Can prediction models for hospital readmission be improved by incorporating patient-reported outcome measures? A systematic review and narrative synthesis.

PURPOSE: To investigate the roles, challenges, and implications of using patient-reported outcome measures (PROMs) in predicting the risk of hospital readmissions. METHODS: We systematically searched four bibliometric databases for peer-reviewed studies published in English between 1 January 2000 and 15 June 2023 and used validated PROMs to predict readmission risks for adult populations. Reported studies were analysed and narratively synthesised in accordance with the CHARMS and PRISMA guidelines. RESULTS: Of the 2858 abstracts reviewed, 23 studies met predefined eligibility criteria, representing diverse geographic regions and medical specialties. Among those, 19 identified the positive contributions of PROMs in predicting readmission risks. Seven studies utilised generic PROMs exclusively, eleven used generic and condition-specific PROMs, while 5 focussed solely on condition-specific PROMs. Logistic regression was the most used modelling approach, with 13 studies aiming at predicting 30-day all-cause readmission risks. The c-statistic, ranging from 0.54 to 0.84, was reported in 22/23 studies as a measure of model discrimination. Nine studies reported model calibration in addition to c-statistic. Thirteen studies detailed their approaches to dealing with missing data. CONCLUSION: Our study highlights the potential of PROMs to enhance predictive accuracy in readmission models, while acknowledging the diversity in data collection methods, readmission definitions, and model evaluation approaches. Recognizing that PROMs serve various purposes beyond readmission reduction, our study supports routine data collection and strategic integration of PROMs in healthcare practices to improve patient outcomes. To facilitate comparative analysis and broaden the use of PROMs in the prediction framework, it is imperative to consider the methodological aspects involved.

A scoping review of triage approaches for the referral of patients with suspected inflammatory arthritis, from primary to rheumatology care.

We aimed to (1) identify existing triage approaches for referral of patients with suspected inflammatory arthritis (IA) from primary care physicians (PCP) to rheumatologists, (2) describe their characteristics and methodologies for clinical use, and (3) report their level of validation for use in a publicly funded healthcare system. The comprehensive search strategy of multiple databases up to October 2023 identified relevant literature and focussed on approaches applied at the PCP-Rheumatologist referral stage. Primary, quantitative studies, reported in English were included. Triage approaches were grouped into patient conditions as defined by the authors of the reports, including IA, its subtypes and combinations. 13952 records were identified, 425 full text reviewed and 55 reports of 53 unique studies were included. Heterogeneity in disease nomenclature and study sample pretest probability was found. The number of published studies rapidly increased after 2012. Studies were mostly from Europe and North America, in IA and Axial Spondyloarthritis (AxSpa). We found tools ranging the continuum of development with those best performing, indicated by the area under the receiver operating curve (AUC) >0.8), requiring only patient-reported questions. There were AUCs for some tools reported from multiple studies, these were in the outstanding to excellent range for the Early IA Questionnaire (EIAQ) (0.88 to 0.92), acceptable for the Case Finding AxSpa (CaFaSpa) (0.70 to 0.75), and poor to outstanding for the Psoriasis Epidemiology Screening Tool (PEST) (0.61 to 0.91). Given the clinical urgency to improve rheumatology referrals and considering the good.

The Association of Rheumatologist Supply and Multidisciplinary Care With Timely Patient Access to Rheumatologists: Evidence From British Columbia, Canada.

OBJECTIVE: The objective was to understand how the expansion of rheumatology supply and the introduction of multidisciplinary care was associated with access to rheumatology services. METHODS: We accessed Population Data BC, a longitudinal database with de-identified individual-level health data on all residents of British Columbia, Canada, to analyze physician visits and prescribing from 2010-2011 to 2019-2020. We calculated access as the time from referral to first rheumatologist visit and, for people with rheumatoid arthritis (RA), time to first disease-modifying antirheumatic drug (DMARD). Associations between lag time, patient characteristics, and system variables were explored using quantile regression. RESULTS: Over the study period, there were 149,902 new rheumatologist visits, with 31% more visits in 2019-2020 than in 2010-2011. The proportion of first visits for patients with inflammatory arthritis increased from 28% to 51%. The median time from referral to first visit decreased by 22 days (35%) from 63 days (interquartile range 21-120 days) in 2010-2011. For people with RA, time from referral to DMARD decreased by 4 days (6%) to 62 days. Male sex, living in metropolitan areas, and having a rheumatologist who used a multidisciplinary care assessment code were associated with shorter times from referral to first DMARD. CONCLUSION: Access to rheumatology care improved, and the increased proportion of patients with IA in the first visits case-mix indicates that rheumatologist supply and incentives for multidisciplinary care may have improved referral patterns. However, time to DMARDs for people with RA remained long, and we found signals of unequal access for female patients and people living outside of metropolitan areas.

