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6.
Am Econ Rev ; 108(11): 3232-65, 2018 Nov.
Article in English | MEDLINE | ID: mdl-30375804

ABSTRACT

Medicare's prospective payment system for long-term acute-care hospitals (LTCHs) provides modest reimbursements at the beginning of a patient's stay before jumping discontinuously to a large lump-sum payment after a prespecified number of days. We show that LTCHs respond to the financial incentives of this system by disproportionately discharging patients after they cross the large-payment threshold. We find this occurs more often at for-profit facilities, facilities acquired by leading LTCH chains, and facilities colocated with other hospitals. Using a dynamic structural model, we evaluate counterfactual payment policies that would provide substantial savings for Medicare.


Subject(s)
Hospitals, Proprietary/economics , Insurance, Health, Reimbursement/economics , Length of Stay/economics , Long-Term Care/economics , Medicare/economics , Patient Discharge/economics , Economics, Hospital , Humans , Prospective Payment System/economics , United States
7.
JAMA Surg ; 153(4): e176233, 2018 04 18.
Article in English | MEDLINE | ID: mdl-29490366

ABSTRACT

Importance: Increasing value requires improving quality or decreasing costs. In surgery, estimates for the cost of 1 minute of operating room (OR) time vary widely. No benchmark exists for the cost of OR time, nor has there been a comprehensive assessment of what contributes to OR cost. Objectives: To calculate the cost of 1 minute of OR time, assess cost by setting and facility characteristics, and ascertain the proportion of costs that are direct and indirect. Design, Setting, and Participants: This cross-sectional and longitudinal analysis examined annual financial disclosure documents from all comparable short-term general and specialty care hospitals in California from fiscal year (FY) 2005 to FY2014 (N = 3044; FY2014, n = 302). The analysis focused on 2 revenue centers: (1) surgery and recovery and (2) ambulatory surgery. Main Outcomes and Measures: Mean cost of 1 minute of OR time, stratified by setting (inpatient vs ambulatory), teaching status, and hospital ownership. The proportion of cost attributable to indirect and direct expenses was identified; direct expenses were further divided into salary, benefits, supplies, and other direct expenses. Results: In FY2014, a total of 175 of 302 facilities (57.9%) were not for profit, 78 (25.8%) were for profit, and 49 (16.2%) were government owned. Thirty facilities (9.9%) were teaching hospitals. The mean (SD) cost for 1 minute of OR time across California hospitals was $37.45 ($16.04) in the inpatient setting and $36.14 ($19.53) in the ambulatory setting (P = .65). There were no differences in mean expenditures when stratifying by ownership or teaching status except that teaching hospitals had lower mean (SD) expenditures than nonteaching hospitals in the inpatient setting ($29.88 [$9.06] vs $38.29 [$16.43]; P = .006). Direct expenses accounted for 54.6% of total expenses ($20.40 of $37.37) in the inpatient setting and 59.1% of total expenses ($20.90 of $35.39) in the ambulatory setting. Wages and benefits accounted for approximately two-thirds of direct expenses (inpatient, $14.00 of $20.40; ambulatory, $14.35 of $20.90), with nonbillable supplies accounting for less than 10% of total expenses (inpatient, $2.55 of $37.37; ambulatory, $3.33 of $35.39). From FY2005 to FY2014, expenses in the OR have increased faster than the consumer price index and medical consumer price index. Teaching hospitals had slower growth in costs than nonteaching hospitals. Over time, the proportion of expenses dedicated to indirect costs has increased, while the proportion attributable to salary and supplies has decreased. Conclusions and Relevance: The mean cost of OR time is $36 to $37 per minute, using financial data from California's short-term general and specialty hospitals in FY2014. These statewide data provide a generalizable benchmark for the value of OR time. Furthermore, understanding the composition of costs will allow those interested in value improvement to identify high-yield targets.


Subject(s)
Hospital Costs/statistics & numerical data , Hospitals, Proprietary/economics , Hospitals, Public/economics , Hospitals, Teaching/economics , Hospitals, Voluntary/economics , Operating Rooms/economics , Surgicenters/economics , California , Cross-Sectional Studies , Direct Service Costs/statistics & numerical data , Direct Service Costs/trends , Equipment and Supplies, Hospital/economics , Equipment and Supplies, Hospital/trends , Hospital Costs/trends , Humans , Longitudinal Studies , Operating Rooms/trends , Salaries and Fringe Benefits/economics , Salaries and Fringe Benefits/trends , Surgicenters/trends , Time Factors
8.
Health Serv Manage Res ; 31(1): 21-32, 2018 02.
Article in English | MEDLINE | ID: mdl-28876139

