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.

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.

Who Uses eConsult? Investigating Physician Characteristics Associated with Usage (and Nonusage).

BACKGROUND: The Champlain BASE™ eConsult Service was developed in a Local Health Integration Network (LHIN) in Ontario, Canada in 2010 to reduce wait times and improve access to specialist care. The service allows primary care providers to receive advice from specialists via a secure electronic platform without necessarily requiring a face-to-face consultation. INTRODUCTION: As of 2015, over half of the LHIN's family physicians were registered and trained to use the service. However, 24% of registrants never went on to submit a case. The purpose of this study is to examine the demographic characteristics associated with usage. MATERIALS AND METHODS: Usage data for the pool of physicians registered between January 1, 2011 and September 30, 2015 were linked to physician characteristics retrieved from the College of Physicians and Surgeons of Ontario database. Probit regressions were estimated to determine characteristics associated with usage. RESULTS: Neither sex, being an international medical school graduate-documented predictors of electronic medical records adoption-nor proximity to specialists were found to explain usage. Only length of time in practice was found to be predictive. Being out of medical school an additional 10 years was estimated to decrease the probability of ever using eConsult by five percentage points (p < 0.01). CONCLUSION: Lower use by veteran physicians may reflect their lower need for services like eConsult given their well-established specialist networks, or their greater confidence in practicing medicine. Future work should explore the reasons and barriers for not registering, or not using eConsult, with an aim toward increasing the appropriate use of this cost-effective and innovative service.

Revisiting the relationship between wages and sleep duration: The role of insomnia.

This paper uses the 2005 and 2010 Canadian General Social Surveys (Time Use) to investigate the effect of wages on the sleep duration of individuals in the labour force. The endogeneity of wages is taken into account with an instrumental variables approach; we find that the wage rate affects sleeping time in general, corroborating Biddle and Hamermesh's (1990) main conclusion. A ten percent increase in the wage rate leads to an 11-12min decrease in sleep per week. But this number masks several effects. The responsiveness of sleep time to wage rate changes depends upon the sex of the individual, whether or not sleep problems are present and general economic conditions. By far the largest adjustment is found for insomniacs in 2010, a year of general economic downturn in Canada. We also investigate the non-randomness of insomnia in the population by using a Heckman procedure, and find that the sleep time of female non-insomniacs is even more responsive to wage rate changes once account is taken of this selection bias, but otherwise selection was not a problem in our samples.

Practice facilitation for improving cardiovascular care: secondary evaluation of a stepped wedge cluster randomized controlled trial using population-based administrative data.

BACKGROUND: Practice facilitation (PF), a multifaceted approach in which facilitators (external health care professionals) help family physicians to improve their adoption of best practices, has been highly successful. Improved Delivery of Cardiovascular Care (IDOCC) was an innovative PF trial designed to improve evidence-based care for people who have, or are at risk of, cardiovascular disease (CVD). The intervention was found to be ineffective as assessed by a patient-level composite score based on chart reviews from a subsample of patients (N = 5292). Here, we used population-based administrative data to examine IDOCC's effect on CVD-related hospitalizations. METHODS: IDOCC used a pragmatic, stepped wedge cluster randomized controlled design involving primary care providers recruited across Eastern Ontario, Canada. IDOCC's effect on CVD-related hospitalizations was assessed in the 2 years of active intervention and post-intervention years. Marginal and mixed-effects regression analyses were used to account for the study design and to control for patient, physician, and practice characteristics. Secondary and subgroup analyses investigated robustness. RESULTS: Our sample included 262,996 patient/year observations representing 54,085 unique patients who had, or were at risk of, CVD, from 70 practices. There was a strong decreasing secular trend in CVD-related hospitalizations but no statistically significant effect of IDOCC. Relative to patients in the control condition, patients in the intervention condition were estimated to have 4 % lower odds of CVD-related hospitalizations (adjOR = 0.96, 99 % CI 0.83 to 1.11). The nonsignificant result persisted across robustness analyses. CONCLUSIONS: Clinical outcomes from administrative databases were examined to form a more complete picture of the (in)effectiveness of a large-scale quality improvement intervention. IDOCC did not have a significant effect on CVD hospitalizations, suggesting that the results from the primary composite adherence score analysis were neither due to choice of outcome nor relatively short follow-up period. TRIAL REGISTRATION: ClinicalTrials.gov NCT00574808 , registered on 14 December 2007.

What are the cost savings associated with providing access to specialist care through the Champlain BASE eConsult service? A costing evaluation.

