Cargando…

Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India

BACKGROUND: Many public health programs and interventions across the world increasingly rely on using information and communications technology (ICT) tools to train and sensitize health professionals. However, the effects of such programs on provider knowledge, practice, and patient health outcomes...

Descripción completa

Detalles Bibliográficos
Autores principales: Tyagi, Hanu, Sabharwal, Manisha, Dixit, Nishi, Pal, Arnab, Deo, Sarang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078634/
https://www.ncbi.nlm.nih.gov/pubmed/32130191
http://dx.doi.org/10.2196/15998
_version_ 1783507661156777984
author Tyagi, Hanu
Sabharwal, Manisha
Dixit, Nishi
Pal, Arnab
Deo, Sarang
author_facet Tyagi, Hanu
Sabharwal, Manisha
Dixit, Nishi
Pal, Arnab
Deo, Sarang
author_sort Tyagi, Hanu
collection PubMed
description BACKGROUND: Many public health programs and interventions across the world increasingly rely on using information and communications technology (ICT) tools to train and sensitize health professionals. However, the effects of such programs on provider knowledge, practice, and patient health outcomes have been inconsistent. One of the reasons for the varied effectiveness of these programs is the low and varying levels of provider engagement, which, in turn, could be because of the form and mode of content used. Tailoring instructional content could improve engagement, but it is expensive and logistically demanding to do so with traditional training OBJECTIVE: This study aimed to discover preferences among providers on the form (articles or videos), mode (featuring peers or experts), and length (short or long) of the instructional content; to quantify the extent to which differences in these preferences can explain variation in provider engagement with ICT-based training interventions; and to compare the power of content preferences to explain provider engagement against that of demographic variables. METHODS: We used data from a mobile phone–based intervention focused on improving tuberculosis diagnostic practices among 24,949 private providers from 5 specialties and 1734 cities over 1 year. Engagement time was used as the primary outcome to assess provider engagement. K-means clustering was used to segment providers based on the proportion of engagement time spent on content formats, modes, and lengths to discover their content preferences. The identified clusters were used to predict engagement time using a linear regression model. Subsequently, we compared the accuracy of the cluster-based prediction model with one based on demographic variables of providers (eg, specialty and geographic location). RESULTS: The average engagement time across all providers was 7.5 min (median 0, IQR 0-1.58). A total of 69.75% (17,401/24,949) of providers did not consume any content. The average engagement time for providers with nonzero engagement time was 24.8 min (median 4.9, IQR 2.2-10.1). We identified 4 clusters of providers with distinct preferences for form, mode, and length of content. These clusters explained a substantially higher proportion of the variation in engagement time compared with demographic variables (32.9% vs 1.0%) and yielded a more accurate prediction for the engagement time (root mean square error: 4.29 vs 5.21 and mean absolute error: 3.30 vs 4.26). CONCLUSIONS: Providers participating in a mobile phone–based digital campaign have inherent preferences for instructional content. Targeting providers based on individual content preferences could result in higher provider engagement as compared to targeting providers based on demographic variables.
format Online
Article
Text
id pubmed-7078634
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-70786342020-03-25 Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India Tyagi, Hanu Sabharwal, Manisha Dixit, Nishi Pal, Arnab Deo, Sarang JMIR Mhealth Uhealth Original Paper BACKGROUND: Many public health programs and interventions across the world increasingly rely on using information and communications technology (ICT) tools to train and sensitize health professionals. However, the effects of such programs on provider knowledge, practice, and patient health outcomes have been inconsistent. One of the reasons for the varied effectiveness of these programs is the low and varying levels of provider engagement, which, in turn, could be because of the form and mode of content used. Tailoring instructional content could improve engagement, but it is expensive and logistically demanding to do so with traditional training OBJECTIVE: This study aimed to discover preferences among providers on the form (articles or videos), mode (featuring peers or experts), and length (short or long) of the instructional content; to quantify the extent to which differences in these preferences can explain variation in provider engagement with ICT-based training interventions; and to compare the power of content preferences to explain provider engagement against that of demographic variables. METHODS: We used data from a mobile phone–based intervention focused on improving tuberculosis diagnostic practices among 24,949 private providers from 5 specialties and 1734 cities over 1 year. Engagement time was used as the primary outcome to assess provider engagement. K-means clustering was used to segment providers based on the proportion of engagement time spent on content formats, modes, and lengths to discover their content preferences. The identified clusters were used to predict engagement time using a linear regression model. Subsequently, we compared the accuracy of the cluster-based prediction model with one based on demographic variables of providers (eg, specialty and geographic location). RESULTS: The average engagement time across all providers was 7.5 min (median 0, IQR 0-1.58). A total of 69.75% (17,401/24,949) of providers did not consume any content. The average engagement time for providers with nonzero engagement time was 24.8 min (median 4.9, IQR 2.2-10.1). We identified 4 clusters of providers with distinct preferences for form, mode, and length of content. These clusters explained a substantially higher proportion of the variation in engagement time compared with demographic variables (32.9% vs 1.0%) and yielded a more accurate prediction for the engagement time (root mean square error: 4.29 vs 5.21 and mean absolute error: 3.30 vs 4.26). CONCLUSIONS: Providers participating in a mobile phone–based digital campaign have inherent preferences for instructional content. Targeting providers based on individual content preferences could result in higher provider engagement as compared to targeting providers based on demographic variables. JMIR Publications 2020-03-03 /pmc/articles/PMC7078634/ /pubmed/32130191 http://dx.doi.org/10.2196/15998 Text en ©Hanu Tyagi, Manisha Sabharwal, Nishi Dixit, Arnab Pal, Sarang Deo. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 03.03.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Tyagi, Hanu
Sabharwal, Manisha
Dixit, Nishi
Pal, Arnab
Deo, Sarang
Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India
title Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India
title_full Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India
title_fullStr Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India
title_full_unstemmed Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India
title_short Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India
title_sort leveraging providers’ preferences to customize instructional content in information and communications technology–based training interventions: retrospective analysis of a mobile phone–based intervention in india
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078634/
https://www.ncbi.nlm.nih.gov/pubmed/32130191
http://dx.doi.org/10.2196/15998
work_keys_str_mv AT tyagihanu leveragingproviderspreferencestocustomizeinstructionalcontentininformationandcommunicationstechnologybasedtraininginterventionsretrospectiveanalysisofamobilephonebasedinterventioninindia
AT sabharwalmanisha leveragingproviderspreferencestocustomizeinstructionalcontentininformationandcommunicationstechnologybasedtraininginterventionsretrospectiveanalysisofamobilephonebasedinterventioninindia
AT dixitnishi leveragingproviderspreferencestocustomizeinstructionalcontentininformationandcommunicationstechnologybasedtraininginterventionsretrospectiveanalysisofamobilephonebasedinterventioninindia
AT palarnab leveragingproviderspreferencestocustomizeinstructionalcontentininformationandcommunicationstechnologybasedtraininginterventionsretrospectiveanalysisofamobilephonebasedinterventioninindia
AT deosarang leveragingproviderspreferencestocustomizeinstructionalcontentininformationandcommunicationstechnologybasedtraininginterventionsretrospectiveanalysisofamobilephonebasedinterventioninindia