Volume 59, Issue 1 e14172
RESEARCH ARTICLE
Open Access

Hospital-physician integration and clinical volume in traditional Medicare

Brady Post PhD

Corresponding Author

Brady Post PhD

Department of Health Sciences, Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts, USA

Correspondence

Brady Post, Department of Health Sciences, Northeastern University, 316H Robinson Hall, 336 Huntington Ave, Boston, MA 02115, USA.

Email: b.post@northeastern.edu

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Brent K. Hollenbeck MD

Brent K. Hollenbeck MD

Department of Urology, University of Michigan Medical School, Ann Arbor, Michigan, USA

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Edward C. Norton PhD

Edward C. Norton PhD

Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA

Department of Economics, University of Michigan, Ann Arbor, Michigan, USA

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Andrew M. Ryan PhD

Andrew M. Ryan PhD

Department of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, Rhode Island, USA

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First published: 29 May 2023

Abstract

Objective

To test the effect of hospital-physician integration on primary care physicians' (PCP) clinical volume in traditional Medicare.

Data Sources and Study Setting

Nationwide retrospective longitudinal study using Medicare claims and other data sources from 2010 to 2016.

Study Design

We identified 70,000 PCPs, some of whom remained non-integrated and some who became hospital-integrated during this study period. We used an event study design to identify the effect of integration on key measures of physicians' clinical volume, including the number of claims, work-relative value units (RVUs), professional revenue generated, number of patients treated, and facility fee revenue generated.

Principal Findings

Per-physician clinical volume declined by statistically and economically significant margins. Relative to the comparison group who remained non-integrated, work RVUs fell by 7% (95% confidence interval [CI]: −8.6% to −5.5%); the number of patients treated fell by 4% (95% CI: −5.8% to −2.6%); and claims volume among PCPs who became hospital-integrated fell by over 15% (95% CI: −16.8% to −13.5%). Though professional revenue declined by $29,165 (95% CI: −$32,286 to −$26,044), this loss was almost entirely offset by increased facility fee revenue of $28,556 (95% CI: 26,909 to 30,203).

Conclusions

Hospital-physician integration may affect the quantity of clinical services delivered by PCPs to traditional Medicare beneficiaries. Reductions in clinical volume associated with integration may have long-term consequences for the supply of physician services and patient access to primary care. Future research on physician time use and patient access following hospital integration would further add to the evidence base.

What is known on this topic

  • Hospital-physician vertical integration, of which hospital employment of physicians is an important form, has increased rapidly in recent years and has been associated with increased per-patient spending among traditional Medicare patients.
  • Integration may help re-allocate physicians' time away from administrative tasks like billing and compliance, freeing up time for patient care: this would improve hospitals' bottom lines and improve patient access.
  • The effects of integration on physician workload—that is, whether hospitals successfully incentivize their integrated physicians to bill more claims and treat more patients—remain understudied.

What this study adds

  • After integration with a hospital, per-physician traditional Medicare clinical volume declined substantially, for example, hospital-integrated physicians' work-relative value units declined by 7% and panel sizes declined by 4%.
  • With the reduced availability of primary care services and smaller patient panels, integration could strain access for patients in traditional Medicare.

1 INTRODUCTION

Over the last decade, American hospitals have acquired physician practices in large numbers and have become major employers of physicians.1-4 As of 2018, hospitals owned 31.2% of physician practices, up from 13.6% in 2012.2 The shift toward greater integration between hospitals and physicians has raised concerns among policy makers, including the Medicare Payment Advisory Commission and the Federal Trade Commission.5, 6 These concerns have been validated by empirical work that has associated hospital-physician integration with increases in prices and spending.7-14

Yet hospital-physician integration, of which hospital employment of physicians is an important form,15 may cause ripple effects that go beyond prices and spending. The literature has just begun to reckon with an array of additional potential consequences, including consequences for physicians and care teams. For example, Whaley and colleagues demonstrated that even though hospital-employed physicians generated sizable revenue gains for their hospital employers, physicians did not receive higher compensation.16 Barnes and colleagues found that integration affected clinical labor within practices; notably, they found that hospital-integrated practices were more apt to employ nurse practitioners and physician assistants.17

