Dataset Information

Variation in Do-Not-Resuscitate Orders and Implications for Heart Failure Risk-Adjusted Hospital Mortality Metrics.

ABSTRACT: OBJECTIVES:This study evaluated the effect of patient do-not-resuscitate (DNR) status on hospital risk-adjusted heart failure mortality metrics. BACKGROUND:Do-not-resuscitate orders limit the use of life-sustaining therapies. Patients with DNR orders have increased in-hospital mortality, and DNR rates vary among hospitals. Variations in DNR rates could strongly confound risk-adjusted hospital mortality rates for heart failure. METHODS:We identified a cohort of adults with primary diagnosis of heart failure by using the 2011 California State Inpatient Database, a claims database that captures "early DNR," within 24 h of admission. Hospital-level risk-standardized in-hospital mortality was determined using random effects logistic regression. We explored changes in outlier status in models with and without early DNR status. RESULTS:Among 55,865 patients from 290 hospitals hospitalized with heart failure, 12.1% (11.8% to 12.4%) had an early DNR order. Hospitals with higher risk-standardized DNR rates had higher risk-standardized mortality (? = 0.241; 95% confidence interval [CI]: 0.129 to 0.346; p < 0.001). Including DNR in models used to benchmark hospital mortality improved model performance (c-statistic from 0.821 [95% CI: 0.812 to 0.830] to 0.845 [95% CI: 0.837 to 0.853]; increased model explanatory power by 17%). Including DNR resulted in reclassification of 9.3% of hospitals' outlier status. Agreement in hospital outlier designation between models with and without DNR was low to moderate (kappa coefficient: 0.492; 95% CI: 0.331 to 0.654). CONCLUSIONS:Accounting for DNR status resulted in a change in estimated risk-standardized mortality rates and classification of hospitals as performance "outliers." Given public reporting of heart failure mortality measurements and their influence on reimbursement, accounting for the presence of early DNR orders in quality measures should be considered.

SUBMITTER: Bruckel J

PROVIDER: S-EPMC7552359 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Variation in Do-Not-Resuscitate Orders and Implications for Heart Failure Risk-Adjusted Hospital Mortality Metrics.

Bruckel Jeffrey J Mehta Anuj A Bradley Steven M SM Thomas Sabu S Lowenstein Charles J CJ Nallamothu Brahmajee K BK Walkey Allan J AJ

JACC. Heart failure 20171001 10

<h4>Objectives</h4>This study evaluated the effect of patient do-not-resuscitate (DNR) status on hospital risk-adjusted heart failure mortality metrics.<h4>Background</h4>Do-not-resuscitate orders limit the use of life-sustaining therapies. Patients with DNR orders have increased in-hospital mortality, and DNR rates vary among hospitals. Variations in DNR rates could strongly confound risk-adjusted hospital mortality rates for heart failure.<h4>Methods</h4>We identified a cohort of adults with p ...[more]

PMID: 28958349

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Project description:ImportanceHospital quality measures that do not account for patient do-not-resuscitate (DNR) status may penalize hospitals admitting a greater proportion of patients with limits on life-sustaining treatments.ObjectiveTo evaluate the effect of analytic approaches accounting for DNR status on risk-adjusted hospital mortality rates and performance rankings.Design, setting, and participantsA retrospective, population-based cohort study was conducted among adults hospitalized with pneumonia in 303 California hospitals between January 1 and December 31, 2011. We used hierarchical logistic regression to determine associations between patient DNR status, hospital-level DNR rates, and mortality measures. Changes in hospital risk-adjusted mortality rates after accounting for patient DNR status and interhospital variation in the association between DNR status and mortality were examined. Data analysis was conducted from January 16 to September 16, 2015.ExposuresEarly DNR status (within 24 hours of admission).Main outcomes and measuresIn-hospital mortality, determined using hierarchical logistic regression.ResultsA total of 90,644 pneumonia cases (5.4% of admissions) were identified among the 303 California hospitals evaluated during 2011; mean (SD) age of the patients was 72.5 (13.7) years, 51.5% were women, and 59.3% were white. Hospital DNR rates varied (median, 15.8%; 25th-75th percentile, 8.9%-22.3%). Without accounting for patient DNR status, higher hospital-level DNR rates were associated with increased patient mortality (adjusted odds ratio [OR] for highest-quartile DNR rate vs lowest quartile, 1.17; 95% CI, 1.04-1.32), corresponding to worse hospital mortality rankings. In contrast, after accounting for patient DNR status and between-hospital variation in the association between DNR status and mortality, hospitals with higher DNR rates had lower mortality (adjusted OR for highest-quartile DNR rate vs lowest quartile, 0.79; 95% CI, 0.70-0.89), with reversal of associations between hospital mortality rankings and DNR rates. Only 14 of 27 hospitals (51.9%) characterized as low-performing outliers without accounting for DNR status remained outliers after DNR adjustment. Hospital DNR rates were not significantly associated with composite quality measures of processes of care for pneumonia (r = 0.11; P = .052); however, DNR rates were positively correlated with patient satisfaction scores (r = 0.35; P < .001).Conclusions and relevanceFailure to account for DNR status may confound the evaluation of hospital quality using mortality outcomes, penalizing hospitals that admit a greater proportion of patients with limits on life-sustaining treatments. Stakeholders should seek to improve methods to standardize and report DNR status in hospital discharge records to allow further assessment of implications of adjusting for DNR in quality measures.

