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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Canadian Rheumatology Association Living Guidelines for the Pharmacological Management of Rheumatoid Arthritis With Disease-Modifying Antirheumatic Drugs

OBJECTIVE

To provide the initial installment of a living guideline that will provide up-to-date guidance on the pharmacological management of patients with rheumatoid arthritis (RA) in Canada.

METHODS

The Canadian Rheumatology Association (CRA) formed a multidisciplinary panel composed of rheumatologists, researchers, methodologists, and patients. In this first installment of our living guideline, the panel developed a recommendation for the tapering of biologic and targeted synthetic disease-modifying antirheumatic drug (b/ts DMARD) therapy in patients in sustained remission using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach, including a health equity framework developed for the Canadian RA population. The recommendation was adapted from a living guideline of the Australia & New Zealand Musculoskeletal Clinical Trials Network.

RESULTS

In people with RA who are in sustained low disease activity or remission for at least 6 months, we suggest offering stepwise reduction in the dose of b/tsDMARD without discontinuation, in the context of a shared decision, provided patients are able to rapidly access rheumatology care and reestablish their medications if needed. In patients where rapid access to care or reestablishing access to medications is challenging, we conditionally recommend against tapering. A patient decision aid was developed to complement the recommendation.

CONCLUSION

This living guideline will provide contemporary RA management recommendations for Canadian practice. New recommendations will be added over time and updated, with the latest recommendation, evidence summaries, and Evidence to Decision summaries available through the CRA website (www.rheum.ca).

The impact of the Choosing Wisely Canada campaign on the simultaneous use of angiotensin-converting-enzyme inhibitors and angiotensin receptor blockers: interrupted time-series analysis

BACKGROUND

Choosing Wisely is a high-profile campaign seeking to reduce the use of low-value care. We investigated the impact of a Choosing Wisely Canada recommendation against using a combination of angiotensin-converting-enzyme (ACE) inhibitors and angiotensin receptor blockers (ARBs) for the management of hypertension, heart failure or diabetic nephropathy on population-level use of these medications in British Columbia, Canada.

METHODS

We identified all people (any age) who were continuously registered with BC's Medical Service Plan between 2010 and 2017 with the targeted conditions. Using prescription claims data and an interrupted time-series analysis, we estimated the number of people on combination therapy per month, the proportion of days covered (PDC) by combination therapy per month and proportion of all combination prescriptions started per month in the 2 years before and after the introduction of the recommendation on Oct. 29, 2014.

RESULTS

Of 1 104 593 people (mean age 65 yr, standard deviation 16 yr) in our study cohort, 4.6% were exposed to combination therapy, largely prescribed by family physicians (84%). The number of people on combination therapy and the PDC were declining before the recommendation, but the proportion of combination prescriptions started in the 2 years before the recommendation was increasing. After the recommendation, we observed no statistically significant changes in any outcome. The pre-existing downward trend of the monthly number of people decelerated (16.8, 95% confidence interval [CI] 14.0 to 19.5) and the proportion of prescriptions started increased (0.13%, 95% CI 0.08% to 0.18%).

INTERPRETATION

The Choosing Wisely Canada recommendation against using a combination of ACE inhibitors and ARBs was not associated with reduced combination therapy use in the targeted conditions. The observed pre-existing declines in this practice questions the process of selecting recommendations, and the optimal implementation and value of Choosing Wisely campaigns without other reinforcing interventions.

Estimation of a Canadian preference-based scoring algorithm for the Veterans RAND 12-Item Health Survey: a population survey using a discrete-choice experiment

BACKGROUND

The Veterans RAND 12-Item Health Survey (VR-12) is a generic patient-reported outcome measure derived from the widely used 36- and 12-item Short Form Health Surveys. We aimed to estimate a Canadian preference-based scoring algorithm for the VR-12, enabling the derivation of health utility values for generating quality-adjusted life years (QALYs).

METHODS

We conducted a discrete-choice experiment in a sample of the Canadian population in January and February 2019. Participants - recruited from a consumer research panel - completed an online survey, in English or French, that included 11 discrete-choice questions, each comprising 2 health profiles. We defined the health profiles using 8 VR-12 items and a duration attribute. Using conditional logit regressions, where each level of the respective VR-12 items was interacted with duration, we applied the coefficients to estimate health utility values interpretable on a scale of 0 (dead) to 1 (full health). Negative values reflect states considered worse than dead.

RESULTS

A total of 3380 individuals completed the survey. Of these, 1688 (49.9%) were females, and 3101 (91.7%) completed the English version of the survey. Across all models, "feel downhearted and blue all of the time" and "pain interferes with your normal work extremely" were associated with the largest decrements in health utility. Excluding the 685 respondents (20.3%) who provided inconsistent responses had a negligible effect on the results. The recommended model, weighted to match population demographics, had health utility values ranging from -0.589 to 1.000.

INTERPRETATION

Health utility values that reflect the preferences of the Canadian population can now be derived from responses to the VR-12. These values can be used to generate QALYs in future analyses.

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.

A comparison of three strategies to reduce the burden of osteoarthritis: A population-based microsimulation study

Objectives

The purpose of this study was to compare three strategies for reducing population health burden of osteoarthritis (OA): improved pharmacological treatment of OA-related pain, improved access to joint replacement surgery, and prevention of OA by reducing obesity and overweight.

Methods

We applied a validated computer microsimulation model of OA in Canada. The model simulated a Canadian-representative open population aged 20 years and older. Variables in the model included demographics, body mass index, OA diagnosis, OA treatment, mortality, and health-related quality of life. Model parameters were derived from analyses of national surveys, population-based administrative data, a hospital-based cohort study, and the literature. We compared 8 what-if intervention scenarios in terms of disability-adjusted life years (DALYs) relative to base-case, over a wide range of time horizons.

