Assessing the cost of contemporary pituitary care.

OBJECT: Knowledge of the costs incurred through the delivery of neurosurgical care has been lagging, making it challenging to design impactful cost-containment initiatives. In this report, the authors describe a detailed cost analysis for pituitary surgery episodes of care and demonstrate the importance of such analyses in helping to identify high-impact cost activities and drive value-based care. METHODS: This was a retrospective study of consecutively treated patients undergoing an endoscopic endonasal procedure for the resection of a pituitary adenoma after implementation and maturation of quality-improvement initiatives and the implementation of cost-containment initiatives. RESULTS: The cost data pertaining to 27 patients were reviewed. The 2 most expensive cost activities during the index hospitalization were the total operating room (OR) and total bed-assignment costs. Together, these activities represented more than 60% of the cost of hospitalization. Although value-improvement initiatives contributed to the reduction of variation in the total cost of hospitalization, specific cost activities remained relatively variable, namely the following: 1) OR charged supplies, 2) postoperative imaging, and 3) use of intraoperative neuromonitoring. These activities, however, each contributed to less than 10% of the cost of hospitalization. Bed assignment was the fourth most variable cost activity. Cost related to readmission/reoperation represented less than 5% of the total cost of the surgical episode of care. CONCLUSIONS: After completing a detailed assessment of costs incurred throughout the management of patients undergoing pituitary surgery, high-yield opportunities for cost containment should be identified among the most expensive activities and/or those with the highest variation. Strategies for safely reducing the use of the targeted resources, and related costs incurred, should be developed by the multidisciplinary team providing care for this patient population.

Subclinical early posttraumatic seizures detected by continuous EEG monitoring in a consecutive pediatric cohort.

PURPOSE: Traumatic brain injury (TBI) is an important cause of morbidity and mortality in children, and early posttraumatic seizures (EPTS) are a contributing factor to ongoing acute damage. Continuous video-EEG monitoring (cEEG) was utilized to assess the burden of clinical and electrographic EPTS. METHODS: Eighty-seven consecutive, unselected (mild - severe), acute TBI patients requiring pediatric intensive care unit (PICU) admission at two academic centers were monitored prospectively with cEEG per established clinical TBI protocols. Clinical and subclinical seizures and status epilepticus (SE, clinical and subclinical) were assessed for their relation to clinical risk factors and short-term outcome measures. KEY FINDINGS: Of all patients, 42.5% (37/87) had seizures. Younger age (p = 0.002) and injury mechanism (abusive head trauma - AHT, p < 0.001) were significant risk factors. Subclinical seizures occurred in 16.1% (14/87), while 6.9% (6/87) had only subclinical seizures. Risk factors for subclinical seizures included younger age (p < 0.001), AHT (p < 0.001), and intraaxial bleed (p < 0.001). SE occurred in 18.4% (16/87) with risk factors including younger age (p < 0.001), AHT (p < 0.001), and intraaxial bleed (p = 0.002). Subclinical SE was detected in 13.8% (12/87) with significant risk factors including younger age (p < 0.001), AHT (p = 0.001), and intraaxial bleed (p = 0.004). Subclinical seizures were associated with lower discharge King's Outcome Scale for Childhood Head Injury (KOSCHI) score (p = 0.002). SE and subclinical SE were associated with increased hospital length of stay (p = 0.017 and p = 0.041, respectively) and lower hospital discharge KOSCHI (p = 0.007 and p = 0.040, respectively). SIGNIFICANCE: cEEG monitoring significantly improves detection of seizures/SE and is the only way to detect subclinical seizures/SE. cEEG may be indicated after pediatric TBI, particularly in younger children, AHT cases, and those with intraaxial blood on computerized tomography (CT).

A comparison of vital signs charted by nurses with automated acquired values using waveform quality indices.