Project description:ImportanceThirty-day home time, defined as time spent alive and out of a hospital or facility, is a novel, patient-centered performance metric that incorporates readmission and mortality.ObjectivesTo characterize risk-adjusted 30-day home time in patients discharged with heart failure (HF) as a hospital-level quality metric and evaluate its association with the 30-day risk-standardized readmission rate (RSRR), 30-day risk-standardized mortality rate (RSMR), and 1-year RSMR.Design, setting, and participantsThis hospital-level cohort study retrospectively analyzed 100% of Medicare claims data from 2 968 341 patients from 3134 facilities from January 1, 2012, to November 30, 2017.ExposuresHome time, defined as time spent alive and out of a short-term hospital, skilled nursing facility, or intermediate/long-term facility 30 days after discharge.Main outcomes and measuresFor each hospital, a risk-adjusted 30-day home time for HF was calculated similar to the Centers for Medicare & Medicaid Services risk-adjustment models for 30-day RSRR and RSMR. Hospitals were categorized into quartiles (lowest to highest risk-adjusted home time). The correlations between hospital rates of risk-adjusted 30-day home time and 30-day RSRR, 30-day RSMR, and 1-year RSMR were estimated using the Pearson correlation coefficient. Distribution of days lost from a perfect 30-day home time were calculated. Reclassification of hospital performance using 30-day home time vs 30-day RSRR was also evaluated.ResultsOverall, 2 968 341 patients (mean [SD] age, 81.0 [8.3] years; 53.6% female) from 3134 hospitals were included in this study. The median hospital risk-adjusted 30-day home time for patients with HF was 21.77 days (range, 8.22-28.41 days). Hospitals in the highest quartile of risk-adjusted 30-day home time (best-performing hospitals) were larger (mean [SD] number of beds, 285 [275]), with a higher volume of patients with HF (median, 797 patients; interquartile range, 395-1484) and were more likely academic hospitals (59.9%) with availability of cardiac surgery (51.1%) and cardiac rehabilitation (68.8%). A total of 72% of home time lost was attributable to stays in an intermediate- or long-term care facility (mean [SD], 2.65 [6.44] days) or skilled nursing facility (mean [SD], 3.96 [9.04] days), 13% was attributable to short-term readmissions (mean [SD], 1.25 [3.25] days), and 15% was attributable to death (mean [SD], 1.37 [6.04] days). Among 30-day outcomes, the 30-day RSRR and 30-day RSMR decreased in a graded fashion across increasing 30-day home time categories (correlation coefficients: 30-day RSRR and 30-day home time, -0.23, P < .001; 30-day RSMR and 30-day home time, -0.31, P < .001). Similar patterns of association were also noted for 1-year RSMR and 30-day home time (correlation coefficient, -0.35, P < .001). Thirty-day home time meaningfully reclassified hospital performance in 30% of the hospitals compared with 30-day RSRR and in 25% of hospitals compared with 30-day RSMR.Conclusions and relevanceIn this study, 30-day home time among patients discharged after a hospitalization for HF was objectively assessed as a hospital-level quality metric using Medicare claims data and was associated with readmission and mortality outcomes and with reclassification of hospital performance compared with 30-day RSRR and 30-day RSMR.

Dataset Information

Variation in Do-Not-Resuscitate Orders and Implications for Heart Failure Risk-Adjusted Hospital Mortality Metrics.

Publications

Variation in Do-Not-Resuscitate Orders and Implications for Heart Failure Risk-Adjusted Hospital Mortality Metrics.

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