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Background Interprofessional collaborative teams (teams) have been introduced across Canada to improve access to and quality of primary care. However, the quality and speed of team implementation has been challenging and has not kept pace with increasing access issues. The aim of this research was to use an implementation framework to categorize and describe barriers and enablers to team implementation in primary care. Methods A narrative review that prioritized systematic reviews and evidence syntheseswas conducted. A search using pre-defined terms was conducted using Ovid MEDLINE, and potentially relevant grey literature was identified through ad hoc Google searches and hand searching of health organization websites. The Consolidated Framework for Implementation Research (CFIR) was used to categorize barriers and enablers into five domains: (1) Features of Team Implementation; (2) Government, Health Authorities and Health Organizations; (3) Characteristics of the Team; (4) Characteristics of Team Members; and (5) Process ofImplementation. Results Data were extracted from 19 of 435 articles that met inclusion/exclusion criteria. Most barriers and enablers were categorized into two domains of the CFIR: Characteristics of the Team and Government, Health Authorities, and Health Organizations. Key themes identified within the Characteristics of the Team domain were team-leadership, including designating a manager responsible for day-to-day activities and facilitating collaboration; clear governance structures, technology supports and tools that facilitate information sharing and communication; and a combination of formal and informal methods of communication. Key themes within the Government, Health Authorities, and Health Organizations domain were professional remuneration plans, regulatory policy, and interprofessional education that encourage and incorporate interprofessional competencies and values. Conclusions Barriers and enablers to implementing teams using the CFIR were identified, which enables stakeholders and teams to tailor implementation of teams at the local level to impact the accessibility and quality of primary care.

We describe changes in the comprehensiveness of services delivered by family physicians in 4 Canadian provinces (British Columbia, Manitoba, Ontario, Nova Scotia) during the periods 1999-2000 and 2017-2018 and explore if changes differ by years in practice. We measured comprehensiveness using province-wide billing data across 7 settings (home, long-term care, emergency department, hospital, obstetrics, surgical assistance, anesthesiology) and 7 service areas (pre/postnatal care, Papanicolaou [Pap] testing, mental health, substance use, cancer care, minor surgery, palliative home visits). Comprehensiveness declined in all provinces, with greater changes in number of service settings than service areas. Decreases were no greater among new-to-practice physicians.

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.

Objective: Primary care providers play an important role in providing early palliative care, however they often lack practical supports to operationalize this approach in practice. CAPACITI is a virtual training program aimed at providing practical tips, strategies, and action plans to help primary care providers offer an early palliative approach to care. The CAPACITI pilot program consisted of 10 facilitated, monthly training sessions, covering identification and assessment, communication, and engaging caregivers and specialists. We present the findings of an evaluation of the pilot program. Method: We conducted a single cohort study of primary care providers who participated in CAPACITI. Study outcomes were the change in the percentage of caseload reported as requiring palliative care and improved confidence in competencies measured on a 20-item, study-created survey. Pre and post survey data were analyzed using paired t-tests. Results: Twenty-two teams representing 127 care providers (including 36 physicians and 28 Nurse Practitioners) completed CAPACITI. Paired comparisons showed a moderate improvement in confidence across the competencies covered (.6 to 1.3 mean improvement across items using seven-point scales, all P < .05). Pre-CAPACITI, clinician prescribers ( N = 32) identified a mean of 1.2% of their caseload requiring a palliative approach to care, which increased to 1.6% post-program ( P = .02). Said differently, the total group of paired clinician prescribers identified 338 patients as requiring palliative care in their caseloads at baseline vs 482 patients following the intervention, for an overall increase of 144 patients in their collective caseloads. Conclusion: CAPACITI improved self-assessed palliative care identification and provider confidence in core competencies. The program demonstrated potential for building palliative care capacity in primary care teams.

