Strokes Averted by Intravenous Thrombolysis: A Secondary Analysis of a Prospective, Multicenter, Controlled Trial of Mobile Stroke Units.

OBJECTIVE: This study was undertaken to examine averted stroke in optimized stroke systems. METHODS: This secondary analysis of a multicenter trial from 2014 to 2020 compared patients treated by mobile stroke unit (MSU) versus standard management. The analytical cohort consisted of participants with suspected stroke treated with intravenous thrombolysis. The main outcome was a tissue-defined averted stroke, defined as a final diagnosis of stroke with resolution of presenting symptoms/signs by 24 hours attributed to thrombolysis and no acute infarction/hemorrhage on imaging. An additional outcome was stroke with early symptom resolution, defined as a final diagnosis of stroke with resolution of presenting symptoms/signs by 24 hours attributed to thrombolysis. RESULTS: Among 1,009 patients with a median last known well to thrombolysis time of 87 minutes, 159 (16%) had tissue-defined averted stroke and 276 (27%) had stroke with early symptom resolution. Compared with standard management, MSU care was associated with more tissue-defined averted stroke (18% vs 11%, adjusted odds ratio [aOR] = 1.82, 95% confidence interval [CI] = 1.13-2.98) and stroke with early symptom resolution (31% vs 21%, aOR = 1.74, 95% CI = 1.12-2.61). The relationships between thrombolysis treatment time and averted/early recovered stroke appeared nonlinear. Most models indicated increased odds for stroke with early symptom resolution but not tissue-defined averted stroke with earlier treatment. Additionally, younger age, female gender, hyperlipidemia, lower National Institutes of Health Stroke Scale, lower blood pressure, and no large vessel occlusion were associated with both tissue-defined averted stroke and stroke with early symptom resolution. INTERPRETATION: In optimized stroke systems, 1 in 4 patients treated with thrombolysis recovered within 24 hours and 1 in 6 had no demonstrable brain injury on imaging. ANN NEUROL 2024;95:347-361.

Prospective, Multicenter, Controlled Trial of Mobile Stroke Units.

BACKGROUND: Mobile stroke units (MSUs) are ambulances with staff and a computed tomographic scanner that may enable faster treatment with tissue plasminogen activator (t-PA) than standard management by emergency medical services (EMS). Whether and how much MSUs alter outcomes has not been extensively studied. METHODS: In an observational, prospective, multicenter, alternating-week trial, we assessed outcomes from MSU or EMS management within 4.5 hours after onset of acute stroke symptoms. The primary outcome was the score on the utility-weighted modified Rankin scale (range, 0 to 1, with higher scores indicating better outcomes according to a patient value system, derived from scores on the modified Rankin scale of 0 to 6, with higher scores indicating more disability). The main analysis involved dichotomized scores on the utility-weighted modified Rankin scale (≥0.91 or <0.91, approximating scores on the modified Rankin scale of ≤1 or >1) at 90 days in patients eligible for t-PA. Analyses were also performed in all enrolled patients. RESULTS: We enrolled 1515 patients, of whom 1047 were eligible to receive t-PA; 617 received care by MSU and 430 by EMS. The median time from onset of stroke to administration of t-PA was 72 minutes in the MSU group and 108 minutes in the EMS group. Of patients eligible for t-PA, 97.1% in the MSU group received t-PA, as compared with 79.5% in the EMS group. The mean score on the utility-weighted modified Rankin scale at 90 days in patients eligible for t-PA was 0.72 in the MSU group and 0.66 in the EMS group (adjusted odds ratio for a score of ≥0.91, 2.43; 95% confidence interval [CI], 1.75 to 3.36; P<0.001). Among the patients eligible for t-PA, 55.0% in the MSU group and 44.4% in the EMS group had a score of 0 or 1 on the modified Rankin scale at 90 days. Among all enrolled patients, the mean score on the utility-weighted modified Rankin scale at discharge was 0.57 in the MSU group and 0.51 in the EMS group (adjusted odds ratio for a score of ≥0.91, 1.82; 95% CI, 1.39 to 2.37; P<0.001). Secondary clinical outcomes generally favored MSUs. Mortality at 90 days was 8.9% in the MSU group and 11.9% in the EMS group. CONCLUSIONS: In patients with acute stroke who were eligible for t-PA, utility-weighted disability outcomes at 90 days were better with MSUs than with EMS. (Funded by the Patient-Centered Outcomes Research Institute; BEST-MSU ClinicalTrials.gov number, NCT02190500.).