The above findings are suggestive that integration could change physicians' clinical workloads, yet no empirical work has examined it directly. One important and underappreciated potential benefit of integration is reduced administrative hassle for physicians, which could translate to seeing more patients. Given anecdotes from physicians that private practice involves excessive time on logistics (e.g., billing insurers) and not enough time treating patients, integration could outsource all the business functions, paperwork, and regulatory compliance to the hospitals' centralized system. This could result in a beneficial re-allocation of physicians' time toward delivering care. Such a development would be good for the hospital system (more billable services), good for physicians (less administrative headache), and good for patients (increased access and more available appointments). These benefits may be most valuable in primary care: primary care physicians (PCPs) are especially important to hospitals since they play a key role in hospital strategies for clinical excellence and business performance, including accountable care organizations and value-based purchasing; indeed, hospitals have directly employed many PCPs in recent years.18 Moreover, if integration frees up time to see more patients, this would represent an improvement in primary care access and a substantial unappreciated benefit of hospital-physician integration.

To fill these gaps, we asked: what is the effect of hospital-physician integration on physician clinical volume? We studied this question in the context of traditional Medicare, the largest health care insurer in the United States. We hypothesized that integration would enable PCPs to increase their volume of clinical activities. We created a unique dataset by linking multiple physician characteristics files to 7 years of traditional Medicare claims data over a period that exhibited significant integration activity (2010–2016). The resulting sample included over 70,000 U.S. PCPs. Using a difference-in-differences (event study) framework, we measured changes in volume before and after integration among physicians who became hospital-integrated during the study window and compared them to physicians who remained non-integrated. Our results speak to the wide range of effects that hospital-physician integration exerts on the delivery system, with implications for the 38 million patients enrolled in—and the 99% of physicians who participate in—the traditional Medicare program.19, 20

2 METHODS

2.1 Study population and data sources

We created our analytical sample by linking the following six data sources available to us under data use agreements: Medicare 20% claims from 2010 to 2016,21 Medicare Data on Provider Practice and Specialty (MD-PPAS),22 the American Medical Association Physician Masterfile,23 Medicare Provider Analysis and Review (MedPAR) data,24 Medicare Physician Fee Schedules, and Medicare Outpatient Prospective Payment System (OPPS) files. The details of creating the analytical file are described in Appendix 1.

Our resulting file contained 971,120 eligible U.S. physician-year observations, defined by MD-PPAS as PCPs, who appeared at least once between 2010 and 2016 with non-missing data (Appendix 2A). We excluded physicians with a reported age outside of 25–85 and excluded those with fewer than 10 claim line items. We defined a physician as integrated using the place of service code on claims data. Following precedents in the literature, we classified a physician as integrated if 75% or more of their claims were billed from a hospital outpatient department code (place of service code 19 or 22) and unintegrated otherwise.9 We supplemented this definition with a keyword search of legal tax identifier names from MD-PPAS data (Appendix 1). Since this study was concerned with identifying the effect of integration on physicians who left office settings to join hospital systems, we used physicians who were unintegrated in the base year (2010), became integrated and remained in the sample through 2016, and did not disintegrate at any time (results were qualitatively similar to specifications that relaxed these criteria; Appendix 3). Our final sample was a fully balanced panel comprised of 510,146 physician-years (Appendix 2B compares the excluded to included). We used a balanced sample to avoid concerns about bias from possible integration-induced retirement and resulting sample dropout; our conclusions apply to physicians who became integrated and remained in the workforce. In addition, we expected that some changes in clinical volume could vary in important ways over time relative to integration, for example, in the first year or two, physicians may have needed time to adjust to different electronic health record systems. These time-varying effects become muddled when physicians can enter and exit an unbalanced sample throughout the study period, thus, a balanced sample was preferable for interpretability. Our results were nonetheless similar when using an unbalanced sample (Appendix 3).

