Disparities in access to primary care are growing wider in Canada.

Canadian provinces and territories have undertaken varied reforms to how primary care is funded, organized, and delivered, but equity impacts of reforms are unclear. We explore disparities in access to primary care by income, educational attainment, dwelling ownership, immigration, racialization, place of residence (metropolitan/non-metropolitan), and sex/gender, and how these have changed over time, using data from the Canadian Community Health Survey (2007/08 and 2015/16 or 2017/18). We observe disparities by income, educational attainment, dwelling ownership, recent immigration, immigration (regular place of care), racialization (regular place of care), and sex/gender. Disparities are persistent over time or increasing in the case of income and racialization (regular medical provider and consulted with a medical professional). Primary care policy decisions that do not explicitly consider existing inequities may continue to entrench them. Careful study of equity impacts of ongoing policy reforms is needed.

Item selection, scaling and construct validation of the Patient-Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC) measurement tool in adults.

PURPOSE: To select and scale items for the seven domains of the Patient-Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC) and assess its construct validity. METHODS: Using an online survey, data on 100 potential items, and other variables for assessing construct validity, were collected from 1055 adults with one or more chronic health conditions. Based on a validated conceptual model, confirmatory factor analysis (CFA) and item response models (IRT) were used to select and scale potential items and assess the internal consistency and structural validity of the PRISM-CC. To further assess construct validity, hypothesis testing of known relationships was conducted using structural equation models. RESULTS: Of 100 potential items, 36 (4-8 per domain) were selected, providing excellent fit to our hypothesized correlated factors model and demonstrating internal consistency and structural validity of the PRISM-CC. Hypothesized associations between PRISM-CC domains and other measures and variables were confirmed, providing further evidence of construct validity. CONCLUSION: The PRISM-CC overcomes limitations of assessment tools currently available to measure patient self-management of chronic health conditions. This study provides strong evidence for the internal consistency and construct validity of the PRISM-CC as an instrument to assess patient-reported difficulty in self-managing different aspects of daily life with one or more chronic conditions. Further research is needed to assess its measurement equivalence across patient attributes, ability to measure clinically important change, and utility to inform self-management support.

Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods.

BACKGROUND: Coronavirus disease (COVID-19) presents an unprecedented threat to global health worldwide. Accurately predicting the mortality risk among the infected individuals is crucial for prioritizing medical care and mitigating the healthcare system's burden. The present study aimed to assess the predictive accuracy of machine learning methods to predict the COVID-19 mortality risk. METHODS: We compared the performance of classification tree, random forest (RF), extreme gradient boosting (XGBoost), logistic regression, generalized additive model (GAM) and linear discriminant analysis (LDA) to predict the mortality risk among 49,216 COVID-19 positive cases in Toronto, Canada, reported from March 1 to December 10, 2020. We used repeated split-sample validation and k-steps-ahead forecasting validation. Predictive models were estimated using training samples, and predictive accuracy of the methods for the testing samples was assessed using the area under the receiver operating characteristic curve, Brier's score, calibration intercept and calibration slope. RESULTS: We found XGBoost is highly discriminative, with an AUC of 0.9669 and has superior performance over conventional tree-based methods, i.e., classification tree or RF methods for predicting COVID-19 mortality risk. Regression-based methods (logistic, GAM and LASSO) had comparable performance to the XGBoost with slightly lower AUCs and higher Brier's scores. CONCLUSIONS: XGBoost offers superior performance over conventional tree-based methods and minor improvement over regression-based methods for predicting COVID-19 mortality risk in the study population.

The Team Assessment of Self-Management Support (TASMS): A new approach to uncovering how teams support people with chronic conditions.

Canadian and other healthcare systems are adopting primary care models founded on multidisciplinary, team-based care. This paper describes the development and use of a new tool, the Team Assessment of Self-Management Support (TASMS), designed to understand and improve the self-management support teams provide to patients with chronic conditions. Team Assessment of Self-Management Support captures the time providers spend supporting seven different types of self-management support (process strategies, resources strategies, disease controlling strategies, activities strategies, internal strategies, social interactions strategies, and healthy behaviours strategies), their referral patterns and perceived gaps in care. Four unique features make TASMS user-friendly: it is patient-centred, it uses provider-level data to create a team profile, it has the ability to be tailored to needs (diagnosis and visit type), and visual presentation of results are quickly and intuitively understood by both providers and planners. Currently being used by providers and planners in Nova Scotia, scaling up will allow more widespread use.

