Accountable Care Organization Leader Perspectives on the Medicare Shared Savings Program: A Qualitative Study.

Importance: The Medicare Shared Savings Program (MSSP) includes more than 400 accountable care organizations (ACOs) and is among the largest and longest running value-based payment efforts in the US. However, given recent program reforms and other changes in the health care system, the experiences and perspectives of ACO leaders remain incompletely characterized. Objective: To understand the priorities, strategies, and challenges of ACO leaders in MSSP. Design, Setting, and Participants: In this qualitative study, interviews were conducted with leaders of 49 ACOs of differing sizes, leadership structures, and geographies from MSSP between September 29 and December 29, 2022. Participants were asked about their clinical and care management efforts; how they engaged frontline clinicians; the process by which they distributed shared savings and added or removed practices; and other factors that they believed influenced their success or failure in the program. Main Outcomes and Measures: Leader perspectives on major themes related to ACO initiatives, performance improvement, and the recruitment, engagement, and retention of clinicians. Results: Of the 49 ACOs interviewed, 34 were hospital-associated ACOs (69%), 35 were medium or large (>10 000 attributed beneficiaries) (71%), and 17 were rural (35%). The ACOs had a mean (SD) tenure of 8.1 (2.1) years in MSSP. Five major themes emerged: (1) ACO leaders reported a focus on annual wellness visits, coding practices, and care transitions; (2) leaders used both relationship-based and metrics-based strategies to promote clinician engagement; (3) ACOs generally distributed half or more of shared savings to participating practices; (4) ACO recruitment and retention efforts were increasingly influenced by market competition; and (5) some hospital-associated ACOs faced misaligned incentives. Conclusions and Relevance: In this study, the ACO leaders reported varied approaches to promoting clinician alignment with ACO goals, an emphasis on increasing annual wellness visits, and new pressures related to growth of other care models. Policymakers hoping to modify or expand the program may wish to incorporate these perspectives into future reforms.

Association of Private Equity Firm Acquisition of Ophthalmology Practices with Medicare Spending and Use of Ophthalmology Services.

PURPOSE: Private equity (PE) firms increasingly are acquiring ophthalmology practices; little is known of their influence on care use and spending. We studied changes in use and Medicare spending after PE acquisition. DESIGN: Retrospective cohort study. PARTICIPANTS: Seven hundred sixty-two clinicians in 123 practices acquired by PE between 2017 and 2018 and 34 807 clinicians in 20 549 never-acquired practices. METHODS: We analyzed Medicare fee-for-service claims (2012-2019) combined with a novel national database of PE acquisitions of ophthalmology practices using a difference-in-differences method within an event study framework to compare changes after a practice was acquired with changes in practices that were not acquired. MAIN OUTCOME MEASURES: Numbers of beneficiaries seen; intravitreal injections and medications used for injections; and spending on ophthalmologist and optometrist services, ancillary services, and intravitreal injections. RESULTS: Comparing PE-acquired with nonacquired practices showed a 23.92% increase (n = 4.20 beneficiaries; 95% confidence interval [CI], 1.73-6.67) in beneficiaries seen per PE optometrist per quarter and no change for ophthalmologists, while spending per beneficiary increased 5.06% ($9.66; 95% CI, -2.82 to 22.14). Spending on clinician services decreased 1.62% (-$2.37; 95% CI, -5.78 to 1.04), with ophthalmologist services increasing 5.46% ($17.70; 95% CI, -2.73 to 38.15) and optometrists decreasing 4.60% (-$5.76; 95% CI, -9.17 to -2.34) per beneficiary per quarter. Ancillary services decreased 7.56% (-$2.19; 95% CI, 4.19 to -0.22). Intravitreal injection costs increased 25.0% ($20.02; 95% CI, -1.38 to 41.41) with the number increasing 5.10% (1.83; 95% CI, -0.1 to 3.80). There was a 74.09% increase (8.38 injections; 95% CI, 0.01-16.74) in ranibizumab and a 12.91% decrease (-3.40 injections; 95% CI, -6.86 to 0.07) in bevacizumab after acquisition. The event study showed consistent and often statistically significant increases in ranibizumab injections and decreases in bevacizumab injections after acquisition. CONCLUSIONS: Although not all results reached statistical significance, this study suggested that PE acquisition of practices showed little or no overall effect on use or total spending, but increased the number of unique patients seen per optometrist and the use of expensive intravitreal injections. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Physician Turnover in the United States.

