Factors associated with smoking cessation attempts in a public, safety-net primary care system.

Smoking cessation rates are low in safety-net settings. We conducted a retrospective analysis using electronic health record (EHR) data on adults with at least three primary care visits from 2016 to 2019 in the San Francisco Health Network (SFHN), a network of clinics serving publicly insured and uninsured San Francisco residents. We used multivariable regression to identify factors associated with 1) any cessation attempt, defined as smoking status change from "current smoker" at the index visit to "former smoker" at visit 2 or 3, and 2) a sustained cessation attempt, defined as smoking status change from "current smoker" at the index visit to "former smoker" at visits 2 and 3. We identified 7,388 adults currently smoking at the index visit; 26% (n = 1,908) made any cessation attempt, and 9% (n = 650) made a sustained cessation attempt. Factors associated with greater odds of any and sustained cessation attempts included Latinx/Hispanic ethnicity, American Indian/Alaskan Native race, and Spanish as the primary language. Meanwhile, older age, Medicaid insurance, and Chinese (i.e., Cantonese/Mandarin) as the primary language were associated with lower odds of both outcomes. Patient factors such as older age, Medicaid insurance, and speaking Chinese represent targets for improving cessation rates. Targeting interventions for these specific factors could further improve smoking cessation rates for lower cessation groups.

Increased Colorectal Cancer Screening Sustained with Mailed Fecal Immunochemical Test Outreach.

BACKGROUND & AIMS: Reports of mailed fecal immunochemical test (FIT) outreach effectiveness over time are minimal. We aimed to better evaluate a mailed FIT program with longitudinal metrics. METHODS: A total of 10,771 patients aged 50 to 75 years not up-to-date with colorectal cancer screening were randomized to intervention or usual care. The intervention arm received an advanced notification call and informational postcard prior to a mailed FIT. Usual care was at the discretion of the primary care provider. Patients were followed for up to 2.5 years. The primary outcome was the difference in cumulative proportion of completed FIT screening between arms. Screening was further examined with the proportion of time up-to-date, consistency of adherence, and frequency of abnormal FIT. RESULTS: The cumulative proportion of FIT completion was higher in the outreach intervention (73.2% vs 55.1%; P < .001). The proportion of time covered by screening was higher in the intervention group (46.8% vs 27.3%; Δ19.6%; 95% confidence interval, 18.2%-20.9%). Patients assigned to FIT outreach were more likely to consistently complete FITs (2 completed of 2 offered) (50.1% vs 21.8%; P < .001). However, for patients who did not complete the FIT during the first cycle, only 17.1% completed a FIT during the second outreach cycle. The number and overall proportion of abnormal FIT was significantly higher in the outreach intervention (6.9% Outreach vs 4.1% Usual Care; P < .01). CONCLUSIONS: Organized mailed FIT outreach significantly increased colorectal cancer screening over multiple years in this safety-net health system. Although mailing was overall effective, the effect was modest in patients who did not complete FIT in first cycle of intervention. (ClincialTrials.gov, NCT02613260).

Standardized Workflows Improve Colonoscopy Follow-Up After Abnormal Fecal Immunochemical Tests in a Safety-Net System.

BACKGROUND: How clinical teams function varies across sites and may affect follow-up of abnormal fecal immunochemical test (FIT) results. AIMS: This study aimed to identify the characteristics of clinical practices associated with higher diagnostic colonoscopy completion after an abnormal FIT result in a multi-site integrated safety-net system. METHODS: We distributed survey questionnaires about tracking and follow-up of abnormal FIT results to primary care team members across 11 safety-net clinics from January 2017 to April 2017. Surveys were distributed at all-staff clinic meetings and electronic surveys sent to those not in attendance. Participants received up to three reminders to complete the survey. RESULTS: Of the 501 primary care team members identified, 343 (68.5%) completed the survey. In the four highest-performing clinics, nurse managers identified at least two team members who were responsible for communicating abnormal FIT results to patients. Additionally, team members used a clinic-based registry to track patients with abnormal FIT results until colonoscopy completion. Compared to higher-performing clinics, lower-performing clinics more frequently cited competing health issues (56% vs. 40%, p = 0.03) and lack of patient priority (59% vs. 37%, p < 0.01) as barriers and were also more likely to discuss abnormal results at a clinic visit (83% vs. 61%, p < 0.01). CONCLUSIONS: Our findings suggest organized and dedicated efforts to communicate abnormal FIT results and track patients until colonoscopy completion through registries is associated with improved follow-up. Increased utilization of electronic health record platforms to coordinate communication and navigation may improve diagnostic colonoscopy rates in patients with abnormal FIT results.