The structural and convergent validity of three commonly used measures of self-management in persons with neurological conditions.

PURPOSE: Self-management ability is commonly assessed in chronic disease research and clinical practice. The purpose of this study was to assess the structural and convergent validity of three commonly used self-management outcome measures in a sample of persons with neurological conditions. METHODS: We used data from a Canadian survey of persons with neurological conditions, which included three commonly used self-management measures: the Partners in Health Scale (PIH), the Patient Activation Measure (PAM), and the Self-Efficacy for Managing a Chronic Disease Scale (SEMCD). Confirmatory factor analysis was used to assess the structural and convergent validity of the three measures. RESULTS: When treated as single-factor constructs, none of the measurement models provided a good fit to the data. A four-domain version of the PIH was the best fitting model. Confirmatory factor analysis suggests that the three tools measure different, but correlated constructs. CONCLUSIONS: While the PAM, PIH and SEMCD scales are all used as measures of patient self-management, our study indicates that they measure different, but correlated latent variables. None, when treated as single, uni-dimensional construct, provides an acceptable fit to our data. This is probably because self-management is multi-dimensional, as is consistently shown by qualitative evidence. While these measures may provide reliable summative measures, multi-dimensional scales are needed for clinical use and more detailed research on self-management.

Discordance in Utility Measurement in Persons with Neurological Conditions: A Comparison of the SF-6D and the HUI3.

OBJECTIVES: To examine the extent of disagreement in estimated utility between the six-dimensional health state short form (SF-6D) and the Health Utilities Index-Mark 3 (HUI3) in Canadians with neurological conditions and how discordance varied by participant and neurological condition attributes. METHODS: The study analyzed cross-sectional survey data from the Living with and Managing the Impact of a Neurological Condition Study. Self-reported data were collected on the burden and impact of neurological conditions on participants' everyday lives. Disagreement was examined by comparing utility distributions, paired t tests of the means, Spearman ρ correlations, intraclass correlations, and Bland-Altman plots. Associations between participant and neurological condition attributes and utility differences were assessed using multiple regression models. RESULTS: Disagreement between the SF-6D and the HUI3 was substantial, with a mean utility difference of 0.15 (95% confidence interval 0.13-0.17). An intraclass correlation coefficient of 0.41 suggests only marginal agreement. The Bland-Altman plot and regression analysis showed systematic variation in utility difference associated with level of utility. Depending on the level of utility, utility differences between the SF-6D and the HUI3 shift in magnitude and direction. The pattern of disagreement did not vary substantially by participant or neurological condition characteristics. CONCLUSIONS: The SF-6D and the HUI3 provide inconsistent evaluations of utility in persons with neurological conditions. The magnitude and direction of differences in estimated utility are strongly associated with level of utility. Depending on the health status of the sample, the SF-6D and the HUI3 could provide widely contradictory utility estimates. A concern is that utility scores, and hence potential evaluations and health care decisions, may vary simply according to the choice of instrument.

Validation of the Patient Activation Measure (PAM-13) among adults with cardiac conditions in Singapore.

PURPOSE: The Patient Activation Measure (PAM-13) measures patients' knowledge, skill, and confidence in chronic condition self-management. The purpose of this study was to assess the validity of PAM-13 (English version) among English-speaking adults with cardiac conditions in Singapore. METHODS: A cross-sectional study was conducted in a convenient sample of 270 heart clinic patients. Using the unitary concept of validity, evidence of (1) internal structure via data quality, unidimensionality, differential item functioning, and internal consistency, (2) response process through item difficulty and item fit using Rasch modeling, and (3) relationship to other variables via correlations with depression and self-efficacy were examined. RESULTS: The item response was high with only one missing answer. All items had a small floor effect, but nine out of 13 items had a ceiling effect larger than 15 %. Cronbach's α was 0.86, and average inter-item correlations was 0.324. Results suggested unidimensionality; however, differences in item difficulty ranking were found. A low, negative correlation was found with depression, while a moderate, positive correlation was found with self-efficacy. CONCLUSION: Evidence in all three areas of validity were mixed. Caution should be exercised when using categorical activation "level" to inform clinical decisions.

Coping, adapting or self-managing - what is the difference? A concept review based on the neurological literature.

