Development and Application of an Attribute-Based Taxonomy on the Benefits of Oral Anticoagulant Switching in Atrial Fibrillation: A Delphi Study.

INTRODUCTION: Patients with atrial fibrillation (AF) often switch between oral anticoagulants (OACs). It can be hard to know why a patient has switched outside of a clinical setting. Medication attribute comparisons can suggest benefits. Consensus on terms and definitions is required for inferring OAC switch benefits. The objectives of the study were to generate consensus on a taxonomy of the potential benefits of OAC switching in patients with AF and apply the taxonomy to real-world data. METHODS: Nine expert clinicians (seven clinical pharmacists, two cardiologists) with at least 3 years of clinical and research experience in AF participated in a Delphi process. The experts rated and commented on a proposed taxonomy on the potential benefits of OAC switching. After each Delphi round, ratings were analyzed with the RAND Corporation/University of California, Los Angeles (RAND/UCLA) appropriateness method. Median ratings, disagreement index, and comments were used to modify the taxonomy. The resulting taxonomy from the Delphi process was applied to a cohort of patients with AF who switched OACs in a population-based administrative health dataset from 1996 to 2019 in British Columbia, Canada. RESULTS: The taxonomy was finalized in two Delphi rounds, reaching consensus on five switch benefit categories: safety, effectiveness, convenience, economic considerations, and drug interactions. Safety benefit (a switch that could lower the risk of adverse drug events) had three subcategories: major bleeding, intracranial hemorrhage (ICH), and gastrointestinal (GI) bleeding. Effectiveness benefit had four subcategories: stroke and systemic embolism (SSE), ischemic stroke, myocardial infarction (MI), and all-cause mortality. Real-world OAC switches revealed that more OAC switches had convenience (72.6%) and drug interaction (63.0%) benefits compared to effectiveness (SSE 22.0%, ischemic stroke 11.1%, MI 3.1%, all-cause mortality 10.1%), safety (major bleeding 24.3%, GI bleeding 10.6%, ICH 48.5%), and economic benefits (12.1%). CONCLUSIONS: The Delphi-based taxonomy identified five criteria for the beneficial effects of OAC switching, aiding in characterizing real-world OAC switching.

A Canadian Simulation Model for Major Depressive Disorder: Study Protocol.

BACKGROUND: Major depressive disorder (MDD) is a common, often recurrent condition and a significant driver of healthcare costs. People with MDD often receive pharmacological therapy as the first-line treatment, but the majority of people require more than one medication trial to find one that relieves symptoms without causing intolerable side effects. There is an acute need for more effective interventions to improve patients' remission and quality of life and reduce the condition's economic burden on the healthcare system. Pharmacogenomic (PGx) testing could deliver these objectives, using genomic information to guide prescribing decisions. With an already complex and multifaceted care pathway for MDD, future evaluations of new treatment options require a flexible analytic infrastructure encompassing the entire care pathway. Individual-level simulation models are ideally suited for this purpose. We sought to develop an economic simulation model to assess the effectiveness and cost effectiveness of PGx testing for individuals with major depression. Additionally, the model serves as an analytic infrastructure, simulating the entire patient pathway for those with MDD. METHODS AND ANALYSIS: Key stakeholders, including patient partners, clinical experts, researchers, and modelers, designed and developed a discrete-time microsimulation model of the clinical pathways of adults with MDD in British Columbia (BC), including all publicly-funded treatment options and multiple treatment steps. The Simulation Model of Major Depression (SiMMDep) was coded with a modular approach to enhance flexibility. The model was populated using multiple original data analyses conducted with BC administrative data, a systematic review, and an expert panel. The model accommodates newly diagnosed and prevalent adult patients with MDD in BC, with and without PGx-guided treatment. SiMMDep comprises over 1500 parameters in eight modules: entry cohort, demographics, disease progression, treatment, adverse events, hospitalization, costs and quality-adjusted life-years (payoff), and mortality. The model predicts health outcomes and estimates costs from a health system perspective. In addition, the model can incorporate interactive decision nodes to address different implementation strategies for PGx testing (or other interventions) along the clinical pathway. We conducted various forms of model validation (face, internal, and cross-validity) to ensure the correct functioning and expected results of SiMMDep. CONCLUSION: SiMMDep is Canada's first medication-specific, discrete-time microsimulation model for the treatment of MDD. With patient partner collaboration guiding its development, it incorporates realistic care journeys. SiMMDep synthesizes existing information and incorporates provincially-specific data to predict the benefits and costs associated with PGx testing. These predictions estimate the effectiveness, cost-effectiveness, resource utilization, and health gains of PGx testing compared with the current standard of care. However, the flexible analytic infrastructure can be adapted to support other policy questions and facilitate the rapid synthesis of new data for a broader search for efficiency improvements in the clinical field of depression.

