Patient-Reported Wait Times and the Impact of Living with Chronic Pain on their Quality of Life: A Waiting Room Survey in Chronic Pain Clinics in Ontario, Manitoba, and Quebec.

Background: Wait times at Canadian multidisciplinary pain clinics have been reported as excessive for nearly 2 decades. Aims: The aim of this study was to gain insight into the patient experience of waiting for chronic pain specialty care. Methods: A cross-sectional survey of new patients waiting for an appointment was conducted in six multidisciplinary pain clinics, including one pediatric clinic, in Ontario, Quebec, and Manitoba between February 2020 and October 2022. Participants were asked about the length of time they waited for their appointment since being referred, their quality of life, health care professionals seen while waiting, and an open-ended question, "Is there anything else you'd like to tell us?" Results: Among the 493 adult and 100 pediatric respondents, 53% of adults and 82% of children reported wait times under 6 months, whereas 22% of adults and 4% of children waited longer than a year. Between 52% and 63% of adults and 29% to 48% of children reported being affected by chronic pain "quite a bit" or "extremely" on measures of quality of life. The most visited health care professionals while waiting for a pain clinic appointment were family doctors/nurse practitioners for adults and physiotherapists for children. Qualitative analysis of open-ended question responses revealed eight themes: system navigation issues, administrative issues, decreased quality of life, distress, self-advocacy, coping strategies, communication, and distrust. Conclusions: Our findings provide real-time regional snapshots into the impact of long wait times experienced by Canadians living with chronic pain. There is an urgent need to better support patients during the waiting period. Expanding technologies such as electronic consultation hold great promise.

Contexte: Les temps d'attente dans les cliniques multidisciplinaires de traitement de la douleur au Canada sont jugés excessifs depuis près de deux décennies.Objectifs: L'objectif de cette étude était de mieux comprendre l'expérience des patients en attente de soins spécialisés pour la douleur chronique.Méthodes: Une enquête transversale sur les nouveaux patients en attente d'un rendez-vous a été menée dans six cliniques multidisciplinaires de traitement de la douleur, dont une clinique pédiatrique, en Ontario, au Québec et au Manitoba, entre février 2020 et octobre 2022. Les participants ont été interrogés sur le temps d'attente pour leur rendez-vous depuis qu'ils avaient été référés, sur leur qualité de vie, sur les professionnels de la santé qu'ils avaient consultés pendant qu'ils attendaient, et sur une question ouverte : « Y a-t-il autre chose que vous aimeriez nous dire? ¼Résultats: Parmi les 493 adultes et les 100 enfants interrogés, 53 % des adultes et 82 % des enfants ont déclaré des temps d'attente inférieurs à six mois, tandis que 22 % des adultes et 4 % des enfants ont attendu plus d'un an. Entre 52 % et 63 % des adultes et 29 % à 48 % des enfants ont déclaré être affectés par la douleur chronique « assez ¼ ou « extrêmement ¼ sur les mesures de la qualité de vie. Les professionnels de la santé les plus consultés pendant l'attente d'un rendez-vous à la clinique de la douleur étaient les médecins de famille/infirmières praticiennes pour les adultes et les physiothérapeutes pour les enfants. L'analyse qualitative des réponses aux questions ouvertes a révélé huit thèmes : les problèmes de navigation dans le système; les problèmes administratifs; la diminution de la qualité de vie; la détresse; l'autonomie; les stratégies d'adaptation; la communication et la méfiance.Conclusions: Nos résultats offrent des instantanés régionaux en temps réel des répercussions des longs temps d'attente sur les Canadiens souffrant de douleur chronique. Il est urgent de mieux soutenir les patients pendant la période d'attente. Les technologies en expansion, telles que la consultation électronique, sont très prometteuses.

Identifying Primary Care Models of Dementia Care that Improve Quality of Life for People Living with Dementia and their Care Partners: An Environmental Scan.

