Primary Care Physician Characteristics Research Articles

Socioeconomic, health-related, and primary care physician characteristics associated with adherence to seasonal influenza vaccination in Manitoba, Canada: A population-wide record-linkage cohort study.

There is a lack of published evidence on factors associated with adherence (maintenance of cumulative vaccination) to seasonal influenza vaccination (SIV) in Manitoba, Canada. We sought to assess the associations. A cohort study utilizing Manitoba administrative health databases. Participants received SIV in 2010/11 influenza season, remained registered Manitoba residents and received at least one SIV during the 2011/12‒2019/20 seasons. We dichotomized adherence into "more adherent" (6‒9 SIVs) and "less adherent" (1‒5 SIVs) and used multivariable adjusted generalized estimating equation logistic regression models to assess association between adherence and socioeconomic, health-related, and primary care physician (PCP) characteristics, stratified by age group (< 5, 5‒17, 18‒44, 45‒64, ≥ 65) and sex. Results are adjusted odds ratios with 95% confidence intervals. There were 152,493 participants. Males had lower odds of being more adherent except among ≥ 65-year-olds (1.03, 95% CI 1.01‒1.05). Compared with the lowest income quintile, those in higher income quintiles had higher odds of being more adherent. The odds mostly increased with increase in income quintile. Those with more contact with their PCP/hospitalization one year prior had higher odds of being more adherent. The odds increased with increased contact among those 18‒44, 45‒64 and ≥ 65years old. Those who had PCP with more years of practice had higher odds of being more adherent. The odds increased as years of practice increased. These observations were mostly consistent irrespective of sex. Female gender, having higher income, having more contact with the health system, and having an experienced PCP may determine increased adherence to SIV in Manitoba. These findings require attention.

Primary Care Physician Preferences Regarding Communication from Orthopaedic Surgeons.

Musculoskeletal consultations constitute a growing portion of primary care physician (PCP) referrals. Optimizing communication between PCPs and orthopaedists can potentially reduce time spent in the electronic medical record (EMR) as well as physician burnout. Little is known about the preferences of PCPs regarding communication from orthopaedic surgeons. Hence, the present study investigated, across a large health network, the preferences of PCPs regarding communication from orthopaedists. A total of 175 PCPs across 15 practices within our health network were surveyed. These providers universally utilized Epic as their EMR platform. Five-point, labeled Likert scales were utilized to assess the PCP-perceived importance of communication from orthopaedists in specific clinical scenarios. PCPs were further asked to report their preferred method of communication in each scenario and their overall interest in communication from orthopaedists. Logistic regression analyses were performed to determine whether any PCP characteristics were associated with the preferred method of communication and the overall PCP interest in communication from orthopaedists. A total of 107 PCPs (61.1%) responded to the survey. PCPs most commonly rated communication from orthopaedists as highly important in the scenario of an orthopaedist needing information from the PCP. In this scenario, PCPs preferred to receive an Epic Staff Message. Scenarios involving a recommendation for surgery, hospitalization, or a major clinical change were also rated as highly important. In these scenarios, an Epic CC'd Chart rather than a Staff Message was preferred. Increased after-hours EMR use was associated with diminished odds of having a high interest in communication from orthopaedists (odds ratio, 0.65; 95% confidence interval, 0.48 to 0.88; p = 0.005). Ninety-three PCPs (86.9%) reported spending 1 to 1.5 hours or more per day in Epic after normal clinical hours, and 27 (25.2%) spent >3 hours per day. Forty-six PCPs (43.0%) reported experiencing ≥1 symptom of burnout. There were distinct preferences among PCPs regarding clinical communication from orthopaedic surgeons. There was also evidence of substantial burnout and after-hours work effort by PCPs. These results may help to optimize communication between PCPs and orthopaedists while reducing the amount of time that PCPs spend in the EMR.