Cost-effectiveness of pharmacogenomic-guided treatment for major depression.

BACKGROUND: Pharmacogenomic testing to identify variations in genes that influence metabolism of antidepressant medications can enhance efficacy and reduce adverse effects of pharmacotherapy for major depressive disorder. We sought to establish the cost-effectiveness of implementing pharmacogenomic testing to guide prescription of antidepressants. METHODS: We developed a discrete-time microsimulation model of care pathways for major depressive disorder in British Columbia, Canada, to evaluate the effectiveness and cost-effectiveness of pharmacogenomic testing from the public payer's perspective over 20 years. The model included unique patient characteristics (e.g., metabolizer phenotypes) and used estimates derived from systematic reviews, analyses of administrative data (2015-2020) and expert judgment. We estimated incremental costs, life-years and quality-adjusted life-years (QALYs) for a representative cohort of patients with major depressive disorder in BC. RESULTS: Pharmacogenomic testing, if implemented in BC for adult patients with moderate-severe major depressive disorder, was predicted to save the health system $956 million ($4926 per patient) and bring health gains of 0.064 life-years and 0.381 QALYs per patient (12 436 life-years and 74 023 QALYs overall over 20 yr). These savings were mainly driven by slowing or avoiding the transition to refractory (treatment-resistant) depression. Pharmacogenomic-guided care was associated with 37% fewer patients with refractory depression over 20 years. Sensitivity analyses estimated that costs of pharmacogenomic testing would be offset within about 2 years of implementation. INTERPRETATION: Pharmacogenomic testing to guide antidepressant use was estimated to yield population health gains while substantially reducing health system costs. These findings suggest that pharmacogenomic testing offers health systems an opportunity for a major value-promoting investment.

Comparing quality of care outcomes between assisted living and nursing homes before and during the COVID-19 pandemic.

BACKGROUND: While assisted living (AL) and nursing home (NHs) residents in share vulnerabilities, AL provides fewer staffing resources and services. Research has largely neglected AL, especially during the COVID-19 pandemic. Our study compared trends of practice-sensitive, risk-adjusted quality indicators between AL and NHs, and changes in these trends after the start of the pandemic. METHODS: This repeated cross-sectional study used population-based resident data in Alberta, Canada. Using Resident Assessment Instrument data (01/2017-12/2021), we created quarterly cohorts, using each resident's latest assessment in each quarter. We applied validated inclusion/exclusion criteria and risk-adjustments to create nine quality indicators and their 95% confidence intervals (CIs): potentially inappropriate antipsychotic use, pain, depressive symptoms, total dependency in late-loss activities of daily living, physical restraint use, pressure ulcers, delirium, weight loss, urinary tract infections. Run charts compared quality indicators between AL and NHs over time and segmented regressions assessed whether these trends changed after the start of the pandemic. RESULTS: Quarterly samples included 2015-2710 AL residents and 12,881-13,807 NH residents. Antipsychotic use (21%-26%), pain (20%-24%), and depressive symptoms (17%-25%) were most common in AL. In NHs, they were physical dependency (33%-36%), depressive symptoms (26%-32%), and antipsychotic use (17%-22%). Antipsychotic use and pain were consistently higher in AL. Depressive symptoms, physical dependency, physical restraint use, delirium, weight loss were consistently lower in AL. The most notable segmented regression findings were an increase in antipsychotic use during the pandemic in both settings (AL: change in slope = 0.6% [95% CI: 0.1%-1.0%], p = 0.0140; NHs: change in slope = 0.4% [95% CI: 0.3%-0.5%], p < 0.0001), and an increase in physical dependency in AL only (change in slope = 0.5% [95% CI: 0.1%-0.8%], p = 0.0222). CONCLUSIONS: QIs differed significantly between AL and NHs before and during the pandemic. Any changes implemented to address deficiencies in either setting need to account for these differences and require monitoring to assess their impact.