Dementia is a growing concern in Canada, affecting peoples' health and raising the cost of care. Between June and October 2019, we conducted an environmental scan to identify primary care models, strategies, and resources for dementia care from 11 pre-selected countries and assess their impact on quality-of-life measures. Search strategies included a rapid scoping review, grey literature search, and discussions with stakeholders. Eighteen primary care-based models of dementia care were identified. Common factors include team-based care, centralized care/case coordination, individual treatment plans, a stepped-care approach, and support for care partners. Five provinces had released a dementia strategy. Evidence of positive outcomes supported primary care-based models for dementia care, although only one model demonstrated evidence of impact on quality of life. Although these findings are encouraging, further research is needed to identify primary care-based models of dementia care that demonstrably improve quality of life for people living with dementia and their care partners.

Enabling patient-centred policy for electronic consultations: A qualitative analysis of discussions from a stakeholder meeting.

INTRODUCTION: To support the expansion of a successful regional electronic consultation (eConsult) service, we hosted a full-day national eConsult Policy Think Tank, connecting health-services researchers, clinicians, patients and policymakers to discuss policy considerations related to eConsult. In this paper, we assess the discussion arising from the Think Tank to identify and understand the policy enablers and barriers to the national spread and scale of eConsult services across Canada. METHODS: We conducted a constant comparative thematic analysis of stakeholder discussions captured during the Think Tank held in Ottawa, Canada, on 5 December 2016. Forty-seven participants attended and debated the following topic areas: (a) delivery of services and standards; (b) payment considerations; and (c) equitable access. The meeting was recorded, and verbatim transcripts were analysed using qualitative approaches. RESULTS: We identified four themes affecting spread and scale of eConsult innovation from a policy perspective: (a) patient-centredness; (b) value; (c) regulation; and (d) considerations for spread and scale. Patient-centredness was viewed as a foundational principle upon which policy shifts should be guided. Active participation of patient partners transitioned the discussions and resulting recommendations from provider-centred to patient-centred thinking around the relevant policy issues, explicitly demonstrating the importance of patient involvement in healthcare policy decision making. DISCUSSION: eConsult was viewed as a high-value, disruptive innovation with great potential to transform access to specialists in Canada. A patient-centred approach to policy change (and not just healthcare delivery) was identified as a novel yet critical enabler to the scale and spread of eConsult across Canada.

Performance Obligations to Improve Delivery of Hospital-Initiated Smoking Cessation Interventions: A Before-and-After Evaluation.

INTRODUCTION: This study evaluated whether introducing performance obligations (a policy intervention) to service agreements between hospitals (n = 15) and their local health authority: (1) improved provision of an evidence-based tobacco cessation intervention (the "Ottawa Model" for Smoking Cessation) and (2) changed the quality of the cessation intervention being delivered. METHODS: Interrupted time series analysis was used to evaluate the change in the proportion of smoker patients provided the Ottawa Model 3 years before and 3 years after introducing the performance obligations. Changes in secondary outcomes related to program quality were described using mean differences, risk differences, and risk ratios, as appropriate. RESULTS: The proportion and number of patients provided the Ottawa Model doubled in the 3-year period following introduction of the new policy-from 3453 patients (33.7%) in the year before to 6840 patients (62.8%) in the final assessment year. This resulted in a signification slope change (+9.2%; 95% confidence interval [CI] 4.5%, 13.9%; p = .01) between the pre- and post-obligation assessment periods, signifying the policy had a positive impact on performance. Quality and effectiveness of the in-hospital intervention remained steady. CONCLUSIONS: Implementation of performance obligations by a healthcare funder increased delivery of an evidence-based smoking cessation intervention across multiple hospitals. Given the known health and economic impacts of smoking cessation interventions, health authorities and hospitals should consider pairing adoption of systematic interventions, like the Ottawa Model, with policy to enhance reach and impact. IMPLICATIONS: • The hospital-based Ottawa Model for Smoking Cessation (OMSC) intervention has been shown to increase smoking abstinence, while reducing mortality and healthcare utilization.• The uptake of systematic, evidence-based interventions, like the OMSC, by hospitals has been relatively low despite the known positive impacts.• The introduction of smoking cessation performance obligations by a healthcare funder resulted in more patients receiving an OMSC intervention while in hospital, with no corresponding change in intervention quality or effectiveness.• Healthcare funders and hospitals should consider pairing the adoption of effective, systematic interventions, like the OMSC, with policy to enhance reach and impact.

