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Background: Community health centers grapple with high no-show rates, posing challenges to patient access and primary care provider (PCP) utilization., Aim: To address these challenges, we implemented a virtual waiting room (VWR) program in April 2023 to enhance patient access and boost PCP utilization., Setting: Academic community health center in a small urban city in Massachusetts., Participants: Community health patients (n = 8706) and PCP (n = 14)., Program Description: The VWR program, initiated in April 2023, involved nurse triage of same-day visit requests for telehealth appropriateness, then placing patients in a standby pool to fill in as a telehealth visit for no-shows or last-minute cancellations in PCP schedules., Program Evaluation: Post-implementation, clinic utilization rates between July and September improved from 75.2% in 2022 to 81.2% in 2023 (p < 0.01). PCP feedback was universally positive. Patients experienced a mean wait time of 1.9 h, offering a timely and convenient alternative to urgent care or the ER., Discussion: The VWR is aligned with the quadruple aim of improving patient experience, population health, cost-effectiveness, and PCP satisfaction through improving same-day access and improving PCP schedule utilization. This innovative and reproducible approach in outpatient offices utilizing telehealth holds the potential for enhancing timely access across various medical disciplines., (© 2024. The Author(s), under exclusive licence to Society of General Internal Medicine.)

Background: Timely primary care follow-up after acute care discharge may improve outcomes., Objective: To evaluate whether post-discharge follow-up rates differ among patients discharged from hospitals directly affiliated with their primary care clinic (same-site), other hospitals within their health system (same-system), and hospitals outside their health system (outside-system)., Design: Retrospective cohort study., Patients: Adult patients of five primary care clinics within a 14-hospital health system who were discharged home after a hospitalization or emergency department (ED) stay., Main Measures: Primary care visit within 14 days of discharge. A multivariable Poisson regression model was used to estimate adjusted rate ratios (aRRs) and risk differences (aRDs), controlling for sociodemographics, acute visit characteristics, and clinic characteristics., Key Results: The study included 14,310 discharges (mean age 58.4 [SD 19.0], 59.5% female, 59.5% White, 30.3% Black), of which 57.7% were from the same-site, 14.3% same-system, and 27.9% outside-system. By 14 days, 34.5% of patients discharged from the same-site hospital received primary care follow-up compared to 27.7% of same-system discharges (aRR 0.88, 95% CI 0.79 to 0.98; aRD - 6.5 percentage points (pp), 95% CI - 11.6 to - 1.5) and 20.9% of outside-system discharges (aRR 0.77, 95% CI [0.70 to 0.85]; aRD - 11.9 pp, 95% CI - 16.2 to - 7.7). Differences were greater for hospital discharges than ED discharges (e.g., aRD between same-site and outside-system - 13.5 pp [95% CI, - 20.8 to - 8.3] for hospital discharges and - 10.1 pp [95% CI, - 15.2 to - 5.0] for ED discharges)., Conclusions: Patients discharged from a hospital closely affiliated with their primary care clinic were more likely to receive timely follow-up than those discharged from other hospitals within and outside their health system. Improving care transitions requires coordination across both care settings and health systems., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: The United States Preventive Services Task Force (USPSTF) lists 32 grade A or B recommended preventive services for non-pregnant United States (US) adults, including colorectal cancer screening (CRC). Little guidance is given on how to implement these services with consistency and fidelity in primary care. Given limited patient visit time and competing demands, primary care providers (PCPs) tend to prioritize a small subset of these recommendations. Completion rates of some of these services, including CRC screening, are suboptimal. Expanding delivery of preventive services to other healthcare providers, where possible, can improve access and uptake, particularly in medically underserved areas or populations. Fecal immunochemical testing (FIT) (at-home, stool-based testing) for CRC screening can be distributed and resulted without PCP involvement. Pharmacists have long delivered preventive services (e.g., influenza vaccination) and may be a good option for expanding CRC screening delivery using FIT, but it is not clear how PCPs would perceive this expansion., Methods: We used semi-structured interviews with PCPs in North Carolina and Washington state to assess perceptions and recommendations for a potential pharmacy-based FIT distribution program (PharmFIT™). Transcripts were coded and analyzed using a hybrid inductive-deductive content analysis guided by the Consolidated Framework for Implementation Research (CFIR) to elucidate potential multi-level facilitators of and barriers to implementation of PharmFIT™., Results: We completed 30 interviews with PCPs in North Carolina (N = 12) and Washington state (N = 18). PCPs in both states were largely accepting of PharmFIT™, with several important considerations. First, PCPs felt that pharmacists should receive appropriate training for identifying patients eligible and due for FIT screening. Second, a clear understanding of responsibility for tracking tests, communication, and, particularly, follow-up of positive test results should be established and followed. Finally, clear electronic workflows should be established for relay of test result information between the pharmacy and the primary care clinic., Conclusion: If the conditions are met regarding pharmacist training, follow-up for positive FITs, and transfer of documentation, PCPs are likely to support PharmFIT™ as a way for their patients to obtain and complete CRC screening using FIT., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Advanced practice providers comprise an increasing percentage of the health care and primary care workforce. This paper evaluates the weighted contribution of advanced practice providers to the primary care workforce in well-served and underserved counties across North Carolina using age- and sex-adjusted population measures of access., (©2022 by the North Carolina Institute of Medicine and The Duke Endowment. All rights reserved.)

Background: Unhealthy alcohol use is a leading cause of preventable deaths in the USA and is associated with many societal and health problems. Less than a third of people who visit primary care providers in the USA are asked about or ever discuss alcohol use with a health professional., Methods/design: This study is an adaptive, randomized, controlled trial to evaluate the effect of primary care practice facilitation and telehealth services on evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use in small-to-medium-sized primary care practices. Study participants will include primary care practices in North Carolina with 10 or fewer providers. All enrolled practices will receive a practice facilitation intervention that includes quality improvement (QI) coaching, electronic health record (EHR) support, training, and expert consultation. After 6 months, practices in the lower 50th percentile (based on performance) will be randomized to continued practice facilitation or provision of telehealth services plus ongoing facilitation for the next 6 months. Practices in the upper 50th percentile after the initial 6 months of intervention will continue to receive practice facilitation alone. The main outcome measures include the number (and %) of patients in the target population who are screened for unhealthy alcohol use, screen positive, and receive brief counseling. Additional measures include the number (and %) of patients who receive pharmacotherapy for AUD or are referred for AUD services. Sample size calculations determined that 35 practices are needed to detect a 10% increase in the main outcome (percent screened for unhealthy alcohol use) over 6 months., Discussion: A successful intervention would significantly reduce morbidity among adults from unhealthy alcohol use by increasing counseling and other treatment opportunities. The study will produce important evidence about the effect of practice facilitation on uptake of evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use when delivered on a large scale to small and medium-sized practices. It will also generate scientific knowledge about whether embedded telehealth services can improve the use of evidence-based screening and interventions for practices with slower uptake. The results of this rigorously conducted evaluation are expected to have a positive impact by accelerating the dissemination and implementation of evidence related to unhealthy alcohol use into primary care practices., Trial Registration: ClinicalTrials.gov NCT04317989 . Registered on March 23, 2020., (© 2021. The Author(s).)

