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Real-world integration of the protocol for responding to and assessing patients’ assets, risks, and experiences tool to assess social determinants of health in the electronic medical record at an academic medical center
OBJECTIVE: To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). METHODS: We employed the collection of the PRAPARE tool i...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214080/ https://www.ncbi.nlm.nih.gov/pubmed/37252259 http://dx.doi.org/10.1177/20552076231176652 |
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author | Howell, Carrie R Bradley, Heather Zhang, Li Cleveland, John D Long, Dustin Horton, Trudi Krantz, Olivia Mugavero, Michael J Williams, Winter L Amerson, Alesha Cherrington, Andrea L |
author_facet | Howell, Carrie R Bradley, Heather Zhang, Li Cleveland, John D Long, Dustin Horton, Trudi Krantz, Olivia Mugavero, Michael J Williams, Winter L Amerson, Alesha Cherrington, Andrea L |
author_sort | Howell, Carrie R |
collection | PubMed |
description | OBJECTIVE: To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). METHODS: We employed the collection of the PRAPARE tool in the EMR of a large academic health system in the ambulatory clinic and emergency department setting. After integration, we evaluated SDoH prevalence, levels of missingness, and data anomalies to inform ongoing collection. We summarized responses using descriptive statistics and hand-reviewed data text fields and patterns in the data. Data on patients who were administered with the PRAPARE from February to December 2020 were extracted from the EMR. Patients missing ≥ 12 PRAPARE questions were excluded. Social risks were screened using the PRAPARE. Information on demographics, admittance status, and health coverage were extracted from the EMR. RESULTS: Assessments with N = 6531 were completed (mean age 54 years, female (58.6%), 43.8% Black). Missingness ranged from 0.4% (race) to 20.8% (income). Approximately 6% of patients were homeless; 8% reported housing insecurity; 1.4% reported food needs; 14.6% had healthcare needs; 8.4% needed utility assistance; and 5% lacked transportation related to medical care. Emergency department patients reported significantly higher proportions of suboptimal SDoH. CONCLUSIONS: Integrating the PRAPARE assessment in the EMR provides valuable information on SDoH amenable to intervention, and strategies are needed to increase accurate data collection and to improve the use of data in the clinical encounter. |
format | Online Article Text |
id | pubmed-10214080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-102140802023-05-27 Real-world integration of the protocol for responding to and assessing patients’ assets, risks, and experiences tool to assess social determinants of health in the electronic medical record at an academic medical center Howell, Carrie R Bradley, Heather Zhang, Li Cleveland, John D Long, Dustin Horton, Trudi Krantz, Olivia Mugavero, Michael J Williams, Winter L Amerson, Alesha Cherrington, Andrea L Digit Health Original Research OBJECTIVE: To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). METHODS: We employed the collection of the PRAPARE tool in the EMR of a large academic health system in the ambulatory clinic and emergency department setting. After integration, we evaluated SDoH prevalence, levels of missingness, and data anomalies to inform ongoing collection. We summarized responses using descriptive statistics and hand-reviewed data text fields and patterns in the data. Data on patients who were administered with the PRAPARE from February to December 2020 were extracted from the EMR. Patients missing ≥ 12 PRAPARE questions were excluded. Social risks were screened using the PRAPARE. Information on demographics, admittance status, and health coverage were extracted from the EMR. RESULTS: Assessments with N = 6531 were completed (mean age 54 years, female (58.6%), 43.8% Black). Missingness ranged from 0.4% (race) to 20.8% (income). Approximately 6% of patients were homeless; 8% reported housing insecurity; 1.4% reported food needs; 14.6% had healthcare needs; 8.4% needed utility assistance; and 5% lacked transportation related to medical care. Emergency department patients reported significantly higher proportions of suboptimal SDoH. CONCLUSIONS: Integrating the PRAPARE assessment in the EMR provides valuable information on SDoH amenable to intervention, and strategies are needed to increase accurate data collection and to improve the use of data in the clinical encounter. SAGE Publications 2023-05-22 /pmc/articles/PMC10214080/ /pubmed/37252259 http://dx.doi.org/10.1177/20552076231176652 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Howell, Carrie R Bradley, Heather Zhang, Li Cleveland, John D Long, Dustin Horton, Trudi Krantz, Olivia Mugavero, Michael J Williams, Winter L Amerson, Alesha Cherrington, Andrea L Real-world integration of the protocol for responding to and assessing patients’ assets, risks, and experiences tool to assess social determinants of health in the electronic medical record at an academic medical center |
title | Real-world integration of the protocol for responding to and
assessing patients’ assets, risks, and experiences tool to assess social
determinants of health in the electronic medical record at an academic medical
center |
title_full | Real-world integration of the protocol for responding to and
assessing patients’ assets, risks, and experiences tool to assess social
determinants of health in the electronic medical record at an academic medical
center |
title_fullStr | Real-world integration of the protocol for responding to and
assessing patients’ assets, risks, and experiences tool to assess social
determinants of health in the electronic medical record at an academic medical
center |
title_full_unstemmed | Real-world integration of the protocol for responding to and
assessing patients’ assets, risks, and experiences tool to assess social
determinants of health in the electronic medical record at an academic medical
center |
title_short | Real-world integration of the protocol for responding to and
assessing patients’ assets, risks, and experiences tool to assess social
determinants of health in the electronic medical record at an academic medical
center |
title_sort | real-world integration of the protocol for responding to and
assessing patients’ assets, risks, and experiences tool to assess social
determinants of health in the electronic medical record at an academic medical
center |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214080/ https://www.ncbi.nlm.nih.gov/pubmed/37252259 http://dx.doi.org/10.1177/20552076231176652 |
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