Golden Hour Treatment With tPA (Tissue-Type Plasminogen Activator) in the BEST-MSU Study.

BACKGROUND: Treatment of patients with acute ischemic stroke on mobile stroke units (MSUs) improves outcomes compared with management by standard emergency medical services ambulances and is associated with more patients treated with intravenous tPA (tissue-type plasminogen activator) in the first golden hour after last known normal. We explored the predictors and outcomes of first-hour treatment (FHT) compared with later treatment in an alternating-week cluster-controlled trial of MSUs. METHODS: We analyzed all patients treated with intravenous tPA in the BEST-MSU Study (Benefits of Stroke Treatment Delivered by a Mobile Stroke Unit Compared to Standard Management by Emergency Medical Services). After stratifying by treatment timeframe, we identified factors associated with FHT. We performed adjusted analyses of the association between FHT and clinical outcome and modeled the shape of the relationship between last known normal-to-treatment time and excellent outcome. RESULTS: Among 941 tPA-treated patients, 206 (21.8%) had lytic started within 60 minutes. Treatment on the MSU, older age, male sex, alert by 911, faster arrival on-scene and imaging, more severe stroke, atrial fibrillation, and absence of heart failure and pretreatment antihypertensive treatment were associated with FHT. Compared with later treatment, FHT was associated with higher adjusted odds ratio for 90-day modified Rankin Scale score of 0 to 1 (odds ratio, 1.87 [95% CI, 1.25-2.84]; P=0.003). Among FHT patients, 68% achieved a 90-day modified Rankin Scale of 0 or 1 or returned to their baseline status. FHT was not associated with higher risk of hemorrhage and was associated with reduced risk of treating neurovascular mimics. CONCLUSIONS: FHT almost doubles the odds of excellent clinical outcome without increased risk compared with later treatment, which supports the use of MSUs.

Bayesian regularization to predict neuropsychiatric adverse events in smoking cessation with pharmacotherapy.

BACKGROUND: Research on risk factors for neuropsychiatric adverse events (NAEs) in smoking cessation with pharmacotherapy is scarce. We aimed to identify predictors and develop a prediction model for risk of NAEs in smoking cessation with medications using Bayesian regularization. METHODS: Bayesian regularization was implemented by applying two shrinkage priors, Horseshoe and Laplace, to generalized linear mixed models on data from 1203 patients treated with nicotine patch, varenicline or placebo. Two predictor models were considered to separate summary scores and item scores in the psychosocial instruments. The summary score model had 19 predictors or 26 dummy variables and the item score model 51 predictors or 58 dummy variables. A total of 18 models were investigated. RESULTS: An item score model with Horseshoe prior and 7 degrees of freedom was selected as the final model upon model comparison and assessment. At baseline, smokers reporting more abnormal dreams or nightmares had 16% greater odds of experiencing NAEs during treatment (regularized odds ratio (rOR) = 1.16, 95% credible interval (CrI) = 0.95 - 1.56, posterior probability P(rOR > 1) = 0.90) while those with more severe sleep problems had 9% greater odds (rOR = 1.09, 95% CrI = 0.95 - 1.37, P(rOR > 1) = 0.85). The prouder a person felt one week before baseline resulted in 13% smaller odds of having NAEs (rOR = 0.87, 95% CrI = 0.71 - 1.02, P(rOR < 1) = 0.94). Odds of NAEs were comparable across treatment groups. The final model did not perform well in the test set. CONCLUSIONS: Worse sleep-related symptoms reported at baseline resulted in 85%-90% probability of being more likely to experience NAEs during smoking cessation with pharmacotherapy. Treatment for sleep disturbance should be incorporated in smoking cessation program for smokers with sleep disturbance at baseline. Bayesian regularization with Horseshoe prior permits including more predictors in a regression model when there is a low number of events per variable.

Implementation of an Evidence-Based Intervention with Safety Net Clinics to Improve Mammography Appointment Adherence Among Underserved Women.