Results

Reductions in DALYs depended on the type of intervention, magnitude of the intervention, and the time horizon. Medical interventions (a targeted increase in the use of painkillers) tended to produce effects quickly and were, therefore, most effective over a short time horizon (a decade). Surgical interventions (increased access to joint replacement) were most effective over a medium time horizon (two decades or longer). Preventive interventions required a substantial change in BMI to generate a significant impact, but produced more reduction in DALYs than treatment strategies over a very long time horizon (several decades).

Conclusions

In this population-based modeling study we assessed the potential impact of three different burden reduction strategies in OA. Data generated by our model may help inform the implementation of strategies to reduce the burden of OA in Canada and elsewhere.

Co-production of randomized clinical trials with patients: a case study in autologous hematopoietic stem cell transplant for patients with scleroderma

BACKGROUND

Increasingly, it is argued that clinical trials struggle to recruit participants because they do not respond to key questions or study treatments that patients will be willing or able to use. This study explores how elicitation of patient-preferences can help designers of randomized controlled trials (RCTs) understand the impact of changing modifiable aspects of treatments or trial design on recruitment.

METHODS

Focus groups and a discrete choice experiment (DCE) survey were used to elicit preferences of people with scleroderma for autologous hematopoietic stem cell transplant (AHSCT) treatment interventions. Preferences for seven attributes of treatment (effectiveness, immediate and long-term risk, care team composition and experience, cost, travel distance) were estimated using a mixed-logit model and used to predict participation in RCTs.

RESULTS

Two hundred seventy-eight people with scleroderma answered the survey. All AHSCT treatment attributes significantly influenced preferences. Treatment effectiveness and risk of late complications contributed the most to participants' choices, but modifiable factors of distance to treatment center and cost also affected preferences. Predicted recruitment rates calibrated with participation in a recent trial (33%) and suggest offering a treatment closer to home, at lower patient cost, and with holistic, multidisciplinary care could increase participation to 51%.

CONCLUSIONS

Through a patient engaged approach to preference elicitation for different features of AHSCT treatment options, we were able to predict what drives the decisions of people with scleroderma to participate in RCTs. Knowledge regarding concerns and the trade-offs people are willing to make can inform clinical study design, improving recruitment rates and potential uptake of the treatment of interest.

Adaptation of a Shared Decision-Making Tool for Early Rheumatoid Arthritis Treatment Decisions with Indigenous Patients

Background

Patient decision aids (PtDAs) enable shared decision-making between patients and healthcare providers. Adaptations to PtDAs for use with populations facing inequities in healthcare can improve the relevancy of information presented, incorporate appropriate cultural context, and address health literacy concerns. Our objective was to adapt the Early RA (rheumatoid arthritis) PtDA for use with Canadian Indigenous patients.

Methods

The Early RA PtDA was modified through an iterative process using data obtained from semi-structured interviews of two sequential cohorts of Indigenous patients with RA. Interview data were analyzed using thematic analysis.

Results

Seven participants provided initial feedback on the existing PtDA. The modifications they suggested were made and shared with another nine participants to confirm acceptability and provide further feedback. The first cohort suggested revisions to clarify medical and cost coverage information, include Indigenous traditional healing practice options, simplify text, and include Indigenous images and colors aligned with Canadian Indigenous community representation. Additional revisions were suggested by the second cohort to increase the legibility of the text, insert more Indigenous imagery, address formulary coverage for non-status First Nations patients, and include information about lifestyle factors in managing RA.

Conclusion

Incorporating Indigenous-specific adaptations in the design of PtDAs may increase use and relevancy to support engagement in treatment decisions, thereby supporting health-equity oriented health service interventions. Indigenous patient-specific evidence and translation of key words into the end-users’ Indigenous languages should be included for implementation of the PtDA.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40271-021-00546-8.

Randomized Controlled Trial of a Decision Support Intervention About Cardiopulmonary Resuscitation for Hospitalized Patients Who Have a High Risk of Death

BACKGROUND

Many seriously ill hospitalized patients have cardiopulmonary resuscitation (CPR) as part of their care plan, but CPR is unlikely to achieve the goals of many seriously ill hospitalized patients.

OBJECTIVE

To determine if a multicomponent decision support intervention changes documented orders for CPR in the medical record, compared to usual care.

DESIGN

Open-label randomized controlled trial.

PATIENTS

Patients on internal medicine and neurology wards at two tertiary care teaching hospitals who had a 1-year mortality greater than 10% as predicted with a validated model and whose care plan included CPR, if needed.

INTERVENTION

Both the control and intervention groups received usual communication about CPR at the discretion of their care team. The intervention group participated in a values clarification exercise and watched a CPR video decision aid.

MAIN MEASURE

The primary outcome was the proportion of patients who had a no-CPR order at 14 days after enrollment.

KEY RESULTS

We recruited 200 patients between October 2017 and October 2018. Mean age was 77 years. There was no difference between the groups in no-CPR orders 14 days after enrollment (17/100 (17%) intervention vs 17/99 (17%) control, risk difference, - 0.2%) (95% confidence interval - 11 to 10%; p = 0.98). In addition, there were no differences between groups in decisional conflict summary score or satisfaction with decision-making. Patients in the intervention group had less conflict about understanding treatment options (decisional conflict knowledge subscale score mean (SD), 17.5 (26.5) intervention arm vs 40.4 (38.1) control; scale range 0-100 with lower scores reflecting less conflict).

CONCLUSIONS

Among seriously ill hospitalized patients who had CPR as part of their care plan, this decision support intervention did not increase the likelihood of no-CPR orders compared to usual care.

PRIMARY FUNDING SOURCE

Canadian Frailty Network, The Ottawa Hospital Academic Medical Organization.

Preliminary testing of a patient decision aid for patients with relapsing-remitting multiple sclerosis

Background

Multiple first-line disease modifying therapies (DMTs) are available for relapsing-remitting multiple sclerosis (RRMS), each with different characteristics. We developed an interactive patient decision aid (PtDA) to promote informed shared decision-making (SDM).

Objective

To test the preliminary effectiveness of the PtDA in participants with RRMS.

