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Haemodialysis centres have conventionally provided maintenance haemodialysis using a standard dialysate temperature (eg, 36·5°C) for all patients. Many centres now use cooler dialysate (eg, 36·0°C or lower) for potential cardiovascular benefits. We aimed to assess whether personalised cooler dialysate, implemented as centre-wide policy, reduced the risk of cardiovascular-related death or hospital admission compared with standard temperature dialysate.MyTEMP was a pragmatic, two-arm, parallel-group, registry-based, open-label, cluster-randomised, superiority trial done at haemodialysis centres in Ontario, Canada. Eligible centres provided maintenance haemodialysis to at least 15 patients a week, and the medical director of each centre had to confirm that their centre would deliver the assigned intervention. Using covariate-constrained randomisation, we allocated 84 centres (1:1) to use either personalised cooler dialysate (nurses set the dialysate temperature 0·5-0·9°C below each patient's measured pre-dialysis body temperature, with a lowest recommended dialysate temperature of 35·5°C), or standard temperature dialysate (36·5°C for all patients and treatments). Patients and health-care providers were not masked to the group assignment; however, the primary outcome was recorded in provincial databases by medical coders who were unaware of the trial or the centres' group assignment. The primary composite outcome was cardiovascular-related death or hospital admission with myocardial infarction, ischaemic stroke, or congestive heart failure during the 4-year trial period. Analysis was by intention to treat. The study is registered at ClinicalTrials.gov, NCT02628366.We assessed all of Ontario's 97 centres for inclusion into the study. Nine centres had less than 15 patients and one director requested that four of their seven centres not participate. 84 centres were recruited and on Feb 1, 2017, these centres were randomly assigned to administer personalised cooler dialysate (42 centres) or standard temperature dialysate (42 centres). The intervention period was from April 3, 2017, to March 31, 2021, and during this time the trial centres provided outpatient maintenance haemodialysis to 15 413 patients (about 4·3 million haemodialysis treatments). The mean dialysate temperature was 35·8°C in the cooler dialysate group and 36·4°C in the standard temperature group. The primary outcome occurred in 1711 (21·4%) of 8000 patients in the cooler dialysate group versus 1658 (22·4%) of 7413 patients in the standard temperature group (adjusted hazard ratio 1·00, 96% CI 0·89 to 1·11; p=0·93). The mean drop in intradialytic systolic blood pressure was 26·6 mm Hg in the cooler dialysate group and 27·1 mm Hg in the standard temperature group (mean difference -0·5 mm Hg, 99% CI -1·4 to 0·4; p=0·14).Centre-wide delivery of personalised cooler dialysate did not significantly reduce the risk of major cardiovascular events compared with standard temperature dialysate. The rising popularity of cooler dialysate is called into question by this study, and the risks and benefits of cooler dialysate in some patient populations should be clarified in future trials.Canadian Institutes of Health Research, Heart and Stroke Foundation of Canada, Ontario Renal Network, Ontario Strategy for Patient-Oriented Research Support Unit, Dialysis Clinic, Inc., ICES (formerly known as the Institute for Clinical Evaluative Sciences), Lawson Health Research Institute, and Western University.

The post-acute burden of health care use after SARS-CoV-2 infection is unknown. We sought to quantify the post-acute burden of health care use after SARS-CoV-2 infection among community-dwelling adults in Ontario by comparing those with positive and negative polymerase chain reaction (PCR) test results for SARS-CoV-2 infection.We conducted a retrospective cohort study involving community-dwelling adults in Ontario who had a PCR test between Jan. 1, 2020, and Mar. 31, 2021. Follow-up began 56 days after PCR testing. We matched people 1:1 on a comprehensive propensity score. We compared per-person-year rates for health care encounters at the mean and 99th percentiles, and compared counts using negative binomial models, stratified by sex.Among 531 702 matched people, mean age was 44 (standard deviation [SD] 17) years and 51% were female. Females who tested positive for SARS-CoV-2 had a mean of 1.98 (95% CI 1.63 to 2.29) more health care encounters overall per-person-year than those who had a negative test result, with 0.31 (95% CI 0.05 to 0.56) more home care encounters to 0.81 (95% CI 0.69 to 0.93) more long-term care days. At the 99th percentile per-person-year, females who tested positive had 6.48 more days of hospital admission and 28.37 more home care encounters. Males who tested positive for SARS-CoV-2 had 0.66 (95% CI 0.34 to 0.99) more overall health care encounters per-person-year than those who tested negative, with 0.14 (95% CI 0.06 to 0.21) more outpatient encounters and 0.48 (95% CI 0.36 to 0.60) long-term care days, and 0.43 (95% CI -0.67 to -0.21) fewer home care encounters. At the 99th percentile, they had 8.69 more days in hospital per-person-year, with fewer home care (-27.31) and outpatient (-0.87) encounters.We found significantly higher rates of health care use after a positive SARS-CoV-2 PCR test in an analysis that matched test-positive with test-negative people. Stakeholders can use these findings to prepare for health care demand associated with post-COVID-19 condition (long COVID).

This study evaluated level of service need before and after a short-term community mental health case management intervention from the perspective of both clients and case managers. Ontario Common Assessment of Need data were used to describe client needs. McNemar's test was applied to assess differences in pre- and post- need scores. Psychological distress, company, daytime activities, and physical health were most commonly rated by clients as unmet needs at enrolment. At discharge, there was a significant change in psychological distress from the perspective of clients, and in psychological distress and daytime activities from the perspective of case managers. Statistically significant changes were observed for Total Need, Total Unmet Need and Met Need scores from the perspective of case managers. While both clients and case managers reported changes in total service needs between admission and discharge from short-term case management, clients were less likely to report a difference in needs.

Objectives Globally, there has been a shift towards integrated care delivery and patient-centredness in the design of health services. Such a transformation is underway in Ontario, which is progressively using an interprofessional team-based approach known as Ontario Health Teams (OHTs) to deliver care. During their initial development, OHTs were required to integrate patient and families’ preferences, experiences and opinions in the form of consultation and partnership with patient and family advisors (PFAs). This study aimed to understand how PFAs were involved in the early stages of planning for health system change and the perceived benefits of including PFAs in system reform. Methods This study used a qualitative descriptive design. Semi-structured interviews were conducted with 126 participants at 12 OHTs, including PFA ( n = 16) and non-PFA ( n = 110) members (e.g. clinicians). Data were analysed thematically. Results We identified four themes; mechanisms of engagement, motivations to engage, challenges to PFA engagement and PFAs’ impact and added value. Overall, participants viewed PFA engagement positively and PFAs felt valued and empowered. There remain logistical challenges around PFA compensation, and the amount of time and training expected of PFAs. However, all participants believed that developing an understanding of the patient, caregiver and family experience will strengthen the engagement of PFAs in OHT planning, decisions and policies. Conclusions Diverse approaches to and stages of PFA engagement fostered meaningful and highly valued contributions to OHT development. These were considered critical to successfully achieving the mandate of patient-centred care reform.

Background Primary care surveys are a key source of evaluative data; understanding how survey respondents compare to the intended population is important to understand results in context. The objective of this study was to examine the physician and patient representativeness of two primary care surveys (TRANSFORMATION and QUALICOPC) that each used different sampling and recruitment techniques. Methods We linked the physician and patient participants of the two surveys to health administrative databases. Patients were compared to other patients visiting the practice on the same day and other randomly selected dates using sociodemographic data, chronic disease diagnosis, and health system utilization. Physicians were compared to other physicians in the same practice, and other physicians in the intended geographic area using sociodemographic and practice characteristics. Results Physician respondents of the TRANSFORMATION survey included more males compared to their practice groups, but not to other physicians in the area. TRANSFORMATION physicians cared for a larger roster of patients than other physicians in the area. Patient respondents of the QUALICOPC survey did not have meaningful differences from other patients who visit the practice. Patient respondents of the TRANSFORMATION survey resided in more rural areas, had less chronic disease, and had lower use of health services than other patients visiting the practice. Conclusion Differences in survey recruitment methods at the physician and patient level may help to explain some of the differences in representativeness. When conducting primary care surveys, investigators should consider diverse methods of ensuring representativeness to limit the potential for nonresponse bias.

