Primary Care Nurse Practitioner Work Environments and Hospitalizations and ED Use Among Chronically Ill Medicare Beneficiaries.

BACKGROUND: Nurse practitioners (NPs) play a critical role in delivering primary care, particularly to chronically ill elderly. Yet, many NPs practice in poor work environments which may affect patient outcomes. OBJECTIVE: We investigated the relationship between NP work environments in primary care practices and hospitalizations and emergency department (ED) use among chronically ill elderly. RESEARCH DESIGN: We used a cross-sectional design to collect survey data from NPs about their practices. The survey data were merged with Medicare claims data. SUBJECTS: In total, 979 primary care practices employing NPs and delivering care to chronically ill Medicare beneficiaries (n=452,931) from 6 US states were included. MEASURES: NPs completed the Nurse Practitioner-Primary Care Organizational Climate Questionnaire-a valid and reliable measure for work environment. Data on hospitalizations and ED use was obtained from Medicare claims. We used Cox regression models to estimate risk ratios. RESULTS: After controlling for covariates, we found statistically significant associations between practice-level NP work environment and 3 outcomes: Ambulatory Care Sensitive (ACS) ED visits, all-cause ED visits, and all-cause hospitalizations. With a 1-unit increase in the work environment score, the risk of an ACS-ED visit decreased by 4.4% [risk ratio (RR)=0.956; 99% confidence interval (CI): 0.918-0.995; P=0.004], an ED visit by 3.5% (RR=0.965; 99% CI: 0.933-0.997; P=0.005), and a hospitalization by 4.0% (RR=0.960;99% CI: 0.928-0.993; P=0.002). There was no relationship between NP work environment and ACS hospitalizations. CONCLUSION: Favorable NP work environments are associated with lower hospital and ED utilization. Practice managers should focus on NP work environments in quality improvement strategies.

Development of High-Risk Geriatric Polypharmacy Electronic Clinical Quality Measures and a Pilot Test of EHR Nudges Based on These Measures.

BACKGROUND: Inappropriate polypharmacy, prevalent among older patients, is associated with substantial harms. OBJECTIVE: To develop measures of high-risk polypharmacy and pilot test novel electronic health record (EHR)-based nudges grounded in behavioral science to promote deprescribing. DESIGN: We developed and validated seven measures, then conducted a three-arm pilot from February to May 2019. PARTICIPANTS: Validation used data from 78,880 patients from a single large health system. Six physicians were pre-pilot test environment users. Sixty-nine physicians participated in the pilot. MAIN MEASURES: Rate of high-risk polypharmacy among patients aged 65 years or older. High-risk polypharmacy was defined as being prescribed ≥5 medications and satisfying ≥1 of the following high-risk criteria: drugs that increase fall risk among patients with fall history; drug-drug interactions that increase fall risk; thiazolidinedione, NSAID, or non-dihydropyridine calcium channel blocker in heart failure; and glyburide, glimepiride, or NSAID in chronic kidney disease. INTERVENTIONS: Physicians received EHR alerts when renewing or prescribing certain high-risk medications when criteria were met. One practice received a "commitment nudge" that offered a chance to commit to addressing high-risk polypharmacy at the next visit. One practice received a "justification nudge" that asked for a reason when high-risk polypharmacy was present. One practice received both. KEY RESULTS: Among 55,107 patients 65 and older prescribed 5 or more medications, 6256 (7.9%) had one or more high-risk criteria. During the pilot, the mean (SD) number of nudges per physician per week was 1.7 (0.4) for commitment, 0.8 (0.5) for justification, and 1.9 (0.5) for both interventions. Physicians requested to be reminded to address high-risk polypharmacy for 236/833 (28.3%) of the commitment nudges and acknowledged 441 of 460 (95.9%) of justification nudges, providing a text response for 187 (40.7%). CONCLUSIONS: EHR-based measures and nudges addressing high-risk polypharmacy were feasible to develop and implement, and warrant further testing.

Effect of Peer Benchmarking on Specialist Electronic Consult Performance in a Los Angeles Safety-Net: a Cluster Randomized Trial.

