Impact of COVID-19 pandemic on prescription stimulant use among children and youth: a population-based study.

COVID-19 associated public health measures and school closures exacerbated symptoms in some children and youth with attention-deficit hyperactivity disorder (ADHD). Less well understood is how the pandemic influenced patterns of prescription stimulant use. We conducted a population-based study of stimulant dispensing to children and youth ≤ 24 years old between January 1, 2013, and June 30, 2022. We used structural break analyses to identify the pandemic month(s) when changes in the dispensing of stimulants occurred. We used interrupted time series models to quantify changes in dispensing following the structural break and compare observed and expected stimulant use. Our main outcome was the change in the monthly rate of stimulant use per 100,000 children and youth. Following an initial immediate decline of 60.1 individuals per 100,000 (95% confidence interval [CI] - 99.0 to - 21.2), the monthly rate of stimulant dispensing increased by 11.8 individuals per 100,000 (95% CI 10.0-13.6), with the greatest increases in trend observed among females, individuals in the highest income neighbourhoods, and those aged 20 to 24. Observed rates were between 3.9% (95% CI 1.7-6.2%) and 36.9% (95% CI 34.3-39.5%) higher than predicted among females from June 2020 onward and between 7.1% (95% CI 4.2-10.0%) and 50.7% (95% CI 47.0-54.4%) higher than expected among individuals aged 20-24 from May 2020 onward. Additional research is needed to ascertain the appropriateness of stimulant use and to develop strategies supporting children and youth with ADHD during future periods of long-term stressors.

Impact of the COVID-19 pandemic on antidepressant and antipsychotic use among children and adolescents: a population-based study.

Background: The COVID-19 pandemic was associated with increases in the prevalence of depression, anxiety and behavioural problems among children and youth. Less well understood is the influence of the pandemic on antidepressant and antipsychotic use among children. This is important, as it is possible that antidepressants and antipsychotics were used as a "stop-gap" measure to treat mental health symptoms when in-person access to outpatient care and school-based supportive services was disrupted. Furthermore, antipsychotics and antidepressants have been associated with harm in children and youth. We examined trends in dispensing of these medications two years following the pandemic among children 18 years of age and under in Ontario, Canada. Methods: We conducted a population-based time-series study of antidepressant and antipsychotic medication dispensing to children and adolescents ≤18 years old between September 1, 2014, and March 31, 2022. We measured monthly population-adjusted rates of antidepressant and antipsychotics obtained from the IQVIA Geographic Prescription Monitor (GPM) database. We used structural break analyses to identify the pandemic month(s) when changes in the dispensing of antidepressants and antipsychotics occurred. We used interrupted time series models to quantify changes in dispensing following the structural break and compare observed and expected use of these drugs. Results: Overall, we found higher-than-expected dispensing of antidepressants and antipsychotics in children and youth. Specifically, we observed an immediate step decrease in antidepressant dispensing associated with a structural break in April 2020 (-55.8 units per 1,000 individuals; 95% confidence intervals [CI] CI: -117.4 to 5.8), followed by an increased monthly trend in the rate of antidepressant dispensing of 13.0 units per 1,000 individuals (95% CI: 10.2-15.9). Antidepressant dispensing was consistently greater than predicted from September 2020 onward. Antipsychotic dispensing increased immediately following a June 2020 structural break (26.4 units per 1,000 individuals; 95% CI: 15.8-36.9) and did not change appreciably thereafter. Antipsychotic dispensing was higher than predicted at all time points from June 2020 onward. Conclusion: We found higher-than-expected dispensing of antidepressants and antipsychotics in children and youth. These increases were sustained through nearly two years of observation and are especially concerning in light of the potential for harm with the long-term use of antipsychotics in children. Further research is required to understand the clinical implications of these findings.

Eviction filings during bans on enforcement throughout the COVID-19 pandemic: an interrupted time series analysis.

