePEc:plo:pone00:0348362
    DOI: 10.1371/journal.pone.0348362
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