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 R2, integrated brier score), discrimination (Harrell's c-index, discrimination slope) and calibration (calibration in the large, calibration slope). RESULTS: The highest proportion of missingness for a single variable was 10.86% for the female model and 8.24% for the male model. Comparing the performance measures for complete case, mode, single and multiple imputation: the Nagelkerke R2 values for the female model was 0.1084, 0.1116, 0.1120 and 0.111-0.1120 with the male model exhibited similar variation of 0.1050, 0.1078, 0.1078 and 0.1078-0.1081. Harrell's c-index also demonstrated small variation with values of 0.8666, 0.8719, 0.8719 and 0.8711-0.8719 for the female model and 0.8549, 0.8548, 0.8550 and 0.8550-0.8553 for the male model. CONCLUSION: In the scenarios examined in this study, mode imputation performed well when using a population health survey compared to single and multiple imputation when predictive performance measures is the main model goal. To generate unbiased hazard ratios, multiple imputation methods were superior. This study shows the need to consider the best imputation approach for a predictive model development given the conditions of missing data and the goals of the analysis.

Human factors methods in the design of digital decision support systems for population health: a scoping review.

BACKGROUND: While Human Factors (HF) methods have been applied to the design of decision support systems (DSS) to aid clinical decision-making, the role of HF to improve decision-support for population health outcomes is less understood. We sought to comprehensively understand how HF methods have been used in designing digital population health DSS. MATERIALS AND METHODS: We searched English documents published in health sciences and engineering databases (Medline, Embase, PsychINFO, Scopus, Comendex, Inspec, IEEE Xplore) between January 1990 and September 2023 describing the development, validation or application of HF principles to decision support tools in population health. RESULTS: We identified 21,581 unique records and included 153 studies for data extraction and synthesis. We included research articles that had a target end-user in population health and that used HF. HF methods were applied throughout the design lifecycle. Users were engaged early in the design lifecycle in the needs assessment and requirements gathering phase and design and prototyping phase with qualitative methods such as interviews. In later stages in the lifecycle, during user testing and evaluation, and post deployment evaluation, quantitative methods were more frequently used. However, only three studies used an experimental framework or conducted A/B testing. CONCLUSIONS: While HF have been applied in a variety of contexts in the design of data-driven DSSs for population health, few have used Human Factors to its full potential. We offer recommendations for how HF can be leveraged throughout the design lifecycle. Most crucially, system designers should engage with users early on and throughout the design process. Our findings can support stakeholders to further empower public health systems.

"Whatever journey you want to take, I'll support you through": a mixed methods evaluation of a peer worker program in the hospital emergency department.

BACKGROUND: People who are unhoused, use substances (drugs and/or alcohol), and who have mental health conditions experience barriers to care access and are frequently confronted with discrimination and stigma in health care settings. The role of Peer Workers in addressing these gaps in a hospital-based context is not well characterized. The aim of this evaluation was to 1) outline the role of Peer Workers in the care of a marginalized populations in the emergency department; 2) characterize the impact of Peer Workers on patient care, and 3) to describe how being employed as a Peer Worker impacts the Peer. METHODS: Through a concurrent mixed methods evaluation, we explore the role of Peer Workers in the care of marginalized populations in the emergency department at two urban hospitals in Toronto, Ontario Canada. We describe the demographic characteristics of patients (n = 555) and the type of supports provided to patients collected through a survey between February and June 2022. Semi-structured, in-depth interviews were completed with Peer Workers (n = 7). Interviews were thematically analyzed using a deductive approach, complemented by an inductive approach to allow new themes to emerge from the data. RESULTS: Support provided to patients primarily consisted of friendly conversations (91.4%), discharge planning (59.6%), tactics to help the patient navigate their emotions/mental wellbeing (57.8%) and sharing their lived experience (50.1%). In over one third (38.9%) of all patient interactions, Peer Workers shared new information about the patient with the health care team (e.g., obtaining patient identification). Five major themes emerged from our interviews with Peer Workers which include: (1) Establishing empathy and building trust between the patient and their care team through self-disclosure; (2) Facilitating a person-centered approach to patient care through trauma-informed listening and accessible language; (3) Support for patient preferences on harm reduction; (4) Peer worker role facilitating self-acceptance and self-defined recovery; and (5) Importance of supports and resources to help Peer Workers navigate the emotional intensity of the emergency department. CONCLUSIONS: The findings add to the literature on Peer Worker programs and how such interventions are designed to best meet the needs of marginalized populations.