Caregiver Involvement and Concerns with Care of Residents of Assisted Living before and during the COVID-19 Pandemic.

INTRODUCTION: Family/friend caregivers play an essential role in promoting the physical and mental health of older adults in need of care - especially during the COVID-19 pandemic and especially in assisted living (AL) homes, where resident care needs are similarly complex as in long-term care homes but fewer staffing resources and services are available. However, little research is available on caregiver involvement and concerns with care of AL residents prior to and during waves 1 and 2 of the COVID-19 pandemic. This study addressed this important knowledge gap. METHODS: This prospective cohort study used baseline and follow-up online surveys with primary caregivers to AL residents in Western Canada who were 65 years or older and had lived in the AL home for at least 3 months before Mar 1, 2020. Surveys assessed the following outcomes in the 3 months prior to and during waves 1 and 2 of the pandemic: sociodemographics, 5 ways of visiting or communicating with residents, involvement in 16 care tasks, concerns with 9 resident physical/mental health conditions, perceived lack of resident access to 7 care services, and whether caregivers felt well informed and involved with resident care. RESULTS: Based on 386 caregiver responses, in-person visits dropped significantly in wave 1 of the pandemic and so did caregiver involvement in nearly all care tasks. While these rates increased in wave 2, most did not return to pre-pandemic levels. Correspondingly, caregiver concerns (already high before the pandemic) substantially increased in wave 1 and stayed high in wave 2. These were particularly elevated among caregivers who did not feel well informed/involved with resident care. CONCLUSIONS: Restricted in-person visiting disrupted resident care and was associated with worse perceptions of resident health and well-being. Continued caregiver involvement in resident care and communication with caregivers even during lockdowns is key to mitigating these issues.

Changes over time in patient visits and continuity of care among graduating cohorts of family physicians in 4 Canadian provinces.

BACKGROUND: Lack of patient access to family physicians in Canada is a concern. The role of recent physician graduates in this problem of supply of primary care services has not been established. We sought to establish whether career stage or graduation cohort were related to family physician practice volume and continuity of care over time. METHODS: We conducted a retrospective cohort study of family physician practice from 1997/98 to 2017/18. We collected administrative health and physician claims data in British Columbia, Manitoba, Ontario and Nova Scotia. We included all physicians who registered with their respective provincial regulatory colleges as having a medical specialty of family practice or who had billed the provincial health insurance system for patient care as family physicians, or both. We used regression models to isolate the effects of 3-year categories of years in practice (at all career stages), time period and cohort on patient contacts and physician-level continuity of care. RESULTS: Between 1997/98 and 2017/18, the median number of patient contacts per provider per year fell by between 515 and 1736 contacts in the 4 provinces examined. Median contacts peaked at 27-29 years in practice in all provinces, and median physician-level continuity of care increased until 30 or more years in practice. We found no association between graduation cohort and patient contacts or physician-level continuity of care. INTERPRETATION: Recent cohorts of family physicians practise similarly to their predecessors in terms of practice volumes and continuity of care. Because family physicians of all career stages showed declining patient contacts, we suggest that system-wide solutions to recent challenges in the accessibility of primary care in Canada are needed.

Patient characteristics associated with enrolment under voluntary programs implemented within fee-for-service systems in British Columbia and Quebec: a cross-sectional study.

