Recent Advances in the Patient Safety and Quality Initiatives Movement

Quality improvement in neurosurgery: A systematic review

Quality improvement (QI) is crucial for advancing patient care and safety in surgical practices. Despite the presence of numerous systematic reviews on various types of surgeries, no current QI systematic review for neurosurgery is available, at least to the best of our knowledge. The present study thus aimed to explore existing QI frameworks, interventions and outcome measures, which are used to enhance patient care and efficiency in neurosurgery. For this purpose, a systematic review was conducted by identifying 75 articles using key words, such as 'Quality', 'Control', 'Improvement', 'Neurosurgical' and 'Neurosurgery' across various databases, including PubMed, Google Scholar, Scopus, Wiley, ScienceDirect and Microsoft Academic. Each article was assessed based on inclusion and exclusion criteria, without a time limit for selection. The analysis of the 75 publications revealed an uneven distribution across neurosurgical fields: Adult neurosurgery (70.5%), spine surgery (22.5%), pediatric neurosurgery (4%) and neuro-oncology (3%). This pattern was reflected in the patient distribution (n=621,293), with 87.07% involved in spine surgery QI initiatives. Cranial-only and combined cranial and spinal studies accounted for only 0.21% of patients. QI interventions included mainly new protocols (18.67%), ERAS (17.33%), data analysis (16%), modified checklists (14.67%) and new sterilization devices (13.3%). By contrast, only a limited number of articles addressed the effectiveness of new technology, prediction models, incident reporting and staff education. On the whole, the QI studies enhanced neurosurgical care, focusing mainly on adult neurosurgery and targeting specifically spinal cases. The main interventions included new protocols, ERAS, data analysis and checklists. Further research is required to address QI initiatives in cranial surgery and evaluate the effectiveness of less commonly used methods, such as new technologies and predictive models.

First American College of Surgeons National Surgical Quality Improvement Program Report from a Low-Middle-Income Country: A 1-Year Outcome Analysis of Neurosurgical Cases

BACKGROUND

Low-middle-income countries (LMICs) share a substantial proportion of global surgical complications. This is compounded by the seemingly deficient documentation of postsurgical complications and the lack of a national average for comparison. In this context, the implementation of the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) that compares hospital performance based on postsurgical complication data provided by a wide array of centers, could be a major initiative in a resource-challenged setting. Implementation of the NSQIP has provenly mitigated postoperative morbidity and mortality across many centers all over the world. To our knowledge, this report is the first from an LMIC to report its postoperative neurosurgical complications in comparison with international benchmarks.

METHODS

Our hospital joined the NSQIP in 2019. Through a standardized ACS protocol, ACS-trained surgical clinical reviewers (SCRs) reviewed and extracted data from randomly assigned neurosurgical patients' medical records from preoperative to postoperative (30-day) data using validated, standardized data definitions. SCRs entered deidentified data in an online Health Insurance Portability and Accountability Act web-based secure platform. The validated data were then consigned to the ACS NSQIP head office in the United States where the data were analyzed and compared with similar data from other centers registered with the NSQIP. In this way, our hospital was rated for each of the variables related to postsurgical complications after both spinal and cranial procedures, and the results were sent back to us in the form of text, tables, and graphs.

RESULTS

Our initial report suggested a relatively higher odds ratio for sepsis and readmissions after spinal procedures at our hospital, and a similarly higher odds ratio for morbidity, sepsis, urinary tract infection, and surgical site infection for cranial procedures. For these variables, our hospital fell in the needs improvement category of the NSQIP. For the rest of the variables studied for both spinal and cranial procedures, the hospital fell in the as expected category of the NSQIP.

CONCLUSIONS

Implementation of the NSQIP is an important first step in creating a culture of transparency, safety, and quality. This is the first report of NSQIP implementation in an LMIC, and we have shown comparable results to developed countries.

Incorporating Quality Improvement into Resident Education: Structured Curriculum, Evaluation, and Quality Improvement Projects

BACKGROUND

Quality Improvement (QI) is essential for improving health care delivery and is now a required component of neurosurgery residency. However, neither a formal curriculum nor implementation strategies have been established by the Accreditation Council for Graduate Medical Education.

