Thirty years since the removal of lead from gasoline, lead still poses a health risk. Children are most at-risk for adverse health outcomes caused by lead toxicity due to both behavioural (e.g., hand-to-mouth behaviour) and physiological differences (i.e., increased intake of lead by body weight, higher uptake rate and a higher vulnerability to the effects of lead) compared to adults (Yeoh et al., 2009). As a result, governments must identify children that may be at-risk of lead poisoning and develop practical methods to mitigate lead exposure. Before a government can develop a policy to help mitigate exposure of lead for children, we need to understand the spatial distribution of lead within the city. A popular spatial model used within air pollution research may allow more accurate, and more localized predictions than the most common interpolation method, kriging. Land use regression (LUR) is a technique leveraging multiple predictor variables to help estimate the spatial distribution of the dependent variable. By using historical sources of lead, LUR can be used to model soil lead levels (SLL) with localized variation. Unfortunately, spurious relationships can be the basis of a LUR model, which may lead to an overfitted spatial model resulting in a model with little generalizability and questionable ability to estimate the dependent variable at unobserved locations. Ultimately, Empirical Bayesian Kriging may be the best option for soil contamination research due to its ability to provide a smoothed prediction surface and its dependence on the spatial structure of the data to provide estimations. The benefit to society and the return on investment (ROI) is often the justification for lead remediation. Gould (2009) estimates a $17 to $221 ROI for every dollar spent on lead hazard control. One of the main components of this estimate of ROI comes from the decrease in intelligence quotient (IQ) that a child may experience as a consequence of lead toxicity. There are three main ways that a decrease in IQ can negatively impact the economy, (i) lower potential lifetime earnings, (ii) reduced tax revenues, and (iii) higher spending on special education (Gould, 2009). Since IQ has such a significant role in the ROI estimates, chapter 3 seeks to achieve a greater understanding of the relationship between blood lead levels (BLLs) and IQ. The loss of IQ points for an increase in blood lead concentration proposed by Lanphear et al. (2005) and referenced by Gould (2009) is significantly higher than what we found in our meta-analysis. Thus, the projected ROI proposed by Gould (2009) may be much lower than previously calculated. In the final chapter, the cost associated with permanent lead abatement is investigated based on ROI projections as a case study in Hamilton, Ontario. We show that, in most cases, permanent lead remediation is far too expensive for a municipal government. Furthermore, the capital initially invested may not be distributed back into the local economy, as the ROI suggests. We suggest that municipal governments make decisions based on need, rather than basing remediation decisions on ROI projections. Furthermore, we recommend the use of hazard quotient maps to help justify lead remediation as a more accurate representation of potential lead toxicity, instead of only looking at SLL exceedances across the city. / Dissertation / Doctor of Philosophy (PhD)

This dissertation examines methods used to evaluate the cost-effectiveness of childhood obesity interventions in order to help decision-makers prioritize among competing health programs using standardized outcomes. Chapter 1 generates inputs for use in cost-effectiveness analyses (CEAs) of childhood obesity interventions. In Chapter 1.1, I use data from the Medical Expenditure Panel Survey to predict expenditures associated with obesity in childhood and adolescence. I found that obese children and adolescents have significantly different expenditures than their normal weight counterparts. I conclude that exclusion of obesity-related medical expenditures can potentially undervalue the cost-effectiveness of interventions. In Chapter 1.2, I use data from the Study of Early Child Care and Youth Development to examine the longitudinal trajectory of child weight. I derived probabilities of transitioning between weight classes that can be used in a decision-analytic model to extrapolate the effectiveness of childhood obesity interventions beyond childhood. I found that deviating from CDC BMI reference categories can more accurately capture the risk of future obesity. In Chapter 2, I evaluate the cost-effectiveness of a primary care-based obesity prevention program, High Five for Kids. Over two years, High Five for Kids was low-cost, but only marginally effective in reducing BMI. I used a decision analytic simulation model to extrapolate trial outcomes over a 10-year horizon, and found that in the long-term, primary care based obesity prevention was likely to be cost-effective relative to usual care. I also found that key methodological considerations can meaningfully influence the cost-effectiveness of childhood obesity interventions. In Chapter 3, I develop an agent-based model to explore the dynamics of the potential spread of obesity within families. I found that the “contagion” of obesity could result in significant collateral weight loss in family members not targeted in an intervention. As a result, CEAs may underestimate the benefits of obesity interventions. Moreover, I found that unless interventions are targeted toward all obese children in a family, the contagion of obesity can hinder weight loss in intervention targets. This model can be leveraged as a tool to optimize family-based obesity intervention strategies and inform randomized controlled obesity prevention trials.

No description available.