OBJECTIVE: (1) To investigate if there exist any discrepancies between the values of vital signs charted by nurses and those recorded by bedside monitors for a group of patients admitted for neurocritical care. (2) To investigate possible interpretations of discrepancies by exploring information in the alarm messages and the raw waveform data from monitors. METHODS: Each charted vital sign value was paired with a corresponding value from data collected by an archival program of bedside monitors such that the automatically archived data preceded the charted data and had minimal time lag to the charted value. Next, the absolute differences between the paired values were taken as the discrepancy between charted and automatically-collected data. Archived alarm messages were searched for technical alarms of sensor/lead failure types. Additionally, 7-min waveform data around the place of large discrepancy were analyzed using signal abnormality indices (SAI) for quantifying the quality of recorded signals. RESULTS: About 31,145 pairs of systolic blood pressure (BP-S) and 67,097 pairs of SpO(2) were investigated. Seven and a half percent of systolic blood pressure pairs had a discrepancy greater than 20 mmHg and less than one percent of the SpO2 pairs had a discrepancy greater than 10. We could not find any technical alarms from the monitors that could explain the large difference. However, SAI calculated for the waveforms associated with this group of cases was significantly larger than the SAI values calculated for the control waveform data of the same patients with small discrepancies. CONCLUSION: Charted vital signs reflect in large the raw data as reported by bedside monitors. Poor signal quality could partially explain the existence of cases of large discrepancies.

Intensive care unit robotic telepresence facilitates rapid physician response to unstable patients and decreased cost in neurointensive care.

BACKGROUND: The timely assessment and treatment of ICU patients is important for neurosurgeons and neurointensivists. We hypothesized that the use of RTP can improve physician rapid response to unstable ICU patients. METHODS: This is a prospective study using a before-after, cohort-control design to test the effectiveness of RTP. Physicians used RTP to make rounds in the ICU in response to nursing pages. Data concerning several aspects of the RTP interaction including the latency of the response, the problem being treated, the intervention that was ordered, and the type of information gathered using the RTP were documented. The effect of RTP on ICU length of stay and cost was assessed. RESULTS: The use of RTP was associated with a reduction in latency of attending physician face-to-face response for routine and urgent pages compared to conventional care (RTP: 9.2 +/- 9.3 minutes vs conventional: 218 +/- 186 minutes). The response latencies to brain ischemia (7.8 +/- 2.8 vs 152 +/- 85 minutes) and elevated ICP (11 +/- 14 vs 108 +/- 55 minutes) were reduced (P < .001), as was the LOS for patients with SAH (2 days) and brain trauma (1 day). There was an increase in ICU occupancy by 11% compared with the prerobot era, and there was an ICU cost savings of $1.1 million attributable to the use of RTP. CONCLUSION: The use of RTP enabled rapid face-to-face attending physician response to ICU patients and resulted in decreased ICU cost and LOS.

Value-based neurosurgery: the example of microvascular decompression surgery.

OBJECT: Value of care is emerging as a promising framework to restructure health care, emphasizing the importance of reporting multiple outcomes that encompass the entire care episode instead of isolated outcomes specific to care points during a patient's care. The authors assessed the impact of coordinated implementation of processes across the episode of surgical care on value of neurosurgical care, using microvascular decompression (MVD) as an example. METHODS: This study is a retrospective review of consecutive cases involving patients with either trigeminal neuralgia or hemifacial spasm undergoing first-time MVD. Patients were divided into 2 groups: Group 1 included patients who underwent surgery between February 2008 and November 2009 and Group 2 included those who underwent surgery between January 2011 and October 2012. The authors collected data on outcome measures spanning the entire surgical episode of care according to the Outcome Measures Hierarchy. RESULTS: Forty-nine patients were included: 20 patients in Group 1 and 29 patients in Group 2. Thirty-one patients underwent MVD for trigeminal neuralgia and 18 for hemifacial spasm. A zero mortality rate and high degree of symptom resolution were achieved in both groups. Group 2 benefited from a reduction in the average total operating room time, a decrease in the mean and median postoperative length of hospital stay, a decrease in the mean length of stay on the floor, and a reduction in the rates of complications and readmissions. CONCLUSIONS: Comprehensive implementation of improvement processes throughout the continuum of care resulted in improved global outcome and greater value of delivered care. Enhanced-recovery perioperative protocols and diagnosis-specific clinical pathways are two avenues built around global care delivery that can help achieve an "optimal episode of surgical care" in every case.

Value-based neurosurgery: measuring and reducing the cost of microvascular decompression surgery.

