Evidence map›Paper›PMID 26951270›Full record

ArticleJournal of general internal medicine2016

Are Improvements in Measured Performance Driven by Better Treatment or "Denominator Management"?

Alex H S Harris, Cheng Chen, Anna D Rubinsky, Katherine J Hoggatt, Matthew Neuman, Megan E Vanneman

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. The Next Generation of Clinical Performance Measures.Journal of general internal medicine · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alex H S HarrisCenter for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA, 94025, USA. Alexander.Harris2@va.gov.
Cheng ChenCenter for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Anna D RubinskyCenter for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Katherine J HoggattVA Greater Los Angeles Health Care System and University of California Los Angeles, Los Angeles, CA, USA.
Matthew NeumanCenter for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA, 94025, USA.
Megan E VannemanCenter for Innovation to Implementation, VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA, 94025, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProcess measures of healthcare quality are usually formulated as the number of patients who receive evidence-based treatment (numerator) divided by the number of patients in the target population (denominator). When the systems being evaluated can influence which patients are included in the denominator, it is reasonable to wonder if improvements in measured quality are driven by expanding numerators or contracting denominators.

objectiveIn 2003, the US Department of Veteran Affairs (VA) based executive compensation in part on performance on a substance use disorder (SUD) continuity-of-care quality measure. The first goal of this study was to evaluate if implementing the measure in this way resulted in expected improvements in measured performance. The second goal was to examine if the proportion of patients with SUD who qualified for the denominator contracted after the quality measure was implemented, and to describe the facility-level variation in and correlates of denominator contraction or expansion.

designUsing 40 quarters of data straddling the implementation of the performance measure, an interrupted time series design was used to evaluate changes in two outcomes.

participantsAll veterans with an SUD diagnosis in all VA facilities from fiscal year 2000 to 2009. MAIN MEASURES: The two outcomes were 1) measured performance-patients retained/patients qualified and 2) denominator prevalence-patients qualified/patients with SUD program contact. KEY

resultsMeasured performance improved over time (P < 0.001). Notably, the proportion of patients with SUD program contact who qualified for the denominator decreased more rapidly after the measure was implemented (p = 0.02). Facilities with higher pre-implementation denominator prevalence had steeper declines in denominator prevalence after implementation (p < 0.001).

conclusionsThese results should motivate the development of measures that are less vulnerable to denominator management, and also the exploration of "shadow measures" to monitor and reduce undesirable denominator management.

Indexed as

VeteransDisease ManagementFemaleHumansMaleQuality of Health CareReimbursement, IncentiveSubstance Abuse Treatment CentersSubstance-Related DisordersTreatment OutcomeUnited StatesUnited States Department of Veterans Affairsmeasurement reactivityperformance contractsquality measurement

Identifiers

PMID26951270
PMCPMC4803672

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.