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Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study
BACKGROUND: Risk assessment with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments int...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657284/ https://www.ncbi.nlm.nih.gov/pubmed/26597091 http://dx.doi.org/10.1186/s13012-015-0352-8 |
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author | Wu, R. Ryanne Myers, Rachel A. McCarty, Catherine A. Dimmock, David Farrell, Michael Cross, Deanna Chinevere, Troy D. Ginsburg, Geoffrey S. Orlando, Lori A. |
author_facet | Wu, R. Ryanne Myers, Rachel A. McCarty, Catherine A. Dimmock, David Farrell, Michael Cross, Deanna Chinevere, Troy D. Ginsburg, Geoffrey S. Orlando, Lori A. |
author_sort | Wu, R. Ryanne |
collection | PubMed |
description | BACKGROUND: Risk assessment with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments into routine care. MeTree, a web-based patient-facing health risk assessment tool, was developed with the aim of overcoming these barriers. In order to better understand what factors will be instrumental for broader adoption of risk assessment programs like MeTree in clinical settings, we obtained funding to perform a type III hybrid implementation-effectiveness study in primary care clinics at five diverse healthcare systems. Here, we describe the study’s protocol. METHODS/DESIGN: MeTree collects personal medical information and a three-generation family health history from patients on 98 conditions. Using algorithms built entirely from current clinical guidelines, it provides clinical decision support to providers and patients on 30 conditions. All adult patients with an upcoming well-visit appointment at one of the 20 intervention clinics are eligible to participate. Patient-oriented risk reports are provided in real time. Provider-oriented risk reports are uploaded to the electronic medical record for review at the time of the appointment. Implementation outcomes are enrollment rate of clinics, providers, and patients (enrolled vs approached) and their representativeness compared to the underlying population. Primary effectiveness outcomes are the percent of participants newly identified as being at increased risk for one of the clinical decision support conditions and the percent with appropriate risk-based screening. Secondary outcomes include percent change in those meeting goals for a healthy lifestyle (diet, exercise, and smoking). Outcomes are measured through electronic medical record data abstraction, patient surveys, and surveys/qualitative interviews of clinical staff. DISCUSSION: This study evaluates factors that are critical to successful implementation of a web-based risk assessment tool into routine clinical care in a variety of healthcare settings. The result will identify resource needs and potential barriers and solutions to implementation in each setting as well as an understanding potential effectiveness. TRIAL REGISTRATION: NCT01956773 |
format | Online Article Text |
id | pubmed-4657284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46572842015-11-25 Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study Wu, R. Ryanne Myers, Rachel A. McCarty, Catherine A. Dimmock, David Farrell, Michael Cross, Deanna Chinevere, Troy D. Ginsburg, Geoffrey S. Orlando, Lori A. Implement Sci Study Protocol BACKGROUND: Risk assessment with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments into routine care. MeTree, a web-based patient-facing health risk assessment tool, was developed with the aim of overcoming these barriers. In order to better understand what factors will be instrumental for broader adoption of risk assessment programs like MeTree in clinical settings, we obtained funding to perform a type III hybrid implementation-effectiveness study in primary care clinics at five diverse healthcare systems. Here, we describe the study’s protocol. METHODS/DESIGN: MeTree collects personal medical information and a three-generation family health history from patients on 98 conditions. Using algorithms built entirely from current clinical guidelines, it provides clinical decision support to providers and patients on 30 conditions. All adult patients with an upcoming well-visit appointment at one of the 20 intervention clinics are eligible to participate. Patient-oriented risk reports are provided in real time. Provider-oriented risk reports are uploaded to the electronic medical record for review at the time of the appointment. Implementation outcomes are enrollment rate of clinics, providers, and patients (enrolled vs approached) and their representativeness compared to the underlying population. Primary effectiveness outcomes are the percent of participants newly identified as being at increased risk for one of the clinical decision support conditions and the percent with appropriate risk-based screening. Secondary outcomes include percent change in those meeting goals for a healthy lifestyle (diet, exercise, and smoking). Outcomes are measured through electronic medical record data abstraction, patient surveys, and surveys/qualitative interviews of clinical staff. DISCUSSION: This study evaluates factors that are critical to successful implementation of a web-based risk assessment tool into routine clinical care in a variety of healthcare settings. The result will identify resource needs and potential barriers and solutions to implementation in each setting as well as an understanding potential effectiveness. TRIAL REGISTRATION: NCT01956773 BioMed Central 2015-11-24 /pmc/articles/PMC4657284/ /pubmed/26597091 http://dx.doi.org/10.1186/s13012-015-0352-8 Text en © Wu 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 Wu, R. Ryanne Myers, Rachel A. McCarty, Catherine A. Dimmock, David Farrell, Michael Cross, Deanna Chinevere, Troy D. Ginsburg, Geoffrey S. Orlando, Lori A. Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study |
title | Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study |
title_full | Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study |
title_fullStr | Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study |
title_full_unstemmed | Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study |
title_short | Protocol for the “Implementation, adoption, and utility of family history in diverse care settings” study |
title_sort | protocol for the “implementation, adoption, and utility of family history in diverse care settings” study |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657284/ https://www.ncbi.nlm.nih.gov/pubmed/26597091 http://dx.doi.org/10.1186/s13012-015-0352-8 |
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