Quality of life of the Canadian population using the VR-12: population norms for health utility values, summary component scores and domain scores.

OBJECTIVES: To estimate Canadian population norms (health utility values, summary component scores and domain scores) for the VR-12. METHODS: English and French speaking Canadians aged 18 and older completed an online survey that included sociodemographic questions and standardized health status instruments, including the VR-12. Responses to the VR-12 were summarized as: (i) a health utility value; (ii) mental and physical component summary scores (MCS and PCS, respectively), and (iii) eight domain scores. Norms were calculated for the full sample and by gender, age group, and province/territory (univariate), and for several multivariate stratifications (e.g., age group and gender). Results were summarized using descriptive statistics, including number of respondents, mean and standard deviation (SD), median and percentiles (25th and 75th), and minimum and maximum. RESULTS: A total of 6761 people who clicked on the survey link completed the survey (83.4% completion rate), of whom 6741 (99.7%) were included in the analysis. The mean health utility score was 0.698 (SD = 0.216). Mean health utility scores tended to be higher in older age groups, ranging from 0.661 (SD = 0.214) in those aged 18-29 to 0.728 (SD = 0.310) in those aged 80+. Average MCS scores were higher in older age groups, while PCS scores were lower. Females consistently reported lower mean health utility values, summary component scores and domain scores compared with males. CONCLUSIONS: This is the first study to present Canadian norms for the VR-12. Health utility norms can serve as a valuable input for Canadian economic models, while summary component and domain norms can help interpret routinely-collected data.

The Complexity of Transferring Remote Monitoring and Virtual Care Technology Between Countries: Lessons From an International Workshop.

International deployment of remote monitoring and virtual care (RMVC) technologies would efficiently harness their positive impact on outcomes. Since Canada and the United Kingdom have similar populations, health care systems, and digital health landscapes, transferring digital health innovations between them should be relatively straightforward. Yet examples of successful attempts are scarce. In a workshop, we identified 6 differences that may complicate RMVC transfer between Canada and the United Kingdom and provided recommendations for addressing them. These key differences include (1) minority groups, (2) physical geography, (3) clinical pathways, (4) value propositions, (5) governmental priorities and support for digital innovation, and (6) regulatory pathways. We detail 4 broad recommendations to plan for sustainability, including the need to formally consider how highlighted country-specific recommendations may impact RMVC and contingency planning to overcome challenges; the need to map which pathways are available as an innovator to support cross-country transfer; the need to report on and apply learnings from regulatory barriers and facilitators so that everyone may benefit; and the need to explore existing guidance to successfully transfer digital health solutions while developing further guidance (eg, extending the nonadoption, abandonment, scale-up, spread, sustainability framework for cross-country transfer). Finally, we present an ecosystem readiness checklist. Considering these recommendations will contribute to successful international deployment and an increased positive impact of RMVC technologies. Future directions should consider characterizing additional complexities associated with global transfer.

What influences decisions to donate plasma? A rapid review of the literature.

BACKGROUND AND OBJECTIVES: Plasma has become an essential ingredient for various medical treatments. Many blood collection agencies rely on voluntary non-remunerated donation when collecting plasma, but at present many do not collect sufficient plasma to meet domestic demands. This rapid review sought to explore the factors that have been found to influence people's decisions to donate plasma to inform future research. METHODS: Searches were conducted in PubMed, PsycINFO, Social Sciences Citation Index and CINAHL for peer-reviewed journal articles that discussed plasma donation and the factors associated with donor behaviour. Pertinent information from included articles was extracted and arranged in themes. RESULTS: In total, 33 articles were included in this review. Three main themes were identified by the authors. The first focused on site-level factors related to blood collection agencies' engagement with plasma donors and their influence on plasma donation experiences. The second theme considered how individual characteristics and experiences influence willingness to donate plasma. The third theme examined social and cultural-level factors, such as how social networks and community shape perceptions and experiences with donation. CONCLUSION: Our findings suggest that the current understanding of plasma donation is focused mainly on converting whole blood donors and also centres on individual-level factors to donation. Further research must examine what factors attract non-whole blood donors to become plasma donors, focusing on broader social-level influences. This review will inform policies and interventions for blood collection agencies to increase plasma donors.

