Disparities in Diabetes Care: Differences Between Rural and Urban Patients Within a Large Health System.

PURPOSE: We sought to ascertain factors associated with the quality of diabetes care, comparing rural vs urban diabetic patients in a large health care system. METHODS: We conducted a retrospective cohort study assessing patients' attainment of the D5 metric, a diabetes care metric having 5 components (no tobacco use, glycated hemoglobin [A1c] level less than 8%, blood pressure less than 140/90 mm Hg, low-density lipoprotein cholesterol level at goal or statin prescribed, and aspirin use consistent with clinical recommendations). Covariates included age, sex, race, adjusted clinical group (ACG) score as a marker of complexity, insurance type, primary care clinician type, and health care use data. RESULTS: The study cohort consisted of 45,279 patients with diabetes, 54.4% of whom resided in rural locations. The D5 composite metric was met in 39.9% of rural patients and 43.2% of urban patients (P <.001). Rural patients were significantly less likely to have attained all metric goals than urban counterparts (adjusted odds ratio [AOR] = 0.93; 95% CI, 0.88-0.97). The rural group had fewer outpatient visits (mean number of visits = 3.2 vs 3.9, P <.001) and less often had an endocrinology visit (5.5% vs 9.3%, P <.001) during the 1-year study period. Patients with an endocrinology visit were less likely to have met the D5 metric (AOR = 0.80; 95% CI, 0.73-0.86), whereas the more outpatient visits patients had, the greater their likelihood of attainment (AOR per visit = 1.03; 95% CI, 1.03-1.04). CONCLUSIONS: Rural patients had worse diabetes quality outcomes than their urban counterparts, even after adjustment for other contributing factors and despite being part of the same integrated health system. Lower visit frequency and less specialty involvement in the rural setting are possible contributing factors.

Using medication containers during pharmacist transitional care visits and impact on medication discrepancies identified and hospital readmission risk.

OBJECTIVE: To evaluate the impact of having patients present to a pharmacist-clinician collaborative (PCC) visit after hospital discharge with their medication containers on risk of 30-day readmission. METHODS: This is a retrospective cohort study from July 1, 2013 to June 18, 2018 at 5 primary care clinic sites. We included adult patients on at least 10 total medications at hospital discharge who did and did not present to the PCC visit with medication containers. Patients in both groups met with a pharmacist for 30 minutes, immediately followed by a clinician visit. Thirty-day risk of readmission was assessed using Cox proportional hazards regression. RESULTS: A total of 724 qualifying patients presented for a PCC visit with their medication containers within 30 days of hospital discharge, whereas 636 did not. After adjusting for significant differences in baseline characteristics, there was no statistically significant difference in hospital readmission risk between the groups at 30 days after the visit (hazard ratio 0.94 [95% CI 0.68-1.29], P = 0.69). When patients brought their medication containers, pharmacists identified more medication discrepancies (mean ± SD, 2.2 ± 2.1 vs. 1.5 ± 1.7, P < 0.001) and made more medication therapy recommendations (1.8 ± 1.3 vs. 1.5 ± 1.2, P < 0.001) to the clinician. CONCLUSION: The presence of medication containers did not affect the risk of hospital readmission, although, it did allow pharmacists to identify more medication discrepancies and medication problems. These findings support instructing patients to bring their medication containers to transitional care visits to resolve medication-related issues.

Impact of rural address and distance from clinic on depression outcomes within a primary care medical home practice.