OBJECTIVE: Bans on evictions were implemented to reduce the spread of COVID-19 and to protect vulnerable populations during a public health crisis. Our objective was to examine how three bans on eviction enforcement impacted eviction filings from March 2020 through January 2022 in Ontario, Canada. METHODS: Data were derived from eviction application records kept by the Ontario Landlord and Tenant Board. We used segmented regression analysis to model changes in the average weekly filing rates for evictions due to non-payment of rent (L1 filings) and reasons other than non-payment of rent (L2 filings). RESULTS: The average number of weekly L1 and L2 applications dropped by 67.5 (95% CI: 55.2, 79.9) and 31.7 (95% CI: 26.7, 36.6) filings per 100,000 rental dwellings, respectively, following the first ban on eviction enforcement (p < 0.0001). Notably, they did not fall to zero. Level changes during the second and third bans were insubstantial and slope changes for L2 applications varied throughout the study period. The L1 filing rate appeared to increase towards the end of the study period (slope change: 1.3; 95% CI: 0.1, 2.6; p = 0.0387). CONCLUSION: Our findings suggest that while the first ban on eviction enforcement appeared to substantially reduce filing rates, subsequent bans were less effective and none of them eliminated eviction filings altogether. Enacting upstream policies that tackle the root causes of displacement would better equip jurisdictions during future public health emergencies.

RéSUMé: OBJECTIF: Les ordonnances d'expulsion résidentielles ont été suspendues pour réduire la propagation de la COVID-19 et pour protéger les populations vulnérables pendant une crise de santé publique. Notre objectif était d'examiner l'impact de trois interdictions d'exécution d'ordonnance d'éviction sur les requêtes d'expulsion de mars 2020 à janvier 2022 en Ontario, au Canada. MéTHODES: Les données ont été tirées des dossiers de requêtes d'expulsion conservés par la Commission de la location immobilière de l'Ontario. Nous avons utilisé une analyse de régression segmenté pour modéliser les changements dans les taux hebdomadaires moyens de requêtes d'expulsion pour non-paiement du loyer (requêtes L1) et pour des raisons autres que le non-paiement du loyer (requêtes L2). RéSULTATS: Le nombre moyen de demandes hebdomadaires de dépôts de requêtes L1 et L2 a chuté de 67,5 % (IC à 95% : 55,2, 79,9) et de 31,7 % (IC à 95% : 26,7, 36,6) pour 100 000 logements locatifs, respectivement, suite à la première interdiction d'exécution des expulsions. Il est à noter qu'elles ne sont pas tombées à zéro. Les changements du taux de requêtes au cours de la deuxième et la troisième interdictions n'étaient pas substantiels et les changements de pente pour les applications L2 ont varié tout au long de la période d'étude. Le taux de dépôt de L1 a semblé augmenter vers la fin de la période d'étude (changement de pente : 1,3; IC à 95% : 0,1, 2,6; p = 0,0387). CONCLUSION: Nos résultats suggèrent qu'alors que la première interdiction d'exécution des expulsions a semblé réduire considérablement les taux de dépôt d'expulsion, les interdictions ultérieures ont été moins efficaces et aucune d'entre elles n'a complètement éliminé les dépôts d'expulsion. L'adoption de politiques en amont qui s'attaquent plutôt aux causes profondes des expulsions permettrait de mieux équiper les juridictions lors de futures urgences de santé publique.

The role of geography and distance on physician follow-up after a first hospitalization with a diagnosis of a schizophrenia spectrum disorder: A retrospective population-based cohort study in Ontario, Canada.

BACKGROUND: Timely follow-up after hospitalization for a schizophrenia spectrum disorder (SSD) is an important quality indicator. We examined the proportion of individuals who received physician follow-up within 7 and 30 days post-discharge by health region and estimated the effect of distance between a person's residence and discharging hospital on follow-up. METHODS: We created a retrospective population-based cohort of incident hospitalizations with a discharge diagnosis of a SSD between 01/01/2012 and 30/03/2019. The proportion of follow-up with a psychiatrist and family physician within 7 and 30 days were calculated for each region. The effect of distance between a person's residence and discharging hospital on follow-up was estimated using adjusted multilevel logistic regression models. RESULTS: We identified 6,382 incident hospitalizations for a SSD. Only 14.2% and 49.2% of people received follow-up care with a psychiatrist within 7 and 30 days of discharge, respectively, and these proportions varied between regions. Although distance from hospital was not associated with follow-up within 7 days of discharge, increasing distance was associated with lower odds of follow-up with a psychiatrist within 30 days. CONCLUSION: Post-discharge follow-up is poor across the province. Geospatial factors may impact post-discharge care and should be considered in further evaluation of quality of care.