The Peace of Mind Program is an evidence-based intervention to improve mammography appointment adherence in underserved women. The aim of this study was to assess effectiveness of the intervention and implementation of the intervention in safety net clinics. The intervention was implemented through a non-randomized stepped wedge cluster hybrid study design with 19 Federally Qualified Health Centers and charity care clinics within the Greater Houston area. A multivariable generalized estimating equation logistic regression was conducted to examine mammography appointment adherence. A survey assessing Consolidated Framework for Implementation Research constructs was also conducted with clinic staff prior to adoption and eight weeks post implementation. One-sided t-tests were conducted to analyze mean score changes between the surveys. A total of 4402 women (baseline period = 2078; intervention period = 2324) were included in the final regression analysis. Women in the intervention period were more likely to attend or reschedule their mammography appointment (OR = 1.30; p < 0.01) than those in the baseline period receiving usual care. Women who completed the intervention were more likely to attend or reschedule their mammography appointment than those who did not complete the intervention (OR = 1.62; p < 0.01). The mammography appointment no-show rates for those in the baseline period, in the intervention period, and who completed the intervention were, respectively, 22%, 19%, and 15%. A total of 15 clinics prior to adoption and eight clinics completed the survey at 8 weeks post implementation A statistically significant mean score decrease was observed in Inner Setting and in two Inner Setting CFIR constructs, Culture-Effort, and Implementation Climate. While the intervention improved mammography appointment adherence, there are opportunities to further integrate Consolidated Framework for Implementation Research constructs. Trial registration: Clinical trials registration number: NCT02296177.

Hemorrhage Enlargement Is More Frequent in the First 2 Hours: A Prehospital Mobile Stroke Unit Study.

BACKGROUND: Hematoma enlargement (HE) after intracerebral hemorrhage (ICH) is a therapeutic target for improving outcomes. Hemostatic therapies to prevent HE may be more effective the earlier they are attempted. An understanding of HE in first 1 to 2 hours specifically in the prehospital setting would help guide future treatment interventions in this time frame and setting. METHODS: Patients with spontaneous ICH within 4 hours of symptom onset were prospectively evaluated between May 2014 and April 2020 as a prespecified substudy within a multicenter trial of prehospital mobile stroke unit versus standard management. Baseline computed tomography scans obtained <1, 1 to 2, and 2 to 4 hours postsymptom onset on the mobile stroke unit in the prehospital setting were compared with computed tomography scans repeated 1 hour later and at 24 hours in the hospital. HE was defined as >6 mL if baseline ICH volume was <20 mL and 33% increase if baseline volume >20 mL. The association between time from symptom onset to baseline computed tomography (hours) and HE was investigated using Wilcoxon rank-sum test when time was treated as a continuous variable and using Fisher exact test when time was categorized. Kruskal-Wallis and Wilcoxon rank-sum tests evaluated differences in baseline volumes and HE. Univariable and multivariable logistic regression analyses were conducted to identify factors associated with HE and variable selection was performed using cross-validated L1-regularized (Lasso regression). This study adhered to STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology) for cohort studies. RESULTS: One hundred thirty-nine patients were included. There was no difference between baseline ICH volumes obtained <1 hour (n=43) versus 1 to 2 hour (n=51) versus >2 hours (n=45) from symptom onset (median [interquartile range], 13 mL [6-24] versus 14 mL [6-30] versus 12 mL [4-19]; P=0.65). However, within the same 3 time epochs, initial hematoma growth (volume/time from onset) was greater with earlier baseline scanning (median [interquartile range], 17 mL/hour [9-35] versus 9 mL/hour [5-23]) versus 4 mL/hour [2-7]; P<0.001). Forty-nine patients had repeat scans 1 hour after baseline imaging (median, 2.3 hours [interquartile range. 1.9-3.1] after symptom onset). Eight patients (16%) had HE during that 1-hour interval; all of these occurred in patients with baseline imaging within 2 hours of onset (5/18=28% with baseline imaging within 1 hour, 3/18=17% within 1-2 hour, 0/13=0% >2 hours; P=0.02). HE did not occur between the scans repeated at 1 hour and 24 hours. No association between baseline variables and HE was detected in multivariable analyses. CONCLUSIONS: HE in the next hour occurs in 28% of ICH patients with baseline imaging within the first hour after symptom onset, and in 17% of those with baseline imaging between 1 and 2 hours. These patients would be a target for ultraearly hemostatic intervention.

Machine Learning Automated Detection of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography.

