Methodological Approaches to Understanding Causes of Health Disparities.

Understanding health disparity causes is an important first step toward developing policies or interventions to eliminate disparities, but their nature makes identifying and addressing their causes challenging. Potential causal factors are often correlated, making it difficult to distinguish their effects. These factors may exist at different organizational levels (e.g., individual, family, neighborhood), each of which needs to be appropriately conceptualized and measured. The processes that generate health disparities may include complex relationships with feedback loops and dynamic properties that traditional statistical models represent poorly. Because of this complexity, identifying disparities' causes and remedies requires integrating findings from multiple methodologies. We highlight analytic methods and designs, multilevel approaches, complex systems modeling techniques, and qualitative methods that should be more broadly employed and adapted to advance health disparities research and identify approaches to mitigate them.

Examining Drivers of Health Care Spending: Evidence on Self-referral Among a Privately Insured Population.

BACKGROUND: Despite the enactment of laws to restrict the practice of self-referral, exceptions in these prohibitions have enabled these arrangements to persist and proliferate. Most research documenting the effects of self-referral arrangements analyzed claims records from Medicare beneficiaries. Empirical evidence documenting the effects of self-referral on use of services and spending incurred by persons with private insurance is sparse. OBJECTIVES: We analyzed health insurance claims records from a large private insurer in Texas to evaluate the effects of physician self-referral arrangements involving physical therapy on the treatment of patients with frozen shoulder syndrome, elbow tendinopathy or tendinitis, and patellofemoral pain syndrome. STUDY DESIGN: We used regression analysis to evaluate the effects of episode self-referral status on: (1) initiation of physical therapy; (2) physical therapy visits and services for those who had at least 1 visit; and (3) total condition-related insurer allowed amounts per episode. RESULTS: For all 3 conditions, we found that patients treated by physician owners were much more likely to be referred for a course of physical therapy when compared with patients seen by physician nonowners. A consistent pattern emerged among patients who had at least 1 physical therapy visit; non-self-referred episodes included more physical therapy visits, and more physical therapy services per episode in comparison with episodes classified as self-referral. Most self-referred episodes were short and the initial visit did not include an evaluation. CONCLUSION: Physician owners of physical therapy services refer significantly higher percentages of patients to physical therapy and many are equivocal cases.

Factors Contributing to Variations in Physicians' Use of Evidence at The Point of Care: A Conceptual Model.

There is ample evidence that many clinical decisions made by physicians are inconsistent with current and generally accepted evidence. This leads to the underuse of some efficacious diagnostic, preventive or therapeutic services, and the overuse of others of marginal or no value to the patient. Evolving new payment and delivery models place greater emphasis on the provision of evidence-based services at the point of care. However, changing physician clinical behaviors is likely to be difficult and slow. Policy makers therefore need to design interventions that are most effective in promoting greater evidence-based care. To help identify modifiable factors that can influence clinical decisions at the point of care, we present a conceptual model and literature review of physician decision making. We describe the multitude of factors--drawn from different disciplines--that have been shown to influence physician point-of-care decisions. We present a conceptual framework for organizing these factors, dividing them into patient, physician, practice site, physician organization, network, market, and public policy influences. In doing so, we review some of the literature that speak to these factors. We then identify areas where additional research is especially needed, and discuss the challenges and opportunities for health services and policy researchers to gain a better understanding of these factors, particularly those that are potentially modifiable by policymakers and organizational leaders.

The Results Are Only as Good as the Sample: Assessing Three National Physician Sampling Frames.

BACKGROUND: Databases of practicing physicians are important for studies that require sampling physicians or counting the physician population in a given area. However, little is known about how the three main sampling frames differ from each other. OBJECTIVE: Our purpose was to compare the National Provider and Plan Enumeration System (NPPES), the American Medical Association Masterfile and the SK&A physician file. METHODS: We randomly sampled 3000 physicians from the NPPES (500 in six specialties). We conducted two- and three-way comparisons across three databases to determine the extent to which they matched on address and specialty. In addition, we randomly selected 1200 physicians (200 per specialty) for telephone verification. KEY RESULTS: One thousand, six hundred and fifty-five physicians (55 %) were found in all three data files. The SK&A data file had the highest rate of missing physicians when compared to the NPPES, and varied by specialty (50 % in radiology vs. 28 % in cardiology). NPPES and SK&A had the highest rates of matching mailing address information, while the AMA Masterfile had low rates compared with the NPPES. We were able to confirm 65 % of physicians' address information by phone. The NPPES and SK&A had similar rates of correct address information in phone verification (72-94 % and 79-92 %, respectively, across specialties), while the AMA Masterfile had significantly lower rates of correct address information across all specialties (32-54 % across specialties). CONCLUSIONS: None of the data files in this study were perfect; the fact that we were unable to reach one-third of our telephone verification sample is troubling. However, the study offers some encouragement for researchers conducting physician surveys. The NPPES and to a lesser extent, the SK&A file, appear to provide reasonably accurate, up-to-date address information for physicians billing public and provider insurers.

