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Background Small area estimation refers to statistical modelling procedures that leverage information or "borrow strength" from other sources or variables. This is done to enhance the reliability of estimates of characteristics or outcomes for areas that do not contain sufficient sample sizes to provide disaggregated estimates of adequate precision and reliability. There is growing interest in secondary research applications for small area estimates (SAEs). However, it is crucial to assess the analytic value of these estimates when used as proxies for individual-level characteristics or as distinct measures that offer insights at the area level. This study assessed novel area-level community belonging measures derived using small area estimation and examined associations with individual-level measures of community belonging and self-rated health. Data and methods SAEs of community belonging within census tracts produced from the 2016-2019 cycles of the Canadian Community Health Survey (CCHS) were merged with respondent data from the 2020 CCHS. Multinomial logistic regression models were run between area-level SAEs, individual-level sense of community belonging, and self-rated health on the study sample of people aged 18 years and older. Results Area-level community belonging was associated with individual-level community belonging, even after adjusting for individual-level sociodemographic characteristics, despite limited agreement between individual- and area-level measures. Living in a neighbourhood with low community belonging was associated with higher odds of reporting being in fair or poor health, versus being in very good or excellent health (odds ratio: 1.53; 95% confidence interval: 1.22, 1.91), even after adjusting for other factors such as individual-level sense of community belonging, which was also associated with self-rated health. Interpretation Area-level and individual-level sense of community belonging were independently associated with self-rated health. The novel SAEs of community belonging can be used as distinct measures of neighbourhood-level community belonging and should be understood as complementary to, rather than proxies for, individual-level measures of community belonging. [ABSTRACT FROM AUTHOR]

Background: As Canada continues to experience an opioid crisis, it is important to understand the intersection between the demographic, socioeconomic and service use characteristics of those experiencing opioid overdoses to better inform prevention and treatment programs. Data and methods: The Statistics Canada British Columbia Opioid Overdose Analytical File (BCOOAF) represents people's opioid overdoses between January 2014 and December 2016 (n = 13,318). The BCOOAF contains administrative health data from British Columbia linked to Statistics Canada data, including on health, employment, social assistance and police contacts. Cluster analysis was conducted using the k-prototypes algorithm. Results: The results revealed a six-cluster solution, composed of three groups (A, B and C), each with two distinct clusters (1 and 2). Individuals in Group A were predominantly male, used non-opioid prescription medications and had varying levels of employment. Individuals in Cluster A1 were employed, worked mostly in construction, had high incomes and had a high rate of fatal overdoses, while individuals in Cluster A2 were precariously employed and had varying levels of income. Individuals in Group B were predominantly female; were mostly taking prescription opioids, with about one quarter or less receiving opioid agonist treatment (OAT); mostly had precarious to no employment; and had low to no income. People in Cluster B1 were primarily middle-aged (45 to 65 years) and on social assistance, while people in Cluster B2 were older, more frequently used health services and had no social assistance income. Individuals in Group C were primarily younger males aged 24 to 44 years, with higher prevalence of having experienced multiple overdoses, were medium to high users of health care services, were mostly unemployed and were recipients of social assistance. Most had multiple contacts with police. Those in Cluster C1 predominantly had no documented use of prescription opioid medications, and all had no documented OAT, while all individuals in Cluster C2 were on OAT. Interpretation: The application of machine learning techniques to a multidimensional database enables an intersectional approach to study those experiencing opioid overdoses. The results revealed distinct patient profiles that can be used to better target interventions and treatment. [ABSTRACT FROM AUTHOR]

Introduction: The Canadian Community Health Survey (CCHS) - Nutrition 2004 (n=35,107; interview dates from January 2004 to January 2005) linked to the Canadian Vital Statistics - Death Database (CVSD) (2011) represents a novel linkage of a population-based, nationally representative nutrition survey with routinely collected mortality records (including date and cause of death). The linkage was done through individual tax data in Canada, and contains longitudinal records for 29,897 Canadians aged 0 years and older--1,753 of whom died--in the 10 provinces of Canada. The median follow-up time was 7.49 years, with 102,953 personyears among males and 114,876 person-years among females (unweighted), and included a special sampling survey weight (for linked data) to account for those who did not agree to share and link their information. The CCHS - Nutrition 2004 linked to CVSD has been used to evaluate associations between lifestyle and sociodemographic characteristics and mortality. Using these data, statistical methods have been developed and tested to control random and systematic measurement errors when evaluating the relationship between different dietary exposures (evaluated using repeated 24-hour dietary recalls) and health outcomes. The linked data are available through Statistics Canada's Research Data Centres. [ABSTRACT FROM AUTHOR]

Background Canadian immigrants from countries where the hepatitis B virus (HBV) and hepatitis C virus (HCV) are endemic may be at higher risk of liver-related disease than Canadian-born residents. This study compared HBV- and HCV-related hospitalizations in Canadian immigrants (arriving from 1980 to 2013) and longterm residents (Canadian-born population and pre-1980 immigrants) and aimed to describe the burden of disease in both groups. Methods Based on the 2004/2005-to-2013/2014 hospital Discharge Abstract Database linked to the 1980-to-2013 Longitudinal Immigration Database, this descriptive cross-sectional study examined the distribution of HBV- and HCV-related hospitalizations, lengths of stay, comorbidities, and sequelae incurred by immigrants and long-term residents in Canada. With a linkage rate of 85%, 5,854,949 immigrants were included in the study. Proportions of HBV- and HCV-related hospitalizations attributable to immigrants were calculated. Results By birth country risk level, 22% of HBV-related hospital events among recent immigrants, and 20% of those related to HCV, were among people from high-risk countries. Proportionally, fewer immigrants had comorbidities than long-term residents. The top two hospital-related sequelae in both groups were cirrhosis and ascites, and liver cancer. While immigrants made up 16% of the Canadian population, they incurred 37% of HBV-related hospitalizations and 9% of HCVrelated hospitalizations, giving ratios of hepatitis-related hospitalizations relative to the population share of 2.3 (95% confidence interval [CI]: 2.2 to 2.5) and 0.5 (95% CI: 0.5 to 0.6) respectively. These ratios were higher among seniors, at 4.4 (95% CI: 3.9 to 4.9) and 2.3 (95% CI: 1.9 to 2.6), respectively. Interpretation Immigrants can require hospitalization for hepatitis in Canada, especially for HBV. These results may inform health screening for HBV or HCV in the Canadian immigration context. [ABSTRACT FROM AUTHOR]