Modelling population-level and targeted interventions of weight loss on chronic disease prevention in the Canadian population.

Obesity is a known risk factor for major chronic diseases. Prevention of chronic disease is a top global priority. The study aimed to model scenarios of population-level and targeted weight loss interventions on 10-year projected risk of chronic disease in Canada using a population-level risk prediction algorithm. The validated Chronic Disease Population Risk Tool (CDPoRT) forecasts 10-year risk of chronic disease in the adult population. We applied CDPoRT to the 2013/14 Canadian Community Health Survey to generate prospective chronic disease estimates for adults 20 years and older in Canada (n = 83,220). CDPoRT was used to model the following scenarios: British Columbia's (BC) and Quebec's (QC) provincial population-level weight reduction targets, a population-level intervention that could achieve weight loss, targeted weight loss interventions for overweight and obese groups, and the combination of a population-level and targeted weight loss intervention. We estimated chronic disease risk reductions and number of cases prevented in each scenario compared with the baseline. At baseline, we predicted an 18.4% risk and 4,151,929 new cases of chronic disease in Canada over the 10-year period. Provincial weight loss targets applied to the Canadian population estimated chronic disease reductions of 0.6% (BC) and 0.1% (QC). The population-level intervention estimated a greater reduction in risk (0.2%), compared to the targeted interventions (0.1%). The combined approach estimated a 0.3% reduction in chronic disease risk. Our modelling predicted that population-level approaches that achieve weight loss in combination with targeted weight loss interventions can substantially decrease the chronic disease burden in Canada.

Can the Healthcare System Improve Food Security? A Need for Collaborative Community Partnerships.

The COVID-19 pandemic has heightened the food insecurity crisis in Canada, and existing supports have been largely insufficient to meet the food needs of communities. In response to increasing reports of food insecurity among Toronto residents during the pandemic, the Food RX program was developed as a collaborative initiative between FoodShare Toronto - a local, community-based food justice organization - and the University Health Network, a large university-affiliated hospital network in downtown Toronto, ON. This commentary describes the Food RX program, highlights the lessons learned during its early implementation and offers a set of recommendations for building community partnerships moving forward.

Perceived addiction to vaping among youth and young adult regular vapers.

BACKGROUND: The prevalence of e-cigarette use among youth and young adults has increased markedly in recent years; however, little is known about young people's perceptions of e-cigarette addiction. This study examines factors associated with self-reported addiction to e-cigarette use among this population. METHODS: In 2018, 1048 Canadians aged 16-25 years were recruited through online social media platforms to complete a survey. Quota sampling was used to oversample regular e-cigarette users (vaping at least weekly); these 578 regular users were included in this analysis. Self-perceived addiction was assessed by asking participants if they felt they were 'very', 'somewhat' or 'not at all' addicted to e-cigarettes. A proportional odds model was employed to identify factors associated with the ordinal outcome. RESULTS: Almost half of regular users perceived themselves to be 'not at all addicted', 41% felt they were 'somewhat addicted' and 13% felt they were very addicted to e-cigarettes. Women, former cigarette smokers, daily vapers and those vaping for more than a year were more likely to report higher levels of perceived addiction. Similarly, high sensation-seeking youth, those reading blogs and websites about vaping, those frequently dripping and those using higher nicotine strengths had a greater likelihood of higher perceived addiction than their respective counterparts. CONCLUSION: More than half of youth and young adult regular e-cigarette users felt they had some level of addiction. The findings identify possible opportunities for targeted programming for education and treatment, as well as potential opportunities for policy change such as maximum allowable nicotine strengths.

Real-World Effectiveness of Pharmaceutical Smoking Cessation Aids: Time-Varying Effects.

