Using Concept Mapping to Define Indigenous Housing First in Hamilton, Ontario.

BACKGROUND: The lasting impact of colonization contributes to the disproportionate rates of homelessness experienced by Indigenous people in Canada. METHODS: This study used participatory mixed methods to evaluate an urban, Indigenous-led Housing First program in Ontario to fill knowledge gaps on wise practices addressing the unique dimensions of Indigenous homelessness. Using concept mapping, staff perspectives were engaged to generate 65 unique statements describing program delivery and their interrelationships using a six-cluster map. RESULTS: 'Team's Professional Skills' and 'Spiritual Practices' rated high in importance (mean = 4.75 and 4.73, respectively), and feasibility (mean = 4.31 and 4.33, respectively). While fairly important, 'Partnerships and Agency Supports' was ranked least feasible (mean = 3.89). On average, clusters rated higher in importance than feasibility. CONCLUSION: Concept mapping draws from local knowledge, elicits strong engagement, and captured the holistic and client-centred approach of an Indigenous Housing First Model.

Modelling prevalent cardiovascular disease in an urban Indigenous population.

OBJECTIVE: Studies have highlighted the inequities between the Indigenous and non-Indigenous populations with respect to the burden of cardiovascular disease and prevalence of predisposing risks resulting from historical and ongoing impacts of colonization. The objective of this study was to investigate factors associated with cardiovascular disease (CVD) within and specific to the Indigenous peoples living in Toronto, Ontario, and to evaluate the reliability and validity of the resulting model in a similar population. METHODS: The Our Health Counts Toronto study measured the baseline health of Indigenous community members living in Toronto, Canada, using respondent-driven sampling. An iterative approach, valuing information from the literature, clinical insight and Indigenous lived experiences, as well as statistical measures was used to evaluate candidate predictors of CVD (self-reported experience of discrimination, ethnic identity, health conditions, income, education, age, gender and body size) prior to multivariable modelling. The resulting model was then validated using a distinct, geographically similar sample of Indigenous people living in Hamilton, Ontario, Canada. RESULTS: The multivariable model of risk factors associated with prevalent CVD included age, diabetes, hypertension, body mass index and exposure to discrimination. The combined presence of diabetes and hypertension was associated with a greater risk of CVD relative to those with either condition and was the strongest predictor of CVD. Those who reported previous experiences of discrimination were also more likely to have CVD. Further study is needed to determine the effect of body size on risk of CVD in the urban Indigenous population. The final model had good discriminative ability and adequate calibration when applied to the Hamilton sample. CONCLUSION: Our modelling identified hypertension, diabetes and exposure to discrimination as factors associated with cardiovascular disease. Discrimination is a modifiable exposure that must be addressed to improve cardiovascular health among Indigenous populations.

RéSUMé: OBJECTIF: Des études ont souligné les iniquités entre les populations autochtones et non autochtones en ce qui a trait au fardeau des maladies cardiovasculaires et à la prévalence des risques prédisposants qui résultent des impacts historiques et continus de la colonisation. Nous avons voulu étudier les facteurs associés aux maladies cardiovasculaires (MCV) au sein des populations autochtones vivant à Toronto (Ontario) et spécifiques à ces populations, puis évaluer la fiabilité et la validité du modèle ainsi obtenu dans une population semblable. MéTHODE: L'étude Our Health Counts Toronto a mesuré l'état de santé de départ de membres de communautés autochtones vivant à Toronto, au Canada, à l'aide d'un échantillonnage en fonction des répondants. Une approche itérative, valorisant à la fois les données d'études scientifiques, l'expérience clinique, le vécu de personnes autochtones et les mesures statistiques, a été employée pour évaluer les candidats prédicteurs des MCV (expérience autodéclarée de discrimination, identité ethnique, affections médicales, revenu, instruction, âge, genre et taille) avant la modélisation multivariée. Le modèle ainsi obtenu a ensuite été validé à l'aide d'un échantillon distinct, mais géographiquement similaire, de personnes autochtones vivant à Hamilton (Ontario), au Canada. RéSULTATS: Le modèle multivarié des facteurs de risque associés aux MCV prévalentes incluait l'âge, le diabète, l'hypertension artérielle, l'indice de masse corporelle et l'exposition à la discrimination. La présence combinée du diabète et de l'hypertension artérielle était associée à un risque accru de MCV comparativement à l'une ou l'autre de ces deux affections médicales; c'était aussi la plus forte variable prédictive des MCV. Les personnes ayant déclaré des expériences passées de discrimination étaient aussi plus susceptibles d'être atteintes de MCV. D'autres études sont nécessaires pour déterminer l'effet de la taille sur le risque de MCV dans la population autochtone urbaine. Le modèle final avait un bon pouvoir discriminant et une calibration adéquate lorsqu'il a été appliqué à l'échantillon de Hamilton. CONCLUSION: Notre modélisation a cerné l'hypertension artérielle, le diabète et l'exposition à la discrimination comme facteurs associés aux maladies cardiovasculaires. La discrimination est un risque modifiable qui doit être abordé pour améliorer la santé cardiovasculaire au sein des populations autochtones.

Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study.

