Analysis of Hospital Production-An Output Index Approach.ppt

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1、Analysis of Hospital Production: An Output Index Approach,Martin Gaynor Carnegie Mellon, NBER, CMPO Samuel A. Kleiner Carnegie Mellon William B. Vogt Rand and NBERConference on Public Organisation Centre for Market and Public Organisation University of Bristol June 11-12, 2008,2,2,Hospital Costs and

2、 Policy,Price regulation PbR (UK), Medicare, Medicaid (US), Want price to reflect marginal costs Antitrust Merging parties normally claim efficiencies defense That is, economies of scale (possibly scope) Failing firm defense Planning Want to know scale, scope Specialty hospitals Are scope economies/

3、diseconomies important? Are scale economies/diseconomies important?,3,3,Hospital Costs and Economics,There are many outputs Over 500 DRGs Thousands of ICD codes There is significant individual heterogeneity within outputs Age, sex, race Comorbidities, etc Hospital have these characteristics in commo

4、n with other service industries Outputs difficult to pin down “Mass-customization” E.g., education, legal services, haircuts, Even “traditional” industries: electric power generation, steel manufacturing, shoes, brewing,.,4,Output Aggregation,Too many outputs to estimate econometric cost function wi

5、th individual outputs Curse of dimensionality Need to aggregate Economic Theory of Output Index Ratios of marginal costs of aggregated outputs are independent of input prices (Hall, 1973) Implies that outputs within an aggregation category should be similar with regard to input requirements,5,5,Prev

6、ious Hospital Cost Studies,Most hospital studies are conducted using older data (1970s, 80s) Technology has changed since previous studies No firm conclusions as to the extent of scale economies and very limited evidence of scope economies Scale Economies Cowing and Holtman (1983), Vita (1990), Gayn

7、or and Anderson (1995), Carey (1997), Dranove (1998), Hughes and McGuire (2003), Preyra and Pink (2006) No Scale Economies Grannemann et. al. (1986), Keeler and Ying (1996), Conrad and Strauss (1983), Fournier and Mitchell (1992) Output typically defined as discharges or patient days, casemix variab

8、le added to function Ad hoc Clearly not consistent with requirements for aggregation Preyra and Pink aggregate inpatient care into primary/secondary, tertiary,6,A Scale Economies Problem,Outputs captured in a crude way in previous work It seems clear that more complex cases typically go to bigger ho

9、spitals These two facts would seem to argue that scale economies are understated using conventional methods Big hospitals look more expensive than they are due to more complex case mix,7,7,Research Objectives,Develop method for estimating hospital costs which: takes account of hundreds of outputs ta

10、kes account of individual patient heterogeneity attempts to aggregate in a way thats consistent with economic theory Use these methods to estimate hospital cost function with CA data Use these methods to evaluate scale and scope economies & compare to more typical methods,8,8,Our Method vs. Previous

11、,Previous literature uses crude output categories and adds an ad hoc casemix adjustment to take account of heterogeneity,We construct output indexes which build in output diversity and individual heterogeneity from the start We estimate a long run cost function,9,Setup,Create 76 different hospital o

12、utputs 25 MDC codes Each with 3 levels of care (primary, secondary, tertiary) Plus outpatient care Each individual patient consumes his own individualized quantity of one of these 76 outputs Outputs are aggregated upwards via output index,10,Setup, 2,Normal translog cost function with four aggregate

13、 outputs at the top level, primary, secondary, tertiary, outpatient Economies of scale, scope for these aggregate outputs estimated in the normal way, roughly Each top level output is an index of lower level outputs - corresponding to the 25 MDCs is a measure of scope economies within top-level outp

14、uts 1: economies - C(Y(Q1,Q2) C(Y(Q1, 0),10,11,Setup, 3,Each individual consumes a certain quantity of one of the outputs (primary, secondary, tertiary) That quantity depends on his characteristics, qik= exp( Xik k), k = P,S,T Individual characteristics include DRG, age, sex, race, number of seconda

15、ry procedures, number of secondary diagnoses, unscheduled admission Accounts for individualized nature of hospital production,12,Setup, 4,Then, each hospitals level of each output is calculated by summing over the patients seeking care there:Iij is an indicator for patient i seeking care at hospital

16、 j In is an indicator for patient is diagnosis is in specialty n,13,Aggregate Output Classes,Classify inpatient output into four categories based upon input intensiveness Primary Care: Inpatient illnesses which are least complex to treat Secondary Care: Complex problems, specialist providers Tertiar

17、y Care: Highly specialized providers, sophisticated equipment Outpatient Care: Used hospital but not admitted as a registered bed patient This classification is based on DRG Rank DRGS based on: % of hospitals performing DRG, % of patients traveling for this DRG, % of procedures performed in teaching

18、 hospital, DRG weight Top ranked 10% of discharges: tertiary Next 40%: secondary Lowest 50%: primary,14,Examples of Tertiary Care,Nervous System DRG 3: Craniotomy (brain surgery) DRG 9: Spinal disorders & injuries Circulatory System DRG 103: Heart transplant DRG 107: Coronary bypass with cardiac cat