ABSTRACT

About 60% of the US hospitals are not-for-profit and it is not clear how traditional theories of capital structure should be adapted to understand the borrowing behavior of not-for-profit hospitals. This paper identifies important determinants of capital structure taken from theories describing for-profit firms as well as prior literature on not-for-profit hospitals. We examine the differential effects these factors have on the capital structure of for-profit and not-for-profit hospitals. Specifically, we use a difference-in-differences regression framework to study how differences in leverage between for-profit and not-for-profit hospitals change in response to key explanatory variables (i.e. tax rates and bankruptcy costs). The sample in this study includes most US short-term general acute hospitals from 2000 to 2012. We find that personal and corporate income taxes and bankruptcy costs have significant and distinct effects on the capital structure of for-profit and not-for-profit hospitals. Specifically, relative to not-for-profit hospitals: (1) higher corporate income tax encourages for-profit hospitals to increase their debt usage; (2) higher personal income tax discourages for-profit hospitals to use debt; and (3) higher expected bankruptcy costs lead for-profit hospitals to use less debt. Over the past decade, the capital structure of for-profit hospitals has been more flexible as compared to that of not-for-profit hospitals. This may suggest that not-for-profit hospitals are more constrained by external financing resources. Particularly, our analysis suggests that not-for-profit hospitals operating in states with high corporate taxes but low personal income taxes may face particular challenges of borrowing funds relative to their for-profit competitors.


Subject(s)
Bankruptcy/economics , Financial Management, Hospital/economics , Hospitals, Proprietary/economics , Hospitals, Voluntary/economics , Hospitals, Voluntary/statistics & numerical data , Taxes/economics , Taxes/statistics & numerical data , Capital Expenditures/statistics & numerical data , Data Interpretation, Statistical , Financial Management, Hospital/statistics & numerical data , Hospitals, Proprietary/statistics & numerical data , Humans , United States
12.
Health Care Manag (Frederick) ; 35(2): 144-50, 2016.
Article in English | MEDLINE | ID: mdl-27111686

ABSTRACT

This study provides a descriptive assessment of the operating performance of for-profit long-term acute-care hospitals owned by multistate, investor-owned companies (large FP LTCHs) compared with FP LTCHs owned by smaller FP companies (small FP LTCHs) and nonprofit LTCHs (NP LTCHs). The study used the Centers for Medicare & Medicaid Services cost report data for 290 LTCHs from 2010 through 2012 to compare the financial performance of large and small FP LTCHs and NP LTCHs. The study found that the median operating profit margin for large FP LTCHs was 8.06%, which was twice as high as that of the small FP LTCHs and NP LTCHs (4.78% and 2.80%, respectively). Larger size, serving a greater proportion of private pay and more complex patients and incurring lower operating expenses, including salary expenses, may account for the higher operating margin of the large FP LTCHs.


Subject(s)
Costs and Cost Analysis/economics , Financial Management, Hospital/economics , Hospitals, Proprietary/economics , Humans , United States
15.
BMJ ; 351: h4466, 2015 Sep 02.
Article in English | MEDLINE | ID: mdl-26333819

ABSTRACT

OBJECTIVE: To compare physician owned hospitals (POHs) with non-POHs on metrics around patient populations, quality of care, costs, and payments. DESIGN: Observational study. SETTING: Acute care hospitals in 95 hospital referral regions in the United States, 2010. PARTICIPANTS: 2186 US acute care hospitals (219 POHs and 1967 non-POHs). MAIN OUTCOME MEASURES: Proportions of patients using Medicaid and those from ethnic and racial minority groups; hospital performance on patient experience metrics, care processes, risk adjusted 30 day mortality, and readmission rates; costs of care; care payments; and Medicare market share. RESULTS: The 219 POHs were more often small (<100 beds), for profit, and in urban areas. 120 of these POHs were general (non-specialty) hospitals. Compared with patients from non-POHs, those from POHs were younger (77.4 v 78.4 years, P<0.001), less likely to be admitted through an emergency department (23.2% v. 29.0%, P<0.001), equally likely to be black (5.1% v 5.5%, P=0.85) or to use Medicaid (14.9% v 15.4%, P=0.75), and had similar numbers of chronic diseases and predicted mortality scores. POHs and non-POHs performed similarly on patient experience scores, processes of care, risk adjusted 30 day mortality, 30 day readmission rates, costs, and payments for acute myocardial infarction, congestive heart failure, and pneumonia. CONCLUSION: Although POHs may treat slightly healthier patients, they do not seem to systematically select more profitable or less disadvantaged patients or to provide lower value care.


