Consistency Between Administrative Health Records and Self-Reported Health Status and Health Care Use Among Indigenous Wayuu Health Insurance Enrollees: La Guajira, Colombia.

The objective of the study was to assess the consistency between self-reported demographic characteristics, health conditions, and healthcare use, and administrative healthcare records, in a sample of enrollees of an Indigenous health organization in Colombia. We conducted a phone survey of a random sample of 2113 enrollees September-2020/February-2021. Administrative health records were obtained for the sample. Using ICD-10 diagnostic codes, we identified individuals who had healthcare visits for diabetes, hypertension, and/or pregnancy. Using unique identifiers, we linked their survey data to the administrative dataset. Agreement percentages and Cohen's Kappa coefficients were calculated. Logistic regressions were performed for each health condition/state. Results showed high degree of agreement between data sources for sex and age, similar rates for diabetes and hypertension, 10% variation for pregnancy. Kappa statistics were in the moderate range. Age was significantly associated with agreement between data sources. Sex, language, and self-rated health were significant for diabetes. This is the first study with data from an Indigenous population assessing the consistency between self-reported data and administrative health records. Survey and administrative data produced similar results, suggesting that Anas Wauu can be confident in using their data for planning and research purposes, as part of the movement toward data sovereignty.

Geographic Comparison of Dietary Intake and Quality in Manitoba Adolescents.

Purpose: The Food and Nutrition for Manitoba Youth (FANS) study examined dietary intakes, food behaviours, food security status, health indicators, and body mass index of a cohort of grade 9 students. This paper describes regional differences and similarities in dietary intake (food and nutrients) and quality of youth participants in the FANS study.Methods: Grade 9 students completed a web-based survey on dietary intakes (24-hour recall), food behaviours, self-reported health indicators, and sociodemographic variables. Nutrient intakes were compared with national guidelines and diet quality was assessed using a modified Healthy Eating Index.Results: A total of 1587 students participated from northern, rural, and urban regions in Manitoba. Northern and rural students had higher intakes of sugar, sodium, and saturated fat compared with urban. Northern students consumed fewer grain products compared to urban, and more servings of "other" foods compared with rural and urban. While most participants were classified into the "needs improvement" or "poor" Healthy Eating Index categories, significantly more northern participants were in the "poor" category.Conclusions: Most adolescents in the study are at nutritional risk; however, there are additional vulnerabilities for those in rural and northern communities. Dietitians can use results to advocate for and plan interventions to improve adolescent nutrition.

Food Behaviours and Health Indicators in Manitoba Adolescents and Relation to the Healthy Eating Index.

Adolescence is a vital period of growth and development, both of which are dependent on adequate nutrition; however, concerns persist about poor nutrition and inappropriate food behaviours. In addition to nutrition assessment, the context of food and health behaviour is necessary to understand how dietary choices are shaped and related to diet quality. This study describes food-related behaviours and health indicators associated with dietary quality among adolescents in Manitoba, Canada. A stratified two-stage sampling method was used to collect data on the diet, food behaviours and health indicators of 1587 grade nine students. Diet quality was analysed using the Healthy Eating Index-Canada. Several food behaviours and health indicators varied by gender and school region (urban, rural, northern). The Independent Samples t-test and one-way ANOVA (analysis of variance) assessed differences between groups on the Healthy Eating Index-Canada. Higher Healthy Eating Index-Canada scores were found for those eating family dinners more frequently; consuming breakfast and lunch more frequently; consuming breakfast at home; eating lunch and morning snacks at school; purchasing fewer meals and snacks from cafeterias and vending machines; believing that food and nutrition education is important; not attempting to lose weight; being classified as 'healthy weight'; and getting more sleep. Many Manitoba youth are exhibiting food and health behaviours that increase their risk of having a poor diet.

Food insecurity, nutrition insecurity, and self-reported health among newcomer Manitoba youth: A cross-sectional study.

Many youth in Manitoba are not food secure. Newcomer youth may be more vulnerable to food insecurity. Further, it has been suggested that being food secure does not ensure a nutritionally adequate diet. This study examined survey data from 1,347 grade nine students to describe and compare food security by newcomer status. Survey data were also used to compare the dietary intakes, eating behaviors, and self-reported health of newcomer youth by food security status. Food security status between newcomer and non-newcomer youth was not significantly different, however, being food secure was not enough to have optimal nutritional health and well-being.