How does leadership emerge and function when multiple health care organizations come together to form a network? In this qualitative comparative case study, we draw on distributed leadership theory to examine the leadership practices that manifested during the implementation of three coordinated care networks. Thirty leaders and care providers participated in semistructured interviews. Interview data were inductively analyzed using thematic analysis. Although established in response to the same policy initiative, each case differed in its leadership approach and implementation strategy. We found that manifestation of distributed leadership was contingent on the presence of an individual leader who acted as a unifying force across their respective network. Our findings suggest that policies to encourage the development of interorganizational networks should include sufficient resources to support an individual leader who enables distributed leadership.

In 2019, the Government of Ontario announced a health system transformation to end hallway healthcare by implementing integrated care systems known as Ontario Health Teams (OHTs). Establishing an integrated care system is a monumental task requiring collaborative and participatory leadership structures. Based on a survey of 480 OHT signatory members and 125 in-depth interviews with leaders from 12 OHTs, we describe how developing OHTs conceptualized and executed leadership. While collaborative leadership is common, the approaches are varied and the leadership structure is informed by contextual differences. We provide suggestions on how to support the success of collaborative leadership for decision and policy makers, leaders and anyone working toward integrated care.

Objective To identify and explore differences in spending and utilization of key health services at the end of life among hip fracture patients across seven developed countries. Data Sources Individual-level claims data from the inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC). Study Design We retrospectively analyzed utilization and spending from acute hospital care, emergency department, outpatient primary care and specialty physician visits, and outpatient drugs. Patterns of spending and utilization were compared in the last 30, 90, and 180 days across Australia, Canada, England, Germany, New Zealand, Spain, and the United States. We employed linear regression models to measure age- and sex-specific effects within and across countries. In addition, we analyzed hospital-centricity, that is, the days spent in hospital and site of death. Data Collection/Extraction Methods We identified patients who sustained a hip fracture in 2016 and died within 12 months from date of admission. Principal Findings Resource use, costs, and the proportion of deaths in hospital showed large variability being high in England and Spain, while low in New Zealand. Days in hospital significantly decreased with increasing age in Canada, Germany, Spain, and the United States. Hospital spending near date of death was significantly lower for women in Canada, Germany, and the United States. The age gradient and the sex effect were less pronounced in utilization and spending of emergency care, outpatient care, and drugs. Conclusions Across seven countries, we find important variations in end-of-life care for patients who sustained a hip fracture, with some differences explained by sex and age. Our work sheds important insights that may help ongoing health policy discussions on equity, efficiency, and reimbursement in health care systems.

ObjectivePatient and family engagement (PE) in health service planning and improvement is widely advocated, yet little prior research offered guidance on how to optimise PE, particularly in hospitals. This study aimed to engage stakeholders in generating evidence-informed consensus on recommendations to optimise PE.DesignWe transformed PE processes and resources from prior research into recommendations that populated an online Delphi survey.Setting and participantsPanellists included 58 persons with PE experience including: 22 patient/family advisors and 36 others (PE managers, clinicians, executives and researchers) in round 1 (100%) and 55 in round 2 (95%).Outcome measuresRatings of importance on a seven-point Likert scale of 48 strategies organised in domains: engagement approaches, strategies to integrate diverse perspectives, facilitators, strategies to champion engagement and hospital capacity for engagement.ResultsOf 50 recommendations, 80% or more of panellists prioritised 32 recommendations (27 in round 1, 5 in round 2) across 5 domains: 5 engagement approaches, 4 strategies to identify and integrate diverse patient/family advisor perspectives, 9 strategies to enable meaningful engagement, 9 strategies by which hospitals can champion PE and 5 elements of hospital capacity considered essential for supporting PE. There was high congruence in rating between patient/family advisors and healthcare professionals for all but six recommendations that were highly rated by patient/family advisors but not by others: capturing diverse perspectives, including a critical volume of advisors on committees/teams, prospectively monitoring PE, advocating for government funding of PE, including PE in healthcare worker job descriptions and sharing PE strategies across hospitals.ConclusionsDecision-makers (eg, health system policy-makers, hospitals executives and managers) can use these recommendations as a framework by which to plan and operationalise PE, or evaluate and improve PE in their own settings. Ongoing research is needed to monitor the uptake and impact of these recommendations on PE policy and practice.

Background:Certain combinations of medications can be harmful and may lead to serious drug-drug interactions. Identifying potentially problematic medication clusters could help guide prescribing decisions in hospital.Objectives:To characterize medication prescribing patterns at hospital discharge and determine which medication clusters are associated with an increased risk of adverse drug events (ADEs) in the 30-days post hospital discharge.Methods:All residents of the province of Ontario in Canada aged 66 years or older admitted to hospital between March 2016-February 2017 were included. Identification of medication prescribing clusters at hospital discharge was conducted using latent class analysis. Cluster identification was based on medications dispensed 30-days post-hospitalization. Multivariable logistic regression was used to assess the potential association between membership to a particular medication cluster and ADEs post-discharge, while also evaluating other patient characteristics.Results:188,354 patients were included in the study cohort. Median age (IQR) was 77 (71-84) and patients had a median (IQR) of 9 (6-13) medications dispensed in the year prior to admission. The study population consisted of 6 separate clusters of dispensing patterns post discharge: Cardiovascular (14%), respiratory (26%), complex care needs (12%), cardiovascular and metabolic (15%), infection (10%) and surgical (24%). Overall, 12,680 (7%) patients had an ADE in the 30-days following discharge. After considering other patient characteristics, those in the respiratory cluster had the highest risk of ADEs (aOR: 1.12, 95% CI: 1.08-1.17) compared to all the other clusters, while those in the neurocognitive & complex care needs cluster had the lowest risk (aOR:0.82, 95% CI: 0.77-0.87).Conclusion:This study suggests that ADEs post hospital discharge are linked to identifiable clusters of medications, in addition to non-modifiable patient characteristics, such as age and certain comorbidities. This information may help clinicians and researchers better understand what patient populations and which types of interventions may benefit patients, to reduce their risk of experiencing an ADE.KEY POINTSThis study suggests that ADEs post hospital discharge are linked to identifiable clusters of medications, in addition to non-modifiable patient characteristics, such as age and certain comorbidities. This information may help clinicians and researchers better understand what patient populations and which types of interventions may benefit patients, to reduce their risk of experiencing an ADE.PLAIN LANGUAGE SUMMARYCertain combinations of medications prescribed to patients when they are being discharged from hospital can increase the risk of adverse events after hospital discharge.

Despite growing emphasis on adopting team-based models of primary care to facilitate patient access to a diverse range of care providers, our understanding of team functioning within primary care teams remains limited. This study examined interprofessional teamwork within primary care practices (Family Health Teams [FHT] and Community Health Centers - [CHC]) in Ontario and explored team-level and organizational factors associated with interprofessional teamwork. Interprofessional teamwork was measured using the Collaborative Practice Assessment Tool (CPAT), which was completed by providers in each participating team. The CPAT responses of 988 providers representing on average 12 professions (sd = 2.1) across 66 teams (44 FHTs and 22 CHCs) were included in the analysis. The average CPAT score was 46.6 (sd = 2.5). CHCs had significantly higher CPAT scores than FHTs (mdiff = 1.7, p = .02). Using diverse communication mechanisms to share information, increasing quality improvement capacities, and age of practice, had a statistically significant positive association with CPAT scores. Increasing team size, using centralized administrative processes, a high level of information exchange, and having a mixed governance board were significantly negatively associated with CPAT score. Findings illustrate factors associated with interprofessional teamwork and offer insight into the comparative performance of two team-based primary care models in Ontario.