Background The objective of this study was to create the Canadian Food Environment Dataset (Can-FED) and to demonstrate its validity. Data and methods Food outlet data were extracted from Statistics Canada's Business Register (BR) in 2018. Retail food environment access measures (both absolute and relative measures) were calculated using network buffers around the centroid of 56,589 dissemination areas in Canada. A k-medians clustering approach was used to create categorical food environment variables that were easy to use and amenable to dissemination. Validity of the measures was assessed by comparing the food environment measures from Can-FED with measures created using Enhanced Points of Interest data by DMTI Spatial Inc. and data from a municipal health inspection list. Validity was also assessed by calculating the geographic variability in food environments across census metropolitan areas (CMAs) and assessing associations between CMA-level food environments and CMA-level health indicators. Results Two versions of Can-FED were created: a researcher file that must be accessed within a secure Statistics Canada environment and a general-use file available online. Agreement between Can-FED food environment measures and those derived from a proprietary dataset and a municipal health inspection list ranged from rs=0.28 for convenience store density and rs=0.53 for restaurant density. At the CMA level, there is wide geographic variation in the food environment with evidence of patterning by health indicators. Interpretation Can-FED is a valid and accessible dataset of pan-Canadian food environment measures that was created from the BR, a data source that has not been explored fully for health research. [ABSTRACT FROM AUTHOR]

Background Reliance on the use of opioids to manage pain has increased over time, as have opioid-related morbidity and deaths. In 2018, 12.7% of Canadians reported having used opioid pain relief medications (OPRMs) in the previous year. Among these people, 9.6% had engaged in problematic use that could cause harm to their health. Though socioeconomic characteristics associated with opioid-related harms have previously been reported, population-level evidence based on administrative health data lacks important behavioural and psychosocial information. This analysis extends previous research by using modelling to report factors related to the problematic use of OPRMs for the household population aged 15 and older in Canada. Data and methods This analysis uses responses to the 2018 Canadian Community Health Survey to identify factors that are significantly associated, after adjustment using multivariate logistic regression models, with elevated odds of problematic use of OPRMs. Results The fully adjusted model confirmed that being male, being younger (ages 20 to 24), having fair or poor mental health, having unmet needs for help with mental or emotional health or substance problems, being a smoker, or being unattached and living with others were significantly related to problematic OPRM use. Interpretation Subjective perceptions significantly related to problematic OPRM use, independent of socioeconomic circumstances, were examined in this study. While previous research based on administrative health data has contributed much to knowledge about factors associated with opioid harms, modelled results revealed that self-reported experiential factors also warrant consideration as they are significantly associated with problematic use. Having fair or poor mental health, having unmet perceived needs for help, and being unattached in terms of household arrangement relationship were related to problematic use of OPRMs, even after adjustment for socioeconomic and other health covariates. This study suggests risk profiles that could be used to inform health care providers, and strategies to support safe pain management. [ABSTRACT FROM AUTHOR]

Background Following the 2016 opioid overdose emergency declaration in British Columbia (B.C.), provincial stakeholders collaborated to link data that resulted in the B.C. Provincial Overdose Cohort. This database provides information about people who have experienced opioid overdoses to inform policy and intervention developments. Subsequently, Statistics Canada likewise constructed a cohort and integrated federal data to broaden the scope of the B.C. initiative. This provided federally sourced information about people's circumstances that was not otherwise available. Methods The Statistics Canada British Columbia Opioid Overdose Analytical File further characterizes the socioeconomic circumstances of 13,318 people who experienced illicit drug toxicity deaths and non-fatal opioid overdoses in B.C. between January 1, 2014, and December 31, 2016. Statistics Canada linked federal data on immigration, employment, the justice system and social assistance receipt in the year of, and prior to, people's first overdose. Results During the observation period, most people (78%) had one overdose episode, rather than several. Seven percent were immigrants or temporary residents, 41% of whom arrived in Canada more than 20 years before their index overdose. Half (49.6%) had not received social assistance, and one-third (33.8%) were employed--primarily within construction (21% of those employed)--in the year prior to their index overdose. Most employed people (65.5%) experienced periods of unemployment within five years prior to their index overdose. Employment was more prevalent among people who experienced illicit-drug toxicity death (36.1%). About 60% of people had not had any formal police contact within the two years prior to the index overdose. Interpretation This project demonstrated further added value to existing data by using this linkage approach and aligned with strategies underway by BC public health partners to provide cross-sectoral evidence to inform efforts to prevent and manage opioid overdoses. [ABSTRACT FROM AUTHOR]

Hospitalizations due to opioid poisonings are increasing. While considerable information is available on the demographic and geographic distribution of opioid-related events, national data on the social and economic circumstances of those experiencing these events are limited. This study uses data from the National Household Survey (2011) linked to the Discharge Abstract Database (2011 to 2016) to provide the first national-level estimates of the socio-economic characteristics of individuals experiencing opioid-related hospitalizations. Results reveal elevated hospitalization rates among people who have lower levels of income and education, are unemployed or out of the labour force, identify as Indigenous, live in lone-parent households, and spend more than 50% of their household income on housing. Understanding the circumstances of individuals who experienced adverse opioid events will help inform policies addressing potential determinants. [ABSTRACT FROM AUTHOR]