BACKGROUND: Prehospital automated large vessel occlusion (LVO) detection in Mobile Stroke Units (MSUs) could accelerate identification and treatment of patients with LVO acute ischemic stroke. Here, we evaluate the performance of a machine learning (ML) model on CT angiograms (CTAs) obtained from 2 MSUs to detect LVO. METHODS: Patients evaluated on MSUs in Houston and Los Angeles with out-of-hospital CTAs were identified. Anterior circulation LVO was defined as an occlusion of the intracranial internal carotid artery, middle cerebral artery (M1 or M2), or anterior cerebral artery vessels and determined by an expert human reader. A ML model to detect LVO was trained and tested on independent data sets consisting of in-hospital CTAs and then tested on MSU CTA images. Model performance was determined using area under the receiver-operator curve statistics. RESULTS: Among 68 patients with out-of-hospital MSU CTAs, 40% had an LVO. The most common occlusion location was the middle cerebral artery M1 segment (59%), followed by the internal carotid artery (30%), and middle cerebral artery M2 (11%). Median time from last known well to CTA imaging was 88.0 (interquartile range, 59.5-196.0) minutes. After training on 870 in-hospital CTAs, the ML model performed well in identifying LVO in a separate in-hospital data set of 441 images with area under receiver-operator curve of 0.84 (95% CI, 0.80-0.87). ML algorithm analysis time was under 1 minute. The performance of the ML model on the MSU CTA images was comparable with area under receiver-operator curve 0.80 (95% CI, 0.71-0.89). There was no significant difference in performance between the Houston and Los Angeles MSU CTA cohorts. CONCLUSIONS: In this study of patients evaluated on MSUs in 2 cities, a ML algorithm was able to accurately and rapidly detect LVO using prehospital CTA acquisitions.

Estimation of Utility Values for Computing Quality-adjusted Life Years Associated With Homelessness.

BACKGROUND: There is a lack of data-driven evidence about the burden of homelessness, and lack of a holistic measure of effectiveness for evaluating interventions targeting homelessness. Quality-adjusted life years (QALYs) can help holistically capture the burden of homelessness, and facilitate the valuation and comparison of interventions designed to address homelessness. OBJECTIVE: This study estimated utility values required to compute the QALYs associated with homelessness, and also examined individual-level characteristics that affect these values. RESEARCH DESIGN: The study is cross-sectional and derived from a large national survey conducted during the coronavirus disease 2019 pandemic. SUBJECTS: A sample of 6607 middle- and low-income adults in the United States. MEASURES: A self-completion standard gamble survey was used to estimate utility values associated with homelessness. Linear regression was used to analyze the association between individual-level characteristics and these utility values. RESULTS: The study estimated the average utility value associated with homelessness as 43.4% among the study participants. This implies that 1 year of life as a homeless individual is perceived to be equivalent to less than half a year of life as a stably housed individual in good health. The study also found that individuals who have experienced homelessness and financial distress value life as a homeless person considerably less than those who have not had these experiences. CONCLUSIONS: The method developed in this study can be used to estimate QALYs in studies evaluating homelessness interventions, thereby establishing the societal value of these interventions and informing policy and budgetary decision-making. Future studies estimating the utility values associated with homelessness in the general population, as well as specific homeless groups, are required to provide more generalizable evidence.

An Alternative Method of Public Reporting of Comparative Hospital Quality and Performance Data for Transparency Initiatives.

BACKGROUND: Hospital performance comparisons for transparency initiatives may be inadequate if peer comparison groups are poorly defined. OBJECTIVE: The objective of this study was to evaluate a new approach identifying hospital peers for comparison. DESIGN/SETTING: We used Mahalanobis distance as a new method of developing peer-specific groupings for hospitals to incorporate both external and internal complexity. We compared the overlap in groups with an existing method used by the Veterans' Health Administration's Office for Productivity, Efficiency, and Staffing (OPES). PARTICIPANTS: One hundred twenty-two acute-care Veterans' Health Administration's Medical Facilities as defined in the OPES fiscal year 2014 report. MEASURES: Using 15 variables in 9 categories developed from expert input, including both hospital internal measures and community-based external measures, we used principal components analysis and calculated Mahalanobis distance between each hospital pair. This method accounts for correlation between variables and allows for variables having different variances. We identified the 50 closest hospitals, then eliminated any potential peer whose score on the first component was >1 SD from the reference hospital. We compared overlap with OPES measures. RESULTS: Of 15 variables, 12 have SDs exceeding 25% of their means. The first 2 components of our analysis explain 24.8% and 18.5% of variation among hospitals. Eight of 9 variables scaling positively on the first component measure internal complexity, aligning with OPES groups. Four of 5 variables scaling positively on the second component but not the first are factors from the policy environment; this component reflects a dimension not considered in OPES groups. CONCLUSION: Individualized peers that incorporate external complexity generate more nuanced comparators to evaluate quality.

Retrospectively Collected EQ-5D-5L Data as Valid Proxies for Imputing Missing Information in Longitudinal Studies.

