Performance Measures in Neurosurgical Patient Care: Differing Applications of Patient Safety Indicators

Efficacy of an intervention program to prevent patient safety indicators in aneurysmal subarachnoid haemorrhage

OBJECTIVE

Patient safety indicators (PSI) are a set of potentially preventable events related to patient safety and opportunities for improvement. Eight pertinent PSI have been identified in patients with aneurysmal subarachnoid haemorrhage (ASAH), such as decubitus ulcer, and central line-related bacteraemia. Our aim was to evaluate the efficacy of a health care quality protocol to prevent the appearance of PSI in ASAH patients.

METHODS

Adult patients treated for ASAH were included in a retrospective control group of 35 patients and a prospective experimental group of 35 patients when the prevention program was implemented. We evaluated the occurrence of PSI, and its relation to age, sex, Hunt and Hess scale grade, type of aneurysm treatment, length of hospital stay, and Glasgow Outcome Scale scores.

RESULTS

Both groups had similar characteristics except for a longer hospital stay in the control group. The overall PSI prevalence decreased significantly in the experimental group compared to the control group. The experimental group had a decreased risk for having at least one PSI: OR = 0.21 (0.08-0.57, CI 95%). The absolute risk reduction is 37.1% (58.9%-15.4%), the preventable fraction for the population is 28.3% (10.6%-40.0%), and the number needed to treat is 2.69.

CONCLUSIONS

The health care quality protocol is effective to prevent ISP in ASAH patients. Implementing this prevention program has no effect on the neurological state of the patient at the hospital discharge. Still, it is successful in decreasing the PSI prevalence and the days of hospital stay.

Outcomes After Supratentorial Craniotomy for Primary Malignant Brain Tumor Resection in Adult Patients: A National Surgical Quality Improvement Program Analysis

BACKGROUND

The rate of complications remains significant after craniotomy for supratentorial primary malignant brain tumors despite recent advances.

OBJECTIVE

The goal of this study is to characterize factors associated with these complications.

METHODS

Data were extracted from the National Surgical Quality Improvement Program database from 2016 to 2019. Patients who underwent a craniotomy for resection of supratentorial primary malignant brain tumors were included. Covariates included demographics/comorbidities, preoperative laboratory values, American Society of Anesthesiologists (ASA) classification, operative time, and postoperative complications. Multivariable logistic regression with backward and forward selection was used to evaluate independent predictors of death, prolonged hospitalization, postoperative stroke with neurologic deficit (CVA), and unplanned readmission. Predictive fit of the model was evaluated using the area under the receiver operating curve (AUC).

RESULTS

Of 8965 included cases, the 30-day postoperative risks were 1.9% for CVA, 10.1% for unplanned readmission, 1.2% for prolonged hospitalization, and 2.4% for death. Age, ASA category, disseminated cancer, preoperative functional dependence, and postoperative respiratory complications were predictors of 30-day mortality (AUC, 0.83; P < 0.001). CVA was best predicted by increased operation time (P < 0.001), age, ASA category, and recent weight loss (AUC, 0.63; P = 0.009). Prolonged hospitalization was predicted by nonelective surgery status, time from admission to surgery, reintubation, and postoperative sepsis (AUC, 0.78; P < 0.001). Unplanned readmission was predicted by chronic steroid use, postoperative thrombotic complications after surgery, organ/space surgical site infection, deep vein thrombosis, postoperative systemic sepsis, and septic shock (AUC, 0.68; P < 0.001).

CONCLUSIONS

Our study identifies predictors of major 30-day complications after craniotomy for this subset of patients with brain tumor.

Benchmarking short-term postoperative mortality across neurosurgery units: is hospital administrative data good enough for risk-adjustment?

BACKGROUND

Surgical mortality indicators should be risk-adjusted when evaluating the performance of organisations. This study evaluated the performance of risk-adjustment models that used English hospital administrative data for 30-day mortality after neurosurgery.

METHODS

This retrospective cohort study used Hospital Episode Statistics (HES) data from 1 April 2013 to 31 March 2018. Organisational-level 30-day mortality was calculated for selected subspecialties (neuro-oncology, neurovascular and trauma neurosurgery) and the overall cohort. Risk adjustment models were developed using multivariable logistic regression and incorporated various patient variables: age, sex, admission method, social deprivation, comorbidity and frailty indices. Performance was assessed in terms of discrimination and calibration.

RESULTS

The cohort included 49,044 patients. Overall, 30-day mortality rate was 4.9%, with unadjusted organisational rates ranging from 3.2 to 9.3%. The variables in the best performing models varied for the subspecialties; for trauma neurosurgery, a model that included deprivation and frailty had the best calibration, while for neuro-oncology a model with these variables plus comorbidity performed best. For neurovascular surgery, a simple model of age, sex and admission method performed best. Levels of discrimination varied for the subspecialties (range: 0.583 for trauma and 0.740 for neurovascular). The models were generally well calibrated. Application of the models to the organisation figures produced an average (median) absolute change in mortality of 0.33% (interquartile range (IQR) 0.15-0.72) for the overall cohort model. Median changes for the subspecialty models were 0.29% (neuro-oncology, IQR 0.15-0.42), 0.40% (neurovascular, IQR 0.24-0.78) and 0.49% (trauma neurosurgery, IQR 0.23-1.68).

