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Research ArticleOriginal Research

Delivery of Health Coaching by Medical Assistants in Primary Care

Zora Djuric, Michelle Segar, Carissa Orizondo, Jeffrey Mann, Maya Faison, Nithin Peddireddy, Matthew Paletta and Amy Locke
The Journal of the American Board of Family Medicine May 2017, 30 (3) 362-370; DOI: https://doi.org/10.3122/jabfm.2017.03.160321
Zora Djuric
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
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Michelle Segar
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
PhD
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Carissa Orizondo
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
MD
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Jeffrey Mann
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
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Maya Faison
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
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Nithin Peddireddy
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
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Matthew Paletta
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
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Amy Locke
From the Department of Family Medicine, University of Michigan, Ann Arbor (ZD, CO, JM, MF, NP, MP); Sport, Health, and Activity Research and Policy Center, University of Michigan, Ann Arbor (MS); and the Department of Family and Preventive Medicine, University of Utah, Salt Lake City (AL).
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Article Figures & Data

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    Figure 1.

    Self-care weekly planning worksheet developed for use in health coaching. This form was used by patients to formulate their own plans for better diet, physical activity, and/or sleep.

Tables

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    Table 1.

    Accrual, Retention, and Number of Coaching Contacts in the My Health Coach Study*

    Study DataNo.
    Referred patients167
    Subjects enrolled82
    Coaching goals selected
        Physical activity only9
        Diet only12
        Physical activity and diet61
        Sleep, physical activity, and/or diet†24
    Subjects who completed 8 weeks59
    Subjects who completed 12 weeks40
    Attempted calls719
    Completed calls500
    Contacts in person‡39
    • ↵* Study enrollment occurred September 3, 2014, through April 15, 2016, in a large, multiprovider family medicine practice.

    • ↵† Sleep alone was not selected by any study participant.

    • ↵‡ Study contacts were mainly by telephone appointment, but if a subject was in the office while in the study, the coaching contact was completed in person.

    • View popup
    Table 2.

    Characteristics of Subjects Who Did or Did Not Complete 12 Weeks of Health Coaching

    Baseline CharacteristicsSubjects Who Completed the Study (n = 39)Subjects Who Withdrew (n = 41)P Value*
    Age, years53 (11)51 (10).484
    Female sex†3039.027
    Body mass index (kg/m2)34.5 (7.0)35.1 (7.6).705
    Caucasian race†2827.091
    Married/in a committed relationship3322.003
    College graduate3233.543
    Physical activity (min/wk)‡324 (291)303 (388).787
    Moderate or strenuous physical activity (min/wk)‡107 (123)158 (345).391
    Fruit, vegetable, and bean intake (servings/day)§4.7 (4.0)3.7 (2.4).129
    Pop and sugary beverage intake (servings/day)§0.30 (0.48)0.39 (1.00).568
    Sleep score‖16.8 (3.6)16.9 (4.2).902
    • Data shown are mean (standard deviation) or number of subjects.

    • ↵* Two-sample t tests were used to compare the characteristics of subjects who did or did not complete the study. The Pearson χ2 test was used to calculate the exact 2-sided p-value for categorical variables.

    • ↵† Two subjects—one who completed the study and one who did not—did not fill out an Health Status Questionnaire (HSQ) at baseline, and demographic data are not available for these individuals, except for sex and race, which were collected outside of questionnaires, as required for institutional review board reporting. For sex and race, the data shown are therefore for 40 subjects who completed the study and 42 subjects who withdrew. Only 4 smokers were in the study, and none of them completed it.

    • ↵‡ Physical activity was from the previously validated, modified version of the Godin Leisure Time Questionnaire, which was used to assess minutes of each type of physical activity.24,25

    • ↵§ Diet was assessed using questions from the 2013 Behavioral Risk Factor Surveillance System Questionnaire.23 Intakes of juice, fruit, beans, dark green vegetables, orange vegetables, and other vegetables (½-cup serving sizes) were asked about. Regular and diet soda, and sugar-sweetened beverages (12-oz serving sizes) were asked about.

    • ↵‖ Sleep was assessed using 5 items from the PROMIS Sleep Disturbance Item Bank version 1.0, and 1 additional item as described in the Methods. This resulted in 6 items total scored on a scale of 1 to 526.

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    Table 3.