BACKGROUND: There are a limited number of studies that have examined the real-world effectiveness of smoking cessation aids and relapse longitudinally in population-representative samples. This study examines the association between use of nicotine gum, patch, bupropion, and varenicline and time to relapse as well as any changes in the association with increased length of abstinence. METHODS: Data of 1821 current adult smokers (18+) making their first serious quit attempt were compiled from 4504 individuals enrolled in the Ontario Tobacco Survey, a representative telephone survey of Ontario adults, which followed smokers every 6 months for up to 3 years. Use of cessation aids at the time of initial report of a quit attempt was analyzed. A flexible parametric survival model was developed to model length of abstinence, controlling for potential confounders. RESULTS: The best fit model found knots at 3, 13, 43, and 212 days abstinent, suggesting different rates of relapse in the periods marked by those days. Use of the patch and varenicline was associated with lower rates of relapse, but no positive effect was found for bupropion or nicotine gum. The effectiveness of the patch reversed in effect after the first month of abstinence. CONCLUSIONS: This study is one of few reports of long-term quitting in a population-representative sample and demonstrates that the effectiveness of some pharmacological cessation aids (the patch and varenicline can be seen in a population sample). Previous failures in real-world studies of the effectiveness of smoking cessation aids may reflect differences in the products individuals use and differences in the timing of self-reported cessation. IMPLICATIONS: While a large number of randomized controlled trials have shown the efficacy of many pharmaceutical smoking cessation aids, evidence of their effectiveness in observational studies in the real world is ambiguous. This study uses a longitudinal cohort of a representative sample of smokers to show that the effectiveness of pharmaceutical cessation aids can be demonstrated in real-world use situations, but effectiveness varies by product type and has time-varying effects.

Marketing IQOS in a dark market.

INTRODUCTION: Phillip Morris International (PMI) is pushing hard to promote IQOS heat-not-burn cigarettes in Ontario, Canada. Canada regulates IQOS as a tobacco product so that the robust tobacco marketing ban creates challenges to its promotion. METHODS: We collected data on IQOS promotion in 49 retail outlets, and through interviews with clerks and observations outside an IQOS store. RESULTS: The dominant marketing channel is the visible availability of IQOS in a large number of tobacco retail outlets-1029 across Ontario. Several stores display the price of 'heated tobacco' on one of three price signs which are permitted despite Ontario's total display ban. IQOS boutique stores are the locus of aggressive promotion including exchanging a pack of cigarettes or lighter for an IQOS device, launch parties, 'meet and greet' lunches and after-hour events. Outside the store, promotion includes a prominent IQOS sign, a sandwich board sign reading 'Building a Smoke-Free Future' and sales representatives regularly smoking IQOS. Membership services: Upon acquiring an IQOS device one can register to access the IQOS website store5 and receive customer support services, a map of retail locations and a product catalogue. Members receive regular email invitations to complete surveys with opportunities to win prizes. CONCLUSIONS: These promotion activities have undoubtedly made substantial numbers of Ontarians aware of IQOS. Yet, the government has not provided guidance as to absolute and relative potential harms. Our observations of tactics to promote a new tobacco product in a dark market may inform government regulatory policy and non-governmental organisation efforts wherever heat-not-burn products are introduced.

Can Dentists Help Patients Quit Smoking? The Role of Cessation Medications.

BACKGROUND: Clinical trials show the efficacy of dentists' counseling in smoking cessation. However, little is known about the effectiveness of such advice in the general population of smokers. OBJECTIVE: To examine the association between dentists' advice, use of cessation medications and quitting behaviours in the general population of adult smokers in Ontario, Canada. METHODS: Data were from the Ontario Tobacco Survey panel study, which followed people who were smokers in July 2005 semi-annually for up to 3 years until June 2011. Baseline smokers, who were seen by a dentist during the study, were included in the analysis (n = 2714 with 7549 observations). Logistic regression analysis with generalized estimating equations was used to examine associations among dentists' advice, use of cessation medications and quitting outcomes (quit attempts and short-term quitting ≥ 30 days). RESULTS: Those who received dentists' advice were more addicted to tobacco, compared with those who did not receive dentists' advice (self-perceived addiction to tobacco: 96% vs. 89%, p < 0.001). Dentists' advice alone was not associated with making an attempt to quit smoking or short-term quitting. However, receiving dentists' advice in conjunction with cessation medications was associated with a higher likelihood of quit attempts (adjusted odds ratio [OR] 9.85, 95% confidence interval [CI] 7.77-12.47) and short-term quitting (adjusted OR 3.19, 95% CI 2.20-4.62), compared with not receiving dentists' advice and not using cessation medications. CONCLUSION: Dentists play an important role in smoking cessation, because they can encourage patients to stop smoking and promote success by advising patients to use cessation medications.

Health professional advice, use of medications and smoking cessation: A population-based prospective cohort study.