Understanding what patients and physicians need to improve their decision-making about antenatal corticosteroids in late preterm gestation: a qualitative framework analysis.

BACKGROUND: It is unclear whether the benefits of administration of antenatal corticosteroids in late preterm gestation outweigh its harms. We sought to understand whether patients and physicians need increased support to decide whether to administer antenatal corticosteroids in late preterm gestation, and their informational needs and preferences for decision-making roles related to this intervention; we also wanted to know if creation of a decision-support tool would be useful. METHODS: We conducted individual, semistructured interviews with pregnant people, obstetricians and pediatricians in Vancouver, Canada, in 2019. Using a qualitative framework analysis method, we coded, charted and interpreted interview transcripts into categories that formed an analytical framework. RESULTS: We included 20 pregnant participants, 10 obstetricians and 10 pediatricians. We organized codes into the following categories: informational needs to decide whether to administer antenatal corticosteroids; preferences for decision-making roles regarding this treatment; the need for support to make this treatment decision; and the preferred format and content of a decision-support tool. Pregnant participants wanted to be involved in decision-making about antenatal corticosteroids in late preterm gestation. They wanted information on the medication, respiratory distress, hypoglycemia, parent-neonate bonding and long-term neurodevelopment. There was variation in physician counselling practices, and in how patients and physicians perceived the balance of treatment harms and benefits. Responses suggested a decision-support tool may be useful. Participants desired clear descriptions of risk magnitude and uncertainty. INTERPRETATION: Pregnant people and physicians would likely benefit from increased support to consider the harms and benefits of antenatal corticosteroids in late preterm gestation. Creation of a decision-support tool may be useful.

Patient decision support interventions for candidates considering elective surgeries: a systematic review and meta-analysis.

BACKGROUND: The increase in elective surgeries and varied postoperative patient outcomes has boosted the use of patient decision support interventions (PDSIs). However, evidence on the effectiveness of PDSIs are not updated. This systematic review aims to summarize the effects of PDSIs for surgical candidates considering elective surgeries and to identify their moderators with an emphasis on the type of targeted surgery. DESIGN: Systematic review and meta-analysis. METHODS: We searched eight electronic databases for randomized controlled trials evaluating PDSIs among elective surgical candidates. We documented the effects on invasive treatment choice, decision-making-related outcomes, patient-reported outcomes, and healthcare resource use. The Cochrane Risk of Bias Tool version 2 and Grading of Recommendations, Assessment, Development, and Evaluations were adopted to rate the risk of bias of individual trials and certainty of evidence, respectively. STATA 16 software was used to conduct the meta-analysis. RESULTS: Fifty-eight trials comprising 14 981 adults from 11 countries were included. Overall, PDSIs had no effect on invasive treatment choice (risk ratio=0.97; 95% CI: 0.90, 1.04), consultation time (mean difference=0.04 min; 95% CI: -0.17, 0.24), or patient-reported outcomes, but had a beneficial effect on decisional conflict (Hedges' g =-0.29; 95% CI: -0.41, -0.16), disease and treatment knowledge (Hedges' g =0.32; 95% CI: 0.15, 0.49), decision-making preparedness (Hedges' g =0.22; 95% CI: 0.09, 0.34), and decision quality (risk ratio=1.98; 95% CI: 1.15, 3.39). Treatment choice varied with surgery type and self-guided PDSIs had a greater effect on disease and treatment knowledge enhancement than clinician-delivered PDSIs. CONCLUSIONS: This review has demonstrated that PDSIs targeting individuals considering elective surgeries had benefited their decision-making by reducing decisional conflict and increasing disease and treatment knowledge, decision-making preparedness, and decision quality. These findings may be used to guide the development and evaluation of new PDSIs for elective surgical care.

The Cascade of Care for Hepatitis C Treatment in Rwanda: A Retrospective Cohort Study of the 2017-2019 Mass Screening and Treatment Campaign.

