Role of Nurse Practitioners in Caring for Patients With Complex Health Needs.

OBJECTIVE: The objective of this study was to estimate trends in the percentage of Medicare beneficiaries cared for by nurse practitioners from 2012 to 2017, to characterize beneficiaries cared for by nurse practitioners in 2017, and to examine how the percentage of beneficiaries cared for by nurse practitioners varies by practice characteristics. DESIGN: An observational study of 2012-2017 Medicare fee-for-service beneficiaries' ambulatory visits. We computed the percentage of beneficiaries with 1 or more ambulatory visits from nurse practitioners and the percentage of beneficiaries receiving the plurality of their ambulatory visits from a nurse practitioner versus a physician (ie, predominant provider). We compared beneficiary demographics, clinical characteristics, and utilization by the predominant provider. We then characterized the predominant provider by practice characteristics. KEY RESULTS: In 2017, 28.9% of beneficiaries received any care from a nurse practitioner and 8.0% utilized nurse practitioners as their predominant provider-an increase from 4.4% in 2012. Among beneficiaries cared for by nurse practitioners in 2017, 25.9% had 3 or more chronic conditions compared with 20.8% of those cared for by physicians. Beneficiaries cared for in practices owned by health systems were more likely to have a nurse practitioner as their predominant provider compared with those attending practices that were independently owned (9.3% vs. 7.0%). CONCLUSIONS: Nurse practitioners are caring for Medicare beneficiaries with complex needs at rates that match or exceed their physician colleagues. The growing role of nurse practitioners, especially in health care systems, warrants attention as organizations embark on payment and delivery reform.

Assessment of Physician Priorities in Delivery of Preventive Care.

Importance: Primary care physicians have limited time to discuss preventive care, but it is unknown how they prioritize recommended services. Objective: To understand primary care physicians' prioritization of preventive services. Design, Setting, and Participants: This online survey was administered to primary care physicians in a large health care system from March 17 to May 12, 2017. Physicians were asked whether they prioritize preventive services and which factors contribute to their choice (5-point Likert scale). Results were analyzed from July 8, 2017, to September 19, 2019. Exposures: A 2 × 2 factorial design of 2 hypothetical patients: (1) a 50-year-old white woman with hypertension, type 2 diabetes, hyperlipidemia, obesity, a 30-pack-year history of smoking, and a family history of breast cancer; and (2) a 45-year-old black man with hypertension, hyperlipidemia, obesity, a 30-pack-year history of smoking, and a family history of colorectal cancer. Two visit lengths (40 minutes vs 20 minutes) were given. Each patient was eligible for at least 11 preventive services. Main Outcomes and Measures: Physicians rated their likelihood of discussing each service during the visit and reported their top 3 priorities for patients 1 and 2. Physician choices were compared with the preventive services most likely to improve life expectancy, using a previously published mathematical model. Results: Of 241 physicians, 137 responded (57%), of whom 74 (54%) were female and 85 (62%) were younger than 50 years. Physicians agreed they prioritized preventive services (mean score, 4.27 [95% CI, 4.12-4.42] of 5.00), mostly by ability to improve quality (4.56 [95% CI, 4.44-4.68] of 5.00) or length (4.53 [95% CI, 4.40-4.66] of 5.00) of life. Physicians reported more prioritization in the 20- vs 40-minute visit, indicating that they were likely to discuss fewer services during the shorter visit (median, 5 [interquartile range {IQR}, 3-8] vs 11 [IQR, 9-13] preventive services for patient 1, and 4 [IQR, 3-6] vs 9 [IQR, 8-11] for patient 2). Physicians reported similar top 3 priorities for both patients: smoking cessation, hypertension control, and glycemic control for patient 1 and smoking cessation, hypertension control, and colorectal cancer screening for patient 2. Physicians' top 3 priorities did not usually include diet and exercise or weight loss (ranked in their top 3 recommendations for either patient by only 48 physicians [35%]), although these were among the 3 preventive services most likely to improve life expectancy based on the mathematical model. Conclusions and Relevance: In this survey study, physicians prioritized preventive services under time constraints, but priorities did not vary across patients. Physicians did not prioritize lifestyle interventions despite large potential benefits. Future research should consider whether physicians and patients would benefit from guidance on preventive care priorities.