The relationship between rurality, travel time to care and death by suicide.

BACKGROUND: We previously found an association between rurality and death by suicide, where those living in rural areas were more likely to die by suicide. One potential reason why this relationship exists might be travel time to care. This paper examines the relationship between travel time to both psychiatric and general hospitals and suicide, and then determine whether travel time to care mediates the relationship between rurality and suicide. METHODS: This is a population-based nested case-control study. Data from 2007 to 2017 were obtained from administrative databases held at ICES, which capture all hospital and emergency department visits across Ontario. Suicides were captured using vital statistics. Travel time to care was calculated from the resident's home to the nearest hospital based on the postal codes of both locations. Rurality was measured using Metropolitan Influence Zones. RESULTS: For every hour in travel time a male resides from a general hospital, their risk of death by suicide doubles (AOR = 2.08, 95% CI = 1.61-2.69). Longer travel times to psychiatric hospitals also increases risk of suicide among males (AOR = 1.03, 95%CI = 1.02-1.05). Travel time to general hospitals is a significant mediator of the relationship between rurality and suicide among males, accounting for 6.52% of the relationship between rurality and increased risk of suicide. However, we also found that there is effect modification, where the relationship between travel time and suicide is only significant among males living in urban areas. CONCLUSIONS: Overall, these findings suggest that males who must travel longer to hospitals are at a greater risk of suicide compared to those who travel a shorter time. Furthermore, travel time to care is a mediator of the association between rurality and suicide among males.

Higher Neighborhood Drivability Is Associated With a Higher Diabetes Risk in Younger Adults: A Population-Based Cohort Study in Toronto, Canada.

OBJECTIVE: Car dependency contributes to physical inactivity and, consequently, may increase the likelihood of diabetes. We investigated whether neighborhoods that are highly conducive to driving confer a greater risk of developing diabetes and, if so, whether this differs by age. RESEARCH DESIGN AND METHODS: We used administrative health care data to identify all working-age Canadian adults (20-64 years) who were living in Toronto on 1 April 2011 without diabetes (type 1 or 2). Neighborhood drivability scores were assigned using a novel, validated index that predicts driving patterns based on built environment features divided into quintiles. Cox regression was used to examine the association between neighborhood drivability and 7-year risk of diabetes onset, overall and by age-group, adjusting for baseline characteristics and comorbidities. RESULTS: Overall, there were 1,473,994 adults in the cohort (mean age 40.9 ± 12.2 years), among whom 77,835 developed diabetes during follow-up. Those living in the most drivable neighborhoods (quintile 5) had a 41% higher risk of developing diabetes compared with those in the least drivable neighborhoods (adjusted hazard ratio 1.41, 95% CI 1.37-1.44), with the strongest associations in younger adults aged 20-34 years (1.57, 95% CI 1.47-1.68, P < 0.001 for interaction). The same comparison in older adults (55-64 years) yielded smaller differences (1.31, 95% CI 1.26-1.36). Associations appeared to be strongest in middle-income neighborhoods for younger residents (middle income 1.96, 95% CI 1.64-2.33) and older residents (1.46, 95% CI 1.32-1.62). CONCLUSIONS: High neighborhood drivability is a risk factor for diabetes, particularly in younger adults. This finding has important implications for future urban design policies.

A Cross-sectional Study of Community-level Physician Retention and Diabetes Management in Rural Ontario.