INTRODUCTION: The mediating role of cessation medications in the association between health professional advice and quitting behaviors is unclear. METHODS: Data were from the Ontario Tobacco Survey longitudinal study, collected between July 2005 and June 2011 in Ontario, Canada. The analytic sample included 3437 baseline smokers who were seen by health professionals during follow-up. Logistic regression with generalized estimating equations and mediation analysis techniques were used to examine the impact of advice and medications on quitting outcomes (making a quit attempt, short-term quitting 1-6months and long-term quitting>6months). RESULTS: Those who received advice to quit smoking were more likely to use cessation medications than those who did not receive advice (21% vs. 13%, P<0.001). Receiving advice was associated with making a quit attempt (adjusted odds ratio (OR) 1.25, 95% confidence interval (CI) 1.10-1.41) and long-term quitting (adjusted OR 1.49, 95% CI 1.10-2.02), but not with short-term quitting. Use of cessation medications was associated with making a quit attempt (adjusted OR 11.83, 95% CI 9.93-14.08), short-term quitting (adjusted OR 3.69, 95% CI 2.90-4.68), and long-term quitting (adjusted OR 2.73, 95% CI 1.95-3.82). Using prescription medications was associated with a higher likelihood of quitting short-term (adjusted OR 2.43, 95% CI 2.59-3.74) and long-term (adjusted OR 2.27, 95% CI 1.23-4.17) than using NRT. Use of cessation medications was a significant mediator in the pathway from receiving advice to quitting. CONCLUSION: Health professionals should advise smokers to quit and encourage them to use cessation medications, especially prescription medications when trying to quit.

Exposure to smoking on patios and quitting: a population representative longitudinal cohort study.

OBJECTIVES: Smoke-free policies not only reduce harm to non-smokers, they may also reduce harm to smokers by decreasing the number of cigarettes smoked and increasing the likelihood of a successful quit attempt. However, little is known about the impact of exposure to smoking on patios on smoking behaviour. DESIGN AND PARTICIPANTS: Smokers from the Ontario Tobacco Survey, a longitudinal population representative cohort of smokers (2005-2011). There were 3460 current smokers who had completed one to six follow-ups and were asked at each follow-up whether or not they had been exposed to smoking on patios in the month. MAIN OUTCOME MEASURES: Generalised estimating equations and survival analysis were used to examine the association between exposure to patio smoking and smoking behaviour changes (making a quit attempt and time to relapse after a quit attempt), controlling for potential confounders. RESULTS: Smokers who were exposed to smoking on patios (adjusted incident rate ratio (aIRR) = 0.89; 95% CI 0.81 to 0.97) or had been to a patio (aIRR = 0.86; 95% CI 0.74 to 0.99) were less likely to have made a quit attempt than smokers who had not visited a patio. Smokers who were exposed to smoking on patios were more likely to relapse (adjusted HR=2.40; 95% CI 1.07 to 5.40)) after making a quit attempt than those who visited a patio but were not exposed to smoking. CONCLUSIONS: Exposure to smoking on patios of a bar or restaurant is associated with a lower likelihood of success in a quit attempt. Instituting smoke-free patio regulations may help smokers avoid relapse after quitting.

A national cohort study of community belonging and its influence on premature mortality.

BACKGROUND: Community belonging, an important constituent of subjective well-being, is an important target for improving population health. Ageing involves transitioning across different social conditions thus, community belonging on health may vary across the life course. Using a nationally representative cohort, this study estimates the life stage-specific impact of community belonging on premature mortality. METHODS: Six cycles of the Canadian Community Health Survey (2000-2012) were combined and linked to the Canadian Vital Statistics Database (2000-2017). Respondents were followed for up to 5 years. Multivariable-adjusted modified Poisson regression models were used to estimate the relative risk of premature mortality for three life stages: early adulthood (18-35 years), middle adulthood (36-55 years) and late adulthood (56-70 years). RESULTS: The final analytical sample included 477 100 respondents. Most reported a 'somewhat strong' sense of belonging (45.9%). Compared with their 'somewhat strong' counterparts, young adults reporting a 'somewhat weak' sense of belonging exhibited an increased relative risk (RR) of 1.76 (95% CI 1.27 to 2.43) for premature mortality, whereas middle-aged adults reporting the same exhibited a decreased RR of 0.82 (95% CI 0.69, 0.98). Among older adults, groups reporting a 'very strong' (RR 1.10, 95% CI 1.01, 1.21) or a 'very weak' sense (RR 1.14, 95% CI 1.01, 1.28) of belonging exhibited higher RRs for premature mortality. CONCLUSION: The results demonstrate how community belonging relates to premature mortality differs across age groups underscoring the importance of considering life stage-specific perspectives when researching and developing approaches to strengthen belonging.