Using Machine Learning to Predict Primary Care and Advance Workforce Research.

PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data. METHODS: We used 2014-2016 prescription and procedure Medicare data to train 3 sets of random forest classifiers (prescription only, procedure only, and combined) to predict specialty. Self-reported specialties were condensed to 27 categories. Physicians were assigned to testing and training cohorts, and random forest models were trained and then applied to 2014-2016 data sets for the testing cohort to generate a series of specialty predictions. Comparing the predicted specialty to self-report, we assessed performance with F1 scores and area under the receiver operating characteristic curve (AUROC) values. RESULTS: A total of 564,986 physicians were included. The combined model had a greater aggregate (macro) F1 score (0.876) than the prescription-only (0.745; P <.01) or procedure-only (0.821; P <.01) model. Mean F1 scores across specialties in the combined model ranged from 0.533 to 0.987. The mean F1 score was 0.920 for primary care. The mean AUROC value for the combined model was 0.992, with values ranging from 0.982 to 0.999. The AUROC value for primary care was 0.982. CONCLUSIONS: This novel approach showed high performance and provides a near real-time assessment of current primary care practice. These findings have important implications for primary care workforce research in the absence of accurate data.

Trends in Primary Care Provision to Medicare Beneficiaries by Physicians, Nurse Practitioners, or Physician Assistants: 2008-2014.

OBJECTIVES: To document the temporal trends in alternative primary care models in which physicians, nurse practitioners (NPs), or physician assistants (PAs) engaged in care provision to the elderly, and examine the role of these models in serving elders with multiple chronic conditions and those residing in rural and health professional shortage areas (HPSAs). DESIGN: Serial cross-sectional analysis of Medicare claims data for years 2008, 2011, and 2014. SETTING: Primary care outpatient setting. PARTICIPANTS: Medicare fee-for-service beneficiaries who had at least 1 primary care office visit in each study year. The sample size is 2 471 498. MEASUREMENTS: Physician model-Medicare beneficiary's primary care office visits in a year were conducted exclusively by physicians; shared care model-conducted by a group of professionals that included physicians and either NPs or PAs or both; NP/PA model: conducted either by NPs or PAs or both. RESULTS: There was a decrease in the physician model (85.5% to 70.9%) and an increase in the shared care model (11.9% to 23.3%) and NP/PA model (2.7% to 5.9%) from 2008 to 2014. Compared with the physician model, the adjusted odds ratio (AOR) of receiving NP/PA care was 3.97 (95% CI 3.80-4.14) in rural and 1.26 (95% CI 1.23-1.29) in HPSAs; and the AOR of receiving shared care was 1.66 (95% CI 1.61-1.72) and 1.14 (95% CI 1.13-1.15), respectively. Beneficiaries with 3 or more chronic conditions were most likely to received shared care (AOR = 1.67, 95% CI 1.65-1.70). CONCLUSION: The increase in shared care practice signifies a shift toward bolstering capacity of the primary care delivery system to serve elderly populations with growing chronic disease burden and to improve access to care in rural and HPSAs.

High-risk prescribing in an Irish primary care population: trends and variation.