BACKGROUND: Depression is the second leading cause of death among young adults and a major cause of disability worldwide. Some studies suggest a disparity between rural and urban outcomes for depression. Collaborative Care Management (CCM) is effective in improving recovery from depression, but its effect within rural and urban populations has not been studied. METHODS: A retrospective cohort study of 3870 patients diagnosed with depression in a multi-site primary care practice that provided optional, free CCM was conducted. US Census data classified patients as living in an Urban Area, Urban Cluster, or Rural area and the distance they resided from their primary care clinic was calculated. Baseline demographics, clinical data, and standardized psychiatric assessments were collected. Six month Patient Health Questionnaire (PHQ 9) scores were used to judge remission (PHQ9 < 5) or Persistent Depressive Symptoms (PDS) (PHQ9 ≥ 10) in a multivariate model with interaction terms. RESULTS: Rural patients had improved adjusted odds of remission (AOR = 2.8) and PDS (AOR = 0.36) compared to urban area patients. The natural logarithm transformed distance to primary care clinic was significant for rural patients resulting in a lower odds of remission and increased odds of PDS with increasing distance from clinic. The marginal probability of remission or PDS for rural patients equaled that of urban area patients at a distance of 34 or 40 km respectively. Distance did not have an effect for urban cluster or urban area patients nor did distance interact with CCM. CONCLUSION: Residing in a rural area had a beneficial effect on the recovery from depression. However this effect declined with increasing distance from the primary care clinic perhaps related to greater social isolation or difficulty accessing care. This distance effect was not seen for urban area or urban cluster patients. CCM was universally beneficial and did not interact with distance.

Increased adherence to prenatal group B streptococcal screening guidelines through a paired electronic reminder and education intervention.

The 2010 Centers for Disease Control and Prevention (CDC) update on perinatal group B streptococcal (GBS) prevention advises universal vaginal-rectal GBS screening of pregnant women in the 35th through 37th week of gestation. Because GBS colonization is transient, a test performed more than 5 weeks before delivery may not have sufficient negative predictive value to be clinically useful. Our objective was to increase rates of quality-improved, CDC-adherent GBS screening and decrease repeat screening. A reminder for maternal vaginal-rectal GBS testing was added to the physicians' electronic ordering screen, and family medicine physicians and residents were educated about screening guidelines through standardized, in-person presentations. Retrospective chart review was performed before and after these interventions. Univariate or bivariate analysis was performed for demographic factors, timing of first screen, rates of CDC-adherent screening (the newly defined quality-improved screen and the usual screen), and rates of repeat and unnecessary screens. Multivariate analysis was performed with quality-improved and usual screening as dependent variables. Bivariate analysis showed that post-intervention rates of quality-improved screening increased from 30 to 62 % (P < .001), usual screening increased from 69 to 84 % (P = .005), and repeat GBS screening decreased from 20 to 8 % (P = .007). Multivariate analysis showed increased post-intervention odds of quality-improved screening [odds ratio (OR) 3.59; 95 % CI 2.07-6.34] and usual screening (OR 2.67; 95 % CI 1.40-5.25). Low-cost, reproducible quality improvement interventions (electronic order reminder, educational sessions) have the potential to increase guideline adherence for GBS screening in pregnant women and decrease repeat screening.

Continuity of Care: A Primer for Family Medicine Residencies.

Continuity of care has been an identifying characteristic of family medicine since its inception and is an essential ingredient for high-functioning health care teams. Many benefits, including the quadruple aim of enhancing patient experience, improving population health, reducing costs, and improving care team well-being, are ascribed to continuity of care. In 2023, the Accreditation Council for Graduate Medical Education (ACGME) added two new continuity requirements-annual patient-sided continuity and annual resident-sided continuity-in family medicine training programs. This article reviews continuity of care as it applies to family medicine training programs. We discuss the various types of continuity and issues surrounding the measurement of continuity. A generally agreed upon definition of patient-sided and resident-sided continuity is presented to allow programs to begin to collect the necessary data. Especially within resident training programs, intricacies associated with maintaining continuity of care, such as empanelment, resident turnover, and scheduling, are discussed. The importance of right-sizing resident panels is highlighted, and a mechanism for accomplishing this is presented. The recent ACGME requirements represent a cultural shift from measuring resident experience based on volume to measuring resident continuity. This cultural shift forces family medicine training programs to adapt their various systems, policies, and procedures to emphasize continuity. We hope this manuscript's review of several facets of contuinuity, some unique to training programs, helps programs ensure compliance with the ACGME requirements.