OBJECTIVE: Our aim in this study was to determine the impact of community-level physician retention on the quality of diabetes care in rural Ontario. METHODS: Using administrative data, we compared diabetes quality of care. We defined retention as the proportion of physicians in a community from one year to the next. We grouped retention level by tertile and added a category for those communities with no physician. RESULTS: Residents of high-retention communities were more likely to have had glycated hemoglobin (odds ratio [OR], 1.10; 95% confidence interval [CI], 1.06 to 1.14) and low-density lipoprotein (OR, 1.17; 95% CI, 1.13 to 1.22) testing, but less likely to have had testing for urine albumin-to-creatine ratio (OR, 0.86; 95% CI, 0.83 to 0.89) or to have received an angiotensin-converting enzyme inhibitor or angiotensin-2 receptor blocker (OR, 0.91; 95% CI, 0.86 to 0.95) or a statin (OR, 0.91; 95% CI, 0.87 to 0.96), when compared with low-retention communities. Communities with no residing physician had care that was equivalent to or better than that in high-retention communities. CONCLUSIONS: Community-level physician retention, based on a 2-year time frame, was significantly related to quality of diabetes care. A closer look at models of care in communities with no residing physician is warranted. Community-level physician retention can be used to assess the impact of physician shortages on diabetes management in rural communities.

A cross-sectional study of community-level physician retention and hospitalization in rural Ontario, Canada.

PURPOSE: Many rural communities experience poor family physician retention. We examined the association between community-level physician retention and hospitalization for all causes and ambulatory care-sensitive conditions (ACSCs) in 2017 among residents of rural communities in Ontario, Canada. METHODS: We conducted a population-based cross-sectional study by linking administrative data from the public health insurance program in Ontario. To create the physician retention measure for each rural community, we divided the number of family physicians who worked in the community in both 2016 and 2017 by the total number of unique family physicians in the community in either year. We grouped retention level by tertile and added a fourth category, "no physician" to include communities that did not have any residing physicians in either 2016 or 2017. Outcomes were all-cause hospitalization and ACSC hospitalization between April 1, 2017 and March 31, 2018. FINDINGS: Among 1,436,794 rural residents, there were 93,752 all-cause hospitalizations and 8,691 ACSC hospitalizations in 2017. After controlling for other predictors, compared to residents in low-retention communities, residents of medium- and high-retention communities were 0.888 (95% CI: 0.868-0.909) and 0.937 (95% CI: 0.915-0.960) times as likely to have all-cause hospitalization, and residents of high-retention communities were 0.918 (95% CI: 0.858-0.981) times as likely to have ACSC hospitalization in 2017. CONCLUSIONS: Community-level physician retention is significantly associated with all cause and ACSC hospitalization in rural communities in Ontario, and may serve as an alternate measure to assess the impact of disrupted continuity of care.

Help-seeking behavior among adults who attempted or died by suicide in Ontario, Canada.

INTRODUCTION: This study aims to determine the relationship between rurality and help-seeking behavior prior to a suicide or suicide attempt. METHODS: Data from 2007 to 2017 were obtained from administrative databases held at ICES, which capture all hospital, emergency department (ED), and general practitioner (GP) visits across Ontario. Rurality was defined using the Rurality Index of Ontario scores. Help-seeking was based on accessing health services 1 year prior to the event. RESULTS: Among those who died by suicide (N = 9848), those living in rural areas were less likely to seek help from a psychiatrist (rural males: AOR = 0.42, 95% CI = 0.31-0.57; rural females: AOR = 0.46, 95% CI = 0.29-0.97) compared with those living in urban areas. We found a similar association among those who attempted suicide (N = 82,480) (rural males: AOR = 0.49, 95% CI = 0.43-0.56; rural females: AOR = 0.51, 95% CI = 0.46-0.57). Rural males and females were more likely to seek care from an ED for mental health reasons compared with urban males and females. CONCLUSIONS: Among people who died by suicide, those living in rural areas are generally less likely to access psychiatrists and GPs and more likely to access EDs, suggesting that people living in rural areas may have less access to care than their urban counterparts.

Patient clustering in primary care settings: Outcomes and quality of care.