BACKGROUND: Medical groups, health systems, and professional associations are concerned about potential increases in physician turnover, which may affect patient access and quality of care. OBJECTIVE: To examine whether turnover has changed over time and whether it is higher for certain types of physicians or practice settings. DESIGN: The authors developed a novel method using 100% of traditional Medicare billing to create national estimates of turnover. Standardized turnover rates were compared by physician, practice, and patient characteristics. SETTING: Traditional Medicare, 2010 to 2020. PARTICIPANTS: Physicians billing traditional Medicare. MEASUREMENTS: Indicators of physician turnover-physicians who stopped practicing and those who moved from one practice to another-and their sum. RESULTS: The annual rate of turnover increased from 5.3% to 7.2% between 2010 and 2014, was stable through 2017, and increased modestly in 2018 to 7.6%. Most of the increase from 2010 to 2014 came from physicians who stopped practicing increasing from 1.6% to 3.1%; physicians moving increased modestly from 3.7% to 4.2%. Modest but statistically significant (P < 0.001) differences existed across rurality, physician sex, specialty, and patient characteristics. In the second and third quarters of 2020, quarterly turnover was slightly lower than in the corresponding quarters of 2019. LIMITATION: Measurement was based on traditional Medicare claims. CONCLUSION: Over the past decade, physician turnover rates have had periods of increase and stability. These early data, covering the first 3 quarters of 2020, give no indication yet of the COVID-19 pandemic increasing turnover, although continued tracking of turnover is warranted. This novel method will enable future monitoring and further investigations into turnover. PRIMARY FUNDING SOURCE: The Physicians Foundation Center for the Study of Physician Practice and Leadership.

Physician Management Companies and Neonatology Prices, Utilization, and Clinical Outcomes.

BACKGROUND AND OBJECTIVES: Physician management companies (PMCs) acquire physician practices and contract with hospitals to provide physician management services. We evaluated the association between PMC-NICU affiliations and prices, spending, utilization, and clinical outcomes. METHODS: We linked commercial claims to PMC-NICU affiliations and conducted difference- in-differences analyses comparing changes in prices paid for physician services per critical or intensive care NICU day, length of the NICU stay, physician spending (total paid amount for physician services during stay), spending on hospital services (total paid amount for hospital services during stay), and clinical outcomes in PMC-affiliated versus non-PMC-affiliated NICUs. The study included 2858 infants admitted to 34 PMC-affiliated NICUs and 92 461 infants admitted to 2348 NICUs without an affiliation. RESULTS: PMC affiliation was associated with a differential increase in the mean price of the 5 most common types of critical and intensive care days in NICU admissions by $313 per day (95% confidence interval, $207-$419) for PMC-affiliated versus non- PMC-affiliated NICUs. This represents a 70.4% increase in prices, relative to the preaffiliation period PMC and non- PMC-affiliated NICU means. PMC-NICU affiliation was also associated with a differential increase in physician spending by $5161 per NICU stay (95% confidence interval, $3062-$7260), a 56.4% increase. There was no significant association between PMC-NICU affiliation and changes in length of stay, clinical outcomes, or hospital spending. CONCLUSIONS: PMC affiliation was associated with large increases in prices and total spending for NICU services, but not with changes in length of stay or adverse clinical outcomes.

Healthcare Utilization and Mortality After Hospice Live Discharge Among Medicare Patients With and Without Alzheimer's Disease and Related Dementias.

