Evidence map›Paper›PMID 33311842›Full record

ArticleCommunications in statistics: Simulation and computation2020

Impact of Case-Mix Measurement Error on Estimation and Inference in Profiling of Health Care Providers.

Damla Şentürk, Yanjun Chen, Jason P Estes, Luis F Campos, Connie M Rhee, Kamyar Kalantar-Zadeh, Danh V Nguyen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications in statistics: Simulation and computation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. MEASURING PERFORMANCE FOR END-OF-LIFE CARE.The annals of applied statistics · 2022
    Article
  3. Fixed Effects High-Dimensional Profiling Models in Low Information Context.International journal of statistics in medical research · 2021
    Article
  4. 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

7 authors.

Damla ŞentürkDepartment of Biostatistics, University of California, Los Angeles, CA 90095, U.S.A.
Yanjun ChenInstitute for Clinical and Translational Science, University of California, Irvine, CA 92687, U.S.A.
Jason P EstesResearch, Pratt & Whitney, East Hartford, CT 06118, U.S.A.
Luis F CamposDepartment of Statistics, Harvard University, Cambridge, MA 02138, U.S.A.
Connie M RheeHarold Simmons Center for Chronic Disease Research and Epidemiology, University of California Irvine School of Medicine, Orange, CA 92868, U.S.A.
Kamyar Kalantar-ZadehHarold Simmons Center for Chronic Disease Research and Epidemiology, University of California Irvine School of Medicine, Orange, CA 92868, U.S.A.
Danh V NguyenHarold Simmons Center for Chronic Disease Research and Epidemiology, University of California Irvine School of Medicine, Orange, CA 92868, U.S.A.

Funding

Multilevel Time-Dynamic Modeling of Hospitalization and Survival in Patients on DialysisR01DK092232 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KURUM, ESRA, NGUYEN, DANH V · 2011 to 2025
$4.9M
Hypothyroidism, Cardiovascular Health, and Survival in Kidney DiseaseK23DK102903 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI RHEE, CONNIE MEEYOUNG · 2014 to 2018
$955k
NIDDK NIH HHS K23 DK102903NIDDK NIH HHS R01 DK092232
6 · The paper itself

Abstract

Profiling analysis aims to evaluate health care providers by modeling each provider's performance with respect to a patient outcome, such as unplanned hospital readmission. High-dimensional regression models are used in profiling to risk-adjust for patient case-mix covariates. Case-mix covariates typically ascertained from administrative databases are inherently error-prone. We examine the impact of case-mix measurement error (ME) on profiling models. The results show that even though the models' coefficient estimates are biased, this does not affect the estimation of standardized readmission ratio (SRR). However, ME leads to increased variation in SRR estimates and degrades the ability to identify under-performing providers.

Indexed as

fixed effectshierarchical logistic regressionmeasurement errorprofiling analysisrandom effects

Identifiers

PMID33311842
PMCPMC7731965

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.