BACKGROUND: There is a paucity of information on patient characteristics associated with enrolment under voluntary programs (e.g. incentive payments) implemented within fee-for-service systems. We explored patient characteristics associated with enrolment under these programs in British Columbia and Quebec. METHODS: We used linked administrative data and a cross-sectional design to compare people aged 40 years or more enrolled under voluntary programs to those who were eligible but not enrolled. We examined 2 programs in Quebec (enrolment of vulnerable patients with qualifying conditions [implemented in 2003] and enrolment of the general population [2009]) and 3 in BC (Chronic disease incentive [2003], Complex care incentive [2007] and enrolment of the general population [A GP for Me, 2013]). We used logistic regression to estimate the odds of enrolment by neighbourhood income, rural versus urban residence, previous treatment for mental illness, previous treatment for substance use disorder and use of health care services before program implementation, controlling for characteristics linked to program eligibility. RESULTS: In Quebec, we identified 1 569 010 people eligible for the vulnerable enrolment program (of whom 505 869 [32.2%] were enrolled within the first 2 yr of program implementation) and 2 394 923 for the general enrolment program (of whom 352 380 [14.7%] were enrolled within the first 2 yr). In BC, we identified 133 589 people eligible for the Chronic disease incentive, 47 619 for the Complex care incentive and 1 349 428 for A GP for Me; of these, 60 764 (45.5%), 28 273 (59.4%) and 1 066 714 (79.0%), respectively, were enrolled within the first 2 years. The odds of enrolment were higher in higher-income neighbourhoods for programs without enrolment criteria (adjusted odds ratio [OR] comparing highest to lowest quintiles 1.21 [95% confidence interval (CI) 1.20-1.23] in Quebec and 1.67 [95% CI 1.64-1.69] in BC) but were similar across neighbourhood income quintiles for programs with health-related eligibility criteria. The odds of enrolment by urban versus rural location varied by program. People treated for substance use disorders had lower odds of enrolment in all programs (adjusted OR 0.60-0.72). Compared to people eligible but not enrolled, those enrolled had similar or higher numbers of primary care visits and longitudinal continuity of care in the year before enrolment. INTERPRETATION: People living in lower-income neighbourhoods and those treated for substance use disorders were less likely than people in higher-income neighbourhoods and those not treated for such disorders to be enrolled in programs without health-related eligibility criteria. Other strategies are needed to promote equitable access to primary care.

Why are babies in Canada getting smaller?

INTRODUCTION: Recent evidence from the United States and Canada suggests an unexplained increase in small-for-gestational-age (SGA) births (<10th percentile). This study aimed to identify reasons for the recent increase in SGA births in Canada. DATA AND METHODS: Using Canada's Vital Statistics - Birth Database, the study population included all singleton live births, 2000 to 2016, inclusive. Temporal changes in birth weight (grams), birth weight for gestational age z-scores, and SGA births were examined. Multivariable logistic regression was used to determine if the ncreased risk of an SGA birth over time was eliminated or attenuated by adjusting for selected individual and sociodemographic factors that have previously been associated with SGA births. RESULTS: There were 5,941,820 singleton live births in Canada between 2000 and 2016. Mean birth weight for all births decreased from 3,442 grams in 2000, to 3,367 grams in 2016, while SGA birth increased from 7.2% in 2000 to 8.0% in 2016. The multivariable model showed higher odds of SGA birth among births to parents born outside of Canada, unmarried women, older women, nulliparous women and women residing in low income neighborhoods. After adjusting for sociodemographic factors, the crude 12% increase in odds of SGA birth in 2016 compared to 2000 (95% Confidence Interval (CI): [10 to 14%]) was attenuated, ut not eliminated (adjusted odds ratio for calendar time 1.08 (95% CI: [1.06, 1.10])). INTERPRETATION: This study identified a decrease in fetal size in Canada between 2000 and 2016. The rise in SGA births in Canada was explained only partly as a result of concurrent changes in the demography of childbirth.

Quality of End-of-Life Cancer Care in Canada: A 12-Year Retrospective Analysis of Three Provinces' Administrative Health Care Data Evaluating Changes over Time.