Characteristics and determinants of seasonal influenza vaccination in Manitoba, Canada: A population-wide record-linkage study

BackgroundSeasonal influenza vaccine (SIV) uptake (receipt of vaccine) in Manitoba, Canada is consistently low notwithstanding vaccine availability and free-of-charge vaccination. Despite, there is a lack of published evidence on the determinants of uptake of the vaccine. We sought to assess the association between SIV uptake and certain population and primary care physician (PCP) characteristics in Manitoba. MethodsWe conducted a longitudinal study utilizing Manitoba administrative health databases. We summarized SIV uptake from 2000/01–2019/20 influenza seasons across subpopulations defined by socioeconomic, health-related and PCP characteristics. Utilizing multivariable generalized estimating equation logistic regression models, we assessed the association between SIV uptake and the socioeconomic, health-related and PCP characteristics, stratified by age group (<5-, 5–17-, 18–44-, 45–64-, ≥65-year-olds) and sex. Results are adjusted odds ratios with associated 95 % confidence intervals. ResultsSIV uptake percentage increased over time with 4.4 %, 13.1 %, 17.5 % and 21.7 % of < 5-year-olds, 2 %, 4.9 %, 9.7 % and 13.1 % of 5–17-year-olds, 5.4 %, 8.8 %, 10.7 % and 13.5 % of 18–44-year-olds, 16.8 %, 21.3 %, 23.6 % and 24.6 % of 45–64-year-olds receiving the SIV in 2000–2004, 2005–2009, 2010–2014 and 2015–2019, respectively. There was a decline among ≥ 65-year-olds from 58.5 % to 53.5 %. We observed a similar pattern across subpopulations. There were significantly increased odds of SIV uptake among females within the age groups ≥ 18 years, in higher income quintiles, mostly with increased contact with a PCP/hospitalization within age groups ≥ 18 years, among those who had older or female PCPs (the opposite observation among ≥ 65-year-olds) and whose PCP administered at least one SIV in prior influenza season. These observations were largely consistent irrespective of sex. ConclusionSIV uptake in Manitoba appears to increase with age, and many socioeconomic, health-related and PCP characteristics appear to be associated with it. These findings may inform targeted vaccination programs to optimize influenza vaccination in Manitoba and similar Canadian jurisdictions.

Association of primary care visit length with outpatient utilization, continuity, and care processes.

Little is known about how variation in the scheduled length of primary care visits can impact patients' patterns of health care utilization. To evaluate how the scheduled length of in-person visits with primary care physicians (PCPs) was associated with PCP and patient characteristics, outpatient utilization, and preventive care receipt. This retrospective cohort study examined data from a large American academic health system. PCP visit length template was defined as either 15- and 30-min scheduled appointments (i.e. 15/30), or 20- and 40-min scheduled appointments (i.e. 20/40). Of 222 included PCPs, 85 (38.3%) used the 15/30 template and 137 (61.7%) used the 20/40 template. The 15/30 group had higher proportions of male (49.4%, vs. 35.8% in the 20/40 group) and family medicine (37.6% vs. 21.2%) physicians. In adjusted patient-level analysis (N = 238,806), having a 15/30 PCP was associated with 9% more primary care visits (incidence rate ratio [IRR], 1.09; 95% confidence interval [CI], 1.03-1.14), and 8% fewer specialty care visits (IRR, 0.92; 95% CI, 0.86-0.98). PCP visit length template was not associated with significant differences in obstetrics/gynaecology visits, continuity of care, or preventive care receipt. In interaction analyses, having a 15/30 PCP was associated with additional primary care visits among non-Hispanic White patients (IRR, 1.10; 95% CI, 1.04-1.16) but not among non-Hispanic Black patients. PCPs' choices about the scheduled length of in-person visits may impact their patients' specialty care use, and have varying impacts across different racial/ethnic groups.

Primary Care Physicians’ Preferences Regarding Communication from Orthopaedic Providers

Category: Other Introduction/Purpose: Musculoskeletal consultations constitute a growing portion of primary care physician (PCP) referrals. Optimization of communication between PCPs and orthopaedists can potentially reduce the time PCPs spend in the electronic medical record (EMR). This, in turn, may help reduce burnout. However, little is known about the preferences of PCPs regarding communication from orthopaedic specialists. The current study therefore investigated the preferences of PCPs across a large health network regarding communication from orthopaedists. Methods: One hundred and seventy-five PCPs across 15 practices within our health network were surveyed. These providers universally used the Epic Systems EMR. PCPs were asked to report their years in practice, panel size, typical number of electronic clinical messages received each day, time spent in the EMR after normal clinical hours, and burnout level. Likert scales and top-box scores were used to assess the PCPs’ perceived importance of communication from orthopedists in specific clinical scenarios. PCPs were further asked to report their preferred method of communication in each scenario and overall interest in communication from orthopaedists. Regression analyses were performed to determine if any PCP characteristics are associated with communication preferences and overall PCP interest in communication from orthopaedists. Results: A total of 107 (61%) PCPs completed the survey. PCPs most commonly rated communication from orthopaedists as highly important when the orthopaedist needed information from the PCP. In this scenario, PCPs preferred to receive an Epic Staff Message. Other scenarios rated as important included: the decision for surgery, hospitalization, and a major clinical change. In these scenarios, a CC’d Chart rather than Staff Message was preferred. Increased EMR use after-hours was associated with diminished odds of having high interest in communication from orthopaedists (odds ratio=0.65, 95% confidence interval: 0.48-0.88, P=0.005). Ninety-three PCPs (86.9%) reported spending at least 1 hour a day in Epic after normal clinical hours. Twenty-seven (25.2%) spent more than 3 hours. Forty-six PCPs (42.9%) reported experiencing at least one symptom of burnout. Conclusion: In the current study, there were distinct preferences among PCPs regarding clinical communication from orthopaedic surgeons. In addition, there was evidence of substantial burnout and after-hours work effort by PCPs. Our results may be helpful in optimizing communication between PCPs and orthopaedists, while also reducing time spent in the EMR by PCPs.