Self-scheduling Medical Visits in a Multispecialty, Multisite Medical Practice: Complexity, Challenges, and Successes.

Background: Self-scheduling of medical visits is becoming more common but the complexity of applying multiple requirements for self-scheduling has hampered implementation. Mayo Clinic implemented self-scheduling in 2019 and has been increasing its portfolio of self-schedulable visits since then. Our aim was to show measures quantifying the complexity associated with medical visit scheduling and to describe how opportunities and challenges of scheduling complexity apply in self-scheduling. Methods: We examined scheduled visits from January 1, 2022, through August 24, 2023. For seven visit categories, we counted all unique visit types that were scheduled, for both staff-scheduled and self-scheduled. We examined counts of self-scheduled visit types to identify those with highest uptake during the study period. Results: There were 9555 unique visit types associated with 20.8 M (million) completed visits. Self-scheduled visit types accounted for 4.0% (838,592/20,769,699) of the completed total visits. Of seven visit categories, self-scheduled established patient visits, testing visits, and procedure visits accounted for 93.5% (784,375/838,592) of all self-scheduled visits. Established patient visits in primary care (10 visit types) accounted for 273,007 (32.6%) of all self-scheduled visits. Testing visits (blood and urine testing, 2 visit types) accounted for 183,870 (21.9%) of all self-scheduled visits. Procedure visits for screening mammograms, bone mineral density, and immunizations (8 visit types) accounted for 147,358 (17.6%) of all self-scheduled visits. Conclusion: Large numbers of unique visit types comprise a major challenge for self-scheduling. Some visit types are more suitable for self-scheduling. Guideline-based procedure visits such as screening mammograms, bone mineral density exams, and immunizations are examples of visits that have high volumes and can be standardized for self-scheduling. Established patient visits and laboratory testing visits also can be standardized for self-scheduling. Despite the successes, there remain thousands of specific visit types that may need some staff-scheduler intervention to properly schedule.

Self-scheduling in a Large Multispecialty and Multisite Clinic: A Retrospective, Longitudinal Examination of Multiple Self-Scheduled Visit Types.

Background: Self-scheduling of medical visits is becoming available at many medical institutions. We aimed to examine the self-scheduled visit counts and rate of growth of self-scheduled visits in a multispecialty practice. Methods: For 85 weeks extending from January 1, 2022 through August 24, 2023, we examined self-scheduled visit counts for over 1500 self-scheduled visit types. We compared completed self-scheduled visit counts to all scheduled completed visit counts for the same visit types. We collected counts of the most frequently self-scheduled visit types for each week and examined the change over time. We also determined the proportion that each visit type was self-scheduled. Results: There were 20,769 699 completed visits during the course of the study that met the criteria for inclusion. Self-scheduled visits accounted for 4.0% of all completed visits (838 592/20,769 699). Over the 85-week span, self-scheduled visits rose from 3.0% to 5.3% of the total. There were 1887 unique visit types that were associated with completed visits. There were just 6 appointment visit types of the total 1887 self-scheduled visit types that accounted for 50.7% of the total 838 592 self-scheduled visits. Those 6 visit types were a lab blood test visit (19.5%, 163 K visits), two Family Medicine office visit types (13.0%, 109 K visits), a screening mammogram visit type (6.6%, 55 K visits), a scheduled express care visit type (6%, 50 K visits) and a COVID immunization visit type (5.7%, 48 K visits). Twenty-one visit types that were self-scheduled accounted for 75% of the total self-scheduled visits. Four seasonal visits, accounting for 10.6% of the total self-scheduled visits, were responsible for almost all the non-linear change in self-scheduling. Conclusion: Self-scheduling accounted for a small but growing percent of all outpatient scheduled visits in a multispecialty, multisite practice. A wide range of visit types can be successfully self-scheduled.