AIM: The aim of this study was to report: (1) an analysis of the concepts of coping, adaptation and self-management in the context of managing a neurological condition; and (2) the overlap between the concepts. BACKGROUND: The three concepts are often confused or used interchangeably. Understanding similarities and differences between concepts will avoid misunderstandings in care. The varied and often unpredictable symptoms and degenerative nature of neurological conditions make this an ideal population in which to examine the concepts. DESIGN: Concept analysis. DATA SOURCES: Articles were extracted from a large literature review about living with a neurological condition. The original searches were conducted using SCOPUS, EMBASE, CINAHL and Psych INFO. Seventy-seven articles met the inclusion criteria of: (1) original article concerning coping, adaptation or self-management of a neurological condition; (2) written in English; and (3) published between 1999-2011. METHODS: The concepts were examined according to Morse's concept analysis method; structural elements were then compared. RESULTS: Coping and adaptation to a neurological condition showed statistically significant overlap with a common focus on internal management. In contrast, self-management appears to focus on disease-controlling and health-related management strategies. Coping appears to be the most mature concept, whereas self-management is least coherent in definition and application. CONCLUSION: All three concepts are relevant for people with neurological conditions. Healthcare teams need to be cautious when using these terms to avoid miscommunication and to ensure clients have access to all needed interventions. Viewing the three concepts as a complex whole may be more aligned with client experience.

The Patient Activation Measure: a validation study in a neurological population.

PURPOSE: To assess the validity of the Patient Activation Measure (PAM13) of patient activation in persons with neurological conditions. METHODS: "The Everyday Experience of Living with and Managing a Neurological Condition" (The LINC study) surveyed 948 adults with neurological conditions residing in Canada in 2011 and 2012. Using data for 722 respondents who met coding requirements for the PAM-13, we examined the properties of the measure using principle components analysis, inter-item correlations and Cronbach's alpha to assess unidimensionality and internal consistency. Rasch modeling was used to assess item performance and scaling. Construct validity was assessed by calculating associations between the PAM and known correlates. RESULTS: PAM-13 provides a suitably reliable and valid instrument for research in patients with neurological conditions, but scaling problems may yield measurement error and biases for those with low levels of activation. This is of particular importance when used in clinical settings or for individual client care. Our study also suggests that measurement of activation may benefit from tailoring items and scaling to specific diagnostic groups such as people with neurological conditions, thus allowing the PAM-13 to recognize unique attributes and management challenges in those conditions. CONCLUSIONS: The PAM-13 is an internally reliable and valid tool for research purposes. The use of categorical activation "level" in clinical settings should be done with caution.

Collaboration behind-the-scenes: key to effective interprofessional education.

A variety of stakeholders, including students, faculty, educational institutions and the broader health care and social service communities, work behind-the-scenes to support interprofessional education initiatives. While program designers are faced with multiple challenges associated with implementing and sustaining such programs, little has been written about how program designers practice the interprofessional competencies that are expected of students. This brief report describes the backstage collaboration underpinning the Dalhousie Health Mentors Program, a large and complex pre-licensure interprofessional experience connecting student teams with community volunteer mentors who have chronic conditions to learn about interprofessional collaboration and patient/client-centered care. Based on our experiences, we suggest that just as students are required to reflect on collaborative processes, interprofessional program designers should examine the ways in which they work together and take into consideration the impact this has on the delivery of the educational experience.

Mediating Effects of Self-Efficacy and Illness Perceptions on Mental Health in Men with Localized Prostate Cancer: A Secondary Analysis of the Prostate Cancer Patient Empowerment Program (PC-PEP) Randomized Controlled Trial.

Understanding how interventions reduce psychological distress in patients with prostate cancer is crucial for improving patient care. This study examined the roles of self-efficacy, illness perceptions, and heart rhythm coherence in mediating the effects of the Prostate Cancer Patient Empowerment Program (PC-PEP) on psychological distress compared to standard care. In a randomized controlled trial, 128 patients were assigned to either the PC-PEP intervention or standard care. The PC-PEP, a six-month program emphasizing daily healthy living habits, included relaxation and stress management, diet, exercise, pelvic floor muscle exercises, and strategies to improve relationships and intimacy, with daily activities supported by online resources and live sessions. Participants in the intervention group showed significant improvements in self-efficacy and specific illness perceptions, such as personal control and emotional response, compared to the control group. These factors mediated the relationship between the intervention and its psychological benefits, with self-efficacy accounting for 52% of the reduction in psychological distress. No significant differences in heart rhythm coherence were observed. This study highlights the critical role of self-efficacy and illness perceptions in enhancing psychological health in prostate cancer patients through the PC-PEP. The results underscore this program's effectiveness and the key mechanisms through which it operates. Given the high rates of distress among men undergoing prostate cancer treatments, these findings emphasize the importance of integrating the PC-PEP into clinical practice. The implementation of the PC-PEP in clinical settings can provide a structured approach to reducing psychological distress and improving overall patient well-being.