METHODS

We describe our experience with implementing a formal QI curriculum, including structured didactics and resident led group-based QI projects. Course materials and didactics were provided by the Mayo Quality Academy. Participants were required to take a 30-question multiple-choice exam to demonstrate basic proficiency in QI methods following completion of didactic. An anonymous survey also was performed to elicit feedback from course participants.

RESULTS

All of the 40 student participants (17 residents) were able to demonstrate basic proficiency in QI methods on a standardized exam upon course completion. Of the 9 attempted QI projects, 7 were completed, with 5 of those resulting in sustained process changes. The majority of participants felt formal training improved confidence in QI processes and was a valuable professional tool for their careers.

CONCLUSIONS

A formal didactic curriculum and practical application of QI methodologies adds value to resident training. Further, it has the potential to positively impact practice. Consideration should be given to adopting a formal QI curriculum by other neurosurgery departments and perhaps standardization on national level.

Safety Outcomes Following Spine and Cranial Neurosurgery: Evidence From the National Surgical Quality Improvement Program

BACKGROUND

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) was used to establish predictors for 30-day postoperative complications following spine and cranial neurosurgery.

MATERIALS AND METHODS

The ACS-NSQIP participant use files were queried for neurosurgical cases between 2005 and 2015. Prevalence of postoperative complications following neurosurgery was determined. Nested multivariable logistic regression analysis was used to identify demographic, comorbidity, and perioperative characteristics associated with any complication and mortality for spine and cranial surgery.

RESULTS

There were 175,313 neurosurgical cases (137,029 spine, 38,284 cranial) identified. A total of 23,723 (13.5%) patients developed a complication and 2588 (1.5%) patients died. Compared with spine surgery, cranial surgery had higher likelihood of any complication (22.2% vs. 11.1%; P<0.001) and mortality (4.8% vs. 0.5%; P<0.001). In multivariable analysis, cranial surgery had 2.73 times higher likelihood for mortality compared with spine surgery (95% confidence interval, 2.46-3.03; P<0.001), but demonstrated lower odds of any complication (odds ratio, 0.93; 95% confidence interval, 0.90-0.97; P<0.001). There were 6 predictors (race, tobacco use, dyspnea, chronic obstructive pulmonary disease, chronic heart failure, and wound classification) significantly associated with any complication, but not mortality. Paradoxically, tobacco use had an unexplained protective effect on at least one complication or any complication. Similarly, increasing body mass index was protective for any complication and mortality, which suggests there may be a newly observed "obesity paradox" in neurosurgery.

CONCLUSIONS

After controlling for demographic characteristics, preoperative comorbidities, and perioperative factors, cranial surgery had higher risk for mortality compared with spine surgery despite lower risk for other complications. These findings highlight a discrepancy in the risk for postoperative complications following neurosurgical procedures that requires emphasis within quality improvement initiatives.

Quality Programs in Neurosurgery: The Memorial Hermann/University of Texas Experience

The importance of outcome measures is steadily increasing due to the rise of "pay for performance" and the advent of population health. In 2007, a quality initiative was started due to poor performance on rankings such as the University Health Consortium (UHC) report card. Inherent to all such efforts are common challenges: how to engage the providers; how to gather and ensure the accuracy of the data; how to attribute results to individuals; how to ensure permanent improvements. After analysis, a strategy was developed that included an initial focus on 3 metrics (mortality, infection rates, and complications), leadership from practicing neurosurgeons, protocol development and adherence, and subspecialization. In addition, it was decided that the metrics would initially apply to attending physicians only, but that the entire team would need to be involved. Once the fundamental elements were established, the process could be extended to other measures and providers. To support this effort, special information system tools were developed and a support team formed. As the program matured, measured outcomes improved and more metrics were added (to a current total of 48). For example, UHC mortality ratios (observed over expected) decreased by 75%. Infection rates decreased 80%. The program now involves all trainee physicians, advanced practice providers, nurses, and other staff. This paper describes the design, implementation, and results of this effort, and provides a practical guide that may be useful to other groups undertaking similar initiatives.

