Irene Tamí-Maury, Samuel Tundealao, Valeri Noé-Díaz, Esperanza Garcia, Vilma Diaz, Jennie Meier, Mira Dani, Tatiana Vidaurre
{"title":"利用基于网络的算法提高南美癌症护理提供者的自我效能并改进其预防和戒烟实践。","authors":"Irene Tamí-Maury, Samuel Tundealao, Valeri Noé-Díaz, Esperanza Garcia, Vilma Diaz, Jennie Meier, Mira Dani, Tatiana Vidaurre","doi":"10.1186/s13722-024-00462-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":54223,"journal":{"name":"Addiction Science & Clinical Practice","volume":"19 1","pages":"36"},"PeriodicalIF":3.7000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11075359/pdf/","citationCount":"0","resultStr":"{\"title\":\"Boosting self-efficacy and improving practices for smoking prevention and cessation among South American cancer care providers with a web-based algorithm.\",\"authors\":\"Irene Tamí-Maury, Samuel Tundealao, Valeri Noé-Díaz, Esperanza Garcia, Vilma Diaz, Jennie Meier, Mira Dani, Tatiana Vidaurre\",\"doi\":\"10.1186/s13722-024-00462-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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]. 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Boosting self-efficacy and improving practices for smoking prevention and cessation among South American cancer care providers with a web-based algorithm.
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.
期刊介绍：
Addiction Science & Clinical Practice provides a forum for clinically relevant research and perspectives that contribute to improving the quality of care for people with unhealthy alcohol, tobacco, or other drug use and addictive behaviours across a spectrum of clinical settings.
Addiction Science & Clinical Practice accepts articles of clinical relevance related to the prevention and treatment of unhealthy alcohol, tobacco, and other drug use across the spectrum of clinical settings. Topics of interest address issues related to the following: the spectrum of unhealthy use of alcohol, tobacco, and other drugs among the range of affected persons (e.g., not limited by age, race/ethnicity, gender, or sexual orientation); the array of clinical prevention and treatment practices (from health messages, to identification and early intervention, to more extensive interventions including counseling and pharmacotherapy and other management strategies); and identification and management of medical, psychiatric, social, and other health consequences of substance use.
Addiction Science & Clinical Practice is particularly interested in articles that address how to improve the quality of care for people with unhealthy substance use and related conditions as described in the (US) Institute of Medicine report, Improving the Quality of Healthcare for Mental Health and Substance Use Conditions (Washington, DC: National Academies Press, 2006). Such articles address the quality of care and of health services. Although the journal also welcomes submissions that address these conditions in addiction speciality-treatment settings, the journal is particularly interested in including articles that address unhealthy use outside these settings, including experience with novel models of care and outcomes, and outcomes of research-practice collaborations.
Although Addiction Science & Clinical Practice is generally not an outlet for basic science research, we will accept basic science research manuscripts that have clearly described potential clinical relevance and are accessible to audiences outside a narrow laboratory research field.
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