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Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Health status indicators – Ontario – Toronto"

1

Mahendra, Ahalya, Jane Y. Polsky, Éric Robitaille, Marc Lefebvre, Tina McBrien, and Leia M. Minaker. "Status report - Geographic retail food environment measures for use in public health." Health Promotion and Chronic Disease Prevention in Canada 37, no. 10 (October 2017): 357–62. http://dx.doi.org/10.24095/hpcdp.37.10.06.

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The Association of Public Health Epidemiologists in Ontario (APHEO) Core Indicators Work Group standardizes definitions and calculation methods for over 120 public health indicators to enhance accurate and standardized community health status reporting across public health units in Ontario. The Built Environment Subgroup is a multi-disciplinary group made up of planners, researchers, policy analysts, registered dietitians, geographic information systems (GIS) analysts and epidemiologists. The Subgroup selected and operationalized a suite of objective, standardized indicators intended to help public health units and regional health authorities assess their community retail food environments. The Subgroup proposed three indicators that use readily available data sources and GIS tools to characterize geographic access to various types of retail food outlets within neighbourhoods in urban settings. This article provides a status report on the development of these food environment indicators.
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2

Kanoatova, Suman, Eric N. Liberda, and M. Anne Harris. "Population health indicators across Ontario’s Public Health Units: a cross-sectional analysis of the Canadian Community Health Survey." Environmental Health Review 64, no. 3 (November 2021): 68–78. http://dx.doi.org/10.5864/d2021-018.

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Background Currently, 34 public health units (PHUs) in Ontario deliver public health programs and services to reduce preventable diseases, promote and protect health of their communities, and reduce persistent health inequities. Changes to the structure of Ontario PHUs have been proposed. This analysis compares the current 34 Ontario PHUs based on key health indicators for the purpose of determining local health needs in delivering public health programs and as a baseline for measuring the effect of any future changes to PHU structure. Methods We used data from the 2015–2016 Canadian Community Health Survey (CCHS), a voluntary cross-sectional survey about health status of Canadians. Twenty-one health indicators measured by the CCHS and particularly relevant to PHU responsibilities were identified and compared across units. In this descriptive, cross-sectional analyses we used survey-weighted frequency calculations of the selected indicator variables by PHU and χ2 analyses to test differences in indicator distribution across PHU. Results All indicators except for sex were distributed unevenly by PHU. We particularly highlight differences across units in modifiable indicators and risk factors such as obesity, fruit and vegetable consumption, physical inactivity, smoking, and access to primary care physicians. Impact of the study While all PHUs strive towards the same mandated responsibilities, considerable variations in health indicators exist between health units. This underscores the necessity for PHUs to tailor programs and deliver services based on local needs. Future changes to PHU structure must be tested against baseline to determine if they ameliorate or exacerbate health inequities in Ontario.
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3

Hosang, Stephanie, Natasha Kithulegoda, and Noah Ivers. "Documentation of Behavioral Health Risk Factors in a Large Academic Primary Care Clinic." Journal of Primary Care & Community Health 13 (January 2022): 215013192210744. http://dx.doi.org/10.1177/21501319221074466.

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Objective: To determine the prevalence of alcohol, smoking, and physical activity status documentation at a family health team in Toronto, Ontario, and to explore the patient characteristics that predict documentation of these lifestyle risk factor statuses. Design: Manual retrospective review of electronic medical records (EMRs). Setting: Large, urban, academic family health team in Toronto, Ontario. Participants: Patients over the age of 18 that had attended a routine clinical appointment in March, 2018. Main Outcome Measures: Prevalence and content of risk factor status in electronic medical records for alcohol, smoking, and physical activity. Results: The prevalence of alcohol, smoking, and physical activity documentation was 86.4%, 90.4%, and 66.1%, respectively. These lifestyle risk factor statuses were most often documented in the “risk factors” section of the EMR (83.7% for alcohol, 88.1% for smoking, and 47.9% for physical activity). Completion of a periodic health review within 1 year was most strongly associated with documentation (alcohol odds ratio [OR] 9.79, 95% Confidence Interval [CI] 2.12, 45.15; smoking OR 1.77 95% CI 0.51, 6.20; physical activity OR 3.52 95% CI 1.67, 7.40). Conclusion: Documentation of lifestyle risk factor statuses is strongly associated with having a recent periodic health review. If “annual physicals” continue to decline, primary care providers should final additional opportunities to address these key determinants of health.
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4