BACKGROUND: Little is known about post-discharge outcomes among patients who were discharged alive from hospice. OBJECTIVE: To compare healthcare utilization and mortality after hospice live discharge among Medicare patients with and without Alzheimer's disease and related dementias (ADRD). DESIGN: Retrospective cohort study using Medicare claims data of a 20% random sample of Medicare fee-for-service (FFS) patients. PARTICIPANTS: A total of 153,696 Medicare FFS patients experienced live discharge from hospice between 2014 and 2019. MEASURES: Two types of burdensome transition (type 1: live discharge from hospice followed by hospitalization and subsequent hospice readmission; type 2: live discharge from hospice followed by hospitalization with the patient deceased in the hospital), acute care utilization, hospice readmission, and mortality in the 30 and 180 days after live discharge and between live discharge and death. RESULTS: Compared with non-ADRD patients, ADRD patients were less likely to experience burdensome transitions (type 1: adjusted odds ratio [aOR], 0.94; 95% confidence interval [CI], 0.90-0.98; type 2: aOR, 0.70; 95% CI, 0.65-0.75), more likely to have ED visits (aOR, 1.05; 95% CI, 1.01-1.09), less likely to die (aOR, 0.71; 95% CI, 0.69-0.73), and less likely to be readmitted to hospice (aOR, 0.86; 95% CI, 0.84-0.89) 30 days after live discharge. Results of 180-day post-discharge outcomes were largely consistent with results of 30-day outcomes. Among patients who died as of December 31, 2019, ADRD patients were less likely to be hospitalized (aOR, 0.88; 95% CI, 0.85-0.92) and more likely to be readmitted to hospice (aOR, 1.12; 95% CI, 1.08-1.16) between live discharge and death. Significant racial/ethnicity disparities in acute care utilization and mortality after live discharge existed in both ADRD and non-ADRD groups. CONCLUSION: ADRD patients had lower mortality, a longer survival time, a lower rate of hospitalization, and an initially lower but gradually increasing rate of hospice readmission than non-ADRD patients after hospice live discharge. These different trajectories warrant further investigation of the eligibility of their initial hospice enrollment. Black patients had significantly worse outcomes after hospice live discharge compared with White patients.

The Association of Teamlets and Teams with Physician Burnout and Patient Outcomes.

BACKGROUND: Primary care "teamlets" in which a staff member and physician consistently work together might provide a simple, cost-effective way to improve care, with or without insertion within a team. OBJECTIVE: To determine the prevalence and performance of teamlets and teams. DESIGN: Cross-sectional observational study linking survey responses to Medicare claims. PARTICIPANTS: Six hundred eighty-eight general internists and family physicians. INTERVENTIONS: Based on survey responses, physicians were assigned to one of four teamlet/team categories (e.g., teamlet/no team) and, in secondary analyses, to one of eight teamlet/team categories that classified teamlets into high, medium, and low collaboration as perceived by the physician (e.g., teamlet perceived-high collaboration/no team). MAIN MEASURES: Descriptive: percentage of physicians in teamlet/team categories. OUTCOME MEASURES: physician burnout; ambulatory care sensitive emergency department and hospital admissions; Medicare spending. KEY RESULTS: 77.4% of physicians practiced in teamlets; 36.7% in teams. Of the four categories, 49.1% practiced in the teamlet/no team category; 28.3% in the teamlet/team category; 8.4% in no teamlet/team; 14.1% in no teamlet/no team. 15.7%, 47.4%, and 14.4% of physicians practiced in perceived high-, medium-, and low-collaboration teamlets. Physicians who practiced neither in a teamlet nor in a team had significantly lower rates of burnout compared to the three teamlet/team categories. There were no consistent, significant differences in outcomes or Medicare spending by teamlet/team or teamlet perceived-collaboration/team categories compared to no teamlet/no team, for Medicare beneficiaries in general or for dual-eligible beneficiaries. CONCLUSIONS: Most general internists and family physicians practice in teamlets, and some practice in teams, but neither practicing in a teamlet, in a team, or in the two together was associated with lower physician burnout, better outcomes for patients, or lower Medicare spending. Further study is indicated to investigate whether certain types of teamlet, teams, or teamlets within teams can achieve higher performance.

Association Between Individual Primary Care Physician Merit-based Incentive Payment System Score and Measures of Process and Patient Outcomes.