Six-Month Prostate Cancer Empowerment Program (PC-PEP) Improves Urinary Function: A Randomized Trial.

Purpose: This is a secondary analysis examining a six-month home-based Prostate Cancer-Patient Empowerment Program (PC-PEP) on patient-reported urinary, bowel, sexual, and hormonal function in men with curative prostate cancer (PC) against standard of care. Methods: In a crossover clinical trial, 128 men scheduled for PC surgery (n = 62) or radiotherapy with/without hormones (n = 66) were randomized to PC-PEP (n = 66) or waitlist-control and received the standard of care for 6 months, and then PC-PEP to the end of the year. PC-PEP included daily emails with video instructions, aerobic and strength training, dietary guidance, stress management, and social support, with an initial PFMT nurse consultation. Over 6 months, participants in the PC-PEP received optional text alerts (up to three times daily) reminding them to follow the PFMT video program, encompassing relaxation, quick-twitch, and endurance exercises; compliance was assessed weekly. Participants completed baseline, 6, and 12-month International Prostate Symptom Score (IPSS) and Expanded Prostate Cancer Index Composite (EPIC) questionnaires. Results: At 6 months, men in the PC-PEP reported improved urinary bother (IPSS, p = 0.004), continence (EPIC, p < 0.001), and irritation/obstruction function (p = 0.008) compared to controls, with sustained urinary continence benefits at 12 months (p = 0.002). Surgery patients in the waitlist-control group had 3.5 (95% CI: 1.2, 10, p = 0.024) times and 2.3 (95% CI: 0.82, 6.7, p = 0.11) times higher odds of moderate to severe urinary problems compared to PC-PEP at 6 and 12 months, respectively. Conclusions: PC-PEP significantly improves lower urinary tract symptoms, affirming its suitability for clinical integration alongside established mental health benefits in men with curative prostate cancer.

The everyday experience of living with and managing a neurological condition (the LINC study): study design.

BACKGROUND: The impact of neurological conditions on individuals, families and society is increasing and having a significant economic impact in Canada. While some economic data is known, the human costs of living with a neurological condition are poorly understood and rarely factored into future burden analyses. The "Living with the Impact of a Neurological Condition (LINC)" study aims to fill this gap. It seeks to understand, for children and adults with neurological conditions, the supports and resources that make everyday life possible and meaningful. METHODS/DESIGN: The LINC study is a nested study using mixed methods. We are interested in the following outcomes specifically: health status; resource utilization; self-management strategies; and participation. Three studies captured data from multiple sources, in multiple ways and from multiple perspectives. Study One: a population-based survey of adults (n=1500), aged 17 and over and parents (n=200) of children aged 5 to 16 with a neurological condition. Study Two: a prospective cohort study of 140 adults and parents carried out using monthly telephone calls for 10 months; and Study Three: a multiple perspective case study (MPCS) of 12 adults and 6 parents of children with a neurological condition. For those individuals who participate in the MPCS, we will have data from all three studies giving us rich, in depth insights into their daily lives and how they cope with barriers to living in meaningful ways. DISCUSSION: The LINC study will collect, for the first time in Canada, data that reflects the impact of living with a neurological condition from the perspectives of the individuals themselves. A variety of tools will be used in a combination, which is unique and innovative. This study will highlight the commonalities of burden that Canadians living with neurological conditions experience as well as their strategies for managing everyday life.

Integrating health geography and behavioral economic principles to strengthen context-specific behavior change interventions.