OBJECT: Care providers have put significant effort into optimizing patient safety and quality of care. Value, defined as meaningful outcomes achieved per dollar spent, is emerging as a promising framework to redesign health care. Scarce data exist regarding cost measurement and containment for episodes of neurosurgical care. The authors assessed how cost measurement and strategic containment could be used to optimize the value of delivered care after the implementation and maturation of quality improvement initiatives. METHODS: A retrospective study of consecutive patients undergoing microvascular decompression was performed. Group 1 comprised patients treated prior to the implementation of quality improvement interventions, and Group 2 consisted of those treated after the implementation and maturation of quality improvement processes. A third group, Group 3, represented a contemporary group studied after the implementation of cost containment interventions targeting the three most expensive activities: pre-incision time in the operating room (OR) and total OR time, intraoperative neuromonitoring (IOM), and bed assignment (and overall length of stay [LOS]). The value of care was assessed for all three groups. RESULTS: Forty-four patients were included in the study. Average preparation time pre-incision decreased from 73 to 65 to 45 minutes in Groups 1, 2, and 3, respectively. The average total OR time and OR cost were 434 minutes and $8513 in Group 1; 348 minutes and $7592 in Group 2; and 407 minutes and $8333 in Group 3. The average cost for IOM, excluding electrode needles, was $1557, $1585, and $1263, respectively, in Groups 1, 2, and 3. Average total cost for bed assignment was $5747, $5198, and $4535, respectively, in Groups 1, 2, and 3. The average total LOS decreased from 3.16 days in Group 1 to 2.14 days in Group 3. Complete relief of or a significant decrease in preoperative symptomatology was achieved in 42 of the 44 patients, respectively. Overall, the average cost of a surgical care episode (index hospitalization + readmission/reoperation) decreased 25% from Group 1 to 3. CONCLUSIONS: Linking cost-containment and cost-reduction strategies to ongoing outcome improvement measures is an important step toward the optimization of value-based delivery of care.

Tracking and sustaining improvement initiatives: leveraging quality dashboards to lead change in a neurosurgical department.

Increasingly, hospitals and physicians are becoming acquainted with business intelligence strategies and tools to improve quality of care. In 2007, the University of California Los Angeles (UCLA) Department of Neurosurgery created a quality dashboard to help manage process measures and outcomes and ultimately to enhance clinical performance and patient care. At that time, the dashboard was in a platform that required data to be entered manually. It was then reviewed monthly to allow the department to make informed decisions. In 2009, the department leadership worked with the UCLA Medical Center to align mutual quality-improvement priorities. The content of the dashboard was redesigned to include 3 areas of priorities: quality and safety, patient satisfaction, and efficiency and use. Throughout time, the neurosurgery quality dashboard has been recognized for its clarity and its success in helping management direct improvement strategies and monitor impact. We describe the creation and design of the neurosurgery quality dashboard at UCLA, summarize the evolution of its assembly process, and illustrate how it can be used as a powerful tool of improvement and change. The potential challenges and future directions of this business intelligence tool are also discussed.

Analysis of 30-day readmissions among neurosurgical patients: surgical complication avoidance as key to quality improvement.

UNLABELLED: OBJECT.: In terms of measuring quality of care and hospital performance, an outcome of increasing interest is the 30-day readmission rate. Recent health care policy making has highlighted the necessity of understanding the factors that influence readmission. To elucidate the rate, reason, and predictors of readmissions at a tertiary/quaternary neurosurgical service, the authors studied 30-day readmissions for the Department of Neurosurgery at two University of California, Los Angeles (UCLA), hospitals. METHODS: Over a 3-year period, the authors retrospectively identified adult and pediatric patients who had been discharged from the UCLA Medical Center after having undergone a major neurosurgical procedure and being readmitted within 30 days. Data were obtained on demographics, follow-up findings, diagnosis and reason for readmission, major operations performed, and length of stay during index admission and readmission. Reasons for readmission were broadly categorized into surgical, medical diagnosis/complication, problem associated with the original diagnosis, neurological decompensation, pain management, and miscellaneous. For further characterization, subgroup analysis and in-depth chart review were performed. RESULTS: Over the study period, 365 (6.9%) of 5569 patients were readmitted within 30 days. The most common diagnosis at index admission was brain tumor (102 patients), followed by CSF shunt malfunction (63 patients). The most common reason for readmission was surgical complication (50.1%). Among those with surgical complications, the largest subgroup consisted of patients with CSF shunt-related problems (77 patients). The second and third largest subgroups were surgical site infection and CSF leakage (41 and 31 patients, respectively). Medical diagnosis/complication was the second most frequent (27.9%) reason for readmission. CONCLUSIONS: Surgical complications seem to be a major reason for readmission at the neurosurgical practice studied. Results indicate that the outcomes that are amenable to and would have the greatest effect on quality improvement are CSF shunt-related complications, surgical site infections, and CSF leaks.