OBJECTIVES: Studies face challenges with missing 5-level EQ-5D (EQ-5D-5L) data, often because of the need for longitudinal EQ-5D-5L data collection. There is a dearth of validated methodologies for dealing with missing EQ-5D-5L data in the literature. This study, for the first time, examined the possibility of using retrospectively collected EQ-5D-5L data as proxies for the missing data. METHODS: Participants who had prospectively completed a 3rd month postdischarge EQ-5D-5L instrument (in-the-moment collection) were randomly interviewed to respond to a 2nd "retrospective collection" of their 3rd month EQ-5D-5L at 6th, 9th, or 12th month after hospital discharge. A longitudinal single imputation was also used to assess the relative performance of retrospective collection compared with the longitudinal single imputation. Concordances between the in-the-moment, retrospective, and imputed measures were assessed using intraclass correlation coefficients and weighted kappa statistics. RESULTS: Considerable agreement was observed on the basis of weighted kappa (range 0.72-0.95) between the mobility, self-care, and usual activities dimensions of EQ-5D-5L collected in-the-moment and retrospectively. Concordance based on intraclass correlation coefficients was good to excellent (range 0.79-0.81) for utility indices computed, and excellent (range 0.93-0.96) for quality-adjusted life-years computed using in-the-moment compared with retrospective EQ-5D-5L. The longitudinal single imputation did not perform as well as the retrospective collection method. CONCLUSIONS: This study demonstrates that retrospective collection of EQ-5D-5L has high concordance with "in-the-moment" EQ-5D-5L and could be a valid and attractive alternative for data imputation when longitudinally collected EQ-5D-5L data are missing. Future studies examining this method for other disease areas and populations are required to provide more generalizable evidence.

The effect of antiretroviral therapy guideline change on health outcomes among youth living with HIV in Uganda.

ABSTRACTOpportunistic infections (OIs) are the primary cause of HIV-related morbidity and mortality. To reduce the risk, the ART eligibility criteria were revised to start treatment before advanced disease onset. We evaluated the effect of 2014 HIV clinical guideline changes in Uganda on opportunistic infections and survival among Youth Living with HIV (YLWH). This retrospective cohort analysis used administrative data from the District Health Information System (DHIS2) and the national referral hospital, to compare YLWH, 15-24 years old, who started ART pre-guideline (January 2012-June 2014) and post-guideline (July 2014-December 2016). We assessed the effect using multivariable logistic and Cox Proportional Hazards regression models, respectively. Post-guideline youth had 18% and 30% lower adjusted odds of having an OI at 6 (aOR: 0.82, 95%CI: 0.67, 0.99), and 12 months (aOR: 0.70, 95%CI: 0.58, 0.85) after ART initiation, compared to pre-guideline youth. No significant differences were observed in survival probabilities (Z = 2.56, P-value = 0.11) and adjusted hazard ratios (aHR: 1.55, 95%CI: 0.46, 5.28). Early ART initiation reduced the risk of OIs among YLWH. However, given the existence of geographical and clinical variations in the endemicity, morbidity and mortality associated with different OIs, additional research is still needed.

The beneficial effect of providing kidney transplantation information on transplantation status differs between for-profit and nonprofit dialysis centers.

Informing end-stage kidney disease patients about kidney transplantation options increases the likelihood of kidney transplant waiting list (WL) enrollment and live donor kidney transplant (LDKT) receipt. Patients in for-profit dialysis centers have lower rates of WL enrollment and LDKT receipt. This study examined if the ownership status of dialysis centers modified the association between informing patients about transplantation options and patients' transplantation status. Multilevel analysis using mixed-effect multinomial logistic regression was performed using the United States Renal Data System (USRDS) data (January 2005 to December 2017). The study showed that informing patients improved the odds of WL enrollment and LDKT receipt. However, the effect of informing patients on transplantation status was less pronounced at for-profit as compared with nonprofit centers (Nonprofit: WL enrollment OR: 2.23 [95% CI: 2.07-2.40], and LDKT receipt OR: 3.35 [95% CI: 2.65-4.25]. For-profit: WL enrollment OR: 1.73 [95% CI: 1.66-1.79], and LDKT receipt OR: 2.35 [95% CI: 2.08-2.66]), although the odds of informing patients was higher for for-profit centers, and type of patients informed were similar across both types of centers. Information provided by for-profit centers was potentially less effective than those provided by nonprofit centers. Standardized guidelines for transplantation information provision are needed in order to ensure similar informational quality across centers.