Screening for hypertension annually compared with current practice.

PURPOSE: Hypertension is the most common diagnosis in ambulatory care, yet little evidence exists regarding recommended screening intervals or the sensitivity and specificity of a routine office-based blood pressure measurement, the most common screening test. Screening for hypertension is usually performed by measuring blood pressure at every outpatient visit, which often results in transiently elevated findings among adults who do not have a diagnosis of hypertension. We hypothesize that a more limited annual screening strategy may increase specificity while maintaining sensitivity. METHODS: A retrospective case-control study of 372 adults without hypertension and 68 patients with newly diagnosed hypertension was conducted to compare the usual screening practice of checking blood pressure at every visit with a second strategy that considered only annual blood pressure measurements. RESULTS: Specificity improved from 70.4% (95% CI, 65.5%-75.0%) for the usual practice to 82.0% (95% CI, 77.7%-85.8%) for the annual screening strategy. No statistically significant difference in sensitivity existed between the 2 methods. CONCLUSION: A limited annual screening strategy for hypertension can improve specificity without sacrificing sensitivity when compared with routine screening at every visit in previously normotensive adults.

Hospitalization Risk Associated With Emergency Department Reasons for Visit and Patient Age: A Retrospective Evaluation of National Emergency Department Survey Data to Help Identify Potentially Avoidable Emergency Department Visits.

Background: Patients often present to emergency departments (EDs) with concerns that do not require emergency care. Self-triage and other interventions may help some patients decide whether they should be seen in the ED. Symptoms associated with low risk of hospitalization can be identified in national ED data and can inform the design of interventions to reduce avoidable ED visits. Methods: We used the National Hospital Ambulatory Medical Care Survey (NHAMCS) data from the United States National Health Care Statistics (NHCS) division of the Centers for Disease Control and Prevention (CDC). The ED datasets from 2011 through 2020 were combined. Primary reasons for ED visit and the binary field for hospital admission from the ED were used to estimate the proportion of ED patients admitted to the hospital for each reason for visit and age category. Results: There were 221,027 surveyed ED visits during the 10-year data collection with 736 different primary reasons for visit and 23,228 hospitalizations. There were 145 million estimated hospitalizations from 1.37 billion estimated ED visits (10.6%). Inclusion criteria for this study were reasons for visit which had at least 30 ED visits in the sample; there were 396 separate reasons for visit which met this criteria. Of these 396 reasons for visit, 97 had admission percentages less than 2% and another 52 had hospital admissions estimated between 2% and 4%. However, there was a significant increase in hospitalizations within many of the ED reasons for visit in older adults. Conclusion: Reasons for visit from national ED data can be ranked by hospitalization risk. Low-risk symptoms may help healthcare institutions identify potentially avoidable ED visits. Healthcare systems can use this information to help manage potentially avoidable ED visits with interventions designed to apply to their patient population and healthcare access.

Association of Early and Late Hospital Readmissions with a Novel Housing-Based Socioeconomic Measure.

Background: While socioeconomic status has been linked to hospital readmissions for several conditions, reliable measures of individual socioeconomic status are often not available. HOUSES, a new measure of individual socioeconomic status based upon objective public data about one's housing unit, is inversely associated with overall hospitalization rate but it has not been studied with respect to readmissions. Purpose: To determine if patients in the lowest HOUSES quartile are more likely to be readmitted within 30 days (short-term) and 180 days (long-term). Methods: A retrospective cohort study of 11 993 patients having 21 633 admissions was conducted using generalized linear mixed-effects models. Results: HOUSES quartile did not show any significant association with early readmission. However, when compared to the lowest HOUSES quartile, the second quartile (OR = 0.90, 95%CI 0.83-0.98) and the third quartile (OR = 0.91, 95%CI 0.83-0.99) were associated with lower odds of late readmission while the highest quartile (OR = 0.91, 95%CI 0.82-1.01) was not statistically different. Conclusion: HOUSES was associated with late readmission, but not early readmission. This may be because early readmissions are influenced by medical conditions and hospital care while late readmissions are influenced by ambulatory care and home-based factors. Since HOUSES relies on public county assessor data, it is generally available and may be used to focus interventions on those at highest risk for late readmission.