Effectiveness and Cost of Organized Outreach for Colorectal Cancer Screening: A Randomized, Controlled Trial.

BACKGROUND: Colorectal cancer (CRC) screening remains underused, especially in safety-net systems. The objective of this study was to determine the effectiveness, costs, and cost-effectiveness of organized outreach using fecal immunochemical tests (FITs) compared with usual care. METHODS: Patients age 50-75 years eligible for CRC screening from eight participating primary care safety-net clinics were randomly assigned to outreach intervention with usual care vs usual care alone. The intervention included a mailed postcard and call, followed by a mailed FIT kit, and a reminder phone call if the FIT kit was not returned. The primary outcome was screening participation at 1 year and a microcosting analysis of the outreach activities with embedded long-term cost-effectiveness of outreach. All statistical tests were two-sided. RESULTS: A total of 5386 patients were randomly assigned to the intervention group and 5434 to usual care. FIT screening was statistically significantly higher in the intervention group than in the control group (57.9% vs 37.4%, P < .001; difference = 20.5%, 95% confidence interval = 18.6% to 22.4%). In the intervention group, FIT completion rate was higher in patients who had previously completed a FIT vs those who had not (71.9% vs 35.7%, P < .001). There was evidence of effect modification of the intervention by language, and clinic. Outreach cost approximately $23 per patient and $112 per additional patient screened. Projecting long-term outcomes, outreach was estimated to cost $9200 per quality-adjusted life-year gained vs usual care. CONCLUSION: Population-based management with organized FIT outreach statistically significantly increased CRC screening and was cost-effective in a safety-net system. The sustainability of the program and any impact of economies of scale remain to be determined.

Recent cessation attempts and receipt of cessation services among a diverse primary care population - A mixed methods study.

Smoking rates are high among low-income populations who seek care in safety-net clinics. While most safety-net clinics screen for cigarette smoking, there are substantial disparities in the delivery of smoking cessation counseling in these systems. We conducted a mixed method study between July 2016 and April 2017 to examine receipt of smoking cessation counseling and estimate recent cessation attempts among primary care patients in four safety-net clinics in San Francisco. We used the electronic health record (EHR) to examine receipt of cessation services and estimate cessation attempts, defined as transition from current to former smoking status during the 9-month study period. We conducted interviews with 10 staff and 16 patients to assess barriers to and facilitators of providing cessation services. Of the 3301 smokers identified via EHR, the majority (95.6%) received some type of cessation counseling during at least one clinical encounter, and 17.6% made a recent cessation attempt. Recent smoking cessation attempts and receipt of smoking cessation services differed significantly by clinic after adjusting for demographic factors. We identified patient and staff-level pre-disposing, reinforcing and enabling factors to increase delivery of cessation care, including increasing access to cessation medications and higher intensity counseling using a team-based approach. The EHR presents a useful tool to monitor patients' recent cessation attempts and access to cessation care. Combining EHR data with qualitative methods can help guide and streamline interventions to improve quality of cessation care and promote quit attempts among patients in safety-net settings.

Adapting and Evaluating a Health System Intervention From Kaiser Permanente to Improve Hypertension Management and Control in a Large Network of Safety-Net Clinics.