Mobile Stroke Unit Computed Tomography Angiography Substantially Shortens Door-to-Puncture Time.

Background and Purpose- Endovascular thrombectomy (ET) door-to-puncture time (DTPT) is a modifiable metric. One of the most important, yet time-consuming steps, is documentation of large vessel occlusion by computed tomography angiography (CTA). We hypothesized that obtaining CTA on board a Mobile Stroke Unit and direct alert of the ET team shortens DTPT by over 30 minutes. Methods- We compared DTPT between patients having CTA onboard the Mobile Stroke Unit then subsequent ET from September 2018 to November 2019 and patients in Mobile Stroke Unit from August 2014 to August 2018, when onboard CTA was not yet being used. We also correlated DTPT with change in National Institutes of Health Stroke Scale between baseline and 24 hours. Results- Median DTPT was 53.5 (95% CI, 35-67) minutes shorter with onboard CTA and direct ET team notification: 41 minutes (interquartile range, 30.0-63.5) versus 94.5 minutes (interquartile range, 69.8-117.3; P<0.001). Median on-scene time was 31.5 minutes (interquartile range, 28.8-35.5) versus 27.0 minutes (interquartile range, 23.0-31.0) (P<0.001). Shorter DTPT correlated with greater improvement of National Institutes of Health Stroke Scale (correlation=-0.2, P=0.07). Conclusions- Prehospital Mobile Stroke Unit management including on-board CTA and ET team alert substantially shortens DTPT. Registration- URL: https://clinicaltrials.gov; Unique identifier: NCT02190500.

Retrospective collection of 90-day modified Rankin Scale is accurate.

BACKGROUND: The 90-day modified Rankin Scale is a widely used outcome after stroke but is sometimes hard to ascertain due to loss to follow-up. Missing outcomes can result in biased and/or inefficient estimates in clinical trials. The aim of this study is to assess the validity of acquiring the 90-day modified Rankin Scale at a later point of time when the patient has been lost at 90 days to impute the missing value. METHODS: Participants who had prospectively completed a 90-day modified Rankin Scale questionnaire on their own in the Benefits of Stroke Treatment Using a Mobile Stroke Unit study were randomly interviewed to recall the 90-day modified Rankin Scale at 6, 9, or 12 months after hospital discharge over the phone. Concordance between the two scores was assessed using kappa and weighted kappa statistics. Logistic regression was used to identify factors associated with inconsistent reporting of the 90-day modified Rankin Scale. RESULTS: Substantial agreement was observed between in-the-moment and retrospective 90-day modified Rankin Scale recalled at 6, 9, or 12 months (weighted kappa = 0.93, 95% confidence interval: 0.89-0.98; weighted kappa = 0.93, 95% confidence interval: 0.85-1.00 and weighted kappa = 0.89, 95% confidence interval: 0.82-0.95, respectively). CONCLUSION: Retrospective recall of 90-day modified Rankin Scale at a later time point is a valid means to impute missing data in stroke clinical trials.

Factors Associated With Childhood Vaccination Adherence in Kindergartens of the Houston Independent School District.

OBJECTIVE: Adequate childhood vaccination rates are crucial for successful control of infectious diseases. Nevertheless, exemption requests, lack of health care access and information and other barriers can reduce vaccination adherence rates, and increase the risk of epidemics. This study aimed to identify factors associated with kindergarten vaccination adherence in the Houston Independent School District (HISD). DESIGN AND SETTING: This study was a retrospective observational data analysis. The study used data from 155 elementary schools of the HISD. The data sets included were (1) Elementary School Profile Reports (2015-2016) and (2) Annual Report of Immunization Status (2016-2017). Logistic regression was used to examine the association between vaccination adherence in schools and the school's student demographic and economic profile, student behavior indicators, teacher profile, and school rank. MAIN OUTCOME MEASURE: A binary variable measuring adequate vaccination adherence rates in schools is the main outcome variable. RESULTS: Lower vaccination adherence among the kindergarten students was associated with higher enrollment, a higher percentage of African American students and students with English as second language, and a lower percentage of gifted/talented students in the schools. CONCLUSIONS: The school characteristics that were found to be significantly associated with kindergarten student vaccination adherence in this study are the ones that have historically been associated with socioeconomic determinants of health and socioeconomic privilege. Hence, the findings of this study suggest the need for development of policies and interventions that can help overcome the barriers associated with low socioeconomic status, language, and marginalization in order to improve vaccination rates in school districts. These include culturally appropriate polices and health promotion, patient navigation, and educational interventions that can overcome the challenges faced by socially and economically vulnerable minorities and immigrant communities in order to improve vaccination rates.