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.

Association between imposition of a Maintenance of Certification requirement and ambulatory care-sensitive hospitalizations and health care costs.

IMPORTANCE: In 1990, the American Board of Internal Medicine (ABIM) ended lifelong certification by initiating a 10-year Maintenance of Certification (MOC) program that first took effect in 2000. Despite the importance of this change, there has been limited research examining associations between the MOC requirement and patient outcomes. OBJECTIVE: To measure associations between the original ABIM MOC requirement and outcomes of care. DESIGN, SETTING, AND PARTICIPANTS: Quasi-experimental comparison between outcomes for Medicare beneficiaries treated in 2001 by 2 groups of ABIM-certified internal medicine physicians (general internists). One group (n = 956), initially certified in 1991, was required to fulfill the MOC program in 2001 (MOC-required) and treated 84 215 beneficiaries in the sample; the other group (n = 974), initially certified in 1989, was grandfathered out of the MOC requirement (MOC-grandfathered) and treated 69 830 similar beneficiaries in the sample. We compared differences in outcomes for the beneficiary cohort treated by the MOC-required general internists before (1999-2000) and after (2002-2005) they were required to complete MOC, using the beneficiary cohort treated by the MOC-grandfathered general internists as the control. MAIN OUTCOMES AND MEASURES: Quality measures were ambulatory care-sensitive hospitalizations (ACSHs), measured using prevention quality indicators. Ambulatory care-sensitive hospitalizations are hospitalizations triggered by conditions thought to be potentially preventable through better access to and quality of outpatient care. Other outcomes included health care cost measures (adjusted to 2013 dollars). RESULTS: Annual incidence of ACSHs (per 1000 beneficiaries) increased from the pre-MOC period (37.9 for MOC-required beneficiaries vs 37.0 for MOC-grandfathered beneficiaries) to the post-MOC period (61.8 for MOC-required beneficiaries vs 61.4 for MOC-grandfathered beneficiaries) for both cohorts, as did annual per-beneficiary health care costs (pre-MOC period, $5157 for MOC-required beneficiaries vs $5133 for MOC-grandfathered beneficiaries; post-MOC period, $7633 for MOC-required beneficiaries vs $7793 for MOC-grandfathered beneficiaries). The MOC requirement was not statistically associated with cohort differences in the growth of the annual ACSH rate (per 1000 beneficiaries, 0.1 [95% CI, -1.7 to 1.9]; P = .92), but was associated with a cohort difference in the annual, per-beneficiary cost growth of -$167 (95% CI, -$270.5 to -$63.5; P = .002; 2.5% of overall mean cost). CONCLUSION AND RELEVANCE: Imposition of the MOC requirement was not associated with a difference in the increase in ACSHs but was associated with a small reduction in the growth differences of costs for a cohort of Medicare beneficiaries.

Medicare spending, mortality rates, and quality of care.

We applied instrumental variable analysis to a sample of 388,690 Medicare beneficiaries predicted to be high-cost cases to estimate the effects of medical care use on the relative odds of death or experiencing an avoidable hospitalization in 2006. Contrary to conclusions from the observational geographic variations literature, the results suggest that greater medical care use is associated with statistically significant and quantitatively meaningful health improvements: a 10% increase in medical care use is associated with a 8.4% decrease in the mortality rate and a 3.8% decrease in the rate of avoidable hospitalizations.

Paying more for primary care: can it help bend the Medicare cost curve?