2.2 Measures of clinical volume

We constructed five main dependent variables. For each physician in each year, we measured the number of Medicare claims generated, the dollar amount of professional fees produced by physician labor (i.e., professional revenue), the dollar amount of “facility fees” (see below) produced by physician labor, the number of unique patients treated, and the sum of each physician's work-relative value units (RVUs) from procedures performed. RVUs estimate the resources required to produce a health service and are commonly used by health care organizations to measure and compensate physician productivity.25 The value of each procedure code in Medicare fee-for-service includes a designated amount (a “relative value unit”) for the physician's labor, identified as the work RVUs. We also measured “facility fees.” During our study period, when a hospital acquired a physician practice, reimbursement for physician services would often come not only from professional fees for physician labor but also, to compensate hospital facilities for overhead costs, through the Medicare OPPS.26, 27 These OPPS payments were commonly known as facility fees. Thus, when integrated physicians conducted services, their owning hospital became eligible to bill both for professional service costs generated by physician services and a facility fee, usually resulting in a large net gain in revenue for the integrated system. We measured both to create a complete picture of physician clinical volume. Together, these five variables measured the size of patient panels, the dollars generated for the integrated entity, and the standard productivity metric of work RVUs. The sample characteristics are presented in Table 1. This study was deemed exempt from review by our organization's institutional review board.

TABLE 1. Sample characteristics.
2010 2016
Control Integrating Control Integrating
Number of physicians 67,364 5514 67,364 5514
Age (mean) 50 48 56 54
Female (%) 30 37 30 37
Size of practice (median number of physicians) 2 7 3 10
Region (%)
Midwest 21 45 21 44
Northeast 22 16 22 15
South 35 24 35 24
West 22 15 22 16
Medicare claims volume (mean) 1617 1303 1466 930
Medicare professional revenue (mean) 145,583 107,004 150,059 81,148
Medicare relative value units (mean) 1452 1100 1390 939
Medicare unique patients (mean) 343 324 335 304
HHI hospital 1739 1989 1854 2164
HHI physician 162 160 169 171
  • Note: Total physician-year observations from 2010 to 2016: 510,146. Sample comprised of physicians who begin the study period unintegrated.
  • Abbreviations: HHI, Hirschman–Herfindahl Index of hospital referral region; HOPD, hospital outpatient department.

2.3 Statistical analysis

Following the precedent of other strong study designs in this literature, we evaluated the effect of integration using an event study with integration as the event.28-30 We centered each physician's integration start dates around t = 0, where t < 0 corresponded to the pre-integration period. Physicians integrated as early as 2011 and as late as 2016. Others did not integrate at all; these comprised our control group.

In our main specification, we estimated an event study model in which we interacted treatment status with each relative time period to create a model fully saturated with treatment leads and lags, omitting the last pre-period.31 This specification avoided the concerns raised by Goodman-Bacon and others about two-way fixed effects models with varied treatment start times32; our approach explicitly modeled variation in treatment effects over time to avoid the pitfalls of those models. We controlled for the calendar year of the observation as well as the competitiveness of the hospital market and the physician market. To provide a summary of our results, we estimated the overall treatment effect by averaging over all lagged effects using a linear combination, that is, an observation-weighted average of the treatment effects.31, 33 We used physician fixed effects to address unobserved time-invariant physician characteristics that may have been correlated with integration and clinical volume.34 In all specifications, we estimated linear models with standard errors clustered by physicians. See Technical Appendix T1 for further detail.

We estimated a standard event study model, plotting the regression coefficients and 95% confidence intervals (CIs) of the treatment effect leads and lags before and after treatment in Figure 1.31 These approaches enabled us to verify that the pre-period trends were parallel.

Details are in the caption following the image
Physician clinical volume before and after integration. Each panel displays the event study specification of the effect of integration on the dependent variables of the number of claims, professional revenue (dollars), work-relative value units, and the number of patients. The y-axis displays the regression coefficients for time dummies. The x-axis displays the time relative to when the physician became hospital-integrated (t = −1 represents the last year pre-integration). [Color figure can be viewed at wileyonlinelibrary.com]

2.4 Supplemental analyses

To offer more insight into possible interpretations of our results (to which we return in Section 21), we undertook several supplemental analyses, including an evaluation of the number of distinct days on which physicians billed Medicare, effects among physicians at teaching hospitals and non-teaching hospitals, the number of RVUs and distinct Healthcare Common Procedure Coding System codes (HCPCS) per claim, county-level analyses of MA enrollment and integration, and effects among counties with high levels of commercially-insured patients compared to those with low levels. Technical Appendix T2 details these analyses and their results; Section 21 includes their implications.