Purpose: To describe the trajectory of physical symptoms among cancer decedents who were receiving home care in the six months before death. Patients and Methods: An observational cohort study of cancer decedents in Ontario, Canada, who received home care services between 2007 and 2014. To be included, decedents had to use at least one home care service in the last six months of life. Outcomes were the presence of pain and several other physical symptoms at each week before death. Results: Our cohort included 27,295 cancer decedents (30,368 assessments). Forty-seven percent were female and 56% were age 75 years or older. The prevalence of all physical symptoms increased as one approached death, particularly in the last month of life. In the last weeks of life, 69% of patients reported having moderate–severe pain, however, only 20% reported that the pain was not controlled. Loss of appetite (63%), shortness of breath (59%), high health instability (50%), and self-reported poor health (44%) were also highly prevalent in the last week of life. Multivariate regression showed that caregiver distress, high health instability, social decline, uncontrolled pain, and signs of depression all worsened the odds of having a physical symptom in the last 3 months of life. Conclusion: In this large home care cancer cohort, trajectories of physical symptoms worsened close to death. While presence of moderate–severe pain was common, it was also reported as mostly controlled. Covariates, such as caregiver distress and social decline, were associated with having more physical symptoms at end of life.

Background: The aim of this work was to show the feasibility of providing a comprehensive portrait of regional primary care performance. Methods: The TRANSFORMATION study used a mixed-methods concurrent study design where we analyzed survey data and case studies. Data were collected in British Columbia, Ontario and Nova Scotia. Patient's Medical Home (PMH) pillar scores were created by calculating mean clinic-level scores across regions. Scores and qualitative themes were compared. Results: Participation included 86 practices (n = 1,929 patients; n = 117 clinicians). Regions had differential attainment towards PMH orientation with respect to infrastructure; community adaptiveness and accountability; and patient and family partnered care. The lowest PMH attainment for all regions were observed in connected care; accessible care; measurement, continuous quality improvement and research; and training, education and continuing professional development. Conclusions: Comprehensive performance reporting that draws on multiple data sources in primary care is possible. Regional portraits highlighting many of the key pillars of a PMH approach to primary care show that despite differences in policy contexts, achieving a PMH remains elusive.

Background: Complaints about lack of access to family physicians (FPs) has led to concerns about the role recent physician graduates have had in changes in the supply of primary care services in Canada. This study investigates the impact of career stage, time period, and graduation cohort on family physician practice volume and continuity over two decades. Methods: Retrospective-cohort study of family physician practice from 1997/98 to 2017/18. Administrative health and physician claims data were collected in British Columbia, Manitoba, Ontario and Nova Scotia. The study included all physicians registered with their respective provincial regulatory colleges with a medical specialty of family practice and/or billed the provincial health insurance system for patient care as family physicians. Median polish analysis of patient contacts and physician-level continuity was completed to isolate years-in-practice, period, and cohort effects. Results: Median patient contacts per provider fell over time in the four provinces examined. In all four provinces, median contacts increased with years in practice until mid-to-late-career and declined into end-of-career. We found no relationship between graduation cohort and practice volume or FP-level continuity. Interpretation: Recent cohorts of family physicians practice similarly to predecessors in terms of practice volumes and continuity of care. Since FPs of all career stages show declining patient contacts, system-wide solutions to recent challenges in the accessibility of primary care in Canada are needed.

Purpose Understanding the end-of-life psychosocial needs of cancer patients at home is a knowledge gap. This study describes the trajectory of psychosocial symptoms in the last 6 months of life among cancer decedents who were receiving home care. Methods Observational population-based cohort study of cancer decedents who were receiving home care services between 2007 and 2014. Decedents had to have at least one home care assessment in the last 6 months of life for inclusion. Outcomes were the presence of psychosocial symptoms (i.e., anxiety, loneliness, depression, social decline, caregiver distress, and cognitive decline) at each week before death. Results Our cohort included 27,295 unique cancer decedents (30,368 assessments), of which 58% died in hospital. Fifty-six percent were older than 74, and 47% were female. The prevalence of all symptoms increased approaching death, except loneliness. Social decline (48%-78%) was the most prevalent psychosocial symptom, though loneliness was reported in less than 10% of the cohort. Caregiver distress rose over time from 15%-27%. A third of the cohort reported issues with cognitive impairment. Multivariate regression showed that physical symptoms such as uncontrolled pain, impairment in independent activities of daily living, and a high level of health instability all significantly worsened the odds of having a psychosocial symptom in the last 3 months of life. Conclusion In this large home care cancer cohort, trajectories of psychosocial symptoms worsened close to death. Physical symptoms, such as uncontrolled pain, were associated with having worse psychosocial symptoms at end of life.