Subject(s)
Health Care Costs/statistics & numerical data , Health Services Accessibility , Hospitals, Proprietary , Ownership , Quality of Health Care/standards , Aged , Critical Care/standards , Critical Care/statistics & numerical data , Female , Health Services Accessibility/economics , Health Services Accessibility/standards , Hospital Mortality , Hospitals, Proprietary/economics , Hospitals, Proprietary/standards , Humans , Male , Medicaid/statistics & numerical data , Patient Readmission/statistics & numerical data , Patient Satisfaction/statistics & numerical data , United States
16.
Soc Sci Med ; 133: 53-8, 2015 May.
Article in English | MEDLINE | ID: mdl-25841095

ABSTRACT

In the mid 2000s, in an effort to increase competition among hospitals in France - and thereby reduce hospital care costs - policymakers implemented a prospective payment system and created incentives to promote use of for-profit hospitals. But such policies might incentivize 'upcoding' to higher-reimbursed procedures or overuse of preference-sensitive elective procedures, either of which would offset anticipated cost savings. To explore either possibility, we examined the relative use and costs of admissions for ten common preference-sensitive elective surgical procedures to French not-for profit and for-profit sector hospitals in 2009 and 2010. For each admission type, we compared sector-specific hospitalization characteristics and mean per-admission reimbursement and sector-specific relative rates of lower- and higher-reimbursed procedures. We found that, despite having substantially fewer beds, for-profit hospitals captured a large portion of market for these procedures; further, for-profit admissions were shorter and less expensive, even after adjustment for patient demographics, hospital characteristics, and patterns of admission to different reimbursement categories. While French for-profit hospitals appear to provide more efficient care, we found coding inconsistencies across for-profit and not-for-profit hospitals that may suggest supplier-induced demand and upcoding in for-profit hospitals. Future work should examine sector-specific changes in relative use and billing practices of for elective surgeries, the degree to which these elective surgeries are justified in either sector, and whether outcomes differ according to sector used.


Subject(s)
Elective Surgical Procedures/statistics & numerical data , Hospitals, Proprietary/statistics & numerical data , Hospitals, Public/statistics & numerical data , Patient Admission/statistics & numerical data , France , Health Services Needs and Demand , Health Services Research , Hospital Costs , Hospitals, Proprietary/economics , Hospitals, Public/economics , Humans , Insurance, Health, Reimbursement , Length of Stay/economics , Patient Admission/economics , Regression Analysis
20.
Health Econ ; 24(4): 454-69, 2015 Apr.
Article in English | MEDLINE | ID: mdl-24519749

ABSTRACT

This study investigates whether the diagnosis-related group (DRG)-based payment method motivates hospitals to adjust output mix in order to maximise profits. The hypothesis is that when there is an increase in profitability of a DRG, hospitals will increase the proportion of that DRG (own-price effects) and decrease those of other DRGs (cross-price effects), except in cases where there are scope economies in producing two different DRGs. This conjecture is tested in the context of the case payment scheme (CPS) under Taiwan's National Health Insurance programme over the period of July 1999 to December 2004. To tackle endogeneity of DRG profitability and treatment policy, a fixed-effects three-stage least squares method is applied. The results support the hypothesised own-price and cross-price effects, showing that DRGs which share similar resources appear to be complements rather substitutes. For-profit hospitals do not appear to be more responsive to DRG profitability, possibly because of their institutional characteristics and bonds with local communities. The key conclusion is that DRG-based payments will encourage a type of 'product-range' specialisation, which may improve hospital efficiency in the long run. However, further research is needed on how changes in output mix impact patient access and pay-outs of health insurance.


Subject(s)
Diagnosis-Related Groups/economics , Prospective Payment System/economics , Adolescent , Adult , Aged , Aged, 80 and over , Diagnosis-Related Groups/organization & administration , Diagnosis-Related Groups/statistics & numerical data , Economics, Hospital/organization & administration , Economics, Hospital/statistics & numerical data , Female , Health Policy , Hospital Costs/statistics & numerical data , Hospitals, Proprietary/economics , Hospitals, Proprietary/organization & administration , Humans , Male , Middle Aged , Models, Theoretical , National Health Programs/economics , National Health Programs/organization & administration , National Health Programs/statistics & numerical data , Prospective Payment System/statistics & numerical data , Taiwan , Young Adult
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