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What matters when exploring fidelity when using health IT to reduce disparities?

BACKGROUND: Implementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centered health messages, systems-level requirements are often at odds with ‘on-the gr...

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Autores principales: Handley, Margaret A., Landeros, Jerad, Wu, Cindie, Najmabadi, Adriana, Vargas, Daniela, Athavale, Priyanka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028253/
https://www.ncbi.nlm.nih.gov/pubmed/33827562
http://dx.doi.org/10.1186/s12911-021-01476-z
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author Handley, Margaret A.
Landeros, Jerad
Wu, Cindie
Najmabadi, Adriana
Vargas, Daniela
Athavale, Priyanka
author_facet Handley, Margaret A.
Landeros, Jerad
Wu, Cindie
Najmabadi, Adriana
Vargas, Daniela
Athavale, Priyanka
author_sort Handley, Margaret A.
collection PubMed
description BACKGROUND: Implementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centered health messages, systems-level requirements are often at odds with ‘on-the ground’ tailoring approaches for patient-centered care or ensuring equity among linguistically diverse populations. METHODS: We conducted a fidelity and acceptability-focused evaluation of the STAR MAMA Program, a 5-month bilingual (English and Spanish) intervention for reducing diabetes risk factors among 181 post-partum women with recent gestational diabetes. The study’s purpose was to explore fidelity to pre-determined ‘core’ (e.g. systems integration) and ‘modifiable’ equity components (e.g. health coaching responsiveness, and variation by language) using an adapted implementation fidelity framework. Participant-level surveys, systems-level databases of message delivery, call completion, and coaching notes were included. RESULTS: 96.6% of participants are Latina and 80.9% were born outside the US. Among those receiving the STAR MAMA intervention; 55 received the calls in Spanish (61%) and 35 English (39%). 90% (n = 81) completed ≥ one week. Initially, systems errors were common, and increased triggers for health coach call-backs. Although Spanish speakers had more triggers over the intervention period, the difference was not statistically significant. Of the calls triggering a health coach follow-up, attempts were made for 85.4% (n = 152) of the English call triggers and for 80.0% (n = 279) of the Spanish call triggers (NS). Of attempted calls, health coaching calls were complete for 55.6% (n = 85) of English-language call triggers and for 56.6% of Spanish-language call triggers (NS). Some differences in acceptability were noted by language, with Spanish-speakers reporting higher satisfaction with prevention content (p = < 0.01) and English-speakers reporting health coaches were less considerate of their time (p = 0.03). CONCLUSIONS: By exploring fidelity by language-specific factors, we identified important differences in some but not all equity indicators, with early systems errors quicky remedied and high overall engagement and acceptability. Practice implications include: (1) establishing criteria for languge-equity in interventions, (2) planning for systems level errors so as to reduce their impact between language groups and over time; and (3) examining the impact of engagement with language-concordant interventions on outcomes, including acceptability. Trial Registration National Clinical Trials registration number: CT02240420 Registered September 15, 2014. ClinicalTrials.gov.
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spelling pubmed-80282532021-04-08 What matters when exploring fidelity when using health IT to reduce disparities? Handley, Margaret A. Landeros, Jerad Wu, Cindie Najmabadi, Adriana Vargas, Daniela Athavale, Priyanka BMC Med Inform Decis Mak Research Article BACKGROUND: Implementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centered health messages, systems-level requirements are often at odds with ‘on-the ground’ tailoring approaches for patient-centered care or ensuring equity among linguistically diverse populations. METHODS: We conducted a fidelity and acceptability-focused evaluation of the STAR MAMA Program, a 5-month bilingual (English and Spanish) intervention for reducing diabetes risk factors among 181 post-partum women with recent gestational diabetes. The study’s purpose was to explore fidelity to pre-determined ‘core’ (e.g. systems integration) and ‘modifiable’ equity components (e.g. health coaching responsiveness, and variation by language) using an adapted implementation fidelity framework. Participant-level surveys, systems-level databases of message delivery, call completion, and coaching notes were included. RESULTS: 96.6% of participants are Latina and 80.9% were born outside the US. Among those receiving the STAR MAMA intervention; 55 received the calls in Spanish (61%) and 35 English (39%). 90% (n = 81) completed ≥ one week. Initially, systems errors were common, and increased triggers for health coach call-backs. Although Spanish speakers had more triggers over the intervention period, the difference was not statistically significant. Of the calls triggering a health coach follow-up, attempts were made for 85.4% (n = 152) of the English call triggers and for 80.0% (n = 279) of the Spanish call triggers (NS). Of attempted calls, health coaching calls were complete for 55.6% (n = 85) of English-language call triggers and for 56.6% of Spanish-language call triggers (NS). Some differences in acceptability were noted by language, with Spanish-speakers reporting higher satisfaction with prevention content (p = < 0.01) and English-speakers reporting health coaches were less considerate of their time (p = 0.03). CONCLUSIONS: By exploring fidelity by language-specific factors, we identified important differences in some but not all equity indicators, with early systems errors quicky remedied and high overall engagement and acceptability. Practice implications include: (1) establishing criteria for languge-equity in interventions, (2) planning for systems level errors so as to reduce their impact between language groups and over time; and (3) examining the impact of engagement with language-concordant interventions on outcomes, including acceptability. Trial Registration National Clinical Trials registration number: CT02240420 Registered September 15, 2014. ClinicalTrials.gov. BioMed Central 2021-04-07 /pmc/articles/PMC8028253/ /pubmed/33827562 http://dx.doi.org/10.1186/s12911-021-01476-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Handley, Margaret A.
Landeros, Jerad
Wu, Cindie
Najmabadi, Adriana
Vargas, Daniela
Athavale, Priyanka
What matters when exploring fidelity when using health IT to reduce disparities?
title What matters when exploring fidelity when using health IT to reduce disparities?
title_full What matters when exploring fidelity when using health IT to reduce disparities?
title_fullStr What matters when exploring fidelity when using health IT to reduce disparities?
title_full_unstemmed What matters when exploring fidelity when using health IT to reduce disparities?
title_short What matters when exploring fidelity when using health IT to reduce disparities?
title_sort what matters when exploring fidelity when using health it to reduce disparities?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028253/
https://www.ncbi.nlm.nih.gov/pubmed/33827562
http://dx.doi.org/10.1186/s12911-021-01476-z
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