Objective While public reporting of hospital‐based performance measurement is commonplace, it has lagged in the primary care sector, especially in Canada. Despite the increasing recognition of patients as active partners in the health‐care system, little is known about what information about primary care performance is relevant to the Canadian public. We explored patient perspectives and priorities for the public reporting of primary care performance measures. Methods We conducted six deliberative dialogue sessions across three Canadian provinces (British Columbia, Ontario, Nova Scotia). Participants were asked to rank and discuss the importance of collecting and reporting on specific dimensions and indicators of primary care performance. We conducted a thematic analysis of the data. Results Fifty‐six patients participated in the dialogue sessions. Measures of access to primary care providers, communication with providers and continuity of information across all providers involved in a patient's care were identified as the highest priority indicators of primary care performance from a patient perspective. Several common measures of quality of care, such as rates of cancer screening, were viewed as too patient dependent to be used to evaluate the health system or primary care provider's performance. Conclusions Our findings suggest that public reporting aimed at patient audiences should focus on a nuanced measure of access, incorporation of context reported alongside measurement that is for public audiences, clear reporting on provider communication and a measure of information continuity. Participants highlighted the importance the public places on their providers staying up to date with advances in care.

PURPOSE Case management (CM) is a promising intervention for frequent users of health care services. Our research question was how and under what circumstances does CM in primary care work to improve outcomes among frequent users with chronic conditions? METHODS We conducted a realist synthesis, searching MEDLINE, CINAHL, Embase, and PsycINFO (1996 to September 2017) for articles meeting the following criteria: (1) population: adult frequent users with chronic disease, (2) intervention: CM in a primary care setting with a postintervention evaluation, and (3) primary outcomes: integration of services, health care system use, cost, and patient outcome measures. Academic and gray literature were evaluated for relevance and robustness. Independent reviewers extracted data to identify context, mechanism, and outcome (CMO) configurations. Analysis of CMO configurations allowed for the modification of an initial program theory toward a refined program theory. RESULTS Of the 9,295 records retrieved, 21 peer-reviewed articles and an additional 89 documents were retained. We evaluated 19 CM interventions and identified 11 CMO configurations. The development of a trusting relationship fostering patient and clinician engagement in the CM intervention was recurrent in many CMO configurations. CONCLUSION Our refined program theory proposes that in the context of easy access to an experienced and trusted case manager who provides comprehensive care while maintaining positive interactions with patients, the development of this relationship fosters the engagement of both individuals and yields positive outcomes when the following mechanisms are triggered: patients and clinicians feel supported, respected, accepted, engaged, and committed; and patients feel less anxious, more secure, and empowered to self-manage.

The study's objective was to examine Canadian and Australian community pharmacists' experiences with people at risk of suicide.A survey was developed and administered online. Countries were compared by Fisher's exact and t tests. Multivariable logistic-regression analysis was used to identify variables associated with preparedness to help someone in a suicidal crisis.The survey was completed by 235 Canadian and 161 Australian pharmacists. Most (85%) interacted with someone at risk of suicide at least once, and 66% experienced voluntary patient disclosure of suicidal thoughts. More Australians than Canadians had mental health crisis training (p0.001). Preparedness to help in a suicidal crisis was negatively associated with being Canadian, having a patient who died by suicide, lacking training and confidence, and permissive attitudes toward suicide.Several perceived barriers impede pharmacists' abilities to help patients who voluntarily disclose suicidal thoughts. Gatekeeper and related suicide prevention strategy training for community pharmacists is warranted.

