Cannabis advertising impacts on youth cannabis use intentions following recreational legalization in Canada: An Ecological Momentary Assessment (EMA) study.

OBJECTIVE: In 2018, Canada's Cannabis Act legalized adult recreational cannabis use and limited cannabis product advertising to adults. Cannabis product advertising to youth remains illegal. The extent to which adult-targeted, or illicit youth-targeted cannabis advertisements is reaching and impacting Canadian youth is unknown. We used Ecological Momentary Assessment (EMA) to describe how often and how much exposures to cannabis advertising influence Canadian youths' real-world, real-time intentions to use cannabis. METHODS: 120 Ontario, Canada youths ages 14-18, took photos of cannabis advertising that they encountered in their natural environments over a period of nine consecutive days. Following each exposure and twice daily device-issued random prompts, they also rated their intentions to use cannabis. RESULTS: Many participating youth (n = 85; 70.83 %) reported at least one cannabis advertising exposure during the study (range 1-30, M = 4.02). Exposures occurred through a range of advertising channels (e.g., internet ads, billboards). Multilevel modeling showed that youth advertising exposure increased cannabis use intentions in vivo (ß = 0.06,SE = 0.03;t = 1.98;p =.04;n = 1,348). CONCLUSION: Data from this study shows that cannabis advertisements are regularly reaching Canadian youth and increasing their intentions to use cannabis. This suggests that current Canadian prohibitions on cannabis advertising to youth are ineffective and/or ineffectively enforced, and that the Canadian government needs additional or enhanced prohibitions on cannabis promotion to protect youth from harms associated with increased advertisement exposure, such as increased cannabis use.

Exploring diabetes status and social determinants of health influencing diabetes-related complications in a Northwestern community, Ontario, Canada: A mixed method study protocol.

Diabetes is a common chronic condition affecting the many spheres of individuals' lives. It can also lead to severe complications without continuous management. Accordingly, this paper describes a study protocol aimed at 1) determining the status and prevalence of diabetes complications in a Northwestern Ontario community; 2) exploring the internal (e.g., demographic and clinical variables) and external factors (e.g., access to services and resources) affecting diabetes outcomes (e.g., complications, emergency room visits, hospitalizations); 3) critically exploring how the social determinants of health affect self-management for individuals living with diabetes; and 4) identifying individuals' needs, concerns, and challenges to monitor and regulate diabetes. The study uses a cross-sectional design and a social constructivist approach based on qualitative data collection. The proposed study will include patients with type 1 and type 2 diabetes with or without diabetes complications who have been attending the Centre for Complex Diabetes Care (CCDC) in Thunder Bay, Ontario, Canada, since January 2019. Quantitative data related to diabetes complications and other outcomes, diabetes management, and demographic and clinical status will be retrieved from patients' charts using a data extraction form. Analyses of the quantitative data will include the prevalence of diabetes complications, rate of hospitalizations, and their associations with diabetes management, access to services, and social determinants of health. Additionally, interviews will occur with at least 10 participants with or without diabetes complications to understand their needs, concerns, and struggle to self-manage diabetes daily. The results of this study will generate evidence to support future research and policy on the development and implementation of an educational program to improve self-care management and outcomes for individuals living with diabetes and its complications in Northwestern Ontario.

The impact of multimorbidity on severe COVID-19 outcomes in community and congregate settings.

Purpose: This study examined the impact of multimorbidity on severe COVID-19 outcomes in community and long-term care (LTC) settings, alone and in interaction with age and sex. Methods: We conducted a retrospective cohort study of all Ontarians who tested positive for COVID-19 between January-2020 and May-2021 with follow-up until June 2021. We used cox regression to evaluate the adjusted impact of multimorbidity, individual characteristics, and interactions on time to hospitalization and death (any cause). Results: 24.5% of the cohort had 2 or more pre-existing conditions. Multimorbidity was associated with 28% to 170% shorter time to hospitalization and death, respectively. However, predictors of hospitalization and death differed for people living in community and LTC. In community, increasing multimorbidity and age predicted shortened time to hospitalization and death. In LTC, we found none of the predictors examined were associated with time to hospitalization, except for increasing age that predicted reduced time to death up to 40.6 times. Sex was a predictor across all settings and outcomes: among male the risk of hospitalization or death was higher shortly after infection (e.g. HR for males at 14 days = 30.3) while among female risk was higher for both outcome in the longer term (e.g. HR for males at 150 days = 0.16). Age and sex modified the impact of multimorbidity in the community. Conclusion: Community-focused public health measures should be targeted and consider sociodemographic and clinical characteristics such as multimorbidity. In LTC settings, further research is needed to identify factors that may contribute to improved outcomes.

