Cost-benefit analysis of intraoperative neuromonitoring for cardiac surgery.

BACKGROUND: Intraoperative neuromonitoring (IONM) can detect large vessel occlusion (LVO) in real-time during surgery. The aim of this study was to conduct a cost-benefit analysis of utilizing IONM among patients undergoing cardiac surgery. METHODS: A decision-analysis tree with terminal Markov nodes was constructed to model functional outcome, as measured via the modified Rankin Scale (mRS), among 65-year-old patients undergoing cardiac surgery. Our cost-benefit analysis compares the use of IONM (electroencephalography and somatosensory evoked potential) against no IONM in preventing neurological complications from perioperative LVO during cardiac surgery. The study was performed over a lifetime horizon from a societal perspective in the United States. Base case and one-way probabilistic sensitivity analyses were performed. RESULTS: At a baseline LVO rate of 0.31%, the mean attributable lifetime expenditure for IONM-monitored cardiac surgeries relative to unmonitored cardiac surgeries was $1047.41 (95% CI, $742.12 - $1445.10). At a critical LVO rate of approximately 3.67%, the costs of both monitored and unmonitored cardiac surgeries were the same. Above this critical rate, implementing IONM became cost-saving. On one-way sensitivity analysis, variation in LVO rate from 0% - 10% caused lifetime costs attributable to receiving IONM to range from $1150.47 - $29404.61; variations in IONM cost, percentage of intervenable LVOs, IONM sensitivity, and mechanical thrombectomy cost exerted comparably minimal influence over lifetime costs. DISCUSSION: We find considerable cost savings favoring the use of IONM under certain parameters corresponding to high-risk patients. This study will provide financial perspective to policymakers, clinicians, and patients alike on the appropriate use of IONM during cardiac surgery.

The relationship between mental health and public attention to the Brett Kavanaugh hearings and confirmation.

RATIONALE: Researchers have rarely considered how public attention surrounding political events influences mental health. Specifically, in a politically polarized nation like the United States, it is possible that these events have a public mental health effect. OBJECTIVE: This study examines the mental health effects associated with the 2018 U.S. Senate hearing and confirmation of Supreme Court Justice Brett Kavanaugh using public survey data. METHODS: We use the interview date included in CDC data from the 2014-2018 Behavioral Risk Factor Surveillance System (BRFSS) to identify the effects of increased public attention on the Kavanaugh hearings and confirmation on the mental health of individuals who identify as female. We employ a triple difference model to control for possible confounding effects and target causality. RESULTS: We find meaningful increases in both the number of "not good" mental health days reported and the probability of reporting any "not good" mental health days. On average, females reported 0.24 more poor mental health days during the one-month period surrounding the Kavanaugh confirmation and hearings than women did in the same 1-month period in 2014. This change represents a nearly 10% increase in mental health burden. The results are robust to the inclusion of a range of covariates as well as alternate specifications. In addition, we derive estimates of the societal costs associated with the increased mental health burden linked to Brett Kavanaugh's confirmation. CONCLUSION: This study demonstrates that the Kavanaugh confirmation and hearings were associated with a notable rise in mental health challenges, especially among women. These results extend beyond personal experience and illustrate the societal costs linked to the resulting increased mental health burden. Further research on similar events is warranted.

An iron triangle ROI model for health care.

OBJECTIVE: Few, if any, return on investment (ROI) analyses of health programs make systematic considerations of patient access, instead focusing principally on gains related to cost and quality. The objective of this study was to develop an open-source model that adds an estimation of gains in patient access to a traditional ROI analysis. A classification system for quantifying gains in patient access is proposed. MATERIALS AND METHODS: An Excel-based ROI model was built that not only incorporated traditional ROI considerations - cost savings and patient cases avoided - but also addressed changes in patient access. The model was then applied in a case study using New Mexico Medicaid data and two proposed initiatives - a statewide health information exchange (HIE) and a community health worker (CHW) program that focused on chronic disease patients. Savings, Health, Outreach, and Access estimates were derived from the literature. ROI estimates were produced that also incorporated relative gains in patient access. RESULTS: Combined, the HIE and CHW programs are predicted to generate a positive ROI by the fourth year, growing to 45% by the program's tenth year. Total estimated cumulative cost for both programs after 10 years is $9,555,226. Total estimated cumulative saving for both programs after 10 years is $11,332,899. Access-related costs begin moderately in year 1 at $122,766 and grow to $1,858,274 by year 10. The model estimates an Access score of 19 in year 1. This figure grew to 380 by year 10. CONCLUSION: Our model shows that a rough estimation of gains in to patient access can be incorporated to traditional ROI analyses. The results of our case study suggest that a CHW program and statewide HIE can generate a positive ROI for the state's Medicaid program.