Access to hepatitis C (HCV) testing and treatment is still limited globally. To address this, the Government of Rwanda launched a voluntary mass screening and treatment campaign in 2017. We studied the progression of patients through the cascade of HCV care during this campaign. We conducted a retrospective cohort study and included all patients screened at 46 hospitals between April 2017 and October 2019. We used hierarchical logistic regression to assess factors associated with HCV positivity, gaps in care, and treatment failure. A total of 860,801 people attended the mass screening during the study period. Some 5.7% tested positive for anti-HCV, and 2.9% were confirmed positive. Of those who were confirmed positive, 52% initiated treatment, and 72% of those initiated treatment, completed treatment and returned for assessment 12 weeks afterward. The cure rate was 88%. HCV positivity was associated with age, socio-economic status, sex, marital status, and HIV coinfection. Treatment failure was associated with cirrhosis, baseline viral load, and a family history of HCV. Our results suggest that future HCV screening and testing interventions in Rwanda and other similar settings should target high-risk groups. High dropout rates suggest that more effort should be put into patient follow-up to increase adherence to care.

Using a patient-centred composite endpoint in a secondary analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial.

BACKGROUND: Clinical trials commonly use multiple endpoints to measure the impact of an intervention. While this improves the comprehensiveness of outcomes, it can make trial results difficult to interpret. We examined the impact of integrating patient weights into a composite endpoint on the interpretation of Control of Hypertension in Pregnancy Study (CHIPS) Trial results. METHODS: Outcome weights were extracted from a previous patient preferences study in pregnancy hypertension (N = 183 women) which identified (i) seven outcomes most important to women (taking medication, severe hypertension, pre-eclampsia, blood transfusion, Caesarean, delivery < 34 weeks, and baby born smaller-than-expected) and (ii) three preference subgroups: (1) 'equal prioritizers', 62%; (2) 'early delivery avoiders', 23%; and (3) 'medication minimizers', 14%. Outcome weights from the preference subgroups were integrated with CHIPS data for the seven outcomes identified in the preference study. A weighted composite score was derived for each participant by multiplying the preference weight for each outcome by the binary outcome if it occurred. Analyses considered equal weights and those from the preference subgroups. The mean composite scores were compared between trial arms (t-tests). RESULTS: Composite scores were similar between trial arms with the use of equal weights or those of subgroup (1) (95% confidence intervals [CIs]: - 0.03, 0.02; p > 0.50 for each). 'Tight' control was superior when using subgroup (2) weights (95% CIs: 0.002, 0.07; p = 0.03), and 'less-tight' control was superior when using subgroup (3) weights (95% CIs: - 0.11, - 0.04; p < 0.01). CONCLUSIONS: Evidence-based recommendations for 'tight' control are consistent with most women's preferences, but for a sixth of women, 'less-tight' control is more preference consistent. Depending on patient preferences, a single trial may support different interventions. Future trials should specify component weights to improve interpretation. TRIAL REGISTRATION: ClinicalTrials.gov NCT01192412.

Uptake and Spending on Biosimilar Infliximab and Etanercept After New Start and Switching Policies in Canada: An Interrupted Time Series Analysis.

OBJECTIVE: Uptake of biosimilars has been suboptimal in North America. This study was undertaken to quantify the impact of various policy interventions (namely, new start and switching policies) on uptake and spending on biosimilar infliximab and etanercept in British Columbia (BC), Canada. METHODS: We used administrative claims data to identify BC residents ≥18 years of age with rheumatoid arthritis, ankylosing spondylitis, psoriatic arthritis, and/or plaque psoriasis who qualified for public drug coverage from January 2013 to November 2020. Using interrupted time series analysis, we studied the change in proportion spent on and prescriptions dispensed of biosimilar infliximab and etanercept out of the total amount per agent after new start and biosimilar switching policies were implemented. RESULTS: Our study included 208,984 individuals living with rheumatoid arthritis, ankylosing spondylitis, plaque psoriasis, and/or psoriatic arthritis, corresponding to 5,884 patients taking infliximab and etanercept. After the new start policy, we detected a small gradual increase in the proportion of dispensed biosimilar etanercept prescriptions of 0.65% per month (95% confidence interval [95% CI] 0.44, 0.85). The trend related to the proportion of total spending on biosimilar etanercept also increased (0.51% [95% CI 0.28, 0.73]). After the switching policy, there was a sustained increase in the proportion of dispensed biosimilar etanercept and infliximab prescriptions of 76.98% (95% CI 75.56, 78.41) and 58.43% (95% CI 52.11, 64.75), respectively. Similarly, there was a persistent increase in monthly spending on biosimilar etanercept and infliximab of 78.22% (95% CI 76.65, 79.79) and 71.23% (95% CI 66.82, 75.65), respectively. CONCLUSION: We found that mandatory switching policies were much more effective than new starting policies for increasing the use of biosimilar medications.