Socioeconomic gradient in mortality of working age and older adults with multiple long-term conditions in England and Ontario, Canada.

BACKGROUND: There is currently mixed evidence on the influence of long-term conditions and deprivation on mortality. We aimed to explore whether number of long-term conditions contribute to socioeconomic inequalities in mortality, whether the influence of number of conditions on mortality is consistent across socioeconomic groups and whether these associations vary by working age (18-64 years) and older adults (65 + years). We provide a cross-jurisdiction comparison between England and Ontario, by replicating the analysis using comparable representative datasets. METHODS: Participants were randomly selected from Clinical Practice Research Datalink in England and health administrative data in Ontario. They were followed from 1 January 2015 to 31 December 2019 or death or deregistration. Number of conditions was counted at baseline. Deprivation was measured according to the participant's area of residence. Cox regression models were used to estimate hazards of mortality by number of conditions, deprivation and their interaction, with adjustment for age and sex and stratified between working age and older adults in England (N = 599,487) and Ontario (N = 594,546). FINDINGS: There is a deprivation gradient in mortality between those living in the most deprived areas compared to the least deprived areas in England and Ontario. Number of conditions at baseline was associated with increasing mortality. The association was stronger in working age compared with older adults respectively in England (HR = 1.60, 95% CI 1.56,1.64 and HR = 1.26, 95% CI 1.25,1.27) and Ontario (HR = 1.69, 95% CI 1.66,1.72 and HR = 1.39, 95% CI 1.38,1.40). Number of conditions moderated the socioeconomic gradient in mortality: a shallower gradient was seen for persons with more long-term conditions. CONCLUSIONS: Number of conditions contributes to higher mortality rate and socioeconomic inequalities in mortality in England and Ontario. Current health care systems are fragmented and do not compensate for socioeconomic disadvantages, contributing to poor outcomes particularly for those managing multiple long-term conditions. Further work should identify how health systems can better support patients and clinicians who are working to prevent the development and improve the management of multiple long-term conditions, especially for individuals living in socioeconomically deprived areas.

Multimorbidity and Complexity Among Patients with Cancer in Ontario: A Retrospective Cohort Study Exploring the Clustering of 17 Chronic Conditions with Cancer.

BACKGROUND: Multimorbidity is a concern for people living with cancer, as over 90% have at least one other condition. Multimorbidity complicates care coming from multiple providers who work within separate, siloed systems. Information describing high-risk and high-cost disease combinations has potential to improve the experience, outcome, and overall cost of care by informing comprehensive care management frameworks. This study aimed to identify disease combinations among people with cancer and other conditions, and to assess the health burden associated with those combinations to help healthcare providers more effectively prioritize and coordinate care. METHODS: We used a population-based retrospective cohort design including adults with a cancer diagnosis between March-2003 and April-2013, followed-up until March 2018. We used observed disease combinations defined by level of multimorbidity and partitive (k-means) clusters, ie groupings of similar diseases based on the prevalence of each condition. We assessed disease combination-associated health burden through health service utilization, including emergency department visits, primary care visits and hospital admissions during the follow-up period. RESULTS: 549,248 adults were included in the study. Anxiety, diabetes mellitus, hypertension, and osteoarthritis co-occurred with cancer 1.1 to 5.3 times more often than expected by chance. Disease combinations varied by cancer type and age but were similar between sexes. The largest partitive cluster included cancer and anxiety, with at least 25% of individuals also having osteoarthritis. Cancer also tended to co-occur with hypertension (8.0%) or osteoarthritis (6.2%). There were differences between clusters in healthcare utilization, regardless of the number of disease combinations or clustering approach used. CONCLUSION: Researchers, clinicians, policymakers, and other stakeholders can use the clustering information presented here to improve the healthcare system for people with cancer multimorbidity by developing cluster-specific care management and clinical guidelines for common disease combinations.

Understanding the Extent of Polypharmacy and its Association With Health Service Utilization Among Persons With Cancer and Multimorbidity: A Population-Based Retrospective Cohort Study in Ontario, Canada.