BACKGROUND: It is unclear whether weighted or unweighted regression is preferred in the analysis of data derived from respondent driven sampling. Our objective was to evaluate the validity of various regression models, with and without weights and with various controls for clustering in the estimation of the risk of group membership from data collected using respondent-driven sampling (RDS). METHODS: Twelve networked populations, with varying levels of homophily and prevalence, based on a known distribution of a continuous predictor were simulated using 1000 RDS samples from each population. Weighted and unweighted binomial and Poisson general linear models, with and without various clustering controls and standard error adjustments were modelled for each sample and evaluated with respect to validity, bias and coverage rate. Population prevalence was also estimated. RESULTS: In the regression analysis, the unweighted log-link (Poisson) models maintained the nominal type-I error rate across all populations. Bias was substantial and type-I error rates unacceptably high for weighted binomial regression. Coverage rates for the estimation of prevalence were highest using RDS-weighted logistic regression, except at low prevalence (10%) where unweighted models are recommended. CONCLUSIONS: Caution is warranted when undertaking regression analysis of RDS data. Even when reported degree is accurate, low reported degree can unduly influence regression estimates. Unweighted Poisson regression is therefore recommended.

Primary care intervention to address cardiovascular disease medication health literacy among Indigenous peoples: Canadian results of a pre-post-design study.

CONTEXT: Cardiovascular diseases (CVD) are a leading cause of illness and death for Indigenous people in Canada and globally. Appropriate medication can significantly improve health outcomes for persons diagnosed with CVD or for those at high risk of CVD. Poor health literacy has been identified as a major barrier that interferes with client understanding and taking of CVD medication. Strengthening health literacy within health services is particularly relevant in Indigenous contexts, where there are systemic barriers to accessing literacy skills. OBJECTIVE: The aim of this study is to test the effect of a customized, structured health literacy educational program addressing CVD medications. METHODS: Pre-post-design involves health providers and Indigenous clients at the De dwa da dehs nye>s Aboriginal Health Centre (DAHC) in Ontario, Canada. Forty-seven Indigenous clients with or at high risk of CVD received three educational sessions delivered by a trained Indigenous nurse over a 4- to 7-week period. A tablet application, pill card and booklet supported the sessions. Primary outcomes were knowledge of CVD medications and health literacy practices, which were assessed before and after the programe. RESULTS: Following the program compared to before, mean medication knowledge scores were 3.3 to 6.1 times higher for the four included CVD medications. Participants were also more likely to refer to the customized pill card and booklet for information and answer questions from others regarding CVD. CONCLUSIONS: This customized education program was highly effective in increasing medication knowledge and health literacy practice among Indigenous people with CVD or at risk of CVD attending the program at an urban Indigenous health centre.

A cross-sectional analysis of the relationship between diabetes and health access barriers in an urban First Nations population in Canada.

OBJECTIVE: This study explores the relationship between health access barriers and diabetes in an urban First Nations population in Canada. DESIGN: Data from a self-identified urban First Nations population were collected using respondent-driven sampling (RDS). As no clear approach for regression modelling of RDS data is available, two logistic regression modelling approaches, including survey-based logistic and generalised linear mixed models, were used to explore the relationship between diabetes and health barriers of interest, including access to healthcare, food, housing and socioeconomic factors. SETTING: Hamilton, Ontario, Canada. PARTICIPANTS: This cross-sectional study used data collected from the Our Health Counts study, in partnership with the De dwa da dehs nye>s Aboriginal Health Centre, which recruited 554 First Nations adults living in Hamilton using RDS. RESULTS: After adjusting for covariates, multivariable regression techniques showed a statistically significant relationship between a self-reported diagnosis of diabetes and a lack of culturally appropriate care among urban First Nations peoples (OR: 12.70, 95% CI 2.52 to 57.91). There was also a trend towards a relationship between diabetes and not having a doctor available in the area, feeling that healthcare provided was inadequate and a lack of available healthcare services in the area. CONCLUSIONS: Urban First Nations peoples who felt the health service they received was not culturally appropriate were more likely to have diabetes, compared with those who did not feel the service they received was culturally inappropriate. Establishing more healthcare services that integrate First Nations cultures and traditions could improve access to care and the course of treatment for urban First Nations peoples living with diabetes.

Mental health and substance use in an urban First Nations population in Hamilton, Ontario.

OBJECTIVES: Mental health and substance use have been identified as health priorities currently facing Indigenous peoples in Canada; however, accessible and culturally relevant population health data for this group are almost non-existent. The aim of the Our Health Counts study was to generate First Nations adult population health data in partnership with the De dwa da dehs ney>s Aboriginal Health Access Centre in Hamilton, Ontario. METHODS: Analysis involved data gathered through respondent-driven sampling. Prevalence estimates and 95% confidence intervals were generated for diagnosis and treatment of a psychological disorder or mental illness, depression, anxiety, post-traumatic stress disorder (PTSD) and suicide, alcohol and substance use, and access to emotional support. RESULTS: Of the 554 First Nations adults who participated in the Our Health Counts study in Hamilton, 42% had been told by a health care worker that they had a psychological and/or mental health disorder. High rates of depression (39%) and PTSD (34%), as well as suicide ideation (41%) and attempts (51%) were reported. Half of the sample reported marijuana use in the previous 12 months, and 19% reported the use of cocaine and opiates. CONCLUSION: First Nations adults living in Hamilton experience a disproportionate burden of mental health and addictions. By working in partnership with urban Aboriginal organizations, it is possible to produce policy- and service-relevant data and address the current deficiency in appropriate mental health and substance use services for urban Aboriginal people.