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. METHODS AND ANALYSIS: The derivation cohort will consist of respondents to the first 3 cycles (2000/01, 2003/04, 2005/06) of the Canadian Community Health Survey (CCHS) who are 18-74 years of age at survey administration and a hold-out data set will be used for external validation. Outcome information on avoidable hospitalizations for 5 years following the CCHS interview will be assessed through data linkage to the Discharge Abstract Database (1999/2000-2017/2018) for an estimated sample size of 394,600. Candidate predictor variables will include demographic characteristics, socioeconomic status, self-perceived health measures, health behaviors, chronic conditions, and area-based measures. Sex-specific algorithms will be developed using Weibull accelerated failure time survival models. The model will be validated both using split set cross-validation and external temporal validation split using cycles 2000-2006 compared to 2007-2012. We will assess measures of overall predictive performance (Nagelkerke R2), calibration (calibration plots), and discrimination (Harrell's concordance statistic). Development of the model will be informed by the Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD) statement. ETHICS AND DISSEMINATION: This study was approved by the University of Toronto Research Ethics Board. The predictive algorithm and findings from this work will be disseminated at scientific meetings and in peer-reviewed publications.

Young adult smoking cessation: predictors of quit attempts and abstinence.

We examined young adult smoking cessation behaviors, coding cessation behavior as no attempt, quit attempt (< 30 days), or abstinence (≥ 30 days) during follow-up from July 2005 through December 2008, observed in 592 young adult smokers from the Ontario Tobacco Survey. One in 4 young adults made an attempt; 14% obtained 30-day abstinence. Cessation resources, prior attempts, and intention predicted quit attempts, whereas high self-efficacy, using resources, having support, and low addiction predicted abstinence, indicating that young adult smokers require effective and appropriate cessation resources.

Association between use of contraband tobacco and smoking cessation outcomes: a population-based cohort study.

BACKGROUND: High tobacco prices, typically achieved through taxation, are an evidence-based strategy to reduce tobacco use. However, the presence of inexpensive contraband tobacco could undermine this effective intervention by providing an accessible alternative to quitting. We assessed whether the use of contraband tobacco negatively affects smoking cessation outcomes. METHODS: We evaluated data from 2786 people who smoked, aged 18 years or older, who participated in the population-based longitudinal Ontario Tobacco Survey. We analyzed associations between use of contraband tobacco and smoking cessation outcomes (attempting to quit, 30-d cessation and long-term cessation at 1 yr follow-up). RESULTS: Compared with people who smoked premium or discount cigarettes, people who reported usually smoking contraband cigarettes at baseline were heavier smokers, perceived greater addiction, identified more barriers to quitting and were more likely to have used pharmacotherapy for smoking cessation. People who smoked contraband cigarettes were less likely to report a period of 30-day cessation during the subsequent 6 months (adjusted relative risk [RR] 0.23, 95% confidence interval [CI] 0.09-0.61) and 1 year (adjusted RR 0.30, 95% CI 0.14-0.61), but they did not differ significantly from other people who smoked regarding attempts to quit (at 6 mo, adjusted RR 0.74, 95% CI 0.43-1.20) or long-term cessation (adjusted RR 0.24, 95% CI 0.04-1.34). INTERPRETATION: Smoking contraband cigarettes was negatively associated with short-term smoking cessation. Access to contraband tobacco may therefore undermine public health efforts to reduce the use of tobacco at the population level.

Transitions in smoking status over time in a population-based panel study of smokers.

INTRODUCTION: Few studies have examined the transitions of smokers in the general population through multiple periods of daily, occasional smoking, or abstinence over time. Transitions from daily to occasional smoking are particularly of interest as these may be steps toward cessation. METHODS: The Ontario Tobacco Survey panel study followed 4,355 baseline smokers, semiannually for up to 3 years. Probabilities of all possible changes in smoking status more than 6 months were estimated using 13,000 repeated measures observations generated from sets of 3 consecutive interviews (n = 9,932 daily smokers, 1,245 occasion smokers, and 1,823 abstinent for at least 30 days, at Time 1). RESULTS: For initial daily smokers, an estimated 83% remained daily smokers more than 2 follow-ups. The majority of those who had been abstinent for 30 days at 1 interview, were also former smokers at the following interview. In contrast, occasional smoking status was unstable and future smoking status was dependent upon smoking history and subjective dependence. Among daily smokers who became occasional smokers 6 months later, an estimated 20% became a former smoker, at the next interview, but 50% returned to daily smoking. Daily, turned occasional smokers who rebounded back to daily smoking were more likely to describe themselves as addicted at Time 1. Continuing occasional smokers were somewhat less likely to intend to quit, or have tried, despite considering themselves less addicted. CONCLUSIONS: Reducing to occasional smoking can be a stepping stone toward cessation but entails a greater risk of return to daily smoking, compared with complete abstinence.