Background: National population information about the surgical treatment rate for primary cancers, including breast cancer, has remained a significant data gap in Canada. This gap has implications for cancer care planning and evaluating health system performance. New linkages between the Canadian Cancer Registry and hospital discharge records were conducted by Statistics Canada in 2016. Using already existing, routinely collected health administrative data, these linkages allow viable reporting of surgical cancer treatment for the first time for all provinces and territories (except Quebec). Data and methods: Hospital record information about type and date of surgical treatment of tumours was provided by information from linked data. These linked data reported 50,740 incident primary malignant breast tumours diagnosed between January 1, 2010, and December 31, 2012, among females aged 19 years or older. The unadjusted treatment rate for primary surgical intervention within one year was calculated as the proportion of total tumours that were linkable to hospital records. Results: For three combined years (2010, 2011 and 2012), 88.3% (N=44,780) of patients overall received at least one surgical treatment. Variations to the surgical rate occurred across jurisdictions, with the highest rate at 91-92% for Prince Edward Island, Newfoundland and Labrador, British Columbia and New Brunswick. Generally, there was an inverse gradient between surgical treatment rate and tumour stage. Interpretation: The surgical treatment rate of new primary breast cancers varied across provinces and territories from 2010 to 2012. New linked data could be used to further identify geographic and demographic inequities in terms of receiving surgical cancer treatment and contribute to the evaluation of cancer system performance and outcomes. [ABSTRACT FROM AUTHOR]

Background: While the incidence of active tuberculosis (TB) in Canada is among the lowest in the world, the rates of TB among immigrants and Indigenous people remain high. In fact, the majority of new active TB cases are disproportionately found among immigrants. This study profiles TB-related acute care hospitalizations among new immigrants to Canada by selected characteristics. Data and methods: This study is based on the 2000-to-2013 Longitudinal Immigration Database (IMDB) linked to the Canadian Institute for Health Information's Discharge Abstract Database (DAD) from 2001/2002 to 2013/2014. It examines the timing of first TB-related acute care hospitalization occurring from the fiscal year 2001/2002 to the fiscal year 2013/2014 among immigrants who landed in Canada from 2000 to 2013 outside of Quebec and the territories. Mean and median hospital days and the percentage of total TB hospitalizations incurred by these new immigrants are calculated to measure the burden of hospital care among recent immigrants. Results: From 2001/2002 to 2013/2014, 1,120 out of 2.7 million immigrants arriving between 2000 and 2013 were found to have, in total, 1,340 TB-related hospital discharges. The majority of cases (97%) were among immigrants from the Immigration, Refugees and Citizenship Canada (IRCC) designated country list for TB, in which about three quarters of the cases were from the World Health Organization (WHO) list of high TB-burden countries. Approximately half (45%) of immigrants hospitalized for TB were aged 18 to 34 at the time of hospitalization. Around 10% of all TB patients had been hospitalized before formally landing as immigrants. Mean and median length of hospital stay were 17 days and 11 days, respectively (22 days and 14 days, respectively, for the overall population in Canada). While new immigrants who landed between 2000 and 2013 represent 7% of the overall population of Canada, they incurred 17% of all TB-related hospital discharges occurring during this period. Interpretation: This paper demonstrates the value of linked administrative data to understanding immigrant health and is important for future work in this area. Current immigration protocols surrounding TB involve screening for active pulmonary TB and identifying some migrants with latent TB. Results of this study, linking TB-related hospitalizations to immigrant landing files, provide unique information that can inform public health action, as well as migration policy and program development to contribute to the efforts to eliminate TB. [ABSTRACT FROM AUTHOR]

Background: The aging of the Canadian population has increased attention on the future need for nursing home beds. Although current projections rely primarily on age and sex, other factors also contribute to the need for long-term care. This study seeks to identify additional factors to age and sex that contribute to Canadians transitioning from living at home to living in a seniors' residence or nursing home. Data and methods: As part of a larger record linkage project, three cycles of the Canadian Community Health Survey (CCHS) were linked to the 2011 Census of Population: Cycle 3.1 (2005/2006), Cycle 4.1 (2007/2008), and CCHS-Healthy Aging (2008/2009). The sample was limited to successfully linked CCHS respondents who were aged 60 years or older as of Census Day 2011 (May 10, 2011; n=81,411). Sex-specific generalized multinomial logistic regression models were conducted to examine the association between each respondent's characteristics and dwelling location (private dwelling, private dwelling with additional family, nursing home, or seniors' residence) on Census Day. Results: On Census Day, 1.4% of the study sample were living in a nursing home, 1.2% in a seniors' residence, 7.1% in a private dwelling with additional family, and 90.3% in a private dwelling. Women were more likely than men to be living in a nursing home (1.8% of women vs. 0.9% of men) or seniors' residence (1.7% of women vs. 0.7% of men). Regression models showed that, aside from age, there were increased odds of living in a nursing home or seniors' residence among individuals who lost their spouse or who were not married, who did not own their dwelling, who had poor self-rated health, or who had been diagnosed with dementia. The association of other factors with dwelling place differed according to sex and type of dwelling. Interpretation: Although age is strongly associated with living in a nursing home or seniors' residence, other demographic and health factors affect the likelihood of an individual transitioning to an institutional dwelling. Such factors could be considered when planning for the future housing and care needs of the Canadian population. [ABSTRACT FROM AUTHOR]

Background: Hospitalizations for ambulatory care sensitive conditions (ACSCs) are potentially preventable, but may be required if these conditions are not managed well. National-level information about ACSC hospitalizations is available for Canada, but not for Aboriginal groups. This study describes ACSC hospitalizations among urban Métis adults relative to their non-Aboriginal counterparts. Data and methods: The 2006/2007-to-2008/2009 Discharge Abstract Database, which contains hospitalization records from all acute care facilities (excluding Quebec), was linked to the 2006 Census to obtain Aboriginal identity information. Age-standardized ACSC hospitalization rates (ASHRs) per 100,000 population and rate ratios were calculated for Métis aged 18 to 74 relative to non-Aboriginal people of the same ages. Odds of ACSC hospitalizations were estimated using logistic regression models, adjusting for demographic, geographic, and socioeconomic characteristics. Results: The ASHR for ACSCs among urban Métis adults was twice that among non-Aboriginal adults (393 versus 184 per 100,000 population). Even when demographic, geographic, and socioeconomic characteristics were taken into account, Métis had higher odds of ACSC hospitalizations overall (OR 1.5). Most commonly, these hospitalizations were for diabetes (OR 1.8) or chronic obstructive pulmonary disease (OR 1.5). Modelled factors partly reduced differences between Métis and non-Aboriginal adults, but variations between the groups remained after all adjustments. Interpretation: Rates of ACSC hospitalizations were higher among Métis than among non-Aboriginal adults who lived in urban areas. Further research using other data sources is warranted to assess the roles of factors not available for this analysis, such as primary care, co-morbidity, and health behaviours. [ABSTRACT FROM AUTHOR]