Characteristics of Family Physicians Delivering Home Visits: A Canadian Retrospective Cohort Study

<h2>Abstract</h2><h3>Context</h3> Home visits have become increasingly uncommon although evidence suggests they improve healthcare quality and reduce overall expenditures<b>.</b> This study identifies the primary care physicians delivering home visits at patients' end of life in Ontario, Canada, describes characteristics of primary care physicians delivering end-of-life home visits, and explores associations with delivery. <h3>Objectives</h3> Identify the primary care physicians delivering home visits at patients' end of life in Ontario, Canada, describe characteristics of primary care physicians delivering end-of-life home visits, and explore associations with delivery. <h3>Methods</h3> A retrospective cohort design using population-level health administrative data housed at ICES. The cohort was composed of primary care physicians in Ontario, Canada between April 1, 2014 and March 31, 2019, who were registered in the College of Physicians and Surgeons of Ontario database dataset on or after January 1, 1990 and as of March 31, 2016. <h3>Results</h3> A total of 9884 physicians were identified, of which 2568 (25.7%) delivered at least one end-of-life home visit. Physician characteristics showing increased odds ratio (OR) of home visit delivery were older age (OR 1.01 [95% Confidence Interval (CI): 1.00–1.02]) international training (OR 1.28 [95% CI:1.04–1.59]), previous home visit experience (OR 1.02 [95% CI: 1.01–1.02]), capitation models of remuneration; namely enhanced fee-for-service models (OR 1.5 [95%CI: 1.17–2.00]) and mainly capitation model (OR 1.4 [95% CI:1.11–1.79]), and population size of practice location with highest odds in small rural or remote areas (<9000 residents) (OR 1.38 [95%CI: 1.02–1.88]) and large metropolitan areas (OR 1.84 [95%CI: 1.46–2.57]). <h3>Conclusion</h3> This research confirms previous evidence and identifies novel primary care physicians' characteristics associated with home visit practice patterns. Furthermore, it highlights characteristics amenable to policy or system-level changes (e.g., remuneration model, training, and experience) that could increase the provision of home visits which may greatly improve the dying experience of Canadians.

Latent Class Analysis of Prescribing Behavior of Primary Care Physicians in the Veterans Health Administration.

Benzodiazepines, opioids, proton-pump inhibitors (PPIs), and antibiotics are frequently prescribed inappropriately by primary care physicians (PCPs), without sufficient consideration of alternative options or adverse effects. We hypothesized that distinct groups of PCPs could be identified based on their propensity to prescribe these medications. To identify PCP groups based on their propensity to prescribe benzodiazepines, opioids, PPIs, and antibiotics, and patient and PCP characteristics associated with identified prescribing patterns. Retrospective cohort study using VA data and latent class regression analyses to identify prescribing patterns among PCPs and examine the association of patient and PCP characteristics with class membership. A total of 2524 full-time PCPs and their patient panels (n = 2,939,636 patients), from January 1, 2017, to December 31, 2018. We categorized PCPs based on prescribing volume quartiles for the four drug classes, based on total days' supply dispensed of each medication by the PCP to their patients (expressed as days' supply per 1000 panel patient-days). We used latent class analysis to group PCPs based on prescribing and used multinomial logistic regression to examine patient and PCP characteristics associated with latent class membership. PCPs were categorized into four groups (latent classes): low intensity (23% of cohort), medium-intensity overall/high-intensity PPI (36%), medium-intensity overall/high-intensity opioid (20%), and high intensity (21%). PCPs in the high-intensity group were predominantly in the highest quartile of prescribers for all four drugs (68% in the highest quartile for benzodiazepine, 86% opioids, 64% PPIs, 62% antibiotics). High-intensity PCPs (vs. low intensity) were substantially less likely to be female (OR: 0.30, 95% CI: 0.21-0.42) or practice in the northeast versus other census regions (OR: 0.10, 95% CI: 0.06-0.17). VA PCPs can be classified into four clearly differentiated groups based on their prescribing of benzodiazepines, opioids, PPIs, and antibiotics, suggesting an underlying typology of prescribing. High-intensity PCPs were more likely to be male.