Resident-led Implementation of a Standardized Handoff System to Facilitate Transfer of Postoperative Neurosurgical Patients to the ICU

Transitions in care are pivotal moments for patient safety. Although many strategies have been suggested for handoff improvement in the healthcare realm, little focus has been placed on patient safety during the transition from the operative to the postoperative setting. Many surgical trainees have received limited instruction, if any, on how to conduct comprehensive handoffs that ensure the safe transition of care and optimize continuity of care. Therefore, structured transfers of patient care can be invaluable. Here, we describe the implementation of a standardized handoff system developed by residents in an academic neurosurgery department to communicate key perioperative data via both electronic documentation and in-person discussion as a means of reinforcement. Our results are part of a comprehensive effort to strengthen the culture of safety surrounding the care and treatment of neurosurgical patients at our institution.

Length of hospital stay after craniotomy for tumor: a National Surgical Quality Improvement Program analysis

OBJECT

Although the length of hospital stay is often used as a measure of quality of care, data evaluating the predictors of extended hospital stay after craniotomy for tumor are limited. The goals of this study were to use multivariate regression to examine which preoperative characteristics and postoperative complications predict a prolonged hospital stay and to assess the impact of length of stay on unplanned hospital readmission.

METHODS

Data were extracted from the National Surgical Quality Improvement Program (NSQIP) database from 2007 to 2013. Patients who underwent craniotomy for resection of a brain tumor were included. Stratification was based on length of hospital stay, which was dichotomized by the upper quartile of the interquartile range (IQR) for the entire population. Covariates included patient age, sex, race, tumor histology, comorbidities, American Society of Anesthesiologists (ASA) class, functional status, preoperative laboratory values, preoperative neurological deficits, operative time, and postoperative complications. Multivariate logistic regression with forward prediction was used to evaluate independent predictors of extended hospitalization. Thereafter, hierarchical multivariate logistic regression assessed the impact of length of stay on unplanned readmission.

RESULTS

The study included 11,510 patients. The median hospital stay was 4 days (IQR 3-8 days), and 27.7% (n = 3185) had a hospital stay of at least 8 days. Independent predictors of extended hospital stay included age greater than 70 years (OR 1.53, 95% CI 1.28%-1.83%, p < 0.001); African American (OR 1.75, 95% CI 1.44%-2.14%, p < 0.001) and Hispanic (OR 1.68, 95% CI 1.36%-2.08%) race or ethnicity; ASA class 3 (OR 1.52, 95% CI 1.34%-1.73%) or 4-5 (OR 2.18, 95% CI 1.82%-2.62%) designation; partially (OR 1.94, 95% CI 1.61%-2.35%) or totally dependent (OR 3.30, 95% CI 1.95%-5.55%) functional status; insulin-dependent diabetes mellitus (OR 1.46, 95% CI 1.16%-1.84%); hematological comorbidities (OR 1.68, 95% CI 1.25%-2.24%); and preoperative hypoalbuminemia (OR 1.78, 95% CI 1.51%-2.09%, all p ≤ 0.009). Several postoperative complications were additional independent predictors of prolonged hospitalization including pulmonary emboli (OR 13.75, 95% CI 4.73%-39.99%), pneumonia (OR 5.40, 95% CI 2.89%-10.07%), and urinary tract infections (OR 11.87, 95% CI 7.09%-19.87%, all p < 0.001). The C-statistic of the model based on preoperative characteristics was 0.79, which increased to 0.83 after the addition of postoperative complications. A length of stay after craniotomy for tumor score was created based on preoperative factors significant in regression models, with a moderate correlation with length of stay (p = 0.43, p < 0.001). Extended hospital stay was not associated with differential odds of an unplanned hospital readmission (OR 0.97, 95% CI 0.89%-1.06%, p = 0.55).

CONCLUSIONS

In this NSQIP analysis that evaluated patients who underwent craniotomy for tumor, much of the variance in hospital stay was attributable to baseline patient characteristics, suggesting length of stay may be an imperfect proxy for quality. Additionally, longer hospitalizations were not found to be associated with differential rates of unplanned readmission.