The impact of different imputation methods on estimates and model performance: an example using a risk prediction model for premature mortality.

Objective: To compare how different imputation methods affect the estimates and performance of a prediction model for premature mortality.

Study Design And Setting: Sex-specific Weibull accelerated failure time survival models were run on four separate datasets using complete case, mode, single and multiple imputation to impute missing values. Six performance measures were compared to access predictive accuracy (Nagelkerke R, integrated brier score), discrimination (Harrell's c-index, discrimination slope) and calibration (calibration in the large, calibration slope).

A study protocol for a predictive model to assess population-based avoidable hospitalization risk: Avoidable Hospitalization Population Risk Prediction Tool (AvHPoRT).

Introduction: Avoidable hospitalizations are considered preventable given effective and timely primary care management and are an important indicator of health system performance. The ability to predict avoidable hospitalizations at the population level represents a significant advantage for health system decision-makers that could facilitate proactive intervention for ambulatory care-sensitive conditions (ACSCs). The aim of this study is to develop and validate the Avoidable Hospitalization Population Risk Tool (AvHPoRT) that will predict the 5-year risk of first avoidable hospitalization for seven ACSCs using self-reported, routinely collected population health survey data.

Towards a community-driven definition of community wellbeing: A qualitative study of residents.

Background: Understanding what promotes or hinders a community's capacity to serve the priorities of its residents is essential for the alignment of citizen needs and governance. Participatory approaches that engage community residents on the topic of community wellbeing are useful methods for defining outcomes that reflect a community's goals and priorities. Using qualitative focus group methods, the aim of this study was to outline bottom-up definitions of community wellbeing from a diverse pool of community residents in Ontario, Canada.

Financial toxicity among adolescent and young adult cancer survivors: A systematic review of educational attainment, employment, and income.

Purpose: To identify, evaluate and summarize the evidence on educational attainment, employment status and income of AYAs surviving cancer.

Methods: A search of six databases for articles published between 01/01/2010 and 03/31/2022 was performed. Articles with an AYA survivorship population, quantitative design and a cancer-free comparator group were included.

The association between prenatal greenspace exposure and Autism spectrum disorder, and the potentially mediating role of air pollution reduction: A population-based birth cohort study.

Background: Autism spectrum disorder (ASD) incidence has increased in past decades. ASD etiology remains inconclusive, but research suggests genetic, epigenetic, and environmental contributing factors and likely prenatal origins. Few studies have examined modifiable environmental risk factors for ASD, and far fewer have examined protective exposures.

Association of Prenatal Exposure to Air Pollution With Autism Spectrum Disorder.

Importance: The etiology of autism spectrum disorder (ASD) is poorly understood, but prior studies suggest associations with airborne pollutants.

Objective: To evaluate the association between prenatal exposures to airborne pollutants and ASD in a large population-based cohort.

Design, Setting, And Participants: This population-based cohort encompassed nearly all births in Metro Vancouver, British Columbia, Canada, from 2004 through 2009, with follow-up through 2014.