Background: Long QT syndrome (LQTS) is a cardiac condition which predisposes individuals to syncope, seizures, and sudden cardiac death. There is a high prevalence of congenital LQTS in a First Nations community in Northern British Columbia due to the founder variant p.V205M in the KCNQ1 gene. Additionally, two other variants of interest are present in this population: the KCNQ1 p.L353L variant, previously noted to modify the phenotype of LQTS in adults, and the CPT1A p.P479L variant, a metabolic variant common in Northern Indigenous populations associated with hypoglycemia and sudden unexpected infant death. Methods: We performed a mixed methods study to better understand the impact of LQTS in children and youth in this First Nations community. To learn about the clinical impact of LQTS, and better understand the effects of the KCNQ1 and CPT1A variants in children, we used statistical analysis to compare the cardiac phenotypes of 211 First Nations children with and without the p.V205M, p.L353L and p.P479L variants, alone and in combination. Ordinary Least Squares linear regression was used to compare the highest peak corrected QT interval (QTc). The peak QTc is an electrocardiogram measurement used in risk stratification of LQTS patients. Logistic regression was used to compare the rates of syncope and seizures experienced in childhood. Additionally, to learn about the lived-experience of LQTS, we interviewed one young First Nations adult about her experiences growing up with LQTS as a teenager. From this interview, we conducted a qualitative case study analysis using Interpretative Phenomenological Analysis. All research was done in partnership with the First Nations community using community-based participatory methods. Results: We found that the p.V205M variant conferred a 22.4ms increase in peak QTc (p<0.001). No other variants or variant interaction effects were observed to have a significant impact on peak QTc. No association between the p.V205M variant and loss of consciousness (LOC) events (syncope and seizures) was observed (OR(95%CI)=1.3(0.6-2.8); p=0.531). However, children homozygous for p.P479L were found to experience 3.3 times more LOC events compared to non-carriers (OR=3.3(1.3-8.3); p=0.011). With regard to the qualitative portion of the thesis, four superordinate (main) themes emerged from the case study: Daily life with Long QT Syndrome, Interactions with Medical Professionals, Finding Reassurance, and The In-Between Age. We found that even though our participant was asymptomatic and felt that she was not impacted by LQTS in her daily life, she considered certain elements of the condition to be stressful, such as taking a daily beta-blocker. Conclusion: These results suggest that while the KCNQ1 p.V205M variant is observed to significantly prolong the peak QTc, the CPT1A p.P479L variant is more strongly associated with LOC events in children from this community. More research is needed to further determine the effect of these variants; however, our preliminary findings suggest management strategies, such as whether beta-blockers are indicated for p.V205M carriers, may need to be reassessed. The importance of developing a holistic, well-balanced approach to medical care, taking into consideration the personal perspectives and unique medical circumstances of each child is exemplified in this study. / Graduate

Effektiv kommunikation mellan vårdens medarbetare är väsentlig för patientsäker vård. Bristfällig kommunikation är kopplad till vårdskador. På den slutenvårdsavdelning i södra Sverige, där både aktuellt förbättringsarbete och studie genomfördes, saknades ett strukturerat arbetssätt för utbyte av viktig information kring barn och ungdomars vård inom ett team av nattarbetare. Därför startades ett förbättringsarbete vilket sedan undersöktes genom en intervjustudie. Genom att införa samling av berörda medarbetare vid varje ny patientinläggning, och tidsbestämda avstämningar som gjordes med ett kommunikationsverktyg, TEAMUP-modellen (T-trust, E-explore, A-ambition, M-model, U-undertake, P-praise) syftade förbättringsarbetet till at etablera en arbetsstruktur som möjliggör effektiv kommunikation i teamet för att minska förekomst av vårdskador samt förbättra arbetsklimatet. Förbättringsarbetet genomfördes med stöd av Nolans modell tillsammans med PDSA- cyklar (P-Plan, D-Do, S-Study, A-Act), fiskbendiagram, förbättringsramen samt värdekompass. I förbättringsarbetet deltog cirka arton nattpersonal och tio vårdnadshavare/barn &gt;15 år. Data samlades in genom enkäter och visualiserades med figurer. Enkätsvaren visade att de nya arbetssätten har möjliggjort strukturerad kommunikation för inforamtionsbyte i teamet kring barn och ungdomars vård och behandlingar. Bland vårdnadshavare/ barn &gt;15 år visade enkätsvaren 100% nöjdhet beträffande kommunikation i teamet kring patienters vård och behandlingar. Av personalen angav 87% att arbetsklimatet förbättrades till föjld av de nya arbetssätten.  En kvalitativ intervjustudie gjordes när förbättringsarbetet avslutades med syfte till att undersöka hur personalen uppfattar att TEAMUP -modellen och samling vid patientinläggning har påverkat deras interna samarbete med avseende på kommunikation i teamet. En semistrukturerad intervjuguide anvvändes. Åtta medarbetare i nattpersonalgruppen medverkade i intervjuer. Data analyserades genom kvalitativ innehållsanalys. De intervjude medarbetarna beskrev att kommunikation och samarbete i teamet förbättrades. Med hjälp av de nya arbetssätten kunde personalen skapa en kultur som innebar att hjälpa varandra mer då de informerade varandra om viktiga förhållanden gällande patienter, avdelningsresurser, diagnoser och missnöje.

No description available.

The determinants of health care use among rural, low-income mothers and their children were assessed using a multi-state, longitudinal data set, Rural Families Speak. The results indicate that rural mothers’ decisions regarding health care utilization for themselves and for their child can be best modeled using a simultaneous systems approach to negative binomial regression. Mothers’ visits to a health care provider increased with higher self-assessed depression scores, increased number of child’s doctor visits, greater numbers of total children in the household, greater numbers of chronic conditions, need for prenatal or post-partum care, development of a new medical condition, and having health insurance (Medicaid/equivalent and HMO/private). Child’s visits to a health care provider, on the other hand, increased with greater numbers of chronic conditions, development of a new medical condition, and increased mothers’ visits to a doctor. Child’s utilization of pediatric health care services decreased with higher levels of maternal depression, greater numbers of total children in the household, if the mother had HMO/private health care coverage, if the mother was pregnant, and if the mother was Latina/African American. Mother’s use of health care services decreased with her age, increased number of child’s chronic conditions, income as a percent of the federal poverty line, and if child had HMO/private health care insurance. The study expands the econometric techniques available for assessing maternal and pediatric health care use and the results contribute to an understanding of how rural, low-income mothers choose the level of health care services use for themselves and for their child. Additionally, the results would assist in formulating policies to reorient the type of health care services provided to this vulnerable population.