Cargando…
1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population
BACKGROUND: Participants of a COVID-19 school-based testing program in predominantly Black schools were asked to complete the NIH’s Common Data Elements (CDE) survey to help understand the demographic and social determinants of health of our testing population. The objective of this study was to ass...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678374/ http://dx.doi.org/10.1093/ofid/ofad500.1651 |
_version_ | 1785150346303111168 |
---|---|
author | Agha, Humza Shelley, Jamee T Reyes, Sydney A Reyes, Summer M Walsh, Tyler Watterson, Tremayne Torres, Ana V Bonty, Brittany T Evans, Christina Prater, Jasmine Hayes, Samantha Malone, Sara Lai, Albert Fritz, Stephanie A Newland, Jason Neidich, Julie A Lackey, Ian T |
author_facet | Agha, Humza Shelley, Jamee T Reyes, Sydney A Reyes, Summer M Walsh, Tyler Watterson, Tremayne Torres, Ana V Bonty, Brittany T Evans, Christina Prater, Jasmine Hayes, Samantha Malone, Sara Lai, Albert Fritz, Stephanie A Newland, Jason Neidich, Julie A Lackey, Ian T |
author_sort | Agha, Humza |
collection | PubMed |
description | BACKGROUND: Participants of a COVID-19 school-based testing program in predominantly Black schools were asked to complete the NIH’s Common Data Elements (CDE) survey to help understand the demographic and social determinants of health of our testing population. The objective of this study was to assess if those completing the CDEs were reflective of our overall testing participants and to identify the trusted sources of these individuals METHODS: All testing participants were offered the opportunity to complete a 150 question CDE survey after being enrolled in the testing portion of the study. Descriptive statistics described race/ethnicity, socioeconomic status, and vaccination status. Geospatial mapping utilizing addresses of participants was used to assess social vulnerability index among testing and CDE participants. Response options for trusted COVID19 source questions were given in a 5-point Likert scale, with answers ranging from “A great deal,” to “Not at all.” RESULTS: A total of 477 CDE surveys were submitted among 2581 participants. When comparing the total participant population with the CDE respondent population, we see disparate numbers among Black and White participants (Fig. 1). Additionally, those completing CDEs were in lower SVIs (Fig. 2). Analysis of trusted sources for COVID19 information showed that 80% of White CDE respondents trusted their doctor/healthcare provider “a great deal,” as compared to 26% indicating “not at all” for Faith Leader. 51% of Black CDE respondents trust their doctor/healthcare provider “a great deal,” as compared to 25% indicating “not at all,” for the US Government. (Fig. 3) Testing population vs. CDE population by race [Figure: see text] This graph shows our overall testing population and CDE population by race. Mapping testing population vs. CDE population SVI [Figure: see text] The addresses of our overall testing population and our CDE population were geospatially mapped against CDC's 2018 Social Vulnerability Index (SVI). CDE trusted COVID19 sources by Race [Figure: see text] Responses from our testing population that completed CDEs based on trusted sources CONCLUSION: CDE respondents did not reflect our testing participants. Additionally, the most trusted sources among the population completing the CDEs were doctors/healthcare providers, and not as much faith leaders. While these data are important, they do not reflect the testing participants in our underserved community and need to be interpreted with caution. Use of CDEs are important but care needs to be taken when reporting the results. DISCLOSURES: Albert Lai, PhD, Johnson & Johnson: Stocks/Bonds Jason Newland, MD, Moderna: Grant/Research Support|Pfizer: Grant/Research Support |
format | Online Article Text |
id | pubmed-10678374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106783742023-11-27 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population Agha, Humza Shelley, Jamee T Reyes, Sydney A Reyes, Summer M Walsh, Tyler Watterson, Tremayne Torres, Ana V Bonty, Brittany T Evans, Christina Prater, Jasmine Hayes, Samantha Malone, Sara Lai, Albert Fritz, Stephanie A Newland, Jason Neidich, Julie A Lackey, Ian T Open Forum Infect Dis Abstract BACKGROUND: Participants of a COVID-19 school-based testing program in predominantly Black schools were asked to complete the NIH’s Common Data Elements (CDE) survey to help understand the demographic and social determinants of health of our testing population. The objective of this study was to assess if those completing the CDEs were reflective of our overall testing participants and to identify the trusted sources