3 RESULTS

3.1 Main findings

We identified 510,146 physician-year observations (72,878 unique PCPs) that met our criteria between January 1, 2010 and December 31, 2016. Table 1 displays unadjusted descriptive statistics of our study sample among the integrating and comparison groups. The group of integrating physicians was slightly younger (an average of 48 years old compared to 50 years old), and had a somewhat larger proportion of female physicians and a larger proportion from the Midwest.

The number of Medicare claims and revenue in 2010 was somewhat lower among integrating physicians (1303 compared to 1617, and $107,000 compared to $146,000). Similarly, the number of RVUs billed by integrating physicians was slightly lower (1100 compared to 1452). Integrating physicians treated 324 unique patients while comparison physicians treated 343. In 2010 the median practice size was two for comparison physicians and seven for integrating physicians; the median practice size at the time of integration was three, with a 25th percentile of one and a 75th percentile of 21 (Appendix 4). The differences in observable characteristics between these groups, though small, provided further confidence in our decision to include physician fixed effects in our estimation strategy.

In our event study analysis, we detected large negative effects of integration on clinical volume. This was true across all measures. Medicare claims volume declined by an average of 233 (95% CI: −259 to −208). This implied a 15% decline in claims volume (Table 2). We also observed losses in professional revenue of $29,165 per physician per year (−95% CI: −32,286 to −26,044), implying a 20% reduction. After integration, physicians also billed fewer work RVUs compared to the comparison group (−100, 95% CI: −121 to −78), a decline of 7%. Similarly, physicians saw about 4% fewer patients after integration (−14, 95% CI: −20 to −9).

TABLE 2. Effects of integration on clinical volume across practice size.
Measure Subgroup Pre-period level among integrating physicians Average effect of integration in post-period (magnitude, 95% confidence interval) Average effect of integration in post-period (%)
Annual number of claims Overall 1540 −233 (−259, −208) −15
Small 1632 −234 (−283, −186) −14
Large 1194 −336 (−384, −288) −28
Annual professional revenue Overall 147,610 −29,165 (−32,286, −26,044) −20
Small 170,559 −34,867 (−43,280, −26,455) −20
Large 99,635 −32,575 (−35,968, −29,181) −33
Annual relative value units Overall 1406 −100 (−121, −78) −7
Small 1631 −171 (−218, −124) −10
Large 986 −87 (−118, −56) −9
Annual unique patients Overall 345 −14 (−20, −9) −4
Small 343 −11 (−21, 0) −3
Large 295 −32 (−41, −22) −11
  • Note: Pre-period level calculated as the adjusted value for comparison observations in the final pre-period (t = −1). Average effect calculated as a linear combination of lagged effects. Estimates from separate regressions within each subgroup. Small practices were those in the lowest quartile at time of integration (practices with 1 or 2 physicians). Large practices were those in the highest quartile (practices with 32 or more physicians).

3.2 Heterogeneous effects

We found modest treatment effect heterogeneity by time period and by practice size. The first full year of integration exhibited the largest declines, with subsequent years showing less extreme effects (Figure 1). This pattern was true for the outcomes of claims volume (e.g., year 1: −295, compared to year 6: −241), work RVUs, and patients treated (Appendix 5). This could have occurred if integrating physicians took time to adjust to a new practice environment, ramping up their billing over time. However, even 5 and 6 years after integration, their volume remained below that of comparison physicians. For professional revenue, the gap between comparison physicians and integrating physicians in the post-period was approximately constant over time.

We tested for heterogeneity by practice size (results for work RVUs shown in Figure 2; see Appendix 6 for other dependent variables) by running our model on subsamples. We defined small practice physicians as those in the lowest quartile of the distribution (1 or 2 physicians). We defined large practice physicians as those in the highest quartile (32 or more physicians). Work RVUs fell more among small-practice physicians. Claims and professional revenue fell by about the same amount for small and large practice physicians (Appendix 6). For most outcomes, the percentage decrease among large practices was larger than that of small practices since pre-period levels were lower among large practices (Table 2). We also estimated a model in which we interacted the treatment term with an indicator for small practices. The coefficient on the interaction term was negative and significant at p < 0.01 for the dependent variables of claims, revenue, and work RVUs (while not significant for patients).