Importance: The Medicare Merit-based Incentive Payment System (MIPS) influences reimbursement for hundreds of thousands of US physicians, but little is known about whether program performance accurately captures the quality of care they provide. Objective: To examine whether primary care physicians' MIPS scores are associated with performance on process and outcome measures. Design, Setting, and Participants: Cross-sectional study of 80 246 US primary care physicians participating in the MIPS program in 2019. Exposures: MIPS score. Main Outcomes and Measures: The association between physician MIPS scores and performance on 5 unadjusted process measures, 6 adjusted outcome measures, and a composite outcome measure. Results: The study population included 3.4 million patients attributed to 80 246 primary care physicians, including 4773 physicians with low MIPS scores (≤30), 6151 physicians with medium MIPS scores (>30-75), and 69 322 physicians with high MIPS scores (>75). Compared with physicians with high MIPS scores, physicians with low MIPS scores had significantly worse mean performance on 3 of 5 process measures: diabetic eye examinations (56.1% vs 63.2%; difference, -7.1 percentage points [95% CI, -8.0 to -6.2]; P < .001), diabetic HbA1c screening (84.6% vs 89.4%; difference, -4.8 percentage points [95% CI, -5.4 to -4.2]; P < .001), and mammography screening (58.2% vs 70.4%; difference, -12.2 percentage points [95% CI, -13.1 to -11.4]; P < .001) but significantly better mean performance on rates of influenza vaccination (78.0% vs 76.8%; difference, 1.2 percentage points [95% CI, 0.0 to 2.5]; P = .045] and tobacco screening (95.0% vs 94.1%; difference, 0.9 percentage points [95% CI, 0.3 to 1.5]; P = .001). MIPS scores were inconsistently associated with risk-adjusted patient outcomes: compared with physicians with high MIPS scores, physicians with low MIPS scores had significantly better mean performance on 1 outcome (307.6 vs 316.4 emergency department visits per 1000 patients; difference, -8.9 [95% CI, -13.7 to -4.1]; P < .001), worse performance on 1 outcome (255.4 vs 225.2 all-cause hospitalizations per 1000 patients; difference, 30.2 [95% CI, 24.8 to 35.7]; P < .001), and did not have significantly different performance on 4 ambulatory care-sensitive admission outcomes. Nineteen percent of physicians with low MIPS scores had composite outcomes performance in the top quintile, while 21% of physicians with high MIPS scores had outcomes in the bottom quintile. Physicians with low MIPS scores but superior outcomes cared for more medically complex and socially vulnerable patients, compared with physicians with low MIPS scores and poor outcomes. Conclusions and Relevance: Among US primary care physicians in 2019, MIPS scores were inconsistently associated with performance on process and outcome measures. These findings suggest that the MIPS program may be ineffective at measuring and incentivizing quality improvement among US physicians.

Combined Treatment of Tanshinone I and Epirubicin Revealed Enhanced Inhibition of Hepatocellular Carcinoma by Targeting PI3K/AKT/HIF-1α.

Background: Epirubicin (EADM) is a common chemotherapeutic agent in hepatocellular carcinoma (HCC). The accumulation of hypoxia-inducible factor-1α (HIF-1α) is an important cause of drug resistance to EADM in HCC. Tanshinone I (Tan I) is an agent with promising anti-cancer effects alone or with other drugs. Some tanshinones mediate HIF-1α regulation via PI3K/AKT. However, the role of Tan I combined with EADM to reduce the resistance of HCC to EADM has not been investigated. Therefore, this study aimed to investigate the combined use of Tan I and EADM in HCC and the underlying mechanism of PI3K/AKT/HIF-1α. Methods: HCC cells were treated with Tan I, EADM, or the combined treatment for 48 hrs. Cell transfection was used to construct HIF-1α overexpression HCC stable cells. Cell viability, colony formation, and flow cytometric assays were used to detect the viability, proliferation, and apoptosis in HCC cells. Synergism between Tan I and EADM were tested by calculating the Bliss synergy score, positive excess over bliss additivism (EOBA), and the combination index (CI). Western blotting analyses were used to detect the levels of ß-actin, HIF-1α, PI3K p110α, p-Akt Thr308, Cleaved Caspase-3, and Cleaved Caspase-9. Toxicity parameters were used to evaluate the safety of the combination in mice. The xenograft model of mice was built by HCC stable cell lines, which was administrated with Tan I, EADM, or a combination of them for 8 weeks. Immunohistochemistry staining (IHC) was used to assess tumor apoptosis in mouse models. Results: Hypoxia could upregulate HIF-1α to induce drug resistance in HCC cancer cells. The combination of Tan I and EADM was synergistic. Although Tan I or EADM alone could inhibit HCC cancer cells, the combination of them could further enhance the cytotoxicity and growth inhibition by targeting the PI3K/AKT/HIF-1α signaling pathway. Furthermore, Tan I and EADM synergistically reversed HIF-1α-mediated drug resistance to inhibit HCC. The results of toxicity parameters showed that the combination was safe in mice. Meanwhile, animal models showed that Tan I not only improved the anti-tumor effect of EADM, but also reduced the drug reactions of EADM-induced weight loss. Conclusion: Our results suggested that Tan I could effectively improve the anti-tumor effect of EADM, and synergize EADM to reverse HIF-1α mediated resistance via targeting PI3K/AKT/HIF-1α signaling pathway.