BACKGROUND: Healthcare spending is concentrated, with a minority of the population accounting for the majority of healthcare costs. METHODS: The authors modelled the impact of high resource user (HRU) prevention strategies within five years using the validated High Resource User Population Risk Tool. RESULTS: The authors estimated 758,000 new HRUs in Ontario from 2013–2014 to 2018–2019, resulting in $16.20 billion in healthcare costs (Canadian dollars 2016). The prevention approach that had the largest reduction in HRUs was targeting health-risk behaviours. CONCLUSIONS: This study demonstrates the use of a policy tool by decision makers to support prevention approaches that consider the impact on HRUs and estimated healthcare costs.

Purpose/setting To encourage clinical and financial efficiency, the Canadian province of Ontario initiated an integrated care program – Integrated Funding Models (IFMs) that required collaboration and coordination across acute and post-acute care sectors. This research shows how program implementers went beyond policy-makers’ original designs, to make integrated care sustainable for chronic diseases. Methods Forty-five interviews were conducted with program participants at three chronic disease programs, as well as with policymakers. Interviews were conducted over two phases; during early implementation in 2016, and as programs matured in 2018. Data were analyzed through a cultural constructivist lens to understand how participants shaped programs. Findings Participants desired greater accountability and control. Participants in the first program wanted localized control over decision-making. In the second, participants initiated greater control over financial uncertainty. In the third program, hospital participants sought greater control over community care. Participants across programs simultaneously wanted integrated care to be expanded holistically, spatially, and temporally for patients, extending the length of care, and expanding the spaces in which care was provided. Findings also suggest a gap between program implementers’ and policymakers’ conceptualizations of integrated care. Conclusion This work shows how IFMs were reimagined in ways that transcended their original conceptualization as spatially and temporally delimited initiatives aimed at improving coordination and efficiency. It has practical implications for those facing sustainability challenges in other contexts.

Background Hip fractures are common fall-related injuries, with rehabilitation and recovery often complicated by cognitive impairment. Understanding what interventions exist, and in what settings, for people with hip fracture and co-occurring cognitive impairment is important in order to provide more evidence on rehabilitation and related outcomes for this population. Objective To examine the extent, nature, and range of literature on rehabilitation interventions for adults with hip fracture and cognitive impairment. Methods Articles were required to: include an adult population with hip fracture and cognitive impairment, include a rehabilitation intervention, and be published between January 1, 2000 and November 19, 2021. Articles were excluded if they were opinion pieces, study protocols, conference abstracts, or if they did not describe the rehabilitation intervention. Relevant articles were searched on the following electronic databases: MEDLINE, EMBASE, CINAHL Plus, APA PsycINFO, Cochrane Library, Web of Science, and the Physiotherapy Evidence Database. All articles were double-screened by two reviewers and disagreements were resolved through consensus. Data were extracted and synthesized using descriptive approaches. Results Seventeen articles were included in this scoping review. We identified a variety of interventions targeting this population; about half were specific to physical rehabilitation, with the other half incorporating components that addressed multiple aspects of the care journey. Interventions had varying outcomes and no studies qualitatively explored patient or family experiences. All intervations were initiated in hospital, with less than half including cross-sectoral components. About half of the articles described modifying or tailoring the intervention to the participants’ needs, but there was limited information on how to adapt rehabilitation interventions for individuals with cognitive impairment. Conclusions More work is need to better understand patient, family, and provider experiences with rehabilitation interventions, how to tailor interventions for those with cognitive impairment, and how to successfully implement sustainable interventions across sectors.

Background Patient engagement (PE) in hospital planning and improvement is widespread, yet we lack evidence of its impact. We aimed to identify benefits and harms that could be used to assess the impact of hospital PE. Methods We interviewed hospital-affiliated persons involved in PE activities using a qualitative descriptive approach and inductive content analysis to derive themes. We interpreted themes by mapping to an existing framework of healthcare performance measures and reported themes with exemplar quotes. Results Participants included 38 patient/family advisors, PE managers and clinicians from 9 hospitals (2 Conclusions The 23 self reported impacts were captured in a Framework of Impacts of Patient/Family Engagement on Hospital Planning and Improvement, which can be used by decision-makers to assess and allocate resources to hospital PE, and as the basis for ongoing research on the impacts of hospital PE and how to measure it.

Objective: This study examines whether depression is associated with the development of physical illness and multimorbidity, after controlling for socioeconomic, behavioral, and other potential confounders. Methods: This is a retrospective cohort study in which adult respondents to three nationally representative population health surveys were linked to health administrative databases in Ontario, Canada, and followed for 10 years from survey index. Respondents with any of the study outcome conditions at baseline were excluded to create a final cohort of 29,838 participants. The main exposure of interest was depression, measured using the Composite International Diagnostic Interview–Short Form for Major Depression. We controlled for age, body mass index, marital status, immigrant status, annual household income, smoking, alcohol consumption, physical activity, health status, and having a regular doctor. The outcome measure was the development of physical illness over 10 years of follow-up, defined as 1 of 15 common chronic conditions using administrative data. Results: Among the 29,838 participants (15,259 [51%] female), 8% of females and 4% of males had depression at baseline. In this cohort with no comorbidities at baseline, even in the fully adjusted model, depression increased the risk of developing a first physical illness for females (hazard ratio [HR] 1.16; 95% CI, 1.07 to 1.26) and males (HR 1.20; 95% CI, 1.07 to 1.36) and increased the risk of developing a second physical illness for females (HR 1.16; 95% CI, 1.02 to 1.33) over 10 years of follow-up. Conclusions: For individuals with no prior comorbidities, depression is associated with a greater risk of developing subsequent physical illness and multimorbidity over time. Thus, depression identifies a population of people who may benefit from early identification, additional screening, and intervention. Further study needs to be done to determine whether interventions to manage and support people with depression can prevent or delay the increased risk of multimorbidity.

High-income countries face the challenge of providing effective and efficient care to the relatively small proportion of their populations with high health and social care needs. Recent reports sug...

As high-income countries face the challenge of providing better and more efficient integrated health and social care to high-needs and high-cost populations, they may require innovative policy supp...

Self-care disability is difficulty with or dependence on others to perform activities of daily living, such as eating and dressing. Disablement is worsening self-care disability measured over time. The disablement process model (DPM) is often used to conceptualize gerontology research on self-care disability and disablement; however, no summary of variables that align with person-level DPM constructs exists. This review summarizes the results of 88 studies to identify the nature and role of variables associated with disability and disablement in older adults according to the person-level constructs (e.g., demographic characteristics, chronic pathologies) in the DPM. It also examines the evidence for cross-sectional applications of the DPM and identifies common limitations in extant literature to address in future research. Researchers can apply these results to guide theory-driven disability and disablement research using routinely collected health data from older adults.

BackgroundMultiple 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 FindingsA 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. Cox regression models were used to estimate mortality by number of long-term 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 long-term condition at baseline was associated with increased mortality. This association differed across ethnic groups. Compared with 50-year-olds of white ethnicity with no conditions, the mortality rate was higher for white 50-year-olds with two conditions (HR 1.77) or four conditions (HR 3.13). Corresponding figures were higher for 50-year-olds of Black Caribbean ethnicity with two conditions (HR=2.22) or four conditions (HR 4.54). The direction of the interaction of number of conditions with ethnicity showed higher mortality associated with long-term conditions in nine out of ten minoritised ethnic groups, attaining statistical significance in four (Pakistani, Black African, Black Caribbean and Black other ethnic groups).ConclusionsThe raised mortality rate associated with having multiple conditions is greater in minoritised ethnic groups compared with white people. 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.