Primary Care Providers' Perspectives on the Ontario eConsult Program.

Background: Electronic consultation (eConsult) allows asynchronous virtual communication between primary care providers (PCPs) and specialists regarding patient care. Introduction: The Ontario eConsult Program enables timely and equitable access to specialist advice for Ontarians. This study examines clinicians' perspectives and experiences with the program. Materials and Methods: We conducted an anonymous survey of PCPs registered for the Ontario eConsult Program. The survey ran from June to August 2019 and included questions on PCPs' experiences with the service, opinions on remuneration, and recommendations for enhancement. Results: One thousand two hundred fifty-six PCPs completed the survey (response rate of 16%). Seventy-eight percent had submitted an eConsult, of whom 67% were active users (i.e., had submitted ≥3 eConsults in the past 6 months). The majority of PCPs stated that their user experience was very good (57%) or good (31%), 74% agreed that eConsult improved their referral decision making, and 73% agreed that eConsult increased their ability to manage a broader array of diagnoses. Thirty-seven percent felt adequately compensated for using eConsult, 30% wanted higher rates of remuneration, and 31% were not compensated or were unaware of the fee code. Discussion: The majority of PCPs who use eConsult had positive experiences with the service. Nevertheless, improvements to further streamline the service's use, particularly through electronic medical record integration, were broadly cited as a desirable improvement. Conclusions: PCPs expressed an overall positive experience with the Ontario eConsult Program, citing prompt response times and improved care delivery as chief benefits.

Mental health services in Canada: Barriers and cost-effective solutions to increase access.

In this article, an overview of the barriers to accessing mental health services in Canada is provided and the recent federal funding commitments toward increasing the availability of evidence-based and cost-effective solutions to improve access to mental health services are highlighted. Barriers pertain mainly to costs, not knowing where to get help, excessive wait times, and insufficient funding. Through the Common Statement of Principles on Shared Health Priorities agreement, action is being taken by all jurisdictions in Canada to increase community-based mental health promotion programs and early interventions, especially those targeting children and youth. A growing body of evidence is demonstrating how specific community and primary care-based interventions are both effective and cost-effective. These integrated community solutions, shown to be effective for increasing access to appropriate services for patients while saving costs to the healthcare system, would benefit from the recent funding investments put in place by the federal government.

Key factors for national spread and scale-up of an eConsult innovation.

BACKGROUND: Expanding healthcare innovations from the local to national level is a complex pursuit requiring careful assessment of all relevant factors. In this study (a component of a larger eConsult programme of research), we aimed to identify the key factors involved in the spread and scale-up of a successful regional eConsult model across Canada. METHODS: We conducted a constant comparative thematic analysis of stakeholder discussions captured during a full-day National eConsult Forum meeting held in Ottawa, Canada, on 11 December 2017. Sixty-four participants attended, representing provincial and territorial governments, national organisations, healthcare providers, researchers and patients. Proceedings were recorded, transcribed and underwent qualitative analysis using the Framework for Applied Policy Research. RESULTS: This study identified four main themes that were critical to support the intentional efforts to spread and scale-up eConsult across Canada, namely (1) identifying population care needs and access problems, (2) engaging stakeholders who were willing to roll up their sleeves and take action, (3) building on current strategies and policies, and (4) measuring and communicating outcomes. CONCLUSIONS: Efforts to promote innovation in healthcare are more likely to succeed if they are based on an understanding of the forces that drive the spread and scale-up of innovation. Further research is needed to develop and strengthen the conceptual and applied foundations of the spread and scale-up of healthcare innovations, especially in the context of emergent learning health systems across Canada and beyond.