Determinants of specialist physician ambulatory visits: a neurology example.

Background: Economic theory argues that specialization in medicine improves efficiency. Current literature suggests that access to and utilization of specialist care vary widely based on many determinants. Thus, understanding the determinants of specialist physician ambulatory care utilization is integral to healthcare policy. Objectives: The objective is to investigate the individual and community determinants of specialist ambulatory care utilization-specifically neurologists. The aim was to find predictors of specialist utilization and to identify the particular determinants that can be modified by regulatory or legislative action. Methods: A large claims database, Truven Health Analytics™ Marketscan data, was used from 2007-2010 as the sample. These data are supplemented with data from the American Academy of Neurology (for geographic distribution of neurologists) and the US Census American FactFinder (for community demographic factors). Multivariate regression analysis was run to test the hypotheses. Several robustness tests of our models were included. Results: Most importantly, neurologists per capita has a meaningful impact on utilization. Additionally, the difference in neurologist usage by neurological condition is an important factor. It was also found that union status, age, comorbidities, and diagnosis are significant individual level determinants, and that the percentage of Hispanic residents and median income are significant community level determinants. Conclusions: There are two predictors believed to be the most important. The first is the unique neurologists per 1,000 capita variable, which shows a small increase in the number of neurologists would be correlated with a small increase in the probability of seeing a neurologist. We suggest that this is within policymakers' control, and policymakers should consider this action in the face of the predicted shortage. The second is what appears to be possible sorting by neurologists of patients based on diagnosis - the large difference in the fraction of patients seeing a neurologist by disease.

Determinants of private health insurance coverage among Mexican American men 2010-2013.

BACKGROUND: Private health insurance (PHI) represents the largest source of insurance for Americans. Hispanic Americans have one of the lowest rates of PHI coverage. The largest group in the US Hispanic population are Mexican Americans; they account for about two in every three Hispanics. One in every three Mexican Americans aged 64 years and under did not have health insurance coverage. Mexican Americans have the most unfavorable health insurance coverage of any population group in the nation. OBJECTIVES: The objective is to determine the factors associated with the gap in PHI coverage between Mexican American and non-Hispanic American men. METHODS: This study used the National Health Interview Surveys (2010-2013) as the sample. A non-linear Oaxaca-Blinder decomposition was run, estimating the explained and unexplained gap in PHI coverage between the groups. Several robustness tests of the model were also included. RESULTS: This study estimates that 44.4% of employed Mexican American men are covered by PHI compared to 79.5% of non-Hispanic American men. Nearly 60% of employed Mexican American men were found to be foreign born, 35% have an educational attainment less than a high school degree, and 40% are likely to have language barriers. Decomposition results show that income, low educational attainment, being foreign-born, and language barriers diminished the probability of private health insurance coverage for Mexican Americans, and that 10% of the gap is unexplained. CONCLUSIONS: Most of the difference in the PHI rate between Mexican American men and non-Hispanic men is explained by observable differences in group characteristics: education, language, and immigration status. About 10% of the difference can be attributed to discrimination under the traditional interpretation of an Oaxaca-Blinder decomposition. The PHI rate gap is large and persistent for Mexican American men.

Cost-effectiveness of Access to Critical Cerebral Emergency Support Services (ACCESS): a neuro-emergent telemedicine consultation program.

AIMS: Access to Critical Cerebral Emergency Support Services (ACCESS) was developed as a low-cost solution to providing neuro-emergent consultations to rural hospitals in New Mexico that do not offer comprehensive stroke care. ACCESS is a two-way audio-visual program linking remote emergency department physicians and their patients to stroke specialists. ACCESS also has an education component in which hospitals receive training from stroke specialists on the triage and treatment of patients. This study assessed the clinical and economic outcomes of the ACCESS program in providing services to rural New Mexico from a healthcare payer perspective. METHODS: A decision tree model was constructed using findings from the ACCESS program and existing literature, the likelihood that a patient will receive a tissue plasminogen activator (tPA), cost of care, and resulting quality adjusted life years (QALYs). Data from the ACCESS program includes emergency room patients in rural New Mexico from May 2015 to August 2016. Outcomes and costs have been estimated for patients who were taken to a hospital providing neurological telecare and patients who were not. RESULTS: The use of ACCESS decreased neuro-emergent stroke patient transfers from rural hospitals to urban settings from 85% to 5% (no tPA) and 90% to 23% (tPA), while stroke specialist reading of patient CT/MRI imaging within 3 h of onset of stroke symptoms increased from 2% to 22%. Results indicate that use of ACCESS has the potential to save $4,241 ($3,952-$4,438) per patient and increase QALYs by 0.20 (0.14-0.22). This increase in QALYs equates to ∼73 more days of life at full health. The cost savings and QALYs are expected to increase when moving from a 90-day model to a lifetime model. CONCLUSION: The analysis demonstrates potential savings and improved quality-of-life associated with the use of ACCESS for patients presenting to rural hospitals with acute ischemic stroke (AIS).