Preferences for COVID-19 Vaccination in People With Chronic Immune-Mediated Inflammatory Diseases.

OBJECTIVE: To understand how people with chronic immune-mediated inflammatory diseases (IMIDs) trade off the benefits and risks of coronavirus disease 2019 (COVID-19) vaccine options. METHODS: We conducted an online discrete-choice experiment in people with IMIDs to quantify the relative importance (RI) of attributes relevant to COVID-19 vaccination. Participants were recruited between May and August 2021 through patient groups and clinics in Canada, and completed 10 choices where they selected 1 of 2 hypothetical vaccine options or no vaccine. The RI of each attribute was estimated and heterogeneity was explored through latent class analysis. RESULTS: The survey was completed by 551 people (89% female, mean age 46 yrs) with a range of IMIDs (inflammatory bowel disease [48%], rheumatoid arthritis [38%], systemic lupus erythematosus [16%]). Most had received 1 (94%) or 2 (64%) COVID-19 vaccinations. Across the ranges of levels considered, vaccine effectiveness was most important (RI = 66%), followed by disease flare (21%), rare but serious risks (9%), and number/timing of injections (4%). Patients would accept a risk of disease flare requiring a treatment change of ≤ 8.8% for a vaccine with a small absolute increase in effectiveness (10%). Of the 3 latent classes, the group with the greatest aversion to disease flare were more likely to be male and have lower incomes, but this group still valued effectiveness higher than other attributes. CONCLUSION: Patients perceived the benefits of COVID-19 vaccination to outweigh rare serious risks and disease flare. This supports COVID-19 vaccine strategies that maximize effectiveness, while recognizing the heterogeneity in preferences that exists.

A Comparison of Ordered Categorical versus Discrete Choices within a Stated Preference Survey of Whole-Blood Donors.

HIGHLIGHTS: This article compares the relative preferences from stated preference (SP) questions requiring ordered categorical versus discrete choice responses. The approaches were contrasted for blood donation service characteristics that offer opportunities to donate blood.The estimates of relative preferences for alternative blood donation service characteristics were similar between the 2 forms of SP approach.This study illustrates how SP survey questions can be formulated to provide responses on an ordered categorical scale and to estimate marginal rates of substitution between different attributes, which can be compared with those derived from discrete choice experiment (DCE) choices.The article highlights the potential value of considering alternative choice framings rather than relying solely on DCEs.

Exploring perceptions of using preference elicitation methods to inform clinical trial design in rheumatology: A qualitative study and OMERACT collaboration.

BACKGROUND: Clinical trial design requires value judgements and understanding patient preferences may help inform these judgements, for example when prioritizing treatment candidates, designing complex interventions, selecting appropriate outcomes, determining clinically important thresholds, or weighting composite outcomes. Preference elicitation methods are quantitative approaches that can estimate patients' preferences to quantify the absolute or relative importance of outcomes or other attributes relevant to the decision context. We aimed to explore stakeholder perceptions of using preference elicitation methods to inform judgements when designing clinical trials in rheumatology. METHODS: We conducted 1-on-1 semi-structured interviews with patients with rheumatic diseases and rheumatology clinicians/researchers, recruited using purposive and snowball sampling. Participants were provided pre-interview materials, including a video and a document, to introduce the topic of preference elicitation methods and case examples of potential applications to clinical trials. Interviews were conducted via Zoom and were audio-recorded and transcribed. We used thematic analysis to analyze our data. RESULTS: We interviewed 17 patients and 9 clinicians/researchers, until data and inductive thematic saturation were achieved within each group. Themes were grouped into overall perceptions, barriers, and facilitators. Patients and clinicians/researchers generally agreed that preference elicitation studies can improve clinical trial design, but that many considerations are required around preference heterogeneity and feasibility. A key barrier identified was the additional resources and expertise required to measure and incorporate preferences effectively in trial design. Key facilitators included developing guidance on how to use preference elicitation to inform trial design, as well as the role of external decision-makers in developing such guidance, and the need to leverage the movement towards patient engagement in research to encourage including patient preferences when designing trials. CONCLUSION: Our findings allowed us to consider the potential applications of patient preferences in trial design according to stakeholders within rheumatology who are involved in the trial process. Future research should be conducted to develop comprehensive guidance on how to meaningfully include patient preferences when designing clinical trials in rheumatology. Doing so may have important downstream effects for shared decision-making, especially given the chronic nature of rheumatic diseases.