Alcohol Screening and Brief Intervention: Office-Based Primary Care Physicians, U.S., 2015–2016

In 2013, the U.S. Preventive Services Task Force again recommended alcohol misuse screening and provision of brief behavioral counseling interventions to those engaged in risky drinking for all adults aged ≥18 years in primary care. This report presents national estimates of the provision of alcohol screening and brief intervention by U.S. primary care physicians, the screening methods, and the resources they identified as helpful in implementing alcohol/substance screening and intervention in primary care settings. Data included 876 self-identified primary care physicians from the Physician Induction Interview portion of the 2015-2016 National Ambulatory Medical Care Survey, an annual nationally representative sample survey of nonfederal, office-based physicians in the U.S., encompassing all the 50 states and the District of Columbia. Descriptive estimates (annualized percentages) of alcohol misuse screening were generated for selected primary care physician characteristics. Estimates of how primary care physicians reported screening, the frequency of brief intervention, and resources identified as helpful in the implementation of screening/intervention procedures were also generated. Two-tailed significance tests were used to determine the differences between the compared groups. Data analyses were conducted in 2019-2021. In total, 71.7% of office-based primary care physicians reported screening patients for alcohol misuse. Statistically significant differences in screening were observed geographically and by provider specialty. Less than 40% of primary care physicians who screened patients for alcohol misuse reported always intervening with patients who screened positive for risky alcohol use. Collection of data on resources that primary care physicians report as being helpful for alcohol/substance screening and intervention implementation may be useful in continuous improvement efforts.

Addressing Posttraumatic Stress Disorder in Primary Care: Primary Care Physicians' Knowledge, Confidence and Screening Practices Related to PTSD Among Military Populations.

Posttraumatic stress disorder (PTSD) is an undertreated psychological condition prevalent among service members and veterans. Members of the military community often raise mental health concerns in primary care settings. However, many primary care physicians (PCPs) lack training in PTSD within the military community and may be underprepared to discuss PTSD or trauma with patients. We assessed PCPs' knowledge of evidence-based PTSD screening and treatment practices, confidence in their abilities to provide clinical care around PTSD, and frequency of asking new patients about their military history. We also examined PCP characteristics related to these measures. We surveyed a national sample of 7426 PCPs to assess their PTSD knowledge, confidence, and military history screening practices. Data were analyzed using weighted multivariable regressions. Forty-three percent of PCPs reported they very often or always screened for military history and, on average, PCPs answered 41% of the PTSD knowledge items correctly. PCPs who rated their PTSD knowledge higher were more confident and more frequently screened for military history, but did not have higher knowledge scores compared with PCPs with lower self-assessed knowledge. Several PCP characteristics, such as sex, years of practice, and practice setting, predicted PTSD measures. PCPs have gaps in their knowledge and screening practices related to PTSD. The absence of a meaningful correlation of knowledge scores with PCP self-assessed knowledge or confidence suggests PCPs may not accurately rate their own knowledge. Targeted, evidence-based training on effective practices may promote PTSD clinical knowledge.

Sources of psychological distress among primary care physicians during the COVID-19 pandemic's first wave in Spain: a cross-sectional study.