Details are in the caption following the image
Effects of integration on work-relative value units (RVUs), by practice size. Each panel displays the event study specification of the effect of integration on work RVUs. The y-axis displays the regression coefficients for time dummies. The x-axis displays the time relative to when the physician became hospital-integrated (t = −1 represents the last year pre-integration). The left and right panes show the effects among physicians coming from small (2 physicians) and large (32 or more physicians) practices. [Color figure can be viewed at wileyonlinelibrary.com]

3.3 Facility fees

Vertical integration was associated with reduced professional revenue in our main analysis. This was partly a mechanical byproduct of the Medicare payment system: many physicians, once integrated, would not bill the same practice expense components for reimbursement that they did when independent. However, the hospital became eligible to receive facility fees for their integrated physicians' labor; we calculated the value of these fees.35 We used the Medicare OPPS facility fee payment rates for each service code. We applied these payment rates to every service code used by each physician in each year in our sample. We summed the facility fee reimbursement value for all services that a physician performed within a hospital outpatient place of service code. For example, the facility fee reimbursement for a visit with a patient was $92.53 in 2014. If a physician performed 100 visits from a hospital outpatient department, their value for this dependent variable in 2014 would have been $9253. This allowed us to construct a comprehensive measure of the annual facility fee value associated with each physician's labor for our full study period. In Figure 3, we show the results of our main specification using this dependent variable.

Details are in the caption following the image
Facility fees for physician services before and after integration. This figure displays the event study specification of the effect of integration on the value of Medicare facility fees associated with services performed by integrated physicians. The y-axis displays the regression coefficients for time dummies. The x-axis displays the time relative to when the physician became hospital-integrated (t = −1 represents the last year pre-integration). [Color figure can be viewed at wileyonlinelibrary.com]

Integration increased the value of facility fees by $28,556 per physician per year (95% CI: 26,909 to 30,203). When excluding the transitional year (t = 0), the increase was closer to $34,000. In the main analysis, the loss of professional revenue came to about $29,000 per physician per year. The results from the present analysis imply that facility fees almost entirely offset the loss in professional revenue despite major reductions in per-physician billing.

3.4 Robustness checks

First, we re-estimated our main equation dropping the partially treated year (t = 0) from the sample. The resulting estimates were similar to those from our main specification or slightly larger in magnitude (e.g., claims fell by 233 in our main specification and by 257 when excluding t = 0), consistent with t = 0 reflecting a partially-treated year (Appendix 7). Our main results display the more conservative estimate.

Second, we tested an alternative definition of integration in which we used only the claims-based definition (i.e., not supplementing with our MD-PPAS keyword search). Our estimates were robust (e.g., the effect for claims changed from −233 in our main specification to −324) (Appendix 7). Our main results display the more conservative estimate.

Third, we confirmed that trends in outcome variables were parallel in the pre-period not just in aggregate, but also for each integrating cohort, that is, for each group of physicians integrating in 2011, 2012, 2013, 2014, 2015, and 2016. We found that they were (Appendix 8).

3.5 Results from supplemental analyses

Integration was associated with a reduction in the distinct number of days physicians billed Medicare. Before integration, physicians billed on about 139 days; this fell by about 13 days, or 9%, after integration (Technical Appendix T3). Results for our main outcomes were generally not statistically different across physicians who joined teaching hospitals compared to non-teaching hospitals (Technical Appendix T4). After integration, integrating physicians' average number of distinct HCPCS codes used per claim declined by about 10%. By contrast, the average number of work RVUs per claim increased by 13% (Technical Appendix T5). In two analyses (using external data) which we characterize as exploratory, we found, first, a positive but minimal relationship between county-level rates of integration and county-level rates of Medicare Advantage enrollment: a 1 percentage point increase in the percent of physicians integrated was associated with a 0.007 percentage point increase in MA penetration (Technical Appendix T6). Second, we found that reductions in our measures of output were not significantly larger in counties with high levels of commercial patients compared to counties with low levels (Technical Appendix T7).

4 DISCUSSION

In this study, hospital-physician vertical integration reduced PCPs' clinical activity among traditional Medicare patients. Integrated physicians saw fewer patients and billed fewer claims. They also generated less professional revenue. We further calculated that these losses in professional revenue were almost completely offset by the extra revenue from Medicare's outpatient facility fees. Together, these findings imply that integration changes physicians' clinical work patterns in ways that could make it more difficult for patients enrolled in traditional Medicare to access primary care services, though it does not appear to result in losses in traditional Medicare revenue for hospital systems.

