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Exploring computer-aided health decision-making on cervical cancer interventions through deliberative interviews in Ethiopia

Cervical cancer is a significant disease burden in Ethiopia. Mathematical models and computer simulations on disease dynamics can support effective resource allocation. The objectives of this work are (i) to explore the perspectives of health decision-makers on computer-aided predictions supporting...

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Main Authors: Sy, Frithjof (Author) , Berner-Rodoreda, Astrid (Author) , Asnake, Takelech (Author) , Getnet, Misrak (Author) , Amogne, Wondwossen (Author) , Bussmann, Hermann (Author) , Abera, Helen (Author) , Bärnighausen, Till (Author) , Deckert, Andreas (Author)
Format: Article (Journal)
Language:English
Published: 17 April 2023
In: npj digital medicine
Year: 2023, Volume: 6, Pages: 1-8
ISSN:2398-6352
DOI:10.1038/s41746-023-00808-9
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41746-023-00808-9
Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41746-023-00808-9
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Author Notes:Frithjof Sy, Astrid Berner-Rodoreda, Takelech Asnake, Misrak Getnet, Wondwossen Amogne, Hermann Bussmann, Helen Abera, Till Bärnighausen and Andreas Deckert
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Summary:Cervical cancer is a significant disease burden in Ethiopia. Mathematical models and computer simulations on disease dynamics can support effective resource allocation. The objectives of this work are (i) to explore the perspectives of health decision-makers on computer-aided predictions supporting cervical cancer interventions, (ii) to identify their information needs from these predictions, and (iii) their willingness to apply the results in their work. We conducted deliberative interviews with 15 health decision-makers and advisors in Ethiopia in autumn 2019. We analyze the data using a five steps framework approach drawing on thematic analysis and find that Ethiopian health decision-makers are willing to use computer-aided predictions in their decisions. Data on HPV prevalence and the cervical cancer burden are scarce but valued highly and decision-makers are particularly interested in the identification of local HPV hotspots. Data-driven mathematical models and computer simulations may increasingly influence health decision-making in Ethiopia.
Item Description:Gesehen am 15.06.2023
Physical Description:Online Resource
ISSN:2398-6352
DOI:10.1038/s41746-023-00808-9

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