BACKGROUND: Since the advent of COVID-19, accelerated adoption of systems that reduce face-to-face encounters has outpaced training and best practices. Electronic consultations (eConsults), structured communications between PCPs and specialists regarding a case, have been effective in reducing face-to-face specialist encounters. As the health system rapidly adapts to multiple new practices and communication tools, new mechanisms to measure and improve performance in this context are needed. OBJECTIVE: To test whether feedback comparing physicians to top performing peers using co-specialists' ratings improves performance. DESIGN: Cluster-randomized controlled trial PARTICIPANTS: Eighty facility-specialty clusters and 214 clinicians INTERVENTION: Providers in the feedback arms were sent messages that announced their membership in an elite group of "Top Performers" or provided actionable recommendations with feedback for providers that were "Not Top Performers." MAIN MEASURES: The primary outcomes were changes in peer ratings in the following performance dimensions after feedback was received: (1) elicitation of information from primary care practitioners; (2) adherence to institutional clinical guidelines; (3) agreement with peer's medical decision-making; (4) educational value; (5) relationship building. KEY RESULTS: Specialists showed significant improvements on 3 of the 5 consultation performance dimensions: medical decision-making (odds ratio 1.52, 95% confidence interval 1.08-2.14, p<.05), educational value (1.86, 1.17-2.96) and relationship building (1.63, 1.13-2.35) (both p<.01). CONCLUSIONS: The pandemic has shed light on clinicians' commitment to professionalism and service as we rapidly adapt to changing paradigms. Interventions that appeal to professional norms can help improve the efficacy of new systems of practice. We show that specialists' performance can be measured and improved with feedback using aspirational norms. TRIAL REGISTRATION: clinicaltrials.gov NCT03784950.

Getting Value From Electronic Health Records: Research Needed to Improve Practice.

Electronic health records (EHRs) are now widely adopted in the United States, but health systems have barely begun using them to deliver high-value care. More directed and rigorous research is needed to fulfill the promise of EHRs to not only store information but also support the delivery of better care. This article describes 4 potential benefits of EHR-based research: improving clinical decisions, supporting triage decisions, enabling collaboration among the care team (including patients), and increasing productivity via automation of tasks. Six recommendations are made for conducting and reporting research to catalyze value creation: develop interventions systematically by using user-centered design and a building-block approach; assess value in terms of cost, quality, outcomes, and work required of providers and patients; consider the time horizon for the intervention; test best practices for implementation in a range of real-world contexts; assess subtleties of behavior change tools used to improve high-value behaviors; and report the intervention in enough detail that it can be replicated, including context. Just as research played a critical role in developing early EHR prototypes and demonstrating their value to justify dissemination, research will continue to be essential in the next phase: expanding EHR-based interventions and maximizing their role in creating value.

Factors Influencing Physician Practices' Adoption of Behavioral Health Integration in the United States: A Qualitative Study.

BACKGROUND: Behavioral health integration is uncommon among U.S. physician practices despite recent policy changes that may encourage its adoption. OBJECTIVE: To describe factors influencing physician practices' implementation of behavioral health integration. DESIGN: Semistructured interviews with leaders and clinicians from physician practices that adopted behavioral health integration, supplemented by contextual interviews with experts and vendors in behavioral health integration. SETTING: 30 physician practices, sampled for diversity on specialty, size, affiliation with parent organizations, geographic location, and behavioral health integration model (collaborative or co-located). PARTICIPANTS: 47 physician practice leaders and clinicians, 20 experts, and 5 vendors. MEASUREMENTS: Qualitative analysis (cyclical coding) of interview transcripts. RESULTS: Four overarching factors affecting physician practices' implementation of behavioral health integration were identified. First, practices' motivations for integrating behavioral health care included expanding access to behavioral health services, improving other clinicians' abilities to respond to patients' behavioral health needs, and enhancing practice reputation. Second, practices tailored their implementation of behavioral health integration to local resources, financial incentives, and patient populations. Third, barriers to behavioral health integration included cultural differences and incomplete information flow between behavioral and nonbehavioral health clinicians and billing difficulties. Fourth, practices described the advantages and disadvantages of both fee-for-service and alternative payment models, and few reported positive financial returns. LIMITATION: The practice sample was not nationally representative and excluded practices that did not implement or sustain behavioral health integration, potentially limiting generalizability. CONCLUSION: Practices currently using behavioral health integration face cultural, informational, and financial barriers to implementing and sustaining behavioral health integration. Tailored, context-specific technical support to guide practices' implementation and payment models that improve the business case for practices may enhance the dissemination and long-term sustainability of behavioral health integration. PRIMARY FUNDING SOURCE: American Medical Association and The Commonwealth Fund.