The long-term economic viability of modern health care systems is uncertain, in part due to costs of health care at the end of life and increasing health care utilization associated with an increasing population prevalence of multiple chronic diseases. Control of health care spending and sustaining delivery of health care services will require strategic investments in prevention to reduce the risk of disease and its complications over an individual's life course. Behavior change interventions aimed at reducing a range of harmful and risky health-related behaviors including smoking, physical inactivity, excess alcohol consumption, and excess weight, are one approach that has proven effective at reducing risk and preventing chronic disease. However, large-scale efforts to reduce population-level chronic diseases are challenging and have not been very successful at reducing the burden of chronic diseases. A new approach is required to identify when, where, and how to intervene to disrupt patterns of behavior associated with high-risk factors using context-specific interventions that can be scaled. This paper introduces the need to integrate theoretical and methodological principles of health geography and behavioral economics as opportunities to strengthen behavior change interventions for the prevention of chronic diseases. We discuss how health geography and behavioral economics can be applied to expand existing behavior change frameworks and how behavior change interventions can be strengthened by characterizing contexts of time and activity space.

Behavior change interventions are challenged by lack of information about the contexts influencing decisions patients make as part of their daily routine such as when, where, and how health behaviors occur. A new approach is required to strengthen behavior change interventions by integrating contexts of time and activity space so that strategies can be scaled across populations to influence how individuals make decisions about improving their health behaviors. Incorporating ideas from health geography and behavioral economics into the design of behavior change interventions provides an opportunity to collect and investigate individual-level health information characterizing contexts of individuals' activities across space, connections to place, time management, and patterns in behavior over time. By visualizing and characterizing key spatiotemporal contexts about an individual's day-to-day routine, insight can be gained about where and for how long activities occur and what opportunities exist for adapting day-to-day routines. This paper will discuss how theory from health geography could be applied to understand contexts influencing behaviors and how spatiotemporal information could be applied for the purpose of tailoring behavioral economic strategies to strengthen the design of behavior change interventions.

A Comprehensive 6-mo Prostate Cancer Patient Empowerment Program Decreases Psychological Distress Among Men Undergoing Curative Prostate Cancer Treatment: A Randomized Clinical Trial.

BACKGROUND: Although survival rates for newly diagnosed prostate cancer patients are very high, most of them will likely suffer significant treatment-related side effects, depression, or anxiety, affecting their quality of life. OBJECTIVE: The aim of this study was to examine the effects of a 6-mo online home-based physical, mental, and social support intervention, the Prostate Cancer Patient Empowerment Program (PC-PEP), on preventing psychological distress among men undergoing curative prostate cancer treatment. DESIGN, SETTING, AND PARTICIPANTS: In a crossover randomized clinical trial of 128 men aged 50-82 yr scheduled for curative prostate cancer surgery or radiotherapy (± hormone treatment), 66 received the 6-mo PC-PEP intervention and 62 were randomized to a waitlist-control arm and received the standard of care for 6 mo, and then PC-PEP to the end of the year. The PC-PEP intervention consisted of daily e-mails with video instructions providing education, patient activation, and empowerment on healthy living including physical and mental health, dietary recommendations, social support, physical and pelvic floor fitness, stress reduction using a biofeedback device, social connection and intimacy, and social support. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome was nonspecific psychological distress (clinical cutoff ≥20) measured at baseline, and at 6 and 12 mo using the Kessler Psychological Distress Scale (K10). RESULTS AND LIMITATIONS: At 6 mo, patients in the waitlist-control group had 3.59 (95% confidence interval: 1.12-11.51) times higher odds for nonspecific psychological distress and need for psychological treatment than men who received the PC-PEP intervention. At 12 mo, the wait-list control group that received the intervention at 6 mo had higher psychological distress than the early group. CONCLUSIONS: PC-PEP delivered early following diagnosis significantly prevented the burden of psychological distress in men undergoing curative prostate cancer treatment compared with standard of care, or late (6 mo later) intervention. PATIENT SUMMARY: In this report, we looked at the effectiveness of a program (Prostate Cancer Patient Empowerment Program: PC-PEP) developed with patients' engagement on the mental distress of patients awaiting curative treatment for their prostate cancer. The PC-PEP program lasted for 6 mo, and it prescribed, described, and demonstrated daily aerobic and strength training, kegels (pelvic floor training to help with urinary and sexual function), dietary changes that have been shown to be helpful in the prevention of prostate cancer and prostate cancer progression, stress reduction using a biofeedback device, as well as social and emotional support. All patients in the PC-PEP program were invited to a monthly video conference with the leads of the program who appeared in the 6 mo of daily videos prescribing the activities the patients were asked to watch and follow. The leads were a prostate cancer oncologist and a scientist in prostate cancer quality of life research. Half of the patients in this study received PC-PEP daily for the first 6 mo and were re-assessed at the end of the year. The other half received standard of care for 6 month and then received the intervention to the end of the year. The results of the study show that, at 6 mo, this intervention was effective at reducing the mental distress that accompanies a prostate cancer diagnosis and treatment compared with the standard of care. Mental distress was significantly reduced when the intervention was received early, compared with that received late (6 mo after scheduled curative treatment). We conclude that multi-faceted patient education and empowerment programming of this kind that is developed with patient engagement from the start is crucial to the care of patients diagnosed with prostate cancer and should be implemented in the standard of care. While treatment for prostate cancer is highly successful, side effects that accompany most treatments significantly affect the quality of life of patients. Here, we describe PC-PEP, a patient education and activation program that is cost effective, highly enforced by patients, and successful at reducing the impact of prostate cancer active treatment-related side effects on their psychological state. To learn more about this project, please visit www.pcpep.org. The program is now being tested in a phase 4 implementation trial throughout Canada and internationally (New Zealand), and is being expanded and tested for other types of cancer.