Methods

Knowledge, and decisional conflict were measured pre- and post- implementation of the PtDA, SDM after the consultation, and 6-month treatment patterns were observed. Differences in scores were analyzed using descriptive statistics and paired t-tests. Qualitative interviews with patients and neurologists were analyzed using thematic analysis.

Results

52 participants were recruited: most were female (81%), 40 years of age or younger (62%), and had experienced MS for less than 5 years (56%). After participants used the PtDA, there was a significant improvement in decisional conflict (change = 1.00; p < 0.001) and knowledge (change = 2.15, p < 0.001). Nearly all patients wanted SDM, and 25 (56%) reported this occurred in their consult. Qualitative results suggested the PtDA supported both patients and neurologists in making decisions.

Conclusion

This pilot study suggests that PtDA use helps RRMS patients and their clinician select a DMT. Future studies will assess the feasibility of implementation and the impact of the PtDA on timely DMT initiation and longer-term adherence.

Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model

Background

Up to 31% of patients with relapsing-remitting multiple sclerosis (RRMS) discontinue treatment with disease-modifying drug (DMD) within the first year, and of the patients who do continue, about 40% are nonadherent. Shared decision making may decrease nonadherence and discontinuation rates, but evidence in the context of RRMS is limited. Shared decision making may, however, come at additional costs. This study aimed to explore the potential cost-effectiveness of shared decision making for RRMS in comparison with usual care, from a (limited) societal perspective over a lifetime.

Methods

An exploratory economic evaluation was conducted by adapting a previously developed state transition model that evaluates the cost-effectiveness of a range of DMDs for RRMS in comparison with the best supportive care. Three potential effects of shared decision making were explored: 1) a change in the initial DMD chosen, 2) a decrease in the patient’s discontinuation in using the DMD, and 3) an increase in adherence to the DMD. One-way and probabilistic sensitivity analyses of a scenario that combined the 3 effects were conducted.

Results

Each effect separately and the 3 effects combined resulted in higher quality-adjusted life years (QALYs) and costs due to the increased utilization of DMD. A decrease in discontinuation of DMDs influenced the incremental cost-effectiveness ratio (ICER) most. The combined scenario resulted in an ICER of €17,875 per QALY gained. The ICER was sensitive to changes in several parameters.

Conclusion

This study suggests that shared decision making for DMDs could potentially be cost-effective, especially if shared decision making would help to decrease treatment discontinuation. Our results, however, may depend on the assumed effects on treatment choice, persistence, and adherence, which are actually largely unknown.

An economic valuation technique identified different inpatient care experience as priorities for older Canadians than a traditional approach

OBJECTIVES

To (1) estimate the relative value of older adults' healthcare experiences based on the Canadian Patient Experience Survey for Inpatient Care (CPES-IC) using an economic valuation technique, and (2) compare the results with those of a conventional key-driver analysis of healthcare experiences based on bivariate correlations.

STUDY DESIGN AND SETTING

An online survey of 1,074 Canadians aged 60 and older who had been hospitalized within five years. Participants completed the CPES-IC and a best-worst scaling (BWS) valuation task. BWS data were analyzed using a conditional logit model. These results were compared to a conventional key-driver analysis that estimates importance through Spearman's correlations between experiences and a global rating of overall experience.

RESULTS

The valuation approach found that the three experiences most valued by patients were: that staff seemed informed and up-to-date about their hospital care, doctors explained things in a way that they could understand, and that they got all the information they needed about their care and treatment. Three of the top five most valued experiences from the valuation approach were among the top five in the key driver analysis. However, there were noteworthy differences in rank order.

CONCLUSION

The results of the valuation exercise can inform local and/or system level quality improvement efforts by identifying priorities from an economic evaluation point of view, which are different than those based on a conventional key-driver analysis. Given the degree of uncertainty in estimates both the rank order and confidence intervals should be used to guide decision-making.

Patient preferences to value health outcomes in rheumatology clinical trials: Report from the OMERACT special interest group✰

OBJECTIVE

To inform a research plan for future studies by obtaining stakeholder input on the application of preference-based methods to clinical trial design.

METHODS

We conducted a virtual OMERACT session to encourage stakeholder engagement. We developed materials for the session to facilitate discussion based on identified case examples and feedback sessions.

RESULTS

Participants prioritized incorporating patient preferences in all aspects of trial design with an emphasis on outcome selection. Participants highlighted the need for careful consideration around preference heterogeneity and equity factors.

CONCLUSION

Including patient preferences in trial design was considered a priority requiring further exploration to develop comprehensive guidance.

Health care costs of rheumatoid arthritis: A longitudinal population study

Quantifying the contribution of rheumatoid arthritis to the acquisition of subsequent health care costs is an emerging focus of the rheumatologic community and payers of health care. Our objective was to determine the healthcare costs before and after diagnosis of rheumatoid arthritis (RA) from the public payer's perspective. The study design was a longitudinal observational administrative data-based cohort with RA cases from Ontario Canada (n = 104,933) and two control groups, matched 1:1 on year of cohort entry from 2001 to 2016. The first control group was matched on age, sex and calendar year of cohort entry (diagnosis year for those with RA); the second group added medical history to the match before RA diagnosis year. The main exposure was new onset RA. The secondary exposure was calendar year of RA diagnosis to compare attributable costs over the study observation window. Main outcomes were health care costs in 2015 Canadian dollars, overall and by cost category. We used attribution methods to classify costs into those associated with RA, those associated with comorbidities, and age/sex-related underlying costs. Health care costs associated with RA increased up to the year of diagnosis, where they reached $8,591: $4,142 in RA associated costs; $1,242 in RA comorbidity associated costs; and $3,207 in underlying costs. In the eighth-year post diagnosis, the RA costs declined to $2,567 while the RA comorbidity associated costs remained relatively constant at $1,142, and the underlying age/sex related cost increased to $4,426. RA patients had lower costs when diagnosed in later calendar years. Our results suggest a large proportion of disease related health care costs are a result of costs associated with RA comorbidities, which may appear many years before diagnosis.