Background: Economic immigrants generally, and economic class principal applicants (ECPAs) specifically, tend to have better health than other immigrants, as well as the Canadian-born population. However, health outcomes vary among subcategories within this group, especially by sex. Methods: This study examines hospitalization rates among ECPAs aged 25 to 74 who arrived in Canada between 1980 and 2006 as skilled workers, business immigrants, or live-in caregivers. The analysis used two linked databases to estimate age-standardized hospitalization rates (ASHRs) overall and for leading causes by sex. ASHRs of ECPA subcategories were compared with each other and with those of the Canadian-born population. Logistic regression was used to derive odds ratios for hospitalization among ECPAs, by sex. Results: Male and female ECPAs aged 25 to 74 had significantly lower all-cause ASHRs than did the Canadian-born population in the same age range. This pattern prevailed for each ECPA subcategory and for each disease examined. Compared with skilled workers, business immigrants had lower odds of hospitalization; live-in caregivers who arrived after 1992 had higher odds. Adjustment for education, official language proficiency, and world region reduced the strength of or eliminated these associations. Interpretation: Compared with the Canadian-born population, ECPAs generally had lower hospitalization rates. Differences were apparent among ECPA subcategories. [ABSTRACT FROM AUTHOR]

Background: Respiratory diseases are among the leading causes of acute care hospitalization for First Nations people. Poor housing conditions are associated with respiratory disorders and may be related to the likelihood of hospitalization. This analysis examines whether First Nations identity is associated with higher odds of hospitalization for respiratory conditions relative to non-Aboriginal persons, and whether such differences in hospitalization rates remain after consideration of housing conditions. Data and methods: Data from the 2006 Census linked to the Discharge Abstract Database were used to analyze differences in hospitalization for respiratory tract infections and asthma between First Nations and non-Aboriginal people when housing conditions were taken into account. Results: Rural on-reserve First Nations people were more likely than non-Aboriginal people to be hospitalized for a respiratory tract infection (1.5% versus 0.5%) or for asthma (0.2% versus 0.1%). For respiratory tract infection hospitalizations, adjustment for housing conditions, household income and residential location reduced differences, but the odds remained nearly three times higher for on-reserve First Nations people (OR = 2.83; CI: 2.69 to 2.99) and two times higher for off-reserve First Nations people (OR = 2.03; CI: 1.87 to 2.21), compared with the non-Aboriginal cohort. For asthma hospitalizations, adjustment for household income reduced the odds more than did adjustment for housing conditions. Even with full adjustment, the odds of asthma hospitalization relative to non-Aboriginal people remained significantly higher for First Nations people. Interpretation: First Nations people are significantly more likely than non-Aboriginal people to be hospitalized for respiratory tract infections and asthma, even when housing conditions, household income and residential location are taken into account. While housing conditions are associated with such hospitalizations, household income may be more important. [ABSTRACT FROM AUTHOR]

Background: Refugees arrive in Canada with settlement challenges different from those faced by other immigrants, including a higher risk of poor health. This study reports hospitalization rates for the three fiscal years from 2006/2007 through 2008/2009 for immigrants who arrived during the 1980-to-2006 period, with a focus on three refugee groups. Methods: Information from two linked databases was used to estimate age-standardized hospitalization rates (ASHRs) per 10,000 population aged 30 or older for all causes (excluding pregnancy) and for leading causes, by immigrant category and by refugee subcategory. The analysis focused on refugees from Poland, Vietnam and the Middle East, whose hospitalization rates were compared with those of the Canadian-born population and/or economic class immigrants from the same source areas. Results: Immigrants aged 30 or older, including refugees, had significantly lower all-cause ASHRs than did the Canadian-born population. All-cause ASHRs were 470 per 10,000 for immigrants overall and 494 for refugees, compared with 891 for the Canadian-born. Of the three source areas, immigrants and refugees from Vietnam had lower ASHRs. The circulatory disease-specific ASHR for government-assisted refugees from the Middle East was similar to that of the Canadian-born population (142 and 158, respectively). Except for those from Poland, refugees typically had higher ASHRs than did their economic class counterparts. Interpretation: Refugees, like other immigrants, generally had lower hospitalization rates than did the Canadian-born population, but some subgroups were particularly susceptible to hospitalization for specific chronic diseases. [ABSTRACT FROM AUTHOR]

Background: This study summarizes the linkage of the Canadian Community Health Survey (CCHS) and the Canadian Mortality Database (CMDB), which was performed to examine relationships between social determinants, health behaviours and mortality in the household population. Data and methods: The 2000/2001-to-2011 Canadian Community Health Surveys were linked to the 2000-to-2011 CMDB using probabilistic methods based on common identifiers (names, date of birth, postal code and sex) for eligible respondents (85%; n = 614,774). Mortality records from January 1, 2000 through December 31, 2011 for people aged 12 or older were eligible for linkage (n = 2.774 million). The linkage was enhanced with information from the Historical Tax Summary File. Quality assessment consisted of internal and external validation. Cox survival analysis (age-adjusted) was conducted to estimate hazard ratios (HRs) associated with selected health behaviours. Results: Overall, 5.3% of eligible CCHS respondents linked to a mortality record; false positive and false negative rates were 0.04% and 2.43%, respectively. Linkage rates were higher among males (5.8%) and people aged 75 or older (20.2%), reflecting known mortality risks. Survival analyses confirmed elevated mortality risk associated with heavy (HR 2.36, CI 1.84, 2.89) and light smoking (HR 1.91, CI 1.52, 2.33), compared with not smoking; underweight and obesity, compared with normal and overweight; low fruit and vegetable consumption; and lack of physical activity. Interpretation: Linking health behaviour information from the CCHS to mortality data from the CMDB allows for a greater understanding of modifiable determinants of mortality. [ABSTRACT FROM AUTHOR]

