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Predictors of High Profit and High Deficit Outliers under SwissDRG of a Tertiary Care Center.

ABSTRACT: PRINCIPLES:Case weights of Diagnosis Related Groups (DRGs) are determined by the average cost of cases from a previous billing period. However, a significant amount of cases are largely over- or underfunded. We therefore decided to analyze earning outliers of our hospital as to search for predictors enabling a better grouping under SwissDRG. METHODS:28,893 inpatient cases without additional private insurance discharged from our hospital in 2012 were included in our analysis. Outliers were defined by the interquartile range method. Predictors for deficit and profit outliers were determined with logistic regressions. Predictors were shortlisted with the LASSO regularized logistic regression method and compared to results of Random forest analysis. 10 of these parameters were selected for quantile regression analysis as to quantify their impact on earnings. RESULTS:Psychiatric diagnosis and admission as an emergency case were significant predictors for higher deficit with negative regression coefficients for all analyzed quantiles (p<0.001). Admission from an external health care provider was a significant predictor for a higher deficit in all but the 90% quantile (p<0.001 for Q10, Q20, Q50, Q80 and p = 0.0017 for Q90). Burns predicted higher earnings for cases which were favorably remunerated (p<0.001 for the 90% quantile). Osteoporosis predicted a higher deficit in the most underfunded cases, but did not predict differences in earnings for balanced or profitable cases (Q10 and Q20: p<0.00, Q50: p = 0.10, Q80: p = 0.88 and Q90: p = 0.52). ICU stay, mechanical and patient clinical complexity level score (PCCL) predicted higher losses at the 10% quantile but also higher profits at the 90% quantile (p<0.001). CONCLUSION:We suggest considering psychiatric diagnosis, admission as an emergency case and admission from an external health care provider as DRG split criteria as they predict large, consistent and significant losses.

SUBMITTER: Mehra T

PROVIDER: S-EPMC4627843 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Predictors of High Profit and High Deficit Outliers under SwissDRG of a Tertiary Care Center.

Mehra Tarun T Müller Christian Thomas Benedikt CT Volbracht Jörk J Seifert Burkhardt B Moos Rudolf R

PloS one 20151030 10

<h4>Principles</h4>Case weights of Diagnosis Related Groups (DRGs) are determined by the average cost of cases from a previous billing period. However, a significant amount of cases are largely over- or underfunded. We therefore decided to analyze earning outliers of our hospital as to search for predictors enabling a better grouping under SwissDRG.<h4>Methods</h4>28,893 inpatient cases without additional private insurance discharged from our hospital in 2012 were included in our analysis. Outli ...[more]

PMID: 26517545

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Project description:INTRODUCTION:Uterine morcellation in minimally invasive surgery has recently come under scrutiny because of inadvertent dissemination of malignant tissue, including leiomyosarcomas commonly mistaken for fibroids. Identification of preoperative risk factors is crucial to ensure that oncologic care is delivered when suspicion for malignancy is high, while offering minimally invasive hysterectomies to the remaining patients. OBJECTIVES:The aim of this study was to characterize risk factors for uterine leiomyosarcomas by reviewing preoperative, intraoperative, and postoperative data with an emphasis on the presence of concurrent fibroids. METHODS:A retrospective case-control study of women undergoing hysterectomy with pathologic diagnosis of uterine leiomyosarcoma at a tertiary care center between January 2005 and April 2014. RESULTS:Thirty-one women were identified with leiomyosarcoma and matched to 124 controls. Cases with leiomyosarcoma were more likely to have undergone menopause and to present with larger uteri (19- vs 9-week sized), with the most common presenting complaint being a pelvic mass (35.5% vs 8.9%). Controls were ten times more likely to have undergone a tubal ligation (30.6% vs 3.2%). Endometrial sampling detected malignancy preoperatively in only 50% of cases. Leiomyosarcomas were more commonly present when pelvic masses were identified in addition to fibroids on preoperative imaging. Most leiomyosarcoma cases (77.4%) were performed by oncologists via an abdominal approach (83.9%), with only 2 of 31 leiomyosarcomas being morcellated. Comparative analysis of preoperative imaging and postoperative pathology showed that in patients with leiomyosarcoma, fibroids were misdiagnosed 58.1% of the time, and leiomyosarcomas arose directly from fibroids in only 6.5% of cases. CONCLUSIONS:Leiomyosarcoma risk factors include older age/postmenopausal status, enlarged uteri of greater than 10 weeks, and lack of previous tubal ligation. Preoperative testing failed to definitively identify leiomyosarcomas, although the presence of synchronous pelvic masses in fibroid uteri should raise clinical suspicion. Given the difficulty of preoperative identification, future efforts should focus on the development of safer minimally invasive techniques for uterine morcellation.

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Predictors of High Profit and High Deficit Outliers under SwissDRG of a Tertiary Care Center.

Publications

Predictors of High Profit and High Deficit Outliers under SwissDRG of a Tertiary Care Center.

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