Implementation of Medical Homes in Federally Qualified Health Centers.

BACKGROUND: From 2011 through 2014, the Federally Qualified Health Center Advanced Primary Care Practice Demonstration provided care management fees and technical assistance to a nationwide sample of 503 federally qualified health centers to help them achieve the highest (level 3) medical-home recognition by the National Committee for Quality Assurance, a designation that requires the implementation of processes to improve access, continuity, and coordination. METHODS: We examined the achievement of medical-home recognition and used Medicare claims and beneficiary surveys to measure utilization of services, quality of care, patients' experiences, and Medicare expenditures in demonstration sites versus comparison sites. Using difference-in-differences analyses, we compared changes in outcomes in the two groups of sites during a 3-year period. RESULTS: Level 3 medical-home recognition was awarded to 70% of demonstration sites and to 11% of comparison sites. Although the number of visits to federally qualified health centers decreased in the two groups, smaller reductions among demonstration sites than among comparison sites led to a relative increase of 83 visits per 1000 beneficiaries per year at demonstration sites (P<0.001). Similar trends explained the higher performance of demonstration sites with respect to annual eye examinations and nephropathy tests (P<0.001 for both comparisons); there were no significant differences with respect to three other process measures. Demonstration sites had larger increases than comparison sites in emergency department visits (30.3 more per 1000 beneficiaries per year, P<0.001), inpatient admissions (5.7 more per 1000 beneficiaries per year, P=0.02), and Medicare Part B expenditures ($37 more per beneficiary per year, P=0.02). Demonstration-site participation was not associated with relative improvements in most measures of patients' experiences. CONCLUSIONS: Demonstration sites had higher rates of medical-home recognition and smaller decreases in the number of patients' visits to federally qualified health centers than did comparison sites, findings that may reflect better access to primary care relative to comparison sites. Demonstration sites had larger increases in emergency department visits, inpatient admissions, and Medicare Part B expenditures. (Funded by the Centers for Medicare and Medicaid Services.).

Physician-Nurse Practitioner Teamwork in Primary Care Practices in New York: A Cross-Sectional Survey.

BACKGROUND: Primary care practices increasingly rely on the growing workforce of nurse practitioners (NPs) to meet primary care demand. Understanding teamwork between NPs and physicians in primary care practices is critically important. OBJECTIVE: We assessed teamwork between NPs and physicians practicing within the same primary care practice and determined how teamwork affects their job satisfaction, intent to leave their current job, and quality of care. DESIGN: A cross-sectional survey design was used to collect data from both NPs and physicians in New York State in 2017. PARTICIPANTS: 584 participants (398 NPs and 186 physicians) from 476 primary care practices completed the survey yielding a 27% response rate for NPs and 12% for physicians. MAIN MEASURES: The survey tool contained validated measures of teamwork and three outcomes: job satisfaction, intent to leave, and perceived quality of care. Simple and multi-level multivariable regression models were built. KEY RESULTS: Most participants (76%) were either moderately satisfied or very satisfied with their job (NP sample: 75%; physician sample: 77%) and about 10% intended to leave their current job (NP sample: 11%; physician sample: 9%). The average perceived quality of care was the same across NP and physician samples with a mean of 8.5 on a 11 point scale. After controlling for confounders, a higher organizational-level teamwork score was associated with higher job satisfaction (cumulative OR: 3.00; 95% CI: 1.85-4.88), lower odds of intent to leave (OR: 0.25; 95% CI: 0.09-0.74), and higher perceived quality of care (b=1.00; 95% CI: 0.77-1.23). CONCLUSIONS: This study produced evidence about NP-physician teamwork in primary care practices. We found the vast majority of NPs and physicians reported favorable teamwork, and that teamwork affects clinician job satisfaction and intent to leave as well as perceived quality of care in their practices.

Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement.

IMPORTANCE: The extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood. OBJECTIVE: To examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults. DESIGN: Retrospective analysis of overall means and clinician-level variation in performance on three new measures. SUBJECTS: Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017. MEASURES: Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication. RESULTS: Sixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8-54% for the PSA measure, 3-35% for the urinalysis/urine culture measure, and 13-49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively. CONCLUSIONS: Within the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined.

Medicare Beneficiaries With a Specialist as Their Personal Doctor Report Better Experiences With Care.

BACKGROUND: Health plans often require that patients have a personal doctor. Older adults rely on specialists for much of their care and may use a specialist in this role, but little is known about how many or which Medicare beneficiaries use specialists as their personal doctor and how their care experiences differ from others'. OBJECTIVE: To examine the prevalence and characteristics of Medicare beneficiaries with a specialist as a personal doctor and compare their patient experiences and immunization to other beneficiaries'. RESEARCH DESIGN: Logistic regression predicted having a specialist as a personal doctor from beneficiary characteristics. Doubly-robust models compared 7 patient experience and 2 immunization measures for beneficiaries with and without a specialist as their personal doctor. Interactions of a specialist indicator and beneficiary characteristics tested for moderators. STUDY POPULATION: A total of 227,642 Medicare beneficiaries aged 65+ who reported having a personal doctor on the 2014 Medicare CAHPS survey. RESULTS: In total, 20% of beneficiaries reported that their personal doctor was a specialist, fewer than previously reported for the most frequently visited physician (43%); beneficiaries who were older, less healthy, less educated, racial/ethnic minorities, had fee-for-service coverage, or had lower income were more likely to do so. They also reported better patient experiences than those with nonspecialist personal physicians on 6 of 7 measures and more immunizations; the largest difference was for care coordination. Having a specialist personal doctor was associated with particularly positive patient experience for low income, Black, Hispanic, and less healthy beneficiaries. CONCLUSION: Future research should investigate whether specialists as personal doctors may reduce patient-experience disparities for vulnerable patients.

Primary Care Visit Regularity and Patient Outcomes: an Observational Study.

BACKGROUND: Regular primary care visits may allow an opportunity to deliver high-value, proactive care. However, no previous study has examined whether more temporally regular primary care visits predict better outcomes. OBJECTIVE: To examine the relationship between the temporal regularity of primary care (PC) visits and outcomes. DESIGN: Retrospective cohort study. PARTICIPANTS: We used Medicare claims for 378,862 fee-for-service Medicare beneficiaries, who received PC at 1328 federally qualified health centers from 2010 to 2014. MAIN MEASURES: We created five beneficiary groups based upon their annual number of PC visits. We further subdivided those groups according to whether PC visits occurred with more or less regularity than the median value. We compared these 10 subgroups on three outcomes, adjusting for beneficiary characteristics: emergency department (ED) visits, hospitalizations, and total Medicare expenditures. We also aggregated to the clinic level and divided clinics into tertiles of more, less, and similarly regular to predicted. We compared these three groups of clinics on the same three outcomes of care. KEY RESULTS: Within each visit frequency group, beneficiaries in the subgroup with fewer regular visits had more ED visits, more hospitalizations, and higher costs. Among beneficiaries with the most frequent PC visits, the less regular subgroup had more ED visits (1.70 vs. 1.31 per person-year), more hospitalizations (0.69 vs. 0.57), and greater Medicare expenditures ($20,731 vs. $17,430, p < 0.001 for all comparisons). Clinics whose PC visits were more regular than predicted also had better outcomes than other clinics, although the effect sizes were smaller. CONCLUSIONS: Temporal patterns of PC visits are correlated with outcomes, even among beneficiaries who appear otherwise similar. Measuring the temporal regularity of PC visits may be useful for identifying beneficiaries at risk for adverse events, and as a barometer for and an impetus to clinic-level quality improvement.