This retrospective cohort study of cancer decedents during 2004-2015 examined end-of-life cancer care quality indicators (QIs) in the provinces of British Columbia (BC), Ontario, and Nova Scotia (NS). These included: emergency department use, in-patient hospitalization, intensive care unit admissions, physician house calls, home care visits, and death experienced in hospital. Ontario saw the greatest 12-year decrease in in-hospital deaths from 52.8% to 41.1%. Hospitalization rates within 30 days of death decreased in Ontario, increased in NS, and remained the same in BC. Ontario's usage of aggressive end-of-life measures changed very little, while BC increased their utilization rates. Supportive care use increased in both NS and Ontario. Those who were male or living in a lower income/smaller community (in Ontario) were associated with a decreased likelihood of receiving supportive care. Despite the shift in focus to providing hospice and home care services, approximately 50% of oncology patients are still dying in hospital and 11.7% of patients overall are subject to aggressive care measures that may be out of line with their desire for comfort care. Supportive care use is increasing, but providers must ensure that Canadians are connected to palliative services, as its utilization improves a wide variety of outcomes.

Value in Primary Healthcare - Measuring What Matters?

High-performing and equitable healthcare systems are influenced by the strength of primary healthcare (PHC), which means that there should be special attention on this sector because we are changing how we monitor and improve overall care. Comprehensive data are the foundation for actionable information and are urgently needed in PHC because of the heterogeneity in both the demographics and the healthcare needs of the populations served. An ideal information system would combine multiple data sources such as electronic medical records (EMRs), administrative data and patient-reported information, drawing on the strengths of each to develop a comprehensive view of PHC. The purpose of this commentary is to draw attention to data gaps and offer suggestions about where and how this information could be obtained. Linked patient experience, EMRs and administrative data could be used in a learning health system to support decisions at the practice level and the jurisdictional level, where resources (financial and human) can be deployed to improve the quality of care, particularly when care is needed across sectors. The information gained from the analysis of these data are of high value for clinician/practice quality improvement efforts and for regional and jurisdictional health system planning and resource allocation.

The impact of the 2008/2009 financial crisis on specialist physician activity in Canada.

Fee-for-service physicians are responsible for planning for their retirements, and there is no mandated retirement age. Changes in financial markets may influence how long they remain in practice and how much they choose to work. The 2008 crisis provides a natural experiment to analyze elasticity in physician service supply in response to dramatic financial market changes. We examined quarterly fee-for-service data for specialist physicians over the period from 1999/2000 to 2013/2014 in Canada. We used segmented regression to estimate changes in the number of physicians receiving payments, per-physician service counts, and per-physician payments following the 2008 financial crisis and explored whether patterns differed by physician age. The number of specialist physicians increased more rapidly in the period since 2008 than in earlier years, but increases were largest within the youngest age group, and we observed no evidence of delayed retirement among older physicians. Where changes in service volume and payments were observed, they occurred across all ages and not immediately following the 2008 financial crisis. We conclude that any response to the financial crisis was small compared with demographic shifts in the physician population and changes in payments per service over the same time period.

Benchmarking time to initiation of end-of-life homecare nursing: a population-based cancer cohort study in regions across Canada.

BACKGROUND: Several studies have demonstrated the benefits of early initiation of end-of-life care, particularly homecare nursing services. However, there is little research on variations in the timing of when end-of-life homecare nursing is initiated and no established benchmarks. METHODS: This is a retrospective cohort study of patients with a cancer-confirmed cause of death between 2004 and 2009, from three Canadian provinces (British Columbia, Nova Scotia, and Ontario). We linked multiple administrative health databases within each province to examine homecare use in the last 6 months of life. Our primary outcome was mean time (in days) to first end-of-life homecare nursing visit, starting from 6 months before death, by region. We developed an empiric benchmark for this outcome using a funnel plot, controlling for region size. RESULTS: Of the 28 regions, large variations in the outcome were observed, with the longest mean time (97 days) being two-fold longer than the shortest (55 days). On average, British Columbia and Nova Scotia had the first and second shortest mean times, respectively. The province of Ontario consistently had longer mean times. The empiric benchmark mean based on best-performing regions was 57 mean days. CONCLUSIONS: Significant variation exists for the time to initiation of end-of-life homecare nursing across regions. Understanding regional variation and developing an empiric benchmark for homecare nursing can support health system planners to set achievable targets for earlier initiation of end-of-life care.