Emergency Department Door-to-Puncture Time Since 2014.

Background and Purpose- The impact of a mobile stroke unit (MSU) on access to intraarterial thrombectomy (IAT) is a prespecified BEST-MSU substudy (Benefits of Stroke Treatment Delivered Using a Mobile Stroke Unit Compared to Standard Management by Emergency Medical Services). On the MSU, IAT decision-making steps, such as computed tomography, neurological exam, and tPA (tissue-type plasminogen activator) treatment are completed before emergency department arrival. We hypothesized that such pre-ED assessment of potential IAT patients on an MSU improves the time from ED arrival to skin puncture time (door-to-puncture-time, DTPT). Methods- BEST-MSU is a prospective comparative effectiveness study of MSU versus standard management by emergency medical services (EMS). We compared ED DTPT among the following groups of MSU and EMS patients: all IAT patients, IAT patients post-tPA, and IAT patients post-tPA meeting thrombolytic adjudication criteria over the first 4 years of the study. Results- From August 2014 to July 2018, a total of 161 patients underwent IAT. Ninety-four patients presented to the ED via the MSU and 67 by EMS. One hundred forty patients received tPA before IAT, 85 in the MSU arm, and 55 in the EMS arm. One hundred twenty-six patients received tPA within thrombolytic adjudication criteria: 76 MSU and 50 EMS. DTPT in minutes was shorter for MSU patients (all IAT MSU versus EMS 89 versus 99, P=0.01; IAT post-tPA MSU versus EMS 93 versus 100, P=0.03; and IAT post-tPA within adjudicated criteria MSU versus EMS 93 versus 99.5, P=0.03). From 2014 to 2018, DTPT decreased at a faster rate for EMS compared with MSU-managed patients, improving by about an hour. Conclusions- Pre-ED IAT evaluation on an MSU results in faster DTPT compared with arrival by EMS. Since 2014, dramatic improvement in ED IAT metrics has attenuated this difference. However, DTPT in all groups indicates substantial room for improvement.

How we use hospice: Hospice enrollment patterns and costs in elderly ovarian cancer patients.

OBJECTIVE: To describe disparities in patterns of hospice use and end-of-life costs among ovarian cancer patients. METHODS: Using Texas Cancer Registry-Medicare data, ovarian cancer patients deceased 2005-2012 with >12 months of continuous Medicare coverage before death were included. Descriptive statistics and multivariable logistic regressions were used to evaluate patterns of hospice use. Cost and resource utilization was obtained from Medicare claims and analyzed using a non-parametric Mann-Whitney test. RESULTS: 2331 patients were assessed: 1788 (77%) white, 359 (15%) Hispanic, 158 (7%) black and 26 (1%) other. 1756 (75%) enrolled in hospice prior to death but only 1580 (68%) died with hospice. 176 (10%) of 1756 patients unenrolled and died without hospice. 346 (20%) unenrolled from hospice multiple times. From 2008 to 2012, patients were less likely to unenroll from hospice prior to death. Black patients were more likely to unenroll from hospice prior to death (OR 2.07 [1.15-3.73]; p = 0.02) compared to white patients. The median amount paid by Medicare during the last six months of life was $38,530 for those in hospice compared to $49,942 if never enrolled in hospice (p < 0.0001) and was higher for black and Hispanic patients compared to white patients. 30% hospice unenrolled patients and 40% multiply enrolled hospice patients received at least one life extending or invasive care procedure following unenrollment from hospice. CONCLUSION: Recently, more patients remain enrolled in hospice, but black patients have a higher risk of unenrollment. Hospice enrollment was associated with lower costs as long as a patient did not unenroll from hospice.

Outcomes, care utilization, and expenditures in adolescent pregnancy complicated by diabetes.