Salehi, Leila, Aisha K. Lofters, Susan M. Hoffmann, Jane Y. Polsky, and Katherine D. Rouleau. "Health and growth status of immigrant and refugee children in Toronto, Ontario: A retrospective chart review." Paediatrics & Child Health 20, no. 8 (November 1, 2015): e38-e42. http://dx.doi.org/10.1093/pch/20.8.e38.

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5

Scheim, Ayden I., Ruby Sniderman, Ri Wang, Zachary Bouck, Elizabeth McLean, Kate Mason, Geoff Bardwell, et al. "The Ontario Integrated Supervised Injection Services Cohort Study of People Who Inject Drugs in Toronto, Canada (OiSIS-Toronto): Cohort Profile." Journal of Urban Health 98, no. 4 (June 28, 2021): 538–50. http://dx.doi.org/10.1007/s11524-021-00547-w.

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AbstractThe Ontario Integrated Supervised Injection Services cohort in Toronto, Canada (OiSIS-Toronto) is an open prospective cohort of people who inject drugs (PWID). OiSIS-Toronto was established to evaluate the impacts of supervised consumption services (SCS) integrated within three community health agencies on health status and service use. The cohort includes PWID who do and do not use SCS, recruited via self-referral, snowball sampling, and community/street outreach. From 5 November 2018 to 19 March 2020, we enrolled 701 eligible PWID aged 18+ who lived in Toronto. Participants complete interviewer-administered questionnaires at baseline and semi-annually thereafter and are asked to consent to linkages with provincial healthcare administrative databases (90.2% consented; of whom 82.4% were successfully linked) and SCS client databases. At baseline, 86.5% of participants (64.0% cisgender men, median ([IQR] age= 39 [33–49]) had used SCS in the previous 6 months, of whom most (69.7%) used SCS for <75% of their injections. A majority (56.8%) injected daily, and approximately half (48.0%) reported fentanyl as their most frequently injected drug. As of 23 April 2021, 291 (41.5%) participants had returned for follow-up. Administrative and self-report data are being used to (1) evaluate the impact of integrated SCS on healthcare use, uptake of community health agency services, and health outcomes; (2) identify barriers and facilitators to SCS use; and (3) identify potential enhancements to SCS delivery. Nested sub-studies include evaluation of “safer opioid supply” programs and impacts of COVID-19.
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6

Stratton, J., D. L. Mowat, R. Wilkins, and M. Tjepkema. "Income disparities in life expectancy in the City of Toronto and Region of Peel, Ontario." Chronic Diseases and Injuries in Canada 32, no. 4 (September 2012): 208–15. http://dx.doi.org/10.24095/hpcdp.32.4.05.

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Introduction To understand the lack of a gradient in mortality by neighbourhood income in a previous study, we used individual-level data from the 1991–2001 Canadian census mortality follow-up study to examine income-related disparities in life expectancy and probability of survival to age 75 years in the City of Toronto and Region of Peel. Methods We calculated period life tables for each sex and income adequacy quintile, overall and separately for immigrants and non-immigrants. Results For all cohort members of both sexes, including both immigrants and non-immigrants, there was a clear gradient across the income quintiles, with higher life expectancy in each successively richer quintile. However, the disparities by income were much greater when the analysis was restricted to non-immigrants. The lesser gradient for immigrants appeared to reflect the higher proportion of recent immigrants in the lower income quintiles. Conclusion These findings highlight the importance of using individual-level ascertainment of income whenever possible, and of including immigrant status and period of immigration in assessments of health outcomes, especially for areas with a high proportion of immigrants.
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7

Reid, Scott, and Anita LeBaron. "Autumn electrofishing reduces harm to Ontario (Canada) stream fishes collected during watershed health monitoring." Conservation Evidence Journal 18 (January 1, 2021): 31–36. http://dx.doi.org/10.52201/cej18hjvu9134.