BACKGROUND: Rurality strongly correlates with higher pay-for-performance access bonuses, despite higher emergency department use and fewer primary care services than in urban settings. We sought to evaluate the relation between patient-reported access to primary care and access bonus payments in urban settings. METHODS: We conducted a cross-sectional, secondary data analysis using Ontario survey and health administrative data from 2013 to 2017. We used administrative data to calculate annual access bonuses for eligible urban family physicians. We linked this payment data to adult (≥ 16 yr) patient data from the Health Care Experiences Survey to examine the relation between access bonus achievement (in quintiles of the proportion of bonus achieved, from lowest [Q1, reference category] to highest [Q5]) and 4 patient-reported access outcomes. The average survey response rate to the patient survey during the study period was 51%. We stratified urban geography into large, medium and small settings. In a multilevel regression model, we adjusted for patient-, physician- and practice-level covariates. We tested linear trends, adjusted for clustering, for each outcome. RESULTS: We linked 18 893 respondents to 3940 physicians in 414 bonus-eligible practices. Physicians in small urban settings earned the highest proportion of their maximum potential access bonuses. Access bonus achievement was positively associated with telephone access (Q2 odds ratio [OR] 1.18, 95% confidence interval [CI] 0.98-1.42; Q3 OR 1.34, 95% CI 1.10-1.63; Q4 OR 1.46, 95% CI 1.19-1.79; Q5 OR 1.87, 95% CI 1.50-2.33), after hours access (Q2 OR 1.26, 95% CI 1.09-1.47; Q3 OR 1.46, 95% CI 1.23-1.74; Q4 OR 1.77, 95% CI 1.46-2.15; Q5 OR 1.88, 95% CI 1.52-2.32), wait time for care (Q2 OR 1.01, 95% CI 0.85-1.20; Q3 OR 1.17, 95% CI 0.97-1.41; Q4 OR 1.27, 95% CI 1.05-1.55; Q5 OR 1.63, 95% CI 1.32-2.00) and timeliness (Q2 OR 1.29, 95% CI 0.98-1.69; Q3 OR 1.29, 95% CI 0.94-1.77; Q4 OR 1.58, 95% CI 1.16-2.13; Q5 OR 1.98, 95% CI 1.38-2.82). When stratified by geography, we observed several of these associations in large urban settings, but not in small urban settings. Trend tests were statistically significant for all 4 outcomes. INTERPRETATION: Although the access bonus correlated with access in larger urban settings, it did not in smaller settings, aligning with previous research questioning its utility in smaller geographies. The access bonus may benefit from a redesign that considers geography and patient experience.

ObjectivesTo determine whether a voluntary referral-based interprofessional team-based primary care programme reached its target population and to assess the representativeness of referring primary care physicians.DesignCross-sectional analysis of administrative health data.SettingOntario, Canada.InterventionTeamCare provides access to Community Health Centre services for patients of non-team physicians with complex health and social needs.ParticipantsAll adult patients who participated in TeamCare between 1 April 2015 and 31 March 2017 (n=1148), and as comparators, all non-referred adult patients of the primary care providers who shared patients in TeamCare (n=546 989), and a 1% random sample of the adult Ontario population (n=117 753).ResultsTeamCare patients were more likely to live in lower income neighbourhoods with a higher degree of marginalisation relative to comparison groups. TeamCare patients had a higher mean number of diagnoses, higher prevalence of all chronic conditions and had more frequent encounters with the healthcare system in the year prior to participation.ConclusionsTeamCare reached a target population and fills an important gap in the Ontario primary care landscape, serving a population of patients with complex needs that did not previously have access to interprofessional team-based care.Strengths and limitationsThis study used population-level administrative health data. Data constraints limited the ability to identify patients referred to the programme but did not receive services, and data could not capture all relevant patient characteristics.

BACKGROUND eHealth technologies for self-management can improve quality of life, but little is known about whether the benefits gained outweigh their costs. The electronic patient-reported outcome (ePRO) mobile app and portal system supports patients with multiple chronic conditions to collaborate with primary health care providers to set and monitor health-related goals. OBJECTIVE This study aims to estimate the cost of ePRO and the cost utility of the ePRO intervention compared with usual care provided to patients with multiple chronic conditions and complex needs living in the community, from the perspective of the publicly funded health care payer in Ontario, Canada. METHODS We developed a decision tree model to estimate the incremental cost per quality-adjusted life year (QALY) gained for the ePRO tool versus usual care over a time horizon of 15 months. Resource utilization and effectiveness of the ePRO tool were drawn from a randomized clinical trial with 6 family health teams involving 45 participants. Unit costs associated with health care utilization (adjusted to 2020 Canadian dollars) were drawn from literature and publicly available sources. A series of sensitivity analyses were conducted to assess the robustness of the findings. RESULTS The total cost of the ePRO tool was CAD $79,467 (~US $ 63,581; CAD $1733 [~US $1386] per person). Compared with standard care, the ePRO intervention was associated with higher costs (CAD $1710 [~US $1368]) and fewer QALYs (–0.03). The findings were consistent with the clinical evidence, suggesting no statistical difference in health-related quality of life between ePRO and usual care groups. However, the tool would be considered a cost-effective option if it could improve by at least 0.03 QALYs. The probability that the ePRO is cost-effective was 17.3% at a willingness-to-pay (WTP) threshold of CAD $50,000 (~US $40,000)/QALY. CONCLUSIONS The ePRO tool is not a cost-effective technology at the commonly used WTP value of CAD $50,000 (~US $40,000)/QALY, but long-term and the societal impacts of ePRO were not included in this analysis. Further research is needed to better understand its impact on long-term outcomes and in real-world settings. The present findings add to the growing evidence about eHealth interventions’ capacity to respond to complex aging populations within finite-resourced health systems. CLINICALTRIAL ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954

Background Digital health technologies can support primary care delivery, but clinical uptake in primary care is limited. This study explores enablers and barriers experienced by primary care providers when adopting new digital health technologies, using the example of the electronic Patient Reported Outcome (ePRO) tool; a mobile application and web portal designed to support goal-oriented care. To better understand implementation drivers and barriers primary care providers’ usage behaviours are compared to their perspectives on ePRO utility and fit to support care for patients with complex care needs. Methods This qualitative sub-analysis was part of a larger trial evaluating the use of the ePRO tool in primary care. Qualitative interviews were conducted with providers at the midpoint (i.e. 4.5–6 months after ePRO implementation) and end-point (i.e. 9–12 months after ePRO implementation) of the trial. Interviews explored providers’ experiences and perceptions of integrating the tool within their clinical practice. Interview data were analyzed using a hybrid thematic analysis and guided by the Technology Acceptance Model. Data from thirteen providers from three distinct primary care sites were included in the presented study. Results Three core themes were identified: (1) Perceived usefulness: perceptions of the tool’s alignment with providers’ typical approach to care, impact and value and fit with existing workflows influenced providers’ intention to use the tool and usage behaviour; (2) Behavioural intention: providers had a high or low behavioural intention, and for some, it changed over time; and (3) Improving usage behaviour: enabling external factors and enhancing the tool’s perceived ease of use may improve usage behaviour. Conclusions Multiple refinements/iterations of the ePRO tool (e.g. enhancing the tool’s alignment with provider workflows and functions) may be needed to enhance providers’ usage behaviour, perceived usefulness and behavioural intention. Enabling external factors, such as organizational and IT support, are also necessary to increase providers’ usage behaviour. Lessons from this study advance knowledge of technology implementation in primary care. Trial registration Clinicaltrials.gov Identified NCT02917954. Registered September 2016, https://www.clinicaltrials.gov/ct2/show/study/NCT02917954