How long are Canadians waiting to access specialty care? Retrospective study from a primary care perspective.

OBJECTIVE: To calculate patient wait times for specialist care using data from primary care clinics across Canada. DESIGN: Retrospective chart audit. SETTING: Primary care clinics. PARTICIPANTS: A total of 22 primary care clinics across 7 provinces and 1 territory. MAIN OUTCOME MEASURES: Wait time 1, defined as the period between a patient's referral by a family physician to a specialist and the visit with said specialist. RESULTS: Overall, 2060 referrals initiated between January 2014 and December 2016 were included in the analysis. The median national wait time 1 was 78 days (interquartile range [IQR] of 34 to 175 days). The shortest waits were observed in Saskatchewan (51 days; IQR = 23 to 101 days) and British Columbia (59 days; IQR = 29 to 131 days), whereas the longest were in New Brunswick (105 days; IQR = 43 to 242 days) and Quebec (104 days; IQR = 36 to 239 days). Median wait time 1 varied substantially among different specialty groups, with the longest wait time for plastic surgery (159 days; IQR = 59 to 365 days) and the shortest for infectious diseases (14 days; IQR = 6 to 271 days). CONCLUSION: This is the first national examination of wait time 1 from the primary care perspective. It provides a picture of patient access to specialists across provinces and specialty groups. This research provides decision makers with important context for developing programs and policies aimed at addressing the largely ignored stage of the wait time continuum from the time of referral to eventual appointment time with the specialist.

The Feasibility of Using Electronic Consultation in Long-Term Care Homes.

Patients in long-term care (LTC) homes face barriers to accessing specialist advice. Electronic consultation (eConsult) has the potential to improve access for these patients. We used a multi-method approach to evaluate adoption of the Champlain BASE eConsult service in LTC homes across Eastern Ontario, Canada. We conducted a cross-sectional study of all eConsults submitted by primary care providers (PCPs) working at LTC homes between January 1, 2018 and December 31, 2018. Service use data were collected and descriptive statistics were calculated. We completed a thematic analysis of 4 focus groups with PCPs, senior leadership, and a nurse champion working in LTC homes where eConsult is used. Sixty-four cases were submitted to 23 specialty and subspecialty groups by LTC PCPs, most frequently dermatology (19%), geriatric medicine (11%), and infectious disease (9%). Specialists responded in a median of 0.6 days, and 70% of cases were resolved without the resident needing a face-to-face specialist visit. In 60% of cases, PCPs received advice for a new or additional course of action. Participants described complexities in the LTC context, the value of eConsult in LTC, and considerations for implementation. PCPs with experience using the service described increased access to specialist advice, ease of use, and benefits to themselves, residents, and families. eConsult is feasible in LTC and should continue to be used in this region and beyond to improve equity of access to specialist advice. Resolving the identified limitations in LTC, which hinder access to specialists and adoption of eConsult and similar innovations, should be of high priority to researchers and policy makers.

Effective Integration of an eConsult Service into an Existing Referral Workflow Within a Primary Care Clinic.

