Abstract Background Many patients with chronic disease do not reach goals for management of their conditions. Self-management support provided by medical assistant health coaches within the clinical setting may help to improve clinical outcomes, but most studies to date lack statistical power or methodological rigor. Barriers to large scale implementation of the medical assistant coach model include lack of clinician buy-in and the absence of a business model that will make medical assistant health coaching sustainable. This study will add to the evidence base by determining the effectiveness of health coaching by medical assistants on clinical outcomes and patient self-management, by assessing the impact of health coaching on the clinician experience, and by examining the costs and potential savings of health coaching. Methods/Design This randomized controlled trial will evaluate the effectiveness of clinic-based medical assistant health coaches to improve clinical outcomes and self-management skills among low-income patients with uncontrolled type 2 diabetes, hypertension, or hyperlipidemia. A total of 441 patients from two San Francisco primary care clinics have been enrolled and randomized to receive a health coach (n = 224) or usual care (n = 217). Patients participating in the health coaching group will receive coaching for 12 months from medical assistants trained as health coaches. The primary outcome is a change in hemoglobin A1c, systolic blood pressure, or LDL cholesterol among patients with uncontrolled diabetes, hypertension and hyperlipidemia, respectively. Self-management behaviors, perceptions of the health care team and clinician, BMI, and chronic disease self-efficacy will be measured at baseline and after 12 months. Clinician experience is being assessed through surveys and qualitative interviews. Cost and utilization data will be analyzed through cost-predictive models. Discussion Medical assistants are an untapped resource to provide self-management support for patients with uncontrolled chronic disease. Having successfully completed recruitment, this study is uniquely poised to assess the effectiveness of the medical assistant health coaching model, to describe barriers and facilitators to implementation, and to develop a business case for sustainability. Trial registration ClinicalTrials.gov identifier NCT-01220336

Purpose

Health coaching by medical assistants could be a financially viable model for providing self-management support in primary care if its effectiveness were demonstrated. We investigated whether in-clinic health coaching by medical assistants improves control of cardiovascular and metabolic risk factors when compared with usual care.

Methods

We conducted a 12-month randomized controlled trial of 441 patients at 2 safety net primary care clinics in San Francisco, California. The primary outcome was a composite measure of being at or below goal at 12 months for at least 1 of 3 uncontrolled conditions at baseline as defined by hemoglobin A1c, systolic blood pressure, and low-density lipoprotein (LDL) cholesterol. Secondary outcomes were meeting all 3 goals and meeting individual goals. Data were analyzed using χ(2) tests and linear regression models.

Results

Participants in the coaching arm were more likely to achieve both the primary composite measure of 1 of the clinical goals (46.4% vs 34.3%, P = .02) and the secondary composite measure of reaching all clinical goals (34.0% vs 24.7%, P = .05). Almost twice as many coached patients achieved the hemoglobin A1c goal (48.6% vs 27.6%, P = .01). At the larger study site, coached patients were more likely to achieve the LDL cholesterol goal (41.8% vs 25.4%, P = .04). The proportion of patients meeting the systolic blood pressure goal did not differ significantly.

Conclusions

Medical assistants serving as in-clinic health coaches improved control of hemoglobin A1c and LDL levels, but not blood pressure, compared with usual care. Our results highlight the need to understand the relationship between patients' clinical conditions, interventions, and the contextual features of implementation.

Background

Team care can improve management of chronic conditions, but implementing a team approach in an academic primary care clinic presents unique challenges.

Objectives

To implement and evaluate the Teamlet Model, which uses health coaches working with primary care physicians to improve care for patients with diabetes and/or hypertension in an academic practice.

Design

Process and outcome measures were compared before and during the intervention in patients seen with the Teamlet Model and in a comparison patient group.

Participants

First year family medicine residents, medical assistants, health workers, and adult patients with either type 2 diabetes or hypertension in a large public health clinic.

Intervention

Health coaches, in coordination with resident primary care physicians, met with patients before and after clinic visits and called patients between visits.

Measurements

Measurement of body mass index, assessment of smoking status, and formulation of a self-management plan prior to and during the intervention period for patients in the Teamlet Model group. Testing for LDL and HbA1C and the proportion of patients at goal for blood pressure, LDL, and HbA1C in the Teamlet Model and comparison groups in the year prior to and during implementation.

Results

Teamlet patients showed improvement in all measures, though improvement was significant only for smoking, BMI, and self-management plan documentation and testing for LDL (p = 0.02), with a trend towards significance for LDL at goal (p = 0.07). Teamlet patients showed a greater, but non-significant, increase in the proportion of patients tested for HbA1C and proportion reaching goal for blood pressure, HgbA1C, and LDL compared to the comparison group patients. The difference for blood pressure was marginally significant (p = 0.06). In contrast, patients in the comparison group were significantly more likely to have had testing for LDL (P = 0.001).

Conclusions

The Teamlet Model may improve chronic care in academic primary care practices.