    Study Measures for Subjects Who Completed 12 Weeks of Health Coaching

    AssessmentBaseline12 WeeksP Value*
    Body mass index (kg/m2)34.1 (7.0)33.4 (7.0).014
    Waist circumference (cm)104 (16)100 (16)<.001
    Systolic blood pressure (mm)116 (10)115 (9).385
    Diastolic blood pressure (mm)70 (8)66 (8).031
    Fruits, vegetables, and beans (½-cup servings/day)5.1 (3.8)5.8 (3.9).291
    Sugary beverages (12-oz servings/day)0.35 (0.51)0.17 (0.31).039
    Total physical activity (min/week)340 (292)476 (388).007
    Moderate or strenuous physical activity (min/week)123 (124)207 (263).061
    Sleep score17.2 (3.5)15.9 (3.9).016
    Stress score†18.3 (7.6)16.8 (8.3).229
    Fatigue score‡22.7 (7.8)20.9 (7.8).096
    Confidence to carry out physical activity§6.8 (1.6)7.7 (1.7).002
    Confidence for improving diet§7.3 (1.4)7.2 (2.0).756
    • Data are mean (standard deviation) for 33 subjects who completed measures at both baseline and 12 weeks. The data include all subjects, regardless of coaching goal. Of the 33 subjects with completed 12-week data, 32 subjects received coaching that included a physical activity goal, 26 subjects with a diet goal, and 7 subjects with a better sleep goal.

    • ↵* P values for differences over time are from paired t tests for subjects who completed 12 weeks of health coaching. A total of 33 subjects had paired anthropometric measures, and 32 subjects had paired questionnaire data. Physical activity, diet, and sleep were assessed using the methods described in Table 2.

    • ↵† Stress was assessed using the 10-item Perceived Stress Scale developed by Cohen et al.28

    • ↵‡ Fatigue was assessed using the Neuor-QOL Item Bank 1.0 Fatigue Short Form (8 items) from the Patient-Reported Outcomes Measurement Information System (PROMIS) health organization.26

    • ↵§ Confidence for carrying out the indicated health behaviors was assessed using a study-specific questionnaire of 2 items that were answered on a 5-point scale (see the Methods).

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    Table 4.

    Study Evaluation by Health Care Providers at the Practice (n = 11) after the My Health Coach Study Was Completed

    QuestionProviders Who Agree or Mostly Agree (n)*
    Recruiting for the study was easy.9
    The study impeded patient flow.1
    It took too much time to explain the study to patients.†0
    It was hard to remember to mention the study to patients.5
    Patients thought it was helpful to have the study available.8
    I would feel comfortable supervising an MA health coach.7
    Health coaching should be done by other staff, not MAs.2
    I liked having health coaching available for our patients who need it.‡10
    • ↵* The survey questions were answered on a 5-point Likert-type scale, with responses of do not agree, mostly disagree, neutral, mostly agree, or agree.

    • ↵† One provider left this item blank; the rest were either neutral (n = 4) or disagreed/mostly disagreed.

    • ↵‡ One provider was neutral about this item; the rest agreed or mostly agreed.

    • MA, medical assistant.

    • View popup
    Table 5.

    Study Evaluation by Medical Assistants Other Than Those Acting as Health Coaches (n = 9) after the My Health Coach Study Was Completed

    QuestionMAs Who Agree or Mostly Agree (n)*
    I would enjoy being a health coach.3
    MAs should be health coaches.2
    Recruiting for health coaching interfered with patient flow in our practice.0
    Patients thought it was helpful to have health coaching.5
    Patients gave good comments about the study.5
    Health coaching should be done by staff other than MAs.6
    It was a good thing to have health coaching available.6
    • ↵* The survey questions were answered using a 5-point Likert-type scale, with responses of do not agree, mostly disagree, neutral, mostly agree, or agree. MA, medical assistant.

    • View popup
    Table 6.

    Study Evaluation by 34 Subjects Who Completed 12 Weeks of Health Coaching

    QuestionSubjects Who Agree or Mostly Agree (n)*
    I like the changes in my life from having a health coach.31
    I made more changes with the health coach versus what I could have done on my own.29
    Health coaching was a bother.1
    Health coaching took too much time.0
    I wanted more time with the health coach.12
    I liked the regular contacts with the health coach.32
    I used self-monitoring of diet.27
    I used self-monitoring of physical activity.29
    I intend to keep doing what the coach helped me change.32
    I would recommend health coaching to my friends and family.31
    I think health coaching should be part of every family medicine doctor's office.31
    I intend to continue with health coaching.21
    • ↵* The survey questions were answered using a 5-point Likert-type scale, with responses of do not agree, mostly disagree, neutral, mostly agree, or agree.

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The Journal of the American Board of Family     Medicine: 30 (3)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 3
May-June 2017
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Delivery of Health Coaching by Medical Assistants in Primary Care
Zora Djuric, Michelle Segar, Carissa Orizondo, Jeffrey Mann, Maya Faison, Nithin Peddireddy, Matthew Paletta, Amy Locke
The Journal of the American Board of Family Medicine May 2017, 30 (3) 362-370; DOI: 10.3122/jabfm.2017.03.160321

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Delivery of Health Coaching by Medical Assistants in Primary Care
Zora Djuric, Michelle Segar, Carissa Orizondo, Jeffrey Mann, Maya Faison, Nithin Peddireddy, Matthew Paletta, Amy Locke
The Journal of the American Board of Family Medicine May 2017, 30 (3) 362-370; DOI: 10.3122/jabfm.2017.03.160321
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