Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM On Twitter
  • JABFM On YouTube
  • JABFM On Facebook
Research ArticleOriginal Research

The Impact of Health Coaching on Medication Adherence in Patients With Poorly Controlled Diabetes, Hypertension, and/or Hyperlipidemia: A Randomized Controlled Trial

David H. Thom, Rachel Willard-Grace, Danielle Hessler, Denise DeVore, Camille Prado, Thomas Bodenheimer and Ellen Chen
The Journal of the American Board of Family Medicine January 2015, 28 (1) 38-45; DOI: https://doi.org/10.3122/jabfm.2015.01.140123
David H. Thom
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel Willard-Grace
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Danielle Hessler
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Denise DeVore
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Camille Prado
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas Bodenheimer
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ellen Chen
the Department of Family and Community Medicine, University of California, San Francisco, School of Medicine; San Francisco (DHT, RW-G, DH, DD, CP, TB, EC); and the Silver Avenue Health Center, San Francisco, CA (EC).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    Figure 1.

    Consolidate Standards of Reporting Trials (CONSORT) diagram showing study enrollment and follow-up.

Tables

  • Figures
    • View popup
    Table 1. Demographic Characteristics of Participants Included in the Current Analysis, by Study Arm*
    CharacteristicsAll Participants (n = 288)Health Coaching Arm (n = 154)Usual Care Arm (n = 134)
    Age (years), mean (SD)53.4 (10.9)54.1 (9.8)52.7 (12.0)
    Female sex55.6 (160)55.8 (86)55.2 (74)
    Born outside the United States74.7 (215)72.7 (112)76.9 (103)
    Years in United States (if born outside United States), mean (SD)18.74 (11.20)19.50 (10.07)17.92 (12.30)
    Primary language
        English28.5 (82)30.5 (47)26.1 (35)
        Spanish68.4 (197)66.2 (102)70.9 (95)
        Other3.1 (9)3.2 (5)3.0 (4)
    Race/ethnicity
        Asian5.2 (15)3.9 (6)6.7 (9)
        African American18.4 (53)20.1 (31)16.4 (22)
        Latino or Hispanic70.5 (203)68.8 (106)72.4 (97)
        White2.4 (7)2.6 (4)2.2 (3)
        Other3.5 (10)3.5 (7)2.2 (3)
    Working status
        Employed full time17.0 (49)18.2 (28)15.7 (21)
        Employed part time25.3 (73)24.0 (37)26.9 (36)
        Unemployed/homemaker31.6 (91)28.6 (46)35.1 (47)
        Retired/disabled /SSI/other26.1 (75)29.2 (45)22.4 (30)
    Education
        <5th grade23.6 (68)23.4 (36)23.8 (32)
        6th to 8th grade22.2 (64)22.7 (35)21.6 (29)
        Some high school14.2 (41)13.6 (21)14.9 (20)
        High school graduate or GED16.3 (47)19.5 (30)12.7 (17)
        Some college/college graduate23.6 (68)20.8 (32)27.2 (36)
    Income
        <$5,00033.3 (96)33.8 (52)32.8 (44)
        $5,000–10,00025.3 (73)26.1 (35)24.7 (38)
        $10,000–20,00031.6 (91)30.6 (41)32.5 (50)
        >20,0009.7 (28)9.0 (14)10.4 (14)
    Number of medications, mean (SD)4.1 (2.1)4.3 (2.1)3.8 (2.1)
    • Data are % (n) unless otherwise indicated.

    • ↡* All differences are nonsignificant.

    • SD, standard deviation; SSI, supplemental security income.

