Cargando…
Electronic health record tools to assist with children’s insurance coverage: a mixed methods study
BACKGROUND: Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children’s coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946500/ https://www.ncbi.nlm.nih.gov/pubmed/29747644 http://dx.doi.org/10.1186/s12913-018-3159-x |
_version_ | 1783322212369956864 |
---|---|
author | DeVoe, Jennifer E. Hoopes, Megan Nelson, Christine A. Cohen, Deborah J. Sumic, Aleksandra Hall, Jennifer Angier, Heather Marino, Miguel O’Malley, Jean P. Gold, Rachel |
author_facet | DeVoe, Jennifer E. Hoopes, Megan Nelson, Christine A. Cohen, Deborah J. Sumic, Aleksandra Hall, Jennifer Angier, Heather Marino, Miguel O’Malley, Jean P. Gold, Rachel |
author_sort | DeVoe, Jennifer E. |
collection | PubMed |
description | BACKGROUND: Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children’s coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children’s insurance assistance. METHODS: We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics (n = 15,024) to those at 4 matched control clinics (n = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use (n = 2240) to intervention clinic patients without tool use (n = 12,784). RESULTS: Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14–1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68–0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64–2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53–0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used. CONCLUSIONS: This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02298361; retrospectively registered on November 5, 2014. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3159-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5946500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59465002018-05-17 Electronic health record tools to assist with children’s insurance coverage: a mixed methods study DeVoe, Jennifer E. Hoopes, Megan Nelson, Christine A. Cohen, Deborah J. Sumic, Aleksandra Hall, Jennifer Angier, Heather Marino, Miguel O’Malley, Jean P. Gold, Rachel BMC Health Serv Res Research Article BACKGROUND: Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children’s coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children’s insurance assistance. METHODS: We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics (n = 15,024) to those at 4 matched control clinics (n = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use (n = 2240) to intervention clinic patients without tool use (n = 12,784). RESULTS: Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14–1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68–0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64–2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53–0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used. CONCLUSIONS: This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02298361; retrospectively registered on November 5, 2014. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-3159-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-10 /pmc/articles/PMC5946500/ /pubmed/29747644 http://dx.doi.org/10.1186/s12913-018-3159-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article DeVoe, Jennifer E. Hoopes, Megan Nelson, Christine A. Cohen, Deborah J. Sumic, Aleksandra Hall, Jennifer Angier, Heather Marino, Miguel O’Malley, Jean P. Gold, Rachel Electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
title | Electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
title_full | Electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
title_fullStr | Electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
title_full_unstemmed | Electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
title_short | Electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
title_sort | electronic health record tools to assist with children’s insurance coverage: a mixed methods study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946500/ https://www.ncbi.nlm.nih.gov/pubmed/29747644 http://dx.doi.org/10.1186/s12913-018-3159-x |
work_keys_str_mv | AT devoejennifere electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT hoopesmegan electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT nelsonchristinea electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT cohendeborahj electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT sumicaleksandra electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT halljennifer electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT angierheather electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT marinomiguel electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT omalleyjeanp electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy AT goldrachel electronichealthrecordtoolstoassistwithchildrensinsurancecoverageamixedmethodsstudy |