Background: Closing loops to complete diagnostic referrals remains a significant patient safety problem in most health systems, with 65%-73% failure rates and significant delays common despite years of improvement efforts, suggesting new approaches may be useful. Systems engineering (SE) methods increasingly are advocated in healthcare for their value in studying and redesigning complex processes., Objective: Conduct a formative SE analysis of process logic, variation, reliability and failures for completing diagnostic referrals originating in two primary care practices serving different demographics, using dermatology as an illustrating use case., Methods: An interdisciplinary team of clinicians, systems engineers, quality improvement specialists, and patient representatives collaborated to understand processes of initiating and completing diagnostic referrals. Cross-functional process maps were developed through iterative group interviews with an urban community-based health centre and a teaching practice within a large academic medical centre. Results were used to conduct an engineering process analysis, assess variation within and between practices, and identify common failure modes and potential solutions., Results: Processes to complete diagnostic referrals involve many sub-standard design constructs, with significant workflow variation between and within practices, statistical instability and special cause variation in completion rates and timeliness, and only 21% of all process activities estimated as value-add. Failure modes were similar between the two practices, with most process activities relying on low-reliability concepts (eg, reminders, workarounds, education and verification/inspection). Several opportunities were identified to incorporate higher reliability process constructs (eg, simplification, consolidation, standardisation, forcing functions, automation and opt-outs)., Conclusion: From a systems science perspective, diagnostic referral processes perform poorly in part because their fundamental designs are fraught with low-reliability characteristics and mental models, including formalised workaround and rework activities, suggesting a need for different approaches versus incremental improvement of existing processes. SE perspectives and methods offer new ways of thinking about patient safety problems, failures and potential solutions., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Competing Interests: Disclosures: The author declares no conflict of interest.

Costa Rica is a bright spot of primary healthcare (PHC) performance, providing first-contact accessibility and continuous, comprehensive, coordinated, and patient-centered care to its citizens. Previous research hypothesized that strong data collection and use for quality improvement are central to Costa Rica's success. Using qualitative data from 40 interviews with stakeholders across the Costa Rican healthcare system, this paper maps the various data streams at the PHC level and delineates how these data are used to make decisions around insuring and improving the quality of PHC delivery. We describe four main types of PHC data: individual patient data, population health data, national healthcare delivery data, and local supplementary healthcare delivery data. In particular, we find that the Healthcare Delivery Performance Index-a ranking of the nation's 106 Health Areas using 15 quality indicators-is utilized by Health Area Directors to create quality improvement initiatives, ranging from education and coaching to optimization of care delivery and coordination. By ranking Health Areas, the Index harnesses providers' intrinsic motivation to stimulate improvement without financial incentives. We detail how a strong culture of valuing data as a tool for improving population health and robust training for personnel have enabled effective data collection and use. However, we also find that the country's complex data systems create unnecessary duplication and can inhibit efficient data use. Costa Rica's experience with data collection, analysis, and use for quality improvement hold important lessons for PHC in other public sector systems., (© The Author(s) 2021. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.)

Primary care is widely viewed as being in crisis despite its purported central role in addressing population issues related to healthcare cost, quality, access, and equity. Despite this pivotal role, the nature of the clinical practice today has largely emerged by default. We review the evolution of clinical practice in primary care from its genesis in small practices with paper charts and telephonic patient communication to managed care, pay-for-performance, and today's era of the electronic medical record, value-based payment, and consumerism. We suggest a necessary "reset" of expectations that focuses on today's practice structure and the historic face-to-face patient care expectations. Only by doing so can we successfully meet the demands of patients, society, and practicing internists.

Importance: Much of health care involves established, routine use of medical services for chronic conditions or prevention. Stopping these services when the evidence changes or if the benefits no longer outweigh the risks is essential. Yet, most guidelines focus on escalating care and provide few explicit recommendations to stop or scale back (ie, deintensify) treatment and testing., Objective: To develop a systematic, transparent, and reproducible approach for identifying, specifying, and validating deintensification recommendations associated with routine adult primary care., Design, Setting, and Participants: A focused review of existing guidelines and recommendations was completed to identify and prioritize potential deintensification indications. Then, 2 modified virtual Delphi expert panels examined the synthesized evidence, suggested ways that the candidate recommendations could be improved, and assessed the validity of the recommendations using the RAND/UCLA Appropriateness Method. Twenty-five physicians from Veterans Affairs and US academic institutions with knowledge in relevant clinical areas (eg, geriatrics, primary care, women's health, cardiology, and endocrinology) served as panel members., Main Outcomes and Measures: Validity of the recommendations, defined as high-quality evidence that deintensification is likely to improve patient outcomes, evidence that intense testing and/or treatment could cause harm in some patients, absence of evidence on the benefit of continued or repeated intense treatment or testing, and evidence that deintensification is consistent with high-quality care., Results: A total of 409 individual recommendations were identified representing 178 unique opportunities to stop or scale back routine services (eg, stopping population-based screening for vitamin D deficiency and decreasing concurrent use of opioids and benzodiazepines). Thirty-seven recommendations were prioritized and forwarded to the expert panels. Panelists reviewed the evidence and suggested modifications, resulting in 44 recommendations being rated. Overall, 37 recommendations (84%) were considered to be valid, as assessed by the RAND/UCLA Appropriateness Method., Conclusions and Relevance: In this study, a total of 178 unique opportunities to deintensify routine primary care services were identified, and 37 of these were validated as high-priority deintensification recommendations. To date, this is the first study to develop a model for identifying, specifying, and validating deintensification recommendations that can be implemented and tracked in clinical practice.

Objective: To solicit leading health informaticians' predictions about the impact of AI/ML on primary care in the US in 2029., Design: A three-round online modified Delphi poll., Participants: Twenty-nine leading health informaticians., Methods: In September 2019, health informatics experts were selected by the research team, and invited to participate the Delphi poll. Participation in each round was anonymous, and panelists were given between 4-8 weeks to respond to each round. In Round 1 open-ended questions solicited forecasts on the impact of AI/ML on: (1) patient care, (2) access to care, (3) the primary care workforce, (4) technological breakthroughs, and (5) the long-future for primary care physicians. Responses were coded to produce itemized statements. In Round 2, participants were invited to rate their agreement with each item along 7-point Likert scales. Responses were analyzed for consensus which was set at a predetermined interquartile range of ≤ 1. In Round 3 items that did not reach consensus were redistributed., Results: A total of 16 experts participated in Round 1 (16/29, 55%). Of these experts 13/16 (response rate, 81%), and 13/13 (response rate, 100%), responded to Rounds 2 and 3, respectively. As a result of developments in AI/ML by 2029 experts anticipated workplace changes including incursions into the disintermediation of physician expertise, and increased AI/ML training requirements for medical students. Informaticians also forecast that by 2029 AI/ML will increase diagnostic accuracy especially among those with limited access to experts, minorities and those with rare diseases. Expert panelists also predicted that AI/ML-tools would improve access to expert doctor knowledge., Conclusions: This study presents timely information on informaticians' consensus views about the impact of AI/ML on US primary care in 2029. Preparation for the near-future of primary care will require improved levels of digital health literacy among patients and physicians., Competing Interests: The authors have declared that no competing interests exist.