BACKGROUND: Cancer often co-occurs with other chronic conditions, which may result in polypharmacy. Polypharmacy is associated with adverse outcomes, including increased health service utilization. OBJECTIVES: This study examines the overall prevalence of polypharmacy (5 or more medications) among adults with cancer and multimorbidity, as well as the association of both minor polypharmacy (5-9 medications) and hyper-polypharmacy (10 or more medications) on high use of emergency room visits and hospitalizations, while controlling for age, sex, and type and stage of cancer. METHODS: This retrospective longitudinal study used linked health administrative databases and included persons 18 years and older diagnosed with cancer between April 2010 and March 2013 in Ontario, Canada. Data on the number of health service utilizations at or above the 90th percentile (high users), was collected up to March 2014 and multivariate logistic regression was used to determine the impact of polypharmacy. RESULTS: The prevalence of polypharmacy was 46% prior to cancer diagnosis, and 57% one year after diagnosis. Polypharmacy prior to and after cancer diagnosis increased with the level of multimorbidity, increasing age, but did not differ by sex. It was also highest in persons with lung cancer (52.4%) and those diagnosed with stage 4 cancer (51.3%). Minor polypharmacy increased the odds of being a high user of emergency rooms (1.16; 99% CI: 1.09-1.24) and hospitalizations (1.03; 0.98-1.09) and the odds of high use was greater with hyper-polypharmacy (1.41; 1.33-1.51) and (1.23; 1.17-1.29) respectively. CONCLUSION: Polypharmacy is highly prevalent and is associated with high health service utilization among adults with cancer and multimorbidity.

Experiences, impacts and service needs of injured and ill workers in the WSIB process: evidence from Thunder Bay and District (Ontario, Canada). / Expériences, besoins en services et répercussions des processus de la Commission de la sécurité professionnelle et de l'assurance contre les accidents du travail (WSIB) chez les travailleurs blessés et malades : données probantes de la ville et du district de Thunder Bay (Ontario, Canada).

INTRODUCTION: Individuals experience negative physical, social and psychological ramifications when they are hurt or become ill at work. Ontario's Workplace Safety and Insurance Board (WSIB) is intended to mitigate these effects, yet the WSIB process can be difficult. Supports for injured workers can be fragmented and scarce, especially in underserved areas. We describe the experiences and mental health needs of injured and ill Northwestern Ontario workers in the WSIB process, in order to promote system improvements. METHODS: Community-recruited injured and ill workers (n = 40) from Thunder Bay and District completed an online survey about their mental health, social service and legal system needs while involved with WSIB. Additional Northwestern Ontario injured and ill workers (n = 16) and community service providers experienced with WSIB processes (n = 8) completed interviews addressing similar themes. RESULTS: Northwestern Ontario workers described the impacts of workplace injury and illness on their professional, family, financial and social functioning, and on their physical and mental health. Many also reported incremental negative impacts of the WSIB processes themselves, including regional issues such as "small town" privacy concerns and the cost burden of travel required by the WSIB, especially during COVID-19. Workers and service providers suggested streamlining and explicating WSIB processes, increasing WSIB continuity of care, and region-specific actions such as improving access to regional support services through arm's-length navigators. CONCLUSION: Northwestern Ontario workers experienced negative effects from workplace injuries and illness and the WSIB process itself. Stakeholders can use these findings to improve processes and outcomes for injured and ill workers, with special considerations for the North.

Associations between multiple long-term conditions and mortality in diverse ethnic groups.