The Food and Nutrition Security for Manitoba Youth (FANS) study: rationale, methods, dietary intakes and body mass index.

BACKGROUND: Good nutrition and access to healthy foods are essential for child growth and development. However, there are concerns that Canadian children do not have a healthy diet, which may be related to dietary choices as well as lack of access to healthy foods. The FANS (Food and Nutrition Security for Children and Youth) study examined the nutrition and food security status of youth in the province of Manitoba, Canada. This paper describes methods, dietary intakes, and body mass index for the FANS study.  METHODS: This cross-sectional study included 1587 Manitoba grade nine students who completed a self-administered web-based survey. Data was collected on demographic characteristics, dietary intake (24-h recall), food behaviors, food security, and self-report health indicators. Dietary data was compared to national dietary guidelines (Dietary Reference Intakes and Canada's Food Guide). Mean and median nutrient and food group intakes were calculated with corresponding measures of variability. Chi-square tests compared percentage of respondents not meeting key nutrients and food groups. Significant differences in percentage of total servings for each food group were determined by a Kruskal-Wallis test, and differences between different caloric groups were assessed using Dunn's test for post-hoc comparisons.  RESULTS: Half of study respondents were female (50.5%). Median energy intake was higher in males (2281 kcal) compared with females (1662 kcal), with macronutrient distribution of 52%, 16%, and 32% for carbohydrates, protein, and fats respectively. Most participants consumed inadequate fibre (94%), vitamin D (90%), and calcium (73%), while median sodium intakes exceeded recommendations for males but not females. A majority of participants did not meet Health Canada's recommendations for food group servings: Vegetables and Fruit (93%), Milk and Alternatives (74%), Meat and Alternatives (57%) and Grain Products (43%). Other Foods, including sugar sweetened beverages and juice, were consumed by most participants. Higher energy consumers had a greater proportion of food servings coming from Other Foods. 72.1% of students were classified as having a healthy weight and 25% were classified as overweight or obese. CONCLUSION: Poor dietary intakes and body mass index values indicate an urgent need for policy and program strategies to support healthy eating habits and food awareness in Manitoba youth.

Characterising methamphetamine use to inform health and social policies in Manitoba, Canada: a protocol for a retrospective cohort study using linked administrative data.

INTRODUCTION: Rising use of methamphetamine is causing significant public health concern in Canada. The biological and behavioural effects of methamphetamine range from wakefulness, vigour and euphoria to adverse physical health outcomes like myocardial infarction, haemorrhagic stroke, arrhythmia and seizure. It can also cause severe psychological complications such as psychosis. National survey data point to increasing rates of methamphetamine use, as well as increasing ease of access and serious methamphetamine-related harms. There is an urgent need for evidence to address knowledge gaps, provide direction to harm reduction and treatment efforts and inform health and social policies for people using methamphetamine. This protocol describes a study that aims to address this need for evidence. METHODS: The study will use linked, whole population, de-identified administrative data from the Manitoba Population Research Data Repository. The cohort will include individuals in the city of Winnipeg, Manitoba, who came into contact with the health system for reasons related to methamphetamine use from 2013 to 2021 and a comparison group matched on age, sex and geography. We will describe the cohort's sociodemographic characteristics, calculate incidence and prevalence of mental disorders associated with methamphetamine use and examine rates of health and social service use. We will evaluate the use of olanzapine pharmacotherapy in reducing adverse emergency department outcomes. In partnership with Indigenous co-investigators, outcomes will be stratified by First Nations and Métis identity. ETHICS AND DISSEMINATION: The study was approved by the University of Manitoba Health Research Ethics Board, and access datasets have been granted by all data providers. We also received approval from the First Nations Health and Social Secretariat of Manitoba's Health Information Research Governance Committee and the Manitoba Métis Federation. Dissemination will be guided by an 'Evidence 2 Action' group of public rightsholders, service providers and knowledge users who will ensure that the analyses address the critical issues.

Provincial variations in birth outcomes according to maternal country of birth, 2000 to 2016.