Background: Practice facilitation is a promising strategy to enhance care processes and outcomes in primary care settings. It requires that practices and their facilitators engage as teams to drive improvement. In this analysis, we explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month practice facilitation intervention focused on implementing cardiovascular prevention activities in practice. Understanding factors associated with greater engagement with facilitators in practice-based quality improvement can assist practice facilitation programs with planning and resource allocation., Methods: One hundred thirty-six ambulatory care small to medium sized primary care practices that participated in the EvidenceNow initiative's NC Cooperative, named Heart Health Now (HHN), fit the eligibility criteria for this analysis. We explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month intervention using a retrospective cohort design that included baseline survey data, monthly practice activity implementation data and information about facilitator's experience. Generalized linear mixed-effects models (GLMMs) identified variables associated with greater odds of team engagement using an ordinal scale for level of team engagement., Results: Among our practice cohort, over half were clinician-owned and 27% were Federally Qualified Health Centers. The mean number of clinicians was 4.9 (SD 4.2) and approximately 40% of practices were in Medically Underserved Areas (MUA). GLMMs identified a best fit model. The Model presented as odd ratios and 95% confidence intervals suggests greater odds ratios of higher team engagement with greater practice QI leadership 17.31 (5.24-57.19), [0.00], and practice location in a MUA 7.25 (1.8-29.20), [0.005]. No facilitator characteristics were independently associated with greater engagement., Conclusions: Our analysis provides information for practice facilitation stakeholders to consider when considering which practices may be more amendable to embracing facilitation services.

Evidence-based depression treatment in primary care is well established. However, clinicians are less likely to be trained to diagnose and treat anxiety disorder, which is frequently comorbid, poses an independent risk for suicidality, and complicates disease management. The University of North Carolina's Internal Medicine Clinic developed a measurement-guided approach to identifying and treating anxiety disorder using the seven-item Generalized Anxiety Disorder Scale, treatment algorithms, medication charts, case-based training for best practices, onsite behavioral counseling, and psychiatric consultation. NAMASTE (new anxiety management algorithm standardizing treatment experience) offers a treatment approach for primary care and addresses a major unmet need in public health and medical education.

Importance: Primary care is the foundation of pediatric care. While policy interventions have focused on improving access and quality of primary care, trends in overall use of primary care among children have not been described., Objective: To assess trends in primary care visit rates and out-of-pocket costs, to examine variation in these trends by patient and visit characteristics, and to assess shifts to alternative care options (eg, retail clinics, urgent care, and telemedicine)., Design, Setting, and Participants: Observational cohort study of claims data from 2008 to 2016 for children 17 years and younger covered by a large national commercial health plan. Visit rate per 100 child-years was determined for each year overall, by child and geographic characteristics, and by visit type (eg, primary diagnosis), and trends were assessed with a series of child-year Poisson models. Data were analyzed from November 2017 to September 2019., Main Outcomes and Measures: Visits to primary care and other settings., Results: This cohort study included more than 71 million pediatric primary care visits over 29 million pediatric child-years (51% male in 2008 and 2016; 37% between 12-17 years in 2008 and 38% between 12-17 years in 2016). Unadjusted results for primary care visit rates per 100 child-years decreased from 259.6 in 2008 to 227.2 in 2016, yielding a regression-estimated change in primary care visits across the 9 years of -14.4% (95% CI, -15.0% to -13.9%; absolute change: -32.4 visits per 100 child-years). After controlling for shifts in demographics, the relative decrease was -12.8% (95% CI, -13.3% to -12.2%). Preventive care visits per 100 child-years increased from 74.9 in 2008 to 83.2 visits in 2016 (9.9% change in visit rate; 95% CI, 9.0%-10.9%; absolute change: 8.3 visits per 100 child-years), while problem-based visits per 100 child-years decreased from 184.7 in 2008 to 144.1 in 2016 (-24.1%; 95% CI, -24.6% to -23.5%; absolute change: -40.6 visits per 100 child-years). Visit rates decreased for all diagnostic groups except for the behavioral and psychiatric category. Out-of-pocket costs for problem-based primary care visits increased by 42% during the same period. Per 100 child-years, visits to other acute care venues increased from 21.3 to 27.6 (30.3%; 95% CI, 28.5% to 32.1%; absolute change: 6.3 visits per 100 child-years) and visits to specialists from 45.2 to 53.5 (16.4%; 95% CI, 14.8% to 18.0%, absolute change: 8.3 visits per 100 child-years)., Conclusions and Relevance: Primary care visit rates among commercially insured children decreased over the last decade. Increases in out-of-pocket costs and shifts to other venues appear to explain some of this decrease.

Background: Physician denial of patient requests is associated with lower patient satisfaction. Our objective was to explore factors that influence physician request denial and patient satisfaction after request denial., Methods: Cross-sectional observational study of 1141 adult patients seen during 1319 outpatient visits with 56 primary care physicians. We measured patients' postvisit self-report of requests and request fulfillment, visit satisfaction, sociodemographics, health status, symptom burden, life satisfaction, medical skepticism, and whether patients saw their usual physician and a faculty or resident physician. We used mixed-effects regression analyses to identify predictors of request denial and visit satisfaction among patients who had a request denied., Results: Patients made at least 1 request at 867 visits (65.7%) with at least 1 denied request reported at 182 visits (21.0%). Patients who saw their usual physician were less likely to report a request denial (adjusted Odds Ratio [aOR], 0.61; 95% CI, 0.42 to 0.88), and patients with the highest symptom burden (aOR, 2.21; 95% CI, 1.38 to 3.55) or greater medical skepticism (aOR, 1.35; 95% CI, 1.03 to 1.78) were more likely to report request denials. After request denials, patients seeing their usual physicians reported significantly greater visit satisfaction compared with not seeing their usual physician (adjusted percentile rank in visit satisfaction: 12.4%; 95% CI, 3.5% to 21.2%)., Conclusions: Approximately one fifth of visits in primary care have a denied request. Having an office visit with one's usual physician is associated with reduced likelihood of request denial and may mitigate the adverse impacts of request denial on patient visit satisfaction., Competing Interests: Conflict of interest: none declared., (© Copyright 2020 by the American Board of Family Medicine.)

Background: The management quality of healthcare facilities has consistently been linked to facility performance, but available tools to measure management are costly to implement, often hospital-specific, not designed for low- and middle-income countries (LMICs), nor widely deployed. We addressed this gap by developing the PRImary care facility Management Evaluation Tool (PRIME-Tool), a primary health care facility management survey for integration into routine national surveys in LMICs. We present an analysis of the tool's psychometric properties and suggest directions for future improvements., Methods: The PRIME-Tool assesses performance in five core management domains: Target setting, Operations, Human resources, Monitoring, and Community engagement. We evaluated two versions of the PRIME-Tool. We surveyed 142 primary health care (PHC) facilities in Ghana in 2016 using the first version (27 items) and 148 facilities in 2017 using the second version (34 items). We calculated floor and ceiling effects for each item and conducted exploratory factor analyses to examine the factor structure for each year and version of the tool. We developed a revised management framework and PRIME-tool as informed by these exploratory results, further review of management theory literature, and co-author consensus., Results: The majority (17 items in 2016, 23 items in 2017) of PRIME-Tool items exhibited ceiling effects, but only three (2 items in 2016, 3 items in 2017) showed floor effects. Solutions suggested by factor analyses did not fully fit our initial hypothesized management domains. We found five groupings of items that consistently loaded together across each analysis and named these revised domains as Supportive supervision and target setting, Active monitoring and review, Community engagement, Client feedback for improvement, and Operations and financing., Conclusion: The revised version of the PRIME-Tool captures a range of important and actionable information on the management of PHC facilities in LMIC contexts. We recommend its use by other investigators and practitioners to further validate its utility in PHC settings. We will continue to refine the PRIME-Tool to arrive at a parsimonious tool for tracking PHC facility management quality. Better understanding the functional components of PHC facility management can help policymakers and frontline managers drive evidence-based improvements in performance.