CONCLUSIONS

Reasonable risk-adjustment models for 30-day mortality after neurosurgery procedures were possible using variables from HES, although the models for trauma neurosurgery performed less well. Including a measure of frailty often improved model performance.

Safety metric profiling in surgery for temporal glioblastoma: lobectomy as a supra-total resection regime preserves perioperative standard quality rates

Introduction

Supra-total resection in terms of anterior temporal lobectomy (ATL) has gained growing attention with regard to superior long-term disease control for temporal-located glioblastoma. However, aggressive onco-surgical approaches—geared beyond conventional gross total resections (GTR)—may be associated with peri- and postoperative unfavorable events which significantly worsen initial favorable postoperative outcome. In the current study we analyzed our institutional database with regard to patient safety indicators (PSIs), hospital-acquired conditions (HACs) and specific cranial surgery-related complications (CSC) as high standard quality metric profiles in patients that had undergone surgery for temporal glioblastoma.

Methods

Between 2012 and 2018, 61 patients with temporal glioblastoma underwent GTR or temporal lobectomy at the authors’ institution. Both groups of differing resection modalities were analyzed with regard to the incidence of PSIs, HACs and CSCs.

Results

Overall, we found 6 PSI and 2 HAC events. Postoperative hemorrhage (3 out of 61 patients; 5%) and catheter-associated urinary tract infection (2 out 61 patients; 3%) were identified as the most frequent PSIs and HACs. PSIs were present in 1 out of 41 patients (5%) for the temporal GTR and 2 out of 20 patients for the lobectomy group (p = 1.0). Respective rates for PSIs were 5 of 41 (12%) and 1 of 20 (5%) (p = 0.7). Further, CSCs did not yield significant differences between these two resection modalities (p = 1.0).

Conclusion

With regard to ATL and GTR as differing onco-surgical approaches these data suggest ATL in terms of an aggressive supra-total resection strategy to preserve perioperative standard safety metric profiles.

How the elderly fare after brain tumor surgery compared to younger patients within a 30-day follow-up: A National surgical Quality Improvement Program analysis of 30,183 cases

The growing elderly population in Western societies has led to an increasing number of primary brain tumors occurring in patients beyond the age of 65. The purpose of this study was to assess and compare the safety, efficacy, and outcomes of oncological craniotomy procedures between patients above and below 65 years. We performed a retrospective analysis of the ACS-NSQIP database to identify patients undergoing supratentorial and infratentorial tumor excisions by neurosurgeons between 2008 and 2016. We stratified them based on a cutoff age of 65 years and analyzed for minor and major complications, reoperation, the total length of hospital stay, and mortality within a standardized 30-day follow-up. Among the 30,183 analyzed patients, 9,652 (32%) were elderly (age ≥ 65). The bivariate analysis demonstrated significantly increased risk of complications, including major and minor complications and mortality in patients with metabolic syndrome, preoperative steroid use, and ASA classification ≥3. (p-value ≤ 0.001***). After controlling for confounding variables in our logistic regression models, older age, metabolic syndrome, extended operative time beyond 5 h, dependent functional health status, ASA class ≥3, steroid use pre-operatively, and black/African American race were found to be significant predictors of major and minor complication. Our study provides a comprehensive analysis of perioperative risk factors and predictors of adverse outcomes following craniotomy for supratentorial and infratentorial tumors in elderly patients. We identified increased age as an independent risk factor for minor and major adverse events as well as extended hospitalization.

Did case-based payment influence surgical readmission rates in France? A retrospective study

OBJECTIVES

To determine whether implementation of a case-based payment system changed all-cause readmission rates in the 30 days following discharge after surgery, we analysed all surgical procedures performed in all hospitals in France before (2002-2004), during (2005-2008) and after (2009-2012) its implementation.

SETTING

Our study is based on claims data for all surgical procedures performed in all acute care hospitals with >300 surgical admissions per year (740 hospitals) in France over 11 years (2002-2012; n=51.6 million admissions).

INTERVENTIONS

We analysed all-cause 30-day readmission rates after surgery using a logistic regression model and an interrupted time series analysis.

RESULTS

The overall 30-day all-cause readmission rate following discharge after surgery increased from 8.8% to 10.0% (P<0.001) for the public sector and from 5.9% to 8.6% (P<0.001) for the private sector. Interrupted time series models revealed a significant linear increase in readmission rates over the study period in all types of hospitals. However, the implementation of case-based payment was only associated with a significant increase in rehospitalisation rates for private hospitals (P<0.001).

CONCLUSION

In France, the increase in the readmission rate appears to be relatively steady in both the private and public sector but appears not to have been affected by the introduction of a case-based payment system after accounting for changes in care practices in the public sector.