Background: Although immigrants tend to be healthier than the Canadian-born population when they arrive, subgroups, notably different immigration categories, may differ in health and health care use. Data limitations have meant the research has seldom focused on category of immigrant-economic, family or refugee. A newly linked database has made it possible to study acute care hospitalization by immigration category and source region. Data and methods: The Immigrant Landing File-Hospital Discharge Abstract Linked Database (n = 2.6 million) was used to derive sex-specific crude and age-standardized hospitalization rates (ASHRs) per 10,000 population for all-cause and leading causes of hospitalization during the 2006/2007-to-2008/2009 period. Results: Economic class immigrants had lower all-cause ASHRs than did their family class or refugee counterparts. Male refugees had high ASHRs overall and for circulatory diseases, digestive diseases, injury, and cancer. Female differences by immigrant class were less pronounced. All-cause ASHRs (excluding pregnancy) rose with years since arrival in Canada for male and female immigrants. Immigrants from East Asia had the lowest ASHRs; those from the United States, the highest. Interpretation: Although hospital use is an imperfect indicator of health status, this study supports an initial healthy immigrant effect and its subsequent decline. Marked differences emerged among immigrant subgroups with some, notably refugees and immigrants from the United States, having significantly higher hospitalization rates overall and for leading causes, compared with other groups. [ABSTRACT FROM AUTHOR]

Background: National data about acute care hospitalization of Aboriginal people are scarce. This study addresses that information gap by describing patterns of hospitalization by Aboriginal identity for leading diagnoses for all provinces and territories except Quebec. Data and methods: The 2006 Census was linked to the 2006/2007-to-2008/2009 Discharge Abstract Database, which contains hospital records from all acute care facilities in Canada (excluding Quebec). With these linked data, hospital records could be examined by Aboriginal identity, as reported to the census. Hospitalizations were grouped by International Classification of Diseases (ICD-10) chapters based on "the most responsible diagnosis." Age-standardized hospitalization rates were calculated per 100,000 population, and rate ratios (RR) were calculated for Aboriginal groups relative to non-Aboriginal people. Results: Hospitalization rates were almost invariably higher for First Nations living on and off reserve, Métis, and Inuit living in Inuit Nunangat than for the non-Aboriginal population, regardless of ICD diagnostic chapter. The ranking of age-standardized hospitalization rates by frequency of diagnoses varied slightly by Aboriginal identity. RRs were highest among First Nations living on reserve, especially for endocrine, nutritional and metabolic diseases (RR = 4.9), mental and behavioural disorders (RR = 3.6), diseases of the respiratory system (RR = 3.3), and injuries (RR = 3.2). As well, the rate for endocrine, nutritional and metabolic diseases was high among First Nations living off reserve (RR = 2.7). RRs were also high among Inuit for mental and behavioural disorders (RR = 3.3) and for diseases of the respiratory system (RR = 2.7). Interpretation: Hospitalization rates varied by Aboriginal identity, and were consistent with recognized health disparities between Aboriginal and non-Aboriginal people. Because many factors besides health affect hospital use, further research is required to understand differences in hospital use by Aboriginal identity. These national data are relevant to health policy formulation and service delivery planning. [ABSTRACT FROM AUTHOR]

Background: Approximately one-third of Canadians' prescription medication costs are paid directly out-of-pocket. This study attempts to determine if out-of-pocket expenditures of more than 5% of household income on drugs and pharmaceutical products are associated with cost-related prescription non-adherence among people with cardiovascular-related chronic conditions. Methods: The data are from the survey on Barriers to Care for People with Chronic Health Conditions. Three categories of out-of-pocket spending on drugs and pharmaceutical products as a percentage of household income were identified: 0%, more than 0% to less than 5%, and 5% or more. Log-binomial regression was used to examine associations between category of out-of-pocket spending and cost-related prescription non-adherence. Results: In 2012, about 80% of people aged 40 or older who lived in British Columbia, Alberta, Saskatchewan or Manitoba and had cardiovascular-related chronic conditions reported out-of-pocket spending on drugs and pharmaceutical products; 4.8% reported out-of-pocket spending of at least 5% of their household income. These individuals were significantly older, more often lived in households with incomes less than $30,000, and more often reported multiple morbidities than did people whose out-of-pocket spending on drugs and pharmaceutical products was less than 5% of household income. When the results were adjusted for age and sex, people whose spending amounted to 5% or more of household income were almost three times as likely (prevalence ratio rate = 2.6) to report cost-related prescription non-adherence than were those spending less than 5%. Interpretation: Spending at least 5% of household income on drugs and pharmaceutical products was significantly associated with cost-related prescription non-adherence. Additional data are required to determine if even lower levels of spending put individuals at risk of cost-related non-adherence. [ABSTRACT FROM AUTHOR]

Background: Immigrants tend to have better health than the Canadian-born. However, the "healthy immigrant" effect diminishes over time and varies by source country. This study examines whether lower hospitalization rates persist from the first (G1) to the second generation (G2) of immigrants, compared with other Canadians (G3+). All-cause and circulatory disease-related hospitalization rates were examined by generation, with special attention to people of Chinese and South Asian descent. Data and methods: Data from the 2006 Census-hospitalization linkage database (which excludes Quebec) were analysed using logistic regression. Age-standardized all-cause (excluding pregnancy) and circulatory disease-related hospitalization rates were derived for the urban population aged 30 or older for the 2006/2007 to 2008/2009 fiscal years. Results: Over the generations, immigrants' all-cause and circulatory disease-related hospitalization rates converged with those of the Canadian population overall. Compared with G3+, the age-adjusted odds of all-cause hospitalization among men were 0.49 (CI = 0.48-0.51) for recent G1 immigrants, 0.78 (CI = 0.77-0.79) for long-term G1 immigrants, and 0.95 (CI = 0.94-0.97) for G2. Adjustments for socioeconomic status reduced the difference, especially between G2 and G3+. For South Asians, rates converged for circulatory disease, notably among men. Hospitalization rates for people of Chinese descent rose across generations, but remained significantly below rates for G3+. Interpretation: The lower circulatory disease-related hospitalization risk experienced by G1 is maintained in G2 among people of Chinese descent, but not among South Asians. [ABSTRACT FROM AUTHOR]