The COVID-19 pandemic is affecting people worldwide. In Spain, the first wave was especially severe. This study aimed to identify sources and levels of distress among Spanish primary care physicians (PCPs) during the first wave of the pandemic (April 2020). A cross-sectional study was conducted using a survey that included sociodemographic data, a description of working conditions related to distress [such as gaps in training in protective measures, cleaning, and hygiene procedures in work setting, unavailability of personal protective equipments (PPEs) and COVID-19 RT-PCR test, and lack of staff due to be infected] and a validated scale, the 'Self-applied Acute Stress Scale' (EASE). The survey was answered by a non-probability sampling of PCPs working in family healthcare centres from different regions of Spain. Analysis of variance and multivariate linear regression analysis were performed. In all, out of 518 PCP participants, 123 (23.7%) obtained high psychological distress scores. Only half of them had received information about the appropriate use of PPE. PCP characteristics associated with higher levels of distress include female gender [1.69; 95% confidence interval (CI) 0.54, 2.84]; lack of training in protective measures (1.96; 95% CI 0.94, 2.99); unavailable COVID-19 RT-PCR for health care workers after quarantine or COVID-19 treatment (-0.77 (-1.52, -0.02). Reinforcing disinfection of the work environment (P < 0.05), availability of PPEs (P < 0.05), and no healthcare professional was infected (P < 0.05) were related to the lowest distress score. A better understanding of the sources of distress among PCPs could prevent its effect on future outbreaks.

Physician Work Hours and the Gender Pay Gap — Evidence from Primary Care

BackgroundThe gender gap in physician pay is often attributed in part to women working fewer hours than men, but evidence to date is limited by self-report and a lack of detail regarding clinical revenue and gender differences in practice style.MethodsUsing national all-payer claims and data from electronic health records, we conducted a cross-sectional analysis of 24.4 million primary care office visits in 2017 and performed comparisons between female and male physicians in the same practices. Our primary independent variable was physician gender; outcomes included visit revenue, visit counts, days worked, and observed visit time (interval between the initiation and the termination of a visit). We created multivariable regression models at the year, day, and visit level after adjustment for characteristics of the primary care physicians (PCPs), patients, and types of visit and for practice fixed effects.ResultsIn 2017, female PCPs generated 10.9% less revenue from office visits than their male counterparts (−$39,143.2; 95% confidence interval [CI], −53,523.0 to −24,763.4) and conducted 10.8% fewer visits (−330.5 visits; 95% CI, −406.6 to −254.3) over 2.6% fewer clinical days (−5.3 days; 95% CI, −7.7 to −3.0), after adjustment for age, academic degree, specialty, and number of sessions worked per week, yet spent 2.6% more observed time in visits that year than their male counterparts (1201.3 minutes; 95% CI, 184.7 to 2218.0). Per visit, after adjustment for PCP, patient, and visit characteristics, female PCPs generated equal revenue but spent 15.7% more time with a patient (2.4 minutes; 95% CI, 2.1 to 2.6). These results were consistent in subgroup analyses according to the gender and health status of the patients and the type and complexity of the visits.ConclusionsFemale PCPs generated less visit revenue than male colleagues in the same practices owing to a lower volume of visits, yet spent more time in direct patient care per visit, per day, and per year. (Funded in part by the Robert Wood Johnson Foundation.)

Primary Care Physician Characteristics Associated with Prescribing Potentially Inappropriate Medication for Elderly Patients: Medicare Part D Data.

Despite the high risk of adverse drug events associated with potentially inappropriate medications (PIMs), primary care physicians (PCPs) continue to prescribe them for the elderly. The objective of this study was to explore PIM prescribing behavior in relation to characteristics among PCPs practicing in the United States. We conducted a retrospective cohort study of PCPs in the 2013 to 2015 Medicare Part D Public Use File. We obtained physician characteristics from the 2015 American Medical Association (AMA) Masterfile. For each PCP, we calculated the ratio of primary care-relevant PIM claims to all drug claims (PIM rate) based on Beers Criteria. We used a multivariate regression model to assess the associations between physician characteristics and PIM rate. The study sample contained 111,461 PCPs who specialized in family medicine, internal medicine, general practice and geriatric medicine. Although the mean PIM rate was low at 4.9%, it varied widely across PCPs with the bottom quartile at 1.2% and the top quartile at 10.1%. PCPs in the top quartile were on average older, more likely to be male, have a DO degree, practice in the South, and have a smaller Medicare patient panel. A multivariate analysis confirmed that even after adjusting for patient panel characteristics, physician characteristics including gender, age, professional degree, specialty, practice location, practice size, and patient panel size were associated with PIM rate. Identifying PCPs with higher PIM rates can guide future interventions to increase safe prescribing for elderly populations.

Patient and primary care physician characteristics associated with billing incentives for chronic diseases in British Columbia: a retrospective cohort study.