of these individuals METHODS: All testing participants were offered the opportunity to complete a 150 question CDE survey after being enrolled in the testing portion of the study. Descriptive statistics described race/ethnicity, socioeconomic status, and vaccination status. Geospatial mapping utilizing addresses of participants was used to assess social vulnerability index among testing and CDE participants. Response options for trusted COVID19 source questions were given in a 5-point Likert scale, with answers ranging from “A great deal,” to “Not at all.” RESULTS: A total of 477 CDE surveys were submitted among 2581 participants. When comparing the total participant population with the CDE respondent population, we see disparate numbers among Black and White participants (Fig. 1). Additionally, those completing CDEs were in lower SVIs (Fig. 2). Analysis of trusted sources for COVID19 information showed that 80% of White CDE respondents trusted their doctor/healthcare provider “a great deal,” as compared to 26% indicating “not at all” for Faith Leader. 51% of Black CDE respondents trust their doctor/healthcare provider “a great deal,” as compared to 25% indicating “not at all,” for the US Government. (Fig. 3) Testing population vs. CDE population by race [Figure: see text] This graph shows our overall testing population and CDE population by race. Mapping testing population vs. CDE population SVI [Figure: see text] The addresses of our overall testing population and our CDE population were geospatially mapped against CDC's 2018 Social Vulnerability Index (SVI). CDE trusted COVID19 sources by Race [Figure: see text] Responses from our testing population that completed CDEs based on trusted sources CONCLUSION: CDE respondents did not reflect our testing participants. Additionally, the most trusted sources among the population completing the CDEs were doctors/healthcare providers, and not as much faith leaders. While these data are important, they do not reflect the testing participants in our underserved community and need to be interpreted with caution. Use of CDEs are important but care needs to be taken when reporting the results. DISCLOSURES: Albert Lai, PhD, Johnson & Johnson: Stocks/Bonds Jason Newland, MD, Moderna: Grant/Research Support|Pfizer: Grant/Research Support Oxford University Press 2023-11-27 /pmc/articles/PMC10678374/ http://dx.doi.org/10.1093/ofid/ofad500.1651 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Agha, Humza Shelley, Jamee T Reyes, Sydney A Reyes, Summer M Walsh, Tyler Watterson, Tremayne Torres, Ana V Bonty, Brittany T Evans, Christina Prater, Jasmine Hayes, Samantha Malone, Sara Lai, Albert Fritz, Stephanie A Newland, Jason Neidich, Julie A Lackey, Ian T 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population |
title | 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population |
title_full | 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population |
title_fullStr | 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population |
title_full_unstemmed | 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population |
title_short | 1822. Assessing Trusted Sources and its Impact on Healthcare Accessibility for Safe Return to K-12 Schools in an Underserved Population |
title_sort | 1822. assessing trusted sources and its impact on healthcare accessibility for safe return to k-12 schools in an underserved population |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678374/ http://dx.doi.org/10.1093/ofid/ofad500.1651 |
work_keys_str_mv | AT aghahumza 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT shelleyjameet 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT reyessydneya 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT reyessummerm 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT walshtyler 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT wattersontremayne 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT torresanav 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT bontybrittanyt 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT evanschristina 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT praterjasmine 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT hayessamantha 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT malonesara 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT laialbert 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT fritzstephaniea 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT newlandjason 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT neidichjuliea 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation AT lackeyiant 1822assessingtrustedsourcesanditsimpactonhealthcareaccessibilityforsafereturntok12schoolsinanunderservedpopulation |