The health reform law boosted Medicare fees for primary care ambulatory visits by 10 percent for five years starting in 2011. Using a simulation model with real-world parameters, we evaluate the effects of a permanent 10 percent increase in these fees. Our analysis shows the fee increase would increase primary care visits by 8.8 percent, and raise the overall cost of primary care visits by 17 percent. However, these increases would yield more than a sixfold annual return in lower Medicare costs for other services­mostly inpatient and postacute care­once the full effects on treatment patterns are realized. The net result would be a drop in Medicare costs of nearly 2 percent. These findings suggest that, under reasonable assumptions, promoting primary care can help bend the Medicare cost curve.

Characteristics of Academic-Affiliated Health Systems.

PURPOSE: Changing market forces increasingly are leading academic medical centers (AMCs) to form or join health systems. But it is unclear how this shift is affecting the tripartite academic mission of education, research, and high-quality patient care. To explore this topic, the authors identified and characterized the types of health systems that owned or managed AMCs in the United States in 2016. METHOD: The authors identified AMCs as any general acute care hospitals that had a resident-to-bed ratio of at least 0.25 and that were affiliated with at least one MD- or DO-granting medical school. Using the Agency for Healthcare Research and Quality 2016 Compendium of U.S. Health Systems, the authors also identified academic-affiliated health systems (AHSs) as those health systems that owned or managed at least one AMC. They compared AMCs and other general acute care hospitals, AHSs and non-AHSs, and AHSs by type of medical school relationship, using health system size, hospital characteristics, undergraduate and graduate medical education characteristics, services provided, and ownership. RESULTS: Health systems owned or managed nearly all AMCs (361, 95.8%). Of the 626 health systems, 230 (36.7%) met the definition of an AHS. Compared with other health systems, AHSs included more hospitals, provided more services, and had a lower ratio of primary care doctors to specialists. Most AHSs (136, 59.1%) had a single, shared medical school relationship, whereas 38 (16.5%) had an exclusive medical school relationship and 56 (24.3%) had multiple medical school relationships. CONCLUSIONS: These findings suggest that several distinct types of relationships between AHSs and medical schools exist. The traditional vision of a medical school having an exclusive relationship with a single AHS is no longer prominent.

Malpractice Claim Fears and the Costs of Treating Medicare Patients: A New Approach to Estimating the Costs of Defensive Medicine.

OBJECTIVE: To estimate the cost of defensive medicine among elderly Medicare patients. DATA SOURCES: We use a 2008 national physician survey linked to respondents' elderly Medicare patients' claims data. STUDY DESIGN: Using a sample of survey respondent/beneficiary dyads stratified by physician specialty, we estimated cross-sectional regressions of annual costs on patient covariates and a medical malpractice fear index formed from five validated physician survey questions. Defensive medicine costs were calculated as the difference between observed patient costs and those under hypothetical alternative levels of malpractice concern, and then aggregated to estimate average defensive medicine costs per beneficiary. DATA COLLECTION METHODS: The physician survey was conducted by mail. Patient claims were linked to survey respondents and reweighted to approximate the elderly Medicare beneficiary population. PRINCIPAL FINDINGS: Higher levels of the malpractice fear index were associated with higher patient spending. Based on the measured associations, we estimated that defensive medicine accounted for 8 to 20 percent of total costs under alternative scenarios. The highest estimate is associated with a counterfactual of no malpractice concerns, which is unlikely to be socially optimal as some extrinsic incentives to avoid medical errors are desirable. Among specialty groups, primary care physicians contributed the most to defensive medicine spending. Higher costs resulted mostly from more hospital admissions and greater postacute care. CONCLUSIONS: Although results are based on measured associations between malpractice fears and spending, and may not reflect the true causal effects, they suggest defensive medicine likely contributes substantial additional costs to Medicare.

Assessments of medical care by enrollees in for-profit and nonprofit health maintenance organizations.