BACKGROUND: Nearly half of Americans with diagnosed hypertension have uncontrolled blood pressure (BP) while some integrated healthcare systems, such as Kaiser Permanente Northern California, have achieved control rates upwards 90%. METHODS AND RESULTS: We adapted Kaiser Permanente's evidence-based treatment protocols in a racially and ethnically diverse population at 12 safety-net clinics in the San Francisco Health Network. The intervention consisted of 4 elements: a hypertension registry, a simplified treatment intensification protocol that included fixed-dose combination medications containing diuretics, standardized BP measurement protocol, and BP check visits led by registered nurse and pharmacist staff. The study population comprised patients with hypertension who made ≥1 primary care visits within the past 24 months (n=15 917) and had a recorded BP measurement within the past 12 months. We conducted a postintervention time series analysis from August 2014 to August 2016 to assess the effect of the intervention on BP control for 24 months for the pilot site and for 15 months for 11 other San Francisco Health Network clinics combined. Secondary outcomes were changes in use of guideline-recommended medication prescribing. Rates of BP control increased at the pilot site (68%-74%; P<0.01) and the 11 other San Francisco Health Network clinic sites (69%-74%; P<0.01). Statistically significant improvements in BP control rates (P<0.01) at the 11 San Francisco Health Network clinic sites occurred in all racial and ethnic groups (blacks, 60%-66%; whites, 69%-75%; Latinos, 67%-72%; Asians, 78%-82%). Use of fixed-dose combination medications increased from 10% to 13% (P<0.01), and the percentage of angiotensin-converting enzyme inhibitor prescriptions dispensed in combination with a thiazide diuretic increased from 36% to 40% (P<0.01). CONCLUSIONS: Evidence-based system approaches to improving BP control can be implemented in safety-net settings and could play a pivotal role in achieving improved population BP control and reducing hypertension disparities.

Inadequate Utilization of Diagnostic Colonoscopy Following Abnormal FIT Results in an Integrated Safety-Net System.

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.

Costs for a health coaching intervention for chronic care management.

OBJECTIVES: Health coaches can help patients gain knowledge, skills, and confidence to manage their chronic conditions. Coaches may be particularly valuable in resource-poor settings, but they are not typically reimbursed by insurance, raising questions about their budgetary impact. STUDY DESIGN: The Health Coaching in Primary Care (HCPC) study was a randomized controlled trial that showed health coaches were effective at helping low-income patients improve control of their type 2 diabetes, hypertension, and/or hyperlipidemia at 12 months compared with usual care. METHODS: We estimated the cost of employing 3 health coaches and mapped these costs to participants. We tested whether the added costs of the coaches were offset by any savings in healthcare utilization within 1 year. Healthcare utilization data were obtained from 5 sources. Multivariate models assessed differences in costs at 1 year controlling for baseline characteristics. RESULTS: Coaches worked an average of 9 hours with each participant over the length of the study. On average, the health coach intervention cost $483 per participant per year. The average healthcare costs for the coaching group was $3207 compared with $3276 for the control group (P = .90). There was no evidence that the coaching intervention saved money at 1 year. CONCLUSIONS: Health coaches have been shown to improve clinical outcomes related to chronic disease management. We found that employing health coaches adds an additional cost of $483 per patient per year. The data do not suggest that health coaches pay for themselves by reducing healthcare utilization in the first year.

Health coaching by medical assistants improves patients' chronic care experience.

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.

Health coaching by medical assistants to improve control of diabetes, hypertension, and hyperlipidemia in low-income patients: a randomized controlled trial.

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.

The impact of health coaching on medication adherence in patients with poorly controlled diabetes, hypertension, and/or hyperlipidemia: a randomized controlled trial.

BACKGROUND: Lack of concordance between medications listed in the medical record and taken by the patient contributes to poor outcomes. We sought to determine whether patients who received health coaching by medical assistants improved their medication concordance and adherence. METHODS: This was a nonblinded, randomized, controlled, pragmatic intervention trial. English- or Spanish-speaking patients, age 18 to 75 years, with poorly controlled type 2 diabetes, hypertension, and/or hyperlipidemia were enrolled from 2 urban safety net clinics and randomized to receive 12 months of health coaching versus usual care. RESULTS: Outcomes included concordance between medications documented in the medical record and those reported by the patient and adherence based on the patient-reported number of days (of the last 7) on which patient took all prescribed medications. The proportion of medications completely concordant increased in the coached group versus the usual care group (difference in change, 10%; P = .05). The proportion of medications listed in the chart but not taken significantly decreased in the coached group compared with the usual care group (difference in change, 17%; P = .013). The mean number of adherent days increased in the coached but not in the usual care group (difference in change, 1.08; P < .001). CONCLUSIONS: Health coaching by medical assistants significantly increases medication concordance and adherence.

