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Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial
BACKGROUND: Patients with gaps in health insurance coverage often defer or forgo cancer prevention services. These delays in cancer detection and diagnoses lead to higher rates of morbidity and mortality and increased costs. Recent advances in health information technology (HIT) create new opportuni...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676134/ https://www.ncbi.nlm.nih.gov/pubmed/26652866 http://dx.doi.org/10.1186/s13012-015-0311-4 |
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author | DeVoe, Jennifer E. Huguet, Nathalie Likumahuwa-Ackman, Sonja Angier, Heather Nelson, Christine Marino, Miguel Cohen, Deborah Sumic, Aleksandra Hoopes, Megan Harding, Rose L. Dearing, Marla Gold, Rachel |
author_facet | DeVoe, Jennifer E. Huguet, Nathalie Likumahuwa-Ackman, Sonja Angier, Heather Nelson, Christine Marino, Miguel Cohen, Deborah Sumic, Aleksandra Hoopes, Megan Harding, Rose L. Dearing, Marla Gold, Rachel |
author_sort | DeVoe, Jennifer E. |
collection | PubMed |
description | BACKGROUND: Patients with gaps in health insurance coverage often defer or forgo cancer prevention services. These delays in cancer detection and diagnoses lead to higher rates of morbidity and mortality and increased costs. Recent advances in health information technology (HIT) create new opportunities to enhance insurance support services that reduce coverage gaps through automated processes applied in healthcare settings. This study will assess the implementation of insurance support HIT tools and their effectiveness at improving patients’ insurance coverage continuity and cancer screening rates. METHODS/DESIGN: This study uses a hybrid cluster-randomized design—a combined effectiveness and implementation trial—in community health centers (CHCs) in the USA. Eligible CHC clinic sites will be randomly assigned to one of two groups in the trial’s implementation component: tools + basic training (Arm I) and tools + enhanced training + facilitation (Arm II). A propensity score-matched control group of clinics will be selected to assess the tools’ effectiveness. Quantitative analyses of the tools’ impact will use electronic health record and Medicaid data to assess effectiveness. Qualitative data will be collected to evaluate the implementation process, understand how the HIT tools are being used, and identify facilitators and barriers to their implementation and use. DISCUSSION: This study will test the effectiveness of HIT tools to enhance insurance support in CHCs and will compare strategies for facilitating their implementation in “real-world” practice settings. Findings will inform further development and, if indicated, more widespread implementation of insurance support HIT tools. TRIAL REGISTRATION: Clinical trial NTC02355262 |
format | Online Article Text |
id | pubmed-4676134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46761342015-12-12 Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial DeVoe, Jennifer E. Huguet, Nathalie Likumahuwa-Ackman, Sonja Angier, Heather Nelson, Christine Marino, Miguel Cohen, Deborah Sumic, Aleksandra Hoopes, Megan Harding, Rose L. Dearing, Marla Gold, Rachel Implement Sci Study Protocol BACKGROUND: Patients with gaps in health insurance coverage often defer or forgo cancer prevention services. These delays in cancer detection and diagnoses lead to higher rates of morbidity and mortality and increased costs. Recent advances in health information technology (HIT) create new opportunities to enhance insurance support services that reduce coverage gaps through automated processes applied in healthcare settings. This study will assess the implementation of insurance support HIT tools and their effectiveness at improving patients’ insurance coverage continuity and cancer screening rates. METHODS/DESIGN: This study uses a hybrid cluster-randomized design—a combined effectiveness and implementation trial—in community health centers (CHCs) in the USA. Eligible CHC clinic sites will be randomly assigned to one of two groups in the trial’s implementation component: tools + basic training (Arm I) and tools + enhanced training + facilitation (Arm II). A propensity score-matched control group of clinics will be selected to assess the tools’ effectiveness. Quantitative analyses of the tools’ impact will use electronic health record and Medicaid data to assess effectiveness. Qualitative data will be collected to evaluate the implementation process, understand how the HIT tools are being used, and identify facilitators and barriers to their implementation and use. DISCUSSION: This study will test the effectiveness of HIT tools to enhance insurance support in CHCs and will compare strategies for facilitating their implementation in “real-world” practice settings. Findings will inform further development and, if indicated, more widespread implementation of insurance support HIT tools. TRIAL REGISTRATION: Clinical trial NTC02355262 BioMed Central 2015-08-25 /pmc/articles/PMC4676134/ /pubmed/26652866 http://dx.doi.org/10.1186/s13012-015-0311-4 Text en © DeVoe et al. 2015 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 | Study Protocol DeVoe, Jennifer E. Huguet, Nathalie Likumahuwa-Ackman, Sonja Angier, Heather Nelson, Christine Marino, Miguel Cohen, Deborah Sumic, Aleksandra Hoopes, Megan Harding, Rose L. Dearing, Marla Gold, Rachel Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
title | Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
title_full | Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
title_fullStr | Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
title_full_unstemmed | Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
title_short | Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
title_sort | testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4676134/ https://www.ncbi.nlm.nih.gov/pubmed/26652866 http://dx.doi.org/10.1186/s13012-015-0311-4 |
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