Background: When implementing e-health solutions, effective integration into a clinic's existing processes is essential to facilitate adoption and sustained usage. Introduction: This article examines the effectiveness of adoption/utilization of an electronic consultation (eConsult) service by primary care providers (PCPs) using a "delegate model," through which referral clerks manage requests on behalf of PCPs, thereby reducing PCPs' administrative burden. Materials and Methods: We conducted a retrospective cross-sectional study of all eConsults submitted between May 1, 2013, and December 31, 2017, by the Bruyère Academic Family Health Team (FHT), after the clinic implemented the service using a delegate model. We assessed system utilization, including monthly volume of submitted eConsults, requested specialties, and impact on PCP referral behavior based on the mandatory closeout surveys. We also conducted a subanalysis to compare the volumes of eConsults per provider between the FHT and all other providers. Results: The Bruyère Academic FHT submitted 3,233 eConsult cases. Volume increased 3.5 fold, from 285 in the first year to 1,016 in the last year. Active Bruyère Academic FHT providers (those who submitted ≥3 cases in 6 months) submitted a median of 25 eConsults (interquartile range [IQR]: 14.75-35.25) versus 14 (IQR 8-24) for all other active users. In 36% of cases, a referral was originally contemplated but avoided based on specialist advice. In 5% of cases, the referral was not originally contemplated but deemed appropriate by the PCP based on specialist advice. Discussion: Our findings show high levels of eConsult use in the clinic utilizing a delegate model, which persisted throughout the study period and was reported to significantly reduce the backlog of traditional referrals at the clinic. Conclusions: The integration of eConsult capability into existing clinic operations was successful in that it allowed the PCPs to request eConsult using a familiar process, avoiding the challenges associated with adopting a new and unfamiliar technology.

Key Components of Traditional Consultation Letters and Their Relevance to Electronic Consultation Replies: A Systematic Review.

Background: Effective communication between primary care providers (PCPs) and specialists plays a key role in providing high-quality patient care. A high-quality referral process should involve referral letters containing all information that is necessary to support shared care between primary and specialty care. Introduction: There is no consensus on the optimal components of specialist-to-PCP communication after a face-to-face patient encounter or in the context of the emerging field of electronic consultations (eConsult). In this study, we aimed at synthesizing the evidence on key components of a traditional consultation letter and at determining whether they can be applied to eConsult replies. Methods: We conducted a systematic review by using a narrative synthesis approach. We searched Pubmed and Embase from inception to January/March 2016 (English). Included studies focused on features of specialists' responses to PCPs. We extracted components of a consultation letter that were identified to be of importance to PCPs and attempted to relate their applicability to eConsult replies. Results: The search revealed 744 potentially relevant citations, of which 65 were deemed eligible for full-text review. Forty-one papers were excluded on full-text review, resulting in 24 studies included in the final synthesis. Important components of consultation letters that were applicable to eConsults included: answering a direct question, providing a diagnosis, providing treatment options, providing education around the case, providing a prognosis, and arranging follow-up, clarity, and organization. Key differences between traditional and eConsult replies included the history and physical investigations, impression, plan, and rationale for plan/education. Conclusion: When seeking to improve the quality of specialist reply letters in both traditional and eConsult replies, one should consider differences in how information is collected and accessed, the role of each provider, and factors that impact specialist-to-PCP communication.

Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data.

BACKGROUND: Electronic consultation (eConsult) services are secure online applications facilitating provider-to-provider communication. They have been found to improve access to specialist care. However, little is known about eConsult's impact on family physicians' referral rates to specialty care. The objective of this study was to assess the impact of a multispecialty eConsult service on referral rates from primary care. METHODS: In this parallel-arm, randomized controlled trial, we recruited primary care providers across Ontario not previously enrolled with eConsult. We randomly assigned participants to intervention and control arms. Participants in the intervention arm received access to eConsult for a period of 1 year while those in the control arm received no access to eConsult. The main outcome was specialist referral rate, expressed as the total number of referrals to (1) specialties available through eConsult, and (2) all medical specialties, per 100 patients seen. Multivariable negative binomial regression analysis was used to evaluate the effect of the intervention before and after adjusting for provider characteristics, using health administrative data. RESULTS: One hundred and thirteen participants were randomized (56 to control and 57 to intervention). For the primary outcome (referrals to eConsult specialties), the results show a statistically significant reduction in the number of referrals in both arms (control-arm Rate Ratio (RR), 0.85, 95% CI 0.79 to 0.91; intervention-arm RR, 0.80, 95% CI 0.74 to 0.85; unadjusted and adjusted RR values almost identical), as compared to the baseline data collected during the 12-month period before randomization, with a non-statistically significant 6% greater reduction in referrals in the intervention arm, compared to the control arm (unadjusted RR 0.94, 95% CI 0.85 to 1.03; adjusted RR 0.93, 95% CI 0.85 to 1.03). CONCLUSIONS: Our randomized controlled trial of a multispecialty eConsult service demonstrated inconclusive results in terms of the impact of eConsult on physician referral rates. Findings are discussed in light of important limitations associated with conducting randomized controlled trials (RCTs) of complex interventions in the primary care context with intent to inform the design and analysis of future trials. TRIAL REGISTRATION: Clinicaltrials.gov, ID: NCT02053467 . Registered prospectively on 3 February 2014.

