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Pe Peer Re Review is not simply a hurdle to overcome: an example on transforming a preterm birth cost analysis Norman J Waitzman, PhD Professor and Chair, Economics DeCART, Data Science for the Health Sciences, August 3, 2018 Order of Service


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Pe Peer Re Review is not simply a hurdle to overcome:

an example on transforming a preterm birth cost analysis

Norman J Waitzman, PhD Professor and Chair, Economics DeCART, Data Science for the Health Sciences, August 3, 2018

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Order of Service

  • Overview
  • Brief review of Waitzman analysis for IOM Report on Preterm Birth
  • Stage 1: New Study, review in response to request
  • Stage 2: Digging in the heels.
  • Stage 3: Relent
  • Stage 4: Safe Landing or Crash?
  • Lessons
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Setting the Stage for Launch: IOM Report on Preterm Birth Cost

  • IOM Panel on Preterm Birth convened in 2005, “Causes, Consequences and Prevention”
  • New contribution of the Report is the Analysis of Societal Preterm Birth Costs
  • Direct Medical and Special Education Costs and Indirect Productivity Costs
  • Relied on Utah data (Select Health, Intermountain Health Care) for Medical Care Cost Estimates
  • Adjustments made to project to nation
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IOM Report on Preterm Birth Costs

Final Estimates by Age and Cost Category

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IOM Report on Preterm Birth Costs

Inpatient Medical Cost by GA and Age

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IOM Report on Preterm Birth Costs

Validation Against Earlier Work

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Review Request: Inpatient Costs in one state

  • Update of an earlier analysis that was cited in IOM report
  • Nearly comprehensive linked discharge records (including transfers) from birth hospitalization

(Cost) to birth certificates (GA)

  • Cost-to-Charge ratios to determine incremental cost by GA category (extreme/moderate/mild

preterm relative to term)

  • Maternal costs and professional fees included
  • Conclusion: “Real” cost has increased over time (more heroic attempts at reducing infant

mortality)

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Stage 1 Review: Liftoff (summary statement)

  • “The authors have basically updated their earlier estimates from about a decade ago with 2009-

2011 data. . . . While updates are perhaps always welcome, the justification and indeed, conclusion of the piece is that there have been dramatic increases in costs due to changes in technology.”

  • As it stands, however, the conclusion is not yet well substantiated. If the conclusion is to be

maintained, methods for updating cost need to be applied with greater precision. Otherwise, a more nuanced conclusion is merited.”

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Launch: 3 Pesky Issues

  • COMMENT #1: Statewide preterm rate is incorrect. . . differs substantially from published

rate (CDC).

  • The overall preterm birth rate from the analyses is 12.9%. This is close to 30% higher than the

approximate 10% average preterm birth rate for CA reported in Vital Statistics for 2009-2011 (see Martin et al., "Measuring Gestational Age in Vital Statistics Data, . . .", National Vital Statistics Report 64 (5), June 1, 2015,Table 4). This 30% is the difference from the LMP establishment of preterm birth on the birth certificate. OE, the preferred method, was significantly lower still, at about 8.7%. One assumes that LMP was adopted for this study, but the authors should state whether LMP or OE was used.

  • But, even if LMP was used, the critical question is how does one reconcile a so-called

population estimate of 12.9% with a 10% official rate?

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Pesky Issue #2

  • COMMENT #2 Inflation adjustment is critical to the conclusion of REAL COST INCREASES, but a general

rate is used (CPI) rather than one tailored to the services provided

  • First, . . . National rather than state specific CPI. Second, and of greatest import, is the rationale for using a

general CPI rather than an index tailored to health care. The CPI is for all goods and services in a consumer

  • basket. It also reflects transaction prices rather than costs. This study, on the other hand, specifically

addresses inpatient hospital services, and its costs, not reimbursements.

  • The inpatient hospital producer price index (PPI) would appear to be the closest to the best possible index to

adjust these costs (producer prices reflect actual prices paid for inputs, approximating costs). That PPI has increased dramatically faster over the past decade than has the CPI, and when deployed, the residual increase in cost dwindles to the extent that the uncovered increase could border on noise . . .