OBJECTIVE: This study estimates the costs and potential savings associated with all eConsult cases completed between 1 April 2014 and 31 March 2015. DESIGN: Costing evaluation from the societal perspective estimating the costs and potential savings associated with all eConsults completed during the study period. SETTING: Champlain health region in Eastern Ontario, Canada. POPULATION: Primary care providers and specialists registered to use the eConsult service. MAIN OUTCOME MEASURES: Costs included (1) delivery costs; (2) specialist remuneration; (3) costs associated with traditional (face-to-face) referrals initiated as a result of eConsult. Potential savings included (1) costs of traditional referrals avoided; (2) indirect patient savings through avoided travel and lost wages/productivity. Net potential societal cost savings were estimated by subtracting total costs from total potential savings. RESULTS: A total of 3487 eConsults were completed during the study period. In 40% of eConsults, a face-to-face specialist visit was originally contemplated but avoided as result of eConsult. In 3% of eConsults, a face-to-face specialist visit was not originally contemplated but was prompted as a result of the eConsult. From the societal perspective, total costs were estimated at $207 787 and total potential savings were $246 516. eConsult led to a net societal saving of $38 729 or $11 per eConsult. CONCLUSIONS: Our findings demonstrate potential cost savings from the societal perspective, as patients avoided the travel costs and lost wages/productivity associated with face-to-face specialist visits. Greater savings are expected once we account for other costs such as avoided tests and visits and potential improved health outcomes associated with shorter wait times. Our findings are valuable for healthcare delivery decision-makers as they seek solutions to improve care in a patient-centred and efficient manner.

A comparison of referral patterns to a multispecialty eConsultation service between nurse practitioners and family physicians: The case for eConsult.

PURPOSE: To explore referral patterns of nurse practitioners (NPs) and family physicians (FPs) using an electronic consultation (eConsult) service, and assess their perspectives on the service's value to their patients and themselves. DATA SOURCES: A mixed methods study including a cross-sectional analysis of utilization data drawn from all eConsults completed from April 15, 2011 to September 30, 2014, and a content analysis of NP survey responses completed from January 1 to September 30, 2014. CONCLUSIONS: A total of 4260 eConsults were included in the cross-sectional analysis (3686 from FPs and 574 from NPs). In our sample, NPs directed more cases to dermatology and fewer cases to cardiology and neurology (p < .0001) than did FPs, and were more likely to report that an eConsult led to new advice for a new or additional course of action (62.8% vs. 57.5%) and less likely to report it resulted in an avoided referral (35.5% vs. 41.8%, p = .005). NPs reported slightly higher levels of perceived value of eConsults for their patients and themselves. IMPLICATIONS FOR PRACTICE: Differences in use and impact of eConsult exist between NPs and FPs. NPs value the service highly for their patients and themselves. The service reduces potential inequities related to outdated payment and scope of practice policies.

A real-world stepped wedge cluster randomized trial of practice facilitation to improve cardiovascular care.

BACKGROUND: Practice facilitation has been associated with meaningful improvements in disease prevention and quality of patient care. Using practice facilitation, the Improved Delivery of Cardiovascular Care (IDOCC) project aimed to improve the delivery of evidence-based cardiovascular care in primary care practices across a large health region. Our goal was to evaluate IDOCC's impact on adherence to processes of care delivery. METHODS: A pragmatic stepped wedge cluster randomized trial recruiting primary care providers in practices located in Eastern Ontario, Canada (ClinicalTrials.gov: NCT00574808). Participants were randomly assigned by region to one of three steps. Practice facilitators were intended to visit practices every 3-4 (year 1-intensive) or 6-12 weeks (year 2-sustainability) to support changes in practice behavior. The primary outcome was mean adherence to indicators of evidence-based care measured at the patient level. Adherence was assessed by chart review of a randomly selected cohort of 66 patients per practice in each pre-intervention year, as well as in year 1 and year 2 post-intervention. RESULTS: Eighty-four practices (182 physicians) participated. On average, facilitators had 6.6 (min: 2, max: 11) face-to-face visits with practices in year 1 and 2.5 (min: 0 max: 10) visits in year 2. We collected chart data from 5292 patients. After adjustment for patient and provider characteristics, there was a 1.9 % (95 % confidence interval (CI): -2.9 to -0.9 %) and 4.2 % (95 % CI: -5.7 to -2.6 %) absolute decrease in mean adherence from baseline to intensive and sustainability years, respectively. CONCLUSIONS: IDOCC did not improve adherence to best-practice guidelines. Our results showed a small statistically significant decrease in mean adherence of questionable clinical significance. Potential reasons for this result include implementation challenges, competing priorities in practices, a broad focus on multiple chronic disease indicators, and use of an overall index of adherence. These results contrast with findings from previously reported facilitation trials and highlight the complexities and challenges of translating research findings into clinical practice. TRIAL REGISTRATION: ClinicalTrials.gov NCT00574808.