BACKGROUND: International migration is the main source of population growth in Canada. Research on the birth outcomes of immigrants has largely been based on Canadian provincial data, raising concerns about whether the findings can be generalized between provinces or between the provinces and Canada. Provincial time trends and variations in birth outcomes are described according to the 20 top maternal birthplaces. DATA AND METHODS: Statistics Canada's Vital Statistics-Birth Database (2000 to 2016) was used to extract 5,831,580 records on live births for analyses. Rates of preterm birth (PTB, referring to births at 22 to 36 gestation weeks) and mean birth weight (at 39 to 40 gestation weeks) were compared across provinces between immigrant mothers, according to the top 20 maternal birthplaces, and Canadian-born mothers. RESULTS: The proportion of births to immigrant mothers rose overall from 23.7% in 2000 to 30.7% in 2016, but rose unevenly across the provinces. Increases were modest in British Columbia and Ontario; twofold in Alberta, Manitoba and Quebec; and fourfold in Saskatchewan. Compared with PTB rates among Canadian-born mothers, PTB rates were lower among various Asian, African and Western immigrant groups and higher among those from Bangladesh, the Philippines and the Caribbean. Lower birth weights were seen for most source countries, except the United States. These differences were uniform across the provinces, with a few exceptions. DISCUSSION: There were large provincial variations in the proportion of births to immigrant mothers. However, disparities in birth outcomes did not substantially vary across provinces for most immigrant maternal birthplaces, suggesting some degree of generalizability for provincial birth data.

Public housing and healthcare use: an investigation using linked administrative data.

OBJECTIVE: This study investigated whether a move to public housing affects people's use of healthcare services. METHOD: Using administrative data from Manitoba, the number of hospitalizations, general practitioner (GP), specialist and emergency department (ED) visits, and prescription drugs dispensed in the years before and after the housing move-in date (2012/2013) were measured for a public housing and matched cohort. Generalized linear models with generalized estimating equations tested for differences between the cohorts in utilization trends. The data were modeled using Poisson (rate ratio, RR), negative binomial (incident rate ratio, IRR), and binomial (odds ratio, OR) distributions. RESULTS: GP visits (IRR = 1.04, 95% CI 1.01-1.06) and prescriptions (IRR = 1.04, 95% CI 1.02-1.05) increased, while ED visits (RR = 0.90, 95% CI 0.82-1.00) and hospitalizations (OR = 0.95, 95% CI 0.93-0.96) decreased over time. The public housing cohort had a significantly higher rate of GP visits (IRR = 1.08, 95% CI 1.04-1.13), ED visits (RR = 1.18, 95% CI 1.01-1.37), and prescriptions (IRR = 1.09, 95% CI 1.05-1.13), and was more likely to be hospitalized (OR = 1.39, 95% CI 1.21-1.61) compared to the matched cohort. The rate of inpatient days significantly decreased for the public housing cohort, but did not change for the matched cohort. CONCLUSION: Healthcare use changed similarly over time (except inpatient days) for the two cohorts. Public housing provides a basic need to a population who has a high burden of disease and who may not be able to obtain and maintain housing in the private market.

Changes in healthcare use among individuals who move into public housing: a population-based investigation.

BACKGROUND: Residence in public housing, a subsidized and managed government program, may affect health and healthcare utilization. We compared healthcare use in the year before individuals moved into public housing with usage during their first year of tenancy. We also described trends in use. METHODS: We used linked population-based administrative data housed in the Population Research Data Repository at the Manitoba Centre for Health Policy. The cohort consisted of individuals who moved into public housing in 2009 and 2010. We counted the number of hospitalizations, general practitioner (GP) visits, specialist visits, emergency department visits, and prescriptions drugs dispensed in the twelve 30-day intervals (i.e., months) immediately preceding and following the public housing move-in date. Generalized linear models with generalized estimating equations tested for a period (pre/post-move-in) by month interaction. Odds ratios (ORs), incident rate ratios (IRRs), and means are reported along with 95% confidence intervals (95% CIs). RESULTS: The cohort included 1942 individuals; the majority were female (73.4%) who lived in low income areas and received government assistance (68.1%). On average, the cohort had more than four health conditions. Over the 24 30-day intervals, the percentage of the cohort that visited a GP, specialist, and an emergency department ranged between 37.0% and 43.0%, 10.0% and 14.0%, and 6.0% and 10.0%, respectively, while the percentage of the cohort hospitalized ranged from 1.0% to 5.0%. Generally, these percentages were highest in the few months before the move-in date and lowest in the few months after the move-in date. The period by month interaction was statistically significant for hospitalizations, GP visits, and prescription drug use. The average change in the odds, rate, or mean was smaller in the post-move-in period than in the pre-move-in period. CONCLUSIONS: Use of some healthcare services declined after people moved into public housing; however, the decrease was only observed in the first few months and utilization rebounded. Knowledge of healthcare trends before individuals move in are informative for ensuring the appropriate supports are available to new public housing residents. Further study is needed to determine if decreased healthcare utilization following a move is attributable to decreased access.

