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Atrial fibrillation (AF) is relatively common among nursing home residents, and decisions regarding anticoagulant therapy in this setting may be complicated by resident frailty and other factors. The aim of this study was to examine trends and correlates of oral anticoagulant use among newly admitted nursing home residents with AF following the approval of direct-acting oral anticoagulants (DOACs). We conducted a retrospective cohort study of all adults aged > 65 years with AF who were newly admitted to nursing homes in Ontario, Canada, between 2011 and 2018 (N = 36,466). Health administrative databases were linked with comprehensive clinical assessment data captured shortly after admission, to ascertain resident characteristics. Trends in prevalence of anticoagulant use (any, warfarin, DOAC) at admission were captured with prescription claims and examined by frailty and chronic kidney disease (CKD). Log-binomial regression models estimated crude percentage changes in use over time and modified Poisson regression models assessed factors associated with anticoagulant use and type. The prevalence of anticoagulant use at admission increased from 41.1% in 2011/2012 to 58.0% in 2017/2018 (percentage increase = 41.1%, p

In this narrative review, we focus on aspects of the complicated relationship between frailty and medications that we feel would be of particular interest to researchers and health care practitioners. Frailty and polypharmacy (≥5 medications) are inter-related with evidence of a bidirectional potentially casual relationship. Medication review and withdrawal of potentially inappropriate medications is frequently advised for the management of frailty. Changes in the pharmacokinetics and pharmacodynamics of drugs with frailty are felt to parallel those seen with aging though possibly more pronounced. While both frailty and polypharmacy are associated with adverse outcomes, recent research suggests that relative measures of associated risk may be blunted among older adults with frailty compared to non-frail older adults. Research on drug therapy in later life should include a consideration of frailty and how changes in frailty status may affect the balance between benefit and risk with pharmacotherapy.

This study aimed to provide population-level data regarding trends in multimorbidity over 13 years.We linked provincial health administrative data in Ontario, Canada, to create 3 cross-sectional panels of residents of any age in 2003, 2009, and 2016 to describe: (i) 13-year trends in multimorbidity prevalence and constellations among residents and across age, sex, and income; and (ii) chronic condition clusters. Multimorbidity was defined as having at least any 2 of 18 selected conditions, and further grouped into levels of 2, 3, 4, or 5 or more conditions. Age-sex standardized multimorbidity prevalence was estimated using the 2009 population as the standard. Clustering was defined using the observed combinations of conditions within levels of multimorbidity.Standardized prevalence of multimorbidity increased over time (26.5%, 28.8%, and 30.0% across sequential panels), across sex, age, and area-based income. Females, older adults and those living in lower income areas exhibited higher rates in all years. However, multimorbidity increased relatively more among males, younger adults, and those with 4 or 5 or more conditions. We observed numerous and increasing diversity in disease clusters, namely at higher levels of multimorbidity.Our study provides relevant and needed population-based information on the growing burden of multimorbidity, and related socio-demographic risk factors. Multimorbidity is markedly increasing among younger age cohorts. Also, there is an increasing complexity and lack of common clustering patterns at higher multimorbidity levels.RéSUMé: OBJECTIF: Cette étude a pour but d’offrir des données populationnelles sur la multimorbidité et les tendances sur 13 années. MéTHODES: Cette étude transversale utilise des données administratives provinciales, incluant trois panels d’individus de tous âges, en 2003, 2009 et 2016, pour décrire : (i) les tendances de la multimorbidité en Ontario, et les différences entre âge, sexe et niveaux de revenus; ainsi que (ii) les combinaisons de maladies chroniques. La multimorbidité a été définie comme ayant au moins deux des 18 maladies chroniques sélectionnées, et ensuite groupée par niveau de 2, 3, 4 ou 5 maladies ou plus. Les taux de prévalence standardisés ont été estimés à partir de la population de 2009. Les combinaisons fréquentes de maladies chroniques observées par niveau de multimorbidité sont également arborées. RéSULTATS: La prévalence standardisée de multimorbidité a augmenté au fil des années (26,5 %, 28,8 % et 30,0 %). Elle était plus élevée chez les femmes, les personnes âgées, et celles vivant dans les endroits à faible revenus, peu importe l’année. Toutefois l’augmentation dans le temps était plus importante chez les hommes, les jeunes adultes, et pour les niveaux élevés de multimorbidité (4, 5 ou plus). Nous avons observé un nombre élevé de combinaisons de maladies, et une diversité grandissante spécialement pour les niveaux de multimorbidité élevés. CONCLUSION: Cette étude fournit des données épidémiologiques probantes sur le problème grandissant de la multimorbidité, notamment au sein des jeunes cohortes, et les facteurs sociodémographiques associés. Il existe également une complexité grandissante et pas de profils communs dans les combinaisons de maladies, aux niveaux élevés de multimorbidité.