BACKGROUND: Multiple conditions are more prevalent in some minoritised ethnic groups and are associated with higher mortality rate but studies examining differential mortality once conditions are established is US-based. Our study tested whether the association between multiple conditions and mortality varies across ethnic groups in England. METHODS AND FINDINGS: A random sample of primary care patients from Clinical Practice Research Datalink (CPRD) was followed from 1st January 2015 until 31st December 2019. Ethnicity, usually self-ascribed, was obtained from primary care records if present or from hospital records. Long-term conditions were counted from a list of 32 that have previously been associated with greater primary care, hospital admissions, or mortality risk. Cox regression models were used to estimate mortality by count of conditions, ethnicity and their interaction, with adjustment for age and sex for 532,059 patients with complete data. During five years of follow-up, 5.9% of patients died. Each additional condition at baseline was associated with increased mortality. The direction of the interaction of number of conditions with ethnicity showed a statistically higher mortality rate associated with long-term conditions in Pakistani, Black African, Black Caribbean and Other Black ethnic groups. In ethnicity-stratified models, the mortality rate per additional condition at age 50 was 1.33 (95% CI 1.31,1.35) for White ethnicity, 1.43 (95% CI 1.26,1.61) for Black Caribbean ethnicity and 1.78 (95% CI 1.41,2.24) for Other Black ethnicity. CONCLUSIONS: The higher mortality rate associated with having multiple conditions is greater in minoritised compared with White ethnic groups. Research is now needed to identify factors that contribute to these inequalities. Within the health care setting, there may be opportunities to target clinical and self-management support for people with multiple conditions from minoritised ethnic groups.

Prevalence of multimorbidity in adults with cancer, and associated health service utilization in Ontario, Canada: a population-based retrospective cohort study.

BACKGROUND: The majority of people with cancer have at least one other chronic health condition. With each additional chronic disease, the complexity of their care increases, as does the potential for negative outcomes including premature death. In this paper, we describe cancer patients' clinical complexity (i.e., multimorbidity; MMB) in order to inform strategic efforts to improve care and outcomes for people with cancer of all types and commonly occurring chronic diseases. METHODS: We conducted a population-based, retrospective cohort study of adults diagnosed with cancer between 2003 and 2013 (N = 601,331) identified in Ontario, Canada healthcare administrative data. During a five to 15-year follow-up period (through March 2018), we identified up to 16 co-occurring conditions and patient outcomes for the cohort, including health service utilization and death. RESULTS: MMB was extremely common, affecting more than 91% of people with cancer. Nearly one quarter (23%) of the population had five or more co-occurring conditions. While we saw no differences in MMB between sexes, MMB prevalence and level increased with age. MMB prevalence and type of co-occurring conditions also varied by cancer type. Overall, MMB was associated with higher rates of health service utilization and mortality, regardless of other patient characteristics, and specific conditions differentially impacted these rates. CONCLUSIONS: People with cancer are likely to have at least one other chronic medical condition and the presence of MMB negatively affects health service utilization and risk of premature death. These findings can help motivate and inform health system advances to improve care quality and outcomes for people with cancer and MMB.

Rising burden of multimorbidity and related socio-demographic factors: a repeated cross-sectional study of Ontarians.

OBJECTIVE: This study aimed to provide population-level data regarding trends in multimorbidity over 13 years. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Sex differences in multimorbidity and polypharmacy trends: A repeated cross-sectional study of older adults in Ontario, Canada.

BACKGROUND: Multimorbidity is increasing among older adults, but the impact of these recent trends on the extent and complexity of polypharmacy and possible variation by sex remains unknown. We examined sex differences in multimorbidity, polypharmacy (5+ medications) and hyper-polypharmacy (10+ medications) in 2003 vs 2016, and the interactive associations between age, multimorbidity level, and time on polypharmacy measures. METHODS AND FINDINGS: We employed a repeated cross-sectional study design with linked health administrative databases for all persons aged ≥66 years eligible for health insurance in Ontario, Canada at the two index dates. Descriptive analyses and multivariable logistic regression models were conducted; models included interaction terms between age, multimorbidity level, and time period to estimate polypharmacy and hyper-polypharmacy probabilities, risk differences and risk ratios for 2016 vs 2003. Multimorbidity, polypharmacy and hyper-polypharmacy increased significantly over the 13 years. At both index dates prevalence estimates for all three were higher in women, but a greater absolute increase in polypharmacy over time was observed in men (6.6% [from 55.7% to 62.3%] vs 0.9% [64.2%-65.1%] for women) though absolute increases in multimorbidity were similar for men and women (6.9% [72.5%-79.4%] vs 6.2% [75.9%-82.1%], respectively). Model findings showed that polypharmacy decreased over time among women aged < 90 years (especially for younger ages and those with fewer conditions), whereas it increased among men at all ages and multimorbidity levels (with larger absolute increases typically at older ages and among those with 4 or fewer conditions). CONCLUSIONS: There are sex and age differences in the impact of increasing chronic disease burden on changes in measures of multiple medication use among older adults. Though the drivers and health consequences of these trends warrant further investigation, the findings support the heterogeneity and complexity in the evolving association between multimorbidity and polypharmacy measures in older populations.