AIMS: The aims of the present study were to examine the prevalence of high-risk prescribing (HRP) in community-dwelling adults in Ireland from 2011-2015 using consensus-validated indicators, factors associated with HRP, and the variation in HRP between general practitioners (GPs) and in the dispensing of high-risk prescriptions between pharmacies. METHODS: A repeated cross-sectional national pharmacy claims database study was conducted. Prescribing indicators were based on those developed in formal consensus studies and applicable to pharmacy claims data. Multilevel logistic regression was used to examine factors associated with HRP and dispensing. RESULTS: There were significant reductions in the rates of most indicators over time (P < 0.001). A total of 66 022 of 300 906 patients at risk in 2011 [21.9%, 95% confidence interval (CI) 21.8, 22.1%], and 42 109 of 278 469 in 2015 (15.1%, 95% CI 15.0, 15.3%), received ≥1 high-risk prescription (P < 0.001). In 2015, indicators with the highest rates of HRP were prescription of a nonsteroidal anti-inflammatory drug (NSAID) without gastroprotection in those ≥75 years (37.2% of those on NSAIDs), coprescription of warfarin and an antiplatelet agent or high-risk antibiotic (19.5% and 16.2% of those on warfarin, respectively) and prescription of digoxin ≥250 µg day-1 in those ≥65 years (14.0% of those on digoxin). Any HRP increased significantly with age and number of chronic medications (P < 0.001). a) After controlling for patient variables, the variation in the rate of HRP between GPs was significant (P < 0.05); and b) after controlling for patient variables and the prescribing GP, the variation in the rate of dispensing of high-risk prescriptions between pharmacies was significant (P < 0.05). CONCLUSIONS: HRP in Ireland has declined over time, although some indicators persist. The variation between GPs and pharmacies suggests the potential for improvement in safe medicines use in community care, particularly in vulnerable older populations.

Primary care requests for anaemia chemistry tests in Spain: potential iron, transferrin and folate over-requesting.

AIM: To study the regional variability of requests for anaemia chemistry tests in primary care in Spain and the associated economic costs of potential over-requesting. METHODS: Requests for anaemia tests were examined in a cross-sectional study. Clinical laboratories from different autonomous communities (AACCs) were invited to report on primary care anaemia chemistry tests requested during 2014. Demand for iron, ferritin, vitamin B12 and folate tests per 1000 inhabitants and the ratios of the folate/vitamin B12 and transferrin/ferritin requests were compared between AACCs. We also calculated reagent costs and the number of iron, transferrin and folate tests and the economic saving if every AACC had obtained the results achieved by the AACC with best practice. RESULTS: 110 laboratories participated (59.8% of the Spanish population). More than 12 million tests were requested, resulting in reagent costs exceeding €16.5 million. The serum iron test was the most often requested, and the ferritin test was the most costly (over €7 million). Close to €4.5 million could potentially have been saved if iron, transferrin and folate had been appropriately requested (€6 million when extrapolated to the whole Spanish population). CONCLUSIONS: The demand for and expenditure on anaemia chemistry tests in primary care in Spain is high, with significant regional differences between different AACCs.

Physician Consolidation: Rapid Movement From Small To Large Group Practices, 2013-15.

In the past few decades there has been a trend of physicians moving from smaller to larger group practices. We found that this trend continued in the period 2013-15. Primary care physicians have made this change at a much faster pace than specialists have.

[Relations with emergency medical care and primary care doctor, home health care].

Medical care for an ultra-aging society has been shifted from hospital-centered to local community-based. This shift has yielded the so-called Integrated Community Care System. In the system, emergency medical care is considered important, as primary care doctors and home health care providers play a crucial role in coordinating with the department of emergency medicine. Since the patients move depending on their physical condition, a hospital and a community should collaborate in providing a circulating service. The revision of the medical payment system in 2014 clearly states the importance of "functional differentiation and strengthen and coordination of medical institutions, improvement of home health care". As part of the revision, the subacute care unit has been integrated into the community care unit, which is expected to have more than one role in community coordination. The medical fee has been set for the purpose of promoting the home medical care visit, and enhancing the capability of family doctors. In the section of end-of-life care for the elderly, there have been many issues such as reduction of the readmission rate and endorsement of a patient's decision-making, and judgment for active emergency medical care for patient admission. The concept of frailty as an indicator of prognosis has been introduced, which might be applied to the future of emergency medicine. As described above, the importance of a primary doctor and a family doctor should be identified more in the future; thereby it becomes essential for doctors to closely work with the hospital. Advancing the cooperation between a hospital and a community for seamless patient-centered care, the emergency medicine as an integrated community care will further develop by adapting to an ultra-aging society.