Impact of an online, individualised, patient reported outcome measures based patient decision aid on patient expectations, decisional regret, satisfaction, and health-related quality-of-life for patients considering total knee arthroplasty: Results from a randomised controlled trial.

RATIONALE: Total knee arthroplasty is a common surgical procedure but not appropriate for all patients with knee osteoarthritis. Patient decision aids (PtDAs) can promote shared decision making and enhance understanding and expectations of procedures among patients, resulting in better discussions between patients and healthcare providers about whether total knee arthroplasty is the most appropriate option. AIMS AND OBJECTIVES: Evaluate impact of an individualised PtDA for osteoarthritis patients considering total knee arthroplasty 1 year after baseline assessment. METHODS: Prospective, randomised controlled trial comparing an intervention arm (IA) and routine care arm (RCA). The IA included an online individualised patient reported outcome measures (PROMs) based PtDA and one-page summary report for the surgeon. We report secondary outcomes from the final assessment: patient expectations, decisional regret, patient satisfaction with outcomes of knee replacement, health-related quality-of-life (HRQOL) and depression. We report changes in HRQOL between baseline and final assessments, study arms, and surgical versus non-surgical patients. Descriptive statistics were used to describe participant characteristics and continuous variables. Dichotomous outcomes (expectations, decisional regret, satisfaction) were analyzed using logistic regression and continuous outcomes (HRQOL, depression) were modelled using linear regression. RESULTS: Overall, 140 participants completed all study assessments (IA: n = 69, RCA: n = 71); n = 108 underwent surgery (IA: n = 49, RCA: n = 59). Regardless of study arm, most participants reported expectations were met, minimal decisional regret, satisfaction with outcomes of knee replacement, and had improvements in HRQOL. While no significant differences in study outcomes were found between study arms, IA results were in the direction hypothesised in favour of the PtDA. CONCLUSIONS: Although we were not able to detect statistically significant benefits associated with implementing this PROMs-based PtDA, there was no apparent negative effect on these outcomes 1 year after baseline. We anticipate there may be benefit to implementing this PtDA earlier in the osteoarthritis care pathway where patients have more opportunities to manage their disease non-surgically.

Measuring the preferences of injectable opioid agonist treatment (iOAT) clients: Development of a person-centered scale (best-worst scaling).

BACKGROUND: Injectable opioid agonist treatment (iOAT) is effective for opioid use disorder (OUD), yet little is known about client preferences for accessing iOAT (e.g., with diacetylmorphine, hydromorphone, buprenorphine, fentanyl, etc.). Best-worst scaling (BWS) is a preference elicitation method from health economics that has never been applied to addiction care broadly, or iOAT specifically. We describe the stages of developing a BWS scale that assesses iOAT clients' treatment delivery preferences to inform program planning and maximize healthcare efficiency. METHODS: We underwent several steps to reveal the relevant attributes/levels and design the scale structure. An initial list of potential attributes and levels was established from a literature review and prior qualitative data. Then, we conducted semi-structured interviews and focus groups with clients (n=21) on their iOAT preferences to confirm the attributes and prioritize/include new ones. Next, we conducted semi-structured interviews and focus groups with iOAT experts and stakeholders to receive their input on the draft list of attributes and levels. A BWS profile case design was piloted with iOAT clients (n=18) from different sites during a think aloud interview. After several rounds of revisions, the final version was tested by iOAT clients (n=2) before the scale was launched. RESULTS: We developed a person-centered scale that assesses current and former iOAT clients' most and least wanted aspects of iOAT delivery. The final version yielded 7 unique attributes: choice of medication, choice of dose, convenience, location & space, scheduling & routines, staff & training, and types of services offered. CONCLUSION: This scale can help expand iOAT programs in a way that is person-centered, rapid, and affordable. The methodology is a guide for other regions with similar populations who aim to develop strong quantitative methodologies that prioritize client collaboration.