BACKGROUND: It is uncertain how assessments of medical care differ between enrollees in for-profit and nonprofit health maintenance organizations (HMOs). METHODS: We analyzed the relation between the profit status of HMOs and enrollees' assessments of their care. We used data from two national surveys from the Community Tracking Study: the Household Survey, 1996-1997, and the 1997-1998 Insurance Followback Survey. The final sample included 13,271 persons under 65 years of age (10,654 adults and 2617 children) with employer-sponsored insurance who obtained health care through an HMO. A total of 12,445 enrollees who reported their health status as excellent, very good, or good were considered to be healthy; 826 with self-reported fair or poor health were considered to be sick. RESULTS: In the sample as a whole, enrollees in nonprofit plans were more likely to be very satisfied with their overall care than enrollees in for-profit plans (adjusted means, 64.0 percent and 58.1 percent, respectively; P=0.01). Among enrollees in for-profit HMOs, sick enrollees were more likely than healthy enrollees to report unmet need or delayed care (17.4 percent vs. 13.1 percent, P=0.004) and organizational or administrative barriers to care (12.9 percent vs. 9.0 percent, P<0.001); they also reported higher out-of-pocket spending during the previous year ($731 vs. $480, P=0.002). For nonprofit HMOs, there was only one significant difference between the ratings of healthy and sick enrollees; sick enrollees expressed more trust in doctors to refer when needed. CONCLUSIONS: Although there are few overall differences in assessments of medical care between enrollees in for-profit and nonprofit HMOs, for-profit HMOs are rated less favorably than nonprofit HMOs by patients who have self-reported fair or poor health.

Predictors of the growing influence of clinical practice guidelines.

BACKGROUND: Despite the proliferation of clinical practice guidelines (CPGs), physicians have been slow to adopt them. OBJECTIVE: Describe changes in the reported effect of CPGs on physicians' clinical practice over the past decade, and identify the practice characteristics associated with those changes. DESIGN AND PARTICIPANTS: Longitudinal and cross-sectional analyses of rounds 1-4 of the Community Tracking Study Physician Survey, a nationally representative survey, conducted periodically between 1996 and 2005. MEASUREMENTS: The cross-sectional outcome was the reported effect of CPGs on the physician's practice (very large, large, moderate, small, very small, and no effect). The longitudinal outcome was the change in reported effect of CPGs between two consecutive rounds for panel respondents. Independent variables included changes in physicians' practice characteristics (size, ownership, capitation, availability of information technology (IT) to access guidelines, whether quality measures and profiling affect compensation, and revenue sources). RESULTS: The proportion of primary care physicians reporting that CPGs had a very large or large effect on their practice increased significantly from 1997 to 2005, from 16.4% to 38.7% (P < .0001). The corresponding change for specialists was 18.9% to 28.2% (P < .0001). In longitudinal multivariate analyses, practice characteristics associated with an increase in effect of CPGs included acquiring IT to access guidelines, an increase in the impact that quality measures and profiling have on compensation, and an increase in the proportion of practice revenue under capitation or derived from Medicaid. CONCLUSIONS: Promotion of wider adoption of health IT, and financial incentives linked to validated quality measures, may facilitate further growth in the impact of CPGs.

Why do Hispanics have so little employer-sponsored health insurance?

This paper investigates low rates of employer health insurance coverage among Hispanics using national data from the Community Tracking Study Household Survey. Interview language served as a proxy for the degree of assimilation. Findings indicate that English-speaking Hispanics are more similar to whites in their labor market experiences and coverage than they are to Spanish-speaking Hispanics. Spanish-speakers' very low human capital (including their inability to speak English) results in much less access to job-based insurance. Though less important, Spanish-speaking Hispanics' demand for employer-sponsored insurance appears lower than that of English-speaking Hispanics or whites. Results suggest that language and job training may be the most effective way to bolster Hispanics' insurance coverage.

Leveraging Diverse Data Sources to Identify and Describe U.S. Health Care Delivery Systems.

Health care delivery systems are a growing presence in the U.S., yet research is hindered by the lack of universally agreed-upon criteria to denote formal systems. A clearer understanding of how to leverage real-world data sources to empirically identify systems is a necessary first step to such policy-relevant research. We draw from our experience in the Agency for Healthcare Research and Quality's Comparative Health System Performance (CHSP) initiative to assess available data sources to identify and describe systems, including system members (for example, hospitals and physicians) and relationships among the members (for example, hospital ownership of physician groups). We highlight five national data sources that either explicitly track system membership or detail system relationships: (1) American Hospital Association annual survey of hospitals; (2) Healthcare Relational Services Databases; (3) SK&A Healthcare Databases; (4) Provider Enrollment, Chain, and Ownership System; and (5) Internal Revenue Service 990 forms. Each data source has strengths and limitations for identifying and describing systems due to their varied content, linkages across data sources, and data collection methods. In addition, although no single national data source provides a complete picture of U.S. systems and their members, the CHSP initiative will create an early model of how such data can be combined to compensate for their individual limitations. Identifying systems in a way that can be repeated over time and linked to a host of other data sources will support analysis of how different types of organizations deliver health care and, ultimately, comparison of their performance.