A systematic review of the quality of reporting of simulation studies about methods for the analysis of complex longitudinal patient-reported outcomes data.

PURPOSE: This study describes the characteristics and quality of reporting for published computer simulation studies about statistical methods to analyze complex longitudinal (i.e., repeated measures) patient-reported outcomes (PROs); we included methods for longitudinal latent variable measurement and growth models and response shift. METHODS: Scopus, PsycINFO, PubMed, EMBASE, and Social Science Citation Index were searched for English-language studies published between 1999 and 2016 using selected keywords. Extracted information included characteristics of the study purpose/objectives, simulation design, software, execution, performance, and results. The quality of reporting was evaluated using published best-practice guidelines. SYNTHESIS: A total of 1470 articles were reviewed and 42 articles met the inclusion criteria. The majority of the included studies (73.8%) investigated an existing statistical method, primarily a latent variable model (95.2%). Most studies specified the population model, including variable distributions, mean parameters, and correlation/covariances. The number of time points and sample size(s) were reported by all studies, but justification for the selected values was rarely provided. The majority of the studies (52.4%) did not report on model non-convergence. Bias, accuracy, and model fit were commonly reported performance metrics. All studies reported results descriptively, and 26.2% also used an inferential method. CONCLUSIONS: While methodological research on statistical analyses of complex longitudinal PRO data is informed by computer simulation studies, current reporting practices of these studies have not been consistent with best-practice guidelines. Comprehensive reporting of simulation methods and results ensures that the strengths and limitations of the investigated statistical methods are thoroughly explored.

International Classification of Diseases (ICD)-coded obesity predicts risk of incident osteoporotic fracture.

International Classification of Diseases (ICD) codes have been used to ascertain individuals who are obese. There has been limited research about the predictive value of ICD-coded obesity for major chronic conditions at the population level. We tested the utility of ICD-coded obesity versus measured obesity for predicting incident major osteoporotic fracture (MOF), after adjusting for covariates (i.e., age and sex). In this historical cohort study (2001-2015), we selected 61,854 individuals aged 50 years and older from the Manitoba Bone Mineral Density Database, Canada. Body mass index (BMI) ≥30 kg/m2 was used to define measured obesity. Hospital and physician ICD codes were used to ascertain ICD-coded obesity and incident MOF. Average cohort age was 66.3 years and 90.3% were female. The sensitivity, specificity and positive predictive value for ICD-coded obesity using measured obesity as the reference were 0.11 (95% confidence interval [CI]: 0.10, 0.11), 0.99 (95% CI: 0.99, 0.99) and 0.79 (95% CI: 0.77, 0.81), respectively. ICD-coded obesity (adjusted hazard ratio [HR] 0.83; 95% CI: 0.70, 0.99) and measured obesity (adjusted HR 0.83; 95% CI: 0.78, 0.88) were associated with decreased MOF risk. Although the area under the receiver operating characteristic curve (AUROC) estimates for incident MOF were not significantly different for ICD-coded obesity versus measured obesity (0.648 for ICD-coded obesity versus 0.650 for measured obesity; P = 0.056 for AUROC difference), the category-free net reclassification index for ICD-coded obesity versus measured obesity was -0.08 (95% CI: -0.11, -0.06) for predicting incident MOF. ICD-coded obesity predicted incident MOF, though it had low sensitivity and reclassified MOF risk slightly less well than measured obesity.