Does health coaching change patients' trust in their primary care provider?

OBJECTIVE: To assess the impact of health coaching on patients' in their primary care provider. METHODS: Randomized controlled trial comparing health coaching with usual care. PARTICIPANTS: Low-income English or Spanish speaking patients age 18-75 with poorly controlled type 2 diabetes, hypertension and/or hyperlipidemia. MAIN OUTCOME MEASURE: Patient trust in their primary care provider measured by the 11-item Trust in Physician Scale, converted to a 0-100 scale. ANALYSIS: Linear mixed modeling. RESULTS: A total of 441 patients were randomized to receive 12 months of health coaching (n=224) vs. usual care (n=217). At baseline, the two groups were similar to those in the usual care group with respect to demographic characteristics and levels of trust in their provider. After 12 months, the mean trust level had increased more in patients receiving health coaching (3.9 vs. 1.5, p=0.47), this difference remained significant after adjustment for number of visits to primary care providers (adjusted p=.03). CONCLUSIONS: Health coaching appears to increase patients trust in their primary care providers. PRACTICE IMPLICATIONS: Primary care providers should consider adding health coaches to their team as a way to enhance their relationship with their patients.

Impact of peer health coaching on glycemic control in low-income patients with diabetes: a randomized controlled trial.

PURPOSE: Peer health coaches offer a potential model for extending the capacity of primary care practices to provide self-management support for patients with diabetes. We conducted a randomized controlled trial to test whether clinic-based peer health coaching, compared with usual care, improves glycemic control for low-income patients who have poorly controlled diabetes. METHOD: We undertook a randomized controlled trial enrolling patients from 6 public health clinics in San Francisco. Twenty-three patients with a glycated hemoglobin (HbA1C) level of less than 8.5%, who completed a 36-hour health coach training class, acted as peer coaches. Patients from the same clinics with HbA1C levels of 8.0% or more were recruited and randomized to receive health coaching (n = 148) or usual care (n = 151). The primary outcome was the difference in change in HbA1C levels at 6 months. Secondary outcomes were proportion of patients with a decrease in HbA1C level of 1.0% or more and proportion of patients with an HbA1C level of less than 7.5% at 6 months. Data were analyzed using a linear mixed model with and without adjustment for differences in baseline variables. RESULTS: At 6 months, HbA1C levels had decreased by 1.07% in the coached group and 0.3% in the usual care group, a difference of 0.77% in favor of coaching (P = .01, adjusted). HbA1C levels decreased 1.0% or more in 49.6% of coached patients vs 31.5% of usual care patients (P = .001, adjusted), and levels at 6 months were less than 7.5% for 22.0% of coached vs 14.9% of usual care patients (P = .04, adjusted). CONCLUSIONS: Peer health coaching significantly improved diabetes control in this group of low-income primary care patients.

The effectiveness of medical assistant health coaching for low-income patients with uncontrolled diabetes, hypertension, and hyperlipidemia: protocol for a randomized controlled trial and baseline characteristics of the study population.

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.

The myth of the lone physician: toward a collaborative alternative.

Cultural values and beliefs about the primary care physician bolster the myth of the lone physician: a competent professional who is esteemed by colleagues and patients for his or her willingness to sacrifice self, accept complete responsibility for care, maintain continuity and accessibility, and assume the role of lone decision maker in clinical care. Yet the reality of current primary care models is often fragmented, impersonal care for patients and isolation and burnout for many primary care physicians. An alternative to the mythological lone physician would require a paradigm shift that places the primary care physician within the context of a highly functioning health care team. This new mythology better fulfills the collaborative, interprofessional, patient-centered needs of new models of care, and might help to ensure that the work of primary care physicians remains compassionate, gratifying, and meaningful.