  • Aside from the stark difference in the overall preterm birth rate from national statistics and that uncovered in

this analysis noted above, this is the major issue with the manuscript, as it leaves its primary justification/conclusion (major cost-driving changes over the past decade in technology) wanting.

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Pesky Issue #3

  • COMMENT #3 Assymetry in Methods for Estimating Facility Costs versus Professional

Fees, which are absent from the Discharge Abstracts

  • why was the physician fee algorithm by DRG adjusted by payer type if the estimate is for cost

and not reimbursement? This creates an asymmetry relative to inpatient hospital costs using cost-to-charge ratios where all like DRGs are accorded the same cost regardless of payer. If specialty mix are different by payer, then fine.

  • Otherwise, it would seem that there should be a single cost estimate for the physician portion

regardless of payer so as to avoid inconsistency.

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Stepping Back: Rudimentary Principles Underlying Comments

An Expenditure or Cost is Price X Quantity (P x Q). If the claim is that intensity of services, “Q’s” have grown, have to adjust properly for “P’s”. Authors have not. “Charge” is not “Reimbursement” which departs from“Cost.” Cost is estimate of value of Real Resources; Reimbursement is amount paid and may reflect market power and conditions; Charges are simply an accounting mechanism with no definitive relationship to cost. Discharge abstracts permit estimates of “Cost” through “Cost-to-Charge” ratios. Methods applied to professional fees, however, rely on “reimbursement”, not cost. State or area costs vary and change differently from a national trajectory. Improper to apply national indices to adjust for local estimates.

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Recommendation to Editor (“no such thing as a free launch”)

REVISE, with Major Revisions

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The Empire Strikes Back: Author Response

  • #1 Preterm Birth Rate: Minor modification to make OE estimate (10.2%) rather than LMP

estimate

  • #2 Use of general price index: Respectfully disagree that the general CPI is inappropriate
  • #3 Asymmetry of Method: Peer-reviewed methodology was used, no alternative available.
  • In other words, “We choose to blow off the issues raised by the review.”
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Return of the Jedi: Reviewer Comment Iteration #2

  • Comment #1 Discrepancies with CDC published preterm rate
  • There seems to be a fundamental misreading of the reviewer's comment in this response. The

referenced Vital Statistics report, as the reviewer noted in the initial review, showed an 8.7% estimate by the OE method and 10% for the LMP method. By switching to the OE method and arriving now at a 10.2% preterm rate, there is no consistency with current data at all as claimed by the authors.

  • A relevant extension of a different comment: This is a partial response. Why not a validation

exercise as suggested?

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Jedi Returns: Comment #2

  • Comment #2 CDC Index for Cost Adjustment
  • If one gives the benefit of the doubt, the authors undertook a very cursory reading of the reviewer's comment. A less

generous assessment is that the authors lack s rudimentary command of the extensive price index literature, particularly in the area of health care economics, concerning which index is most appropriate under what context. . . . [T]hey are comparing a specific type of health care service (inpatient delivery care) several years ago to the same type years later, and seek to express the change in real terms. That is how it is used in the referenced paragraph. The reviewer suggested an index tailored precisely to what the authors are assessing, the producer price index (PPI) for inpatient care. This index does not suffer the weaknesses of transaction prices that the authors appear to claim. In one recent review in a vast literature on the appropriate price index to apply in health care analysis, I quote: "To adjust estimates of costs of inpatient services from different years, the PPI for inpatient services appears currently to be the best option (Dunn, Grosse and Zuvekas. 2016. "Adjusting Health Expenditures for Inflation: A Review of Measures for Health Services Research in the United States" Health Services Research, 175-196. DOI: 10.1111/1475-6773.12612).