OBJECTIVE: To determine whether neighbours who share the same family physicians have better cardiovascular and health care outcomes. DESIGN: Retrospective cohort study using administrative health databases. SETTING: Ontario. PARTICIPANTS: The study population included 2,690,482 adult patients cared for by 1710 family physicians. INTERVENTIONS: Adult residents of Ontario were linked to their family physicians and the geographic distance between patients in the same panel or list was calculated. Using distance between patients within a panel to stratify physicians into quintiles of panel proximity, physicians and patients from close-proximity practices were compared with those from more-distant-proximity practices. Age- and sex-standardized incidence rates and hazard ratios from cause-specific hazards regression models were determined. MAIN OUTCOME MEASURES: The occurrence of a major cardiovascular event during a 5-year follow-up period (2008 to 2012). RESULTS: Patients of panels in the closest-proximity quintile lived an average of 3.9 km from the 10 closest patients in their panel compared with 12.4 km for the 10 closest patients of panels in the distant-proximity quintile. After adjusting for various patient and physician characteristics, patients in the most-distant-proximity practices had a 24% higher rate of cardiovascular events (adjusted hazard ratio=1.24 [95% CI 1.20 to 1.28], P<.001) than patients in the closest-proximity practices. Age- and sex-standardized all-cause mortality and total per patient health care costs were also lowest in the closest-proximity quintile. In sensitivity analyses restricted to large urban communities and to White long-term residents, results were similar. CONCLUSION: The better cardiovascular outcomes observed in close-proximity panels may be related to a previously unrecognized mechanism of social connectedness that extends the effectiveness of primary care practitioners.

Development of a neighborhood drivability index and its association with transportation behavior in Toronto.

BACKGROUND: Car driving is a form of passive transport that is associated with an increase in physical inactivity, obesity, air pollution and noise. Built environment characteristics may influence transport mode choice, but comprehensive indices for built environment characteristics that drive car use are still lacking, while such an index could provide tangible policy entry points. OBJECTIVE: We developed and validated a neighbourhood drivability index, capturing combined dimensions of the neighbourhood environment in the City of Toronto, and investigated its association with transportation choices (car, public transit or active transport), overall, by trip length, and combined for residential neighbourhood and workplace drivability. METHODS: We used exploratory factor analysis to derive distinct factors (clusters of one or more environmental characteristics) that reflect the degree of car dependency in each neighbourhood, drawing from candidate variables that capture density, diversity, design, destination accessibility, distance to transit, and demand management. Area-level factor scores were then combined into a single composite score, reflecting neighbourhood drivability. Negative binomial generalized estimating equations were used to test the association between driveability quintiles (Q) and primary travel mode (>50% of trips by car, public transit, or walking/cycling) in a population-based sample of 63,766 Toronto residents enrolled in the Transportation Tomorrow Survey (TTS) wave 2016, adjusting for individual and household characteristics, and accounting for clustering of respondents within households. RESULTS: The drivability index consisted of three factors: Urban sprawl, pedestrian facilities and parking availability. Relative to those living in the least drivable neighbourhoods (Q1), those in high drivability areas (Q5) had a significantly higher rate of car travel (adjusted Risk Ratio (RR): 1.80, 95%CI: 1.77-1.88), and lower rate of public transit use (RR: 0.90, 95%CI: 0.85-0.94) and walking/cycling (RR: 0.22, 95%CI: 0.19-0.25). Associations were strongest for short trips (<3 km) (RR: 2.72, 95%CI: 2.48-2.92), and in analyses where both residential and workplace drivability was considered (RR for car use in high/high vs. low/low residential/workplace drivability: 2.18, 95%CI: 2.08-2.29). CONCLUSION: This novel neighbourhood drivability index predicted whether local residents drive or use active modes of transportation and can be used to investigate the association between drivability, physical activity, and chronic disease risk.

Rurality as a Risk Factor for Attempted Suicide and Death by Suicide in Ontario, Canada.

OBJECTIVE: This study aims to examine rural and urban differences in attempted suicide and death by suicide in Ontario, Canada. METHOD: This is a population-based nested case-control study. Data were obtained from administrative databases held at ICES, which capture all hospital and emergency department visits across Ontario between 2007 and 2017. All adults living in Ontario who attempted suicide or died by suicide are included in the study, and controls were matched by sex and age. Suicides were captured using vital statistics. Suicide attempts were determined using emergency department service codes. RESULTS: Rurality is a risk factor for attempted suicide and death by suicide. Rural males are more likely to die by suicide compared with urban males (adjusted odds ratio(AOR) = 1.70, 95% confidence interval (CI), 1.49 to 1.95), and the odds of death by suicide increase with increasing levels of rurality. Rural males and females have an increased risk of attempted suicide compared with their urban counterparts (males: AOR = 1.37, 95% CI, 1.24 to 1.50) (females: AOR = 1.26, 95% CI, 1.14 to 1.39), with a pattern of increasing risk of suicide attempts with increasing rurality. Rural females are not at increased risk of suicide compared with urban females (AOR = 1.08, 95% CI, 0.80 to 1.45). Sensitivity analyses corroborated the results. CONCLUSIONS: Rural males are almost two times more likely to die by suicide compared with urban males, and both rural males and females have an elevated risk of suicide attempts compared with urban residents. Future research should examine potential mediators of the relationship between rurality and suicide.