Experiences and Reported Outcomes of Patients and Caregivers Enrolled in an Integrated Care Program for Thoracic Surgery: A Qualitative Evaluation.

Background: Health care delivery is often poorly coordinated and fragmented. Integrated care (IC) programs represent one solution to improving continuity of care. The aim of this study was to understand experiences and reported outcomes of patients and caregivers in an IC Program that coordinates hospital and home care for thoracic surgery. Methods: A process evaluation was undertaken using qualitative methods. We conducted semi-structured interviews with 10 patients and 8 caregivers who received IC for thoracic surgery and were discharged between June 2019 and April 2020. A phenomenological approach was used to understand and characterize patient and caregiver experiences. Thematic analysis began with a deductive approach complemented by an inductive approach. Results: Four major themes evolved from patient and caregiver interviews, including 1) coordination and timeliness of patient care facilitated by an IC lead; 2) the provision of person-centred care and relational continuity fostered feelings of partnership with patients and caregivers; 3) clear communication and one shared digital record increased informational continuity; and 4) impacts of IC on patient and caregiver outcomes. Conclusions: Patients and caregivers generally reported this IC Program met their health care needs, which may help inform how future IC programs are designed.

A retrospective population-based analysis of wait times for cataract surgery in Ontario, Canada.

BACKGROUND: Current methods used to estimate surgical wait times in Ontario may be subject to inconsistencies and inaccuracies. In this population-level study, we aimed to estimate cataract surgery wait times in Ontario using a novel, objective and data-driven method. METHODS: We identified adults who underwent cataract surgery between 2005 and 2019 in Ontario, using administrative records. Wait time 1 represented the number of days from referral to initial visit with the surgeon, and wait time 2 represented the number of days from the decision for surgery until the first eye surgery date. In the primary analysis, a ranking method prioritized referrals from optometrists, followed by ophthalmologists and family physicians. RESULTS: The cohort consisted of 1 138 532 people with mostly female patients (57.4%) and those aged 65 years and older (79.0%). In the primary analysis, the median was 67 days for wait time 1 (interquartile range [IQR] 29-147). There was a median of 77 days for wait time 2 (IQR 37-155). Overall, the following proportions of patients waited less than 3, 6 and 12 months: 54.1%, 78.5% and 91.7%, respectively. For wait time 2, the proportions of patients who waited less than 3, 6 and 12 months were 49.5%, 77.1% and 93.3%, respectively. In total, 19.3% of patients did not meet the provincial target for wait time 1, 20.5% did not meet the target for wait time 2 and 35.0% did not meet the target for wait times 1 or 2. INTERPRETATION: Administrative health services data can be used to estimate cataract surgery wait times. With this method, 35.0% of patients in 2005-2019 did not receive initial consultation or surgery within the provincial wait time target.

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. METHODS: Semi-structured, two-hour group interviews were conducted with adult (≥18 years) participants (N = 15) residing in four communities across Canada's largest province of Ontario. Participants were purposively selected from a pool of screening questionnaires to ensure diverse group compositions based on race, gender, age, and educational attainment. Interviews were thematically analysed using descriptive and interpretive methods to characterize resident conceptions of community wellbeing. RESULTS: Focus group participants were between 18 and 75 years of age and most had lived in their local community for 5 or more years. Four major themes emerged: (1) a sense of community belonging is cultivated through shared spaces, routines, support, and identities; (2) a community constitutes the amenities and social contexts that enable residents to thrive; (3) effective regional decision-making must be community-informed; and (4) the wellbeing of a community relies on equal opportunities for engagement and participation. CONCLUSIONS: Residents described their communities and their associated wellbeing as a combination of accessible amenities and opportunities to engage without marginalization. This study underscores the value of participatory approaches in community wellbeing research, where the viewpoint and life experience of residents is used to inform local decision-making and service delivery. Future research will capture more diverse perspectives towards community belonging, particularly from community newcomers, for the development of regionally appropriate indicators of community wellbeing.