Physician prices and low-value services: evidence from general internal medicine.

OBJECTIVES: To assess the cross-sectional relationship between prices paid to physicians by commercial insurers and the provision of low-value services. STUDY DESIGN: Observational study design using Health Care Cost Institute claims representing 3 large national commercial insurers. METHODS: The main outcome was count of 19 potential low-value services in 2014. The secondary outcome was total spending on the low-value services. Independent variables of interest were price quintiles based on each physician's mean geographically adjusted price of a mid-level office visit, the most commonly billed service by general internal medicine (GIM) physicians. We estimated the association between physician price quintile and provision of low-value services via negative binomial or generalized linear models with adjustments for measure, region, and patient and physician characteristics. RESULTS: This study included 750,452 commercially insured patients attributed to 28,951 GIM physicians. In 2014, the mean geographically adjusted price for physicians in the highest price quintile was $122.6 vs $54.7 for physicians in the lowest quintile ($67.9 difference; 95% CI, $67.5-$68.3). Relative to patients attributed to the lowest-priced physicians, those attributed to the highest-priced physicians received 3.6, or 22.9%, fewer low-value services per 100 patients (95% CI, 2.7-4.7 services per 100 patients). Spending on low-value services attributed to the highest-priced physicians was 10.9% higher ($520 difference per 100 patients; 95% CI, $167-$872). CONCLUSIONS: Commercially insured patients of high-priced physicians received fewer low-value services, although spending on low-value services was higher. More research is needed to understand why high-priced providers deliver fewer low-value services and whether physician prices are correlated with other measures of quality.

Relationship Between Physician Burnout And The Quality And Cost Of Care For Medicare Beneficiaries Is Complex.

Despite reports of a physician burnout epidemic, there is little research on the relationship between burnout and objective measures of care outcomes and no research on the relationship between burnout and costs of care. Linking survey data from 1,064 family physicians to Medicare claims, we found no consistent statistically significant relationship between seven categories of self-reported burnout and measures of ambulatory care-sensitive admissions, ambulatory care-sensitive emergency department visits, readmissions, or costs. The coefficients for ambulatory care-sensitive admissions and readmissions for all burnout levels, compared with never being burned out, were consistently negative (fewer ambulatory care-sensitive admissions and readmissions), suggesting that, counterintuitively, physicians who report burnout may nevertheless be able to create better outcomes for their patients. Even if true, this hypothesis should not indicate that physician burnout is beneficial or that efforts to reduce physician burnout are unimportant. Our findings suggest that the relationship between burnout and outcomes is complex and requires further investigation.

Association of Physician Management Companies and Private Equity Investment With Commercial Health Care Prices Paid to Anesthesia Practitioners.

