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

被引:3
|
作者
Kosowan, Leanne [1 ]
Katz, Alan [1 ,2 ]
Halas, Gayle [1 ]
LaBine, Lisa [1 ]
Singer, Alexander [1 ]
机构
[1] Univ Manitoba, Rady Fac Hlth Sci, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada
[2] Manitoba Ctr Hlth Policy, Winnipeg, MB, Canada
关键词
risk factors; information technology; primary health care; primary prevention; PHYSICAL-ACTIVITY; BEHAVIOR-CHANGE; MENTAL-HEALTH; LIFE-STYLE; COMMUNICATION TECHNOLOGY; TRANSTHEORETICAL MODEL; FACTOR REDUCTION; INTERVENTIONS; PREVENTION; BENEFITS;
D O I
10.2196/24382
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Development and Evaluation of CAHPS Questions to Assess the Impact of Health Information Technology on Patient Experiences With Ambulatory Care
    McInnes, D. Keith
    Brown, Julie A.
    Hays, Ron D.
    Gallagher, Patricia
    Ralston, James D.
    Hugh, Mildred
    Kanter, Michael
    Serrato, Carl A.
    Cosenza, Carol
    Halamka, John
    Ding, Lin
    Cleary, Paul D.
    MEDICAL CARE, 2012, 50 (11) : S11 - S19
  • [2] Patient Internet use for health information at three urban primary care clinics
    Dickerson, S
    Reinhart, AM
    Feeley, TH
    Bidani, R
    Rich, E
    Garg, VK
    Hershey, CO
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2004, 11 (06) : 499 - 504
  • [3] Development and evaluation of an osteoarthritis risk model for integration into primary care health information technology
    Black, Jason E.
    Terry, Amanda L.
    Lizotte, Daniel J.
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 141
  • [4] Evaluation of Digital Health & Information Technology in Primary Care
    Liaw, Siaw-Teng
    Georgiou, Andrew
    Marin, Heimar
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 144
  • [5] Patient perspectives on tablet-based technology to collect risk factor information in primary care
    Leanne Kosowan
    Alan Katz
    Gayle Halas
    Alexander Singer
    BMC Family Practice, 22
  • [6] Patient perspectives on tablet-based technology to collect risk factor information in primary care
    Kosowan, Leanne
    Katz, Alan
    Halas, Gayle
    Singer, Alexander
    BMC FAMILY PRACTICE, 2021, 22 (01)
  • [7] Strategies to Assess Risk for Hereditary Cancer in Primary Care Clinics: A Cluster Randomized Clinical Trial
    Swisher, Elizabeth M.
    Harris, Heather M.
    Knerr, Sarah
    Theoryn, Tesla N.
    Norquist, Barbara M.
    Brant, Jeannine
    Shirts, Brian H.
    Beers, Faith
    Cameron, Dalaina
    Dusic, Emerson J.
    Riemann, Laurie A.
    Devine, Beth
    Raff, Michael L.
    Kadel, Rabindra
    Cabral, Howard J.
    Wang, Catharine
    JAMA NETWORK OPEN, 2025, 8 (03)
  • [8] Cardiovascular risk factors among retired attendees visiting primary care clinics
    Al Turki, Yousef Abdullah
    PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2014, 30 (03) : 515 - 518
  • [9] Shared decision making: using health information technology to integrate patient choice into primary care
    Jones, J. B.
    Bruce, Christa A.
    Shah, Nirav R.
    Taylor, William F.
    Stewart, Walter F.
    TRANSLATIONAL BEHAVIORAL MEDICINE, 2011, 1 (01) : 123 - 133
  • [10] Cardiovascular risk factors and Primary Care: evaluation and intervention
    Lobos Bejarano, Jose Maria
    Brotons Cuixart, Carlos
    ATENCION PRIMARIA, 2011, 43 (12): : 668 - 677