The effects of Tai Chi on the balance control of elderly persons with visual impairment: a randomised clinical trial.

BACKGROUND: balance control is a major problem for older individuals with poor vision. There are limitations, however, for visually impaired elderly persons wishing to participate in exercise programmes. The benefits of Tai Chi for balance control, muscle strength and preventing falls have been demonstrated with sighted elderly subjects. This study was designed to extend those findings to elderly persons with visual impairment. OBJECTIVE: to investigate the effects of Tai Chi on the balance control of elderly persons with visual impairment. DESIGN: randomised clinical trial. SETTING: residential care homes. SUBJECTS: forty visually impaired persons aged 70 or over. METHODS: the participants were randomly divided into Tai Chi and control groups and assessed pre- and post-intervention using three tests: (i) passive knee joint repositioning to test knee proprioception; (ii) concentric isokinetic strength of the knee extensors and flexors and (iii) a sensory organisation test to quantify an individual's ability to maintain balance in a variety of complex sensory conditions. RESULTS: after intervention, the Tai Chi participants showed significant improvements in knee proprioception and in their visual and vestibular ratios compared with the control group. CONCLUSION: practicing Tai Chi can improve the balance control of visually impaired elderly persons.

Balance control in very old adults with and without visual impairment.

Good balance, an important ability in controlling body movement, declines with age. Also, balance appears to decrease when visual input is restricted, while this has been poorly investigated among visually impaired very old adults. The objective of this study is thus to explore whether the balance control of the very old differs with varying degrees of visual impairment. This cross-sectional study was conducted in community centers and residential care homes. Thirty-three visually impaired (17 = low vision; 16 = blind) and 15 sighted elderly aged ≥ 70 years participated in the study. All participants were assessed: (1) concentric isokinetic strength of the knee extensors and flexors; (2) a sensory organization test to measure their ability to use somatosensory, visual, and vestibular information to control standing balance; (3) a perturbed double-leg stance test to assess the ability of the automatic motor system to quickly recover following an unexpected external disturbance; (4) the five times sit-to-stand test. Compared with low-vision subjects, the sighted elderly achieved higher peak torque-to-body weight ratios in concentric knee extension. The sighted elderly showed less body sway than the low vision and blind subjects in sensory conditions where they benefited from visual inputs to help them maintain standing balance. The sighted and low-vision subjects achieved smaller average body sway angles during forward and backward platform translations compared to the blind subjects. Low vision and blindness decrease balance control in elderly.

Building teams in primary care: what do nonlicensed allied health workers want?

INTRODUCTION: Nonlicensed allied health workers are becoming increasingly important in collaborative team care, yet we know little about their experiences while filling these roles. To explore their perceptions of working as health coaches in a chronic-disease collaborative team, the teamlet model, we conducted a qualitative study to understand the nature and dynamics of this emerging role. METHODS: During semistructured interviews, 11 health coaches reflected on their yearlong experience in the teamlet model at an urban underserved primary care clinic. Investigators conducted a thematic analysis of transcriptions of the interviews using a grounded theory process. RESULTS: Four themes emerged: 1) health-coach roles and responsibilities included acting as a patient liaison between visits, providing patient education and cultural brokering during medical visits, and helping patients navigate the health care system; 2) communication and relationships in the teamlet model of care were defined by a triad of the patient, health coach, and resident physician; 3) interest in the teamlet model was influenced by allied health workers' prior education and health care roles; and 4) factors influencing the effectiveness of the model were related to clinical and administrative time pressures and competing demands of other work responsibilities. CONCLUSION: Nonlicensed allied health workers participating in collaborative teams have an important role in liaising between patients and their primary care physicians, advocating for patients through cultural brokering, and helping patients navigate the health care system. To maximize their job satisfaction, their selection should involve strong consideration of motivation to participate in these expanded roles, and protected time must be provided for them to carry out their responsibilities and optimize their effectiveness.