Risk of Cervical Dysplasia After Colposcopy Care and Risk-Informed Return to Population-Based Screening: A Systematic Review.

This systematic review examined the risk of cervical dysplasia among women who have undergone a colposcopy episode of care to inform their return to population-based cervical screening. PubMed, Embase, and grey literature were searched between January 2000 and 2018. One reviewer screened citations against pre-defined eligibility criteria. A second reviewer verified 10% and 100% of exclusions at title and abstract and at full-text screening, respectively. One reviewer extracted data and assessed methodological quality of included articles; a second reviewer verified these in full. The primary outcome was incidence of cervical intraepithelial neoplasia grade 2 or greater (CIN2+) subsequent to initial colposcopy evaluation. Secondary outcomes included incidence of CIN2+ after negative follow-up test results and performance of follow-up strategies. Results were synthesized narratively. A total of 48 studies were included. The 1- to 5-year CIN2+ risks after colposcopy evaluation ranged from 2.4% to 16.5% among women treated for CIN2+ and from 0.7% to 16.8% among women untreated for CIN grade 1 or less (≤CIN1). Follow-up strategies included single or repeat cytology, human papillomavirus (HPV) testing, or combined HPV/cytology co-testing at various intervals. After negative follow-up test results, risk varied by follow-up strategy for both groups and by referral cytology severity for untreated women. Performance of follow-up strategies varied among treated women. Among untreated women, co-testing demonstrated greater sensitivity than cytology alone. In conclusion, women treated during colposcopy for CIN2+ and women with ≤CIN1 who were referred to colposcopy for low-grade cytology and who did not receive treatment may be able to return to population-based screening after negative co-testing results. Current evidence does not suggest that women untreated for ≤CIN1 who are referred for high-grade cytology be returned to screening at an average risk interval. The optimal strategy for colposcopy discharge needs ongoing evaluation as implementation of HPV testing evolves.

Risk of Advanced Adenoma, Colorectal Cancer, and Colorectal Cancer Mortality in People With Low-Risk Adenomas at Baseline Colonoscopy: A Systematic Review and Meta-Analysis.

OBJECTIVES: We conducted a systematic review and meta-analysis of the risk of advanced adenomas (AAs), colorectal cancer (CRC), and/or CRC-related death among individuals with low-risk adenomas (LRAs). METHODS: We searched PubMed and Embase for studies published between January 2006 and July 2015. Quality and strength of the evidence were rated using the Newcastle-Ottawa Scale (NOS) and the GRADE framework, respectively. RESULTS: Eleven observational studies (n=64,317) were included. A meta-analysis of eight cohort studies (n=10,139, 3 to 10 years' follow-up) showed a small but statistically significant increase in the incidence of AAs in individuals with LRAs compared with those with a normal baseline colonoscopy (RR 1.55 (95% CI 1.24-1.94); P=0.0001; I2=0%). The pooled 5-year cumulative incidence of AA was 3.28% (95% CI: 1.85-5.10%), 4.9% (95% CI: 3.18-6.97%), and 17.13% (95% CI: 11.97-23.0%) for the no adenoma, LRA, and AA baseline groups, respectively. Two studies, which could not be pooled, showed a reduction in the risk of CRC in individuals with LRAs compared with the general population (standardized incidence ratio 0.68 (95% CI 0.44-0.99) at a median follow-up of 7.7 years and OR 0.4 (95% CI 0.2-0.6) at 3-5 years). One large retrospective cohort study found a 25% reduction in CRC mortality in individuals with LRAs compared with the general population (SMR 0.75 (95% CI 0.63-0.88) at a median follow-up of 7.7 years). CONCLUSIONS: We observed a small but significant increase in the risk of AAs in people with LRAs compared with those with a normal baseline colonoscopy, but compared with the general population, people with LRAs have significantly lower risks of CRC and of CRC-related mortality.

The PQRS-Montreal: a measure of patients' perceptions of the quality of rehabilitation services for persons with a traumatic brain injury.

