Using patient flow simulation to improve access at a multidisciplinary sleep centre.

The lack of timely access to diagnosis and treatment for sleep disorders is well described, but little attention has been paid to understanding how multiple system constraints contribute to long waiting times. The objectives of this study were to identify system constraints leading to long waiting times at a multidisciplinary sleep centre, and to use patient flow simulation modelling to test solutions that could improve access. Discrete-event simulation models of patient flow were constructed using historical data from 150 patients referred to the sleep centre, and used to both examine reasons for access delays and to test alternative system configurations that were predicted by administrators to reduce waiting times. Four possible solutions were modelled and compared with baseline, including addition of capacity to different areas at the sleep centre and elimination of prioritization by urgency. Within the model, adding physician capacity improved time from patient referral to initial physician appointment, but worsened time from polysomnography requisition to test completion, and had no effect on time from patient referral to treatment initiation. Adding respiratory therapist did not improve model performance compared with baseline. Eliminating triage prioritization worsened time to physician assessment and treatment initiation for urgent patients without improving waiting times overall. This study demonstrates that discrete-event simulation can identify multiple constraints in access-limited healthcare systems and allow suggested solutions to be tested before implementation. The model of this sleep centre predicted that investments in capacity expansion proposed by administrators would not reduce the time to a clinically meaningful patient outcome.

Vaccines for all: A formative evaluation of a multistakeholder community-engaged COVID-19 vaccine outreach clinic for migrant communities.

Background: Racialized, low-income, and migrant populations experience persistent barriers to vaccines against COVID-19. These communities in East and Northeast Calgary were disproportionately impacted by COVID-19, yet faced vaccine access barriers. Diverse multi-stakeholder coalitions and community partnerships can improve vaccine outreach strategies, but how stakeholders perceive these models is unknown. Methods: We conducted a formative evaluation of a low-barrier, community-engaged vaccine outreach clinic in Calgary, Alberta, Canada, on June 5-6, 2021. We delivered an online post-clinic survey to clinic stakeholders, to assess whether the clinic achieved its collectively derived pre-specified goals (effective, efficient, patient-centered, and safe), to asses whether the clinic model was scalable, and to solicit improvement recommendations. Survey responses were analyzed using descriptive statistics and thematic analysis. Results: Overall, 166/195 (85%) stakeholders responded. The majority were from non-healthcare positions (59%), between 30 and 49 years of age (87/136; 64%), and self-identified as racialized individuals (96/136; 71%). Respondents felt the clinic was effective (99.2%), efficient (96.9%), patient-centered (92.3%), and safe (90.8%), and that the outreach model was scalable 94.6% (123/130). There were no differences across stakeholder categories. The open-ended survey responses supported the scale responses. Improvement suggestions describe increased time for clinic planning and promotion, more multilingual staff, and further efforts to reduce accessibility barriers, such as priority check-in for people with disabilities. Conclusion: Diverse stakeholders almost universally felt that this community-engaged COVID-19 vaccine outreach clinic achieved its goals and was scalable. These findings support the value of community-engaged outreach to improve vaccine equity among other marginalized newcomer communities.

National strategy on the integration of sleep and circadian rhythms into public health research and policies: Report from the Canadian Sleep and Circadian Network.

Scientists in sleep and circadian rhythms, public health experts, healthcare providers, partners, and stakeholders convened in 2020 for a 2-day meeting organized by the Canadian Sleep and Circadian Network to develop a national strategy for integrating sleep and circadian rhythms into public health and policies in Canada. The objective of this paper is to present the national strategy that emerged from this meeting of 60 participants from across Canada. The meeting focused on 4 key target priorities: (1) atypical working schedules, (2) sleep and circadian rhythms of children and adolescents, (3) insomnia, and (4) impact of sleep apnea on health. Following constructive discussions, it was decided that the following 4 strategic objectives should be prioritized to accelerate the integration of sleep and circadian rhythms into public health policies in Canada: (1) increase public health sleep and circadian rhythm research, (2) increase public health education and knowledge mobilization on sleep, (3) inform and support public health sleep interventions and policies, and (4) promote sleep health training. Participants recommended that research and public health efforts address needs along the continuum of sleep health. The committee noted that strategies and interventions could differ across contexts, settings, sectors, and jurisdictions. The national strategy also identified high-priority research questions in public health and recommended mechanisms to build research capacity, providing a path forward for the integration of sleep and circadian rhythms into public health research and policies.

Perspectives on primary care management of obstructive sleep apnea: a qualitative study of patients and health care providers.

STUDY OBJECTIVES: Difficulties in providing timely access to care have prompted interest in primary care delivery models for obstructive sleep apnea (OSA). Sustainable implementation of such models requires codesign with input from key stakeholders. The purpose of this study was to identify patient and provider perspectives on barriers and facilitators to optimal, patient-centered management of OSA in a primary care setting. METHODS: This study was conducted in Alberta, Canada. Data from key stakeholders were collected through an online survey of primary care providers (n = 119), focus groups and interviews with patients living with OSA (n = 28), and workshops with primary care and sleep providers (n = 36). Quantitative survey data were reported using descriptive statistics, and qualitative data were analyzed using an inductive thematic approach. RESULTS: Several barriers were identified, including poor specialist access, variable primary care providers knowledge of OSA, and lack of clarity about provider roles for OSA management. Barriers contributed to patients being poorly informed about OSA, leading them to separate OSA from their overall health and eroding trust in the system. Suggestions for improvement included integration of care providers in a comprehensive model of care, facilitated by improved system navigation and more effective use of technology. Themes were consistent across data collection methods and between stakeholder groups. CONCLUSIONS: Although primary care delivery models may improve access to OSA management, stakeholders identified important challenges in the current system. Innovative models of care, developed with input from patients and providers, may mitigate barriers and support optimal primary care management of OSA.

A Review of Discharge-Prediction Processes in Acute Care Hospitals.

AIMS AND OBJECTIVES: Discharge prediction is designed to streamline inpatient flow and reduce hospital overcrowding without adding capacity. This study's objective was to describe the literature on discharge prediction and assess its usefulness in evaluating the implementation and outcomes of discharge prediction projects. METHODS: The authors reviewed the current peer-reviewed and grey literature on discharge prediction projects in acute care hospitals. Project descriptions were analyzed using Donabedian's structure-process-outcome model for evaluating complex healthcare innovations. RESULTS: The review revealed a paucity of literature on the use and effectiveness of discharge prediction. There is high variation in its use and generally poor reporting of both implementation and outcomes. CONCLUSIONS: The literature on discharge prediction generally lacks the descriptive detail that would be useful to parties considering or planning a discharge prediction initiative. Further study is required to determine how best to integrate these prediction tools into acute care hospitals.