Introduction: While driving is an important instrumental activity of daily living (ADL), older adults belonging to low-income racial minorities make up a large proportion of never-drivers who utilize alternative modes of transportation (Babulal et al., Geriatrics 3, 2018; Choi and Mezuk, J Appl Gerontol 32:902-912, 2013). Our study is a comparative analysis of comorbid health conditions among older drivers and nondrivers receiving care at a safety net hospital in Atlanta in order to assess utilization of healthcare resources and chronic disease burden among the two groups., Methods: This is a retrospective cohort study of 690 patients age 65 or older who received care at the Emma Darnell Geriatric Center at Grady Hospital during 2/1/2016-2/1/2017. Self-reported driving status was analyzed and compared for all variables including demographics, insurance information, ADL scores, use of assistive device, sensory impairment, number of Geriatric Clinic visits in a year, and associated visit diagnoses., Results: Twenty-three percent of total 690 patients reported being drivers. Over 94% patients were African Americans and over 67% were women in both groups. Drivers were more functionally independent and were less likely to have cognitive impairment compared with nondrivers. Mean number of visits to Geriatric Primary Care Clinic in a year was low in both groups, and enrollment in a Medicare advantage plan did not affect the association., Conclusion: Approximately 77% of older adults getting care at a safety net hospital in Atlanta reported not driving a motor vehicle. Utilization of primary healthcare resources was low in both groups and was not affected by enrollment in a Medicare advantage plan.

Purpose: Recent evidence shows a national decline in primary care visit rates over the last decade. It is unclear how changes in practice-including the use and content of primary care visits-may have contributed., Methods: We analyzed nationally representative data of adult visits to primary care physicians (PCPs) and physician practice characteristics from 2007-2016 (National Ambulatory Medical Care Survey). United States census estimates were used to calculate visits per capita. Measures included visit rates per person year; visit duration; number of medications, diagnoses, and preventive services per visit; percentage of visits with scheduled follow-up; and percentage of physicians with practice capabilities including an electronic medical record (EMR)., Results: Our weighted sample represented 3.2 billion visits (83,368 visits, unweighted). Visits per capita declined by 20% (-0.25 visits per person, 95% CI, -0.32 to -0.19) during this time, while visit duration increased by 2.4 minutes per visit (95% CI, 1.1-3.8). Per visit, PCPs addressed 0.30 more diagnoses (95% CI, 0.16-0.43) and 0.82 more medications (95% CI, 0.59-1.1), and provided 0.24 more preventive services (95% CI, 0.12-0.36). Visits with scheduled PCP followup declined by 6.0% (95% CI, -12.4 to 0.46), while PCPs reporting use of EMR increased by 44.3% (95% CI, 39.1-49.5) and those reporting use of secure messaging increased by 60.9% (95% CI, 27.5-94.3)., Conclusion: From 2008 to 2015, primary care visits were longer, addressed more issues per visit, and were less likely to have scheduled follow-up for certain patients and conditions. Meanwhile, more PCPs offered non-face-to-face care. The decline in primary care visit rates may be explained in part by PCPs offering more comprehensive in-person visits and using more non-face-to-face care., (© 2019 Annals of Family Medicine, Inc.)

Purpose : To compare outcomes of glaucoma screening in primary care and community settings, including the follow-up rates of subjects with positive screening results. Methods : This was a comparative, prospective, non-randomized study. Subjects were recruited by medical students in community-based and primary care settings and screened for glaucoma using the same screening strategy. Results : Two hundred and fifteen total patients were screened, 117 in community settings and 98 in primary care settings. Positive screenings were seen in 34% of patients in the community setting group (n = 40) and 40% of patients in the primary care setting group (n = 39). Of the patients who screened positive, 74% completed their initial follow-up appointment in the primary care setting group compared with 47.5% in the community-based setting group ( p = .015). In the primary care setting, 18% were lost to follow up compared with 42.5% in the community-setting ( P = .018). African-Americans were more likely to follow-up ( P = .025) and less likely to be lost to follow-up ( P = .033) in the primary care setting compared with the community-based setting. Conclusion : Patients with a positive glaucoma screening result in a primary care setting are more likely to follow up than those in a community-based setting.

Aiming to increase care access, the national Primary Care-Mental Health Integration (PC-MHI) initiative of the Veterans Health Administration (VHA) embedded specialists, care managers, or both in primary care clinics to collaboratively care for veterans with psychiatric illness. The initiative's effects on health care use and cost patterns were examined among 5.4 million primary care patients in 396 VHA clinics in 2013-16. The median rate of patients who saw a PC-MHI provider was 6.3 percent. Each percentage-point increase in the proportion of clinic patients seen by these providers was associated with 11 percent more mental health and 40 percent more primary care visits but also with 9 percent higher average total costs per patient per year. At the mean, 2.5 integrated care visits substituted for each specialty-based mental health visit that did not occur. PC-MHI was associated with improved access to outpatient care, albeit at increased total cost to the VHA. Successful implementation of integrated care necessitates significant investment and multidisciplinary partnership within health systems.

Background: Strong primary health care (PHC) is essential for achieving universal health coverage, but in many low- and middle-income countries (LMICs) PHC services are of poor quality. Facility management is hypothesized to be critical for improving PHC performance, but evidence about management performance and its associations with PHC in LMICs remains limited., Methods: We quantified management performance of PHC facilities in Ghana and assessed the experiences of women who sought care at sampled facilities. Using multi-level models, we examined associations of facility management with five process outcomes and eight experiential outcomes., Findings: On a scale of 0 to 1, the average overall management score in Ghana was 0·76 (IQR = 0·68-0·85). Facility management was significantly associated with one process outcome and three experiential outcomes. Controlling for facility characteristics, facilities with management scores at the 90th percentile (management score = 0·90) had 22% more essential drugs compared to facilities with management scores at the 10th percentile (0·60) (p = 0·002). Positive statistically non-significant associations were also seen with three additional process outcomes-integration of family planning services (p = 0·054), family planning types provided (p = 0·067), and essential equipment availability (p = 0·104). Compared to women who sought care at facilities with management scores at the 10th percentile, women who sought care at facilities at the 90th percentile reported 8% higher ratings of trust in providers (p = 0·028), 15% higher ratings of ease of following provider's advice (p = 0·030), and 16% higher quality rating (p = 0·020). However, women who sought care in the 90th percentile facilities rated their waiting times as worse (22% lower, p = 0·039)., Interpretation: Higher management scores were associated with higher scores for some process and experiential outcomes. Large variations in management performance indicate the need to strengthen management practices to help realize the full potential of PHC in improving health outcomes., Competing Interests: Dr. Bitton reports grants from Bill and Melinda Gates Foundation, during the conduct of the study. Dr. Gawande reports grants from Bill and Melinda Gates Foundation, during the conduct of the study; and Dr. Gawande is the CEO of Haven, the health care venture founded by Amazon, Berkshire Hathaway, and JPMorgan Chase. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Dr. Hirschhorn reports grants from Bill & Melinda Gates Foundation, during the conduct of the study. Dr. Lipsitz reports grants from Bill & Melinda Gates Foundation, during the conduct of the study. Dr. Macarayan reports grants from Bill & Melinda Gates Foundation, during the conduct of the study. Dr. Miller reports grants from Bill and Melinda Gates Foundation, during the conduct of the study. Dr. Otupiri has nothing to disclose. Ms. Ratcliffe reports grants from Bill and Melinda Gates Foundation, during the conduct of the study.