Previous work has demonstrated that integration affects spending, prices, and the cost of treatment.14, 28, 34 We add to the literature by showing that integration also affects PCPs' clinical volume. Contrary to our expectations—that is, that integration would free up physicians to deliver more clinical care—our work showed reduced volume among Medicare patients (we explore several interpretations of this finding below). Our results also add insight into how hospitals are recouping their investments in physician practice acquisitions. Specifically, despite anecdotes that employment contracts in this decade's wave of hospital-physician integration are more closely tied to physician productivity than contracts from the integration boom of the 1990s and early 2000s, hospitals still do not appear to be getting their physicians to do more clinical services, at least not as measured by greater billing in traditional Medicare. Prior work has shown that per-patient Medicare spending increases after physicians integrate.11, 13, 34 Squaring that finding with our results—that per-physician billable activity decreases—implies that patients of integrated physicians are getting referred with greater frequency to additional clinicians, to higher-cost sites of service, or to additional services like lab or diagnostic tests. Such an explanation fits with recent work which demonstrated that Medicare spending on labs and imaging (and even inappropriate imaging) increased after PCPs integrated.36, 37

Our results are consistent with several interpretations, each of which has different implications both for physician workload and access for Medicare patients. First, reduced Medicare fee-for-service billing activity following integration could be explained by the desire for part-time work. Larger systems might offer employees more flexibility than small practices. Though we did not have data on hours worked, we did have data on the total number of days on which physicians billed visits under the Medicare program.38 Before integration, physicians billed on about 139 days; this fell by about 13 days, or 9%, after integration (Technical Appendix). This is not conclusive of, although is consistent with, part-time clinical work, which is fairly commonplace among physicians; during the study period, an estimated 1 in 5 physicians nationally worked part-time.39 This pattern is also consistent with physicians seeking hospital employment for changes in professional roles, notably teaching or research, which would reduce billed services. To unpack this possibility analytically, we compared those joining teaching hospitals to those joining non-teaching hospitals. The results between them were not significantly different, implying that teaching responsibilities were not a primary driver of reduced billing (Technical Appendix). Some physicians might also seek non-academic professional roles, such as administrative responsibilities, specialized clinical roles involving less traditional billing, or leadership and service roles on hospital boards and committees. We could not test this here, but research with interviews or surveys could improve our collective understanding. If physicians enjoy these changes in professional roles and the possibility of part-time work, integration could improve physicians' overall work satisfaction. At the same time, reallocating physician time away from clinical roles reduces the supply of physician care available to patients.

A second interpretation is that integration might have changed nothing except the type of Medicare insurance in which the patients were enrolled. If so, integration affected neither physician workload nor patient access. Our study window corresponded to a time of increased Medicare Advantage enrollment, and integrated health systems might have been more inclined to move into the MA market than independent practices. Some health systems (although, in 2016, only 74 nationwide) have even developed their own MA plans.40 If physicians' patients were being moved into the hospitals' MA plans, it could explain some of the reduced billing in traditional Medicare. We observed a positive but minimal association between integration and MA enrollment (a 1 percentage point increase in county-wide physicians integrated was associated with a 0.007 percentage point increase in MA penetration). Given this result, we doubt these results would be fully explained by patients switching into MA, but this relationship should be examined in future work.

A third interpretation is that our results reflected changes in the payer mix that disadvantaged Medicare patients. The implications would be that physician workload was reallocated but unchanged in total; access among Medicare patients deteriorated; and access improved among, for example, commercial patients. Once integrated, hospitals may prefer that their physicians treat lucrative commercial patients instead of Medicare patients. Given that commercial reimbursement is about twice that of Medicare for inpatient services and about triple that of Medicare for outpatient services, this interpretation has ample economic rationale.41 Hospital-integrated physicians might also treat more Medicaid42 or uninsured patients; these subjects have been little examined in the literature. Our exploratory analysis of this issue, though far from definitive, did not indicate significantly larger declines in Medicare volume among physicians practicing in areas with more commercial patients compared to those with fewer. Given that this test may not be particularly sensitive, we recommend further research.

