Healthcare resource utilization and costs in stable patients with rheumatoid arthritis: Comparing nurse-led and rheumatologist-led models of care delivery.

OBJECTIVES: Having previously shown similar clinical outcomes, this study compared the healthcare resource utilization and direct costs in stable patients with RA followed in the nurse-led care (NLC) and rheumatologist-led care (RLC) models. METHODS: Previously collected clinical data were linked to data on practitioner claims, ambulatory care, and hospital discharges. Assessed resources included physician visits; emergency department (ED) visits; hospital admissions, and disease-modifying anti-rheumatic drugs (DMARDs). The mean per-patient resource utilization and cost (2020 Canadian dollars) over 1 year were compared between the groups using Wilcoxon rank-sum test. The mean per-patient cost of health services and total cost were also estimated using Generalized Linear Models (GLMs) accounting for the baseline differences between the groups. RESULTS: Overall, 244 patients were included. No differences in the number of visits to the ED or to general practice and internal medicine physicians and orthopedic surgeons were found. The NLC group had fewer hospitalizations than the RLC group (p-value=0.03). The mean cost of health services was not statistically different in NLC and RLC groups ($2275 vs. $3772, p-value=0.30). The RLC group included more patients on biologic DMARDs, contributing to a higher mean total cost than the NLC group ($9191 vs. $3056, p-value<0.01). The mean cost estimates with GLMs were consistent with the observed costs. CONCLUSIONS: A nurse-led model of care delivery for stable patients with RA was not associated with increases in healthcare resource utilization or cost as compared to RLC. NLC is one approach to meeting patient needs and better managing scarce healthcare resources.

Patient acceptable symptom state (PASS): thresholds for the EQ-5D-5L and Oxford hip and knee scores for patients with total hip and knee replacement.

PURPOSE: To define patient acceptable symptom state (PASS) cut-off values for the EQ-5D-5L and Oxford hip (OHS) and knee (OKS) scores 6 and 12 months after total hip (THR) or knee (TKR) replacement. To compare PASS cut-off values for the EQ-5D-5L scored using: (1) the Canadian value set, (2) the crosswalk value set, and (3) the equal weighted Level Sum Score (LSS). METHODS: We mailed questionnaires to consecutive patients following surgeon referral for primary THR or TKR and at 6 and 12 months post-surgery. Patient reported outcome measures (PROMs) were the EQ-5D-5L, the OHS, and OKS. We assessed PASS cut-off values for PROMs using percentile and ROC methods, with the Youden Index. RESULTS: Five hundred forty-two surgical patients (mean age, 64 years, 57% female, 49% THR) completed baseline and 12-month questionnaires. 89% of THR and 81% of TKR patients rated PASS as acceptable at 12 months. PASS cut-off values for THR for the EQ-5D-5L (Canadian) were 0.85 (percentile) and 0.84 (Youden) at 12 months. Cut-off values were similar for the LSS (0.85 and 0.85) and lower for the crosswalk value set (0.74 and 0.73), respectively. EQ-5D-5L cut-off values for TKR were Canadian, 0.77 (Percentile) and 0.78 (Youden), LSS, 0.75 and 0.80, and crosswalk, 0.67 and 0.74, respectively. Cut-off values 6 and 12 months post-surgery ranged from 38 to 39 for the OHS, and 28 to 36 for the OKS (range 0 worst to 48 best). CONCLUSION: PASS cut-off values for the EQ-5D-5L and Oxford scores varied, not only between methods and timing of assessment, but also by different EQ-5D-5L value sets, which vary between countries. Because of this variation, PASS cut-off values are not necessarily generalizable to other populations of TJR patients. We advise caution in interpreting PROMs when using EQ-5D-5L PASS cut-off values developed in different countries. A standardization of methods is needed before published cut-off values can be used with confidence in other populations.

Nurse-Led Care for Stable Patients with Rheumatoid Arthritis: Quality of Care in Routine Practice Compared to the Traditional Rheumatologist-Led Model.