To examine the relative impact of 16 common chronic conditions and increasing morbidity on health-related quality of life (HRQL) in a population-based sample of home care clients in Ontario, Canada.Participants were adult clients assessed with the Resident Assessment Instrument for Home Care (RAI-HC) between January and June 2009 and diagnosed with one (or more) of 16 common chronic conditions. HRQL was evaluated using the Minimum Data Set-Health Status Index (MDS-HSI), a preference-based measure derived from items captured in the RAI-HC. Multivariable linear regression models assessed the relative impact of each condition, and increasing number of diagnoses, on MDS-HSI scores.Mean (SD) MDS-HSI score in the study population (n = 106,159) was 0.524 (0.213). Multivariable analysis revealed a statistically significant (p 0.05) and clinically important (difference ≥ 0.03) decrease in MDS-HSI scores associated with stroke (-0.056), osteoarthritis (-0.036), rheumatoid arthritis (-0.033) and congestive heart failure (CHF, -0.030). Differences by age and sex were observed; most notably, the negative impact associated with dementia was greater among men (-0.043) than among women (-0.019). Further, HRQL decreased incrementally with additional diagnoses. In all models, chronic conditions and number of diagnoses accounted for a relatively small proportion of the variance observed in MDS-HSI.Clinically important negative effects on HRQL were observed for clients with a previous diagnosis of stroke, osteo- and rheumatoid arthritis, or CHF, as well as with increasing levels of multimorbidity. Findings provide baseline preference-based HRQL scores for home care clients with different diagnoses and may be useful for identifying, targeting and evaluating care strategies toward populations with significant HRQL impairments.

Background: Use of combination pharmacotherapy, including angiotensin-converting enzyme (ACE) inhibitors, angiotensin II type 1 receptor antagonists (angiotensin receptor blockers) and β-adrenoceptor antagonists (β-blockers) in the management of heart failure (HF) can reduce mortality, prevent functional decline and reduce health service use. However, these first-line therapies are underused in older populations. This article describes the use and predictors of use of first-line HF therapies in a population-based cohort of older home care clients in Ontario, Canada. Objectives: To examine the use and correlates of first-line pharmacotherapy in older home care clients with HF. Methods: This was a retrospective, cross-sectional study of Resident Assessment Instrument — Home Care (RAI-HC) data in individuals aged ≥65 years receiving home care services in the province of Ontario, Canada. Data collected were from all 14 health regions in Ontario. Home care clients with HF were identified from among those aged ≥65 years whose first RAI-HC assessment occurred between January 2004 and December 2007 (n = 176 866). Potential correlates of pharmacotherapy for HF were identified from the RAI-HC and examined using multivariable logistic regression. Results: HF prevalence was 12.4%. Among clients with HF, 28.6% received no first-line pharmacotherapy; this proportion declined by 6% over the 4 years studied. Only 28.0% were receiving recommended combination therapy. First-line pharmacotherapy use was dependent on hypertension and diabetes mellitus status. Use of pharmacotherapy was less likely among older clients and those with functional impairment, airway disease or behavioural symptoms. Conclusions: Approximately 29% of older home care clients with HF received no first-line HF pharmacotherapy, while another 28% received optimal first-line HF pharmacotherapy. In addition to the expected clinical correlates, the increased likelihood of non-use associated with clients’ demographic and functional characteristics raises concerns about quality of care. A better understanding of how these factors affect prescribing practices, particularly for combination therapy, would help to optimize HF disease management. For clinicians, this work also serves as a potential reminder to follow guideline recommendations for HF management in older, vulnerable adults.

Stress plays an important role in the etiology of mental and physical disorders. The effect of stress on health may be moderated by how people deal with stress. The objectives of this analysis were to (1) estimate the population proportions using various ways of dealing with stress in healthy people, in people with mental disorders and substance dependence and in individuals with general medical conditions only, and (2) identify factors associated with ways of dealing with stress. Data from the Canadian Community Health Survey, Mental Health and Well-being (CCHS-1.2) were used (n = 36,984). This was a national mental health survey which used a probability sample and incorporated a version of the Composite International Diagnostic Interview. Participants with mental disorders differed from healthy people in ways of dealing with stress. Among participants with mental disorders, women were more likely to report that they “talk to others” and “eat more/less” to deal with stress. Men were more likely to use “avoid people” and “drink alcohol” to deal with stress than women. Age differences within groups in ways of dealing with stress were found and having a history of mental disorders was also associated with reported ways of dealing with stress. Ways of dealing with stress differ by gender and age, but there is no over-arching pattern of maladaptive coping associated with mental disorders that applies across illness, age and gender categories. Healthy behaviors should be promoted as ways to relieve stress, leading to better self-care skills.