Dynamic risk prediction for diabetes using biomarker change measurements.

BACKGROUND: Dynamic risk models, which incorporate disease-free survival and repeated measurements over time, might yield more accurate predictions of future health status compared to static models. The objective of this study was to develop and apply a dynamic prediction model to estimate the risk of developing type 2 diabetes mellitus. METHODS: Both a static prediction model and a dynamic landmark model were used to provide predictions of a 2-year horizon time for diabetes-free survival, updated at 1, 2, and 3 years post-baseline i.e., predicting diabetes-free survival to 2 years and predicting diabetes-free survival to 3 years, 4 years, and 5 years post-baseline, given the patient already survived past 1 year, 2 years, and 3 years post-baseline, respectively. Prediction accuracy was evaluated at each time point using robust non-parametric procedures. Data from 2057 participants of the Diabetes Prevention Program (DPP) study (1027 in metformin arm, 1030 in placebo arm) were analyzed. RESULTS: The dynamic landmark model demonstrated good prediction accuracy with area under curve (AUC) estimates ranging from 0.645 to 0.752 and Brier Score estimates ranging from 0.088 to 0.135. Relative to a static risk model, the dynamic landmark model did not significantly differ in terms of AUC but had significantly lower (i.e., better) Brier Score estimates for predictions at 1, 2, and 3 years (e.g. 0.167 versus 0.099; difference - 0.068 95% CI - 0.083 to - 0.053, at 3 years in placebo group) post-baseline. CONCLUSIONS: Dynamic prediction models based on longitudinal, repeated risk factor measurements have the potential to improve the accuracy of future health status predictions.

Estimating Associations Between Medical Home Adoption, Utilization, and Quality: A Comparison of Evaluation Approaches.

BACKGROUND: Methodological differences between evaluations of medical home adoption might complicate readers' ability to draw conclusions across studies. OBJECTIVES: To study whether associations between medical home adoption and patient care are affected by methodological choices. DESIGN, SETTING, AND SUBJECTS: Among 71 practices participating in the Pennsylvania Chronic Care Initiative (a medical home pilot), we estimated cross-sectional and longitudinal associations between 4 definitions of "medical home adoption" [National Committee on Quality Assurance (NCQA) recognition in year 3, Medical Home Index scores at baseline and 3, and within-practice changes in Medical Home Index scores between baseline and year 3] and utilization and quality. MEASUREMENTS: Six utilization and 6 quality measures. RESULTS: In cross-sectional analyses at year 3, NCQA recognition was associated with higher rates of nephropathy monitoring (7.23 percentage points; confidence interval, 0.45-14.02), breast cancer screening (7.48; 2.11-12.86), and colorectal cancer screening (8.43; 2.44-14.42). In longitudinal analyses, NCQA recognition was associated with increases in hospitalization rates (2.75 per 1000 patient-months; 0.52-4.98). In baseline cross-sectional analyses, higher Medical Home Index scores were associated with fewer ambulatory care-sensitive hospitalizations (-0.61 per 1000 patient per month; -1.11 to -0.11), all-cause emergency department visits (-6.80; -12.28 to -1.32), and ambulatory care-sensitive emergency department visits (-5.60; 10.32 to -0.88). There were no statistically significant associations between any other measure of medical home adoption and quality or utilization. CONCLUSIONS: The findings of medical home evaluations are sensitive to methodological choices. Meta-analyses, narrative reviews, and other syntheses of medical home studies should consider subdividing their findings by analytic approach.

Nurse Practitioner Practice Environments in Primary Care and Quality of Care for Chronic Diseases.