A team approach to improving colorectal cancer services using administrative health data.

BACKGROUND: Colorectal cancer (CRC) is the third most commonly diagnosed cancer in Canada and accounts for 11.9% of all cancer-related mortality. Fortunately, previous studies have provided evidence of improved outcomes from access to timely and appropriate health services along the disease trajectory in CRC. As a result, the CIHR/CCNS Team in Access to Colorectal Cancer Services in Nova Scotia (Team ACCESS) was created to build colorectal cancer (CRC) research capacity in Nova Scotia (NS) and to study access to and quality of CRC services along the entire continuum of cancer care. OBJECTIVES: The objectives of this paper are to: 1) provide a detailed description of the methodologies employed across the various studies being conducted by Team ACCESS; 2) demonstrate how administrative health data can be used to evaluate access and quality in CRC services; and 3) provide an example of an interdisciplinary team approach to addressing health service delivery issues. METHODS: All patients diagnosed with CRC in NS between 2001 and 2005 were identified through the Nova Scotia Cancer Registry (NSCR) and staged using the Collaborative Stage Data Collection System. Using administrative databases that were linked at the patient level, Team ACCESS created a retrospective longitudinal cohort with comprehensive demographic, clinical, and healthcare utilization data. These data were used to examine access to and quality of CRC services in NS, as well as factors affecting access to and quality of care, at various transition points along the continuum of care. Team ACCESS has also implemented integrated knowledge translation strategies targeting policy- and decision- makers. DISCUSSION: The development of Team ACCESS represents a unique approach to CRC research. We anticipate that the skills, tools, and knowledge generated from our work will also advance the study of other cancer disease sites in NS. Given the increasing prevalence of cancer, and with national and provincial funding agencies promoting collaborative research through increased funding for research team development, the work carried out by Team ACCESS is important in the Canadian context and exemplifies how a team approach is essential to comprehensively addressing issues surrounding not only cancer, but other chronic diseases in Canada.

Examining variations in health within rural Canada.