Patient-reported Differences in Obstructive Sleep Apnea Care between Jurisdictions with and without Government Funding for Continuous Positive Airway Pressure.

Rationale: Funding for obstructive sleep apnea (OSA) treatment may impact how patients access care, wait times, and costs of care. Objectives: The aim of this study was to compare differences in diagnosis and treatment of OSA between Canadian jurisdictions with and without public funding for continuous positive airway pressure (CPAP). Methods: We administered an anonymous internet survey to Canadian adults reporting a physician diagnosis of OSA. Responses were categorized on the basis of whether the respondent's province provided full or partial funding for CPAP therapy for all patients. We assessed wait times for diagnosis and treatment, patient-borne costs, and model of care delivery compared between jurisdictions with and without universal CPAP funding. Results: We received 600 responses representing all Canadian provinces and territories. The median (interquartile range) age was 59 (49-66) years; 57% were male, and 21% were from rural settings. Patients living in provinces without public CPAP funding (n = 419) were more likely to be diagnosed using home sleep apnea testing (69% vs. 20%; P = 0.00019). Wait times were similar after adjustment for demographics, disease characteristics, and model of care. Although patient-borne costs of care were similar between jurisdictions, patients from regions without CPAP funding reported that cost had a greater influence on the choice of therapy. Sleep specialists were more commonly involved in OSA care in regions with CPAP funding. There was no difference in the current use of therapy between jurisdictions with and without public funding. Conclusions: This survey study demonstrates that public funding for CPAP therapy impacts how Canadians access OSA care but is not associated with differences in wait times or costs. Future research is required to determine the impact of different funding models for OSA care on clinical outcomes.

Feasibility of Testing Client Preferences for Accessing Injectable Opioid Agonist Treatment (iOAT): A Pilot Study.

Purpose: Injectable opioid agonist treatment (iOAT) is an effective treatment for opioid use disorder (OUD). To our knowledge, no research has systematically studied client preferences for accessing iOAT. Incorporating preferences could help meet the heterogenous needs of clients and make addiction care more person-centred. This paper presents a pilot study of a best-worst scaling (BWS) preference elicitation survey that aimed to assess if the survey was feasible and accessible for our population and to test that the survey could gather sound data that would suit our planned analyses. Patients and Methods: Current and former iOAT clients (n = 18) completed a BWS survey supported by an interviewer using a think-aloud approach. The survey was administered on PowerPoint, and responses and contextual field notes were recorded manually. Think-aloud audio was recorded on Audacity. Results: Clients' feedback fell into five categories: framing of the task, accessibility, conceptualization of attributes and levels, formatting, and behaviour predicting questions. Survey repetitiveness was the most consistent feedback. The data simulation showed that 100 responses should provide an adequate sample size. Conclusion: This pilot demonstrates the type of analysis that can be done with BWS in our population, suggests that such analysis is feasible, and highlights the importance of the interviewer and participant working side-by-side throughout the task.

An online individualised patient decision aid improves the quality of decisions in patients considering total knee arthroplasty in routine care: A randomized controlled trial.

Objective: The objective of this study was to evaluate the effectiveness of an online patient decision aid with individualised potential outcomes of surgery, on the quality of decisions for knee replacement surgery in routine clinical care. Design: A pragmatic Randomized Controlled Trial (RCT) in patients considering total knee replacement at a high-volume orthopedic clinic. Patients were randomized at their routine online pre-surgical assessment to either complete a decision aid or not. At their consultation, those in the intervention arm had a surgeon report summarizing the decision aid results. The primary outcome was decision quality, defined as being knowledgeable and choosing the option that matched informed treatment preferences. Multivariate logistic and linear regression analysis was conducted to consider surgeon level clustering and baseline differences between study arms. Results: Of 163 patients randomized, 155 completed post-surgical surveys and were included in the analysis. The average patient was aged 65 years, obese and had moderate to severe osteoarthritis symptoms at baseline. Patients in the intervention arm had a higher odds of making a quality decision (Odds Ratio â€‹= â€‹2.08, 95% CI: 1.08 to 4.02), predominantly through increased knowledge. Conclusions: This study supports the benefit of a decision aid in combination with a surgeon report to significantly improve decision quality in routine care. While the independent contribution of tailoring the decision aid to patient baseline characteristics and including a surgeon report remains unclear, we demonstrated the feasibility of integrating the decision aid into an online pre-surgical assessment in routine clinical care.