Dataset Information

Risk-Adjusted Margin Positivity Rate as a Surgical Quality Metric for Non-Small Cell Lung Cancer.

ABSTRACT: BACKGROUND:Incomplete lung cancer resection connotes poor prognosis; the incidence varies with patient demographic, clinical, and institutional factors. We sought to develop a valid, survival impactful, facility-based surgical quality metric that adjusts for related patient demographic and clinical characteristics. METHODS:Facilities performing resections for patients diagnosed with stage I to IIIA non-small cell lung cancer in the National Cancer Data Base between 2004 and 2011 were identified. Multivariate logistic regression modeling was used to estimate the expected number of margin-positive cases by adjusting for patient risk mix and calculate the observed-to-expected ratio for each facility. Facilities were categorized as outperformers (observed-to-expected ratio less than 1, p < 0.05), nonoutliers (p > 0.05), and underperformers (observed-to-expected ratio greater than 1, p < 0.05); and their characteristics across performance categories were compared by ?2 tests. Multivariate Cox proportional hazard analyses were conducted, adjusting for patient demographic and clinical characteristics. RESULTS:A total of 96,324 patients underwent surgery at 809 facilities. The overall observed margin-positive rate was 4.4%. Sixty-one facilities (8%) were outperformers, 644 (80%) were nonoutliers, and 104 (13%) were underperformers. One third (36%) of National Cancer Institute-designated facilities, 13% of academic comprehensive cancer programs, 5% of comprehensive community cancer programs, and 13% of "other" facilities achieved outperforming status but no community cancer programs did. Interestingly, 9% of National Cancer Institute-designated facilities and 11% of academic comprehensive cancer program facilities were underperformers. Adjusting for patient demographic and clinical characteristics, outperformers had a 5-year all-cause hazard ratio of 0.88 (95% confidence interval: 0.85 to 0.91, p < 0.0001) compared with nonoutliers, and 0.80 (95% confidence interval: 0.77 to 0.84, p < 0.0001) compared with underperformers. CONCLUSIONS:Facility performance in lung cancer surgery can be captured by the risk-adjusted margin-positivity rate, potentially providing a valid quality improvement metric.

SUBMITTER: Lin CC

PROVIDER: S-EPMC5610071 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Risk-Adjusted Margin Positivity Rate as a Surgical Quality Metric for Non-Small Cell Lung Cancer.

Lin Chun Chieh CC Smeltzer Matthew P MP Jemal Ahmedin A Osarogiagbon Raymond U RU

The Annals of thoracic surgery 20170712 4

<h4>Background</h4>Incomplete lung cancer resection connotes poor prognosis; the incidence varies with patient demographic, clinical, and institutional factors. We sought to develop a valid, survival impactful, facility-based surgical quality metric that adjusts for related patient demographic and clinical characteristics.<h4>Methods</h4>Facilities performing resections for patients diagnosed with stage I to IIIA non-small cell lung cancer in the National Cancer Data Base between 2004 and 2011 w ...[more]

PMID: 28709665

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Project description:Importance:The existing readmission quality metric does not meaningfully distinguish readmissions associated with surgical quality from those that are not associated with surgical quality and thus may not reflect the quality of surgical care. Objective:To compare a quality metric that classifies readmissions associated with surgical quality with the existing metric of any unplanned readmission in a surgical population. Design, Setting, and Participants:Cohort study using US nationwide administrative data collected on 4 high-volume surgical procedures performed at 103 Veterans Affairs hospitals from October 1, 2007, through September 30, 2014. Data analysis was conducted from October 1, 2017, to January 24, 2019. Main Outcomes and Measures:Hospital-level rates of unplanned readmission (existing metric) and surgical readmissions associated with surgical quality (new metric) in the 30 days following hospital discharge for an inpatient surgical procedure. Results:The study population included 109?258 patients who underwent surgery at 103 hospitals. Patients were majority male (94.1%) and white (78.2%) with a mean (SD) age of 64.0 (10.0) years at the time of surgery. After case-mix adjustment, 30-day surgical readmissions ranged from 4.6% (95% CI, 4.5%-4.8%) among knee arthroplasties to 11.1% (95% CI, 10.9%-11.3%) among colorectal resections. The new surgical readmission metric was significantly correlated with facility-level postdischarge complications for all procedures, with ? coefficients ranging from 0.33 (95% CI, 0.13-0.51) for cholecystectomy to 0.52 (95% CI, 0.38-0.68) for colorectal resection. Correlations between postdischarge complications and the new surgical readmission metric were higher than correlations between complications and the existing readmission metric for all procedures examined (knee arthroplasty: 0.50 vs 0.48; hip replacement: 0.44 vs 0.18; colorectal resection: 0.52 vs 0.42; and cholecystectomy: 0.33 vs 0.10). When compared with using the existing readmission metric, using the new surgical readmission metric could change hip replacement-associated payment penalty determinations in 28.4% of hospitals and knee arthroplasty-associated penalties in 26.0% of hospitals. Conclusions and Relevance:In this study, surgical quality-associated readmissions were more correlated with postdischarge complications at a higher rate than were unplanned readmissions. Thus, a metric based on such readmissions may be a better measure of surgical care quality. This work provides an important step in the development of future value-based payments and promotes evidence-based quality metrics targeting the quality of surgical care.

Project description:Epidemic control may be hampered when the percentage of asymptomatic cases is high. Seeking remedies for this problem, test positivity was explored between the first 60 to 90 epidemic days in six countries that reported their first COVID-19 case between February and March 2020: Argentina, Bolivia, Chile, Cuba, Mexico, and Uruguay. Test positivity (TP) is the percentage of test-positive individuals reported on a given day out of all individuals tested the same day. To generate both country-specific and multi-country information, this study was implemented in two stages. First, the epidemiologic data of the country infected last (Uruguay) were analyzed. If at least one TP-related analysis yielded a statistically significant relationship, later assessments would investigate the six countries. The Uruguayan data indicated (i) a positive correlation between daily TP and daily new cases (r = 0.75); (ii) a negative correlation between TP and the number of tests conducted per million inhabitants (TPMI, r = -0.66); and (iii) three temporal stages, which differed from one another in both TP and TPMI medians (p < 0.01) and, together, revealed a negative relationship between TPMI and TP. No significant relationship was found between TP and the number of active or recovered patients. The six countries showed a positive correlation between TP and the number of deaths/million inhabitants (DMI, r = 0.65, p < 0.01). With one exception -a country where isolation was not pursued-, all countries showed a negative correlation between TP and TPMI (r = 0.74). The temporal analysis of country-specific policies revealed four patterns, characterized by: (1) low TPMI and high DMI, (2) high TPMI and low DMI; (3) an intermediate pattern, and (4) high TPMI and high DMI. Findings support the hypothesis that test positivity may guide epidemiologic policy-making, provided that policy-related factors are considered and high-resolution geographical data are utilized.

Dataset Information

Risk-Adjusted Margin Positivity Rate as a Surgical Quality Metric for Non-Small Cell Lung Cancer.

Publications

Risk-Adjusted Margin Positivity Rate as a Surgical Quality Metric for Non-Small Cell Lung Cancer.

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