BACKGROUND AND OBJECTIVE: Adolescence and pregestational diabetes separately increase risks of adverse pregnancy outcomes, but little is known about their combined effect. To analyze pregnancy outcomes, healthcare utilization, and expenditures in adolescent pregnancies with and without pregestational diabetes using a national claims database. METHODS: Retrospective study using Truven Health MarketScan Commercial Claims and Encounters Database, 2011 to 2015. Females 12 to 19 years old, continuously enrolled for at least 12 months before a livebirth until 2 months after, were included. Pregestational diabetes, diabetes complications (ketoacidosis, retinopathy, neuropathy, nephropathy), comorbidities, and pregnancy outcomes (preeclampsia, preterm delivery, high birthweight, cesarean delivery) were identified using claims data algorithms. Healthcare utilization and payer expenditure were tabulated per enrollee. Multivariate logistic regressions assessed pregnancy outcomes; multivariate OLS regression assessed payer expenditures. RESULTS: About 33 502 adolescents were included. Adolescents without diabetes had pregnancy outcomes consistent with national estimates. Adolescents with uncomplicated diabetes had increased odds of preeclampsia adjusted odds ratios 2.41 (95% confidence interval 1.93-3.02), preterm delivery 1.50 (1.21-1.87), high birthweight 1.84 (1.50-2.27), and cesarean delivery 1.81 (1.52-2.15). Diabetes with ketoacidosis and/or end-organ damage had higher odds of preeclampsia 5.62 (2.77-11.41), preterm delivery 5.81 (3.00-11.25), high birthweight 2.38 (1.08-5.24), and cesarean delivery 3.43 (1.78-6.64). Adolescents with diabetes utilized significantly more outpatient and inpatient care during pregnancy. Payer expenditures increased by 45.3% (34.8-55.9%) among adolescents with diabetes and by 82.6% (49.1-116.0%) among adolescents with diabetes complicated by ketoacidosis and/or end-organ damage. CONCLUSION: Compared with normal adolescent pregnancies, pregestational diabetes significantly increases risks of adverse pregnancy outcomes and significantly escalates healthcare utilization and cost.

Time to Decision and Treatment With tPA (Tissue-Type Plasminogen Activator) Using Telemedicine Versus an Onboard Neurologist on a Mobile Stroke Unit.

BACKGROUND AND PURPOSE: Mobile stroke units (MSUs) can speed treatment with intravenous tPA (tissue-type plasminogen activator). We previously showed substantial agreement between a telemedicine-based vascular neurologist (TM-VN) and an onboard vascular neurologist (OB-VN) for the evaluation of patients with stroke for tPA eligibility on an MSU. However, the time efficiency of the telemedicine-based evaluation remained uncertain. In this study, we examined the speed of decision and treatment from MSU arrival for the TM-VN compared with an OB-VN. METHODS: In 50 consecutive situations, the TM-VN served as the primary decision maker. Times from MSU arrival to tPA decision and tPA bolus were compared with the same metrics for when the OB-VN served as the primary decision maker. RESULTS: Time to tPA decision for the TM-VN was 21 minutes (interquartile range, 16.25-26) versus 18 minutes (interquartile range, 14-22) for the OB-VN (P=0.01). Initiation of tPA bolus was 24 minutes (interquartile range, 19.75-30) for the TM-VN versus 24 minutes (interquartile range, 19-27.75) for the OB-VN (P=0.5). CONCLUSIONS: Assessment by a TM-VN is comparable with an OB-VN in making decisions about tPA administration on an MSU and does not lead to treatment delays. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02190500.

Association between financial burden and adjuvant hormonal therapy adherence and persistent use for privately insured women aged 18-64 years in BCBS of Texas.

PURPOSE: The objective of this study is to understand an impact of financial burden on the adjuvant hormonal therapy (AHT) adherence and persistence for insured women aged 18-64 with early breast cancer in Texas. METHODS: We conducted a retrospective cohort study using claims data for population insured by Blue Cross Blue Shield of Texas from the year 2008 to 2013. Outcomes include adherence to adjuvant hormonal therapy, which was measured by medication possession ratio and persistence on AHT, which is the duration of time from initiation to discontinuation of therapy. Multivariate logistic regression models with repeated regional-level adjustments were used to explore the odds of AHT adherence. Cox proportional hazards model was conducted to assess time to the first 90+-day gap for persistence and a Kaplan-Meier curve were used to estimate probabilities to calculate the percentages of women who experienced 90+-day gaps in AHT. RESULTS: Of the 938 women in the cohort, 627 (66.8%) initiated the treatment. By year 1, 66.9% of women were adherent to the therapy, and by year 5, only 29% of those were adherent. The percentage of women with no gap in therapy greater than 90 days was 80.8%. Both higher out-of-pocket costs spent on all prescription drugs except AHT and AHT-specific out-of-pocket costs were negatively associated with adherence to AHT as well as continuing AHT as recommended. CONCLUSIONS: Financial burdens including both non-AHT medication and AHT-specific out-of-pocket costs were significantly associated with adherence and persistence to the therapy.