BACKGROUND: The chronic disease burden in the United States represents a significant challenge for the primary care system. The nurse practitioner (NP) workforce can help meet the demand for care; however, organizational barriers such as poor practice environments prevent NPs from delivering high quality care. OBJECTIVES: We investigated the relationship between NP practice environments and quality of care for chronic diseases. RESEARCH DESIGN: We fit regression models to assess cross-sectional associations between claims-based quality measure performance and survey data on NP practice environments in Massachusetts. SUBJECTS: We used survey data from 221 primary care NPs from 118 practices. We obtained quality of care data for patients with asthma, diabetes, and cardiovascular disease. MEASURES: The Nurse Practitioner Primary Care Organizational Climate Questionnaire was used to measure practice environments with its following 4 subscales: NP-Physician Relations, Independent Practice and Support, Professional Visibility, and NP-Administration Relations. Three Healthcare Effectiveness Data and Information Set measures were used to evaluate the quality of care. RESULTS: A 1-SD increase in the organizational-level NP-Administration Relations subscale score was associated with a near doubling of the odds of receiving medication management for asthma. A 1-SD increase in the organizational-level Independent Practice and Support subscale score was associated with a 60% increase in the odds of receiving recommended screening for cardiovascular disease. There was no impact on diabetes care measure. CONCLUSIONS: NP practice environment affected the quality of care for 2 chronic conditions. Efforts should be implemented to improve NP practice environment to potentially improve care quality.

Differences in Physician Income by Gender in a Multiregion Survey.

BACKGROUND: Previous studies have documented income differences between male and female physicians. However, the implications of these differences are unclear, since previous studies have lacked detailed data on the quantity and composition of work hours. We sought to identify the sources of these income differences using data from a novel survey of physician work and income. OBJECTIVE: To compare differences in income between male and female physicians. DESIGN: We estimated unadjusted income differences between male and female physicians. We then adjusted these differences for total hours worked, composition of work hours, percent of patient care time spent providing procedures, specialty, compensation type, age, years in practice, race, ethnicity, and state and practice random effects. PARTICIPANTS: We surveyed 656 physicians in 30 practices in six states and received 439 responses (67% response rate): 263 from males and 176 from females. MAIN MEASURE: Self-reported annual income. KEY RESULTS: Male physicians had significantly higher annual incomes than female physicians (mean $297,641 vs. $206,751; difference $90,890, 95% CI $27,769 to $154,011) and worked significantly more total hours (mean 2470 vs. 2074; difference 396, 95% CI 250 to 542) and more patient care hours (mean 2203 vs. 1845; difference 358, 95% CI 212 to 505) per year. Male physicians were less likely than female physicians to specialize in primary care (49.1 vs. 70.5%), but more likely to perform procedures with (33.1 vs. 15.5%) or without general anesthesia (84.3 vs. 73.1%). After adjustment, male physicians' incomes were $27,404 (95% CI $3120 to $51,688) greater than female physicians' incomes. CONCLUSIONS: Adjustment for multiple possible confounders, including the number and composition of work hours, can explain approximately 70% of unadjusted income differences between male and female physicians; 30% remains unexplained. Additional study and dedicated efforts might be necessary to identify and address the causes of these unexplained differences.

The impact of integrating medical assistants and community health workers on diabetes care management in community health centers.

OBJECTIVE: To compare the impact of implementing team-based diabetes care management involving community health workers (CHWs) vs. medical assistants (MA) in community health centers (CHCs) on diabetes care processes, intermediate outcomes, and patients' experiences of chronic care. DATA SOURCES: Clinical and administrative data (n = 6111) and patient surveys (n = 698) pre-intervention and post-intervention. Surveys (n = 285) and key informant interviews (n = 48) of CHC staff assessed barriers and facilitators of implementation. STUDY DESIGN: A three-arm cluster-randomized trial of CHC sites integrating MAs (n = 3) or CHWs (n = 3) for diabetes care management compared control CHC sites (n = 10). Difference-in-difference multivariate regression with exact matching of patients estimated intervention effects. PRINCIPAL FINDINGS: Patients in the CHW intervention arm had improved annual glycated hemoglobin testing (18.5%, p < 0.001), while patients in the MA intervention arm had improved low-density lipoprotein cholesterol control (8.4%, p < 0.05) and reported better chronic care experiences over time (ß=7.5, p < 0.001). Except for chronic care experiences (p < 0.05) for patients in the MA intervention group, difference-in-difference estimates were not statistically significant because control group patients also improved over time. Some diabetes care processes improved significantly more for control group patients than intervention group patients. Key informant interviews revealed that immediate patient care issues sometimes crowded out diabetes care management activities, especially for MAs. CONCLUSIONS: Diabetes care improved in CHCs integrating CHWs and MAs onto primary care teams, but the improvements were no different than improvements observed among matched control group patients. Greater improvement using CHW and MA team-based approaches may be possible if practice leaders minimize use of these personnel to cover shortages that often arise in busy primary care practices.