"Walking into the unknown…" key challenges of pregnancy and early parenting with inflammatory arthritis: a systematic review and thematic synthesis of qualitative studies

Background

To conduct a systematic review and thematic synthesis of qualitative studies on the pregnancy and early parenting experiences of patients with inflammatory arthritis (IA).

Methods

We searched online databases for English-language, qualitative studies capturing the experiences of females with IA or their healthcare providers with pregnancy and/or early parenthood. We extracted findings from included studies and used thematic synthesis to develop descriptive and higher-order analytical themes.

Results

Of 20 included studies, our analysis identified 5 analytical themes among patients and 3 among providers. Patients’ reproductive desires, the impact of IA on their ability to experience pregnancy, and the availability of information to guide preparedness informed their pregnancy decisions. Patients’ IA management, pregnancy expectations, and access to support influenced their reproductive experiences. Patients’ experiences seeking information and care revealed substantial gaps in reproductive care provision to patients with IA. Reproductive uncertainty related to IA placed a heavy burden on patients’ emotional and psychological wellbeing. Reproductive care provision was influenced by providers’ perceived professional responsibility to address patients’ reproductive goals, fears of negative outcomes, and capacity to harness patient trust, incorporate reproductive care into rheumatology practice and facilitate multi-disciplinary care coordination.

Conclusions

Our review illuminated several barriers to experiencing pregnancy among patients with IA, particularly related to pregnancy planning support, availability of information, and care coordination among the patient’s healthcare team. To improve care, these barriers may be mitigated through the provision of relevant, practical, and consistent information as well as patient-centred multi-disciplinary approaches for managing pregnancy among patients with IA.

Development of an Implementation Strategy for Patient Decision Aids in Rheumatoid Arthritis Through Application of the Behavior Change Wheel

OBJECTIVE

Decision aids are being developed to support guideline-based rheumatology care in Canada. The study objective was to identify barriers to decision aid use in rheumatoid arthritis (RA) within a behavior change model to inform an implementation strategy.

METHODS

Perspectives from Canadian health care providers (HCPs) and patients living with RA were obtained on an early RA decision aid and on perceived facilitators and barriers to decision aid implementation. Data were collected through semistructured interviews, transcribed, and then analyzed by inductive thematic analysis. The lessons learned were then mapped to the behavior change wheel COM-B system (C = capability, O = opportunity, and M = motivation interact to influence B = behavior) to inform key elements of a national implementation strategy.

RESULTS

Fifteen HCPs and fifteen patients participated. The analysis resulted in five lessons learned: 1) paternalistic decision-making is a dominant practice in early RA, 2) patients need emotional support and access to educational tools to facilitate participation in shared decision-making (SDM), 3) there are many logistical barriers to decision aid implementation in current care models, 4) flexibility is necessary for successful implementation, and 5) HCPs have limited interest in further training opportunities about decision aids. Implementation recommendations included the following: 1) making the decision aids directly available to patients (O) and providing SDM education (C/M), 2) creating an SDM rheumatology curriculum (C/O/M), 3) using "decision coaches" or patient partners as peer support (C/O/M), 4) linking decision aids to "living" rheumatology guidelines (M), and 5) designing trials of patient decision aid/SDM interventions to evaluate patient-important outcomes (O/M).

CONCLUSION

A multifaceted strategy is suggested to improve uptake of decision aids.

Comparing the use of aggregate data and various methods of integrating individual patient data to network meta-analysis and its application to first-line ART

Background

The 2018 World Health Organization HIV guidelines were based on the results of a network meta-analysis (NMA) of published trials. This study employed individual patient-level data (IPD) and aggregate data (AgD) and meta-regression methods to assess the evidence supporting the WHO recommendations and whether they needed any refinements.

Methods

Access to IPD from three trials was granted through ClinicalStudyDataRequest.com (CSDR). Seven modelling approaches were applied and compared: 1) Unadjusted AgD network meta-analysis (NMA) – the original analysis; 2) AgD-NMA with meta-regression; 3) Two-stage IPD-AgD NMA; 4) Unadjusted one-stage IPD-AgD NMA; 5) One-stage IPD-AgD NMA with meta-regression (one-stage approach); 6) Two-stage IPD-AgD NMA with empirical-priors (empirical-priors approach); 7) Hierarchical meta-regression IPD-AgD NMA (HMR approach). The first two were the models used previously. Models were compared with respect to effect estimates, changes in the effect estimates, coefficient estimates, DIC and model fit, rankings and between-study heterogeneity.

Results

IPD were available for 2160 patients, representing 6.5% of the evidence base and 3 of 24 edges. The aspect of the model affected by the choice of modeling appeared to differ across outcomes. HMR consistently generated larger intervals, often with credible intervals (CrI) containing the null value. Discontinuations due to adverse events and viral suppression at 96 weeks were the only two outcomes for which the unadjusted AgD NMA would not be selected. For the first, the selected model shifted the principal comparison of interest from an odds ratio of 0.28 (95% CrI: 10.17, 0.44) to 0.37 (95% CrI: 0.23, 0.58). Throughout all outcomes, the regression estimates differed substantially between AgD and IPD methods, with the latter being more often larger in magnitude and statistically significant.

Conclusions

Overall, the use of IPD often impacted the coefficient estimates, but not sufficiently as to necessitate altering the final recommendations of the 2018 WHO Guidelines. Future work should examine the features of a network where adjustments will have an impact, such as how much IPD is required in a given size of network.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01254-5.

When does the use of individual patient data in network meta-analysis make a difference? A simulation study

BACKGROUND

The use of individual patient data (IPD) in network meta-analyses (NMA) is rapidly growing. This study aimed to determine, through simulations, the impact of select factors on the validity and precision of NMA estimates when combining IPD and aggregate data (AgD) relative to using AgD only.