Background: Record linkage is commonly used in health research to fill data gaps. This study summarizes the linkage of the 2006 Census of Population (excluding Quebec) to hospital data from the Discharge Abstract Database (DAD). Data and methods: Hierarchical deterministic exact matching was employed to link 2006 Census and DAD (2006/2007, 2007/2008 and 2008/2009) data, based on linkage keys derived from three variables common to both files--date of birth, postal code and sex. The full census file (short-form; 23.4 million) was used for record linkage; the 20% file (long-form; 4.65 million) representing the study cohort was used for validation. Linked files were compared across jurisdictions, years and other selected covariates in terms of eligibility for linkage, keys linked, and linkage and coverage rates. Results: Overall, 80% of linkage keys identified in the DAD were linked to the 2006 Census. The percentage of long-form census respondents linked to at least one hospital record ranged between 5% and 8% across jurisdictions; linkage rates were higher among known high users of hospital services: older age groups, lower-income individuals, and Aboriginal people. In general, the linked census file represents the majority of hospital events that occurred during the study period. Coverage rates (weighted/unweighted) varied by geography and age group, with lower weighted rates for the territories and some younger age groups. Interpretation: With hierarchical deterministic exact matching, census data can be linked to multiple years of DAD data. Incorporation of updated postal codes from tax files reduced linkage rate attrition over time. Lower coverage rates for the territories and younger age groups suggest that these populations may be underrepresented in the linked files. [ABSTRACT FROM AUTHOR]

Background: Linking cancer registry and administrative data can reveal health care use patterns among cancer patients. The Canadian Cancer Registry (CCR) contains personal health insurance numbers (HINs) that facilitate linkage to hospitalization information in the Discharge Abstract Database (DAD). Data and methods: Valid HINs, captured in the CCR or obtained through probabilistic linkages to provincial health insurance registries, were used to deterministically link prostate, female breast, colorectal and lung cancers diagnosed from 2005 through 2008 with the DAD for iscal years 2004/2005 to 2010/2011. Results: At least 98% of tumours diagnosed from 2005 through 2008 had valid HINs in the CCR or obtained through probabilistic linkages. For provinces submitting day surgeries to the DAD, linkage rates to at least one DAD record were higher for female breast (95.6% to 98.1%), colorectal (96.9% to 98.7%) and lung cancers (92.8% to 96.3%) than for prostate cancers (77.2% to 91.6%). Among linked records, agreement was high for sex (99% or more) and complete date of birth (97% or more); the likelihood of a consistent diagnosis in the CCR and on at least one linked DAD record was higher for female breast (86.8% to 97.2%), colorectal (94.6% to 97.7%) and lung cancers (90.3% to 95.5%) than for prostate cancers (77.4% to 87.8%). Interpretation: Deterministically linking the CCR and DAD using personal HINs is a feasible and valid approach to obtaining hospitalization information about cancer patients. [ABSTRACT FROM AUTHOR]

Background This study compares registry and non-registry approaches to linking 2006 Census of Population data for Manitoba and Ontario to hospital data from the Discharge Abstract Database (DAD). Data and methods Using a probabilistic linkage, the registry approach linked the census data to provincial health insurance registries, followed by a deterministic linkage to the DAD based on health insurance number (HIN). The non-registry approach used hierarchical deterministic exact matching based on three variables common to both files to link census data to the DAD. The approaches were compared in terms of linkage and coverage rates, sensitivity and specificity, and consistency of HINs on the linked records. Results Results of the registry and non-registry linkage approaches were similar. In Manitoba, 7% and 6% of census long-form respondents linked to the DAD with the registry and non-registry linkage approaches, respectively; in Ontario, the linkage rate was 5% for both approaches. With the registry approach, the linked census-DAD data represented 84% (weighted) of hospital admissions in the 2006/2007 DAD in both provinces, compared with 82% in Manitoba and in Ontario with the non-registry approach. Interpretation In the absence of access to provincial health insurance registries with which census data can be linked, a non-registry approach can be used to create a research-quality dataset. [ABSTRACT FROM AUTHOR]

Background Seniors constitute the largest group of hospital users. The increasing share of immigrants in Canada's senior population can affect the demand for hospital care. Data and methods This study used the linked 2006 Census-Hospital Discharge Abstract Database to examine hospitalization during the 2004-to-2006 period, by immigrant status, of Ontario seniors living in community. Hospitalization was assessed with logistic regressions; cumulative length of stay, with zero-truncated negative binomial regressions. All-cause hospitalization and hospitalizations specific to circulatory and digestive diseases were examined. Results Immigrant seniors had significantly low age-/sex-adjusted odds of hospitalization, compared with Canadian-born seniors (OR = 0.81). The odds varied from 0.4 among East Asians to 0.89 among Europeans, and rose with length of time since arrival from 0.54 for recent (1994 to 2003) to 0.86 for long-term (before 1984) immigrants. Adjustment for demographic and socio-economic characteristics did not change the overall patterns. Immigrants' cumulative length of hospital stay tended to be shorter than or similar to that of Canadian-born seniors. Interpretation Immigrant seniors, especially recent arrivals, had lower odds of hospitalization and similar time in hospital, compared with Canadian-born seniors. These patterns likely reflect differences in health status. Variations by world region and disease reflect the diverse health care needs of immigrant seniors. [ABSTRACT FROM AUTHOR]

Background The time between symptom onset and physician diagnosis is a period when people with osteoarthritis can make lifestyle changes to reduce pain, improve function and delay disability. Data and methods This study analyses data for a nationally representative sample of 4,565 Canadians aged 20 or older who responded to the Arthritis component of the 2009 Survey on Living with Chronic Diseases in Canada. Descriptive statistics are used to report the prevalence of hip and knee osteoarthritis; the mean age of symptom onset and diagnosis; medication use; and contacts with health professionals during the previous year. Results Among people with a physician diagnosis of arthritis, 37% reported osteoarthritis. Of these, 70% experienced pain in the hip(s), knee(s), or hip(s) and knee(s). Close to half (48%) of these people experienced symptoms the same year they were diagnosed; 42% experienced symptoms at least a year before the diagnosis; and 10% experienced symptoms after the diagnosis. Among those who had symptoms before diagnosis, the average time between symptom onset and diagnosis was 7.7 years. Interpretation Individuals with osteoarthritis may experience symptoms for several years before they obtain a physician diagnosis. [ABSTRACT FROM AUTHOR]