What are the Costs of Improving Access to Specialists through eConsultation? The Champlain BASE Experience.

Excessive wait times and poor access to care are among the most significant problems facing health care service delivery in Canada and beyond. We implemented the Champlain BASE eConsult service in the region of Ottawa, Canada to increase access to specialist care. We have collected ongoing utilization data and provider surveys over a three year period, providing a unique opportunity to explore the economic aspects of this multispecialty eConsult service. This is an economic evaluation from the perspective of the payer: the Ministry of Health and Long-Term Care of Ontario. All eConsults submitted during April 1, 2011 to March 31, 2014 were included. We attributed cost savings only to those cases where an eConsult led to the avoidance of a face-to-face specialist visit. A total of 2606 eConsults directed to 27 different speciality groups were included. In 40.3% (n=1051) of cases processed, a face-to-face specialist visit was originally planned but avoided as a result of eConsult, while 29% led to a referral. The estimated cost per eConsult for Years 1, 2, and 3 were $131.05, $10.34, and $6.45 respectively. Results from a sensitivity analysis project that the eConsult service will break even once we reach 7818 eConsults. This is one of the first studies to examine costs across a multispecialty eConsult service. We saw a marked decrease in the cost per eConsult over each annual period. Future research is needed to identify and examine similar outcomes that may lead to cost savings.

Quality of cardiovascular disease care in Ontario, Canada: missed opportunities for prevention - a cross sectional study.

BACKGROUND: Primary care plays a key role in the prevention and management of cardiovascular disease (CVD). We examined primary care practice adherence to recommended care guidelines associated with the prevention and management of CVD for high risk patients. METHODS: We conducted a secondary analysis of cross-sectional baseline data collected from 84 primary care practices participating in a large quality improvement initiative in Eastern Ontario from 2008 to 2010. We collected medical chart data from 4,931 patients who either had, or were at high risk of developing CVD to study adherence rates to recommended guidelines for CVD care and to examine the proportion of patients at target for clinical markers such as blood pressure, lipid levels and hemoglobin A1c. RESULTS: Adherence to preventive care recommendations was poor. Less than 10% of high risk patients received a waistline measurement, half of the smokers received cessation advice, and 7.7% were referred to a smoking cessation program. Gaps in care exist for diabetes and kidney disease as 54.9% of patients with diabetes received recommended hemoglobin-A1c screenings, and only 55.8% received an albumin excretion test. Adherence rates to recommended guidelines for coronary artery disease, hypertension, and dyslipidemia were high (>75%); however <50% of patients were at target for blood pressure or LDL-cholesterol levels (37.1% and 49.7% respectively), and only 59.3% of patients with diabetes were at target for hemoglobin-A1c. CONCLUSIONS: There remain significant opportunities for primary care providers to engage high risk patients in prevention activities such as weight management and smoking cessation. Despite high adherence rates for hypertension, dyslipidemia, and coronary artery disease, a significant proportion of patients failed to meet treatment targets, highlighting the complexity of caring for people with multiple chronic conditions.

The mental health of canadians with self-reported learning disabilities.

There has been growing concern as to the mental health status of persons with learning disabilities (PWLD). This study examined rates of mental health problems among PWLD aged 15 to 44 years using a large, nationally representative data set. PWLD were more than twice as likely to report high levels of distress, depression, anxiety disorders, suicidal thoughts, visits to mental health professionals, and poorer overall mental health than were persons without disabilities (PWOD). Multivariate regression analyses determined that these significantly higher rates of mental health problems remained for all six measures after controlling for confounding factors including income, education, social support, and physical health. Differences found in the older adult sample (ages 30-44) were even larger than in the adolescent sample (ages 15-21) for suicidal thoughts, depression, and distress. Males with learning disabilities were more likely to report depressive episodes, anxiety disorders, and consultations with health professionals, whereas females with learning disabilities were more likely to report high distress, suicidal thoughts, and poor general mental health relative to PWOD. On balance, learning disabilities were not found to be more detrimental to mental health for one gender or the other.