Postpartum mental illness during the COVID-19 pandemic: a population-based, repeated cross-sectional study.

BACKGROUND: It is unclear whether the clinical burden of postpartum mental illness has increased during the COVID-19 pandemic. We sought to compare physician visit rates for postpartum mental illness in Ontario, Canada, during the pandemic with rates expected based on prepandemic patterns. METHODS: In this population-based, repeated cross-sectional study using linked health administrative databases in Ontario, Canada, we used negative binomial regression to model expected visit rates per 1000 postpartum people for March-November 2020 based on prepandemic data (January 2016-February 2020). We compared observed visit rates to expected visit rates for each month of the pandemic period, generating absolute rate differences, incidence rate ratios (IRRs) and their 95% confidence intervals (CIs). The primary outcome was a visit to a primary care physician or a psychiatrist for any mental disorder. We stratified analyses by maternal sociodemographic characteristics. RESULTS: In March 2020, the visit rate was 43.5/1000, with a rate difference of 3.11/1000 (95% CI 1.25-4.89) and an IRR of 1.08 (95% CI 1.03-1.13) compared with the expected rate. In April, the rate difference (10.9/1000, 95% CI 9.14-12.6) and IRR (1.30, 95% CI 1.24-1.36) were higher; this level was generally sustained through November 2020. From April-November, we observed elevated visit rates across provider types and for diagnoses of anxiety, depressive and alcohol or substance use disorders. Observed increases from expected visit rates were greater for people 0-90 days postpartum compared with 91-365 days postpartum; increases were small among people living in low-income neighbourhoods. Public health units in the northern areas of the province did not see sustained elevations in visit rates after July; southern health units had elevated rates through to November. INTERPRETATION: Increased visits for mental health conditions among postpartum people during the first 9 months of the COVID-19 pandemic suggest an increased need for effective and accessible mental health care for this population as the pandemic progresses.

Evaluation of Rheumatology Workforce Supply Changes in Ontario, Canada, from 2000 to 2030.

Rheumatology workforces are increasingly challenged by too few physicians in face of the growing burden of rheumatic and musculoskeletal diseases (RMDs). Rheumatology is one of the most frequent non-surgical specialty referrals and has the longest wait times for subspecialists. We used a population-based approach to describe changes in the rheumatology workforce, patient volumes and geographic variation in the supply of and access to rheumatologists, in Ontario, Canada, between 2000 and 2019, and projected changes in supply by 2030. Over time, we observed greater feminization of the workforce and increasing age of workforce members. We identified a large regional variation in rheumatology supply. Fewer new patients are seen annually, which likely contributes to increasing wait times and reduced access to care. Strategies and policies to raise the critical mass and improve regional distribution of supply to effectively provide rheumatology care and support the healthcare delivery of patients with RMDs are needed.

High risk neighbourhoods: The effect of neighbourhood level factors on cardiac arrest incidence.