Association of a housing based individual socioeconomic status measure with diabetic control in primary care practices.

AIMS: Socioeconomic status (SES) is an important variable that impacts healthcare outcomes. However, grouped SES data is not always representative of all members and it is difficult to obtain individual level data. A validated individual housing-based measure termed HOUSES is available, but has not been studied in diabetes. We hypothesize that patients in the lowest HOUSES quartile are associated with worse diabetic control as measured by the D5. METHODS: A retrospective cohort study of 5463 patients with diabetes in 5 patient centered medical home practices in southeast Minnesota was conducted. HOUSES is a validated, standardized housing-based SES measure constructed from publicly available county assessor's office data. Diabetic control was assessed by the D5 (HgbA1c < 8, BP < 140/90, statin use, nonsmoking status, and antiplatelet therapy). RESULTS: In the lowest HOUSES quartile, more patients had an uncontrolled D5 (56.4%) than any of the other quartiles (49.2%, 49.8%, 49.6% respectively, p < 0.001). A multivariate analysis shows the adjusted odds of D5 control for patients in the 2nd, 3rd or 4th HOUSES quartiles as opposed to the 1st quartile are 1.28, 1.21, and 1.20, respectively. CONCLUSION: Lower SES as represented by the first quartile of HOUSES index, is associated with lower odds of D5 control and thus worse diabetic outcomes. Using the HOUSES index to identify these individuals in a patient centered medical home might prove useful in deciding where to focus diabetic control efforts.

The effect of primary care clinician type and care team characteristics on health care costs.

OBJECTIVE: To evaluate health care costs as a function of assigned primary care clinician type and care team characteristics. METHODS: Administrative data were collected for 68 family medicine clinicians (40 physicians and 28 nurse practitioners [NPs]/physician assistant [PAs]), on 11 care teams (variable MD, NP and PA on teams), caring for 77,141 patients. We performed a generalized linear mixed multivariable regression model of standardized per member per month (PMPM) median cost as the outcome, with four practice sites included as random effects. RESULTS: In bivariate analysis, cost was higher in physicians than NP/PAs, in more complex patients, and associated with emergency department (ED) visit rate. On multivariate analysis, patient complexity, ED visit rate and higher patient experience ratings were independently associated with greater PMPM cost. More time in practice was associated with lower PMPM cost. In the adjusted multivariate model, physicians had 8.3% lower median PMPM costs than NP/PAs (p = 0.046). CONCLUSIONS: The primary drivers of greater PMPM cost were patient complexity, ED visits and patient satisfaction.

Athletic disruptions caused by the COVID-19 pandemic negatively affect high school student-athletes social-emotional well-being.

To examine whether high school student-athletes who experienced more COVID-19 disruptions had increased anxiety, increased dejection, increased anger, decreased excitement, and decreased happiness as measured by the validated Sports Emotion Questionnaire (SEQ). During the COVID-19 pandemic high school student-athletes faced disruptions which resulted in cancelation of competitions, reduced in-person training sessions, and quarantine of athletes. The impact of these disruptions on the mental health and well-being of student-athletes is unknown. An anonymous cross-sectional online survey was electronically distributed to high school student-athletes in one school district during the spring of the 2020 to 21 academic year. Basic demographic questions, sport information, and personal and team disruptions were collected. Multivariate linear regression was used to assess correlation between each emotional domain on the SEQ with independent variables such as personal or teammate quarantines, cancelations, season, sport gender, indoor or outdoor location, and level of competition. 125 surveys were returned representing 28 different sports. Student-athletes who were personally quarantined (22.4%) during their athletic season experienced greater dejection (ß = 0.78, P = .003) and greater anger (ß = 0.78, P = .005). Those with teammates quarantined (61.6%) experienced more anxiety (ß = 0.30, P = .048). Spring sports, which faced fewer restrictions, were associated with less anger (ß = -0.48, P = .048). Student-athletes who were directly affected by COVID-19 disruptions experienced increased anxiety, more dejection, and more anger. Public health authorities and school districts should minimize disruptions to athletic participation using established COVID-19 safety protocols to avoid causing harm to athletes' social-emotional well-being. If athletics must be disrupted, student-athletes should receive wellness support and virtual or remote training options.