Incentive payments for chronic diseases in British Columbia were intended to support primary care physicians in providing more comprehensive care, but research shows that not all physicians bill incentives and not all eligible patients have them billed on their behalf. We investigated patient and physician characteristics associated with billing incentives for chronic diseases in BC. We conducted a retrospective cohort analysis using linked administrative health data to examine community-based primary care physicians and patients with eligible chronic conditions in BC during 2010-2013. Descriptive analyses of patients and physicians compared 3 groups: no incentives in any of the 4 years, incentives in all 4 years, and incentives in any of the study years. We used hierarchical logistic regression models to identify the patient- and physician-level characteristics associated with billing incentives. Of 428 770 eligible patients, 142 475 (33.2%) had an incentive billed on their behalf in all 4 years, and 152 686 (35.6%) never did. Of 3936 physicians, 2625 (66.7%) billed at least 1 incentive in each of the 4 years, and 740 (18.8%) billed no incentives during the study period. The strongest predictors of having an incentive billed were the number of physician contacts a patient had (odds ratio [OR] for > 48 contacts 134.77, 95% confidence interval [CI] 112.27-161.78) and whether a physician had a large number of patients in his or her practice for whom incentives were billed (OR 42.38 [95% CI 34.55-52.00] for quartile 4 v. quartile 1). The findings suggest that primary care physicians bill incentives for patients based on whom they see most often rather than using a population health management approach to their practice.

National Survey of Primary Care Physicians' Knowledge, Practices, and Perceptions of Prediabetes.

Despite strong evidence and national policy supporting type 2 diabetes prevention, little is known about type 2 diabetes prevention in the primary care setting. Our objective was to assess primary care physicians' knowledge and practice regarding perceived barriers and potential interventions to improving management of prediabetes. Cross-sectional mailed survey. Nationally representative random sample of US primary care physicians (PCPs) identified from the American Medical Association Physician Masterfile. We assessed PCP knowledge, practice behaviors, and perceptions related to prediabetes. We performed chi-square and Fisher's exact tests to evaluate the association between PCP characteristics and the main survey outcomes. In total, 298 (33%) eligible participants returned the survey. PCPs had limited knowledge of risk factors for prediabetes screening, laboratory diagnostic criteria for prediabetes, and management recommendations for patients with prediabetes. Only 36% of PCPs refer patients to a diabetes prevention lifestyle change program as their initial management approach, while 43% discuss starting metformin for prediabetes. PCPs believed that barriers to type 2 diabetes prevention are both at the individual level (e.g., patients' lack of motivation) and at the system level (e.g., lack of weight loss resources). PCPs reported that increased access to and insurance coverage of type 2 diabetes prevention programs and coordination of referral of patients to these resources would facilitate type 2 diabetes preventive efforts. Addressing gaps in PCP knowledge may improve the identification and management of people with prediabetes, but system-level changes are necessary to support type 2 diabetes prevention in the primary care setting.

Primary Care Physician Characteristics Associated with Low Value Care Spending.

Previous work has shown that $210 billion may be spent annually on unnecessary medical services and has identified patient and hospital characteristics associated with low value care (LVC). However, little is known about the association between primary care physician (PCP) characteristics and LVC spending. The objective of this study was to assess this association. We performed a retrospective analysis by using Medicare claims data to identify LVC and American Medical Association Masterfile data for PCP characteristics. We included PCPs of adults aged 65 years and older who were enrolled in Medicare in 2011. We measured Medicare spending per attributed patient on 8 low value services. Our final sample contained 6,873 PCPs with 1,078,840 attributed patients. Lower per-patient LVC Medicare spending was associated with the following PCP characteristics: allopathic training, smaller Medicare patient panel, practiced family medicine, practiced in the Midwest region, were a recent graduate, or practiced in rural areas. The largest associations were seen in Medicare patient panel size and geographic region. The average per-patient LVC spending was $14.67. LVC spending among PCPs with small patient panels was $3.98 less per patient relative to those with larger panels. PCPs in the Midwest had $2.80 less per patient LVC spending than those in the Northeast. Our analysis suggests that LVC services are associated with specific PCP characteristics. Further research should assess the strength of these associations, and future policy efforts should focus on systemic interventions to reduce LVC spending.