Quality of administrative health databases in Canada: A scoping review.

OBJECTIVE: Administrative health databases are increasingly used to conduct population-based health research and surveillance; this has resulted in a corresponding growth in studies about their quality. Our objective was to describe the characteristics of published Canadian studies about administrative health database quality. METHODS: PubMed, Scopus, and Google Advanced were searched, along with websites of relevant organizations. English-language studies that evaluated the quality of one or more Canadian administrative health databases between 2004 and 2014 were selected for inclusion. Extracted information included data quality concepts and measures, year and type of publication, type of database, and geographic origin. SYNTHESIS: More than 3,000 publications were identified fromthe search. Twelve reports and 144 peer-reviewed papers were included. The majority (53.5%) of peer-review publications used databases from Ontario and Alberta, while 67% of the non-peer-review publications used data from multiple provinces/ territories. Almost all peer-reviewed papers (97.2%) were validation studies. Hospital discharge abstracts and physician billing claims were the most frequently validated databases. Approximately half of the publications (53.0%) validated case definitions and 37.7% focused on a chronic physical health condition. CONCLUSION: Gaps in the Canadian administrative data quality literature include a limited number of studies evaluating data from the Maritimes and across multiple jurisdictions, newer data sources, validating methods for identifying individuals with mental illness, and assessing the completeness and serviceability of the data. Data quality studies can aid researchers to understand the strengths and limitations of the data.

Health and social predictors of applications to public housing: a population-based analysis.

BACKGROUND: Residents of public housing are often in poor health. However, it is unclear whether poor health precedes residency in public housing. We compared the health of people who applied to public housing to people who did not apply and had similar socioeconomic characteristics. METHODS: Population-based administrative databases from Manitoba, Canada, containing health, housing and income assistance information were used to identify a cohort of individuals who applied to public housing and a matched cohort from the general population. Conditional logistic regression was used to test the association between a public housing application and health status and health service use, after controlling for income. RESULTS: There were 10 324 individuals in each of the public housing applicant and matched cohorts; the majority were women, young, urban residents, and received income assistance. A higher per cent of the public housing cohort had physician-diagnosed physical and mental health conditions compared to the matched cohort. Physical health, mental health and health service use were significantly associated with applying to public housing, after controlling for individual and area-level income. CONCLUSIONS: Applicants to public housing were in poorer health compared to people of the same income level who did not apply to public housing. These health issues may affect the long-term stability of their tenancy if appropriate services and supports are not provided. Additionally, preventing ill health, better management of mental health and additional supports may reduce the need for public housing, which, in turn, would alleviate the pressure on governments to provide this form of housing.

Comparison of the epidemiology of laboratory-confirmed influenza A and influenza B cases in Manitoba, Canada.

BACKGROUND: Despite the public health significance of annual influenza outbreaks, the literature comparing the epidemiology of influenza A and B infections is limited and dated and may not reflect recent trends. In Canada, the relative contribution of influenza A and B to the burden of morbidity is not well understood. We examined rates of laboratory-confirmed cases of influenza A and B (LCI-A and LCI-B) in the Canadian province of Manitoba between 1993 and 2008 and compared cases of the two types in terms of socio-demographic and clinical characteristics. METHODS: Laboratory-confirmed cases of influenza A and B in Manitoba between 1993 and 2008 were identified from the Cadham Provincial Laboratory (CPL) Database and linked to de-identified provincial administrative health records. Crude and age-adjusted incidence rates of LCI-A and LCI-B were calculated. Demographic characteristics, health status, health service use, and vaccination history were compared by influenza type. RESULTS: Over the study period, 1,404 of LCI-A and 445 cases of LCI-B were diagnosed, corresponding to an annual age-standardized rate of 7.2 (95% CI: 6.5-7.9) for LCI-A and 2.2 (CI: 1.5 - 3.0) per 100,000 person-years for LCI-B. Annual rates fluctuated widely but there was less variation in the LCI-B rates. For LCI-A, but not LCI-B, incidence was inversely related to household income. Older age, urban residence and past hospitalization were associated with increased detection of LCI-A whereas receipt of the influenza vaccine was associated with decreased LCI-A detection. Once socio-demographic variables were controlled, having a pre-existing chronic disease or immune suppression was not related to influenza type. CONCLUSION: Influenza A and B affected different segments of the population. Older age was associated with increased LCI-A detection, but not with pre-existing chronic diseases. This information may be useful to public health professionals in planning and evaluating new and existing seasonal influenza vaccines.