The preventive health care needs of transgender persons are nearly identical to the rest of the population. Special consideration should be given, however, to the impact of gender-affirming hormone regimens and surgical care on preventive screenings. Providers should integrate a more comprehensive view of health when caring for transgender persons and address the impact of social determinants and other barriers to accessing affirming, inclusive health care. In individual interactions, providers must consider the unique impact that a gender identity and expression different from the assigned gender at birth affects patient-provider interactions, including the history, physical examination, and diagnostic testing., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Trauma is pervasive in the USA, but disproportionately present in individuals and communities burdened by poverty, violence, and exposure to the criminal justice system. Engagement in clinical care, especially community-based primary care, is particularly important in the immediate period following community reentry from incarceration, where opportunities to engage clients in services are essential for improved health and reduced recidivism. Trauma-informed care offers an important and innovative opportunity for healthcare systems and primary care providers to improve quality of care and the patient experience, thereby increasing longitudinal engagement of marginalized and hard-to-reach patient populations like persons with criminal justice system exposure. Trauma-informed care implementation includes educating providers and transforming practices to incorporate safety, trust, peer support, collaboration, empowerment, and cultural perspectives into everyday operations and care delivery. While comprehensive trauma-informed care involves transformation on a system level, trauma-informed approaches can also be adopted by the individual provider to improve the clinical consultation. By recognizing the role of trauma and its impact on an individual's physical, emotional, and behavioral health, providers and clients can build mutual trust, focus on individual growth, and begin to foster healing.

Background: Following the Affordable Care Act's Medicaid expansions, access to care improved through elevated coverage rates among the low-income population. In Michigan, a major factor contributing to improved access among low-income patients was increased Medicaid acceptance in primary care settings., Objectives: Prior evidence shows substantial geographic variation preacceptance and postacceptance of Medicaid. In this study, we determine whether physician's willingness to accept new Medicaid patients is moderated by the availability of other providers in close proximity., Methods: The study uses Michigan simulated patient (ie, "secret shopper") data collected during 2014 and 2015, and applies a difference-in-differences styled event-study regression approach comparing trends in Medicaid acceptability and appointment scheduling between areas in Michigan with higher densities of primary care providers against those with lower densities of providers that could arguably be classified a health professional shortage areas., Results: Through one year after Michigan's Medicaid expansion, practices in low-supply areas appeared no more likely (P>0.10) to turn away a newly insured Medicaid patient than a practice in a supply-rich area. The wait times for patients in a low-supply area were about a day longer (P<0.05) than for patients in supply-rich areas through 4 months after the expansion, though this difference dissipated through 8 and 12 months after the expansion., Conclusions: These results indicate that newly insured Medicaid patients are gaining access to care in settings with limited health care supply.

Importance: The US health care system is typically organized around hospitals and specialty care. The value of primary care remains unclear and debated., Objective: To determine whether an association exists between receipt of primary care and high-value services, low-value services, and patient experience., Design, Setting, and Participants: This is a nationally representative analysis of noninstitutionalized US adults 18 years or older who participated in the Medical Expenditure Panel Survey. Propensity score-weighted quality and experience of care were compared between 49 286 US adults with and 21 133 adults without primary care from 2012 to 2014. Temporal trends were also analyzed from 2002 to 2014., Exposures: Patient-reported receipt of primary care, determined by the 4 "Cs" of primary care: first-contact care that is comprehensive, continuous, and coordinated., Main Outcomes and Measures: Thirty-nine clinical quality measures and 7 patient experience measures aggregated into 10 clinical quality composites (6 high-value and 4 low-value services), an overall patient experience rating, and 2 experience composites., Results: From 2002 to 2014, the mean annual survey response rate was 58% (range, 49%-65%). Between 2012 and 2014, compared with respondents without primary care (before adjustment), those with primary care were older (50 [95% CI, 50-51] vs 38 [95% CI, 38-39] years old), more often female (55% [95% CI, 54%-55%] vs 42% [95% CI, 41%-43%]), and predominately white individuals (50% [95% CI, 49%-52%] vs 43% [95% CI, 41%-45%]). After propensity score weighting, US adults with or without primary care had the same mean numbers of outpatient (6.7 vs 5.9; difference, 0.8 [95% CI, -0.2 to 1.8]; P = .11), emergency department (0.2 for both; difference, 0.0 [95% CI, -0.1 to 0.0]; P = .17), and inpatient (0.1 for both; difference, 0.0 [95% CI, 0.0-0.0]; P = .92) encounters annually, but those with primary care filled more prescriptions (mean, 14.1 vs 10.7; difference, 3.4 [95% CI, 2.0-4.7]; P < .001) and were more likely to have a routine preventive visit in the past year (mean, 72.2% vs 57.5%; difference, 14.7% [95% CI, 12.3%-17.1%]; P < .001). From 2012 to 2014, Americans with primary care received more high-value care in 4 of 5 composites. For example, 78% of those with primary care received high-value cancer screening compared with 67% without primary care (difference, 10.8% [95% CI, 8.5%-13.0%]; P < .001). Americans with or without primary care received low-value care with similar frequencies on 3 of 4 composites, although Americans with primary care received more low-value antibiotics (59% vs 48%; difference, 11.0% [95% CI, 2.8%-19.3%] P < .001). Respondents with primary care also reported significantly better health care access and experience. For example, physician communication was highly rated for a greater proportion of those with (64%) vs without (54%) primary care (difference, 10.2%; 95% CI, 7.2%-13.1%; P < .001). Differences in quality and experience between Americans with or without primary care were essentially stable between 2002 and 2014., Conclusions and Relevance: Receipt of primary care was associated with significantly more high-value care, slightly more low-value care, and better health care experience. Policymakers and health system leaders seeking to improve value should consider increasing investments in primary care.

Objectives: Michigan expanded Medicaid under the Affordable Care Act (ACA) through a federal waiver that permitted state-mandated features, including an emphasis on primary care. We investigated the factors associated with Michigan primary care providers (PCPs)' decision to accept new Medicaid patients under Medicaid expansion., Study Design: Statewide survey of PCPs informed by semistructured interviews., Methods: After Michigan expanded Medicaid on April 1, 2014, we surveyed 2104 PCPs (including physician and nonphysician providers, such as nurse practitioners and physician assistants) with 12 or more assigned Medicaid expansion enrollees (response rate, 56%). To guide survey development and interpretation, we interviewed a separate group of 19 PCPs with Medicaid expansion enrollees from diverse urban and rural regions. Survey questions assessed PCPs' current acceptance of new Medicaid patients., Results: Of the 2104 surveyed PCPs, 78% reported that they were currently accepting additional Medicaid patients; 58% reported having at least some influence on the decision. Factors considered very/moderately important to the Medicaid acceptance decision included practice capacity to accept any new patients (69%), availability of specialists for Medicaid patients (56%), reimbursement amount (56%), psychosocial needs of Medicaid patients (50%), and illness burden of Medicaid patients (46%). PCPs accepting new Medicaid patients tended to be female, minorities, nonphysician providers, specialized in internal medicine, paid by salary, or working in practices with Medicaid-predominant payer mixes., Conclusions: In the era after Medicaid expansion, PCPs placed importance on practice capacity, specialist availability, and patients' medical and psychosocial needs when deciding whether to accept new Medicaid patients. To maintain primary care access for low-income patients with Medicaid, future efforts should focus on enhancing the diversity of the PCP workforce, encouraging healthcare professional training in underserved settings, and promoting practice-level innovations in scheduling and integration of specialist care.

