With 4.6 million patients who do not have a regular family physician, Canada performs poorly compared to other OECD countries in terms of attachment to a family physician. To address this issue, several provinces have implemented centralized waiting lists to coordinate supply and demand for attachment to a family physician. Although significant resources are invested in these centralized waiting lists, no studies have measured their performance. In this article, we present a performance assessment of centralized waiting lists for unattached patients implemented in Quebec, Canada. We based our approach on the Balanced Scorecard method. A committee of decision-makers, managers, healthcare professionals, and researchers selected five indicators for the performance assessment of centralized waiting lists, including both process and outcome indicators. We analyzed and compared clinical-administrative data from 86 centralized waiting lists (GACOs) located in 14 regions in Quebec, from April 1, 2013, to March 31, 2014. During the study period, although over 150,000 patients were attached to a family physician, new requests resulted in a 30% median increase in patients on waiting lists. An inverse correlation of average strength was found between the rates of patients attached to a family physician and the proportion of vulnerable patients attached to a family physician meaning that as more patients became attached to an FP through GACOs, the proportion of vulnerable patients became smaller (r = −0.31, p < 0.005). The results showed very large performance variations both among GACOs of different regions and among those of a same region for all performance indicators. Centralized waiting lists for unattached patients in Quebec seem to be achieving their twofold objective of attaching patients to a family physician and giving priority to vulnerable patients. However, the demand for attachment seems to exceed the supply and there appears to be a tension between giving priority to vulnerable patients and attaching of a large number of patients. Results also showed heterogeneity in the performance of centralized waiting lists across Quebec. Finally, our findings suggest it is critical that similar mechanisms should use available data to identify the best strategies for reducing variations and improving performance.

Interdisciplinary teamwork (ITW) is deemed necessary for quality cancer care practices. Nevertheless, variation in ITW intensity among cancer teams is understudied, and quantitative evidence of the effect of different ITW intensities among cancer teams on patients’ perceived experience of care is limited. This study aims to compare patient-reported experience measures (PREMs) of cancer outpatients followed by teams characterized by high vs. low ITW intensity. The study is designed as an ex post facto quasi-experimental study. Participants (n = 1379) were recruited in nine outpatient oncology clinics characterized by different ITW intensities. ITW intensities were evaluated using the characteristics of structure (team composition and size) and process (interactions among team members), as per West’s seminal work on team effectiveness. ITW intensity was dichotomized (high vs. low ITW intensity). PREMs were classified and measured using validated scales corresponding to six dimensions: Prompt access to care, Person-centred response, Quality of patient-professional communication, Quality of the care environment, Continuity of care, and Results of care. Dichotomous variables were created for each dimension (positive vs. less positive experience). Multiple logistic regression analyses were performed to assess the association between ITW intensities and the six PREMs dimensions, while controlling for patient and organizational characteristics. PROC GENMOD was used to fit logistic models for categorical variables. Outpatients treated by teams characterized by high ITW intensity reported almost four times more positive perceptions of Prompt access to care compared to patients treated by low ITW intensity teams (OR = 3.99; CI = 1.89–8.41). High ITW intensity also positively affected patients’ perceptions of Quality of patient-professional communication (OR = 2.37; CI = 1.25–4.51), Person-centred response (OR = 2.11; CI = 1.05–4.24], and Continuity of care (OR = 2.18; CI = 1.07–4.45). No significant association was found between ITW intensity and perceived Results of care (OR = 1.31; CI = 0.68–2.52) or Quality of the care environment (OR = 0.66; CI = 0.31–1.39). This study provides empirical evidence, from the patient’s perspective, that ITW intensity affects some critical aspects of patient-reported quality of care. Future research will allow explaining how and why ITW structure and processes may contribute to positive cancer care experiences.

Little research has explored the process of disclosure decision-making from antecedents to outcomes. This paper presents a model of decision-making about disclosure of a mental health condition to ...

In coming years, patient-reported data are expected to play a more prominent role in ensuring early and efficient detection of healthcare system dysfunctions, developing interventions and evaluating their effects on health outcomes, and monitoring quality of care from the patient’s perspective. The concept of responsiveness relates to patient-reported experience measures that focus on the system’s response to service users’ legitimate expectations. We explored this concept in an effort to address unresolved issues related to measuring and interpreting patient experience. Our objectives in this study were to report on patients’ perceptions of cancer services responsiveness and to identify patient characteristics and organizational attributes that are potential determinants of a positive patient-reported experience. A cross-sectional survey was conducted of 1379 cancer patients in nine participating ambulatory cancer clinics in hospitals across the province of Quebec, Canada. They were invited to complete the Cancer Services Responsiveness tool, a 19-item questionnaire evaluating patients’ perceptions of the responsiveness of cancer services. Sociodemographic data and self-reported clinical and organizational data were collected. Descriptive statistical analysis, univariate and multivariate logistic regressions were performed. The patients surveyed generally perceived cancer services as highly responsive. The individual determinants of overall responsiveness found to be significant were self-assessed health status, age, and education level; organizational determinants were academic affiliation and geographic location of the clinic. Responsiveness refers to distinctive indicators of healthcare quality focused on patient-provider interactions and presents a complementary picture to other patient-reported experience measures. The identified determinants of patients’ positive experience with cancer services provide valuable information to guide care providers in targeting quality improvements. Finally, our results suggest these determinants should be further studied to eliminate confounders and produce usable results.

The objective of this systematic review is to quantify the association between recovery expectations and return-to-work outcomes in adults with musculoskeletal pain conditions. In addition, this review has the second objective to compare the predictive utility of single-item and multi-item recovery expectation scales on return-to-work outcomes. Relevant articles were selected from Embase, PsycINFO, PubMed, Cochrane, and manual searches. Studies that assessed recovery expectations as predictors of return-to-work outcomes in adults with musculoskeletal pain conditions were eligible. Data were extracted on study characteristics, recovery expectations, return-to-work outcomes, and the quantitative association between recovery expectations and return-to-work outcomes. Risk of bias was assessed using the Effective Public Health Practice Project. Odds ratios were pooled to examine the effects of recovery expectations on return-to-work outcomes. Chi-square analyses compared the predictive utility of single-item and multi-item recovery expectation scales on return-to-work outcomes. Thirty studies on a total of 28,741 individuals with musculoskeletal pain conditions were included in this review. The odds of being work disabled at follow-up were twice as high in individuals with low recovery expectations (OR = 2.06 [95% CI 1.20-2.92] P < 0.001). Analyses also revealed no significant differences in the predictive value of validated and nonvalidated single-item measures of recovery expectations on work disability (χ² = 1.68, P = 0.19). There is strong evidence that recovery expectations are associated with return-to-work outcomes. The results suggest that single-item measures of recovery expectations can validly be used to predict return-to-work outcomes in individuals with musculoskeletal pain conditions.