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Анотація:
Electrofishing surveys provide important information on watershed health, and the status of imperiled and recreationally important stream fishes. Concerns about the harmful effects of electrofishing on the endangered redside dace Clinostomus elongatus have resulted in restrictions on its use in sampling activities in the province of Ontario, Canada. However, the effectiveness of these restrictions is unproven. We undertook a paired sampling gear study in 2018-2019 to test whether an alternate gear (seine nets) or a change in electrofishing timing (autumn rather than summer) reduced harm to stream fishes. The study took place in streams located in the Greater Toronto Area. We found large differences in the frequency and magnitude of sampling-related mortalities between sampling gear and seasons. During individual surveys, electrofishing mortality never exceeded 9% in the summer or 4% in the autumn, while seining-related mortality reached 60% at two stream sites. Overall, autumn electrofishing resulted in mortality rates that were 5.6 and 15 times lower than summer electrofishing and summer seining. These results indicate that survival of Ontario stream fishes can be improved by delaying electrofishing until early autumn.
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8

Rotenberg, Martin, Andrew Tuck, Kelly Anderson, and Kwame McKenzie. "S131. NEIGHBOURHOOD-LEVEL SOCIAL CAPITAL, MARGINALIZATION, AND THE INCIDENCE OF PSYCHOTIC DISORDERS IN TORONTO, CANADA: A RETROSPECTIVE POPULATION-BASED COHORT STUDY." Schizophrenia Bulletin 46, Supplement_1 (April 2020): S85. http://dx.doi.org/10.1093/schbul/sbaa031.197.

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Abstract Background Previous studies have shown mixed results regarding the relationship between social capital and the risk of developing a psychotic disorder, and this has yet to be studied in North America. This study aims to examine the relationship between neighbourhood-level social capital, marginalization, and the incidence of psychotic disorders in Toronto, Canada. Methods A retrospective cohort of people aged 14 to 40 years residing in Toronto, Canada in 1999 (followed to 2008) was constructed from population-based health administrative data. Incident cases of schizophrenia spectrum psychotic disorders were identified using a validated algorithm. Voter participation rates in a municipal election were used as a proxy neighbourhood-level indicator of social capital. Exposure to neighbourhood-level marginalization was obtained from the Ontario Marginalization Index. Poisson regression models adjusting for age and sex were used to calculate incidence rate ratios (IRR) for each social capital quintiles and marginalization quintile. Results In the study cohort (n = 640,000) over the 10-year follow-up period, we identified 4,841 incident cases of schizophrenia spectrum psychotic disorders. We observed elevated rates of psychotic disorders in areas with the highest levels (IRR = 1.13, 95% CI 1.00–1.27) and moderate levels (IRR = 1.23, 95% CI 1.12–1.36) of social capital, when compared to areas with the lowest levels of social capital, after adjusting for neighbourhood-level indicators of marginalization. The risk associated with social capital was not present when analyzed in only the females in the cohort. All neighbourhood marginalization indicators, other than ethnic concentration, were significantly associated with risk. Discussion The risk of developing a psychotic disorder in Toronto, Canada is associated with socioenvironmental exposures. Social capital is associated with risk, however, the impact of social capital on risk differs by sex and social capital quintile. Across the entire cohort, exposure to all neighbourhood-level marginalization indicators, except ethnic concentration, impacts risk. Future research should examine how known individual-level risk factors, including immigration, ethnicity, and family history of a mental disorder may interact with these findings.
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9

