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Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation

BACKGROUND: Tobacco use, physical inactivity, and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice, and support by a primary care provider lead to behavior change attempts among patients. However, although physicians consider pre...

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Detalles Bibliográficos
Autores principales: Kosowan, Leanne, Katz, Alan, Halas, Gayle, LaBine, Lisa, Singer, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886616/
https://www.ncbi.nlm.nih.gov/pubmed/33528376
http://dx.doi.org/10.2196/24382
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author Kosowan, Leanne
Katz, Alan
Halas, Gayle
LaBine, Lisa
Singer, Alexander
author_facet Kosowan, Leanne
Katz, Alan
Halas, Gayle
LaBine, Lisa
Singer, Alexander
author_sort Kosowan, Leanne
collection PubMed
description BACKGROUND: Tobacco use, physical inactivity, and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice, and support by a primary care provider lead to behavior change attempts among patients. However, although physicians consider preventative health important, there is often a larger focus on symptom presentation, acute care, and medication review. OBJECTIVE: This study evaluated the feasibility, adoption, and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. METHODS: This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. The RFIT was implemented in 2 primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. RESULTS: Clinicians reported a smooth and fast transfer of RFIT responses to an electronic medical record encounter note. The RFIT was used by 207 patients, with a completion rate of 86%. Clinic staff reported that approximately 3%-5% of patients declined the use of the RFIT or required assistance to use the tablet. Among the 207 patients that used the RFIT, 22 (12.1%) smoked, 39 (21.2%) felt their diet could be improved, 20 (12.0%) reported high alcohol consumption, 103 (56.9%) reported less than 150 minutes of physical activity a week, and 6 (8.2%) patients lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. CONCLUSIONS: Clinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize, and synthesize individual health information to inform and tailor primary care counseling to the patients’ context and readiness to change. The RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, the RFIT can inform brief interventions within primary care.
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spelling pubmed-78866162021-03-10 Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation Kosowan, Leanne Katz, Alan Halas, Gayle LaBine, Lisa Singer, Alexander JMIR Form Res Original Paper BACKGROUND: Tobacco use, physical inactivity, and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice, and support by a primary care provider lead to behavior change attempts among patients. However, although physicians consider preventative health important, there is often a larger focus on symptom presentation, acute care, and medication review. OBJECTIVE: This study evaluated the feasibility, adoption, and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. METHODS: This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. The RFIT was implemented in 2 primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. RESULTS: Clinicians reported a smooth and fast transfer of RFIT responses to an electronic medical record encounter note. The RFIT was used by 207 patients, with a completion rate of 86%. Clinic staff reported that approximately 3%-5% of patients declined the use of the RFIT or required assistance to use the tablet. Among the 207 patients that used the RFIT, 22 (12.1%) smoked, 39 (21.2%) felt their diet could be improved, 20 (12.0%) reported high alcohol consumption, 103 (56.9%) reported less than 150 minutes of physical activity a week, and 6 (8.2%) patients lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. CONCLUSIONS: Clinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize, and synthesize individual health information to inform and tailor primary care counseling to the patients’ context and readiness to change. The RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, the RFIT can inform brief interventions within primary care. JMIR Publications 2021-02-02 /pmc/articles/PMC7886616/ /pubmed/33528376 http://dx.doi.org/10.2196/24382 Text en ©Leanne Kosowan, Alan Katz, Gayle Halas, Lisa LaBine, Alexander Singer. Originally published in JMIR Formative Research (http://formative.jmir.org), 02.02.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on http://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Kosowan, Leanne
Katz, Alan
Halas, Gayle
LaBine, Lisa
Singer, Alexander
Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation
title Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation
title_full Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation
title_fullStr Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation
title_full_unstemmed Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation
title_short Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: Pragmatic Evaluation
title_sort using information technology to assess patient risk factors in primary care clinics: pragmatic evaluation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886616/
https://www.ncbi.nlm.nih.gov/pubmed/33528376
http://dx.doi.org/10.2196/24382
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