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The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database.

ABSTRACT: The Clinical Classifications Software (CCS), by grouping International Classification of Diseases (ICD), provides the capacity to better account for clinical conditions for payers, policy makers, and researchers to analyze outcomes, costs, and utilization. There is a critical need for additional research on application of CCS categories to validate the clinical condition representation and to prevent gaps in research. This study compared the event frequency and ICD codes of CCS categories with significant changes from the first three quarters of 2015 to 2016 using National Inpatient Sample data. A total of 63 of the 285 diagnostics CCS were identified with greater than 20% change, of which 32 had increased and 31 decreased over time. Due to the complexity associated with the transition from ICD-9 to ICD-10, more studies are needed to identify the reason for the changes to improve CCS use for ICD-10 and its comparability with ICD-9 based data.

SUBMITTER: Salsabili M

PROVIDER: S-EPMC7233079 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database.

Salsabili Mahsa M Kiogou Sebastien S Adam Terrence J TJ

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science 20200530

The Clinical Classifications Software (CCS), by grouping International Classification of Diseases (ICD), provides the capacity to better account for clinical conditions for payers, policy makers, and researchers to analyze outcomes, costs, and utilization. There is a critical need for additional research on application of CCS categories to validate the clinical condition representation and to prevent gaps in research. This study compared the event frequency and ICD codes of CCS categories with s ...[more]

PMID: 32477676

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Project description:Importance:Publicly available data sets hold much potential, but their unique design may require specific analytic approaches. Objective:To determine adherence to appropriate research practices for a frequently used large public database, the National Inpatient Sample (NIS) of the Agency for Healthcare Research and Quality (AHRQ). Design, Setting, and Participants:In this observational study of the 1082 studies published using the NIS from January 2015 through December 2016, a representative sample of 120 studies was systematically evaluated for adherence to practices required by AHRQ for the design and conduct of research using the NIS. Exposures:None. Main Outcomes and Measures:All studies were evaluated on 7 required research practices based on AHRQ's recommendations and compiled under 3 domains: (1) data interpretation (interpreting data as hospitalization records rather than unique patients); (2) research design (avoiding use in performing state-, hospital-, and physician-level assessments where inappropriate; not using nonspecific administrative secondary diagnosis codes to study in-hospital events); and (3) data analysis (accounting for complex survey design of the NIS and changes in data structure over time). Results:Of 120 published studies, 85% (n?=?102) did not adhere to 1 or more required practices and 62% (n?=?74) did not adhere to 2 or more required practices. An estimated 925 (95% CI, 852-998) NIS publications did not adhere to 1 or more required practices and 696 (95% CI, 596-796) NIS publications did not adhere to 2 or more required practices. A total of 79 sampled studies (68.3% [95% CI, 59.3%-77.3%]) among the 1082 NIS studies screened for eligibility did not account for the effects of sampling error, clustering, and stratification; 62 (54.4% [95% CI, 44.7%-64.0%]) extrapolated nonspecific secondary diagnoses to infer in-hospital events; 45 (40.4% [95% CI, 30.9%-50.0%]) miscategorized hospitalizations as individual patients; 10 (7.1% [95% CI, 2.1%-12.1%]) performed state-level analyses; and 3 (2.9% [95% CI, 0.0%-6.2%]) reported physician-level volume estimates. Of 27 studies (weighted; 218 studies [95% CI, 134-303]) spanning periods of major changes in the data structure of the NIS, 21 (79.7% [95% CI, 62.5%-97.0%]) did not account for the changes. Among the 24 studies published in journals with an impact factor of 10 or greater, 16 (67%) did not adhere to 1 or more practices, and 9 (38%) did not adhere to 2 or more practices. Conclusions and Relevance:In this study of 120 recent publications that used data from the NIS, the majority did not adhere to required practices. Further research is needed to identify strategies to improve the quality of research using the NIS and assess whether there are similar problems with use of other publicly available data sets.

Project description:Abstract Background Research has shown mixed results when comparing in‐hospital complications following atrial fibrillation ablation in women compared to men. Objectives To better quantify sex differences and in‐hospital outcomes in atrial fibrillation ablation procedures and identify factors associated with poorer outcomes. Methods We queried the NIS database from 2016 to 2019 for hospitalizations with a primary diagnosis of atrial fibrillation ablation and excluded patients with any other arrhythmias, ICD/pacemaker placement. We assessed demographics, in‐hospital mortality, and complications of women compared to men. Results Admissions for atrial fibrillation were more common in females than males (849 050 vs. 815 665; p < .001). However, females were less likely to receive ablation (1.65% vs. 2.71%, OR: 0.60; 95% confidence interval: 0.57–0.64, p < .001), which persisted after adjusting for cardiomyopathy (adjusted OR: 0.61; 95% confidence interval: 0.58–0.65, p < .001). The primary outcome of in‐hospital mortality was not statistically different in univariate analysis (0.39% vs. 0.36%, OR: 1.09, 95% CI: 0.44–2.72, p = .84), finding that did not change when adjusted for comorbidities (adjusted OR: 0.94, 95% CI: 0.36–2.49). The complication rate in hospitalized patients following ablation was 8.08%. The total unadjusted complication rate was higher for females than males (9.58% vs. 7.09%, p = .001); however, it was not significant when adjusted for risks (adjusted OR: 1.23, 95% CI: 0.99–1.53, p = .06). Conclusion Female sex is not associated with increased complications or death in a real‐world study of catheter ablation when results are adjusted for risks. However, females admitted with atrial fibrillation receive ablation less often than males during hospital admission. Women make up a larger group of admitted atrial fibrillation patients than males. However, women with atrial fibrillation had a 39% lower likelihood of receiving catheter ablation in the hospital when compared to men. In‐hospital mortality was not statistically different between women and men in univariate and multivariate analyses. The total unadjusted complication rate was higher for women than men; however, it was insignificant when adjusted for risks. When controlled for risk factors, female sex was not associated with increased complications or in‐hospital death in a real‐world study.

Dataset Information

The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database.

Publications

The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database.

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