METHODS

Three analysis strategies were compared via simulations: 1) AgD NMA without adjustments (AgD-NMA); 2) AgD NMA with meta-regression (AgD-NMA-MR); and 3) IPD-AgD NMA with meta-regression (IPD-NMA). We compared 108 parameter permutations: number of network nodes (3, 5 or 10); proportion of treatment comparisons informed by IPD (low, medium or high); equal size trials (2-armed with 200 patients per arm) or larger IPD trials (500 patients per arm); sparse or well-populated networks; and type of effect-modification (none, constant across treatment comparisons, or exchangeable). Data were generated over 200 simulations for each combination of parameters, each using linear regression with Normal distributions. To assess model performance and estimate validity, the mean squared error (MSE) and bias of treatment-effect and covariate estimates were collected. Standard errors (SE) and percentiles were used to compare estimate precision.

RESULTS

Overall, IPD-NMA performed best in terms of validity and precision. The median MSE was lower in the IPD-NMA in 88 of 108 scenarios (similar results otherwise). On average, the IPD-NMA median MSE was 0.54 times the median using AgD-NMA-MR. Similarly, the SEs of the IPD-NMA treatment-effect estimates were 1/5 the size of AgD-NMA-MR SEs. The magnitude of superior validity and precision of using IPD-NMA varied across scenarios and was associated with the amount of IPD. Using IPD in small or sparse networks consistently led to improved validity and precision; however, in large/dense networks IPD tended to have negligible impact if too few IPD were included. Similar results also apply to the meta-regression coefficient estimates.

CONCLUSIONS

Our simulation study suggests that the use of IPD in NMA will considerably improve the validity and precision of estimates of treatment effect and regression coefficients in the most NMA IPD data-scenarios. However, IPD may not add meaningful validity and precision to NMAs of large and dense treatment networks when negligible IPD are used.

Respondent Understanding in Discrete Choice Experiments: A Scoping Review

Introduction

Despite the recognised importance of participant understanding for valid and reliable discrete choice experiment (DCE) results, there has been limited assessment of whether, and how, people understand DCEs, and how ‘understanding’ is conceptualised in DCEs applied to a health context.

Objectives

Our aim was to identify how participant understanding is conceptualised in the DCE literature in a health context. Our research questions addressed how participant understanding is defined, measured, and used.

Methods

Searches were conducted (June 2019) in the MEDLINE, EMBASE, PsychINFO and Econlit databases, as well as hand searching. Search terms were based on previous DCE systematic reviews, with additional understanding keywords used in a proximity-based search strategy. Eligible studies were peer-reviewed journal articles in the field of health, related to DCE or best-worst scaling type 3 (BWS3) studies, and reporting some consideration or assessment of participant understanding. A descriptive analytical approach was used to chart relevant data from each study, including publication year, country, clinical area, subject group, sample size, study design, numbers of attributes, levels and choice sets, definition of understanding, how understanding was tested, results of the understanding tests, and how the information about understanding was used. Each study was categorised based on how understanding was conceptualised and used within the study.

Results

Of 306 potentially eligible articles identified, 31 were excluded based on titles and abstracts, and 200 were excluded on full-text review, resulting in 75 included studies. Three categories of study were identified: applied DCEs (n = 52), pretesting studies (n = 7) and studies of understanding (n = 16). Typically, understanding was defined in relation to either the choice context, such as attribute terminology, or the concept of choosing. Very few studies considered respondents’ engagement as a component of understanding. Understanding was measured primarily through qualitative pretesting, rationality or validity tests included in the survey, and participant self-report, however reporting and use of the results of these methods was inconsistent.

Conclusions

Those conducting or using health DCEs should carefully select, justify, and report the measurement and potential impact of participant understanding in their specific choice context. There remains scope for research into the different components of participant understanding, particularly related to engagement, the impact of participant understanding on DCE validity and reliability, the best measures of understanding, and methods to maximise participant understanding.

Electronic supplementary material

The online version of this article (10.1007/s40271-020-00467-y) contains supplementary material, which is available to authorized users.

Comorbidities Before and After the Diagnosis of Rheumatoid Arthritis: A Matched Longitudinal Study

OBJECTIVE

To determine the contribution of rheumatoid arthritis (RA) to conditions and medical events. A secondary objective is to quantify this association before and after the introduction of biologic medications.

METHODS

All data were collected as health administrative data in Ontario, Canada. Patients with RA (n = 136 678) matched 1:1 to a pool of possible controls without RA from 1995 to 2016. The study was a retrospective longitudinal observational administrative data-based cohort study with cases (RA) and controls (two non-RA comparator groups). The main exposure was new-onset RA identified by a validated diagnosis algorithm. The secondary exposure was the calendar year, which provided a natural experiment to compare years in which biologics were unavailable (pre-2001) to increasing utilization over time. The main outcomes were counts of 27 Johns Hopkins Expanded Diagnostic Cluster Comorbid Conditions. Outcomes were reported as counts and percentage differences between cases and matched controls.

RESULTS

Patients experienced increases in conditions and medical events up to 5 years before RA disease incidence-4.9 conditions per patient-year compared with 4.6 conditions per patient-year in matched controls. Comorbidities increased to 8.7 conditions per patient-year in the year of RA incidence but were lower in the years after diagnosis-6.9 conditions per patient-year at 5 years postdiagnosis.

CONCLUSION

This study reframes the clinical manifestations of RA with detailed data on the marginal contribution of RA to conditions and medical events. These results show that a large portion of disease burden is due to the indirect effects of RA.

Comparative efficacy, tolerability and safety of dolutegravir and efavirenz 400mg among antiretroviral therapies for first-line HIV treatment: A systematic literature review and network meta-analysis

BACKGROUND

To inform World Health Organization (WHO) global guidelines, we updated and expanded the evidence base to assess the comparative efficacy, tolerability, and safety of first-line antiretroviral therapy (ART) regimens.

METHODS

We searched Embase, Medline and CENTRAL on 28 February 2020 to update the systematic literature review of clinical trials comparing recommended first-line ART that informed previous WHO guidelines. Outcomes included viral suppression, change in CD4 cell counts, mortality, serious and overall adverse events (AEs), discontinuation, discontinuations due to AEs (DAEs); and new outcomes: drug-resistance, neuropsychiatric AEs, early viral suppression, weight gain and birth outcomes. Comparative effects were assessed through network meta-analyses and certainty in the evidence was assessed using the GRADE framework.