BACKGROUND: Numerous studies have shown significant neighbourhood level variation in out-of-hospital cardiac arrest (OHCA) incidence rates, however, few have provided an explanation for these disparities beyond traditional socioeconomic measures. METHODS: This was a retrospective study using data from a large population-based OHCA database (Rescu Epistry). We included adults ≥20 years who experienced a non-traumatic OHCA and were treated by emergency medical services within Toronto, Canada between 2006-2012. The residential address of each OHCA patient was spatially mapped to 1 of 517 Toronto census tracts (CTs). Patient and CT level characteristics were included in multivariate regression models to assess their association with OHCA incidence per 100,000 persons. RESULTS: Of the 7775 OHCAs occurring in the study area, 7692 (98.9%) were eligible for inclusion. OHCA incidence rates varied widely across CT quintiles, with rates differing almost 4-fold (109.1 per 100,000 yearly Q5 most deprived vs. 30.0 per 100,000 yearly Q1 least deprived p < 0.0001). Numerous areas of high incidence adjacent to areas of low incidence were observed. After adjustment, all variables except the Activity Friendly Index showed highly significant linear trends, with increasing age, sex ratio, diabetes prevalence, material deprivation and ethnic concentration being independently associated with increasing OHCA incidence. In contrast, we did not observe a linear relationship between high OHCA incidence and median household income. CONCLUSIONS: This study showed almost 4-fold OHCA incidence variability across a large metropolitan area. This variability was partially correlated with population and health data, but not typical socioeconomic predictors, such as median household income.

Rurality and Risk of Suicide Attempts and Death by Suicide among People Living in Four English-speaking High-income Countries: A Systematic Review and Meta-analysis.

OBJECTIVE: Previous research indicates a potential relationship between rurality and suicide, indicating that those living in rural areas may be at increased risk of suicide. This relationship has not been reviewed systematically. This study aims to determine whether those living in rural areas are more likely to complete or attempt suicide. METHOD: This systematic review and meta-analysis included observational studies based on people living in Canada, the United States, the United Kingdom, and Australia. Data sources included PubMed, EMBASE, PsycINFO, and Google Scholar from January 2006 to December 2017. Studies must have compared rural and urban suicide or suicide attempts. Nonprimary research articles were excluded. RESULTS: A total of 6,259 studies were identified and 53 were included. Results indicate that males living in rural areas are more likely to complete suicide than their urban counterparts (RR = 1.41, 95% CI, 1.21 to 1.64, I2 = 96%). Females in rural areas are not significantly more likely to complete suicide (RR = 1.16, 95% CI, 0.98 to 1.37, I2 = 79%). Among studies that only reported combined estimates, rural individuals are more likely to complete suicide (RR = 1.22, 95% CI, 1.11 to 1.33, I2 = 98%). There is no association found between rurality and suicide attempts (RR = 0.93, 95% CI, 0.73 to 1.19, I2 = 85%). CONCLUSIONS: Those living in rural areas are more likely to complete suicide, with some studies indicating that only rural males are more likely to complete suicide; these findings are relatively consistent across all four countries. Public health initiatives should aim to overcome geographic variation in completed suicide, with a particular focus on rural males.

Geographic Access to Stroke Care Services in Rural Communities in Ontario, Canada.

BACKGROUND: Optimal stroke care requires access to resources such as neuroimaging, acute revascularization, rehabilitation, and stroke prevention services, which may not be available in rural areas. We aimed to determine geographic access to stroke care for residents of rural communities in the province of Ontario, Canada. METHODS: We used the Ontario Road Network File database linked with the 2016 Ontario Acute Stroke Care Resource Inventory to estimate the proportion of people in rural communities, defined as those with a population size <10,000, who were within 30, 60, and 240 minutes of travel time by car from stroke care services, including brain imaging, thrombolysis treatment centers, stroke units, stroke prevention clinics, inpatient rehabilitation facilities, and endovascular treatment centers. RESULTS: Of the 1,496,262 people residing in rural communities, the majority resided within 60 minutes of driving time to a center with computed tomography (85%), thrombolysis (81%), a stroke unit (68%), a stroke prevention clinic (74%), or inpatient rehabilitation (77.0%), but a much lower proportion (32%) were within 60 minutes of driving time to a center capable of providing endovascular thrombectomy (EVT). CONCLUSIONS: Most rural Ontario residents have appropriate geographic access to stroke services, with the exception of EVT. This information may be useful for jurisdictions seeking to optimize the regional organization of stroke care services.

Neighbourhood walkability and the incidence of diabetes: an inverse probability of treatment weighting analysis.