Does access to end-of-life homecare nursing differ by province and community size?: A population-based cohort study of cancer decedents across Canada.

BACKGROUND: Studies have demonstrated the strong association between increased end-of-life homecare nursing use and reduced acute care utilization. However, little research has described the utilization patterns of end-of-life homecare nursing and how this differs by region and community size. METHODS: A retrospective population-based cohort study of cancer decedents from Ontario, British Columbia, and Nova Scotia was conducted between 2004 and 2009. Provinces linked administrative databases which provide data about homecare nursing use for the last 6 months of life for each cancer decedent. Among weekly users of homecare nursing in their last six months of life, we describe the proportion of patients receiving end-of-life homecare nursing by province and community size. RESULTS: Our cohort included 83,746 cancer decedents across 3 provinces. Patients receiving end-of-life nursing among homecare nursing users increased from weeks -26 to -1 before death by: 78% to 93% in British Columbia, 40% to 81% in Ontario, and 52% to 91% in Nova Scotia. In all 3 provinces, the smallest community size had the lowest proportion of patients using end-of-life nursing compared to the second largest community size, which had the highest proportion. CONCLUSIONS: Differences in end-of-life homecare nursing use are much larger between provinces than between community sizes.

Measuring Patient Experiences: Is It Meaningful and Actionable?

Performance measurement must be meaningful to those being asked to contribute data and to the clinicians who are collecting the information. It must be actionable if performance measurement and reporting is to influence health system transformation. To date, measuring patient experiences in all parts of the healthcare system in Canada lags behind other countries. More attention needs to be paid to capturing patients with complex intersecting health and social problems that result from inequitable distribution of wealth and/or underlying structural inequities related to systemic issues such as racism and discrimination, colonialism and patriarchy. Efforts to better capture the experiences of patients who do not regularly access care and who speak English or French as a second language are also needed. Before investing heavily into collecting patient experience data as part of a performance measurement system the following ought to be considered: (1) ensuring value for and buy-in from clinicians who are being asked to collect the data and/or act on the results; (2) investment in the infrastructure to administer iterative, cost-effective patient/family experience data collection, analysis and reporting (e.g., automated software tools) and (3) incorporating practice support (e.g., facilitation) and health system opportunities to integrate the findings from patient experience surveys into policy and practice. Investment into the infrastructure of measuring, reporting and engaging clinicians in improving practice is needed for patient/caregiver experiences to be acted upon.

Does Increasing Home Care Nursing Reduce Emergency Department Visits at the End of Life? A Population-Based Cohort Study of Cancer Decedents.

CONTEXT: Despite being commonplace in health care systems, little research has described home care nursing's effectiveness to reduce acute care use at the end of life. OBJECTIVES: To examine the temporal association between home care nursing rate on emergency department (ED) visit rate in the subsequent week during the last six months of life. METHODS: We conducted a retrospective cohort study of end-of-life cancer decedents in Ontario, Canada, from 2004 to 2009 by linking administrative databases. We examined the association between home care nursing rate of one week with the ED rate in the subsequent week closer to death, controlling for covariates and repeated measures among decedents. Nursing was dichotomized into standard and end-of-life care intent. RESULTS: Our cohort included 54,576 decedents who used home care nursing services in the last six months before death, where 85% had an ED visit and 68% received end-of-life home care nursing. Patients receiving end-of-life nursing at any week had a significantly reduced ED rate in the subsequent week of 31% (relative rate [RR] 0.69; 95% confidence interval [CI] 0.68, 0.71) compared with standard nursing. In the last month of life, receiving end-of-life nursing and standard nursing rate of more than five hours/week was associated with a decreased ED rate of 41% (RR 0.59, 95% CI 0.58, 0.61) and 32% (RR 0.68, 95% CI 0.66, 0.70), respectively, compared with standard nursing of one hour/week. CONCLUSION: Our study showed a temporal association between receiving end-of-life nursing in a given week during the last six months of life, and of more standard nursing in the last month of life, with a reduced ED rate in the subsequent week.