Major depressive episodes (MDE) and anxiety disorders are associated with significantly lower health-related quality of life (HRQL). The present study explores the ability of the EQ-5D HRQL measure to differentiate among those with a clinical diagnosis of MDE and/or anxiety disorders.Data were collected as part of the Alberta Mental Health Survey (2003). MDE and anxiety were defined by DSM-IV using the Mini International Neuropsychiatric Interview (M.I.N.I). Descriptive and multivariate regression analyses were used to examine associations between EQ-5D scores and mental health diagnoses.The prevalence for diagnoses (and proportion within each group reporting problems on the Anxiety/Depression domain) were: MDE alone 2.6% (48.6%); anxiety disorders alone 11.2% (38.9%); MDE and anxiety 5.2% (81.1%); and neither 80.9% (8.2%), respectively. Adjusted mean EQ-Index and EQ-VAS scores were shown to be significantly lower among those with MDE and anxiety disorders (0.70, 64.2), followed by those with MDE alone (0.83, 70.8) and anxiety disorders alone (0.84, 76.7), when compared with subjects with none of these conditions.Reporting problems on the EQ-5D Anxiety/Depression domain was more common among subjects with MDE alone than anxiety disorders alone. Other domains of the EQ-5D did identify the burden of co-morbid mental health conditions, but not as well as the Anxiety/Depression domain.

To compare gambling behaviors in a random sample of community residents with and without mental disorders identified by the Composite International Diagnostic Interview (CIDI). A large national community survey conducted by Statistics Canada included questions about problems arising from gambling activities as per the Canadian Problem Gambling Index (CPGI). We compared respondents within three gambling severity categories (non-problem, low severity and moderate/high severity gambling) across three diagnostic groupings (mood/anxiety disorders, substance dependence/harmful alcohol use, no selected psychiatric disorder). Of the 14,934 respondents age 18–64 years who engaged in at least one type of gambling activity in the previous 12 months, 5.8% fell in the low severity gambling category while 2.9% fell in the moderate/high severity category. Females accounted for 51.7% of the sample. The risk of moderate/high severity gambling was 1.7 times higher in persons with mood or anxiety disorder compared to persons with no selected disorder. For persons with substance dependence or harmful alcohol use, the risk of moderate/high severity gambling was 2.9 times higher. Persons with both mood/anxiety and substance/alcohol disorders were five times more likely to be moderate/high severity gamblers. The odds ratio for females was 0.6 and for those with less than post-secondary education it was 1.52. Differences in age and personal income were not significant. Individuals in the community suffering from mood/anxiety disorders and substance dependence/harmful alcohol, and especially those with both, experience a higher risk for gambling problems. The treatment of these comorbidities should be integrated into any problem gambling treatment program.

Purpose: The purpose of this study was to assess the responsiveness of one measure of HRQL, the HUI Mark 2 (HUI2), to changes in health status over time in an older community-based population. Methods: The sample consisted of 192 individuals age 65 and over residing in their homes and receiving health and support services in Calgary, Canada. Subjects received three assessments at 6-month intervals using the HUI2, to measure health-related quality of life (HRQL), and the Minimum Data Set for Home Care (MDS-HC) for demographic and health status information. Change scores were calculated as the difference between scores at the second and third assessments. The relationship between the HUI2 and other measures of health status were examined using t-tests and ANOVA. Associations between the magnitude of decline in HUI2 and declines on other measures were examined using multiple linear regression. Results: Lower HUI2 scores were significantly associated with the presence of depressive symptoms, impairment in activities of daily living (ADL), and clinical instability at baseline. Over 6 months of follow-up, HUI2 decline was associated with worsening depressive symptoms, increase in the number of chronic conditions, and age 85 and over. Conclusion: The HUI2 measure of HRQL in older persons at risk for institutionalization appears to reflect health status at a point in time and to be responsive to changes in health status over time.