    • View popup
    Table 2. Patient Concordance from Baseline to the End of the 12-Month Intervention*
    OutcomesHealth Coaching (%)Usual Care (%)Difference in ChangeP Value*
    Baseline12 MonthsChangeBaseline12 MonthsChange
    All medications with complete concordance† (n = 288)4862144852410.05
    All medications with medication name concordance‑ (n = 288)6474106867βˆ’111.03
    Patient-reported medications omitted from medical recordΒ§ (n = 265)1713βˆ’41413βˆ’1βˆ’3.39
    Medications in the medical record not reported by the patientβ€– (n = 277)2716βˆ’1125261βˆ’12.01
    • ↡* Adjusted for baseline differences in variables.

    • ↡† Complete concordance is defined as being concordant on medication name, dose, and dosing frequency.

    • ↡‑ Concordant by name refers to being concordant on medication name regardless of any differences in dose or frequency.

    • ↡§ Limited to patients who self-reported medications at baseline and 12 months (n = 145 in the health coaching group and n = 120 in the usual care group).

    • ↡‖ Limited to patients with charted medications at baseline and 12 months (n = 148 in the health coaching group and n = 129 in the usual care group).

    • View popup
    Table 3. Medication Adherence for All Medications (n = 287)
    OutcomesHealth CoachingUsual CareDifference in ChangeP Value
    Baseline12 MonthsChangeBaseline12 MonthsChange
    Days (of the past 7) that patient reported having taken medications as prescribed, mean (SD)4.29 (2.31)5.23 (2.02)0.944.40 (2.34)4.28 (2.44)βˆ’0.141.08<.001
    Patients who reported taking all medications as prescribed in the past 7 days (%)2135142527212.09
    Patients who report taking medications as prescribed for a mean of at least 5 of the past 7 days (%)4669235045βˆ’528<.001
    • SD, standard deviation.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 28 (1)
The Journal of the American Board of Family Medicine
Vol. 28, Issue 1
January-February 2015
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
The Impact of Health Coaching on Medication Adherence in Patients With Poorly Controlled Diabetes, Hypertension, and/or Hyperlipidemia: A Randomized Controlled Trial
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
3 + 15 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
The Impact of Health Coaching on Medication Adherence in Patients With Poorly Controlled Diabetes, Hypertension, and/or Hyperlipidemia: A Randomized Controlled Trial
David H. Thom, Rachel Willard-Grace, Danielle Hessler, Denise DeVore, Camille Prado, Thomas Bodenheimer, Ellen Chen
The Journal of the American Board of Family Medicine Jan 2015, 28 (1) 38-45; DOI: 10.3122/jabfm.2015.01.140123

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
The Impact of Health Coaching on Medication Adherence in Patients With Poorly Controlled Diabetes, Hypertension, and/or Hyperlipidemia: A Randomized Controlled Trial
David H. Thom, Rachel Willard-Grace, Danielle Hessler, Denise DeVore, Camille Prado, Thomas Bodenheimer, Ellen Chen
The Journal of the American Board of Family Medicine Jan 2015, 28 (1) 38-45; DOI: 10.3122/jabfm.2015.01.140123
Reddit logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Notes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Examining Variations in Action Plan Quality Among Adults With Type 2 Diabetes in Primary Care
  • Lay Health Coaching to Increase Appropriate Inhaler Use in COPD: A Randomized Controlled Trial
  • Making Inroads in Addressing Population Health in Underserved Communities With Type 2 Diabetes
  • Barriers and Facilitators to Expanding Roles of Medical Assistants in Patient-Centered Medical Homes (PCMHs)
  • Hydroxychloroquine Blood Levels in Systemic Lupus Erythematosus: Clarifying Dosing Controversies and Improving Adherence
  • Practical, Office-based Interventions That Improve Care Today
  • Google Scholar

More in this TOC Section

  • Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders
  • Increasing Primary Care Utilization of Medication-Assisted Treatment (MAT) for Opioid Use Disorder
  • Who Is Most Burdened in Health Care? An Analysis of Responses to the ICAN Discussion Aid
Show more Original Research

Similar Articles

Keywords

  • Health Behavior
  • Medication Adherence
  • Self Care

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2023 American Board of Family Medicine

Powered by HighWire