IMPORTANCE: Physician management companies (PMCs), often backed by private equity (PE), are increasingly providing staffing and management services to health care facilities, yet little is known of their influence on prices. OBJECTIVE: To study changes in prices paid to practitioners (anesthesiologists and certified registered nurse anesthetists) before and after an outpatient facility contracted with a PMC. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used difference-in-differences methods to compare price changes before and after a facility contracted with a PMC with facilities that did not and to compare differences between PMCs with and without PE investment. Commercial claims data (2012-2017) from 3 large national insurers in the Health Care Cost Institute database were combined with a novel data set of PMC facility contracts to identify prices paid to anesthesia practitioners in hospital outpatient departments and ambulatory surgery centers. The cohort included 2992 facilities that never contracted with a PMC and 672 facilities that contracted with a PMC between 2012 and 2017, collectively representing 2 255 933 anesthesia claims. EXPOSURES: Temporal variation in facility-level exposure to PMC contracts for anesthesia services. MAIN OUTCOMES AND MEASURES: Main outcomes were (1) allowed amounts and the unit price (allowed amounts standardized per unit of service) paid to anesthesia practitioners; and (2) the probability that a practitioner was out of network. RESULTS: From before to after the PMC contract period, allowed amounts increased by 16.5% (+$116.39; 95% CI, $76.11 to $156.67; P < .001), and the unit price increased by 18.7% (+$18.79; 95% CI, $12.73 to $24.84; P < .001) in PMC facilities relative to non-PMC facilities. Results did not show evidence that anesthesia practitioners were moved out of network (+2.25; 95% CI, -2.56 to 7.06; P < .36). In subsample analyses, PMCs without PE investment increased allowed amounts by 12.9% (+$89.88; 95% CI, $42.07 to $137.69; P < .001), while PE-backed PMCs (representing half of the PMCs in the sample) increased allowed amounts by 26.0% ($187.06; 95% CI, $133.59 to $240.52; P < .001). Similar price increases were observed for unit prices. CONCLUSIONS AND RELEVANCE: In this cohort study, prices paid to anesthesia practitioners increased after hospital outpatient departments and ambulatory surgery centers contracted with a PMC and were substantially higher if the PMC received PE investment. This research provides insights into the role of corporate ownership in health care relevant to policy makers, payers, practitioners, and patients.

Association of Surprise-Billing Legislation with Prices Paid to In-Network and Out-of-Network Anesthesiologists in California, Florida, and New York: An Economic Analysis.

Importance: Several states have passed surprise-billing legislation to protect patients from unanticipated out-of-network medical bills, yet little is known about how state laws influence out-of-network prices and whether spillovers exist to in-network prices. Objective: To identify any changes in prices paid to out-of-network anesthesiologists at in-network facilities and to in-network anesthesiologists before and after states passed surprise-billing legislation. Design, Setting, and Participants: This retrospective economic analysis used difference-in-differences methods to compare price changes before and after the passage of legislation in California, Florida, and New York, which passed comprehensive surprise-billing legislation between January 1, 2014, and December 31, 2017, to 45 states that did not. Commercial claims data from the Health Care Cost Institute were used to identify prices paid to anesthesiologists in hospital outpatient departments and ambulatory surgery centers. The final analytic sample comprised 2 713 913 anesthesia claims across the 3 treated states and the 45 control states. Exposures: Temporal and state-level variation in exposure to surprise-billing legislation. Main Outcomes and Measures: The unit price (allowed amounts standardized per unit of service) paid to out-of-network anesthesiologists at in-network facilities and to in-network anesthesiologists. Results: This retrospective economic analysis of 2 713 913 anesthesia claims found that after surprise-billing laws were passed in 3 states, the unit price paid to out-of-network anesthesiologists at in-network facilities decreased significantly in 2 of them: California, -$12.71 (95% CI, -$25.70 to -$0.27; P = .05) and Florida, -$35.67 (95% CI, -$46.27 to -$25.07; P < .001). In New York, a decline in the overall out-of-network price was not statistically significant (-$7.91; 95% CI, -$17.48 to -$1.68; P = .10); however, by the fourth quarter of 2017, the decline was -$41.28 (95% CI, -$70.24 to -$12.33; P = .01). In-network prices decreased in California by -$10.68 (95% CI, -$12.70 to -$8.66; P < .001); in Florida, -$3.18 (95% CI, -$5.17 to -$1.19; P = .002); and in New York, -$8.05 (95% CI, -$11.46 to -$4.64; P < .001). Conclusions and Relevance: This retrospective study found that prices paid to in-network and out-of-network anesthesiologists in hospital outpatient departments and ambulatory surgery centers decreased after the introduction of surprise-billing legislation, providing early insights into how prices may change under the federal No Surprises Act and in states that have recently passed their own legislation.

Medication selection, health services outcomes, and cost trajectories for Medicaid beneficiaries with infantile spasms.