Rapid Independent Health Literacy Assessment: A Pilot Study Among Native English-speaking and Low English Proficiency Patients.

OBJECTIVES: Health literacy is an individual's capacity to obtain, process, and understand basic health information needed to make appropriate health decisions. Failure to understand and correctly execute a plan of care often leads to poor health outcomes. Determining patient health literacy allows health care providers to tailor their plan of care instructions, increasing the probability of understanding, and adherence. Several validated health literacy tests have been developed to assess the health literacy of individuals and ethnic groups. However, because a proctor is required to administer these tests, their usefulness in clinical settings is limited. The issue of health literacy is especially relevant within minority groups. This research focused on producing a translatable assessment that can be administered quickly without a proctor. METHODS: We developed a 15-question instrument (the RIHLA) in English using the Delphi method with a panel of bilingual experts and translated it into Spanish. Internal reliability was assessed using Cronbach's alpha for 3 groups: Native English-speaking College students (NESC), Native English-speaking patients (NES), and Limited English Proficient Spanish-speaking patients (LEP). External validity was assessed using Pearson's correlation coefficient to compare our instrument to a previously validated, proctored instrument measuring health literacy (the SAHL-E). RESULTS: Four hundred fifteen subjects completed the RIHLA. Of these, 192 (46.3%) were NESC, 208 (50.1%) were NES, and 15 (3.6%) were LEP. The mean number of correct answers was 11.2, 11.6, and 8.3 respectively with the LEP group scoring lower (P < .01). Cronbach's alpha was >.70 for each group. Moderate correlation between the RIHLA and the previously validated instrument was present (P < .01) with Pearson's r = .47 (95% CI: 0.18-0.69). CONCLUSION: The RIHLA is a non-proctored assessment tool that may provide a measure of patients' health literacy in multiple languages. Further studies with larger sample sizes are necessary to confirm the reliability, validity, and generalizability to a wider population.

A Case of Anaplasmosis during a Warm Minnesota Fall.

A healthy 33 year old male presented in December with a 3 week history of fever and fatigue. He had been deer-hunting in northern Minnesota 1 month prior and had sustained a tick bite. Extensive laboratory investigations and a lumbar puncture were conducted. He was empirically with doxycycline and had rapid improvement in his symptoms. Subsequently, PCR and serologic testing returned positive for Anaplasma phagocytophlium. Anaplasmosis is a tick-borne illness caused by the bacterium Anaplasma phagocytophilum and is typically seen in the warmer months. This patient's presentation in December was uncommon for a tick-borne illness in Minnesota. Regional weather records demonstrated unseasonably warm temperatures during the patient's trip. Ixodes ticks are known to be sensitive to temperature and humidity, which likely contributed to increased tick activity, leading to disease transmission. This case highlights the importance for clinicians to be aware of local weather patterns and how this might influence seasonal disease presentations.

Impact of socioeconomic status on depression clinical outcomes at six months in a Midwestern, United States community.