A fourth interpretation is that integration reduces physician labor in aggregate. Physicians might continue to treat the same payer mix and engage in similar non-clinical activities but work fewer hours and treat fewer patients across the board. There is economic rationale for this also: hospital-integrated physicians likely face smaller incentives to deliver high volumes of care and see many patients. Prior examples of integration brought hospitals major financial losses in part for this reason.43 Physicians employed by hospitals generally receive a greater share of their compensation via salary compared to physicians in other practice settings.44 Reduced incentives on the margin could lead, as found here, to declines in clinical volume when hospitals employ physicians. This may improve physician work satisfaction while reducing the aggregate supply of physician labor. We point out, though, that if clinical workload declines, it is not a guarantee of better work-life balance, even though lifestyle benefits are sometimes discussed as a potential reason for hospital employment.15, 16, 45 Several lines of evidence cast doubt on the work-life balance explanation: recent research showed that, among full-time employees, physicians working for hospital-owned practices worked about as many hours as those working for physician-owned practices.16 Those hours could, in principle, be more enjoyable, but other lines of evidence suggest that there are bureaucratic costs associated with integration46; that hospital priorities do not always align with work attributes that physicians find satisfying43; and that zero-burnout practices tended to be clinician-owned rather than hospital-owned.47 Interestingly, we found that on a per-claim basis, integrated physicians billed about 13% fewer HCPCS codes, but that RVUs per claim increased by about 10%. This implies that once integrated, physicians or their organizational support staff shift away from lower-RVU services and toward higher-RVU services.

Most of the above interpretations imply reductions, one way or another, in the supply of physician clinical services available to Medicare patients, and the evidence presented here is consistent with reduced supply. Our physician-level analysis was not designed to test patient-level access associated with integration; it is possible that the reduction in integrated physicians' Medicare clinical volume was fully offset by non-integrated physicians or other clinicians absorbing the difference. However, prior work found initial evidence that the integration of a patient's PCP was associated with a per-patient decline in office visits.30 Since hospital-physician integration is rapidly becoming the dominant organizational form in health care delivery, we think it is important to further explore whether this increasingly consolidated landscape exerts contractionary effects on the supply of primary care.

We note several limitations. Our findings apply only to Medicare fee-for-service patients. Results from other payers (e.g., Medicare Advantage, commercial insurers, or Medicaid) may differ; this is an area we recommend for future research. However, one advantage of our data source is that it covers a wide and important swathe of patients, with results pertinent to 38 million patients. Second, we have focused on PCPs. While this setting is clinically important and enabled us to achieve a large sample size, effects may differ among medical specialists or surgeons. Third, if physicians left the workforce, they also left our data: to the extent that integration may have caused physicians to retire or stop treating patients altogether, our estimates would only understate the total reduction in clinical volume that we found here. Some physicians may be predisposed to certain kinds of work settings that would reduce billing productivity. To account for this, our models used physician fixed effects, but time-varying changes in such predispositions are potential unmeasured confounders. If such confounders persisted, our results may not generalize to all unintegrated physicians. Our sample appeared to be representative of the practicing U.S. PCP population (Appendix 2B), although given the data source, we likely exclude physicians who overwhelmingly treat commercial patients and physicians with less stable attachment to the workforce.

Our study points to several promising areas for research. Most obviously, our study could be replicated with other insurers (e.g., Medicare Advantage, Medicaid, or commercial insurance); while outside our scope and the capacity of our data, this would be a welcome complement. Further, studies of physician time use over clinical and administrative tasks could provide useful evidence on the possibilities articulated above, and whether physician practice style, such as longer but fewer visits, is at play.38 Last, whether hospital integration saves physicians from burnout, or, by contrast, increases unsatisfying attributes of the work environment, deserves further exploration.

5 CONCLUSION

Hospital-physician integration affects not only prices and spending but also the composition of and/or the quantity of physician clinical workload. As systems become more integrated, researchers should continue to examine the contexts in which integration may improve physician job satisfaction and increase patient access.

ACKNOWLEDGMENTS

This research was supported by the Agency for Healthcare Research and Quality. Dr. Brent K. Hollenbeck was supported by the Agency for Healthcare Research and Quality (R01HS025707). Dr. Brady Post was supported by the Agency for Healthcare Research and Quality (R36HS02704401).

    CONFLICT OF INTEREST STATEMENT

    As Associate Editor for Urology, Dr. Brent K. Hollenback receives support from Elsevier. Drs. Brady Post, Edward C. Norton, and Andrew M. Ryan have no conflicts to declare.

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