Understanding Preventable Deaths in the Geriatric Trauma Population: Analysis of 3,452,339 Patients From the Center of Medicare and Medicaid Services Database

Background Patient safety indicators (PSIs) are avoidable complications that can impact outcomes. Geriatric patients have a higher mortality than younger patients with similar injuries, and understanding the etiology may help reduce mortality. We aim to estimate preventable geriatric trauma mortality in the United States and identify PSIs associated with increased preventable mortality. Methods A retrospective cohort study of patients aged ≥65 years, in the CMS database, 2017-second quarter of 2020. Risk-adjusted multivariable regression was performed to calculate observed-to-expected (O/E) mortality ratios for failure-to-prevent and failure-to-rescue PSIs with significance defined as P < .05. Results 3,452,339 geriatric patients were analyzed. Patients aged 75-84 years had 33% higher odds of preventable mortality (adjusted odds ratio [aOR] = 1.33 and 95% confidence interval [CI] = 1.31, 1.36), whereas patients aged ≥85 years had 91% higher odds of preventable mortality (aOR = 1.91 and 95% CI = 1.87, 1.94) compared to patients aged 65-74 years. Failure-to-prevent O/E were >1 for all PSIs evaluated with central line–related blood stream infection having a high O/E (747.93). Failure-to-rescue O/E were >1 for 10/11 (91%) PSIs with physiologic and metabolic derangements having the highest O/E (5.98). United States’ states with higher quantities of geriatric trauma patients experienced reduced preventable mortality. Conclusion Odds of preventable mortality increases with age. Perioperative venous thrombotic events, hemorrhage or hematoma, and postoperative physiologic/metabolic derangements produce significant preventable mortalities. United States’ states differ in their failure-to-prevent and failure-to-rescue PSIs. Utilization of national guidelines, minimization of central venous catheter use, addressing polypharmacy especially anticoagulation, ensuring operative and procedure-based competencies, and greater incorporation of inpatient geriatricians may serve to reduce preventable mortality in elderly trauma patients.

Incidence and Association of Patient Safety Indicator 9 (Perioperative hemorrhage or hematoma) and clinical outcomes in Cardio-thoracic surgery hospital, Ain Shams University, Egypt

Background Patient Safety Indicators (PSIs) were developed as a tool for hospitals to identify potentially preventable complications and improve patient safety performance. Aim the study aimed to measure the association between the AHRQ patient safety indicator PSI9 (Perioperative hemorrhage or hematoma) and the clinical outcome including death, readmission within 30 days and length of stay at the cardiothoracic surgery hospital Ain Shams University. Methods exploratory prospective cohort study was conducted to follow up patients from admission till 1 month after discharge at the cardiothoracic surgery hospital who fulfills the inclusion criteria. Data were collected for 330 patients through basic information sheet and follow-up sheet. Results the incidence rate of PSI9 was 49.54 per 1000 discharges. Demographic data was not significantly associated with increased incidence of PSI9. The risk of development of PSI9 was significantly higher in patients admitted directly to ICU [relative risk (RR) =5.6]. The risk of death and readmission was higher in cases developed PSI9 than the cases without PSI9 [RR = 2.40 (0.60-9.55) and 2.43 (0.636 - 9.48) respectively]. Conclusion high incidence rate of PSI9 and the incidence is higher in male gender and 60 years old and more patients. Those patients developed PSI9 were at high risk for readmission and death. Recommendations the hospital administration should consider strategies and policies to decrease the rate of PSI9 and subsequent unfavorable clinical outcomes.