INTRODUCTION: Lower socioeconomic status (SES) has been associated with poor healthcare outcomes in depression. However, reliable individual-level SES data rarely exists for clinical research. The HOUSES index relies on publicly available data allowing for evaluation of individual-level SES on patient outcomes. HYPOTHESIS: Primary care patients with depression within the lower SES quartile (Quartile 1 vs. Quartile 4, of the HOUSES index) would experience worse clinical outcomes of their symptoms six months after diagnosis. STUDY DESIGN: A retrospective cohort study which followed 4313 adult primary care patients that were diagnosed with depression during the study period of 2008-2015. The outcome measures were the six month PHQ-9 scores. RESULTS: At six months, a higher HOUSES quartile was associated with greater odds of remission of depressive symptoms (RDS) and lower odds of persistent depressive symptoms (PDS), after controlling for covariates. Patients in Quartile 4 had 27% more likelihood of RDS and a 24% lower likelihood of PDS at six months compared to a Quartile 1 patient. LIMITATIONS: As a retrospective study only can observe associations but not causation. Only one institution participated and not all treatments were readily available, limiting the generalizability of these findings. CONCLUSIONS: Lower SES as demonstrated by a lower HOUSES quartile (Quartile 1 versus 4) was associated with lower odds of RDS and increased odds of PDS at six months. HOUSES index is a useful tool for identifying patients at risk for worse clinical outcomes and may help health care systems plan resource allocation for depression care.

Clinician Care Team Composition and Health Care Utilization.

OBJECTIVE: To test the hypothesis that a greater proportion of physician time on primary care teams are associated with decreased emergency department (ED) visits, hospital admissions, and readmissions, and to determine clinician and care team characteristics associated with greater utilization. PATIENTS AND METHODS: We retrospectively analyzed administrative data collected from January 1 to December 31, 2017, of 420 family medicine clinicians (253 physicians, 167 nurse practitioners/physician assistants [NP/PAs]) with patient panels in an integrated health system in 59 Midwestern communities serving rural and urban areas in Minnesota, Wisconsin, and Iowa. These clinicians cared for 419,581 patients through 110 care teams, with varying numbers of physicians and NP/PAs. Primary outcome measures were rates of ED visits, hospitalizations, and readmissions. RESULTS: The proportion of physician full-time equivalents on the team was unrelated to rates of ED visits (rate ratio [RR] = 0.826; 95% confidence interval [CI], 0.624 to 1.063), hospitalizations (RR = 0.894; 95% CI, 0.746 to 1.072), or readmissions (RR = -0.026; 95% CI, 0.364 to 0.312). In separate multivariable models adjusted for clinician and practice-level characteristics, the rate of ED visits was positively associated with mean panel hierarchical condition category (HCC) score, urban vs rural setting, NP/PA vs physician, and lower years in practice. The rate of inpatient admissions was associated with HCC score, and 30-day hospital readmissions were positively associated with HCC score, lower years in practice, and male clinicians. CONCLUSION: Care team physician and NP/PA composition was not independently related to utilization. More complex panels had higher rates of ED visits, hospitalization, and readmissions. Statistically significant differences between physician and NP/PA panels were only evident for ED visits.

Relationship of Clinician Care Team Composition and Diabetes Quality Outcomes.

The objective was to determine if a greater proportion of physician full-time equivalent (FTE%) relative to nurse practitioners/physician assistants (NPs/PAs) on care teams was associated with improved individual clinician diabetes quality outcomes. The authors conducted a retrospective cross-sectional study of 420 family medicine clinicians in 110 care teams in a Midwest health system, using administrative data from January 1, 2017 to December 31, 2017. Poisson regression was used to examine the relationship between physician FTE% and the number of patients meeting 5 criteria included in a composite metric for diabetes management (D5). Covariates included panel size, clinician type, sex, years in practice, region, patient satisfaction, care team size, rural location, and panel complexity. Of the 420 clinicians, 167 (40%) were NP/PA staff and 253 (60%) were physicians. D5 criteria were achieved in 37.9% of NP/PA panels compared with 44.5% of physician panels (P < .001). In adjusted analysis, rate of patients achieving D5 was unrelated to physician FTE% on the care team (P = .78). Physicians had a 1.082 (95% confidence interval 1.007-1.164) times greater rate of patients with diabetes achieving D5 than NPs/PAs. Clinicians at rural locations had a .904 (.852-.959) times lower rate of achieving D5 than those at urban locations. Physicians had a greater rate of patients achieving D5 compared with NPs/PAs, but physician FTE% on the care team was unrelated to D5 outcomes. This suggests that clinician team composition matters less than team roles and the dynamics of collaborative care between members.