Objective Performance measurement and reporting is proliferating in all sectors of the healthcare system, including primary care, despite a dearth of evidence on how the public uses reports on primary care performance. We explored how the public might use this information, to guide the development of effective reporting systems for primary care. Methods We conducted six full‐day deliberative dialogue sessions with a purposive sample of 56 citizen‐patients across three Canadian provinces (British Columbia, Ontario and Nova Scotia). Participants identified how they would use publicly reported performance data. We conducted a thematic analysis of the data by region. Results Common uses for primary care performance information emerged across all sessions. Participants most often discussed the utility of this information for community advocacy and participation in health system decision making. Similar barriers for using performance information to choose a primary care provider were identified in each region including the perceived lack of choice of providers and the high value placed on relationships with current providers. Finally, the value of public performance reporting in enhancing trust that people would receive good care was also a common theme. Conclusions Citizen‐patient perspectives highlight that public reporting on primary care performance could promote the health system's responsiveness by enabling public engagement in decision making at the community level. The role of public reporting in promoting trust rather than empowering patient choice may reflect unique elements of the Canadian health system's context.

Introduction Across the world, data sources to support learning in primary care (PC) lag far behind that of acute care. Having comparable data sources across jurisdictions is essential for scaling and spreading healthcare learnings. Objectives The purpose of this work was to 1) identify and develop indicators of PC performance using administrative data and 2) examine the comparability of indicator definitions across three Canadian provinces (Nova Scotia, Ontario, British Columbia). This work is valuable for demonstrating how to arrive at comparable administrative data indicators across jurisdictions with different care patterns. Methods The TRANSFORMATION study is a multi-province Canadian study of PC that aims to improve PC performance measurement reporting. We initially compiled a list of PC performance indicators that had been used with existing administrative data. We followed and documented an iterative process to achieve comparable indicator operationalizations across the three provinces in Canada. Results Our final list included 21 PC performance indicators pertaining to 1) technical care (n=4), 2) continuity of care (n=6), and 3) health services utilization (n=11). Establishing comparability between these PC performance indicators was possible. The main challenge was major differences in data characteristics and available resources including pre-existing algorithms used in each province to define the indicators. We present examples of these differences including the identification of patients with diabetes and of bone mineral density measurement. Conclusion Arriving at comparable definitions of PC performance indicators using administrative data is challenging and time-consuming, but possible — even without data pooling. Through an iterative and well-documented process, research teams and policy-makers can develop and establish comparability of PC performance indicators that can help in supporting continuous improvements in healthcare system performance. More work is necessary to standardize approaches and optimize the comparability of PC performance indicators across jurisdictions.

Background A growing number of health care practices are adopting software systems that link with their existing electronic medical records to generate outgoing phone calls, emails, or text notifications to patients for appointment reminders or practice updates. While practices are adopting this software technology for service notifications to patients, its use for collection of patient-reported measures is still nascent. Objective This study assessed the mode preferences, response rates, and mode effect for a practice-based automated patient survey using phone and email modalities to patients of primary care practices. Methods This cross-sectional study analyzed responses and respondent demographics for a short, fully automated, telephone or email patient survey sent to individuals within 72 hours of a visit to their regular primary care practice. Each survey consisted of 5 questions drawn from a larger study’s patient survey that all respondents completed in the waiting room at the time of their visit. Automated patient survey responses were linked to self-reported sociodemographic information provided on the waiting room survey including age, sex, reported income, and health status. Results A total of 871 patients from 87 primary care practices in British Columbia, Ontario, and Nova Scotia, Canada, agreed to the automated patient survey and 470 patients (45.2%) completed all 5 questions on the automated survey. Email administration of the follow-up survey was preferred over phone-based administration, except among patients aged 75 years and older (P Conclusions An automated practice-based patient experience survey achieved significantly different response rates between phone and email and increased response rates for email as income group rose. Potential mode effects for the different survey modalities may limit multimodal survey approaches. An automated minimal burden patient survey could facilitate the integration of patient-reported outcomes into care planning and service organization, supporting the move of our primary care practices toward a more responsive, patient-centered, continual learning system. However, practices must be attentive to furthering inequities in health care by underrepresenting the experience of certain groups in decision making based on the reach of different survey modes.