Background: Patient requests for tests, treatments, or referrals occur frequently during primary care visits and pose challenges for clinicians to address, but little is known about patient characteristics that may predict requests., Objective: To identify patient characteristics associated with a higher rate of patient requests during primary care visits., Design, Setting, and Sample: Cross-sectional analyses of data from 1141 adult patients attending 1319 visits with 56 primary care physicians (including 45 resident and 11 faculty physicians) in an academic family medicine practice., Measurements: Postvisit patient surveys including measures of patient requests for tests, prescriptions, and referrals; sociodemographics; mental and physical health status; symptom bother or worry (3-item scale; range, 3 to 15; Cronbach's α = 0.83); global life satisfaction; medical skepticism; and Five Factor Model personality traits., Results: Patients made 1 or more requests in 867 visits (65.7%). In multivariate analyses of the within-visit request count, the following patient variables were statistically significantly associated with a higher rate of requests: age in years (incidence rate ratio [IRR], 1.01 [95% CI, 1.00 to 1.01]), increased symptom bother or worry (IRR, 1.06 [95% CI, 1.03 to 1.08]), a more extroverted personality (IRR, 1.12 [95% CI, 1.03 to 1.08]), greater life satisfaction (IRR, 1.01 [95% CI, 1.00 to 1.02]), and any prior encounter with the visit physician (IRR, 1.17 [95% CI, 1.04 to 1.32])., Conclusions: Primary care physicians should expect a greater frequency of requests from older patients, patients with greater symptoms bother or worry, more extroverted patients, patients with greater global life satisfaction, and patients with whom they have had prior visits., Competing Interests: Conflict of interest: none declared., (© Copyright 2019 by the American Board of Family Medicine.)

Objectives: Perform a systematic review to evaluate the outcome of deprescription compared with standard care. The focus was on chronic medical and mental health conditions managed in primary care., Design: The databases searched include PubMed, Medline, EMBASE, the Cochrane Library, Scopus, and Web of Science. Each study was assessed for bias with the Cochrane Collaboration tool., Settings and Participants: This review included outpatient, assisted living, nursing home, and acute care settings (if medications for chronic disease were deprescribed). Subjects were non-terminally ill adults 18 years and older., Measures: Primary outcome was successful deprescription, defined as a statistically significant reduction in medication burden between the intervention group and the standard care or control group, or when more than 50% of intervention subjects were able to tolerate medication discontinuation compared with control by the end of the study., Results: Fifty-eight articles met the study criteria. Thirty-three (58%) had a high risk of bias. Studies varied in duration from 4 weeks to 5 years and were conducted across a diverse array of primary health care settings. The most successful interventions used pharmacist-led educational interventions and patient-specific drug recommendations. Cardiovascular drugs including antihypertensives/diuretics and nitrates were the most successfully deprescribed class of drugs. Psychotropic medications and proton-pump inhibitors were the classes most resistant to deprescribing, despite intense intervention., Conclusions/implications: Deprescription may be successful and effective in select classes of drugs, with collaboration of clinical pharmacists for patient and provider education, and patient-specific drug recommendations, complemented by close clinical follow-up to detect early signs of exacerbation of chronic diseases. This review also suggests that deprescription may (1) require expensive intensive, ongoing interventions by clinical teams; (2) not lead to expected outcomes such as improved falls rate, cognition, and quality of life, or a lower admission rate; and (3) have unexpected adverse outcomes affecting patients' quality of life., (Published by Elsevier Inc.)

The expansion of Medicaid under the Affordable Care Act has strained the capacity of many academic health centers (AHCs) to deliver primary and specialty care to this traditionally underserved population. The authors, longtime faculty members in the University of California, Davis Health (UCDH) system, discuss the challenges of UCDH's participation in Medi-Cal, the nation's largest Medicaid program, and their institution's controversial decision in 2015 to withdraw from its last Medi-Cal primary care contract, which has had untoward effects on UCDH's social and educational missions. The authors call on AHCs to leverage their considerable intellectual and human capital as well as their focus on education and research to aggressively pursue innovative models of high-value primary care for underserved populations in their local communities, highlighting several recent successful examples of such programs. The UCDH experience has implications for other AHCs grappling with the financial realities of an increasingly competitive, value-based health care marketplace and the inherent difficulty in balancing educational, research, patient care, and social or community service missions.

Purpose: To estimate the conditions under which team documentation-having a staff member enter history, place orders, and guide patients-would be financially viable at primary care practices, accounting for implementation costs., Methods: We applied a validated microsimulation model of practice costs, revenues, and time use to data from 643 US primary care practices. We estimated critical threshold values for time saved from routine visits that would need to be redirected to new visits to avoid net revenue losses under: (1) a clerical documentation assistant (CDA) strategy where a scribe assists with recordkeeping; and (2) an advanced team-based care (ATBC) strategy where medical assistants perform history, documentation, counseling, and order entry., Results: Using a fee-for-service model, we estimated that physicians would need to save 3.5 (95% CI, 3.3-3.7) minutes/encounter under a CDA strategy and 7.4 (95% CI, 4.3-10.5) minutes/encounter under an ATBC strategy to prevent net revenue losses. The redirected time would be expected to add 317 visit slots per year under CDA strategy, and 720 under ATBC strategy. Using a capitated payment model, physicians would need to empanel at least 127 (95% CI, 70-187) more patients under CDA and 227 (95% CI, 153-267) under ATBC to prevent revenue losses. Additional patient visits expected would be 279 (95% CI, 140-449) additional visit slots per year under CDA and 499 (95% CI, 454-641) under ATBC., Conclusions: Financial viability of team documentation under fee-for-service payment may require more physician time to be reallocated to patient encounters than under a capitated payment model., (© 2018 Annals of Family Medicine, Inc.)

Competing Interests: Conflicts of interest: Shoemaker serves as a medical advisory board member for Emmi Solutions for their medication adherence module.

Background: Despite new incentives for US primary care, concerns abound that patient-centered practice capabilities are lagging., Objective: Describe the practice structure, patient-centered capabilities, and payment relationships of US primary care practices; identify disparities in practice capabilities., Design: Analysis of the 2015 Medical Organizations Survey (MOS), part of the nationally representative Medical Expenditure Panel Survey (MEPS)., Setting: Practice-reported information from primary care practices of MEPS respondents who reported receiving primary care and made at least one visit in 2015 to that practice., Participants: Surveyed primary care practices (n = 4318; 77% response rate) providing primary care to 7161 individuals, representing 101,159,263 Americans., Main Measures: Practice structure (ownership and personnel); practice capabilities (certification as a patient-centered medical home [PCMH], electronic health record [EHR] use, and x-ray capability); and payment orientation (accountable care organization [ACO] and capitation)., Key Results: Independently owned practices served 55% of patients, hospital-owned practices served 19%, and nonprofit/government/academic-owned served 20%. Solo practices served 25% of patients and practices with 2-10 physicians served 53% of patients. Forty-one percent of patients were served by practices certified as PCMHs. Practices with EHRs cared for 90% of patients and could exchange secure messages with 78% of patients. Practices with in-office x-ray capability cared for 34% of patients. Practices participating in ACOs and capitation served 44% and 46% of patients, respectively. Primary care patients in the South, compared to the rest of the country, had less access to nearly all practice capabilities, including patient care coordination (adjusted difference, 13% [95% CI, 8-18]) and secure EHR messaging (adjusted difference, 6% [95% CI, 1-10]). Uninsured patients were less likely to be served at a practice that used an EHR (adjusted difference, 9% [95% CI, 2-16])., Conclusions: Participants' primary care practices were mostly independently owned, nearly always used EHRs (albeit of varying capability), and frequently participated in innovative payment arrangements for a portion of their patients. Patient practices in the South had fewer capabilities than the rest of the country.