GlioCova: Treatment and hospital admissions for patients with GBM in England

Aims Data on the treatment and outcomes of patients with primary brain tumours in England is sparse. The GlioCova project uses linked national data from England to explore the incidence, treatment, outcomes, and treatment costs of all adult brain tumour patients in all 50,000 patients in England from 2013 – 2018. Here we present initial results from patients with glioblastoma (GBM). Method We used a linked dataset from the national cancer registration system in England including all adult patients diagnosed with a malignant or benign brain tumour between 2013 and 2018 (51,775 patients in total). Glioblastoma patients were selected based on ICD-10 codes (C70, C71, C72), morphology codes (9440, 9441, 9442), and grade (G4, G3, GX and NA) from the national cancer registry. We extracted data on treatment (radiotherapy, chemotherapy, brain surgery or biopsy) and measured how many patients who had adjuvant Temozolomide completed 6 cycles. Results We identified 15,294 glioblastoma patients. Most had glioblastoma morphology (14,924), followed by gliosarcoma (264) and giant cell glioblastoma (106). Almost all had a cranial tumour (C71) while 17 had a tumour originating in the spinal cord, cranial nerves or other part of central nervous system (C72). Median age was 66 (IQR=17) and 60% were male. 51.9% (7,935) underwent surgery; an additional 18.2% (2,784) had a biopsy; 3,701 (24.2%) out of 15,294 patients received radiotherapy (only) and 316 (2.1%) received chemotherapy (only). 5,520 (36.1%) received both radiotherapy and chemo. Out of 4,101 GBM patients receiving temozolomide after radiotherapy, only 1,535 (37.4%) completed 6 cycles. The 7,935 GBM patients who had surgery had a median length of stay in hospital of 5 days (IQR=6) while those that had a biopsy had a median of 3 days (IQR=6). Conclusion We have presented a description of treatment of all GBM patients in England over a five-year period. This is the first time we have been able to understand detailed treatment patterns at a national scale, and significantly extends previous analyses. Further work will look at patient safety indicators, variation across centres and costs of treatment. Acknowledgements We would like to thank the GlioCova Expert Advisory Group for their input and discussion. This work uses data provided by patients and collected by the NHS as part of their care and support.

Cost–DALY comparison of hip replacement care in 12 Belgian hospitals

BackgroundIn view of the expected increase in expenditure on hip replacement treatment in Belgium, the complication rate and potential waste reduction, as estimated by the Organisation for Economic Cooperation and Development, we are not yet in a position to assess the efficiency of hip replacement treatment in Belgian hospitals. This objective study uses a cost–disability-adjusted life years (DALYs) ratio to propose a comparison of hip replacement surgery among 12 Belgian hospitals.MethodsOur study seeks to innovate by proposing an interhospital comparison that simultaneously integrates the weighting of quality indicators and the costs of managing a patient. To this end, we associated a DALY impact with each patient safety indicator, readmission and mortality outcome. We then compared hospitals using both costs and DALYs adjusted to their case mix index. The adjusted values (costs and DALYs) were obtained by relating the observed value to the predicted value obtained from the linear regression model.ResultsWe registered a total of 246.5 DALYs for the 12 hospital institutions, the average cost (SD) of a stay being €8013 (€4304). Our model allowed us to identify hospitals with observed values higher than those predicted. Out of the 12 hospitals evaluated, 4 need to reduce costs and DALYs impacts, 6 have to improve one of the two factors and 2 appear to have good results. The costs for the worst performing hospitals can rise to over €150 000.ConclusionEvaluating the rates of patient safety indicators, associated with cost, is a prerequisite for quality and cost improvement efforts on the part of managers and practitioners. However, it appears essential to evaluate the entire care chain using a comparable unit of measurement. The hospital’s case mix index must also be considered in benchmarking to avoid drawing the wrong conclusions. In addition, other indicators, such as the patient’s perception of the actual results, should be added to our study.

Variation in the reporting of elective surgeries and its influence on patient safety indicators

Background: US hospital safety is routinely measured via patient safety indicators (PSIs). Receiving a score for most PSIs requires a minimum number of qualifying cases, which are partly determined by whether the associated diagnosis-related group (DRG) was surgical and whether the surgery was elective. While these criteria can exempt hospitals from PSIs, it remains to be seen whether exemption is driven by low volume, small numbers of DRGs, or perhaps, policies that determine how procedures are classified as elective. Methods: Using Medicare inpatient claims data from 4,069 hospitals between 2015 and 2017, we examined how percentages of elective procedures relate to numbers of surgical claims and surgical DRGs. We used a combination of quantile regression and machine learning based anomaly detection to characterize these relationships and identify outliers. We then used a set of machine learning algorithms to test whether outliers were explained by the DRGs they reported. Results: Average percentages of elective procedures generally decreased from 100% to 60% in relation to the number of surgical claims and the number of DRGs among them. Some providers with high volumes of claims had anomalously low percentages of elective procedures (5% to 40%). These low elective outliers were not explained by the particular surgical DRGs among their claims. However, among hospitals exempted from PSIs, those with the greatest volume of claims were always low elective outliers. Conclusion: Some hospitals with relatively high numbers of surgical claims may have classified procedures as non-elective in a way that ultimately exempted them from certain PSIs.

