Evidence map›Paper›PMID 31860015›Full record

ArticleJAMA internal medicine2020

Mortality Trends for Veterans Hospitalized With Heart Failure and Pneumonia Using Claims-Based vs Clinical Risk-Adjustment Variables.

Gabriella C Silva, Lan Jiang, Roee Gutman, Wen-Chih Wu, Vincent Mor, Michael J Fine, Nancy R Kressin, Amal N Trivedi

Abstract read
In one paragraph

Article in JAMA internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Gabriella C SilvaDepartment of Biostatistics, Brown University School of Public Health, Providence, Rhode Island.
Lan JiangProvidence VA Medical Center, Providence, Rhode Island.
Roee GutmanDepartment of Biostatistics, Brown University School of Public Health, Providence, Rhode Island.
Wen-Chih WuProvidence VA Medical Center, Providence, Rhode Island.
Vincent MorProvidence VA Medical Center, Providence, Rhode Island.
Michael J FineCenter for Health Equity Research and Promotion, Virginia Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Nancy R KressinCenter for Healthcare Organization and Implementation Research, Virginia Boston Healthcare System, Boston, Massachusetts.
Amal N TrivediProvidence VA Medical Center, Providence, Rhode Island.

Funding

Risk-Adjusting Hospital Outcomes for Veteran's Socioeconomic StatusI01HX002104 · VA · PROVIDENCE VA MEDICAL CENTER · PI TRIVEDI, AMAL N. · 2018 to 2020
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HSRD VA I01 HX002104
6 · The paper itself

Abstract

Importance: Prior studies have reported declines in mortality for patients admitted to Veterans Health Administration (VA) and non-VA hospitals using claims-based risk adjustment. These apparent mortality reductions may be influenced by changes in coding practices. Objective: To compare trends in the VA for 30-day mortality following hospitalization for heart failure (HF) and pneumonia using claims-based and clinical risk-adjustment models. Design, Setting, and Participants: This observational time-trend study analyzed admissions to a VA Medical Center with a principal diagnosis of HF, pneumonia, or sepsis/respiratory failure (RF) with a secondary diagnosis of pneumonia. Exclusion criteria included having less than 12 months of VA enrollment, being discharged alive within 24 hours, leaving against medical advice, and hospice utilization. Exposures: Admission to a VA hospital from January 2009 through September 2015. Main Outcomes and Measures: The primary outcome was 30-day, all-cause mortality. All models included age and sex. Claims-based covariates included 22 (30) comorbidities for HF (pneumonia). Clinical covariates included vital signs, laboratory values, and ejection fraction. Results: Among the 146 924 HF admissions, the mean (SD) age was 71.6 (11.4) years and 144 502 (98.4%) were men; among the 131 325 admissions for pneumonia, the mean (SD) age was 70.8 (12.3) years and 127 491 (97.1%) were men. Unadjusted 30-day mortality rates were 6.45% (HF) and 11.22% (pneumonia). Claims-based models showed an increased predicted risk of 30-day mortality over time (0.019 percentage points per quarter for HF [95% CI, 0.015 to 0.023]; 0.053 percentage points per quarter for pneumonia [95% CI, 0.043 to 0.063]). Clinical models showed declines or no change in predicted risk (-0.014 percentage points per quarter for HF [95% CI, -0.020 to -0.008]; -0.004 percentage points per quarter for pneumonia [95% CI, -0.017 to 0.008]). Claims-based risk adjustment yielded declines in 30-day mortality of 0.051 percentage points per quarter for HF (95% CI, -0.074 to -0.027) and 0.084 percentage points per quarter for pneumonia (95% CI, -0.111 to -0.056). Models adjusting for clinical covariates attenuated or eliminated these changes for HF (-0.017 percentage points per quarter; 95% CI, -0.039 to 0.006) and for pneumonia (-0.026 percentage points per quarter; 95% CI, -0.052 to 0.001). Compared with the claims-based models, the clinical models for HF and pneumonia more accurately differentiated between patients who died after 30 days and those who did not. Conclusions and Relevance: Among HF and pneumonia hospitalizations, adjusting for clinical covariates attenuated declines in mortality rates identified using claims-based models. Assessments of temporal trends in 30-day mortality using claims-based risk adjustment should be interpreted with caution.

Indexed as

AgedAged, 80 and overClinical CodingFemaleHeart FailureHospitalizationHospital MortalityHumansMaleMiddle AgedPatient ReadmissionPneumoniaRisk AdjustmentSurvival RateUnited StatesVeterans

Identifiers

PMID31860015
PMCPMC6990854

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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.