19、heter Newborn DRG 386: Extreme immaturity or respiratory distress syndrome DRG 387: Prematurity with major problems,14,15,Examples of Secondary Care,Nervous System DRG 20: Nervous system infection DRG 10: Nervous system tumors with complications Circulatory System DRG 130: Peripheral vascular disord

20、ers with complicationsDRG 118: Pacemaker replacement Newborn DRG 389: Full-term neonate with major problems DRG 388: Premature delivery,15,16,Examples of Primary Care,Nervous System DRG 23: Nontraumatic stupor & coma DRG 524: Transient ischemia (A neurological event with the signs and symptoms of a

21、stroke, but which go away within a short period of time) Circulatory System DRG 131: Peripheral vascular disorders without complications DRG 134: Hypertension Newborn DRG 391: Normal newborn,16,17,17,Estimating q,Motivation: To adjust for patient characteristics which relate to treatment intensityAs

22、sume that hospital charges (Hijkn) can be expressed as:,What we observe,Change in cost for output type k at hospital j,Change in output type k for additional unit of specialty n,18,18,Output Index,Taking logs and imposing qik= exp( Xik k), we estimate the equation:where jkn is a hospital-output type

23、-specialty (MDC) specific fixed effect (321325=24,075)X ik is a vector of observable consumer characteristics (# procedures, # diagnoses, age, etc.)k is a vector of coefficients for these characteristics Log quantity for individual i based on their observable characteristics: Quantity for each hospi

24、tal for output type k, specialty n is , and the quantity of inpatient output type k at hospital j is,19,19,Translog Cost Function,Second order approximation in logs to an arbitrary functional form with M inputs and K outputs (8 inputs, 4 outputs) Shephards Lemma implies cost share equations can be w

25、ritten as:Estimated using Nonlinear Seemingly Unrelated Regression,with restrictions:,20,Estimation,The usual parameters of a translog cost function are estimated In addition, for each aggregate output must be estimated Introduces significant nonlinearities to the estimation In addition, is estimate

26、d for each aggregate output category,21,21,Data,Data are from Californias Office of Statewide Health Planning and Development (OSHPD) for 2003Discharge Data Contains information on patient demographic and diagnosis characteristics 3.47 million observations out of 3.9 million Include: Individuals wit

27、h data on total charges Individuals from hospitals described below Financial Data Contains information on operating expenses, wages, ownership, facility size 321 Hospitals Exclude: Specialty hospitals (long-term care, psychiatric, chemical dependency, childrens hospitals) Hospitals not reporting dat

28、a on charges (Kaiser & Shriners hospitals),22,22,Variables,Costs: Total Operating Expenses Inputs Hourly wages for Nurses (RNs and LVNs), Technical Labor, Aides & Orderlies, Clerical Labor, Management Equipment and Supplies Capital price per bedsq. ft.*construction cost*(int. rate) + (depr. rate)/be

29、ds Outputs: Primary Care, Secondary Care, Tertiary Care, Outpatient Care,23,Data- Individuals,23,24,Data- Hospitals,24,25,Average Quantity Weights-Example,25,Quantity weights:,26,Diversification Parameter Estimates,Tertiary Care (t = 0.44 0.35, 0.52)- Implies diversification more expensive19% saving

30、s to providing mean amount of tertiary care (989 discharges) in five MDCs versus tenSecondary Care (s = 0.48 0.37, 0.58)- Implies diversification more expensive8% savings to providing mean amount of secondary care (3,990 discharges) in five MDCs versus tenPrimary Care (p = 1.67 0.44, 2.89)- Implies

31、diversification less expensive1% savings to providing mean amount of primary care (5,129 discharges) in ten MDCs versus five,26,27,27,Marginal Costs and Input Elasticities,28,28,Economies of Scale,For multi-product firms, economies of scale calculated as where a value greater than 1 indicates econom

32、ies of scale, less than 1 indicates diseconomies of scale.,29,Economies of Scale,29,30,30,Does the output index produce results different than would be produced using previous output definitions?How do other studies define & classify output? Total discharges or total patient days Inpatient/outpatien

33、t Append a “case mix” index which accounts for the relative severity of illness for a hospitals Medicare populationRe-estimated the cost function Classify output by inpatient/outpatient Use discharge count while appending a case mix index,Relative Performance of Output Index,31,31,Economies of Scale

34、-Comparison,155 beds,32,Economies of Scale-Comparison,32,180 beds,33,Economies of Scale-Comparison,33,220 beds,34,Economies of Scale-Comparison,34,35,35,Economies of Scope,Is it cheaper to produce N products in N specialized firms or in one firm? Are there savings from producing tertiary and seconda

35、ry care together? How about primary and outpatient care? Economies of Scope defined as: - Implies that the marginal cost of producing product i decreases with increases the amount of product j (weak cost complementarities),36,36,Economies of Scope,Economies of Scope at the mean hospital ( 180 beds)

36、between all care types,37,37,Summary and Conclusions,Output index shows diversification across MDCs may be cost increasing for tertiary and secondary care and cost decreasing for primary careOutput index produces estimates of scale economies higher than those recovered from typical methodsEconomies

37、of scope Economies of scope between primary care and secondary care, as well as between primary care and outpatient careSuggests potential for efficiencies (and thus possible benefits to consumers) even for large hospitalsThis kind of method may be applicable to other industries.Future work: panel data, instrumental variables, quality,38,