Effect of Postoperative Adverse Events on Hospitalization Expenditures and Length of Stay Among Surgery Patients in Taiwan: A Nationwide Population-Based Case-Control Study

Background: The current study sought to determine the incidence of postoperative adverse events (AEs) based on data from the 2006 Taiwan National Health Insurance Research Database (NHIRD).Methods: This retrospective case-control study included patients who experienced postoperative AEs in 387 hospitals throughout Taiwan in 2006. The independent variable was the presence or absence of 10 possible postoperative AEs, as identified by patient safety indicators (PSIs).Results: A total of 17,517 postoperative AEs were identified during the study year. PSI incidence ranged from 0.1/1,000 admissions (obstetric trauma-cesarean section) to 132.6/1,000 admissions (obstetric trauma with instrument). Length of stay (LOS) associated with postoperative AEs ranged from 0.10 days (obstetric trauma with instrument) to 14.06 days (postoperative respiratory failure). Total hospitalization expenditures (THEs) ranged from 363.7 New Taiwan Dollars (obstetric trauma without instrument) to 263,732 NTD (postoperative respiratory failure). Compared to patients without AEs, we determined that the THEs were 2.13 times in cases of postoperative AE and LOS was 1.72 times higher.Conclusions: AEs that occur during hospitalization have a major impact on THEs and LOS.

Perioperative Outcomes Following Kidney-Pancreas Transplantation in Alberta, Canada: Research Letter

Background: Simultaneous kidney-pancreas transplantation (SPK) has benefits for patients with kidney failure and type I diabetes mellitus, but is associated with greater perioperative risk compared with kidney-alone transplantation. Postoperative care settings for SPK recipients vary across Canada and may have implications for patient outcomes and hospital resource use. Objective: To compare outcomes following SPK transplantation between patients receiving postoperative care in the intensive care unit (ICU) compared with the ward. Design: Retrospective cohort study using administrative health data. Setting: In Alberta, the 2 transplant centers (Calgary and Edmonton) have different protocols for routine postoperative care of SPK recipients. In Edmonton, SPK recipients are routinely transferred to the ICU, whereas in Calgary, SPK recipients are transferred to the ward. Patients: 129 adult SPK recipients (2002-2019). Measurements: Data from the Canadian Institute for Health Information Discharge Abstract Database (CIHI-DAD) were used to identify SPK recipients (procedure codes) and the outcomes of inpatient mortality, length of initial hospital stay (LOS), and the occurrence of 16 different patient safety indicators (PSIs). Methods: We followed SPK recipients from the admission date of their transplant hospitalization until the first of hospital discharge or death. Unadjusted quantile regression was used to determine differences in LOS, and age- and sex-adjusted marginal probabilities were used to determine differences in PSIs between centers. Results: There were no perioperative deaths and no major differences in the demographic characteristics between the centers. The majority of the SPK transplants were performed in Edmonton (n = 82, 64%). All SPK recipients in Edmonton were admitted to the ICU postoperatively, compared with only 11% in Calgary. There was no statistically significant difference in the LOS or probability of a PSI between the 2 centers (LOS for Edmonton vs Calgary:16 vs 13 days, P = .12; PSIs for Edmonton vs Calgary: 60%, 95% confidence interval [CI] = 0.50-0.71 vs 44%, 95% CI = 0.29-0.59, P = .08). Limitations: This study was conducted using administrative data and is limited by variable availability. The small sample size limited precision of estimated differences between type of postoperative care. Conclusions: Following SPK transplantation, we found no difference in inpatient outcomes for recipients who received routine postoperative ICU care compared with ward care. Further research using larger data sets and interventional study designs is needed to better understand the implications of postoperative care settings on patient outcomes and health care resource utilization.