Does intraoperative neurophysiologic monitoring matter in noncomplex spine surgeries?

OBJECTIVES: To determine associations between intraoperative neurophysiologic monitoring (IOM) for spinal decompressions and simple fusions with neurologic complications, length of stay, and hospitalization charges. METHODS: Adult discharges in the Nationwide/National Inpatient Sample (NIS) (2007-2012) with spinal decompressions and simple spinal fusions were included. Revision surgeries, instrumentations, complicated approaches, and tumor- and trauma-related surgeries were excluded. Extracted data included patient demographics, medical comorbidities, primary spinal surgery type, and hospital characteristics. Bivariate and multiple regression analyses using NIS survey design variables correlated IOM use with neurologic complications, hospital charges, and length of stay. RESULTS: IOM was reported in 4.9% of an estimated 1.1 million discharges in the weighted sample. Discharges reporting IOM were more often privately insured (61% vs 57%, p < 0.001) and had slightly more comorbidities (25% vs 24% with 3+ comorbidities, p = 0.01). Spinal fusions more often reported IOM than decompressions. The IOM group had fewer neurologic complications (0.8% vs 1.4% of controls) with no difference in length of stay (3.0 days for each group), but increased hospital charges (39% greater). Multiple regression adjustment showed significant associations of IOM with fewer neurologic complications (odds ratio 0.60, 95% confidence interval [CI] 0.47, 0.76, p < 0.001), while the estimated percentage of hospital charges was sizably diminished from the unadjusted analysis (IOM effect +9%, 95% CI +4%, +13%, p < 0.001), and length of stay was reduced (IOM effect -0.26 days, 95% CI -0.42, -0.11, p < 0.001). CONCLUSIONS: IOM was associated with better clinical outcomes and some increased hospital charges among discharges of simple spinal fusions and laminectomies in a large, multiyear, nationally representative dataset.

Rates of opioid misuse, abuse, and addiction in chronic pain: a systematic review and data synthesis.

Opioid use in chronic pain treatment is complex, as patients may derive both benefit and harm. Identification of individuals currently using opioids in a problematic way is important given the substantial recent increases in prescription rates and consequent increases in morbidity and mortality. The present review provides updated and expanded information regarding rates of problematic opioid use in chronic pain. Because previous reviews have indicated substantial variability in this literature, several steps were taken to enhance precision and utility. First, problematic use was coded using explicitly defined terms, referring to different patterns of use (ie, misuse, abuse, and addiction). Second, average prevalence rates were calculated and weighted by sample size and study quality. Third, the influence of differences in study methodology was examined. In total, data from 38 studies were included. Rates of problematic use were quite broad, ranging from <1% to 81% across studies. Across most calculations, rates of misuse averaged between 21% and 29% (range, 95% confidence interval [CI]: 13%-38%). Rates of addiction averaged between 8% and 12% (range, 95% CI: 3%-17%). Abuse was reported in only a single study. Only 1 difference emerged when study methods were examined, where rates of addiction were lower in studies that identified prevalence assessment as a primary, rather than secondary, objective. Although significant variability remains in this literature, this review provides guidance regarding possible average rates of opioid misuse and addiction and also highlights areas in need of further clarification.

Comparative effectiveness analyses of intraoperative neurophysiological monitoring in spinal surgery.

Intraoperative neurophysiological monitoring for surgeries of the spine has been performed in clinical practice for several decades, but recent alterations in reimbursement schemes by third party payers have raised issues of the value of these procedures. Decision modeling using comparative effectiveness techniques holds the promise of evidence-based assessment of both cost and meaningful outcomes. In this article, we review the elements of comparative effectiveness analyses followed by a critical appraisal of the small but growing body of cost-effectiveness literature for intraoperative neurophysiological monitoring in spine.

Cost-effectiveness of pit-and-fissure sealants on primary molars in Medicaid-enrolled children.