Purpose To determine the factorial validity, internal consistency, criterion-related and concurrent validity of the Perception of Quality of Rehabilitation Services - Montreal (PQRS-Montreal) questionnaire for persons receiving traumatic brain injury (TBI) rehabilitation services. Design Cross-sectional study. Setting Seventeen facilities providing acute care and intensive inpatient and outpatient TBI adult rehabilitation. Participants Five-hundred thirty adults (GCS = 3-15; mean age = 41.5 ± 16.9 years) who received rehabilitation were administered the questionnaire during an interview near time of discharge. Subjects responded to the 61 PQRS-Montreal items (five-point scale of agreement) and to the Client Satisfaction Question (CSQ8). Results Exploratory and confirmatory factor analyses identified three potential subscales (one- and two-factor solutions) explaining 26.1-41% of the variance (ecological approach, quality of team, service organization). The subscales' internal structures were interpretable and their internal consistency varied from 0.51 to 0.90 (Cronbach's α). Rehabilitation phase significantly and positively impacted factor scores and all factor scores were significantly and moderately correlated with CSQ8 scores. Conclusions The PQRS-Montreal possesses adequate psychometric properties supporting its use as a valid tool to measure patients' perception of the quality of TBI rehabilitation services. This tool could help guide the development and monitoring of TBI rehabilitation service delivery. Implications for Rehabilitation The importance of measuring and monitoring quality of care is increasingly important in rehabilitation. Using the experiences and perceptions of care of service users is a valid way of assessing the quality of rehabilitation services. The PQRS-Montreal has adequate psychometric properties supporting its use as a valid tool to measure patients' perception of the quality of TBI rehabilitation services. This tool could help guide the development and monitoring of TBI rehabilitation service delivery.

The association between multimorbidity and hospitalization is modified by individual demographics and physician continuity of care: a retrospective cohort study.

BACKGROUND: Multimorbidity poses a significant clinical challenge and has been linked to greater health services use, including hospitalization; however, we have little knowledge about the influence of contextual factors on outcomes in this population. OBJECTIVES: To describe the extent to which the association between multimorbidity and hospitalization is modified by age, gender, primary care practice model, or continuity of care (COC) among adults with at least one chronic condition. METHODS: A retrospective cohort study with linked population-based administrative data. SETTING: Ontario, Canada. COHORT: All individuals 18 and older with at least one of 16 priority chronic conditions as of April 1, 2009 (baseline). MAIN OUTCOME MEASURES: Any hospitalization, 3 or more hospitalizations, non-medical discharge delay, and 30-day readmission within the 1 year following baseline. RESULTS: Of 5,958,514 individuals, 484,872 (8.1 %) experienced 646,347 hospitalizations. There was a monotonic increase in the likelihood of hospitalization and related outcomes with increasing multimorbidity which was modified by age, gender, and COC but not primary care practice model. The effect of increasing multimorbidity was greater in younger adults than older adults and in those with lower COC than with higher COC. The effect of increasing multimorbidity on hospitalization was greater in men than women but reversed for the other outcomes. CONCLUSIONS: The effect of multimorbidity on hospitalization is influenced by age and gender, important considerations in the development of person-centred care models. Greater continuity of physician care lessened the effect of multimorbidity on hospitalization, further demonstrating the need for care continuity across providers for people with chronic conditions.

Under the same roof: co-location of practitioners within primary care is associated with specialized chronic care management.

BACKGROUND: International and national bodies promote interdisciplinary care in the management of people with chronic conditions. We examine one facilitative factor in this team-based approach - the co-location of non-physician disciplines within the primary care practice. METHODS: We used survey data from 330 General Practices in Ontario, Canada and New Zealand, as a part of a multinational study using The Quality and Costs of Primary Care in Europe (QUALICOPC) surveys. Logistic and linear multivariable regression models were employed to examine the association between the number of disciplines working within the practice, and the capacity of the practice to offer specialized and preventive care for patients with chronic conditions. RESULTS: We found that as the number of non-physicians increased, so did the availability of special sessions/clinics for patients with diabetes (odds ratio 1.43, 1.25-1.65), hypertension (1.20, 1.03-1.39), and the elderly (1.22, 1.05-1.42). Co-location was also associated with the provision of disease management programs for chronic obstructive pulmonary disease, diabetes, and asthma; the equipment available in the centre; and the extent of nursing services. CONCLUSIONS: The care of people with chronic disease is the 'challenge of the century'. Co-location of practitioners may improve access to services and equipment that aid chronic disease management.