Utilization of health care services among Medicare beneficiaries who visit federally qualified health centers.

BACKGROUND: Previous studies have disagreed on whether patients who receive primary care from federally qualified health centers (FQHCs) have different utilization patterns than patients who receive care elsewhere. Our objective was to compare patterns of healthcare utilization between Medicare beneficiaries who received primary care from FQHCs and Medicare beneficiaries who received primary care from another source. METHODS: We compared characteristics and ambulatory, emergency department (ED), and inpatient utilization during 2013 between 130,637 Medicare beneficiaries who visited an FQHC for the majority of their primary care in 2013 (FQHC users) and a random sample of 1,000,000 Medicare fee-for-service (FFS) beneficiaries who did not visit an FQHC (FQHC non-users). We then created a propensity-matched sample of 130,569 FQHC users and 130,569 FQHC non-users to account for differences in observable patient characteristics between the two groups and repeated all comparisons. RESULTS: Before matching, the two samples differed in terms of age (42% below age 65 for FQHC users vs. 16% among FQHC non-users, p < 0.001 for all comparisons), disability (52% vs. 24%), eligibility for Medicaid (56% vs. 21%), severe mental health disorders (17% vs. 10%), and substance abuse disorders (6% vs. 3%). FQHC users had fewer ambulatory visits to primary care or specialist providers (10.0 vs. 12.0 per year), more ED visits (1.2 vs. 0.8), and fewer hospitalizations (0.3 vs. 0.4). In the matched sample, FQHC users still had slightly lower utilization of ambulatory visits to primary care or specialist providers (10.0 vs. 11.2) and slightly higher utilization of ED visits (1.2 vs. 1.0), compared to FQHC users. Hospitalization rates between the two groups were similar (0.3 vs. 0.3). CONCLUSIONS: In this population of Medicare FFS beneficiaries, FQHC users had slightly lower utilization of ambulatory visits and slightly higher utilization of ED visits, compared to FQHC non-users, after accounting for differences in case mix. This study suggests that FQHC care and non-FQHC care are associated with broadly similar levels of healthcare utilization among Medicare FFS beneficiaries.

Linking Structural Capabilities and Workplace Climate in Community Health Centers.

Many strategies to improve health care quality focus on improving the structural capabilities of primary care practices, including quality infrastructure and registry use, which are critical to managing chronic diseases. However, improving structural capabilities requires practices to expend significant resources and can be especially disruptive to community health centers (CHCs) serving high proportions of socioeconomically vulnerable patients. We explore the relationship between the structural capabilities and workplace climate in CHCs. The final sample for this analysis includes 25 CHC sites that could be matched across CHC site director surveys of structural capabilities and CHC adult primary care clinicians and staff (n = 446). To estimate the association between structural capabilities and dimensions of workplace climate, we estimated multivariate linear regression models that included the climate scales as dependent variables and the 5 structural capability scales as the main independent variables, with the 3 clinic-level and 2 staff-level covariates. More manageable clinic workload was associated with lower electronic record functionality (ß = -0.47, P = .007), but positively associated with quality infrastructure (ß = 0.92, P = .007). Staff relationships and quality improvement orientation were positively associated with quality infrastructure (ß = 1.09, P = .006 and ß = 0.87, P = .005). Manager readiness was associated with more robust quality infrastructure (ß = 1.35, P = .016), but lower electronic record functionality (ß = -0.48, P = .015) and less proactive patient outreach (ß = -1.32, P = .025). Complex relationships between structural capabilities and workplace climate were found in CHCs. Further clarification of these complex connections may enable policy makers and practitioners to design and implement nuanced strategies to improve quality of care in CHCs.