Residential mobility of individuals with diagnosed schizophrenia: a comparison of single and multiple movers.

BACKGROUND: Several studies have compared the residential mobility of individuals with schizophrenia to mobility of individuals with other mental disorders or with no mental disorders. Little research has been undertaken to describe differences between single (i.e., infrequent) and multiple (i.e., frequent) movers with schizophrenia, and the association between frequency of mobility and health and health service use. METHODS: The data source is population-based administrative records from the province of Manitoba, Canada. Hospital separations and physicians claims are linked to health registration files to identify a cohort with diagnosed schizophrenia and track changes in residential postal code over time. Single movers (N = 736), who had only one postal code change in a 2.5-year observation period, are compared to multiple movers (N = 252), who had two or more postal code changes. Differences in demographic, socioeconomic, and geographic characteristics, measures of health service use, and the prevalence of several chronic diseases were examined using chi(2) tests, logistic regression, and generalized linear regression. RESULTS: Multiple movers were significantly more likely to be young, live in socioeconomically disadvantaged neighborhoods, and reside in the urban core. The prevalence of a co-occurring substance use disorder and arthritis was higher for multiple than single movers. Use of acute and ambulatory care for schizophrenia, other mental disorders, as well as physical disorders was generally higher for multiple than single movers. CONCLUSIONS: Frequency of mobility should be considered in the development of needs-based funding plans and service delivery interventions. Other opportunities to use record-linkage techniques to examine residential mobility are considered.

Mental health and the city: intra-urban mobility among individuals with schizophrenia.

Intra-urban residential mobility of a cohort with schizophrenia was compared to a matched cohort with no mental illness using population-based administrative data. The percentage of individuals with one or more changes in postal code in the three-year mobility study period was examined, along with measures of the movement between different intra-urban areas. The schizophrenia cohort was more likely to move than the matched cohort; however, this depends on their age, income level, and area of residence at baseline. Age, gender, marital status, income quintile, and use of physicians and hospitalizations were associated with mobility. Individuals in the schizophrenia cohort were significantly more likely to move from the suburb to the inner city, and significantly less likely to move from the inner city to the suburb than those with no mental illness. Implications of the findings and directions for future research are discussed, with particular attention paid to the utility of administrative data for further mental health research.

Residential mobility and severe mental illness: a population-based analysis.

This research uses population-based administrative data linking health service use to longitudinal postal code information to describe the residential mobility of individuals with a severe mental illness (SMI), schizophrenia. This group is compared to two cohorts, one with no mental illness, and one with a severe physical illness of inflammatory bowel disease. The percentage of individuals with one or more changes in postal code in a 3-year period is examined, along with measures of rural-to-rural regional migration and rural-to-urban migration. Demographic, socioeconomic, and health service use characteristics are examined as determinants of mobility. The odds of moving were twice as high for the SMI cohort as for either of the other two cohorts. There were no statistically significant differences in rural-to-rural or rural-to-urban migration among the cohorts. Marital status, income quintile, and use of physicians are consistent determinants of mobility. The results are discussed from the perspectives of health services planning and access to housing.

Robust tests for the multivariate Behrens-Fisher problem.

Hotelling's T2 procedure is used to test the equality of means in two-group multivariate designs when covariances are homogeneous. A number of alternatives to T2, which are robust to covariance heterogeneity, have been proposed in the literature. However, all are sensitive to departures from multivariate normality. We demonstrate how to obtain multivariate tests that are robust to covariance heterogeneity and non-normality with estimators of location and scale based on trimming and Winsorizing. The performance of six alternatives to T2 was examined via Monte Carlo methods when characteristics of the research design, degree of covariance heterogeneity, and degree of non-normality were manipulated. We have recently developed a program written in the SAS/IML language that can be used to implement these robust multivariate tests. Recommendations are provided on the specific data-analytic conditions under which these tests should be adopted.