Evidence map›Paper›PMID 26918404›Full record

ArticleMedical care2016

Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations: Rationale, Methods, and Early Results.

Erica S Spatz, Kasia J Lipska, Ying Dai, Haikun Bao, Zhenqiu Lin, Craig S Parzynski, Faseeha K Altaf, Erin K Joyce, Julia A Montague, Joseph S Ross and 3 more

Abstract read
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Comorbidity Type and Health Care Costs in Type 2 Diabetes: A Retrospective Claims Database Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  8. Opportunities and Accountable Care Organizations.Journal of medical systems · 2016
    Article
  9. Article
  10. The Effects of Medicare Accountable Organizations on Inpatient Mortality Rates.Inquiry : a journal of medical care organization, provision and financing
    Article
  11. 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

13 authors.

Erica S Spatz*Section of Cardiovascular Medicine, Yale University School of Medicine †Center for Outcomes Research and Evaluation, Yale-New Haven Hospital Sections of ‡Endocrinology §General Internal Medicine Departments of ∥Internal Medicine, Robert Wood Johnson Foundation Clinical Scholars Program ¶Health Policy and Management #Pediatrics, Yale University School of Medicine, New Haven, CT.
Kasia J Lipska
Ying Dai
Haikun Bao
Zhenqiu Lin
Craig S Parzynski
Faseeha K Altaf
Erin K Joyce
Julia A Montague
Joseph S Ross
Susannah M Bernheim
Harlan M Krumholz
Elizabeth E Drye

Funding

Center for Cardiovascular Outcomes Research at Yale UniversityU01HL105270 · NHLBI · YALE UNIVERSITY · PI CURTIS, JEPTHA PELHAM, KRUMHOLZ, HARLAN MARC · 2010 to 2013
$5.8M
Yale-CORE Career Development Program in Patient-Centered Outcomes ResearchK12HS023000 · AHRQ · YALE UNIVERSITY · PI KRUMHOLZ, HARLAN MARC · 2014 to 2018
$3.4M
Predicting Severe Hypoglycemia among Older Adults with DiabetesK23AG048359 · NIA · YALE UNIVERSITY · PI LIPSKA, KASIA JOANNA · 2014 to 2018
$778k
Impact of Publicity Reporting Hospital Outcome Measures for Older AdultsK08AG032886 · NIA · YALE UNIVERSITY · PI ROSS, JOSEPH SOLOMON · 2008 to 2012
$738k
AHRQ HHS K12 HS023000NHLBI NIH HHS U01 HL105270NHLBI NIH HHS U01 HL105270-05NIA NIH HHS K08 AG032886NIA NIH HHS K08AG032886NIA NIH HHS K23 AG048359
6 · The paper itself

Abstract

backgroundPopulation-based measures of admissions among patients with chronic conditions are important quality indicators of Accountable Care Organizations (ACOs), yet there are challenges in developing measures that enable fair comparisons among providers.

methodsOn the basis of consensus standards for outcome measure development and with expert and stakeholder input on methods decisions, we developed and tested 2 models of risk-standardized acute admission rates (RSAARs) for patients with diabetes and heart failure using 2010-2012 Medicare claims data. Model performance was assessed with deviance R; score reliability was tested with intraclass correlation coefficient. We estimated RSAARs for 114 Shared Savings Program ACOs in 2012 and we assigned ACOs to 3 performance categories: no different, worse than, and better than the national rate.

resultsThe diabetes and heart failure cohorts included 6.5 and 2.6 million Medicare Fee-For-Service beneficiaries aged 65 years and above, respectively. Risk-adjustment variables were age, comorbidities, and condition-specific severity variables, but not socioeconomic status or other contextual factors. We selected hierarchical negative binomial models with the outcome of acute, unplanned hospital admissions per 100 person-years. For the diabetes and heart failure measures, respectively, the models accounted for 22% and 12% of the deviance in outcomes and score reliability was 0.89 and 0.81. For the diabetes measure, 51 (44.7%) ACOs were no different, 45 (39.5%) were better, and 18 (15.8%) were worse than the national rate. The distribution of performance for the heart failure measure was 61 (53.5%), 37 (32.5%), and 16 (14.0%), respectively.

conclusionMeasures of RSAARs for patients with diabetes and heart failure meet criteria for scientific soundness and reveal important variation in quality across ACOs.

Indexed as

Accountable Care OrganizationsAgedAged, 80 and overAge FactorsComorbidityDiabetes MellitusFemaleHeart FailureHumansMaleMedicarePatient AdmissionQuality of Health CareRacial GroupsReproducibility of ResultsRisk Adjustment

Identifiers

PMID26918404
PMCPMC5356461

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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.