Awareness of the atherosclerotic cardiovascular disease risk estimator among primary care physicians in a Medicare advantage plan

Background: The American College of Cardiology/American Heart Association (ACC/AHA) Atherosclerotic Cardiovascular Disease (ASCVD) Risk Estimator, an online calculator tool for primary prevention, can aid providers in assessing the 10-year and lifetime risks for ASCVD. Primary care physician (PCP) awareness of the ACC/AHA ASCVD Risk Estimator has not been adequately examined. Objective: To assess PCP awareness of the ACC/AHA ASCVD Risk Estimator. Methods: A survey was administered to PCPs during health plan provider network meetings in July 2016. The survey included questions regarding PCP awareness of the ACC/AHA ASCVD Risk Estimator, as well as location and predominant socioeconomic status of the patient population. Demographic and practice variables such as gender, race, ethnicity, age, years in practice, and specialty were collected. Risk Estimator awareness was determined overall, and group differences by PCP and practice characteristics were examined using chi-square tests for categorical variables, and t-tests for continuous variables. Results: A total of 214 out of 215 physicians from the health plan’s Southwest and Southeast Texas regions completed the survey. Among those surveyed, 57% indicated awareness of the ASCVD Risk Estimator. PCP awareness was significantly associated with the patients’ socioeconomic status, where physicians treating mostly the indigent patient population were more aware of the Risk Estimator compared to those treating mostly middle- and upper-class populations. Conclusion: Over 40% of those surveyed were unaware of the ASCVD Risk Estimator, indicating a need for education among PCPs as it pertains to improving patient care in high-risk CVD patients.

Physician Characteristics Associated With Ordering 4 Low-Value Screening Tests in Primary Care

Efforts to reduce low-value tests and treatments in primary care are often ineffective. These efforts typically target physicians broadly, most of whom order low-value care infrequently. To measure physician-level use rates of 4 low-value screening tests in primary care to investigate the presence and characteristics of primary care physicians who frequently order low-value care. A retrospective cohort study was conducted using administrative health care claims collected between April 1, 2012, and March 31, 2016, in Ontario, Canada. This study measured use of 4 low-value screening tests-repeated dual-energy x-ray absorptiometry (DXA) scans, electrocardiograms (ECGs), Papanicolaou (Pap) tests, and chest radiographs (CXRs)-among low-risk outpatients rostered to a common cohort of primary care physicians. Physician sex, years since medical school graduation, and primary care model. This study measured the number of tests to which a given physician ranked in the top quintile by ordering rate. The resulting cross-test score (range, 0-4) reflects a physician's propensity to order low-value care across screening tests. Physicians were then dichotomized into infrequent or isolated frequent users (score, 0 or 1, respectively) or generalized frequent users for 2 or more tests (score, ≥2). The final sample consisted of 2394 primary care physicians (mean [SD] age, 51.3 [10.0] years; 50.2% female), who were predominantly Canadian medical school graduates (1701 [71.1%]), far removed from medical school graduation (median, 25.3 years; interquartile range, 17.3-32.3 years), and reimbursed via fee-for-service in a family health group (1130 [47.2%]). They ordered 302 509 low-value screening tests (74 167 DXA scans, 179 855 ECGs, 19 906 Pap tests, and 28 581 CXRs) after 3 428 557 ordering opportunities. Within the cohort, generalized frequent users represented 18.4% (441 of 2394) of physicians but ordered 39.2% (118 665 of 302 509) of all low-value screening tests. Physicians who were male (odds ratio, 1.29; 95% CI, 1.01-1.64), further removed from medical school graduation (odds ratio, 1.03; 95% CI, 1.02-1.04), or in an enhanced fee-for-service payment model (family health group) vs a capitated payment model (family health team) (odds ratio, 2.04; 95% CI, 1.42-2.94) had increased odds of being generalized frequent users. This study identified a group of primary care physicians who frequently ordered low-value screening tests. Tailoring future interventions to these generalized frequent users might be an effective approach to reducing low-value care.

County and Physician Variation in Benzodiazepine Prescribing to Medicare Beneficiaries by Primary Care Physicians in the USA