Item does not contain fulltext OBJECTIVE: The objectives of this study are to compare the relative use of different postacute care settings in different countries and to compare three important outcomes as follows: total expenditure, total days of care in different care settings, and overall longevity over a 1-year period following a hip fracture. DATA SOURCES: We used administrative data from hospitals, institutional and home-based long-term care (LTC), physician visits, and medications compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) from five countries as follows: Canada, France, Germany, the Netherlands, and Sweden. DATA EXTRACTION METHODS: Data were extracted from existing administrative data systems in each participating country. STUDY DESIGN: This is a retrospective cohort study of all individuals admitted to acute care for hip fracture. Descriptive comparisons were used to examine aggregate institutional and home-based postacute care. Care trajectories were created to track sequential care settings after acute-care discharge through institutional and community-based care in three countries where detailed information allowed. Comparisons in patient characteristics, utilization, and costs were made across these trajectories and countries. PRINCIPAL FINDINGS: Across five countries with complete LTC data, we found notable variations with Germany having the highest days of home-based services with relatively low costs, while Sweden incurred the highest overall expenditures. Comparisons of trajectories found that France had the highest use of inpatient rehabilitation. Germany was most likely to discharge hip fracture patients to home. Over 365 days, France averaged the highest number of days in institution with 104, Canada followed at 94, and Germany had just 87 days of institutional care on average. CONCLUSION: In this comparison of LTC services following a hip fracture, we found international differences in total use of institutional and noninstitutional care, longevity, and total expenditures. There exist opportunities to organize postacute care differently to maximize independence and mitigate costs.

Principles-focused evaluations allow evaluators to appraise each principle that guides an organization or program. This study completed a principles-focused evaluation of a new community mental health intervention called Short Term Case Management (STCM) in Toronto, Canada. STCM is a time limited intervention for clients to address unmet needs and personalized goals over 3 months. Findings showcase that a principles-focused evaluation, assessing whether program principles are guiding, useful, inspiring, developmental and/or evaluable (GUIDE), is a practical formative evaluation approach. Specifically, offering an understanding of a novel intervention, including its key components of assessment and planning, support plan implementation and evaluation and care transitions. Findings also highlight that STCM may work best for those clients ready to participate in achieving their own goals. Future research should explore how best to apply the GUIDE framework to complex interventions, including multiple principles, to increase evaluation feasibility and focus.

Contains fulltext : 245434.pdf (Publisher’s version ) (Open Access) OBJECTIVE: This study explores differences in spending and utilization of health care services for an older person with frailty before and after a hip fracture. DATA SOURCES: We used individual-level patient data from five care settings. STUDY DESIGN: We compared utilization and spending of an older person aged older than 65 years for 365 days before and after a hip fracture across 11 countries and five domains of care as follows: acute hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. Utilization and spending were age and sex standardized.. DATA COLLECTION/EXTRACTION METHODS: The data were compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries as follows: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The sample ranged from 1859 patients in Spain to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia. The majority of patients across countries were female. Relative to other countries, the United States had the lowest inpatient length of stay (11.3), but the highest number of days were spent in post-acute care rehab (100.7) and, on average, had more visits to specialist providers (6.8 per year) than primary care providers (4.0 per year). Across almost all sectors, the United States spent more per person than other countries per unit ($13,622 per hospitalization, $233 per primary care visit, $386 per MD specialist visit). Patients also had high expenditures in the year prior to the hip fracture, mostly concentrated in the inpatient setting. CONCLUSION: Across 11 high-income countries, there is substantial variation in health care spending and utilization for an older person with frailty, both before and after a hip fracture. The United States is the most expensive country due to high prices and above average utilization of post-acute rehab care.

Purpose/ Setting The launch of Ontario Health Teams (OHTs) by the Canadian province of Ontario in 2019 represented a milestone in the journey towards integrated care and population health management. However, early model development was riddled with uncertainty. We explore what makes transformation possible even in the context of uncertainty. Methods We conducted 125 interviews with administrators, clinicians, and patient and family advisors across 12 OHTs, representatively selected across geography and leadership sector, between January to September 2020. Interviews were transcribed and thematically coded, and a Foucauldian approach informed analysis. Findings A sense of uncertainty was identified at three levels: (a) at a cross-organizational level, policymakers were perceived as providing inadequate direction; (b) at a sectoral level, certain sectors were uncertain about participating due to historic vulnerabilities; and (c) at a professional level, physicians were uncertain about the value of the new model and their place within it. These concerns were countered by a recognition of the need for change, inclusive decision-making, and developing empathy and awareness of each other's needs. This helped unsettle traditional hierarchies and facilitate new forms of certainty. Conclusion Understanding the possibilities and challenges of this endeavour will be helpful to program implementers negotiating uncertain environments as well as to policymakers seeking to provide guidance without stymieing local innovation.

Value in healthcare is often defined as the patient outcome relative to the resources or costs employed in attaining the patients' outcome. But just defining value in the healthcare delivery system is a vexing challenge. Defining value requires clarity on what factors, features or attributes are valued and the value attached to each. This commentary dissects this approach and offers some hopefully useful principles and conclusions. I argue that improving value requires an appreciation not only of patient value but also that of providers, organizations and companies and values associated with health system goals and society. I then propose principles for the measurement of value and policies to incentivize high value care. The most important message is that single actions or actors will not do much to improve healthcare value and we must value coordinated activities with shared accountability.

Objective In this study, we investigated the incremental 1-year direct costs of health care associated with frailty among home care recipients in Ontario with and without dementia. Methods We conducted a cohort study of 159,570 home care clients aged 50 years and older in Ontario, Canada in 2014/2015. At index home care assessment, we ascertained dementia status using a validated algorithm and frailty level (robust, prefrail, frail) based on the proportion of accumulated to potential health deficits. Clients were followed for 1-year during which we obtained direct overall and sector-specific publicly-funded health care costs (in 2015 Canadian dollars). We estimated the incremental effect of frailty level on costs using a 3-part survival- and covariate-adjusted estimator. All analyses were stratified by dementia status. Results Among those with dementia (n=42,828), frailty prevalence was 32.1% and the average 1-year cost was $30,472. The incremental cost of frailty (vs. robust) was $10,845 [95% confidence interval (CI): $10,112-$11,698]. Among those without dementia (n=116,742), frailty prevalence was 25.6% and the average 1-year cost was $28,969. Here, the incremental cost of frailty (vs. robust) was $12,360 (95% CI: $11,849-$12,981). Large differences in survival between frailty levels reduced incremental cost estimates, particularly for the dementia group (survival effect: -$2742; 95% CI: -$2914 to -$2554). Conclusions Frailty was associated with greater 1-year health care costs for persons with and without dementia. This difference was driven by a greater intensity of health care utilization among frail clients. Mortality differences across the frailty levels mitigated the association especially among those with dementia.