We sought to test the hypothesis that training medical assistants to provide health coaching would improve patients' experience of care received and overall satisfaction with their clinic.Randomized controlled trial.Low-income English- or Spanish-speaking patients aged 18 to 75 years with poorly controlled type 2 diabetes, hypertension, and/or hyperlipidemia were randomized to receive either a health coach or usual care for 12 months. Patient care experience was measured using the Patient Assessment of Chronic Illness Care (PACIC) scale at baseline and at 12 months. Patient overall satisfaction with the clinic was assessed with a single item asking if they would recommend the clinic to a friend or family member. PACIC and satisfaction scores were compared between study arms using generalized estimating equations to account for clustering at the clinician level.PACIC scores were available from baseline and at 12 months on 366 (76%) of the 441 patients randomized. At baseline, patients receiving health coaching were similar to those in the usual care group with respect to demographic and other characteristics, including mean PACIC scores (3.00 vs 3.06) and the percent who would "definitely recommend" their clinic (73% and 73%, respectively). At 12 months, coached patients had a significantly higher mean PACIC score (3.82 vs 3.13; P < .001) and were more likely to report they would definitely recommend their clinic (85% vs 73%; P = .002).Using medical assistants trained in health coaching significantly improved the quality of care that low-income patients with poorly controlled chronic disease reported receiving from their healthcare team.

Team care can improve management of chronic conditions, but implementing a team approach in an academic primary care clinic presents unique challenges. To implement and evaluate the Teamlet Model, which uses health coaches working with primary care physicians to improve care for patients with diabetes and/or hypertension in an academic practice. Process and outcome measures were compared before and during the intervention in patients seen with the Teamlet Model and in a comparison patient group. First year family medicine residents, medical assistants, health workers, and adult patients with either type 2 diabetes or hypertension in a large public health clinic. Health coaches, in coordination with resident primary care physicians, met with patients before and after clinic visits and called patients between visits. Measurement of body mass index, assessment of smoking status, and formulation of a self-management plan prior to and during the intervention period for patients in the Teamlet Model group. Testing for LDL and HbA1C and the proportion of patients at goal for blood pressure, LDL, and HbA1C in the Teamlet Model and comparison groups in the year prior to and during implementation. Teamlet patients showed improvement in all measures, though improvement was significant only for smoking, BMI, and self-management plan documentation and testing for LDL (p = 0.02), with a trend towards significance for LDL at goal (p = 0.07). Teamlet patients showed a greater, but non-significant, increase in the proportion of patients tested for HbA1C and proportion reaching goal for blood pressure, HgbA1C, and LDL compared to the comparison group patients. The difference for blood pressure was marginally significant (p = 0.06). In contrast, patients in the comparison group were significantly more likely to have had testing for LDL (P = 0.001). The Teamlet Model may improve chronic care in academic primary care practices.

Objectives

We sought to test the hypothesis that training medical assistants to provide health coaching would improve patients' experience of care received and overall satisfaction with their clinic.

Study design

Randomized controlled trial.

Methods

Low-income English- or Spanish-speaking patients aged 18 to 75 years with poorly controlled type 2 diabetes, hypertension, and/or hyperlipidemia were randomized to receive either a health coach or usual care for 12 months. Patient care experience was measured using the Patient Assessment of Chronic Illness Care (PACIC) scale at baseline and at 12 months. Patient overall satisfaction with the clinic was assessed with a single item asking if they would recommend the clinic to a friend or family member. PACIC and satisfaction scores were compared between study arms using generalized estimating equations to account for clustering at the clinician level.

Results

PACIC scores were available from baseline and at 12 months on 366 (76%) of the 441 patients randomized. At baseline, patients receiving health coaching were similar to those in the usual care group with respect to demographic and other characteristics, including mean PACIC scores (3.00 vs 3.06) and the percent who would "definitely recommend" their clinic (73% and 73%, respectively). At 12 months, coached patients had a significantly higher mean PACIC score (3.82 vs 3.13; P < .001) and were more likely to report they would definitely recommend their clinic (85% vs 73%; P = .002).

Conclusions

Using medical assistants trained in health coaching significantly improved the quality of care that low-income patients with poorly controlled chronic disease reported receiving from their healthcare team.

Objectives

The effectiveness of stool-based colorectal cancer (CRC) screening is contingent on colonoscopy completion in patients with an abnormal fecal immunochemical test (FIT). Understanding system and patient factors affecting follow-up of abnormal screening tests is essential to optimize care for high-risk cohorts.

Methods

This retrospective cohort study was conducted in an integrated safety-net system comprised of 11 primary-care clinics and one Gastroenterology referral unit and included patients 50-75 years, with a positive FIT between April 2012 and February 2015.

Results

Of the 2,238 patients identified, 1,245 (55.6%) completed their colonoscopy within 1-year of the positive FIT. The median time from positive FIT to colonoscopy was 184 days (interquartile range 140-232). Of the 13% of FIT positive patients not referred to gastroenterology, 49% lacked documentation addressing their abnormal result or counseling on the increased risk of CRC. Of the patients referred but who missed their appointments, 62% lacked documentation following up on the abnormal result in the absence of a completed colonoscopy. FIT positive patients never referred to gastroenterology or who missed their appointment after referrals were more likely to have comorbid conditions and documented illicit substance use compared with patients who completed a colonoscopy.

Conclusions

Despite access to colonoscopy and a shared electronic health record system, colonoscopy completion after an abnormal FIT is inadequate within this safety-net system. Inadequate follow-up is in part explained by inappropriate screening, but there is an absence of clear documentation and systematic workflow within both primary care and GI specialty care addressing abnormal FIT results.