OBJECTIVE: There are three recommended first-line treatments for infantile spasms, adrenocorticotropic hormone (ACTH), oral corticosteroids, and vigabatrin, though non-standard treatments such as topiramate are sometimes selected. Is it uncertain how treatment selection influences health services outcomes. METHODS: We conducted a retrospective cohort study of Medicaid beneficiaries newly diagnosed with infantile spasms from 2009-2010. We included infants with a new diagnosis of infantile spasms between age 2-9 months who filled ACTH (reference), prednisolone, vigabatrin, or topiramate prescriptions. Multivariable Cox proportional hazards regression compared time to first emergency department (ED) visit or hospitalization across treatment groups during 2 years of follow-up. Monthly costs for each treatment were examined in 6-month intervals and compared in a multivariable generalized linear model. RESULTS: Among 256 children with infantile spasms, 116 received ACTH, 62 prednisolone, 15 vigabatrin, and 63 topiramate. The rate of ED visit or hospitalization per person-year did not differ significantly for prednisolone (0.9 [95 % CI 0.7-1.2]; adjusted hazard ratio [aHR] 0.84, 95 % CI 0.57-1.24), vigabatrin (0.8 [95 % CI 0.4-1.5]; aHR 0.91, 95% CI 0.45-1.84), or topiramate (1.7 [95 % CI 1.3-2.3]; aHR 1.15, 95 % CI 0.80-1.65), when compared to ACTH (1.1 [95 % CI 0.9-1.3]). The median payment for ACTH was $96,406 (interquartile range 70,742-138,476) during the first 6 months. The adjusted mean total payment in the first 6 months was 73% lower for prednisolone (95% CI -82, -61), 69% lower for vigabatrin (95% CI -84, -40), and 73% lower for topiramate (95% CI -82, -59). However, in subsequent 6-month intervals, costs associated with ACTH were not significantly different compared to other treatments. SIGNIFICANCE: Compared to other treatments for infantile spasms, use of ACTH was associated with greater cost in the first 6 months of treatment, but not with reduced ED visits or hospitalizations. The cost effectiveness of ACTH depends on its relative clinical efficacy, and merits additional research.

Private Equity In Dermatology: Effect On Price, Utilization, And Spending.

Private equity firms have increasingly acquired physician practices, and particularly dermatology practices. Analyzing commercial claims from the Health Care Cost Institute (2012-17), we used a difference-in-differences design within an event study framework to estimate the prevalence of private equity acquisitions and their impact on dermatologist prices, spending, utilization, and volume of patients. By 2017 one in eleven dermatologists practiced in a private equity-owned practice, and private equity-owned practices employed four advanced practitioners for every ten dermatologists compared with three for non-private equity practices. Private equity firms targeted their acquisitions at larger practices that saw more commercially insured patients compared with practices that were never acquired by private equity firms. The volume of patients per private equity dermatologist ranged from 4.7 percent to 17.0 percent higher than the volume per non-private equity dermatologist up to nine quarters after acquisition. At 1.5 years after acquisition, prices paid to private equity dermatologists for routine medical visits were 3-5 percent higher than those paid to non-private equity dermatologists. There was no significant consistent impact on dermatology spending or use of biopsies, lesion destruction, or Mohs surgery. Policy makers and dermatology practice leaders may want to track the rapidly evolving phenomenon of private equity acquisitions.

Physician Prices And The Cost And Quality Of Care For Commercially Insured Patients.

We analyzed the relationship between prices paid to 30,549 general internal medicine physicians and the cost and quality of care for 769,281 commercially insured adults. The highest-price physicians were paid more than twice as much per service, on average, as the lowest-price physicians were. Total annual costs for patients of the highest-price physicians were $996 (20 percent) higher than costs for patients of the lowest-price physicians were, and this variation was not explained by differences in use. Physician prices were not associated with quality: Among physicians in the same hospital referral region, we did not find significant differences between patients of the highest-price physicians and patients of lowest-price physicians in the likelihood of experiencing an ambulatory care-sensitive hospitalization or being readmitted within thirty days of hospital discharge. There were also no differences between the highest- and lowest-price physicians for these quality outcomes for high-need patients. Policy makers need more information on the causes and consequences of the large disparities in prices paid to physicians.