BackgroundThis study examined the incidence of a person’s first diagnosis of a selected chronic disease, and the relationships between modifiable lifestyle risk factors and age to first of six chronic diseases.MethodsOntario respondents from 2001 to 2010 of the Canadian Community Health Survey were followed up with administrative data until 2014 for congestive heart failure, chronic obstructive respiratory disease, diabetes, lung cancer, myocardial infarction and stroke. By sex, the cumulative incidence function of age to first chronic disease was calculated for the six chronic diseases individually and compositely. The associations between modifiable lifestyle risk factors (alcohol, body mass index, smoking, diet, physical inactivity) and age to first chronic disease were estimated using cause-specific Cox proportional hazards models and Fine-Gray competing risk models.ResultsDiabetes was the most common disease. By age 70.5 years (2015 world life expectancy), 50.9% of females and 58.1% of males had at least one disease and few had a death free of the selected diseases (3.4% females; 5.4% males). Of the lifestyle factors, heavy smoking had the strongest association with the risk of experiencing at least one chronic disease (cause-specific hazard ratio = 3.86; 95% confidence interval = 3.46, 4.31). The lifestyle factors were modelled for each disease separately, and the associations varied by chronic disease and sex.ConclusionsWe found that most individuals will have at least one of the six chronic diseases before dying. This study provides a novel approach using competing risk methods to examine the incidence of chronic diseases relative to the life course and how their incidences are associated with lifestyle behaviours.

Background Patient and family engagement (PE) in healthcare planning and improvement achieves beneficial outcomes and is widely advocated, but a lack of resources is a critical barrier. Little prior research studied how organizations support engagement specifically in hospitals. Objective We explored what constitutes hospital capacity for engagement. Methods We conducted descriptive qualitative interviews and complied with criteria for rigour and reporting in qualitative research. We interviewed patient/family advisors, engagement managers, clinicians and executives at hospitals with high engagement activity, asking them to describe essential resources or processes. We used content analysis and constant comparison to identify themes and corresponding quotes and interpreted findings by mapping themes to two existing frameworks of PE capacity not specific to hospitals. Results We interviewed 40 patient/family advisors, patient engagement managers, clinicians and corporate executives from nine hospitals (two Conclusion The findings build on prior research that largely focused on PE in individual clinical care or research or in primary care planning and improvement. The findings closely aligned with existing frameworks of organizational capacity for PE not specific to hospital settings, which suggests that hospitals could use the blended framework to plan, evaluate and improve their PE programs. Further research is needed to yield greater insight into how to promote and enable compensation for patient/family advisors and the role of clinician or staff champions in supporting PE.

BACKGROUND Goal-oriented care is being adopted to deliver person-centered primary care to older adults with multimorbidity and complex care needs. Although this model holds promise, its implementation remains a challenge. Digital health solutions may enable processes to improve adoption; however, they require evaluation to determine feasibility and impact. OBJECTIVE This study aims to evaluate the implementation and effectiveness of the electronic Patient-Reported Outcome (ePRO) mobile app and portal system, designed to enable goal-oriented care delivery in interprofessional primary care practices. The research questions driving this study are as follows: Does ePRO improve quality of life and self-management in older adults with complex needs? What mechanisms are likely driving observed outcomes? METHODS A multimethod, pragmatic randomized controlled trial using a stepped-wedge design and ethnographic case studies was conducted over a 15-month period in 6 comprehensive primary care practices across Ontario with a target enrollment of 176 patients. The 6 practices were randomized into either early (3-month control period; 12-month intervention) or late (6-month control period; 9-month intervention) groups. The primary outcome measure of interest was the Assessment of Quality of Life-4D (AQoL-4D). Data were collected at baseline and at 3 monthly intervals for the duration of the trial. Ethnographic data included observations and interviews with patients and providers at the midpoint and end of the intervention. Outcome data were analyzed using linear models conducted at the individual level, accounting for cluster effects at the practice level, and ethnographic data were analyzed using qualitative description and framework analysis methods. RESULTS Recruitment challenges resulted in fewer sites and participants than expected; of the 176 target, only 142 (80.6%) patients were identified as eligible to participate because of lower-than-expected provider participation and fewer-than-expected patients willing to participate or perceived as ready to engage in goal-setting. Of the 142 patients approached, 45 (32%) participated. Patients set a variety of goals related to self-management, mental health, social health, and overall well-being. Owing to underpowering, the impact of ePRO on quality of life could not be definitively assessed; however, the intervention group, ePRO plus usual care (mean 15.28, SD 18.60) demonstrated a nonsignificant decrease in quality of life (t24=−1.20; P=.24) when compared with usual care only (mean 21.76, SD 2.17). The ethnographic data reveal a complex implementation process in which the meaningfulness (or coherence) of the technology to individuals’ lives and work acted as a key driver of adoption and tool appraisal. CONCLUSIONS This trial experienced many unexpected and significant implementation challenges related to recruitment and engagement. Future studies could be improved through better alignment of the research methods and intervention to the complex and diverse clinical settings, dynamic goal-oriented care process, and readiness of provider and patient participants. CLINICALTRIAL ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954

Introduction: In 2019, Ontario’s Ministry of Health (the Ministry) introduced Ontario Health Teams (OHTs) to provide population-based integrated healthcare. Primary care was foundational to this approach. We sought to identify factors that impacted primary care engagement during OHT formation from different perspectives.Methods: Interviews with 111 participants (administrators n = 80; primary care providers n = 17; patient family advisors = 14) from 11 OHTs were conducted following a semi-structured guide. Interviews were transcribed, coded, and thematically analyzed.Results: Participants felt that primary care engagement was an ongoing, continuous cycle. Four themes were identified: 1) ‘A low rules environment’: limited direction from the Ministry (system-level), 2) ‘They’re at different starting points’: impact of local context (initiative-level); 3) ‘We want primary care to be actively involved’: engagement efforts made by OHTs (initiative-level); 4) ‘Waiting to hear a little bit more’: primary care concerns about the OHT approach (sector-level). Thirteen factors impacting primary care engagement were identified across the four themes.Discussion and Conclusion: The 13 factors influencing primary care engagement were interconnected and operated at health system, integrated care initiative, and sector levels. Future research should focus on integrated care initiatives as they mature, to address potential gaps in the involvement of primary care physicians.

Background Patient engagement (PE) in planning or improving hospital facilities or services is one approach for improving healthcare delivery and outcomes. To provide evidence on hospital capacity needed to support PE, we described the attributes of hospital PE capacity associated with clinical quality measures. Methods We conducted a cross-sectional survey of general and specialty hospitals based on the Measuring Organizational Readiness for Patient Engagement framework. We derived a PE capacity index measure, and with Multiple Correspondence Analysis, assessed the association of PE capacity with hospital type, and rates of hand-washing, C. difficile infection rates and 30-day readmission. Results Respondents (91, 66.4%) included general: Conclusions Hospitals with fewer resources can establish favourable PE conditions by deploying PE widely and actively engaging patients. Healthcare policy-makers, hospital executives and PE managers can use these findings to allocate PE resources. Future research should explore how PE modes and methods impact clinical outcomes.

Significant heterogeneity exists in the implementation of bundled care. This chapter outlines the different typologies of bundled care programs, and as a case study, highlights the implementation of bundled care in Ontario. There are several lessons for those considering adopting bundled care in their local context. In particular, great consideration should be given to the duration of treatment, the type of condition, the event triggering the beginning of the bundle and the care context and providers included in the bundle. More particularly, physician payment should be included in a bundle, as physicians make most of the decisions about care provided to patients. Finally, for health systems considering the implementation of bundled care programs, there must be widespread commitment and adoption from both payers and providers.

