Longitudinal impact of a poverty simulation on healthcare practitioners' attitudes towards poverty.

BACKGROUND: Many clinicians have limited knowledge about the challenges of living in poverty, leading to stigma and differential treatment in healthcare settings. A poverty simulation event may help clinicians gain empathy and knowledge about the ways that poverty impacts health and well-being. PURPOSE: This study evaluated the impact of a poverty simulation and the effect of personal characteristics on clinicians' attitudes towards poverty. METHODS: Using a prospective longitudinal mixed-methods study design, a convenience sampling of clinicians from a freestanding children's hospital was recruited to participate in a poverty simulation event. The 21-item Attitudes Towards Poverty (ATP) tool was administered pre- and post-simulation and at 3 follow-up time points. Multiple linear regression analysis and linear mixed effects models were used to analyze ATP data. Qualitative data were analyzed to identify broad themes. RESULTS: Mean scores in the ATP domains of stigma and structural perspective increased post-simulation, but only stigma scores demonstrated sustained improvement. Scores in the personal deficiency domain remained unchanged. Being male, White, and having Liberal political views were associated with lower ATP scores in our data. Qualitative data show participants felt the simulation generated feelings of compassion and empathy. DISCUSSION: Simulation participation improved ATP scores in two domains immediately post-event, suggesting the simulation positively impacted clinicians' attitudes towards poverty. Follow-up data suggest the impact of the simulation may be temporary. TRANSLATION TO HEALTH EDUCATION PRACTICE: Experiential learning activities, like poverty simulations, help foster awareness and empathy among clinicians but may not have long-term impact. Ongoing education is needed to create a workforce sensitized and equipped to care for families from all backgrounds.

Development of population-level colon cancer pathway concordance measures and association with survival.

Clinical cancer pathways help standardize healthcare delivery to optimize patient outcomes and health system costs. However, population-level measurement of concordance between standardized pathways and actual care received is lacking. Two measures of pathway concordance were developed for a simplified colon cancer pathway map for Stage II-III colon cancer patients in Ontario, Canada: a cumulative count of concordant events (CCCE) and the Levenshtein algorithm. Associations of concordance with patient survival were estimated using Cox proportional hazards models adjusted for patient characteristics and time-dependent cancer-related activities. Models were compared and the impact of including concordance scores was quantified using the likelihood ratio chi-squared test. The ability of the measures to discriminate between survivors and decedents was compared using the C-index. Normalized concordance scores were significantly associated with patient survival in models for cancer stage-a 10% increase in concordance for Stage II patients resulted in a CCCE score adjusted hazard ratio (aHR) of death of 0.93, 95% CI 0.88-0.98 and a Levenshtein score aHR of 0.64, 95% CI 0.60-0.67. A similar relationship was found for Stage III patients-a 10% increase in concordance resulted in a CCCE aHR of 0.85, 95% CI 0.81-0.88 and a Levenshtein aHR of 0.78, 95% CI, 0.74-0.81. Pathway concordance can be used as a tool for health systems to monitor deviations from established clinical pathways. The Levenshtein score better characterized differences between actual care and clinical pathways in a population, was more strongly associated with survival and demonstrated better patient discrimination.

Cerebral oxygen saturation and cerebrovascular instability in newborn infants with congenital heart disease compared to healthy controls.

OBJECTIVE: Infants with Congenital Heart Disease (CHD) are at risk for developmental delays, though the mechanisms of brain injury that impair development are unknown. Potential causes could include cerebral hypoxia and cerebrovascular instability. We hypothesized that we would detect significantly reduced cerebral oxygen saturation and greater cerebrovascular instability in CHD infants compared to the healthy controls. METHODS: We performed a secondary analysis on a sample of 43 term infants (28 CHD, 15 healthy controls) that assessed prospectively in temporal cross-section before or at 12 days of age. CHD infants were assessed prior to open-heart surgery. Cerebral oxygen saturation levels were estimated using Near-Infrared Spectroscopy, and cerebrovascular stability was assessed with the response of cerebral oxygen saturation after a postural change (supine to sitting). RESULTS: Cerebral oxygen saturation was 9 points lower in CHD than control infants in both postures (ß = -9.3; 95%CI = -17.68, -1.00; p = 0.028), even after controlling for differences in peripheral oxygen saturation. Cerebrovascular stability was significantly impaired in CHD compared to healthy infants (ß = -2.4; 95%CI = -4.12, -.61; p = 0.008), and in CHD infants with single ventricle compared with biventricular defects (ß = -1.5; 95%CI = -2.95, -0.05; p = 0.04). CONCLUSION: CHD infants had cerebral hypoxia and decreased cerebral oxygen saturation values following a postural change, suggesting cerebrovascular instability. Future longitudinal studies should assess the associations of cerebral hypoxia and cerebrovascular instability with long-term neurodevelopmental outcomes in CHD infants.

The Impact of Chest Binding in Transgender and Gender Diverse Youth and Young Adults.

PURPOSE: There is a sparsity of information on chest binding practices among transmasculine and gender diverse people regardless of age and even less information pertaining to adolescents and young adults (AYA). The purpose of this study was to understand binding trends in AYA and to recognize how chest binding impacts chest dysphoria and life satisfaction. METHODS: Data were collected from eligible participants via a national online survey. In this national, cross-sectional study, 684 surveys from AYA aged 13-24 years compared those who bind and those who do not bind. RESULTS: Most participants reported learning to bind online and were not connected to any type of gender care or community center. Participants in the binding cohort reported less "misgendering" than the nonbinding cohort, and there was a significant correlation between increased chest dysphoria and lower scores on life satisfaction. CONCLUSIONS: This study provides insight into how AYA obtain information about binding and how binding impacts their life. It also indicates that transmasculine and gender diverse AYA will continue to bind their chest to benefit from the protective factors experienced with chest binding. This study also highlights the importance of improved education for medical providers as well as parents/guardians regarding binding to support those who experience chest dysphoria or discomfort.

Forecasting Ontario Oncology Drug Expenditures: A Hybrid Approach to Improving Accuracy.

BACKGROUND: The Provincial Drug Reimbursement Program (PDRP) at Cancer Care Ontario (CCO) is responsible for monitoring actual and projected outpatient intravenous cancer drug spending in the province. We developed a hybrid forecasting approach combining automated time-series forecasting with expert-customizable input. OBJECTIVE: Our objectives were to provide a flexible tool in which to incorporate multiple forecasts and to improve the accuracy of the resulting forecast. METHODS: The approach employed linear and non-linear time-series techniques and a combined hybrid model incorporating both approaches. We developed an interactive tool that incorporated the statistical models and identified the best performing forecast according to standard goodness-of-fit measures. Model selection procedures considered both the amount of historical expenditure data available per drug policy and the individual policy contributions to the overall budget. The user was allowed to customize forecasts based on knowledge of external factors related to policy or price changes and new drugs that come to market RESULTS: A comparison of 2016/17 fiscal year expenditures showed that all policies with a significant contribution to the overall budget were forecast with < 4% error. Forecasting error was reduced by at least $Can5 million for the nine most expensive policies compared with expert opinion. This approach to drug budget forecasting was implemented in Ontario for the first time in the 2017/18 fiscal year, where 1% error was observed for the overall budget, corresponding to an overestimate of expenditures by $Can3.0 million. CONCLUSION: We introduced a pragmatic approach for regular forecasting by budget holders in Ontario. Our approach to isolating 'big budget' from 'small budget' drugs using an 80-20 rule and providing multiple forecasts depending on the length of the drug expenditure histories is transferable to other jurisdictions.