Effects of compensation methods and physician group structure on physicians' perceived incentives to alter services to patients.

OBJECTIVE: To examine how health plan payment, group ownership, compensation methods, and other practice management tools affect physician perceptions of whether their overall financial incentives tilt toward increasing or decreasing services to patients. DATA SOURCE: Nationally representative data on physicians are from the 2000-2001 Community Tracking Study Physician Survey (N=12,406). STUDY DESIGN: Ordered and multinomial logistic regression were used to explore how physician, group, and market characteristics are associated with physician reports of whether overall financial incentives are to increase services, decrease services, or neither. PRINCIPAL FINDINGS: Seven percent of physicians report financial incentives are to reduce services to patients, whereas 23 percent report incentives to increase services. Reported incentives to reduce services were associated with reports of lower ability to provide quality care. Group revenue in the form of capitation was associated with incentives to reduce services whereas practice ownership and variable compensation and bonuses for employee physicians were mostly associated with incentives to increase services to patients. Full ownership of groups, productivity incentives, and perceived competitive markets for patients were associated with incentives to both increase and reduce services. CONCLUSIONS: Practice ownership and the ways physicians are compensated affect their perceived incentives to increase or decrease services to patients. In the latter case, this adversely affects perceived quality of care and satisfaction, although incentives to increase services may also have adverse implications for quality, cost, and insurance coverage.

Insurance premiums and insurance coverage of near-poor children.

States increasingly are using premiums for near-poor children in their public insurance programs (Medicaid/SCHIP) to limit private insurance crowd-out and constrain program costs. Using national data from four rounds of the Community Tracking Study Household Surveys spanning the seven years from 1996 to 2003, this study estimates a multinomial logistic regression model examining how public and private insurance premiums affect insurance coverage outcomes (Medicaid/SCHIP coverage, private coverage, and no coverage). Higher public premiums are significantly associated with a lower probability of public coverage and higher probabilities of private coverage and uninsurance; higher private premiums are significantly related to a lower probability of private coverage and higher probabilities of public coverage and uninsurance. The results imply that uninsurance rates will rise if both public and private premiums increase, and suggest that states that impose or increase public insurance premiums for near-poor children will succeed in discouraging crowd-out of private insurance, but at the expense of higher rates of uninsurance. Sustained increases in private insurance premiums will continue to create enrollment pressures on state insurance programs for children.

After the "Doc Fix": Implications of Medicare Physician Payment Reform for Academic Medicine.

The Medicare Access and CHIP Reauthorization Act (MACRA) introduces incentives for clinicians serving Medicare patients to move away from traditional "fee-for-service" and into alternative payment models (APMs) such as accountable care organizations and bundled payment arrangements. Thus, MACRA creates strong reasons for various teaching clinical services to participate in APMs, not only for Medicare patients but for other public and private payers as well. Unfortunately, different APMs may be more or less applicable to the diverse teaching physician roles, academic clinical programs, and patient populations served by medical schools and teaching hospitals. Therefore, this time of transition will complicate the work of academic clinical program leaders endeavoring to sustain the tripartite mission of patient care, health professional education, and research. Nonetheless, payment reforms promoted by MACRA can reward efforts to reinvent medical education to better incorporate value into medical decision making, as well as to give clinical learners the tools and insights needed to recognize their personal financial (and other) conflicts and navigate these to meet their patients' needs. This post-MACRA environment may intensify the need for researchers in academic medicine to stay independent of the short-term financial interests of affiliated clinical institutions. Health sciences scholars must be able to study effectively and speak forcefully regarding the actual benefits, risks, and costs of health care services so that educators and clinicians can identify high-value care and deliver it to their patients.

Use of Physical Therapy Following Total Knee Replacement Surgery: Implications of Orthopedic Surgeons' Ownership of Physical Therapy Services.