Based on data from the 2007 to 2009 and 2009 to 2011 Canadian Health Measures Survey, this article provides national information about prescription medication use among community-dwelling Canadians. An estimated 41% of 6- to 79-year-olds who lived in private households reported taking at least one prescription medication in the past two days (current use). Generally, prescription drug use was higher among females and among people in poorer health, and increased with age. Approximately 11% of 45- to 64-year-olds and 30% of seniors aged 65 to 79 took at least five prescription medications concurrently. For adults aged 25 to 79, the leading prescription medication classes were lipid-lowering agents, ACE-inhibitors, peptic-ulcer and acid-reducers, beta-blockers (men), other analgesics and anti-pyretics (men), anti-depressants (women) and thyroid medication (women). Among children and young adults aged 6 to 24, the leading prescription medications were for attention deficit and hyperactivity disorder (males), depression, and hormonal contraception (females). [ABSTRACT FROM AUTHOR]

Background People with chronic conditions who do not achieve therapeutic targets have a higher risk of adverse health outcomes. Failure to meet these targets may be due to a variety of barriers. This article examines self-reported financial barriers to health care among people with cardiovascular-related chronic conditions. Data and methods A population-based survey was administered to western Canadians with cardiovascular-related chronic conditions (n = 1,849). Associations between self-reported financial barriers and statin use, the likelihood of stopping use of prescribed medications, and emergency department visits or hospitalizations were assessed. Results More than 10% respondents reported general financial barriers (12%) and lack of drug insurance (14%); 4% reported financial barriers to accessing medications. Emergency department visits or hospitalizations were 70% more likely among those reporting a general financial barrier. Those reporting a financial barrier to medications were 50% less likely to take statins and three times more likely to stop using prescribed medications. Individuals without drug insurance were nearly 30% less likely to take statins. Interpretation In this population, self-reported financial barriers were associated with lower than recommended medication use and increased likelihood of emergency department visits or hospitalization. [ABSTRACT FROM AUTHOR]

Background: This analysis explores barriers to the receipt of health care from a primary care physician for management of chronic conditions. Data and methods: A population-based survey was administered to adults in Manitoba, Saskatchewan, Alberta and British Columbia who had hypertension, diabetes, heart disease and/or stroke (n = 1,849). Associations between socio-demographic factors and barriers to receipt of primary care were identified. Results: Most respondents with chronic conditions required care from a primary care physician in the past year and had no difficulty receiving it; about 10% reported a barrier. Barriers were most commonly reported by respondents with diabetes (16%) and were related to initiation of care or waiting too long to get care. Interpretation: A small percentage of adults with chronic conditions reported barriers to receiving care from a primary care physician [ABSTRACT FROM AUTHOR]

Background: Canadian households are spending an increasing share of their household income on health care not covered by public plans. This study investigates trends in out-of-pocket expenditures for health care services and products by household income quintile from 1997 to 2009. Data and methods: Biennial estimates from the Survey of Household Spending between 1997 and 2009 were used to examine changes in out-of-pocket health care expenditures by household income quintile. The statistical significance of these changes was assessed using linear and logistic regression. Results: In 2009, the percentage of after-tax household income spent on health care among low-income households (5.7%) was nearly twice that of highincome households (2.6%). Approximately 40% of households in the two lowest income quintiles spent more than 5% of their total after-tax income on health care services, compared with 14% of households in the highest income quintile. The increase in spending between 1997 and 2009 was greatest for households in the lowest income quintile (63%). Interpretation: Out-of-pocket health care expenditures have increased for households in all income quintiles, but the relative increase was greatest among households in lower income quintiles. [ABSTRACT FROM AUTHOR]

Background This study validates cut-points for a frailty index (FI) to identify seniors at risk of a hospital-related event and estimates the number of frail seniors living in the community. The FI developed by Rockwood and Mitnitski defines levels of frailty based on scores of 0 to 1.0. Data and methods The cut-point validation was conducted using Stratum-Specific Likelihood Ratios applied to combined 2003 and 2005 Canadian Community Health Survey (CCHS) data, linked to hospital records from the Discharge Abstract Database (2002 to 2007). Based on the validated cut-points, frailty prevalence was estimated using 2009/2010 CCHS data. Results Seniors scoring more than 0.21 on the FI were considered to be at elevated risk of hospital-related events. Four additional frailty levels were identified: non-frail (0 to ⩽0.1), pre-frail (>0.1 to ⩽0.21), more frail (>0.30 to ⩽0.35) (women only), and most frail (frail-group subset) (0.45 or more). The number of community-dwelling seniors considered to be frail was estimated at about 1 million (24%) in 2009/2010; another 1.4 million (32%) could be considered pre-frail. Frailty prevalence rose with age; was higher among women than among men; and varied by geographic location. Interpretation A cut-point of more than 0.21 can be used to identify frail seniors living in the community. [ABSTRACT FROM AUTHOR]

Background Statistics Canada has initiated a series of data linkages of Census of Population long form and health outcome data. These linked data lack risk factor information. This study assesses the feasibility of using statistical modelling techniques to assign smoking status to census respondents. Data and methods The 2000/2001 Canadian Community Health Survey (CCHS) was used to develop age-/ sex-specific predictive models to model smoking status based on variables available on the 1991 Census. The 2002/2003 CCHS was used to validate the modelled variable. Data from the 2002/2003 CCHS linked to data from the Hospital Morbidity Database (2001/2002 to 2004/2005) were used to evaluate the use of modelled versus self-reported smoking status on smoking-related hospitalizations. Results For the current daily smoker models, income, education, marital status, dwelling ownership and region of birth were significant predictors. For the never smoker models, marital status, dwelling ownership, Aboriginal identity and region of birth were significant predictors. Modelled current daily smoker status was associated with increased odds of smoking-related hospitalization, compared with being a never smoker, even when adjusting for covariates. Interpretation This study demonstrates the feasibility of using statistical modelling techniques to assign smoking status to census data, provided socio-economic and identity information is available. [ABSTRACT FROM AUTHOR]