Gorey, Kevin M., Isaac N. Luginaah, Emma Bartfay, Karen Y. Fung, Eric J. Holowaty, Frances C. Wright, Caroline Hamm, and Sindu M. Kanjeekal. "Effects of Socioeconomic Status on Colon Cancer Treatment Accessibility and Survival in Toronto, Ontario, and San Francisco, California, 1996–2006." American Journal of Public Health 101, no. 1 (January 2011): 112–19. http://dx.doi.org/10.2105/ajph.2009.173112.

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10

Offord, David R., Michael H. Boyle, Jan E. Fleming, Heather Munroe Blum, and Naomi I. Rae Grant. "Summary of Selected Results." Canadian Journal of Psychiatry 34, no. 6 (August 1989): 483–91. http://dx.doi.org/10.1177/070674378903400602.

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Selected results from the Ontario Child Health Study (OCHS), a cross-sectional community survey of Ontario children four to 16 years of age, are presented in the areas of prevalence, risk indicators and service utilization. The six month prevalence of one or more of four psychiatric disorders (conduct disorder, hyperactivity, emotional disorder, and somatization), in children four to 16 years of age, in Ontario was 18.1%. The highest rate was in 12 to 16 year old girls, and the lowest rate in four to 11 year old girls. Co-morbidity among these four disorders was high while the proportion of disorders identified by more than one respondent was low. Psychiatric disorders co-occurred significantly with other morbidities in children, including poor school performance, chronic health problems, substance use and suicidal behaviour. Chronic medical illness in the child as well as single parent status, living in a family on social assistance and residing in subsidized housing, were all strong indicators of increased rates of psychiatric disorders in children. Specialized mental health/social services, over a six month period, reached fewer than one of five children with psychiatric disorders, as measured in the study. In contrast, ambulatory medical care (primarily visits to family doctors and pediatricians) served almost 60% of Ontario children four to 16 years old, over the same six month period. The results are compared with those in the literature.
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Дисертації з теми "Health status indicators – Ontario – Toronto"

1

Curtis, Lori. "The health status of mothers and children." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0002/NQ42840.pdf.

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2

Hobin, Erin Patricia. "Middle school students' concepts of health in Ontario, Canada and the British Virgin Islands and the implications for school health education." 2006. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=442178&T=F.

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Книги з теми "Health status indicators – Ontario – Toronto"

1

Spasoff, R. A. Ontario health data: Local health data for Ontario districts. Hamilton, Ont: EFPO Co-ordinating Centre, McMaster University, 1992.

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2

Manuel, Douglas G. Adding years to life and life to years: Life and health expectancy in Ontario. Toronto: Institute for Clinical Evaluative Sciences, 2001.

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3

Spasoff, R. A. Ontario health data: Sources, characteristics and use in planning medical education. Hamilton, Ont: EFPO Coordinating Centre, McMaster University, 1992.

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4

Manuel, Douglas G. Adding years to life and life to years: Life and health expectancy in Ontario : technical supplement. Toronto: Institute for Clinical Evaluative Sciences, 2001.

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5

Metropolitan Toronto District Health Council., ed. Metroprofile: Selected demographics and health status indicators in metropolitan Toronto. Toronto: Metropolitan Toronto District Health Council, 1992.

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6

Ontario health survey, 1990: Highlights. [Toronto]: Ontario Ministry of Health, 1992.

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7

John, Lindsay Herbert. Perspectives on subjective well-being: Structural, and multivariate analyses of the Ontario health survey well-being scale. 1995.

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8

Pitfield, Caroline. Giving patients a louder voice in the health care system?: A critical evaluation of the Ontario Health Services Appeal and Review Board. 2003.

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9

Hobin, Erin Patricia. Middle school students' concepts of health in Ontario, Canada and the British Virgin Islands and the implications for school health education. 2006.

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