Primary Care Clinician Adherence to Specialist Advice in Electronic Consultation.

PURPOSE: Electronic consultation (eConsult) services can improve access to specialist advice. Little is known, however, about whether and how often primary care clinicians adhere to the advice they receive. We evaluated how primary care clinicians use recommendations conveyed by specialists via the Champlain BASE (Building Access to Specialists through eConsultation) eConsult service and how eConsult affects clinical management of patients in primary care. METHODS: This is a descriptive analysis based on a retrospective chart audit of 291 eConsults done between January 20, 2017 and August 31, 2017 at the Bruyère Family Health Team, located in Ottawa, Canada. Patients' charts were reviewed until 6 months after specialist response for the following main outcomes: implementation of specialist advice by primary care clinicians, communication of the results to the patients, method, and time frame of communication. RESULTS: Primary care clinicians adhered to specialist advice in 82% of cases. Adherence ranged from 62% to 93% across recommendation categories. Questions asked by primary care clinicians related to diagnosis (63%), management (27%), drug treatment (10%), and procedures (1%). Recommendations of the eConsult were communicated to patients in 79% of cases, most often by face-to-face visit (38%), telephone call (32%), or use of the patient portal (9%). Communication occurred in a median of 5 days. CONCLUSIONS: We found little evidence of barriers to implementing specialist advice with use of eConsult, which suggests recommendations given through service were actionable. With a high primary care clinician adherence to specialist recommendations and primary care clinician-to-patient communication, we conclude that eConsult delivers good-quality care and improves patient management.

Assessment of the Generalizability of an eConsult Service through Implementation in a New Health Region.

INTRODUCTION: Excessive wait times for specialist care are a significant issue in many countries. Electronic consultation (eConsult) services have demonstrated the ability to improve access to specialist care. In this article, we evaluated the implementation of a successful eConsult service in a new jurisdiction to test its generalizability. METHODS: We used a multimethod approach to evaluate the Champlain Building Access to Specialists through eConsultation eConsult service's implementation in the South East Local Health Integration Network of Ontario, Canada. Our quantitative analysis drew on use data collected automatically by the service and survey responses completed between February 1, and June 15, 2017. For our qualitative analysis, we conducted a thematic analysis of 3 focus groups with primary care providers and specialists participating in the pilot study. RESULTS: Forty-nine out of the potential 219 primary care providers in Kingston submitted 301 cases to 24 specialty groups during the study period. Monthly case volume grew from 15 in February to 90 in May. The most frequently requested specialties included dermatology (n = 59), cardiology (n = 27), and gastroenterology (n = 26). Specialists responded in a median of 2 days, and a referral was originally contemplated but ultimately avoided in 40% of cases. Providers spoke positively of the service, citing high levels of satisfaction, enhanced collegiality, increased trust, and improved patient flow. CONCLUSIONS: Adoption of the eConsult service in the South East Local Health Integration Network was successful. The service exceeded all adoption targets, and the number of completed cases demonstrated a consistently upward trend, suggesting continued growth beyond the study's duration. The service's rate of adoption, high levels of satisfaction, and use data similar to other regions all demonstrate eConsult's generalizability.

A Systematic Review of Asynchronous, Provider-to-Provider, Electronic Consultation Services to Improve Access to Specialty Care Available Worldwide.

