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Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial

BACKGROUND: Family health history (FHH) is the single strongest predictor of disease risk and yet is significantly underutilized in primary care. We developed a patient facing FHH collection tool, MeTree(©), that uses risk stratification to generate clinical decision support for breast cancer, color...

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Autores principales: Wu, R Ryanne, Orlando, Lori A, Himmel, Tiffany L, Buchanan, Adam H, Powell, Karen P, Hauser, Elizabeth R, Agbaje, Astrid B, Henrich, Vincent C, Ginsburg, Geoffrey S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765729/
https://www.ncbi.nlm.nih.gov/pubmed/23915256
http://dx.doi.org/10.1186/1471-2296-14-111
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author Wu, R Ryanne
Orlando, Lori A
Himmel, Tiffany L
Buchanan, Adam H
Powell, Karen P
Hauser, Elizabeth R
Agbaje, Astrid B
Henrich, Vincent C
Ginsburg, Geoffrey S
author_facet Wu, R Ryanne
Orlando, Lori A
Himmel, Tiffany L
Buchanan, Adam H
Powell, Karen P
Hauser, Elizabeth R
Agbaje, Astrid B
Henrich, Vincent C
Ginsburg, Geoffrey S
author_sort Wu, R Ryanne
collection PubMed
description BACKGROUND: Family health history (FHH) is the single strongest predictor of disease risk and yet is significantly underutilized in primary care. We developed a patient facing FHH collection tool, MeTree(©), that uses risk stratification to generate clinical decision support for breast cancer, colorectal cancer, ovarian cancer, hereditary cancer syndromes, and thrombosis. Here we present data on the experience of patients and providers after integration of MeTree(©) into 2 primary care practices. METHODS: This was a Type 2 hybrid controlled implementation-effectiveness study in 3 community-based primary care clinics in Greensboro, NC. All non-adopted adult English speaking patients with upcoming routine appointments were invited. Patients were recruited from December 2009 to the present and followed for one year. Ease of integration of MeTree(©) into clinical practice at the two intervention clinics was evaluated through patient surveys after their appointment and at 3 months post-visit, and physician surveys 3 months after tool integration. RESULTS: Total enrollment =1,184. Average time to complete MeTree(©) = 27 minutes. Patients found MeTree(©): easy to use (93%), easy to understand (97%), useful (98%), raised awareness of disease risk (85%), and changed how they think about their health (86%). Of the 26% (N = 311) asking for assistance to complete the tool, age (65 sd 9.4 vs. 57 sd 11.8, p-value < 0.00) and large pedigree size (24.4 sd 9.81 vs. 22.2 sd 8.30, p-value < 0.00) were the only significant factors; 77% of those requiring assistance were over the age of 60. Providers (N = 14) found MeTree(©): improved their practice (86%), improved their understanding of FHH (64%), made practice easier (79%), and worthy of recommending to their peers (93%). CONCLUSIONS: Our study shows that MeTree(©) has broad acceptance and support from both patients and providers and can be implemented without disruption to workflow.
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spelling pubmed-37657292013-09-08 Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial Wu, R Ryanne Orlando, Lori A Himmel, Tiffany L Buchanan, Adam H Powell, Karen P Hauser, Elizabeth R Agbaje, Astrid B Henrich, Vincent C Ginsburg, Geoffrey S BMC Fam Pract Research Article BACKGROUND: Family health history (FHH) is the single strongest predictor of disease risk and yet is significantly underutilized in primary care. We developed a patient facing FHH collection tool, MeTree(©), that uses risk stratification to generate clinical decision support for breast cancer, colorectal cancer, ovarian cancer, hereditary cancer syndromes, and thrombosis. Here we present data on the experience of patients and providers after integration of MeTree(©) into 2 primary care practices. METHODS: This was a Type 2 hybrid controlled implementation-effectiveness study in 3 community-based primary care clinics in Greensboro, NC. All non-adopted adult English speaking patients with upcoming routine appointments were invited. Patients were recruited from December 2009 to the present and followed for one year. Ease of integration of MeTree(©) into clinical practice at the two intervention clinics was evaluated through patient surveys after their appointment and at 3 months post-visit, and physician surveys 3 months after tool integration. RESULTS: Total enrollment =1,184. Average time to complete MeTree(©) = 27 minutes. Patients found MeTree(©): easy to use (93%), easy to understand (97%), useful (98%), raised awareness of disease risk (85%), and changed how they think about their health (86%). Of the 26% (N = 311) asking for assistance to complete the tool, age (65 sd 9.4 vs. 57 sd 11.8, p-value < 0.00) and large pedigree size (24.4 sd 9.81 vs. 22.2 sd 8.30, p-value < 0.00) were the only significant factors; 77% of those requiring assistance were over the age of 60. Providers (N = 14) found MeTree(©): improved their practice (86%), improved their understanding of FHH (64%), made practice easier (79%), and worthy of recommending to their peers (93%). CONCLUSIONS: Our study shows that MeTree(©) has broad acceptance and support from both patients and providers and can be implemented without disruption to workflow. BioMed Central 2013-08-06 /pmc/articles/PMC3765729/ /pubmed/23915256 http://dx.doi.org/10.1186/1471-2296-14-111 Text en Copyright © 2013 Wu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wu, R Ryanne
Orlando, Lori A
Himmel, Tiffany L
Buchanan, Adam H
Powell, Karen P
Hauser, Elizabeth R
Agbaje, Astrid B
Henrich, Vincent C
Ginsburg, Geoffrey S
Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
title Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
title_full Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
title_fullStr Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
title_full_unstemmed Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
title_short Patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
title_sort patient and primary care provider experience using a family health history collection, risk stratification, and clinical decision support tool: a type 2 hybrid controlled implementation-effectiveness trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3765729/
https://www.ncbi.nlm.nih.gov/pubmed/23915256
http://dx.doi.org/10.1186/1471-2296-14-111
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