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Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens

INTRODUCTION: While strong associations exist between social determinants of health (SDOH), socioeconomic status, and smoking, these factors are not routinely assessed in tobacco treatment programs (TTP). This study addresses this gap by evaluating a composite metric of SDOH and a measure of access...

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Autores principales: Shoenbill, Kimberly A, Baca-Atlas, Michael H, Smith, Caleb A, Wilhoit-Reeves, Stephanie B, Baca-Atlas, Stefani N, Goldstein, Adam O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272290/
https://www.ncbi.nlm.nih.gov/pubmed/35038749
http://dx.doi.org/10.1093/ntr/ntac016
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author Shoenbill, Kimberly A
Baca-Atlas, Michael H
Smith, Caleb A
Wilhoit-Reeves, Stephanie B
Baca-Atlas, Stefani N
Goldstein, Adam O
author_facet Shoenbill, Kimberly A
Baca-Atlas, Michael H
Smith, Caleb A
Wilhoit-Reeves, Stephanie B
Baca-Atlas, Stefani N
Goldstein, Adam O
author_sort Shoenbill, Kimberly A
collection PubMed
description INTRODUCTION: While strong associations exist between social determinants of health (SDOH), socioeconomic status, and smoking, these factors are not routinely assessed in tobacco treatment programs (TTP). This study addresses this gap by evaluating a composite metric of SDOH and a measure of access to care to determine program reach before and after the implementation of telehealth tobacco treatment delivery. AIMS AND METHODS: We examined inpatient data from a large TTP during two comparable time periods from April 1, 2019 to September 30, 2019 (pre-telehealth) and from April 1, 2020 to September 30, 2020 (telehealth). The populations were compared using point-of-care data, including 5-digit zip codes mapped to the CDC’s Social Vulnerability Index (SVI) and driving distance (in 60-min increments) to the study hospital. Chi-square tests for homogeneity were performed for SVI and driving distance comparisons. RESULTS: While distance distributions were significantly different between the pre-telehealth and telehealth populations (χ (2) = 13.5 (df = 3, N = 3234), p = .004, no significant differences existed in the proportion of SVI categories between the two populations (χ (2) = 5.8 (df = 3, N = 3234), p = .12). In the telehealth population, patients with the highest SVI vulnerability had the greatest proportions living >1 h from the hospital. CONCLUSIONS: This study offers a novel evaluation of tobacco treatment in relation to an SDOH metric (SVI) and care access (distance to the hospital) for inpatient populations. Patient reach, including to those with high vulnerabilities, remained consistent in a transition to telehealth. These methods can inform future reach and engagement of patients who use tobacco products, including patients with high vulnerability or who reside at greater distances from treatment programs. IMPLICATIONS: This study provides the first analysis of inpatient tobacco use treatment (TUT) transition to telehealth delivery of care during the COVID-19 pandemic using the CDC’s SVI metric and patient distance to the hospital. The transition resulted in consistent reach to patients at the highest vulnerability. These findings can inform efforts to evaluate SDOH measures and improve reach, engagement, and research on telehealth delivery of inpatient TUT.
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spelling pubmed-92722902022-08-17 Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens Shoenbill, Kimberly A Baca-Atlas, Michael H Smith, Caleb A Wilhoit-Reeves, Stephanie B Baca-Atlas, Stefani N Goldstein, Adam O Nicotine Tob Res Brief Reports INTRODUCTION: While strong associations exist between social determinants of health (SDOH), socioeconomic status, and smoking, these factors are not routinely assessed in tobacco treatment programs (TTP). This study addresses this gap by evaluating a composite metric of SDOH and a measure of access to care to determine program reach before and after the implementation of telehealth tobacco treatment delivery. AIMS AND METHODS: We examined inpatient data from a large TTP during two comparable time periods from April 1, 2019 to September 30, 2019 (pre-telehealth) and from April 1, 2020 to September 30, 2020 (telehealth). The populations were compared using point-of-care data, including 5-digit zip codes mapped to the CDC’s Social Vulnerability Index (SVI) and driving distance (in 60-min increments) to the study hospital. Chi-square tests for homogeneity were performed for SVI and driving distance comparisons. RESULTS: While distance distributions were significantly different between the pre-telehealth and telehealth populations (χ (2) = 13.5 (df = 3, N = 3234), p = .004, no significant differences existed in the proportion of SVI categories between the two populations (χ (2) = 5.8 (df = 3, N = 3234), p = .12). In the telehealth population, patients with the highest SVI vulnerability had the greatest proportions living >1 h from the hospital. CONCLUSIONS: This study offers a novel evaluation of tobacco treatment in relation to an SDOH metric (SVI) and care access (distance to the hospital) for inpatient populations. Patient reach, including to those with high vulnerabilities, remained consistent in a transition to telehealth. These methods can inform future reach and engagement of patients who use tobacco products, including patients with high vulnerability or who reside at greater distances from treatment programs. IMPLICATIONS: This study provides the first analysis of inpatient tobacco use treatment (TUT) transition to telehealth delivery of care during the COVID-19 pandemic using the CDC’s SVI metric and patient distance to the hospital. The transition resulted in consistent reach to patients at the highest vulnerability. These findings can inform efforts to evaluate SDOH measures and improve reach, engagement, and research on telehealth delivery of inpatient TUT. Oxford University Press 2022-02-05 /pmc/articles/PMC9272290/ /pubmed/35038749 http://dx.doi.org/10.1093/ntr/ntac016 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_modelThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Brief Reports
Shoenbill, Kimberly A
Baca-Atlas, Michael H
Smith, Caleb A
Wilhoit-Reeves, Stephanie B
Baca-Atlas, Stefani N
Goldstein, Adam O
Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens
title Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens
title_full Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens
title_fullStr Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens
title_full_unstemmed Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens
title_short Evaluating a Tobacco Treatment Program’s Transition to Telehealth Using a Social Determinants of Health Lens
title_sort evaluating a tobacco treatment program’s transition to telehealth using a social determinants of health lens
topic Brief Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272290/
https://www.ncbi.nlm.nih.gov/pubmed/35038749
http://dx.doi.org/10.1093/ntr/ntac016
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