Contains fulltext : 245458.pdf (Publisher’s version ) (Open Access) OBJECTIVE: The objective of this study was to explore cross-country differences in spending and utilization across different domains of care for a multimorbid persona with heart failure and diabetes. DATA SOURCES: We used individual-level administrative claims or registry data from inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States (US). DATA COLLECTION/EXTRACTION METHODS: Data collected by ICCONIC partners. STUDY DESIGN: We retrospectively analyzed age-sex standardized utilization and spending of an older person (65-90 years) hospitalized with a heart failure exacerbation and a secondary diagnosis of diabetes across five domains of care: hospital care, primary care, outpatient specialty care, post-acute rehabilitative care, and outpatient drugs. PRINCIPAL FINDINGS: Sample sizes ranged from n = 1270 in Spain to n = 21,803 in the United States. Mean age (standard deviation [SD]) ranged from 76.2 (5.6) in the Netherlands to 80.3 (6.8) in Sweden. We observed substantial variation in spending and utilization across care settings. On average, England spent $10,956 per person in hospital care while the United States spent $30,877. The United States had a shorter length of stay over the year (18.9 days) compared to France (32.9) and Germany (33.4). The United States spent more days in facility-based rehabilitative care than other countries. Australia spent $421 per person in primary care, while Spain (Aragon) spent $1557. The United States and Canada had proportionately more visits to specialist providers than primary care providers. Across almost all sectors, the United States spent more than other countries, suggesting higher prices per unit. CONCLUSION: Across 11 countries, there is substantial variation in health care spending and utilization for a complex multimorbid persona with heart failure and diabetes. Drivers of spending vary across countries, with the United States being the most expensive country due to high prices and higher use of facility-based rehabilitative care.

Contains fulltext : 245435.pdf (Publisher’s version ) (Open Access) OBJECTIVE: This study explores variations in outcomes of care for two types of patient personas-an older frail person recovering from a hip fracture and a multimorbid older patient with congestive heart failure (CHF) and diabetes. DATA SOURCES: We used individual-level patient data from 11 health systems. STUDY DESIGN: We compared inpatient mortality, mortality, and readmission rates at 30, 90, and 365 days. For the hip fracture persona, we also calculated time to surgery. Outcomes were standardized by age and sex. DATA COLLECTION/EXTRACTION METHODS: Data was compiled by the International Collaborative on Costs, Outcomes and Needs in Care across 11 countries for the years 2016-2017 (or nearest): Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The hip sample across ranged from 1859 patients in Aragon, Spain, to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia, and the majority of hip patients across countries were female. The congestive heart failure (CHF) sample ranged from 742 patients in England to 21,803 in the United States. Mean age ranged from 77.2 in the United States to 80.3 in Sweden, and the majority of CHF patients were males. Average in-hospital mortality across countries was 4.1%. for the hip persona and 6.3% for the CHF persona. At the year mark, the mean mortality across all countries was 25.3% for the hip persona and 32.7% for CHF persona. Across both patient types, England reported the highest mortality at 1 year followed by the United States. Readmission rates for all periods were higher for the CHF persona than the hip persona. At 30 days, the average readmission rate for the hip persona was 13.8% and 27.6% for the CHF persona. CONCLUSION: Across 11 countries, there are meaningful differences in health system outcomes for two types of patients.

Background eHealth technologies for self-management can improve quality of life, but little is known about whether the benefits gained outweigh their costs. The electronic patient-reported outcome (ePRO) mobile app and portal system supports patients with multiple chronic conditions to collaborate with primary health care providers to set and monitor health-related goals. Objective This study aims to estimate the cost of ePRO and the cost utility of the ePRO intervention compared with usual care provided to patients with multiple chronic conditions and complex needs living in the community, from the perspective of the publicly funded health care payer in Ontario, Canada. Methods We developed a decision tree model to estimate the incremental cost per quality-adjusted life year (QALY) gained for the ePRO tool versus usual care over a time horizon of 15 months. Resource utilization and effectiveness of the ePRO tool were drawn from a randomized clinical trial with 6 family health teams involving 45 participants. Unit costs associated with health care utilization (adjusted to 2020 Canadian dollars) were drawn from literature and publicly available sources. A series of sensitivity analyses were conducted to assess the robustness of the findings. Results The total cost of the ePRO tool was CAD $79,467 (~US $ 63,581; CAD $1733 [~US $1386] per person). Compared with standard care, the ePRO intervention was associated with higher costs (CAD $1710 [~US $1368]) and fewer QALYs (–0.03). The findings were consistent with the clinical evidence, suggesting no statistical difference in health-related quality of life between ePRO and usual care groups. However, the tool would be considered a cost-effective option if it could improve by at least 0.03 QALYs. The probability that the ePRO is cost-effective was 17.3% at a willingness-to-pay (WTP) threshold of CAD $50,000 (~US $40,000)/QALY. Conclusions The ePRO tool is not a cost-effective technology at the commonly used WTP value of CAD $50,000 (~US $40,000)/QALY, but long-term and the societal impacts of ePRO were not included in this analysis. Further research is needed to better understand its impact on long-term outcomes and in real-world settings. The present findings add to the growing evidence about eHealth interventions’ capacity to respond to complex aging populations within finite-resourced health systems. Trial Registration ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954

Background Many countries, including Canada, have introduced primary care reforms to improve health system functioning and value. The purpose of this study was to examine the association between receiving care from interprofessional primary care teams and after-hours access to care, patient-reported walk-in clinic visits and emergency department use. Methods We conducted a retrospective cohort study linking population-based administrative databases to Ontario’s Health Care Experience Survey (HCES) between 2012 and 2018. We adjusted for physician group characteristics as well as individual physician and patient characteristics while assessing the relationship between receiving care from interprofessional teams and the outcomes of interest. Results As of March 31st, 2015, there were 465 physician groups with HCES respondents of which 177 (38.0%) were interprofessional teams and 288 (62.0%) were non-interprofessional teams in the same blended capitation reimbursement model. In this period, there were 4518 physicians with HCES respondents, of whom 2131 (47.2%) were in interprofessional teams and 2387 (52.8%) were in non-interprofessional teams. There were 10,102 HCES respondents included in this study, of whom 42.4% were in interprofessional teams and 42.3% were in non-interprofessional teams. After adjustment, we found that being in an interprofessional team was associated with an increase in the odds of patients reporting same/next day access to care by 12.0% (OR = 1.12 CI = 1.00 to 1.24 p-value 0.0436) and a decrease in the odds of patients reporting walk-in clinic use by 16% (OR = 0.84 CI = 0.75 to 0.94 p-value 0.0019). After adjustment, there were no significant differences in patient-reported after-hours access to care and emergency department use. Conclusions Ontario has invested heavily in interprofessional primary care teams. As compared to patients in non-interprofessional teams, patients in interprofessional teams self-reported more timely access to care and less walk-in clinic use but no significant difference in self-reported access to after-hours care or in emergency department use. For jurisdictions aiming to expand physician voluntary participation in interprofessional teams, our study results inform expectations around access to care and health services utilization.

Background Improving health system value and efficiency are considered major policy priorities internationally. Ontario has undergone a primary care reform that included introduction of interprofessional teams. The purpose of this study was to investigate the relationship between receiving care from interprofessional versus non-interprofessional primary care teams and ambulatory care sensitive condition (ACSC) hospitalizations and hospital readmissions. Methods Population-based administrative databases were linked to form data extractions of interest between the years of 2003–2005 and 2015–2017 in Ontario, Canada. The data sources were available through ICES. The study design was a retrospective longitudinal cohort. We used a “difference-in-differences” approach for evaluating changes in ACSC hospitalizations and hospital readmissions before and after the introduction of interprofessional team-based primary care while adjusting for physician group, physician and patient characteristics. Results As of March 31st, 2017, there were a total of 778 physician groups, of which 465 were blended capitation Family Health Organization (FHOs); 177 FHOs (22.8%) were also interprofessional teams and 288 (37%) were more conventional group practices (“non-interprofessional teams”). In this period, there were a total of 13,480 primary care physicians in Ontario of whom 4848 (36%) were affiliated with FHOs—2311 (17.1%) practicing in interprofessional teams and 2537 (18.8%) practicing in non-interprofessional teams. During that same period, there were 475,611 and 618,363 multi-morbid patients in interprofessional teams and non-interprofessional teams respectively out of a total of 2,920,990 multi-morbid adult patients in Ontario. There was no difference in change over time in ACSC admissions between interprofessional and non-interprofessional teams between the pre- and post intervention periods. There were no statistically significant changes in all cause hospital readmission s between the post- and pre-intervention periods for interprofessional and non-interprofessional teams. Conclusions Our study findings indicate that the introduction of interprofessional team-based primary care was not associated with changes in ACSC hospitalization or hospital readmissions. The findings point for the need to couple interprofessional team-based care with other enablers of a strong primary care system to improve health services utilization efficiency.