INTRODUCTION: Differences in health between urban and rural areas of Canada are well documented. Canadian rural communities are remarkably heterogeneous in terms of social, economic, and geographic characteristics. There is reason to believe that there is also considerable heterogeneity in health within rural Canada but existing literature has not given this adequate consideration. This article describes heterogeneity in health along the urban-rural continuum, both between and within categories of rural areas. Factors that may explain observed variations are then examined. METHODS: The study population included all adult (>18 years) respondents on the Canadian Community Health Survey Cycle 1.1, linked to census subdivision-level data from the corresponding Canadian Census. Study areas were classified according to Metropolitan Influenced Zones (MIZ), which group rural areas based on their degree of connectivity with nearby urban areas. Dichotomized Health Utilities Index (HUI) scores were the outcome variable. Random-intercept logistic regression models investigated the associations of HUI with individual and area characteristics. To describe between-area variation in health, the proportion of the total variation accounted for by the area random effect (the intra-class correlation coefficient [ICC]) was estimated. To aid interpretation of the magnitude of the effect of area relative to other variables in the models, the ICC was also expressed as a median odds ratio (MOR), or the median amount by which the probability of disability will change for an individual who moves from one area to another. RESULTS: On a descriptive level, poorer health was observed in more remote rural areas, but the size of estimated effects for categories of rural areas was generally small compared with effects of other individual and area variables, and with the degree of heterogeneity between areas. The composition of rural areas is important in order to understand patterns in health. Individual income, education, and employment, and area characteristics such as Francophone or Aboriginal populations, and migration patterns help explain the gradient in health by MIZ, but considerable heterogeneity in health within categories of MIZ remains. In models stratified by MIZ, significant between-area heterogeneity was observed in all models, with MORs ranging from 1.18 to 1.53. CONCLUSION: It was observed that heterogeneity in health among rural areas is substantial, and generally larger than the effect of rurality, itself, on health. More attention is needed to understand the characteristics of Canada's heterogeneous rural communities, and the different processes by which disparities in health emerge and persist. The findings suggest that a focus on rurality alone, emphasizing urban versus rural disparities, or even continuum-based approaches like MIZ, may be less informative than finding ways to classify and examine different types of rural areas according to factors relevant to health.

Nursing inputs and outcomes of hospital care: an empirical analysis of Ontario's acute-care hospitals.

The authors analyze the association between intensity of nursing care (as measured by nursing hours per patient day), hospital bed days, and patient outcomes in acute-care hospitals in the province of Ontario, Canada, to determine whether higher levels of nursing inputs are associated with shorter lengths of stay (LOS) and, if so, whether these shorter LOS are achieved at the expense of health outcomes. After controlling for supply of nurses, workload, community characteristics, and hospital type, the authors found that nursing hours per patient day had a significant negative effect on LOS but had no significant effect on patient satisfaction, hospital mortality, or readmission rates. Further, there was no evidence that shorter than expected LOS were associated with poorer patient health. Such information is relevant for efforts to deploy efficient mixes of health-care resources and to identify future human resource requirements to support the efficient provision of health human resources.

Understanding different methodological approaches to measuring inequity in health care.

The objectives of this study were to classify different methodological approaches to measuring inequity in health care, identify the strengths and weaknesses of each approach, and suggest directions for future improvement of each approach. The authors classified three approaches to measuring inequity in health care according to: (1) collective expert judgments (clinical standard approach), (2) average health care use based on need (population standard approach), and (3) assessment of health care users or providers (direct approach). The clinical standard approach has strong face validity and immediate policy implication, while lacking global policy implications. The population standard approach offers a global picture of inequity but has weak face validity. The direct approach can reveal private information of health care users and offer opportunity for managing public expectation. Strengths and limitations of these approaches are complementary, suggesting directions for future improvements of each approach. This study will help researchers make a well-informed choice of measurement approach and assist policymakers in resolving some of the problems caused by the diverse findings of studies, partly due to the measurement approaches taken.

Potential of community-based risk estimates for improving hospital performance measures and discharge planning.

BACKGROUND: Risk-adjusted rates of hospital readmission are a common indicator of hospital performance. There are concerns that current risk-adjustment methods do not account for the many factors outside the hospital setting that can affect readmission rates. Not accounting for these external factors could result in hospitals being unfairly penalized when they discharge patients to communities that are less able to support care transitions and disease management. While incorporating adjustments for the myriad of social and economic factors outside of the hospital setting could improve the accuracy of readmission rates as a performance measure, doing so has limited feasibility due to the number of potential variables and the paucity of data to measure them. This paper assesses a practical approach to addressing this problem: using mixed-effect regression models to estimate case-mix adjusted risk of readmission by community of patients' residence (community risk of readmission) as a complementary performance indicator to hospital readmission rates. METHODS: Using hospital discharge data and mixed-effect regression models with a random intercept for community, we assess if case-mix adjusted community risk of readmission can be useful as a quality indicator for community-based care. Our outcome of interest was an unplanned repeat hospitalisation. Our primary exposure was community of residence. RESULTS: Community of residence is associated with case-mix adjusted risk of unplanned repeat hospitalisation. Community risk of readmission can be estimated and mapped as indicators of the ability of communities to support both care transitions and long-term disease management. CONCLUSION: Contextualising readmission rates through a community lens has the potential to help hospitals and policymakers improve discharge planning, reduce penalties to hospitals, and most importantly, provide higher quality care to the people that they serve.