Background Hospital records lack information about country of birth. This study describes a method for calculating hospitalization rates by the percentage of foreign-born in Census Dissemination Areas (DAs). Data and methods Data from the 2006 Census were used to classify DAs by the percentage of the foreignborn population who lived in them. Quintile and tercile thresholds were created to classify DAs as having low to high percentages of foreign-born residents. This information was appended to the 2005/2006 Hospital Morbidity Database via postal codes. Age-sex standardized hospitalization rates were calculated for low to high foreign-born concentration DAs, nationally and subnationally. Results Nationally, quintile thresholds had better discriminatory power to detect variations in hospitalization rates by foreign-born concentration, but tercile thresholds produced reliable results at subnational levels. All-cause hospitalization rates were lowest among residents of the high foreignborn concentration terciles. Similar gradients emerged in hospitalization rates for heart disease, diseases of the circulatory system, and mental health conditions. The pattern varied more at the subnational level. Interpretation With this approach, administrative data can be used to calculate hospitalization rates by foreignborn concentration. [ABSTRACT FROM AUTHOR]

Background Accumulating evidence points to overall improvements in health-related quality of life after joint replacement for osteoarthritis. Some patients, however, do not appear to benefit from joint replacement. This study investigates health outcomes of patients who underwent hip or knee replacement surgery. Methods Linked survey and administrative data were used to compare the health-related quality of life of individuals who underwent surgery (surgical group) with that of their contemporaries who did not (comparison group), adjusting for other determinants of health. Weighted multivariate linear regression analyses were conducted. Results When the results were adjusted for other covariates known to be associated with health, the surgical group reported lower functional health (post-operative) than did the comparison group. Differences ranged from 6% lower functional health among hip replacement patients diagnosed with osteoarthritis to 21% lower functional health for those with hip fractures. Among surgical patients with osteoarthritis, co-morbid conditions and being underweight were associated with lower post-operative functional health. Interpretation This study is a unique application of linked data to the study of health outcomes of joint replacement at the population level. Outcomes of joint replacement differed by the initial diagnosis or reason for the surgery. For patients with osteoarthritis, poorer post-operative health outcomes were associated with co-morbidites and with being underweight. [ABSTRACT FROM AUTHOR]

Background Waiting for specialist consultations can represent a substantial component of overall waiting time in the continuum of care. However, relatively little is known about the factors associated with how long patients wait for an initial specialist consultation. Data and methods The analysis is based on a subsample of 5,515 respondents aged 15 or older to the 2007 Canadian Community Health Survey who had consulted a specialist about a new condition in the previous 12 months and reported a waiting time. Multivariate logistic regression models were used to identify patient- and provider-related factors associated with waiting time. Results Female patients were less likely than male patients to see a specialist within a month. The nature of the new condition and the source of referral were significantly associated with waiting time. Compared with those referred by a family physician, patients referred by another specialist or a health care provider other than a physician, or who did not require a referral, were more likely to have a shorter waiting time. For men, but not women, household income and immigrant status were associated with waiting time. Interpretation This analysis suggests that factors beyond medical need are associated with how long patients wait to see a specialist. More research could usefully explore decision-making and communication processes between primary care physicians and specialists to better understand how urgency is assessed, how patients are triaged for specialist consultations, and how these patterns differ among various groups of patients. [ABSTRACT FROM AUTHOR]

In 2005, an estimated 1.3 million Canadians aged 12 or older (4.9% of the population of these ages) reported to the Canadian Community Health Survey (CCHS) that they had been diagnosed with diabetes. The Canadian Diabetes Association has published Clinical Practice Guidelines for the Prevention and Management of Diabetes in Canada, which recommend the type of care that should be provided to individuals with diabetes. According to the CCHS, and based on data from six of the provinces/territories (Newfoundland and Labrador, Prince Edward Island, New Brunswick, Ontario, Manitoba and Yukon Territory), almost three-quarters of diabetic respondents aged 18 or older reported having had their hemoglobin A1C checked by a health care professional at least once in the year before the survey, and those who had had the test were close to meeting the recommended frequency of every three months. The majority of diabetic respondents were also meeting the recommendation for eye examinations, but only half had the recommended annual foot examinations. Half the diabetic population reported that they or a family member had checked their glucose level every day. [ABSTRACT FROM AUTHOR]

Examines trends in self-reported unmet health care needs among household populations in Canada. Data from the Canadian Community Health Survey from September 2000 through February 2001; Level of access to health care; Rate of unmet health care needs.

Background: National health surveys linked to vital statistics and health care information provide a growing source of individual-level population health data. Pooling linked surveys across jurisdictions would create comprehensive datasets that are larger than most existing cohort studies, and that have a unique international and population perspective. This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies., Data and Methods: The design, methodologies and content of the Canadian Community Health Survey (2003 to 2008), the United States National Health Interview Survey (2000, 2005) and the Scottish Health Survey (SHeS) (2003, 2008 to 2010) were examined for comparability and consistency. The feasibility of creating common variables for measuring smoking, alcohol consumption, physical activity and diet was assessed. Sample size and estimated mortality events were collected., Results: The surveys have comparable purposes, designs, sampling and administration methodologies, target populations, exclusions, and content. Similar health behaviour questions allow for comparable variables to be created across the surveys. However, the SHeS uses a more detailed risk factor evaluation for alcohol consumption and diet data. Therefore, comparisons of alcohol consumption and diet data between the SHeS and the other two surveys should be performed with caution. Pooling these linked surveys would create a dataset with over 350,000 participants, 28,424 deaths and over 2.4 million person-years of follow-up., Discussion: Pooling linked national population health surveys could improve population health research and surveillance. Innovative methodologies must be used to account for survey dissimilarities, and further discussion is needed on how to best access and analyze data across jurisdictions.