OBJECTIVES: We compared the incremental cost-effectiveness of 2 primary molar sealant strategies-always seal and never seal-with standard care for Medicaid-enrolled children. METHODS: We used Iowa Medicaid claims data (2008-2011), developed a tooth-level Markov model for 10 000 teeth, and compared costs, treatment avoided, and incremental cost per treatment avoided for the 2 sealant strategies with standard care. RESULTS: In 10 000 simulated teeth, standard care cost $214 510, always seal cost $232 141, and never seal cost $186 010. Relative to standard care, always seal reduced the number of restorations to 340 from 2389, whereas never seal increased restorations to 2853. Compared with standard care, always seal cost $8.12 per restoration avoided (95% confidence interval [CI] = $4.10, $12.26; P ≤ .001). Compared with never seal, standard care cost $65.62 per restoration avoided (95% CI = $52.99, $78.26; P ≤ .001). CONCLUSIONS: Relative to standard care, always sealing primary molars is more costly but reduces subsequent dental treatment. Never sealing costs less but leads to more treatment. State Medicaid programs that do not currently reimburse dentists for primary molar sealants should consider reimbursement for primary molar sealant procedures as a population-based strategy to prevent tooth decay and reduce later treatment needs in vulnerable young children.

Continuous and routine EEG in intensive care: utilization and outcomes, United States 2005-2009.

OBJECTIVES: To evaluate the effect of intensive care unit continuous EEG (cEEG) monitoring on inpatient mortality, hospital charges, and length of stay. METHODS: A retrospective cross-sectional study was conducted using the Nationwide Inpatient Sample, a dataset representing 20% of inpatient discharges in nonfederal US hospitals. Adult discharge records reporting mechanical ventilation and EEG (routine EEG or cEEG) were included. cEEG was compared with routine EEG alone in association with the primary outcome of in-hospital mortality and secondary outcomes of total hospital charges and length of stay. Demographics, hospital characteristics, and medical comorbidity were used for multivariate adjustments of the primary and secondary outcomes. RESULTS: A total of 40,945 patient discharges in the weighted sample met inclusion criteria, of which 5,949 had reported cEEG. Mechanically ventilated patients receiving cEEG were younger than routine EEG patients (56 vs 61 years; p < 0.001). There was no difference in the 2 groups in income or medical comorbidities. cEEG was significantly associated with lower in-hospital mortality in both univariate (odds ratio = 0.54, 95% confidence interval 0.45-0.64; p < 0.001) and multivariate (odds ratio = 0.63, 95% confidence interval 0.51-0.76; p < 0.001) analyses. There was no significant difference in costs or length of stay for patients who received cEEG relative to those receiving only routine EEG. Sensitivity analysis showed that adjusting for diagnosis-related groups (DRGs) for any neurologic diagnoses, DRGs for neurologic procedures, and specific DRGs for epilepsy/convulsions did not substantially alter the association of cEEG with reduced inpatient mortality. CONCLUSIONS: cEEG is favorably associated with inpatient survival in mechanically ventilated patients, without adding significant charges to the hospital stay.

Cost-benefit analysis: intraoperative neurophysiological monitoring in spinal surgeries.

PURPOSE: To construct a cost-benefit model for intraoperative neurophysiological monitoring (IOM) in spinal surgeries. METHODS: Decision model was based on sensitivity, specificity, IOM cost, prevention rate given an IOM alert, and spinal procedure neurologic complication rates in pooled estimates from the published literature with outcome of lifetime costs after neuromonitored versus unmonitored spinal surgeries. Lifetime cost of neurologic injury was the sum of direct health care costs and lost wages and benefits. Results from Monte Carlo simulation with 10,000 replications were analyzed for cost outcomes and relationship of input variables to outcomes. RESULTS: IOM saved $23,189 (P < 0.001) for the reference case of 50-year-olds with neurologic complication rate of 5%, 2009 Medicare reimbursement of IOM at $1,535 per operation, 52.4% prevention rate given an IOM alert at 94.3% sensitivity and 95.6% specificity, assuming incomplete (nonplegic) motor injury. The baseline risk of surgery, lifetime costs after neurologic deficit, and ability to prevent neurologic deficits after an IOM alert were most correlated with cost outcomes. In linear prediction models, IOM remained cost-saving when neurologic complication rate from surgery exceeded 0.3% (P < 0.001) and prevention rate after IOM alert was greater than 14.2%(P = 0.02). CONCLUSIONS: Intraoperative monitoring is cost-saving for spinal surgeries in a theoretical model based on the current published literature.