Physicians widely prescribe benzodiazepines (BZD) despite well-recognized harms. To determine county and provider characteristics that predict high-intensity BZD prescribing by primary care physicians (PCPs) to Medicare beneficiaries. Cross-sectional analysis of the 2015 Medicare Part D Public Use Files (PUF). n = 122,054 PCPs who prescribed 37.3 billion medication days. Primary outcome was intensity of BZD prescribing (days prescribed/total medication days) at the county- and physician levels. PCP and county characteristics were derived from the Part D PUF, Area Health Resources Files, and County Health Rankings. Logistic regression determined the characteristics associated with high-intensity (top quartile) BZD prescribing. Beneficiaries were prescribed over 1.2 billion days of BZD in 2015, accounting for 2.3% of all medication days prescribed in Part D. Top quartile counties had 3.1 times higher BZD prescribing than the lowest (3.4% vs. 1.1%; F = 3293.8, df = 3, p < 0.001). Adjusting for county-level demographics and health care system characteristics (including supply of mental health providers), counties with more adults with at least some college had lower odds of high-intensity prescribing (per 5% increase, adjusted odds ratio [AOR] 0.80, 99% confidence interval (CI) 0.73-0.87, p < 0.001), as did higher income counties (per US$1000 increase, AOR 0.93, CI 0.91-0.95, p < 0.001). Top quartile PCPs prescribed at 6.5 times the rate of the bottom (3.9% vs. 0.6%; F = 63,910.2, df = 3, p < 0.001). High-intensity opioid prescribing (AOR 4.18, CI 3.90-4.48, p < 0.001) was the characteristic most strongly associated with BZD prescribing. BZD prescribing appears to vary across counties and providers and is related to non-patient characteristics. Further work is needed to understand how such non-clinical factors drive variation.

Prenatal Oral Health Counseling by Primary Care Physicians: Results of a National Survey.

Objectives Limited information exists on the extent oral health is addressed in the context of prenatal care. This study sought to investigate characteristics of primary care physicians (PCP) who provide oral health counseling to pregnant women. Methods The study relied upon data from the 2013 Survey of PCP on Oral Health. Provision of oral health counseling to pregnant women (sometimes vs. rarely/never) was the primary outcome. Covariates included respondents' demographic and practice characteristics, oral health-related training, knowledge, attitudes, preparedness and clinical behaviors. The analytical strategy included bivariate tests and multivariable Poisson regression modeling, accounting for the survey design; inference was based upon marginal effects estimation. Results Two-thirds of PCP (233 out of 366 respondents) reported providing oral health counseling to pregnant women. In bivariate comparisons, female PCP, PCP with oral health-specific instruction during medical training, favorable oral health-related attitudes, behaviors, preparedness, and knowledge were more likely to provide counseling (p < 0.05). Multivariable analyses confirmed the independent associations of female gender [marginal effect = + 9.7 percentage points (p.p.); 95% confidence interval (CI) = 0.0-19.0], years in practice (- 0.4 p.p. for each added year; 95% CI = - 0.09 to 0.0), oral health continuing education (+ 13.2 p.p.; 95% CI = 2.6-23.8), preparedness (+ 23.0 p.p.; 95% CI = 16.9-29.0) and oral health counseling of adult patients with other conditions (+ 8.8 p.p.; 95% CI = 4.6-13.3) with prenatal oral health counseling. Conclusions for Practice A considerable proportion of PCP nationwide counsel pregnant patients on oral health. Provider attributes including education and preparedness appear as promising targets for interventions aimed to enhance pregnant women's oral health and care.

Predictors of non-adherence to colorectal cancer screening among immigrants to Ontario, Canada: a population-based study

Though colorectal cancer (CRC) screening rates have increased over time in Ontario, Canada, immigrants continue to have lower rates of screening. This study examines the association between non-adherence to CRC screening and immigration, socio-demographic, healthcare utilization, and primary care physician characteristics among immigrants to Ontario. This is a population-based retrospective cross-sectional study that uses healthcare administrative databases housed at the Institute for Clinical Evaluative Sciences. Our cohort comprised immigrants aged 60 to 74 years who lived in Ontario on March 31, 2015 and who had been eligible for the Ontario Health Insurance Plan for at least 10 years. The outcome was lack of adherence to CRC screening with any modality (fecal occult blood test, flexible sigmoidoscopy, colonoscopy) on March 31, 2015. Our cohort contained 182,949 immigrants. Overall 70,134 (38%) individuals were not adherent to screening. Risk of non-adherence to CRC screening was higher among immigrants who were from low (adjusted relative risk [ARR] 1.35, 95%CI 1.28–1.42) or low-middle (ARR 1.27, 95%CI 1.24–1.30, population-attributable risk [PAR] 9.8%) income countries and refugees (ARR 1.09, 95%CI 1.06–1.11). Compared to those from the United States, Australia, and New Zealand, immigrants from most other world regions, particularly Eastern Europe and Central Asia (ARR 1.28, 95%CI 1.21–1.37), had higher risks of non-adherence. Non-immigration factors such as low healthcare use and lack of primary care enrolment also increased the risk of non-adherence to screening. These findings can be used to inform future efforts to improve uptake of CRC screening among immigrant groups.