BACKGROUND A growing number of health care practices are adopting software systems that link with their existing electronic medical records to generate outgoing phone calls, emails, or text notifications to patients for appointment reminders or practice updates. While practices are adopting this software technology for service notifications to patients, its use for collection of patient-reported measures is still nascent. OBJECTIVE This study assessed the mode preferences, response rates, and mode effect for a practice-based automated patient survey using phone and email modalities to patients of primary care practices. METHODS This cross-sectional study analyzed responses and respondent demographics for a short, fully automated, telephone or email patient survey sent to individuals within 72 hours of a visit to their regular primary care practice. Each survey consisted of 5 questions drawn from a larger study’s patient survey that all respondents completed in the waiting room at the time of their visit. Automated patient survey responses were linked to self-reported sociodemographic information provided on the waiting room survey including age, sex, reported income, and health status. RESULTS A total of 871 patients from 87 primary care practices in British Columbia, Ontario, and Nova Scotia, Canada, agreed to the automated patient survey and 470 patients (45.2%) completed all 5 questions on the automated survey. Email administration of the follow-up survey was preferred over phone-based administration, except among patients aged 75 years and older (PP CONCLUSIONS An automated practice-based patient experience survey achieved significantly different response rates between phone and email and increased response rates for email as income group rose. Potential mode effects for the different survey modalities may limit multimodal survey approaches. An automated minimal burden patient survey could facilitate the integration of patient-reported outcomes into care planning and service organization, supporting the move of our primary care practices toward a more responsive, patient-centered, continual learning system. However, practices must be attentive to furthering inequities in health care by underrepresenting the experience of certain groups in decision making based on the reach of different survey modes.

IntroductionCase management (CM) in a primary care setting is a promising approach to integrating and improving healthcare services and outcomes for patients with chronic conditions and complex care needs who frequently use healthcare services. Despite evidence supporting CM and interest in implementing it in Canada, little is known about how to do this. This research aims to identify the barriers and facilitators to the implementation of a CM intervention in different primary care contexts (objective 1) and to explain the influence of the clinical context on the degree of implementation (objective 2) and on the outcomes of the intervention (objective 3).Methods and analysisA multiple-case embedded mixed-methods study will be conducted on CM implemented in ten primary care clinics across five Canadian provinces. Each clinic will represent a subunit of analysis, detailed through a case history. Cases will be compared and contrasted using multiple analytical approaches. Qualitative data (objectives 1 and 2) from individual semistructured interviews (n=130), focus group discussions (n=20) and participant observation of each clinic (36 hours) will be compared and integrated with quantitative (objective 3) clinical data on services use (n=300) and patient questionnaires (n=300). An evaluation of intervention fidelity will be integrated into the data analysis.Ethics and disseminationThis project received approval from the CIUSSS de l'Estrie – CHUS Research Ethic Board (project number MP-31-2019-2830). Results will provide the opportunity to refine the CM intervention and to facilitate effective evaluation, replication and scale-up. This research provides knowledge on how to resp ond to the needs of individuals with chronic conditions and complex care needs in a cost-effective way that improves patient-reported outcomes and healthcare use, while ensuring care team well-being. Dissemination of results is planned and executed based on the needs of various stakeholders involved in the research.

Background: Deprescribing is a complex process requiring consideration of behavior change theory to improve implementation and uptake. Aim: The aim of this study was to describe the knowledge, attitudes, beliefs, and behaviors that influence deprescribing for primary healthcare providers (family physicians, nurse practitioners (NPs), and pharmacists) within Nova Scotia using the Theoretical Domains Framework version 2 (TDF(v2)) and the Behavior Change Wheel. Methods: Interviews and focus groups were completed with primary care providers (physicians, NPs, and pharmacists) in Nova Scotia, Canada. Coding was completed using the TDF(v2) to identify the key influencers. Subdomain themes were also identified for the main TDF(v2) domains and results were then linked to the Behavior Change Wheel—Capability, Opportunity, and Motivation components. Results: Participants identified key influencers for deprescribing including areas related to Opportunity, within TDF(v2) domain Social Influences, such as patients and other healthcare providers, as well as Physical barriers (TDF(v2) domain Environmental Context and Resources), such as lack of time and reimbursement. Conclusion: Our results suggest that a systematic approach to deprescribing in primary care should be supported by opportunities for patient and healthcare provider collaborations, as well as practice and system level enhancements to support sustainability of deprescribing practices.