BACKGROUND: Electronic consultation (eConsult) is an asynchronous electronic communication tool allowing primary care providers to obtain a specialist consultant's expert opinion in a timely manner, thereby offering a potential solution to excessive wait times for specialist care, which remain a serious concern in many countries. INTRODUCTION: Our 2014 review of eConsult services demonstrated feasibility and high acceptability among patients and providers. However, gaps remain in knowledge regarding eConsult's impact on system costs and patient outcomes. MATERIALS AND METHODS: Following the PRISMA guidelines, we conducted a systematic review in May 2017 of English and French literature on OVID Medline, EMBASE, ERIC, and CINAHL databases, examining all studies on eConsult services published since our previous review. The Quadruple Aim Framework was used to synthesize outcomes. Articles reporting on the impact of eConsult on access, patient safety and satisfaction, utilization rates, clinical workflow, and continuing medical education were analyzed using a narrative synthesis approach. RESULTS: The initial search yielded 1,021 results, 50 of which were included on abstract and received a quality assessment and full text review. Of these, 43 were included in our final analysis. Results demonstrated the worldwide presence of eConsult services in North America and countries beyond, including Brazil, Australia, Spain, and The Netherlands. The breadth of specialty services offered has greatly expanded beyond dermatology and includes cardiology, nephrology, and hematology among others. Overall impact on access measures, acceptability, cost, and provider satisfaction remain positive. There is limited research on population health outcomes of morbidity and mortality. CONCLUSIONS: The availability of eConsult services has spread both geographically and in terms of specialty services offered. By allowing for a greater population to be served, access to care is being improved; however, long-term impact should continue to be assessed with a focus on patient safety, morbidity, mortality, and cost effectiveness metrics.

Electronic Consultation Services Worldwide: Environmental Scan.

BACKGROUND: Excessive wait times for specialist care pose a serious concern for many patients, leading to duplication of tests, patient anxiety, and poorer health outcomes. In response to this issue, many health care systems have begun implementing technological innovations designed to improve the referral-consultation process. Among these services is electronic consultation (eConsult), which connects primary care providers and specialists through a secure platform to facilitate discussion of patients' care. OBJECTIVE: This study aims to examine different eConsult services available worldwide and compare the strategies, barriers, and successes of their implementation in different health care contexts. METHODS: We conducted an environmental scan comprising 3 stages as follows: literature review; gray literature search; and targeted, semistructured key informant interviews. We searched MEDLINE and EMBASE (literature review) and Google (gray literature search). Upon completing the search, we generated a list of potential interview candidates from among the stakeholders identified. Potential participants included researchers, physicians, and decision makers. The maximum variation sampling was used to ensure sufficient breadth of participant experience. In addition, we conducted semistructured interviews by telephone using an interview guide based on the RE-AIM framework. Analyses of transcripts were conducted using a thematic synthesis approach. RESULTS: A total of 53 services emerged from the published and gray literature. Respondents from 10 services participated in telephonic interviews. The following 4 major themes emerged from the analysis: service structure; benefits of eConsult; implementation challenges; and implementation enablers. CONCLUSIONS: eConsult services have emerged in a variety of countries and health system contexts worldwide. Despite differences in structure, platform, and delivery of their services, respondents described similar barriers and enablers to the implementation and growth and reported improved access and high levels of satisfaction.

Using an Integrated Knowledge Translation (IKT) Approach to Enable Policy Change for Electronic Consultations in Canada.

This paper explores our efforts to support the expansion of a regional electronic consultation (eConsult) service on a national level by addressing potential policy barriers. We used an integrated knowledge translation (IKT) strategy based on five key activities leading to a National eConsult Policy Think Tank meeting: (1) identifying potential policy enablers and barriers; (2) engaging national and provincial/territorial partners; (3) including patient voices; (4) undertaking co-design and planning; and (5) adopting a solution-based approach. We successfully leveraged a diverse set of stakeholders in strategic discussions, culminating in actionable suggestions for next steps, which will serve to inform a national implementation strategy.