BACKGROUND: People living in highly walkable neighbourhoods tend to be more physically active and less likely to be obese. Whether walkable urban design reduces the future risk of diabetes is less clear. METHODS: We used inverse probability of treatment weighting to compare 10-year diabetes incidence between residents living in high-walkability and low-walkability neighbourhoods within five urban regions in Ontario, Canada. Adults (aged 30-85 years) who were diabetes-free on 1 April 2002 were identified from administrative health databases and followed until 31 March 2012 (n=958 567). Within each region, weights reflecting the propensity to live in each neighbourhood type were created based on sociodemographic characteristics, comorbidities and healthcare utilisation and incorporated into region-specific Cox proportional hazards models. RESULTS: Low-walkability areas were more affluent and had more South Asian residents (6.4%vs3.6%, p<0.001) but fewer residents from other minority groups (16.6%vs21.7%, p<0.001). Baseline characteristics were well balanced between low-walkability and high-walkability neighbourhoods after applying individual weights (standardised differences all <0.1). In each region, high walkability was associated with lower diabetes incidence among adults aged <65 years (overall weighted incidence: 8.2vs9.2 per 1000; HR 0.85, 95% CI 0.78 to 0.93), but not among adults aged ≥65 years (weighted incidence: 20.7vs19.5 per 1000; HR 1.01, 95% CI 0.91 to 1.12). Findings were consistent regardless of income and immigration status. CONCLUSIONS: Younger adults living in high-walkability neighbourhoods had a lower 10-year incidence of diabetes than similarly aged adults living in low-walkability neighbourhoods. Urban designs that support walking may have important benefits for diabetes prevention.

Temporal trends in multiple sclerosis prevalence and incidence in a large population.

OBJECTIVE: We sought to better understand the reasons for increasing prevalence of multiple sclerosis (MS) by studying prevalence in relation to incidence, mortality rates, sex ratio, and geographic distribution of cases. METHODS: We identified MS cases from 1996 to 2013 in Ontario, Canada, by applying a validated algorithm to health administrative data. We calculated age- and sex-standardized prevalence and incidence rates for the province and by census division. Incidence and prevalence sex ratios for women to men were computed. RESULTS: The prevalence of MS increased by 69% from 1.57 (95% confidence interval [CI]: 1.54-1.59) per 1,000 in 1996 (n = 12,155) to 2.65 (95% CI: 2.62-2.68) in 2013 (n = 28,192). Incidence remained relatively stable except for a spike in 2010, followed by a subsequent decline in 2011-2013, particularly among young people and men. Mortality decreased by 33% from 26.7 (95% CI: 23.5-30.3) per 1,000 to 18.0 (95% CI: 16.4-19.8) per 1,000. The incidence sex ratio was stable from 1996 to 2009, then declined in 2010, with partial rebound by 2013. MS prevalence and incidence showed no consistent association with latitude. CONCLUSION: In this large, population-based MS cohort, we found stable incidence and increasing prevalence of MS; the latter largely reflected declining mortality. A spike in incidence in 2010 among younger patients and men at a time of widespread media coverage of MS suggests that these groups may be vulnerable to delayed diagnosis. We did not find a latitudinal gradient; however, most Ontarians live between the 42nd and 46th parallels, reducing our ability to detect an effect of latitude.

Variation in Emergency Department Transfer Rates from Nursing Homes in Ontario, Canada.

BACKGROUND: Nursing home (NH) residents are frequently transferred to the emergency department (ED) but there is little data on inter-facility variation, which has implications for intervention planning and implementation. OBJECTIVES: To describe variation in ED transfer rates (TRs) across NHs and the association with NH characteristics. DESIGN/SETTING: Retrospective cohort study using linked administrative data from Ontario. PARTICIPANTS: 71,780 residents of 604 NHs in 2010 and followed for one year. MEASUREMENTS: Funnel plots were used to identify high transfer NHs and logistic regression to test the association with NH location, size, ownership and historical ED transfer rate. RESULTS: One-year ED transfer rates ranged from 4.3% to 58.6% (mean 28.4%); 115 (19%) NHs were considered high. Being within five minutes of an ED, larger size and high historical ED transfer rate were associated with being a high ED transfer home. CONCLUSION: There was substantial variation across NHs. Consideration of characteristics such as proximity to an ED may be important in the development and targeting of different interventions for NHs.