FINDINGS

We identified 156 publications pertaining to 68 trials for the primary population. Relative to efavirenz, dolutegravir had improved odds of viral suppression across all time points (odds ratio [OR]: 1·94; 95% credible interval [CrI]: 1·48-2·56 at 96 weeks); was protective of drug-resistance (OR: 0·13; 95%CrI: 0·04-0·48); and led to fewer discontinuations (OR: 0·58; 95%CrI: 0·48-0·70). Evidence supported dolutegravir use among TB-HIV co-infected persons and pregnant women. Adverse birth outcomes were observed in 33.2% of dolutegravir-managed pregnancies and 35.0% of efavirenz-managed pregnancies. Low-dose efavirenz had comparable efficacy and safety to standard-dose efavirenz, but led to fewer DAEs (OR: 0·70; 95%CrI: 0·50-0·92).

INTERPRETATION

The evidence supports choosing dolutegravir in combination with lamivudine/emtricitabine and tenofovir disoproxil fumarate as the preferred first-line regimen and low-dose efavirenz-based regimens as an alternative. Dolutegravir can be considered to be effective, safe and tolerable.

FUNDING

WHO.

Proceedings of the 2019 Canadian Inflammatory Myopathy Study Symposium: Clinical Trial Readiness in Myositis

The Canadian Inflammatory Myopathy Study (CIMS) is a multicenter prospective cohort recruiting in 8 centers across Canada. One of the aims of CIMS is to conduct and participate in clinical trials in autoimmune inflammatory myopathies (AIM). Conducting clinical trials in rare diseases such as AIM presents challenges. During this symposium, experts in the field presented different solutions to successfully conduct clinical trials in AIM, including the importance of collaboration and careful trial design, as well as training and mentoring of young investigators.

Implausible States: Prevalence of EQ-5D-5L States in the General Population and Its Effect on Health State Valuation

The EQ-5D is made up of health state dimensions and levels, in which some combinations seem less "plausible" than others. If "implausible" states are used in health state valuation exercises, then respondents may have difficulty imagining them, causing measurement error. There is currently no standard solution: some valuation studies exclude such states, whereas others leave them in. This study aims to address 2 gaps in the literature: 1) to propose an evidence-based set of the least prevalent two-way combinations of EQ-5D-5L dimension levels and 2) to quantify the impact of removing perceived implausible states from valuation designs. For the first aim, we use data from 2 waves of the English General Practitioner Patient Survey (n = 1,639,453). For the second aim, we remodel a secondary data set of a Discrete Choice Experiment (DCE) with duration that valued EQ-5D-5L and compare across models that drop observations involving different health states: 1) implausible states as defined in the literature, 2) the least prevalent states identified in stage 1, and 3) randomly select states, alongside 4) a model that does not drop any observations. The results indicate that two-way combinations previously thought to be implausible actually exist among the general population; there are other combinations that are rarer, and removing implausible states from an experimental design of a DCE with duration leads to value sets with potentially different characteristics depending on the criterion of implausible states. We advise against the routine removal of implausible states from health state valuation studies.

Designing Discrete Choice Experiments Using a Patient-Oriented Approach

Patient-oriented research is a process whereby patients or caregivers are included as research partners so that research focusses on topics that are priorities and lead to findings that translate into practice. Using a case study of preferences for stem cell transplant in scleroderma, we report on a patient-oriented research approach to developing a discrete choice experiment. Our patient-oriented research application followed the four guiding principles in Canada's Strategy for Patient-Oriented Research: inclusiveness, support, mutual respect and co-build. In this case study, patient partners were involved at different levels of engagement to match individual availability, skillset and roles in the team. They advised, to different degrees, on all aspects of the study from design to analyses. Using a patient-oriented research approach led to the inclusion of attributes that would likely have been excluded (e.g. support from a multidisciplinary team), and realistic framing of patient-relevant and sometimes sensitive attributes (e.g. mortality and cost). Meeting locations and times were adjusted to accommodate all-team circumstances. Institutional constraints on the reimbursement for patient partners influenced the timing and extent of involvement. We found that adopting a patient-oriented research approach to discrete choice experiment design injected unique knowledge and expertise into the team, improved the representativeness of the sample recruited, minimised researcher biases, and ensured appropriate attribute selection and descriptions. The patient-oriented research approach highlighted some constraints of discrete choice experiment designs and, while not a solution, might ensure the methodological trade-offs remain patient relevant. Institutional challenges must be addressed to progress patient-oriented health economics research.

Patient-provider communication about medication cost in rheumatoid arthritis

OBJECTIVE

To examine the perceived importance and frequency with which out-of-pocket medication costs are discussed between rheumatologists and patients with rheumatoid arthritis (RA) in Canada.

METHODS

A cross-sectional online survey was distributed to patients with RA and rheumatologists; both were asked to rate their perceived importance of discussing medication costs, and how often these discussions occurred. Predictors of (1) patients discussing costs with their rheumatologist and (2) the perceived importance of discussing medication cost for patients were explored.

RESULTS

Seventy-eight patients and 64 rheumatologists completed the survey; 68% patients and 75% of physicians rated the perceived importance of discussing medication costs as "quite" or "very important"; 22% of patients reported never talking about medication cost, but no physicians reported never discussing costs with patients. The only predictor of talking about cost among patients (at 10% level) was whether they perceived it as highly important (p = 0.058). Higher perceived importance of discussing out-of-pocket costs was associated with a more positive attitude to shared decision-making (p = 0.044).