Despite a higher risk for medication nonadherence among older adults residing in the community, few prospective studies have investigated the health outcomes associated with nonadherence in this population or the possible variations in risk in urban versus rural residents. The primary objective of this study was to examine, in a prospective manner, the risk for hospitalisation (including an emergency department visit) and/or mortality associated with medication nonadherence in older, at-risk adults residing in the community. A secondary objective was to examine differences in the prevalence, determinants and consequences of medication nonadherence between rural and urban home care clients. Data were derived from a 1-year prospective study of home care clients aged ≥65 years (n = 319) randomly selected from urban and rural settings in southern Alberta, Canada. Trained nurses conducted in-home assessments including a comprehensive medication review, self-report measures of adherence and the Minimum Data Set for Home Care (MDS-HC) tool. Hospitalisation and mortality data during 12-month follow-up were obtained via linkages with regional administrative and vital statistics databases. Nonadherent clients showed an increased but nonsignificant risk for an adverse health outcome (hospitalisation, emergency department visit or death) during follow-up (hazard ratio [adjusted for relevant covariates] = 1.24, 95% CI 0.93, 1.65). Subgroup analyses suggested this risk may be higher for unintentional nonadherence (unadjusted hazard ratio = 1.55, 95% CI 0.97, 2.48). The prevalence of nonadherence was similar among rural (38.2%) and urban (38.9%) clients and was associated with the presence of vision problems, a history of smoking, depressive symptoms, a high drug regimen complexity score, residence in a private home (vs assisted-living setting) and absence of assistance with medication administration. In both settings, approximately 20% of clients received one or more inappropriate medications. Although not associated with rural/urban residence, medication nonadherence was common in our study population, particularly among those with depressive symptoms and complex medication regimens. The absence of a significant association between overall medication nonadherence and health outcomes may reflect study limitations and/or the need to differentiate among types of nonadherent behaviours.

Objective: To estimate the prevalence and correlates of influenza vaccination in a Home Care population. Methods: This was a cross-sectional investigation involving linkage of three population-based databases from a rural Alberta Regional Health Authority, i.e., the Regional immunization and the Regional home oxygen information systems to the Regional home care information system. The sample comprised 649 persons who had been admitted or discharged from the Regional Home Care Program in the period Oct. 1–Dec. 31, 1998. An anonymous data file was released to the investigators. We estimated the proportion ever vaccinated against influenza, the proportion vaccinated in the period Oct. 1–Dec. 31, 1998 (“currently vaccinated”); and explored sociodemographic and program correlates of current vaccination. Results: 67% had ever been vaccinated against influenza; 60.7% were currently vaccinated. Factors associated with current vaccination (multivariate analysis) include older age, being married, not receiving nursing services, district of residence and program status. Conclusions: Influenza vaccination rates were suboptimal. The correlates of vaccination suggest systems-level impediments to influenza vaccination.

Among women aged 50 to 69 years, regular screening by mammography in combination with clinical examination, can substantially decrease the morbidity and mortality associated with breast cancer by facilitating early detection. Unfortunately, many Canadian women are not screened in accordance with current guidelines. Research to date is based primarily on large surveys conducted in the United States and less is known about the relevance of specific barriers to mammography screening among Canadian women. Multivariate results from the 1994–95 National Population Health Survey (NPHS) indicate that younger (40–49) and older (70+) women, those who are socioeconomically disadvantaged, and minority women are least likely to report having had a mammogram. Conversely, women with positive health behaviours, high social support, and positive mental health attributes are more likely to participate in mammography screening. These findings are discussed in terms of the implications for developing successful intervention programs for Canadian women and for setting priorities for further research.

Background Few studies have directly compared the competing approaches to identifying frailty in more vulnerable older populations. We examined the ability of two versions of a frailty index (43 vs. 83 items), the Cardiovascular Health Study (CHS) frailty criteria, and the CHESS scale to accurately predict the occurrence of three outcomes among Assisted Living (AL) residents followed over one year. Methods The three frailty measures and the CHESS scale were derived from assessment items completed among 1,066 AL residents (aged 65+) participating in the Alberta Continuing Care Epidemiological Studies (ACCES). Adjusted risks of one-year mortality, hospitalization and long-term care placement were estimated for those categorized as frail or pre-frail compared with non-frail (or at high/intermediate vs. low risk on CHESS). The area under the ROC curve (AUC) was calculated for select models to assess the predictive accuracy of the different frailty measures and CHESS scale in relation to the three outcomes examined. Results Frail subjects defined by the three approaches and those at high risk for decline on CHESS showed a statistically significant increased risk for death and long-term care placement compared with those categorized as either not frail or at low risk for decline. The risk estimates for hospitalization associated with the frailty measures and CHESS were generally weaker with one of the frailty indices (43 items) showing no significant association. For death and long-term care placement, the addition of frailty (however derived) or CHESS significantly improved on the AUC obtained with a model including only age, sex and co-morbidity, though the magnitude of improvement was sometimes small. The different frailty/risk models did not differ significantly from each other in predicting mortality or hospitalization; however, one of the frailty indices (83 items) showed significantly better performance over the other measures in predicting long-term care placement. Conclusions Using different approaches, varying degrees of frailty were detected within the AL population. The various approaches to defining frailty were generally more similar than dissimilar with regard to predictive accuracy with some exceptions. The clinical implications and opportunities of detecting frailty in more vulnerable older adults require further investigation.