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.

Despite wishes for and benefits of home deaths, a discrepancy between preferred and actual location of death persists. Provision of home care may be an effective policy response to support home deaths. Using the population-based mortality follow-back study conducted in Nova Scotia, we investigated the associations between home death and formal care at home and between home death and the type of formal care at home. We found (1) the use of formal care at home at the end of life was associated with home death and (2) the use of formal home support services at home was associated with home death among those whose symptoms were well managed.

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.

Background Understanding and addressing the needs of frail persons is an emerging health priority for Nova Scotia and internationally. Primary healthcare (PHC) providers regularly encounter frail persons in their daily clinical work. However, routine identification and measurement of frailty is not standard practice and, in general, there is a lack of awareness about how to identify and respond to frailty. A web-based tool called the Frailty Portal was developed to aid in identifying, screening, and providing care for frail patients in PHC settings. In this study, we will assess the implementation feasibility and impact of the Frailty Portal to: (1) support increased awareness of frailty among providers and patients, (2) identify the degree of frailty within individual patients, and (3) develop and deliver actions to respond to frailtyl in community PHC practice. Methods This study will be approached using a convergent mixed method design where quantitative and qualitative data are collected concurrently, in this case, over a 9-month period, analyzed separately, and then merged to summarize, interpret and produce a more comprehensive understanding of the initiative’s feasibility and scalability. Methods will be informed by the ‘Implementing the Frailty Portal in Community Primary Care Practice’ logic model and questions will be guided by domains and constructs from an implementation science framework, the Consolidated Framework for Implementation Research (CFIR). Discussion The ‘Frailty Portal’ aims to improve access to, and coordination of, primary care services for persons experiencing frailty. It also aims to increase primary care providers’ ability to care for patients in the context of their frailty. Our goal is to help optimize care in the community by helping community providers gain the knowledge they may lack about frailty both in general and in their practice, support improved identification of frailty with the use of screening tools, offer evidence based severity-specific care goals and connect providers with local available community supports.

ObjectiveTo explore regional primary care improvement strategies that are potentially determinants of primary care performance.DesignMultiple comparative embedded case study.SettingThree regions in Canada: Fraser East, British Columbia; Eastern Ontario Health Unit, Ontario; Central Zone, Nova Scotia.Data sources(1) In-depth interviews with purposively selected key informants (eg, primary care decision-makers, physician leads, regulatory agencies) and focus groups with patients and clinicians (n=68 participants) and (2) published and grey literature (n=205 documents).Outcome measuresVariations in spread and uptake of primary care improvement strategies across the three study regions. NVivo (V.11) was used to manage data and perform content analysis to identify categories within and across cases. The coding structure was developed by researchers through iterative collaboration, using inductive and deductive processes.ResultsSix overarching primary care improvement strategies, differing in focus and spread, were implemented across the three study regions: interprofessional team-based approaches, provider skill mix expansion, physician groups and networks, information systems, remuneration and performance measurement and reporting infrastructure.ConclusionThe addition of information on regional improvement strategies to primary care performance reports could add important contextual insights into primary care performance results. This could help identify possible drivers of reported performance outcomes and levers for change in practice, regional and system-level settings.