CONCLUSION

Discussions about cost do not always happen, even with diseases with potentially high medication costs like RA. Cost was more likely to be discussed by patients who perceived it as "very important," suggesting the onus might be on patients to initiate these conversations. Without any significant predictors regarding what may make physicians more likely to think it was important to discuss medication costs, there is a need to reinforce recommendations that all physicians seek to discuss costs with all of their patients when suggesting medications. Key Points • There is a need for patients and physicians to discuss costs in the treatment decision-making process. Our findings suggest this does not always happen. • Among patients, medication cost was more likely to be discussed by those who perceived it as "very important" and higher perceived importance of discussing out-of-pocket costs was associated with a more positive attitude to shared decision-making. • Our results did not reveal any significant predictors regarding what may make physicians more likely to think it was important to discuss medication costs, suggesting that there is a need to reinforce recommendations that all physicians seek to discuss medication costs with all of their patients when suggesting medications.

Long-term effect of patient decision aids on use of joint replacement and health care costs

OBJECTIVE

Shared decision-making supported by patient decisions aids may improve care and reduce healthcare costs for persons considering total joint replacement. Observational studies and randomized controlled trials (RCTs) have evaluated the short-term impact of decision aids on uptake of surgery and costs, however the long-term effects are unclear. This analysis aimed to evaluate the effect of patient decision aids on 1) use of joint replacement up to 7-years of follow-up, and 2) osteoarthritis-related health system costs.

METHODS

324 participants in a Canadian RCT with 2-years follow-up who were randomized to either a decision aid (n = 161) or usual care (n = 163) had their trial and health administrative data linked. The proportion undergoing surgery up to 7-years were compared using cumulative incidence plots and competing risk regression. Mean per-patient costs were compared using two sample t-tests.

RESULTS

At 2-years, 119 of 161 (73.9%) patients in the decision aid arm and 129 of 163 (79.1%) patients in the usual care arm had surgery. Between two and 7-years, 17 additional patients in both the decision aid (of 42, 40.4%) and usual care (of 34, 50.0%) arms underwent surgery. At 7-years, patients exposed to decision aids had a similar likelihood of undergoing surgery (HR = 0.92, 95% CI:0.73 to 1.17, p = 0.49) and mean per-patient costs ($21,965 vs $23,681, incremental cost: -$1,717, 95% CI:-$5,631 to $2,198) compared to those in usual care.

CONCLUSIONS

This is the first study to assess the long-term impact of decision aids on use of joint replacement and healthcare costs. These results are not conclusive but can inform future trial design.

CLINICAL TRIAL REGISTRATION

The full trial protocol is available at ClinicalTrials.Gov (NCT00911638).

Patient Preferences and Decisional Needs When Choosing a Treatment Approach for Pregnancy Hypertension: A Stated Preference Study

The Hypertension Canada 2018 clinical guidance for pregnancy hypertension recommends antihypertensive therapy for raised blood pressure in pregnancy to a target diastolic blood pressure (BP) of 85 mm Hg (ie, "tight" control). Although evidence shows this approach reduces the incidence of severe maternal hypertension without increasing risk to the baby, we do not know how pregnant women feel about this approach, particularly as they are generally medication averse. An online survey assessed pregnant women's preferences for management of pregnancy hypertension and explored decisional needs. The survey included information provision and knowledge assessment, a preference elicitation task, and a decisional needs assessment. Survey responses were analysed descriptively, by latent class analysis to identify treatment priority subgroups, and by logistic regression to assess predictors of treatment preference. For the 183 pregnant respondents, 3 treatment priority subgroups were identified, with most respondents expressing equal prioritization of treatment outcomes and components (eg, taking medication). Participants who preferred tight control (49%) were more often white (odds ratio [OR]: 2.38; 95% confidence interval [CI]: 1.18-4.55), with a university education/professional qualification (OR 1.95; 95% CI: 1.02-3.7), and had greater knowledge about pregnancy hypertension and pregnancy complications (OR 1.37; 95% CI: 1.15-1.65). Participants reported diverse decisional needs, but most preferred to make final treatment decisions themselves (70%), with (48%) or without (22%) physician input. The diversity of priorities, preferences, and decisional needs for management of pregnancy hypertension identified in this study emphasises the importance of an individualized approach to treatment recommendations.

Patterns of Tumor Necrosis Factor Inhibitor (TNFi) Biosimilar Use Across United States Rheumatology Practices

OBJECTIVE

It is unclear if biosimilars of biologics for inflammatory arthritis are realizing their promise to increase competition and improve accessibility. This study evaluates biosimilar tumor necrosis factor inhibitor (TNFi) utilization across rheumatology practices in the United States and compares whether patients initiating biosimilars remain on these treatments at least as long as new initiators of bio-originators.

METHODS

We identified a cohort of patients initiating a TNFi biosimilar between January 2017 and September 2018 from an electronic health record registry containing data from 218 rheumatology practices and over 1 million rheumatology patients in the United States. We also identified a cohort of patients who initiated the bio-originator TNFi during the same period. We calculated the proportion of biosimilar prescriptions compared with other TNFi's and compared persistence on these therapies, adjusting for age, sex, diagnoses codes, and insurance type.

RESULTS

We identified 909 patients prescribed the biosimilar infliximab-dyyb, the only biosimilar prescribed, and 4413 patients with a new prescription for the bio-originator infliximab. Biosimilar patients tended to be older, have a diagnosis code for rheumatoid arthritis, and covered by Medicare insurance. Over the study period, biosimilar prescriptions reached a maximum of 3.5% of all TNFi prescriptions. Patients persisted on the biosimilar at least as long as the bio-originator infliximab (hazard ratio [HR] 0.83, P = 0.07).

CONCLUSION

The uptake of biosimilars in the United States remains low despite persistence on infliximab-dyyb being similar to the infliximab bio-originator. These results add to clinical studies that should provide greater confidence to patients and physicians regarding biosimilar use.

Using a Discrete-Choice Experiment in a Decision Aid to Nudge Patients Towards Value-Concordant Treatment Choices in Rheumatoid Arthritis: A Proof-of-Concept Study

PURPOSE

To evaluate, in a proof-of-concept study, a decision aid that incorporates hypothetical choices in the form of a discrete-choice experiment (DCE), to help patients with early rheumatoid arthritis (RA) understand their values and nudge them towards a value-centric decision between methotrexate and triple therapy (a combination of methotrexate, sulphasalazine and hydroxychloroquine).

