Faculty, Staff and Student Publications

Language

English

Publication Date

5-7-2024

Journal

Addiction Science & Clinical Practice

DOI

10.1186/s13722-024-00462-w

PMID

38715116

PMCID

PMC11075359

PubMedCentral® Posted Date

5-7-2024

PubMedCentral® Full Text Version

Post-print

Abstract

Background: Digital technologies have positively impacted the availability and usability of clinical algorithms through the advancement in mobile health. Therefore, this study aimed to determine if a web-based algorithm designed to support the decision-making process of cancer care providers (CCPs) differentially impacted their self-reported self-efficacy and practices for providing smoking prevention and cessation services in Peru and Colombia.

Methods: A simple decision-making tree algorithm was built in REDCap using information from an extensive review of the currently available smoking prevention and cessation resources. We employed a pre-post study design with a mixed-methods approach among 53 CCPs in Peru and Colombia for pilot-testing the web-based algorithm during a 3-month period. Wilcoxon signed-rank test was used to compare the CCPs' self-efficacy and practices before and after using the web-based algorithm. The usability of the web-based algorithm was quantitatively measured with the system usability scale (SUS), as well as qualitatively through the analysis of four focus groups conducted among the participating CCPs.

Results: The pre-post assessments indicated that the CCPs significantly improved their self-efficacy and practices toward smoking prevention and cessation services after using the web-based algorithm. The overall average SUS score obtained among study participants was 82.9 (± 9.33) [Peru 81.5; Colombia 84.1]. After completing the qualitative analysis of the focus groups transcripts, four themes emerged: limited resources currently available for smoking prevention and cessation in oncology settings, merits of the web-based algorithm, challenges with the web-based algorithm, and suggestions for improving this web-based decision-making tool.

Conclusion: The web-based algorithm showed high usability and was well-received by the CCPs in Colombia and Peru, promoting a preliminary improvement in their smoking prevention and cessation self-efficacy and practices.

Keywords

Humans, Smoking Cessation, Self Efficacy, Algorithms, Colombia, Male, Female, Peru, Adult, Middle Aged, Smoking Prevention, Internet, Health Personnel, Neoplasms, Cancer care providers, Smoking prevention and cessation, Latin america, mHealth, Web-based algorithm

Published Open-Access

yes

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