[Prevention of noncommunicable diseases in a local therapist's practice: content, problems, solution ways, and prospects].

High-risk and secondary prevention strategies for noncommunicable diseases in primary health care are mainly implemented by local therapists. The large-scale clinical examination of an adult population (a high-risk strategy), which has been launched in the country since 2013 to solve the problems of detecting people with noncommunicable diseases and their risk factors and making a prevention counseling, is simultaneously a mechanism for the formation of a full therapeutic area passport to identify follow-up groups (a secondary prevention strategy). Currently, there is an obviously insufficient follow-up of inadequate quality. The reasons for this situation are a lack of regular training of local doctors in follow-up in addition to staff shortages. Medical teachers and professional communities working on the basis of common guidelines must be attracted to solve this problem. The actual introduction of a local therapist's efficient performance measures, the setting up of special structures in charge of primary care prevention in the health authorities, and the active involvement of medical prevention and health centers (for people at high risk in the absence of proven non-communicable diseases) in this process will be able to enhance the efficiency of a follow-up. Information technologies, including a tele-follow-up, are an important reserve in implementing the high-risk and secondary prevention strategies.

Characteristics of primary care providers who adopted the hospitalist model from 2001 to 2009.

BACKGROUND: The characteristics of primary care providers (PCPs) who use hospitalists are unknown. METHODS: Retrospective study using 100% Texas Medicare claims from 2001 through 2009. Descriptive statistics characterized proportion of PCPs using hospitalists over time. Trajectory analysis and multilevel models of 1172 PCPs with ≥20 inpatients in every study year characterized how PCPs adopted the hospitalist model and PCP factors associated with this transition. RESULTS: Hospitalist use increased between 2001 and 2009. PCPs who adopted the hospitalist model transitioned rapidly. In multilevel models, hospitalist use was associated with US training (odds ratio [OR] 1.46, 95% confidence interval [CI]: 1.23-1.73 in 2007-2009), family medicine specialty (OR: 1.46, 95% CI: 1.25-1.70 in 2007-2009), and having high outpatient volumes (OR: 1.32, 95% CI: 1.20-1.44 in 2007-2009). Over time, relative hospitalist use decreased among female PCPs (OR: 1.91, 95% CI: 1.46-2.50 in 2001-2003; OR: 1.50, 95% CI: 1.15-1.95 in 2007-2009), those in urban locations (OR: 3.34, 95% CI: 2.72-4.09 in 2001-2003; OR: 2.22, 95% CI: 1.82-2.71 in 2007-2009), and those with higher inpatient volumes (OR: 1.05, 95% CI: 0.95-1.18 in 2001-2003; OR: 0.55, 95% CI: 0.51-0.60 in 2007-2009). Longest-practicing PCPs were more likely to transition in the early 2000s, but this effect disappeared by the end of the study period (OR: 1.35, 95% CI: 1.06-1.72 in 2001-2003; OR: 0.92, 95% CI: 0.73-1.17 in 2007-2009). PCPs with practice panels dominated by patients who were white, male, or had comorbidities are more likely to use hospitalists. CONCLUSIONS: PCP characteristics are associated with hospitalist use. The association between PCP characteristics and hospitalist use has evolved over time.

Evaluating the role of primary care physicians in the treatment of latent tuberculosis: a population study.