The use of electronic consultations is associated with lower specialist referral rates: a cross-sectional study using population-based health administrative data.

Background: The referral-consultation process can be difficult to navigate. Electronic consultations (eConsults) can help streamline referrals by facilitating inter-provider communication. Objective: We evaluated the potential effect of eConsult on specialist referral rates in Ontario among family physicians providing comprehensive care. Methods: We conducted a retrospective 1:3 matched cohort study examining total referrals and referrals to all available medical specialties from primary care providers between 1 April 2014 and 31 March 2015. We used multivariable random effects Poisson regression analysis to compare referral rates between eConsult and non-eConsult users while adjusting for relevant patient and provider characteristics. Referral rates were expressed per physician, per 100 patients and per 100 patient encounters. Results: There were 113197 referrals across all medical specialties made by 119 eConsult physicians and 352 matched controls. Referral rates per physician were significantly lower in the eConsult group for all specialty groupings [unadjusted rate ratio (RR) = 0.87, 95% confidence interval (CI) = 0.80-0.95; adjusted RR = 0.92, 95% CI = 0.85-1.00]. Referral rates per patient were lower among eConsult physicians (unadjusted RR = 0.91, 95% CI = 0.84-0.98) but this difference was not statistically significant after adjustment (adjusted RR = 0.96, 95% CI = 0.90-1.02). No statistically significant difference was observed when referrals were expressed per 100 patient encounters. Conclusion: This is the first Canadian study to examine the potential effect of eConsult on overall referrals at a population level. Our findings demonstrate that using eConsult service is associated with fewer referrals from primary to specialist care, with considerable potential for cost savings to our single-payer system.

Sustainability of a Primary Care-Driven eConsult Service.

PURPOSE: Excessive wait times for specialist appointments pose a serious barrier to patient care. To improve access to specialist care and reduce wait times, we launched the Champlain BASE (Building Access to Specialists through eConsultation) eConsult service in April 2011. The objective of this study is to report on the impact of our multiple specialty eConsult service during the first 5 years of use after implementation, with a focus on growth and sustainability. METHODS: We conducted a cross-sectional study of all eConsult cases submitted between April 1, 2011 and April 30, 2016, and measured impact with system utilization data and mandatory close-out surveys completed at the end of each eConsult. Impact indicators included time interval to obtain specialist advice, effect of specialist advice on the primary care clinician's course of action, and rate of avoidance of face-to-face visits. RESULTS: A total of 14,105 eConsult cases were directed to 56 different medical specialty groups, completed with a median response time of 21 hours, and 65% of all eConsults were resolved without a specialist visit. We observed rapid growth in the use of eConsult during the study period: 5 years after implementation the system was in use by 1,020 primary care clinicians, with more than 700 consultations taking place per month. CONCLUSIONS: This study presents the first in-depth look at the growth and sustainability of the multispecialty eConsult service. The results show the positive impact of an eConsult service and can inform other regions interested in implementing similar systems.

Understanding Patient Referral Wait Times for Specialty Care in Ontario: A Retrospective Chart Audit.

CONTEXT: When examining wait times for specialist care, the duration between a patient's referral and specialist visit (wait time one) is poorly understood. OBJECTIVES: To calculate wait time one in primary care clinics across Ontario using chart audit. METHODS: We conducted a retrospective chart audit at five Ontario-based primary care clinics in 2014-2015. RESULTS: We analyzed 461 referrals. Median wait time one for non-urgent and urgent referrals was 79 and 49 days, respectively. Gastroenterology, obstetrics/gynecology, and ear, nose and throat received the most referrals. Wait times were longest for dermatology (112 days) and shortest for general surgery (32 days). CONCLUSION: Wait times vary substantially by referral urgency and specialty type in Ontario. Calculating wait time from primary care clinics directly offers new perspectives on wait time one and enables clinics to target improvement efforts to best meet patient needs. Our findings will be relevant to providers and policy makers interested in implementing strategies to reduce wait times.