Background: Providing equitable care to patients in need across the life course is a priority for many healthcare systems. Aim: To estimate socioeconomic inequality trends in the proportions of decedents that died in the community and that received palliative care within 30 days of death (including home visits and specialist/generalist physician encounters). Design: Cohort study based on health administrative data. Socioeconomic position was measured by area-level material deprivation. Inequality gaps were quantified annually and longitudinally using the slope index of inequality (absolute gap) and relative index of inequality (relative gap). Setting/Participants: A total of 729,290 decedents aged ⩾18 years in Ontario, Canada from 2009 to 2016. Results: In 2016, the modelled absolute gap (corresponding 95% confidence interval) between the most- and least-deprived neighbourhoods in community deaths was 4.0% (2.9–5.1%), which was 8.6% (6.2–10.9%) of the overall mean (46.6%). Relative to 2009, these inequalities declined modestly. Inequalities in 2016 were evident for palliative home visits (6.8% (5.8–7.8%) absolute gap, 26.3% (22.5–30.0%) relative gap) and for physician encounters (6.8% (5.7–7.9%) absolute gap, 13.2% (11.0–15.3%) relative gap), and widened from 2009 for physician encounters only on the absolute scale. Inequalities varied considerably across disease trajectories (organ failure, terminal illness, frailty, and sudden death). Conclusion: Key measures of end-of-life care are not achieved equally across socioeconomic groups. These data can be used to inform policy strategies to improve delivery of palliative and end-of-life services.

The purpose of this commentary is to outline a vision for the future of value-based healthcare in provinces across Canada and offer a few suggestions for the requirements to make substantial gains in value, based on learnings from past initiatives. We declare as our premise that improving value in healthcare means to improve population health. The goal of improving population health means to improve both average quality of life and life expectancy and to reduce inequalities in these health outcomes. That is, to "shift and squeeze" the population health distribution, as Dr. Patricia Martens phrased it in the Emmett Hall lecture at the Canadian Health Services and Policy Research conference in 2014.

BACKGROUND Older adults with multimorbidity and complex care needs (CCN) are among those most likely to experience frequent care transitions between settings, particularly from hospital to home. Transition periods mark vulnerable moments in care for individuals with CCN. Poor communication and incomplete information transfer between clinicians and organizations involved in the transition from hospital to home can impede access to needed support and resources. Establishing digitally supported communication that enables person-centered care and supported self-management may offer significant advantages as we support older adults with CCN transitioning from hospital to home. OBJECTIVE This protocol outlines the plan for the development, implementation, and evaluation of a Digital Bridge co-designed to support person-centered health care transitions for older adults with CCN. The Digital Bridge builds on the foundation of two validated technologies: Care Connector, designed to improve interprofessional communication in hospital, and the electronic Patient-Reported Outcomes (ePRO) tool, designed to support goal-oriented care planning and self-management in primary care settings. This project poses three overarching research questions that focus on adapting the technology to local contexts, evaluating the impact of the Digital Bridge in relation to the quadruple aim, and exploring the potential to scale and spread the technology. METHODS The study includes two phases: workflow co-design (phase 1), followed by implementation and evaluation (phase 2). Phase 1 will include iterative co-design working groups with patients, caregivers, hospital providers, and primary care providers to develop a transition workflow that will leverage the use of Care Connector and ePRO to support communication through the transition process. Phase 2 will include implementation and evaluation of the Digital Bridge within two hospital systems in Ontario in acute and rehab settings (600 patients: 300 baseline and 300 implementation). The primary outcome measure for this study is the Care Transitions Measure–3 to assess transition quality. An embedded ethnography will be included to capture context and process data to inform the implementation assessment and development of a scale and spread strategy. An Integrated Knowledge Translation approach is taken to inform the study. An advisory group will be established to provide insight and feedback regarding the project design and implementation, leading the development of the project knowledge translation strategy and associated outputs. RESULTS This project is underway and expected to be complete by Spring 2024. CONCLUSIONS Given the real-world implementation of Digital Bridge, practice changes in the research sites and variable adherence to the implementation protocols are likely. Capturing and understanding these considerations through a mixed-methods approach will help identify the range of factors that may influence study results. Should a favorable evaluation suggest wide adoption of the proposed intervention, this project could lead to positive impact at patient, clinician, organizational, and health system levels. CLINICALTRIAL ClinicalTrials.gov NCT04287192; https://clinicaltrials.gov/ct2/show/NCT04287192 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/20220

Background Higher staffing levels in long-term care have been associated with better outcomes for residents in several landmark studies. However previous systematic reviews found mixed results, calling into question the effectiveness of higher levels of staff. With persistent concerns about quality, rising resident acuity, and a growing demographic of seniors requiring more services, understanding the relationship between quality and long-term care staffing is a growing concern. Objectives This review considered the following question: What is the influence of nursing and personal care staffing levels (registered nurse, licensed practical nurse, and nursing assistant) and / or skill mix on long-term care residents, measured by quality of care indicators? Design Preferred Reporting Items for Systematic Review and Meta-analysis Protocols guided the report of this systematic review. Data sources Published articles focused on quality and nursing and personal care staffing in long-term care in peer-reviewed databases (MEDLINE, CINAHL, and AGELINE) and several Cochrane databases to retrieve studies published between January 2008 and June 2020. Review methods A systematic review was conducted. 11,096 studies were identified, of which 34 were included in this review. The Strengthening the Reporting of Observational Studies in Epidemiology checklist was used to evaluate study quality and risk of bias, and five quality measures were selected for in-depth analyses: pressure ulcers, hospitalizations, physical restraints, deficiencies and catherization. Results This review confirms previous review findings that evidence on the relationships between quality and long-term care staffing level and skill mix, remain mixed. Higher staffing levels and skill mix generally supported better rather than worse outcomes. Significant and consistent findings were more evident when staffing levels were further analyzed by indicator and staffing category. For example, registered nurses were consistently associated with significantly fewer pressure ulcers, hospitalizations, and urinary tract infections. Few studies examined the impact of total nursing and personal care hours compared to the impact of specific categories or classes of nursing staff on outcomes. Conclusions Evidence on the relationship between quality and long-term care staffing remains mixed, however some categories of nursing staff may be more effective at improving the quality of certain indicators. Study quality has improved minimally over the last decade. Although research continues to standardize units of measurement, and longitudinal and instrumental variable analyses are increasingly being used, very few studies controlled for endogeneity, conducted adequate risk-adjustment, and used resident-level data. Additional strides must still be made to improve the rigor of long-term care staffing research.

High-income countries face the challenge of providing effective and efficient care to the relatively small proportion of their populations with high health and social care needs. Recent reports suggest that integrated health and social care programs target specific high-needs population segments, coordinate health and social care services to meet their clients' needs, and engage clients and their caregivers. We identified thirty health and social care programs in eleven high-income countries that delivered care in new ways. We used a structured survey to characterize the strategies and activities used by these programs to identify and recruit clients, coordinate care, and engage clients and caregivers. We found that there were some common features in the implementation of these innovations across the eleven countries and some variation related to local context or the clients served by these programs. Researchers could use this structured approach to better characterize the core components of innovative integrated care programs. Policy makers could use this approach to provide a common language for international policy exchange, and this structured characterization of successful programs could play an important role in spreading them and scaling them up.