SETTING: Latent tuberculous infection (LTBI) remains a significant source of new active tuberculosis cases. Recent guidelines encourage primary care physicians to prescribe LTBI treatment; however, there have been no investigations into the impact on treatment completion. OBJECTIVE: To estimate LTBI treatment initiation and completion rates by primary care physicians. DESIGN: A historical cohort study was conducted with Quebec residents dispensed isoniazid (INH) between 1 January 1998 and 31 December 2005. Information was obtained from administrative health insurance data. Regression modeling was used to estimate the association of completion rates with prescribing physician specialty, after adjustment for initial health status and other patient characteristics. RESULTS: A total of 14,753 people were dispensed INH for LTBI treatment. Primary care physicians initiated 3863 (26%) treatments. This proportion decreased from 28.7% in 1998 to 21.1% in 2005. Patients initiated on treatment by primary care physicians were less likely to complete treatment (OR 0.79, 95%CI 0.72-0.86). Only 5977 (40.5%) patients completed treatment; the average treatment duration of the primary care physician group was 11 days less (P < 0.0001). CONCLUSION: Primary care physicians initiated a substantial number of LTBI treatments, but less than half of patients completed treatment regardless of the physician specialty. Primary care physicians should be supported to enhance treatment completion.

Attitudes about providing HIV care: voices from publicly funded clinics in California.

BACKGROUND: As the enactment of health care reform becomes a reality in the USA, it has been widely predicted that HIV+ patients will increasingly be cared for by primary care physicians (PCPs), many of whom lack the experience to deliver full-spectrum HIV care. OBJECTIVE: To describe PCPs' preparedness for an influx of HIV+ patients. METHODS: This qualitative study included interviews with 20 PCPs from community health centres in California. We inquired about clinicians' experiences with HIV, their strategies for dealing with unfamiliar aspects of medicine and their management of complicated patients. We also identified the clinicians' preferred types of information and consultation resources. RESULTS: PCPs are not yet comfortable as providers of comprehensive HIV care; however, they are dedicated to delivering excellent care to all of their patients, regardless of disease process. Although they prefer to refer HIV+ patients to centres of excellence, they are willing to adopt full responsibility when necessary and believe they can deliver high-quality HIV care if provided with adequate consultation and informational resources. CONCLUSIONS: The Affordable Care Act will insure an estimated 20000 more HIV+ patients in California. With a dwindling supply of HIV specialists, many of these patients will be principally cared for by PCPs. PCPs will go to great lengths to ensure that HIV+ patients receive superior care, but they need the support of HIV specialists to expand their skills. Priority should be given to ensuring that expert consultation is widely available to PCPs who find themselves caring for HIV+ patients.

Higher practice intensity is associated with higher quality of care but more avoidable admissions for medicare beneficiaries.

BACKGROUND: The relationship between practice intensity and the quality and outcomes of care has not been studied. OBJECTIVE: To examine the relationship between primary care physicians' costliness both for defined episodes of care and for defined patients and the quality and outcomes of care delivered to Medicare beneficiaries. STUDY DESIGN: Cross sectional analysis of physician survey data linked to Medicare claims. Physician costliness measures were calculated by comparing the episode specific and overall costs of care for their patients with the care delivered by other physicians. PARTICIPANTS: We studied physicians participating in the 2004-2005 Community Tracking Study Physician Survey linked with administrative claims from the Medicare program for the years 2004-2006. MAIN MEASURES: Proportion of eligible beneficiaries receiving each of seven preventive services and rates of preventable admissions for acute and chronic conditions. KEY RESULTS: The 2,211 primary care physician respondents included 937 internists and 1,274 family or general physicians who were linked to more than 250,000 Medicare enrollees. Patients treated by more costly physicians (whether measured by the overall costliness index or the episode-level index) were more likely to receive recommended preventive services, but were also more likely to experience preventable admissions. For instance, physicians in the lowest quartile of costliness performed appropriate monitoring for hemoglobin A1C for diabetics 72.8% of the time, as compared with 81.9% for physicians in the highest quartile of costliness (p < 0.01). In contrast, patients treated by the physicians in the lowest quartile of episode costliness were admitted at a rate of 1.8/100 for both acute and chronic Prevention Quality Indicators (PQIs), as compared with 2.9/100 for both acute and chronic PQIs for those treated by physicians in the highest quartile of costliness (p < 0.001). CONCLUSIONS: Physician practice patterns are associated with the quality of preventive services delivered to Medicare patients. Ongoing efforts to influence physician practice patterns may have differential effects on different aspects of quality.