Purpose: Our purpose was to assess whether a practice's adaptive reserve and high leadership capability in quality improvement are associated with population blood pressure control., Methods: We divided practices into quartiles of blood pressure control performance and considered the top quartile as the benchmark for comparison. Using abstracted clinical data from electronic health records, we performed a cross-sectional study to assess the association of top quartile hypertension control and (1) the baseline practice adaptive reserve (PAR) scores and (2) baseline practice leadership scores, using modified Poisson regression models adjusting for practice-level characteristics., Results: Among 181 practices, 46 were in the top quartile, which averaged 68% or better blood pressure control. Practices with higher PAR scores compared with lower PAR scores were not more likely to reside in the top quartile of performance (prevalence ratio [PR] = 1.92 for highest quartile; 95% CI, 0.9-4.1). Similarly, high quality improvement leadership capability compared with lower capability did not predict better blood pressure control performance (PR = 0.94; 95% CI, 0.57-1.56). Practices with higher proportions of commercially insured patients were more likely than practices with lower proportions of commercially insured patients to have top quartile performance (37% vs 26%, P =.002), whereas lower proportions of the uninsured (8% vs 14%, P =.055) were associated with better performance., Conclusions: Our findings show that adaptive reserve and leadership capability in quality improvement implementation are not statistically associated with achieving top quartile practice-level hypertension control at baseline in the Heart Health NOW project. Our findings, however, may be limited by a lack of patient-related factors and small sample size to preclude strong conclusions., Competing Interests: Conflicts of interest: authors report none., (© 2018 Annals of Family Medicine, Inc.)

Competing Interests: Conflicts of interest: Bitton serves as a part-time senior advisor to the Comprehensive Primary Care Plus Initiative at the Center for Medicare and Medicaid Innovation.

Background: Increasing use of nurse practitioners and physician assistants is a possible solution to the shortage of primary care providers in the United States, but the quality of care they provide is not well understood., Methods: Because the scope of practice of the 3 provider types is similar in the Veterans Health Administration, we determined whether patients managed by primary care nurse practitioners, physician assistants, or physicians had similar hemoglobin A1c levels at comparable times in the natural history of diabetes. Our retrospective cohort study examined veterans with newly diagnosed diabetes in 2008, continuous primary care from 2008 to 2012, and more than 75% of primary care visits with nurse practitioner, physician assistant, or physician., Results: Of the 19,238 patients, 95.3% were male, 77.7% were white, and they had a mean age 68.5 years; 14.7%, 7.1%, and 78.2% of patients were managed by nurse practitioners, physician assistants, and physicians, respectively. Median hemoglobin A1c was comparable at diagnosis (6.6%, 6.7%, 6.7%, P > .05) and after 4 years (all 6.5%, P > .5). Hemoglobin A1c levels at initiation of the first (7.5%-7.6%) and second (8.0%-8.2%) oral medications for patients of nurse practitioners and physician assistants compared with that of physicians was also similar after adjusting for patient characteristics (all P > .05). Nurse practitioners started insulin at a lower hemoglobin A1c (9.4%) than physicians (9.7%), which remained significant after adjustment (P < .05)., Conclusions: At diagnosis and during 4 years of follow-up, diabetes management by nurse practitioners and physician assistants was comparable to management by physicians. The Veterans Health Administration model for roles of nurse practitioners and physician assistants may be broadly useful to help meet the demand for primary care providers in the United States., (Published by Elsevier Inc.)

Background: New payments from Medicare encourage behavioral health services to be integrated into primary care practice activities., Objective: To evaluate the financial impact for primary care practices of integrating behavioral health services., Design: Microsimulation model., Participants: We simulated patients and providers at federally qualified health centers (FQHCs), non-FQHCs in urban and rural high-poverty areas, and practices outside of high-poverty areas surveyed by the National Association of Community Health Centers, National Ambulatory Medical Care Survey, National Health and Nutrition Examination Survey, and National Health Interview Survey., Interventions: A collaborative care model (CoCM), involving telephone-based follow-up from a behaviorist care manager, or a primary care behaviorist model (PCBM), involving an in-clinic behaviorist., Main Measures: Net revenue change per full-time physician., Key Results: When behavioral health integration services were offered only to Medicare patients, net revenue was higher under CoCM (averaging $25,026 per MD in year 1 and $28,548/year in subsequent years) than PCBM (-$7052 in year 1 and -$3706/year in subsequent years). When behavioral health integration services were offered to all patients and were reimbursed by Medicare and private payers, only practices adopting the CoCM approach consistently gained net revenues. The outcomes of the model were sensitive to rates of patient referral acceptance, presentation, and therapy completion, but the CoCM approach remained consistently financially viable whereas PCBM would not be in the long-run across practice types., Conclusions: New Medicare payments may offer financial viability for primary care practices to integrate behavioral health services, but this viability depends on the approach toward care integration.

Background: Patient experience measures are widely used to compare performance at the individual physician level., Objective: To assess the impact of unmeasured patient characteristics on visit-level patient experience measures and the sample sizes required to reliably measure patient experience at the primary care physician (PCP) level., Design: Repeated cross-sectional design., Setting: Academic family medicine practice in California., Participants: One thousand one hundred forty-one adult patients attending 1319 visits with 56 PCPs (including 45 resident and 11 faculty physicians)., Measurements: Post-visit patient experience surveys including patient measures used for standard adjustment as recommend by the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Consortium and additional patient characteristics used for expanded adjustment (including attitudes toward healthcare, global life satisfaction, patient personality, current symptom bother, and marital status)., Results: The amount of variance in patient experience explained doubled with expanded adjustment for patient characteristics compared with standard adjustment (R 2 = 20.0% vs. 9.6%, respectively). With expanded adjustment, the amount of variance attributable to the PCP dropped from 6.1% to 3.4% and the required sample size to achieve a reliability of 0.90 in the physician-level patient experience measure increased from 138 to 255 patients per physician. After ranking of the 56 PCPs by average patient experience, 8 were reclassified into or out of the top or bottom quartiles of average experience with expanded as compared to standard adjustment [14.3% (95% CI: 7.0-25.2%)]., Conclusions: Widely used methods for measuring PCP-level patient experience may not account sufficiently for influential patient characteristics. If methods were adapted to account for these characteristics, patient sample sizes for reliable between-physician comparisons may be too large for most practices to obtain.