OBJECTIVE: To examine whether the course of physical therapy treatments received by patients who undergo total knee replacement (TKR) surgery differs depending on whether the orthopedic surgeon has a financial stake in physical therapy services. DATA: Sample of Medicare beneficiaries who underwent TKR surgery during the years 2007-2009. STUDY DESIGN: We used regression analysis to evaluate the effect of physician self-referral on the following outcomes: (1) time from discharge to first physical therapy visit; (2) episode length; (3) number of physical therapy visits per episode; (4) number of physical therapy service units per episode; and (5) number of physical therapy services per episode expressed in relative value units. PRINCIPAL FINDINGS: TKR patients who underwent physical therapy treatment at a physician-owned clinic received on average twice as many physical therapy visits (8.3 more) than patients whose TKR surgery was performed by a orthopedic surgeon who did not self-refer physical therapy services (p < .001). Regression-adjusted results show that TKR patients treated at physician-owned clinics received almost nine fewer physical therapy service units during an episode compared with patients treated by nonself-referring providers (p < .001). In relative value units, this difference was 4 (p < .001). In contrast, episodes where the orthopedic surgeon owner does not profit from physical therapy services rendered to the patient look virtually identical to episodes where the TKR surgery was performed by a surgeon nonowner. CONCLUSIONS: Physical therapists not involved with physician-owned clinics saw patients for fewer visits, but the composition of physical therapy services rendered during each visit included more individualized therapeutic exercises.

Physician Self-Referral of Physical Therapy Services for Patients with Low Back Pain: Implications for Use, Types of Treatments Received and Expenditures.

Prior research on treatment of low back pain has documented large increases in use of spinal surgery, MRIs and lumbosacral injections linked to physician self-referral arrangements. No recent research has examined whether physician ownership of physical therapy services results in greater use of physical therapy to treat low back pain. The objective of this study is to investigate whether physician ownership of physical therapy services affects frequency of use, visits and types of physical therapy services received by patients with low back pain. Using claims records from insured patients covered by Blue Cross Blue Shield of Texas (2008-2011) we compared several metrics of use of physical therapy services for low back pain episodes controlling for self-referral status. We identified 158,151 low back pain episodes, 27% met the criteria to be classified as "self-referral." Only 10% of "non-self-referral" episodes received physical therapy compared to 26% of self-referral episodes (p<0.001). The unadjusted and regression adjusted self-referral effect was identical - about 16 percentage point difference (p<0.001). Among patients who received some physical therapy, self-referral episodes were comprised of 2.26 fewer visits and 11 fewer physical therapy service units (p<0.001). Non-self-referring episodes included a significantly higher proportion of "active" (hands on or patient engaged) as opposed to "passive" treatments (p<0.001). The regression-adjusted difference was 30 percentage points when measured as actual counts and 29 percentage points when measured in RVUs (p<0.001). Total spending on back-related care was 35% higher for self-referred episodes compared to their non-self-referred counterparts (p<0.001). Ownership of physical therapy services influence physicians' referral to initiate a course of physical therapy to treat low back pain, but also affect the types of physical therapy services a patient receives.

The role of internal medicine subspecialists in patient care management.

OBJECTIVES: To understand the clinical roles in which internal medicine (IM) subspecialists engage, especially those involving ongoing patient management. STUDY DESIGN: Measures of physician clinical roles were based on survey responses collected from 8020 mid-career IM subspecialists who registered for the American Board of Internal Medicine maintenance of certification program (86% registration/response rate) between 2009 and 2013. METHODS: Each subspecialist reported their percentage of clinical time in 5 clinical roles: primary, principal, longitudinal consultative, medical consultative, and procedural care. We characterized an IM subspecialist's clinical role focus as those roles that composed a majority of their clinical time. RESULTS: Most IM subspecialists reported spending a majority of their time performing 1 (65%) or 2 (31%) clinical roles. Most (54%) reported a clinical role focused on ongoing patient care management roles, including principal care (eg, total responsibility for a specific condition, 23%), longitudinal consultative care (eg, shared care, 21%); or a mixed clinical role focus composed of both principal and longitudinal consultative care (8%). We also found that physicians focused on ongoing patient care management roles represent a significant percentage of physicians within most IM subspecialties (ranging from 19% to 88% across subspecialties). CONCLUSIONS: A subspecialist's clinical role focus is an important practice characteristic, and many subspecialists perceive themselves as playing a significant role in care management. These findings suggest there are opportunities to incorporate subspecialists into newer payment and care delivery reforms; they also bring to light reasons that training and certification programs should consider the different clinical role foci subspecialists adopt.