End-of-Life Cancer Care: Temporal Association between Homecare Nursing and Hospitalizations.

OBJECTIVES: Most cancer patients want to die at home, but scaleable models to achieve this are not well researched. Our objective was to investigate the temporal association of homecare nursing, especially by generalist nurses, with reduced end-of-life hospitalizations. METHODS: We conducted a retrospective Canadian cohort study of end-of-life cancer decedents during 2004-2009 in Ontario (ON), Nova Scotia (NS), and British Columbia (BC), which have homecare systems that use generalist nurses to provide end-of-life care. Each province linked administrative databases to examine the association during the last six months of life between the homecare nursing rate and the hospitalization rate in the subsequent week, using standardized definitions and controlling for other covariates. We dichotomized nursing into standard and end-of-life care intent. RESULTS: Our cohort included 83,827 cancer decedents. Approximately 55% of decedents were older than 70 and the most common cancer was lung. Nearly 85% of the cohort had at least one hospital admission. Receiving end-of-life compared to standard homecare nursing significantly reduced a patient's hospitalization rate by 34%, 33%, and 17% in ON, BC, and NS. In the last month of life patients having a standard nursing rate of greater than five hours compared to one hour per week had a significantly lower hospitalization rate (relative reduction of 15%-23%) across the three provinces. CONCLUSIONS: Our study showed a protective effect of nursing with an end-of-life intent on hospitalization across the last six months of life and of standard nursing in the last month. This finding's generalizability is strengthened, since the trends were similar across three different homecare systems.

Quality Indicators of End-of-Life Care in Patients With Cancer: What Rate Is Right?

PURPOSE: To develop data-driven and achievable benchmark rates for end-of-life quality indicators using administrative data from four provinces in Canada. METHODS: Indicators of end-of-life care were defined and measured using linked administrative data for 33 health regions across British Columbia, Alberta, Ontario, and Nova Scotia. These were emergency department use, intensive care unit admission, physician house calls and home care visits before death, and death in hospital. An empiric benchmark was defined using indicator rates from the top-ranked regions to include the top decile of patients overall. Funnel plots were used to graph each region's age- and sex-adjusted indicator rates along with the overall rate and 95% confidence limits. RESULTS: Rates varied approximately two- to four-fold across the regions, with physician house calls showing the greatest variation. Benchmark rates based on the top decile performers were emergency department use, 34%; intensive care unit admission, 2%; physician house calls, 34%; home care visits, 63%; and death in hospital, 38%. With the exception of intensive care unit admission, funnel plots demonstrated that overall indicator rates and their confidence limits were uniformly worse than benchmarks even after adjusting for age and sex. Few regions met the benchmark rates. CONCLUSION: There is significant variation in end-of-life quality indicators across regions in four provinces in Canada. Using this study's methods-deriving empiric benchmarks and funnel plots-regions can determine their relative performance with greater context that facilitates priority setting and resource deployment. Applying this study's methods can support quality improvement by decreasing variation and striving for a target.

Choosing your partner for the PROM: a review of evidence on patient-reported outcome measures for use in primary and community care.

Patient-reported outcome measures (PROMs) are assessments of health status from the patient's perspective. The systematic and routine collection and use of PROMs in healthcare settings adds value in several ways, including quality improvement and service evaluation. We address the issue of instrument selection for use in primary and/or community settings. Specifically, from the large number of available PROMs, which instrument delivers the highest level of performance and validity? For selected generic PROMs, we reviewed literature on psychometric properties and other instrument features (e.g., health domains captured). Briefly we summarize key strengths of the three PROMs that received the most favourable psycho-metric and overall evaluation. The Short-Form 36 has a number of strengths, chiefly, its strong psychometric properties such as responsiveness. The PROMIS/Global Health Scale scored highly on most criteria and warrants serious consideration, especially as it is free to use. The EQ-5D scored satisfactorily on many criteria and, beneficially, it has a low response burden.