The impact of cost displays on primary care physician laboratory test ordering.

BACKGROUND: Physicians are under increased pressure to help control rising health care costs, though they lack information regarding cost implications of patient care decisions. OBJECTIVE: To evaluate the impact of real-time display of laboratory costs on primary care physician ordering of common laboratory tests in the outpatient setting. DESIGN: Interrupted time series analysis with a parallel control group. PARTICIPANTS: Two hundred and fifteen primary care physicians (153 intervention and 62 control) using a common electronic health record between April 2010 and November 2011. The setting was an alliance of five multispecialty group practices in Massachusetts. INTERVENTION: The average Medicare reimbursement rate for 27 laboratory tests was displayed within an electronic health record at the time of ordering, including 21 lower cost tests (< $40.00) and six higher cost tests (> $40.00). MAIN MEASURES: We compared the change-in-slope of the monthly laboratory ordering rate between intervention and control physicians for 12 months pre-intervention and 6 months post-intervention. We surveyed all intervention and control physicians at 6 months post-intervention to assess attitudes regarding costs and cost displays. KEY RESULTS: Among 27 laboratory tests, intervention physicians demonstrated a significant decrease in ordering rates compared to control physicians for five (19%) tests. This included a significant relative decrease in ordering rates for four of 21 (19%) lower cost laboratory tests and one of six (17%) higher cost laboratory tests. A majority (81%) of physicians reported that the intervention improved their knowledge of the relative costs of laboratory tests. CONCLUSIONS: Real-time display of cost information in an electronic health record can lead to a modest reduction in ordering of laboratory tests, and is well received. Our study demonstrates that electronic health records can serve as a tool to promote cost transparency and reduce laboratory test use.

Physician response to pay-for-performance: evidence from a natural experiment.

This study exploits a natural experiment in the province of Ontario, Canada, to identify the impact of pay-for-performance (P4P) incentives on the provision of targeted primary care services and whether physicians' responses differ by age, size of patient population, and baseline compliance level. We use administrative data that cover the full population of Ontario and nearly all the services provided by primary care physicians. We employ a difference-in-differences approach that controls for selection on observables and selection on unobservables that may cause estimation bias. We implement a set of robustness checks to control for confounding from other contemporaneous interventions of the primary care reform in Ontario. The results indicate that responses were modest and that physicians responded to the financial incentives for some services but not others. The results provide a cautionary message regarding the effectiveness of employing P4P to increase the quality of health care.

Where are we on the diffusion curve? Trends and drivers of primary care physicians' use of health information technology.

OBJECTIVE: To describe trends in primary care physicians' use of health information technology (HIT) between 2009 and 2012, examine practice characteristics associated with greater HIT capacity in 2012, and explore factors such as delivery system and payment reforms that may affect adoption and functionality. DATA: We used data from the 2012 and 2009 Commonwealth Fund International Health Policy Surveys of Primary Care Physicians. The data were collected in both years by postal mail between March and July among a nationally representative sample of primary care physicians in the United States. STUDY DESIGN: We compared primary care physicians' HIT capacity in 2009 and 2012. We employed multivariable logistic regression to analyze whether participating in an integrated delivery system, sharing resources and support with other practices, and being eligible for financial incentives were associated with greater HIT capacity in 2012. PRINCIPAL FINDINGS: Primary care physicians' HIT capacity has significantly expanded since 2009, although solo practices continue to lag. Practices that are part of an integrated delivery system or share resources with other practices have higher rates of electronic medical record (EMR) adoption, multifunctional HIT, electronic information exchange, and electronic access for patients. Receiving or being eligible for financial incentives is associated with greater adoption of EMRs and information exchange. CONCLUSIONS: Federal efforts to increase adoption have coincided with a rapid increase in HIT capacity. Delivery system and payment reforms and federally funded extension programs could offer promising pathways for further diffusion.