PATIENTS AND METHODS

In the decision aid, patients completed a series of 6 DCE choice tasks. Based on the patient's pattern of responses, we calculated his/her probability of choosing each treatment, using data from a prior DCE. Following pilot testing, we conducted a cross-sectional study to determine the agreement between the predicted and final stated preference, as a measure of value concordance. Secondary outcomes including time to completion and usability were also evaluated.

RESULTS

Pilot testing was completed with 10 patients and adjustments were made. We then recruited 29 patients to complete the survey: median age 57, 55% female. The patients were all taking treatment and had well-controlled disease. The predicted treatment agreed with the final treatment chosen by the patient 21/29 times (72%), similar to the expected agreement from the mean of the predicted probabilities (68%). Triple therapy was the predicted treatment 24/29 times (83%) and chosen 20/29 (69%) times. Half of the patients (51%) agreed that completing the choice questions helped them to understand their preferences (38% neutral, 10% disagreed). The tool took an average of 15 minutes to complete, and median usability scores were 55 (system usability scale) indicating "OK" usability.

CONCLUSION

Using a DCE as a value-clarification task within a decision aid is feasible, with promising potential to help nudge patients towards a value-centric decision. Usability testing suggests further modifications are needed prior to implementation, perhaps by having the DCE exercises as an "add-on" to a simpler decision aid.

Patient-Reported Outcome Measures (PROMs) to Support Adherence to Falls Prevention Clinic Recommendations: A Qualitative Study

PURPOSE

We examined how patient-reported outcome measures (PROMs) support patients' adherence to fall prevention recommendations in a novel primary care setting - the Falls Prevention Clinic.

PATIENTS AND METHODS

Using a patient-oriented qualitative study design, we recruited patient partners to our study team to assist in developing focus group prompts. A trained facilitator conducted five semi-structured interviews with a total of 21 Falls Prevention Clinic participants. A trained facilitator prompted participants about: their views on the EuroQol 5 domain - 5 level (EQ-5D-5L) PROM, their preferences for PROM administration and feedback, the presentation of PROM questionnaire data, the use of comparative data and the EQ-5D-5L in improving adherence to recommendations, and other information they would need to improve adherence. Participants' responses were coded according to three stages of qualitative analysis: open, axial and selective coding using an iterative and comparative approach.

RESULTS

"Opportunity" and "Development" emerged as higher-level themes for the participants' perspectives on how the EQ-5D-5L may be helpful for their appointments. "Frequency" described how often the participants believed the EQ-5D-5L should be administered and feedback provided. "Challenges", "Benefits", "Patients' Understanding", "Relevance of Data", and "Usefulness of Data" provided insight on how PROMs data presentation was viewed by patients. "Performance", "Resources", "Knowledge", "Role in Behaviour Change" highlighted the participants' ideas for the role of the EQ-5D-5L and additional information in supporting their adherence to falls prevention recommendations. Participants emphasized that patients would value further support information to facilitate their adherence.

CONCLUSION

This patient-oriented qualitative study, among individuals at high risk of future falls, sheds light on the importance of timely, understandable feedback, integrated with other clinical feedback in supporting adherence.

Association of Patient, Prescriber, and Region With the Initiation of First Prescription of Biologic Disease-Modifying Antirheumatic Drug Among Older Patients With Rheumatoid Arthritis and Identical Health Insurance Coverage

IMPORTANCE

Prescribing the first biologic treatment for rheumatoid arthritis (RA) is an important decision for patients, their physicians, and payers, with considerable costs and clinical implications. Conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) have known effectiveness and safety profiles and are less expensive; therefore, determining the variables contributing to csDMARD treatment duration is an essential question for patients, physicians, and payers.

OBJECTIVES

To describe access to the first biologic DMARD prescription in a population of patients with RA and identical comprehensive health insurance coverage in Ontario, Canada, and to explore the associations of patient, prescriber, and geographic region with differences in time to first biologic prescription.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study of incident patients with RA used administrative data with surveillance and patient-level data collected at yearly intervals. A total of 17 672 patients were included in the study; they were residents of Ontario, Canada, had an incident RA diagnosis at age 67 or older between 2002 and 2015, and received at least 1 csDMARD. Data were analyzed in November 2017.

EXPOSURE

Patient variables were age, sex, disease duration, socioeconomic status, distance to care, and supply of care in the patient's area of residence. Prescriber covariates were year of graduation, specialty of practice, and supply of rheumatologic care in the patient's geographic region.

MAIN OUTCOMES AND MEASURES

Time from first csDMARD prescription to receipt of first biologic medication.

RESULTS

Of 17 672 patients, 11 598 (65.6%) were women, and the mean (SD) age was 75.2 (5.8) years. Characteristics associated with longer time to receipt of a biologic prescription were older age (HR for every 5-year increase, 0.66; 95% CI, 0.62-0.71; P < .001), male sex (HR, 0.76; 95% CI, 0.66-0.89; P < .001), and distance to the nearest rheumatologist (HR per 10-km increase, 0.99; 95% CI, 0.98-0.99; P < .001). Prescribers were primarily rheumatologists (151 of 214 [70.6%]) and primary care physicians (26 of 214 [12.1%]). After adjusting for the number of patients eligible to receive biologic DMARDs, rheumatologists' preferences (ie, yearly prescription rates) for using biologic DMARDs increased over time, from 1.7% in 2001 to 4.9% in 2015. After adjusting for calendar year and patient-, prescriber-, and region-level characteristics, substantial variation between prescribers in rates of prescribing a first biologic DMARD were found (65% variance).

CONCLUSIONS AND RELEVANCE

This study found variation in time to receipt of first biologic DMARD after prescription of first csDMARD in a population with RA after adjustment for individual-level patient, prescriber, and geographic area covariates, despite identical universal health insurance coverage.