The health of rural America is failing and our traditional approaches have proved ineffective at improving health in rural communities. Rural populations are now a health disparity population, facing higher mortality rates for the 5 leading causes of death compared with their urban counterparts. We must generate novel, rural-specific approaches to solve this challenge-and there is a clear role for the field of emergency medicine. Building on emergency departments' (EDs') expanding role in health care delivery and emergency medicine's increasing involvement in population health, we propose a new health care delivery model for rural population health based on partnership between emergency medicine and primary care that embraces the important role that EDs play in rural areas., (Copyright © 2017 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Objectives: The primary healthcarecentre (PHCC) is the first place that medical students experience patient contact. Usually, medical students are frustrated by a lack of proper skills training for on-campus history taking (HT), physical examination (PE) and self-directed learning (SDL) to prepare for their PHCC and inhospital patient contact. For pre-clerks, this study aims to compare the effectiveness of PHCC training and PHCC training in combination with on-campus HT and PE training modules (PHCC+on-campus) on their clerkship preparedness., Design: This comparative study utilised prospective, consecutive, end of pre-clerkship group objective structured clinical examination (GOSCE), beginning of clerkship OSCE and self-administered Preparation for Hospital Practice Questionnaire (PHPQ)., Setting/participants: 128 pre-clinical clerk volunteers (64 each year) receiving PHCC training (7 week PHCCtraining in addition to 7 week assignment based group learning, academic year 2014, controls) and PHCC training in combination with on-campus module training (academic year 2015, 7 week PHCCtraining in addition to 7 week on-campus sessions) were sequentially assessed before the module (week 1), at the end of the module (week 14) and at the beginning of clerkship (week 25)., Results: For overall HT and PE skills, both PHCC and PHCC+on-campus module trained pre-clerks performed better on OSCE than GOSCE. Additionally, the improvement was accompanied by higher self-reported PHPQ scores in 'confidence/coping' and 'SDL' domains. At the end of the pre-clerkship and the beginning of the clerkship stages, the degree of improvement in preparedness in 'confidence/coping' and 'SDL' domains was higher for those in the PHCC+on-campus group than for those in the PHCC group. Among the PHCC+on-campus module participants, a positive association was observed between high mean PHPQ-SDL scores and high OSCE scores., Conclusions: Our study suggests that the PHCC+on-campus module, which is paired faculty led and pre-trained dyad student assisted, is effective in developing a preclinical clerk's HT and PE skills and intensifying SDL/patient management abilities to prepare for hospital practice in clerkship., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Purpose: Risk-stratified care management is essential to improving population health in primary care settings, but evidence is limited on the type of risk stratification method and its association with care management services., Methods: We describe risk stratification patterns and association with care management services for primary care practices in the Comprehensive Primary Care (CPC) initiative. We undertook a qualitative approach to categorize risk stratification methods being used by CPC practices and tested whether these stratification methods were associated with delivery of care management services., Results: CPC practices reported using 4 primary methods to stratify risk for their patient populations: a practice-developed algorithm (n = 215), the American Academy of Family Physicians' clinical algorithm (n = 155), payer claims and electronic health records (n = 62), and clinical intuition (n = 52). CPC practices using practice-developed algorithm identified the most number of high-risk patients per primary care physician (282 patients, P = .006). CPC practices using clinical intuition had the most high-risk patients in care management and a greater proportion of high-risk patients receiving care management per primary care physician (91 patients and 48%, P =.036 and P =.128, respectively)., Conclusions: CPC practices used 4 primary methods to identify high-risk patients. Although practices that developed their own algorithm identified the greatest number of high-risk patients, practices that used clinical intuition connected the greatest proportion of patients to care management services., Competing Interests: Conflicts of interest: authors report none., (© 2017 Annals of Family Medicine, Inc.)

Capitated payments in the form of fixed monthly payments to cover all of the costs associated with delivering primary care could encourage primary care practices to transform the way they deliver care. Using a microsimulation model incorporating data from 969 US practices, we sought to understand whether shifting to team- and non-visit-based care is financially sustainable for practices under traditional fee-for-service, capitated payment, or a mix of the two. Practice revenues and costs were computed for fee-for-service payments and a range of capitated payments, before and after the substitution of team- and non-visit-based services for low-complexity in-person physician visits. The substitution produced financial losses for simulated practices under fee-for-service payment of $42,398 per full-time-equivalent physician per year; however, substitution produced financial gains under capitated payment in 95 percent of cases, if more than 63 percent of annual payments were capitated. Shifting to capitated payment might create an incentive for practices to increase their delivery of team- and non-visit-based primary care, if capitated payment levels were sufficiently high., (Project HOPE—The People-to-People Health Foundation, Inc.)

Objective: Through an academic-community partnership with a statewide consortium of health centers (HCs) in Michigan, we characterize the current scope of screening for social determinants of health (SDH)., Methods: We requested copies of forms used to screen for SDH at the 39 HC organizations in Michigan. Using content analysis, we examined variation in screening domains and processes. We present descriptive analyses of HC characteristics and patient demographics., Results: We received screening documentation from 23 of the 39 HCs (59%), representing 167 delivery sites. We found broad empiric consensus regarding a core set of 13 SDH screening domains that align with nationally recommended screening guidelines. Two additional domains, Culture and Functional Status, were screened for by <40% of HCs. While patient self-report is the most frequent mode of SDH screening (41%), many HCs use staff members to administer the screening documents., Conclusions: HCs across a large and diverse state are screening for SDH and largely agree on core SDH screening domains. Using existing empiric data from frontline providers can inform potential best practices in SDH screening., Competing Interests: Conflict of interest: none declared., (© Copyright 2017 by the American Board of Family Medicine.)

Importance: Hospital-employed physicians provide primary care within the hospital or within community-based office practices. Yet, little is understood regarding the influence of hospital location and ownership on the delivery of low-value care., Objective: To assess the association of hospital location and hospital ownership with the provision of low-value health services., Design, Setting, and Participants: This study compared low-value service use after primary care visits at hospital-based outpatient practices from January 1, 1997, to December 31, 2011, vs community-based office practices and at hospital-owned vs physician-owned community-based office practices from January 1, 1997, to December 31, 2013. Logistic regression models adjusted for patient and health care professional characteristics and year, and weighted results were used to reflect population estimates. Results were also stratified by symptom acuity and whether a generalist physician (eg, general internist or family practitioner) was the patient's primary care provider. This study used nationally representative data from the National Ambulatory Medical Care Survey (January 1, 1997, to December 31, 2013) and the National Hospital Ambulatory Medical Care Survey (January 1, 1997, to December 31, 2011) on outpatient visits to generalist physicians. Participants were patients seen with 3 common primary care conditions, namely, upper respiratory tract infection, back pain, and headache., Main Outcomes and Measures: The use of antibiotics (for upper respiratory tract infection), computed tomography or magnetic resonance imaging (for back pain and headache), radiographs (for upper respiratory tract infection and back pain), and specialty referrals (for all 3 conditions)., Results: This study identified 31 162 visits for upper respiratory tract infection, back pain, and headache, representing an estimated 739 million US primary care visits from 1997 to 2013. Compared with visits with community-based physicians, patients in visits to hospital-based physicians were younger (mean age, 44.5 vs 49.1 years; P < .001) and less frequently saw their primary care provider (52.7% vs 81.9%, P < .001). Although antibiotic use was similar in both settings, hospital-based visits had more orders for computed tomography and magnetic resonance imaging (8.3% vs 6.3%, P = .01), radiographs (12.8% vs 9.9%, P < .001), and specialty referrals (19.0% vs 7.6%, P < .001) than community-based visits. Multivariable adjustment and symptom acuity stratification revealed similar findings. Visits with a generalist other than the patient's primary care provider were associated with greater provision of low-value care but mainly within hospital-based settings. Practice patterns were similar among hospital-owned vs physician-owned community-based practices with the exception of specialty referrals, which were more frequent in hospital-owned community-based practices., Conclusions and Relevance: Visits to US hospital-based practices are associated with greater use of low-value computed tomography and magnetic resonance imaging, radiographs, and specialty referrals than visits to community-based practices, and visits to hospital-owned community-based practices had more specialty referrals than visits to physician-owned community-based practices. These findings raise concerns about the provision of low-value care at hospital-associated primary care practices.

Adoption of new primary care models has been slow in academic teaching practices. We describe a common framework that academic learning collaboratives are using to transform primary care practice based on our analysis of 6 collaboratives nationally. We show that the work of the collaboratives could be divided into 3 phases and provide detail on the phases of work and a road map for those who seek to emulate this work. We found that learning collaboratives foster transformation, even in complex academic practices, but need specific support adapted to their unique challenges.