Impact of collaborative clinician visits on postdischarge total cost of care in a polypharmacy population.

PURPOSE: To evaluate the impact of a collaborative intervention by pharmacists and primary care clinicians on total cost of care, including costs of inpatient readmissions, emergency department visits, and outpatient care, at 30, 60, and 180 days after hospital discharge in a population of patients at high risk for readmission due to polypharmacy. METHODS: A retrospective study of cost outcomes in a cohort of adult patients discharged from a single institution from July 1, 2013 to March 25, 2016, was conducted. All patients had at least 10 medications listed on their discharge list, including at least 1 drug frequently associated with adverse events leading to hospital readmission. About half of the cohort (n = 496) attended a postdischarge visit involving both a pharmacist and a primary care clinician (a physician, physician assistant, or licensed nurse practitioner); this was designated the pharmacist/clinician collaborative (PCC) group. The remainder of the cohort (n = 500) attended a visit without pharmacist involvement; this was designated as the usual care (UC) group. Costs were compared using a quantile regression to assess the potential heterogeneous impacts of the PCC intervention across different parts of the cost distribution. All outcomes were adjusted for differences in baseline characteristics. RESULTS: At 30 days post index discharge, there was a significant decrease in total costs in the 10th and 90th cost quantiles in the PCC cohort vs the UC cohort, without a statistically significant decrease in the 25th, 50th or 75th quantiles. The difference was significant in the 75th and 90th quantiles at 60 days and in the 25th, 50th, and 75th quantiles at 180 days. There was a nonsignificant cost reduction in all other quantiles. CONCLUSION: Medically complex patients had a significantly lower total cost of care in approximately half of the adjusted cost quantiles at 30, 60, and 180 days after hospital discharge when they had a PCC visit. PCC visits can improve patient clinical outcomes while improving cost metrics.

The Association of Direct Observation of Medical Students With Patient-Centered Care for Obesity.

BACKGROUND AND OBJECTIVES: Teaching medical students patient-centered approaches to weight loss counseling occurs in myriad ways. We examined lectures and direct faculty observation to see which was associated with better patient-centered care in medical students, measured by both self-perception and independent observer evaluation. METHODS: Third- and fourth-year students attending one medical school were surveyed regarding their education in (1) weight loss and health behavior counseling, (2) obesity stigma, and (3) whether they had experienced direct faculty observation of their weight loss counseling. Several weeks later, the students were observed during a standardized patient encounter for obesity and an obesity-relevant comorbidity. A postencounter survey assessed overall student satisfaction with the encounter and with the care they provided. Independent coders rated their patient-centered communication using a validated measure. RESULTS: There was no consistent association between any dependent variable and student ratings of adequacy of instruction, nor with instructional content. Direct faculty observation was not associated with overall encounter satisfaction or their overall patient-centeredness. However, experiences with direct faculty observation were significantly and positively associated with students' perceptions of patient engagement (b=0.1, P=.05), and with independent coders' ratings of student friendliness (b=0.13, P=.01), responsiveness (b=0.113, P=.03), and lower student anxiety (b=-0.1, P=.01). CONCLUSIONS: Independent observation and self-report of instruction adequacy and content had no consistent association with care quality. However, direct faculty observation predicted improvement in both student self-reports and independent observer ratings of students' interpersonal quality of care. Further work is needed to define optimal methods of imparting patient-centered care.