IntroductionCanadians report persistent problems accessing primary care despite an increasing per-capita supply of primary care physicians (PCPs). There is speculation that PCPs, especially those early in their careers, may now be working less and/or choosing to practice in focused clinical areas rather than comprehensive family medicine, but little evidence to support or refute this. The goal of this study is to inform primary care planning by: (1) identifying values and preferences shaping the practice intentions and choices of family medicine residents and early career PCPs, (2) comparing practice patterns of early-career and established PCPs to determine if changes over time reflect cohort effects (attributes unique to the most recent cohort of PCPs) or period effects (changes over time across all PCPs) and (3) integrating findings to understand the dynamics among practice intentions, practice choices and practice patterns and to identify policy implications.Methods and analysisWe plan a mixed-methods study in the Canadian provinces of British Columbia, Ontario and Nova Scotia. We will conduct semi-structured in-depth interviews with family medicine residents and early-career PCPs and analyse survey data collected by the College of Family Physicians of Canada. We will also analyse linked administrative health data within each province. Mixed methods integration both within the study and as an end-of-study step will inform how practice intentions, choices and patterns are interrelated and inform policy recommendations.Ethics and disseminationThis study was approved by the Simon Fraser University Research Ethics Board with harmonised approval from partner institutions. This study will produce a framework to understand practice choices, new measures for comparing practice patterns across jurisdictions and information necessary for planners to ensure adequate provider supply and patient access to primary care.

Introduction Primary health care (PHC) is the foundation of healthcare systems around the world, recognized for its ability to deliver cost-effective, equitable, and high-quality care. Measuring and reporting on PHC performance allows decision-makers to ensure accountability and quality improvement. Rural areas, where residents are few and widely dispersed across vast areas, present special challenges for PHC delivery, and performance measurement systems need to acknowledge the ways rural PHC is unique. The objective of this scoping review is to establish the features of PHC that should be measured and reported in a rural versus a non-rural context. Methods The electronic databases PubMed, Scopus, and CINAHL, as well as grey literature in the form of government reports and research institute publications, were searched for relevant studies. Identified articles were eligible for inclusion if they reported or described (1) rural primary health care; (2) healthcare practice characteristics or structures, provider scope of practice, provider practice patterns, or patient patterns of health care use; and (3) one of four 'pillars' of quality PHC outlined in the College of Family Physicians of Canada's 'Patient's Medical Home' model: accessibility, continuity, comprehensiveness, or electronic health records. Articles were excluded if they reported or described (1) specific patient populations, health concerns, or health outcomes; or (2) patient preferences or experiences with PHC. Data were extracted and analyzed to determine unique aspects of rural PHC. Twenty-six articles met inclusion criteria. Results Results suggest important differences in aspects of rural PHC, particularly in how rural patients access such care and the types of services they receive from providers compared to non-rural patients. Conclusion These differences between rural and non-rural PHC will need to be considered in the design of performance measurement systems. Key words: Canada, health reporting, performance measurement, primary health care.

Background Primary care serves all age groups and individuals with health states ranging from those with no chronic conditions to those who are medically complex, or frail and approaching the end of life. For information to be actionable and guide planning, there must be some population disaggregation based on differences in expected needs for care. Promising approaches to segmentation in primary care reflect both the breadth and severity of health states, the types and amounts of health care utilization that are expected, and the roles of the primary care provider. The purpose of this study was to assess population segmentation as a tool to create distinct patient groups for use in primary care performance reporting. Methods This cross-sectional study used administrative data (patient characteristics, physician and hospital billings, prescription medicines data, emergency department visits) to classify the population of British Columbia (BC), Canada into one of four population segments: low need, multiple morbidities, medically complex, and frail. Each segment was further classified using socioeconomic status (SES) as a proxy for patient vulnerability. Regression analyses were used to examine predictors of health care use, costs and selected measures of primary care attributes (access, continuity, coordination) by segment. Results Average annual health care costs increased from the low need ($ 1460) to frail segment ($10,798). Differences in primary care cost by segment only emerged when attributes of primary care were included in regression models: accessing primary care outside business hours and discontinuous primary care (≥5 different GP’s in a given year) were associated with higher health care costs across all segments and higher continuity of care was associated with lower costs in the frail segment (cost ratio = 0.61). Additionally, low SES was associated with higher costs across all segments, but the difference was largest in the medically complex group (cost ratio = 1.11). Conclusions Population segments based on expected need for care can support primary care measurement and reporting by identifying nuances which may be lost when all patients are grouped together. Our findings demonstrate that variables such as SES and use of regression analyses can further enhance the usefulness of segments for performance measurement and reporting.