Perception of the compatibility of Quebec residency program characteristics with the advanced access model: a cross-sectional study.

BACKGROUND: The advanced access (AA) model is among the most recommended innovations for improving timely access in primary care (PC). AA is based on core pillars such as comprehensive planning for care needs and supply, regularly adjusting supply to demand, optimizing appointment systems, and interprofessional collaborative practices. Exposure of family medicine residents to AA within university-affiliated family medicine groups (U-FMGs) is a promising strategy to widen its dissemination and improve access. Using four AA pillars as a conceptual model, this study aimed to determine the theoretical compatibility of Quebec's university-affiliated clinics' residency programs with the key principles of AA. METHODS: A cross-sectional online survey was sent to the chief resident and academic director at each participating clinic. An overall response rate of 96% (44/46 U-FMGs) was obtained. RESULTS: No local residency program was deemed compatible with all four considered pillars. On planning for needs and supply, only one quarter of the programs were compatible with the principles of AA, owing to residents in out-of-clinic rotations often being unavailable for extended periods. On regularly adjusting supply to demand, 54% of the programs were compatible. Most (82%) programs' appointment systems were not very compatible with the AA principles, mostly because the proportion of the schedule reserved for urgent appointments was insufficient. Interprofessional collaboration opportunities in the first year of residency allowed 60% of the programs to be compatible with this pillar. CONCLUSIONS: Our study highlights the heterogeneity among local residency programs with respect to their theoretical compatibility with the key principles of AA. Future research to empirically test the hypotheses raised by this study is warranted.

Association between sustained opioid prescription and frequent emergency department use: a cohort study.

BACKGROUND: Chronic non-cancer pain (CNCP) is common among frequent emergency department (ED) users, although factors underlying this association are unclear. This study estimated the association between sustained opioid use and frequent ED use among patients with CNCP. METHODS: Retrospective cohort study using a Canadian provincial health insurer database (Régie d'Assurance Maladie du Québec). The database included adults with both ≥1 chronic condition and ≥ 1 ED visit in 2012 or 2013. Inclusion in the study further required a CNCP diagnosis, public drug insurance coverage and 1-year survival after the first ED visit in 2012 or 2013 (index visit). Multivariable logistic regression was used to derive ORs of frequent ED use (≥5 visits in the year following the index visit) subsequent to sustained opioid use (≥60 days opioids prescription within 90 days preceding the index visit), adjusting for important covariables. RESULTS: From 576 688 patients in the database, 58 237 were included in the study. Of these, 4109 (7.1%) had received a sustained opioid prescription and 4735 (8.1%) were frequent ED users in the follow-up year. Sustained opioid use was not associated with frequent ED use in the multivariable model (OR: 1.06, 95% CI 0.94 to 1.19). Novel associated covariables were benzodiazepine prescription (OR: 1.21, 95% CI 1.12 to 1.30) and polypharmacy (OR: 1.23, 95% CI 1.13 to 1.34). CONCLUSIONS: Due to confounding by social and medical vulnerability, patients with CNCP with sustained opioid use appear to have a higher propensity for frequent ED use in unadjusted models. However, sustained opioid use was not associated with frequent ED use in these patients after adjustment.

Risk of Frequent Emergency Department Use Among an Ambulatory Care Sensitive Condition Population: A Population-based Cohort Study.

BACKGROUND: A small fraction of patients use a disproportionately large amount of emergency department (ED) resources. Identifying these patients, especially those with ambulatory care sensitive conditions (ACSC), would allow health care professionals to enhance their outpatient care. OBJECTIVE: The objectives of the study were to determine predictive factors associated with frequent ED use in a Quebec adult population with ACSCs and to compare several models predicting the risk of becoming an ED frequent user following an ED visit. RESEARCH DESIGN: This was an observational population-based cohort study extracted from Quebec's administrative data. SUBJECTS: The cohort included 451,775 adult patients, living in nonremote areas, with an ED visit between January 2012 and December 2013 (index visit), and previously diagnosed with an ACSC but not dementia. MEASURES: The outcome was frequent ED use (≥4 visits) during the year following the index visit. Predictors included sociodemographics, physical and mental comorbidities, and prior use of health services. We developed several logistic models (with different sets of predictors) on a derivation cohort (2012 cohort) and tested them on a validation cohort (2013 cohort). RESULTS: Frequent ED users represented 5% of the cohort and accounted for 36% of all ED visits. A simple 2-variable prediction model incorporating history of hospitalization and number of previous ED use accurately predicted future frequent ED use. The full model with all sets of predictors performed only slightly better than the simple model (area under the receiver-operating characteristic curve: 0.786 vs. 0.759, respectively; similar positive predictive value and number needed to evaluate curves). CONCLUSIONS: The ability to identify frequent ED users based only on previous ED and hospitalization use provides an opportunity to rapidly target this population for appropriate interventions.

Chronic pain and frequent use of emergency department: A systematic review.

INTRODUCTION: Emergency department (ED) overcrowding is an important issue in healthcare worldwide. A small group of patients account for a disproportionate number of ED visits and a few studies have suggested that chronic pain (CP) sufferers may be part of that group. The aim of this study was to review all studies having examined the association between CP and frequent use of ED services. METHODS: A systematic review of the literature was performed. The CINAHL, PsycINFO, PubMed and Scopus databases were searched from January 1997 to August 2019, using a strategy containing the keywords frequent use, CP and ED. Two independent reviewers screened articles and assessed methodological quality using the Joanna Briggs Institute tool for prevalence studies. To be included in the review, studies had to: (1) document frequent use of ED services; (2) evaluate CP patients; and (3) use regression models. Studies were excluded if they addressed cancer pain; evaluated an intervention; or targeted an exclusively paediatric population. A narrative synthesis was conducted. RESULTS: Of the 1182 articles identified, 927 remained after removing duplicates and 47 remained after the evaluation of titles and abstracts, which were read completely. Finally, five articles, published between 2004 and 2016, were included in the study. Every study showed that CP was associated with higher ED visits. Two studies documented that frequent users had a higher level of disability than non-frequent users, or that disability was associated with frequent use. CONCLUSIONS: This review suggests that CP is associated with frequent use of ED services.

Statistical tools used for analyses of frequent users of emergency department: a scoping review.

OBJECTIVE: Frequent users represent a small proportion of emergency department users, but they account for a disproportionately large number of visits. Their use of emergency departments is often considered suboptimal. It would be more efficient to identify and treat those patients earlier in their health problem trajectory. It is therefore essential to describe their characteristics and to predict their emergency department use. In order to do so, adequate statistical tools are needed. The objective of this study was to determine the statistical tools used in identifying variables associated with frequent use or predicting the risk of becoming a frequent user. METHODS: We performed a scoping review following an established 5-stage methodological framework. We searched PubMed, Scopus and CINAHL databases in February 2019 using search strategies defined with the help of an information specialist. Out of 4534 potential abstracts, we selected 114 articles based on defined criteria and presented in a content analysis. RESULTS: We identified four classes of statistical tools. Regression models were found to be the most common practice, followed by hypothesis testing. The logistic regression was found to be the most used statistical tool, followed by χ2 test and t-test of associations between variables. Other tools were marginally used. CONCLUSIONS: This scoping review lists common statistical tools used for analysing frequent users in emergency departments. It highlights the fact that some are well established while others are much less so. More research is needed to apply appropriate techniques to health data or to diversify statistical point of views.