  • The use of the PPI challenges the fundamental conclusion about the extent of real increases in preterm delivery care
  • ver time.
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Jedi Returns: Comment #3

  • Comment #3 CDC Asymmetry of methods between facility and professional costs
  • As noted in the initial comment, the Peterson et al. (2015) did not provide the means to

undertake a proper adjustment to cost, thereby yielding asymmetric methods on the professional versus inpatient facility components of estimates in this paper The authors, it would seem, would either 1) acknowledge the asymmetry in method , that one reflects "cost" whereas the other reflects "payment" and therefore there estimates are not uniformly

  • either. Or, preferably, 2) they would, perhaps use literature on % that Medicaid fees to

physicians for inpatient delivery services covers cost or Medicaid as % of Medicare payment to physicians (treating Medicare as cost-based numerare)., and then adjust Medicaid payment from Peterson et al. across the board accordingly.

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Stage 3: Still in flight or short on fuel?

  • Preterm Rate Discrepancy Resolved: Algorithm applied to missing

GA values (Kotelchuck) wrong, generation of new results (Reviewer thanked profusely)

  • General inpatient PPI now applied to adjust for inflation
  • Recommendation #1 (easiest) applied to asymmetry problem
  • Modification of conclusion: Intensity of services in the “Extreme”

part of the GA spectrum drives increase in real cost with caveats

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Stage 3 Reviewer Response to Editor

ACCEPT, with minor revisions

Comment on an even more precise index: This paper has come a long way … and the authors are very close. The "general and surgical hospital" component of the PPI is clearly the superior index for this piece (as the overall PPI includes psychiatric and other specialty hospitals, and also Medicare payment). As the general and surgical hospital hospital PPI is split for the period required by payer (Medicare/Medicaid/Private and Other, and given nearly all births are Medicaid reimbursed or Private/Other, the "best" index, it would seem to the reviewer, would be Medicaid general and surgical PPI applied to discharges where Medicaid was expected payer and Private/Other for other discharges. . . . This modification would not require a lot of effort.

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Stage 4: Safe or Crash Landing?

Authors return to recalcitrance: disagree with the more refined index

  • COMMENT: the authors have attempted to finesse [the index issue] through a smorgasbord of assertions and

responses:

  • 1) reinforcing that the reviewer agrees that there is no "perfect" index.
  • Response: Well, little is "perfect" in the area of academic empirical work, let along in other areas. What matters

is what is superior in the context

  • 2) the authors maintain that the authors suggestion of an index is not superior because it is based on an

unproven assertion of unchanged market power in the hospital sector;

  • response: in fact much of traditional economics proceeds on such assumptions about long run competition, and

lacking any empirical foundation for contradicting it or for greater market concentration, this argument runs against the thrust of the discipline;

  • 3) it is actually a lot of work to change the index because it would require changing tables (again!).
  • Response: Sometimes improvement requires a bit, perhaps substantial, additional effort
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Stage 4: Safe or Crash Landing?

  • 4) this modification would not allow comparison to the earlier analysis any more because the

suggested index does not go far enough back.

  • Response: true, but the comparison could be made using the index they currently use and

acknowledge the limitation involved. Furthermore, while this historical comparison is provided for insights, the iterations of the paper demonstrate that the historical insights have evolved

  • ver review due precisely to methodological issues. . . . . . .
  • 5)the suggested index has not been widely used in the literature before.
  • Response: Of course, this is a relatively new index and when superior methods present

themselves, one should not be shy about adopting them.

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Stage 4: Final Recommendation to the Editor

None of the assertions by the authors essentially challenges the superiority of the suggested index. And yet, as it stands, this is a worthwhile contribution, and perhaps 3) should be taken most seriously . . . that the additional benefit derived from the extra effort is not justified by the effort. The readers will simply have to take the stated limitations seriously and cautiously digest the stated lessons. It is not just incumbent upon these authors, but other health economists, to take the fundamental issues involved with deploying price indices more seriously rather than cavalierly adopting an erroneous protocol as they approach their empirical work, as good policy is

  • ften contingent upon it.

Recommendation: Accept, No Revisions (final disposition still

  • utstanding)
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Lessons?

What did the peer review process accomplish? Could it have been improved