INTRODUCTION: This pragmatic non-inferiority study assessed quality of care within a nurse-led care (NLC) model for stable patients with rheumatoid arthritis (RA) compared to the traditional rheumatologist-led care (RLC) model. METHODS: Data were collected through a chart review. Baseline demographic and clinical characteristics were compared using Chi-square test and t test. The primary outcome measure was the percentage of patients being in remission or low disease activity (R/LDA) with the Disease Activity Score (DAS-28) ≤ 3.2 at 1-year follow-up. Process measures included the percentages of patients with chart documentation of (1) comorbidity screening; (2) education on flare management, and (3) vaccinations screening. Outcomes were summarized using descriptive statistics. RESULTS: Each group included 124 patients. At baseline, demographic and clinical characteristics were comparable between the groups for most variables. Exceptions were the median (Q1, Q3) Health Assessment Questionnaire Disability Index scores [0 (0, 0.25) in NLC and 0.38 (0, 0.88) in RLC, p = 0.01], and treatment patterns with 3% of NLC and 38% of RLC patients receiving a biologic agent, p = 0.01. NLC was non-inferior to RLC with 97% of NLC and 92% of RLC patients being in R/LDA at 1-year follow-up. Patients in the NLC group had better documentation across all process measures. CONCLUSIONS: This study provided real-world evidence that the evaluated NLC model providing protocolized follow-up care for stable patients with RA is effective to address patients' needs for ongoing disease monitoring, chronic disease management, education, and support.

Optimizing red blood cell transfusion practices in the intensive care unit: a multi-phased health technology reassessment.

BACKGROUND: Health technology reassessment (HTR) is a process to manage existing health technologies to ensure ongoing optimal use. A model to guide HTR was developed; however, there is limited practical experience. This paper addresses this knowledge gap through the completion of a multi-phase HTR of red blood cell (RBC) transfusion practices in the intensive care unit (ICU). OBJECTIVE: The HTR consisted of three phases and here we report on the final phase: the development, implementation, and evaluation of behavior change interventions aimed at addressing inappropriate RBC transfusions in an ICU. METHODS: The interventions, comprised of group education and audit and feedback, were co-designed and implemented with clinical leaders. The intervention was evaluated through a controlled before-and-after pilot feasibility study. The primary outcome was the proportion of potentially inappropriate RBC transfusions (i.e., with a pre-transfusion hemoglobin of 70 g/L or more). RESULTS: There was marked variability in the monthly proportion of potentially inappropriate RBC transfusions. Relative to the pre-intervention phase, there was no significant difference in the proportion of potentially inappropriate RBC transfusions post-intervention. Lessons from this work include the importance of early and meaningful engagement of clinical leaders; tailoring the intervention modalities; and, efficient access to data through an electronic clinical information system. CONCLUSIONS: It was feasible to design, implement, and evaluate a tailored, multi-modal behavior change intervention in this small-scale pilot study. However, early evaluation of the intervention revealed no change in technology use leading to reflection on the important question of how the HTR model needs to be improved.

Patient expectations and satisfaction 6 and 12 months following total hip and knee replacement.

PURPOSE: To assess (1) patient expectations before total hip (THR) and knee (TKR) replacement; (2) which expectations are met and unmet 6 and 12 months post-surgery; (3) the role of unmet expectations in satisfaction. METHODS: Questionnaires were mailed to consecutive patients following surgeon referral for primary THR or TKR. Patients listed their own expectations and also completed the Hospital for Special Surgery (HSS) Expectation Survey. We used content analysis to group expectations into themes. At 6 and 12 months post-surgery, patients were given a copy of their own list of individual expectations and reassessed each one as met or unmet. We also assessed fulfilled HSS expectations and satisfaction with surgery. RESULTS: The sample of 556 patients (49% THR, 57% female) had a mean age of 64 years (SD10). The five most frequent expectation themes were pain relief, mobility, walking, physical activities, and daily activities. Of these, physical activities had the lowest percentage met 12 months post-surgery. 95% (THR) and 87% (TKR) were satisfied/very satisfied with their surgery 12 months post-surgery. Very satisfied patients had a significantly greater percentage of met expectations (96% THR; 92% TKR) than dissatisfied patients (42% THR; 12% TKR). Although most expectations listed by patients were included in the HSS surveys, some were not, particularly for TKR. From 6 to 12 months, there was a significant increase in patient satisfaction for self-care, daily activities, and met expectations for THR and pain relief, self-care, daily activities, and recreational activities for TKR. CONCLUSIONS: Expectations should be explicitly addressed before surgery, including a discussion of realistic expectations, particularly for physical activities.

Facilitators of and barriers to adopting a restrictive red blood cell transfusion practice: a population-based cross-sectional survey.

BACKGROUND: Despite recommendations for restrictive approaches to red blood cell transfusion in the intensive care unit (ICU), variation from best practices persists. The aim of this study was to explore potential facilitators of and barriers to practising a restrictive red blood cell transfusion strategy among intensive care physicians using the theoretical domains framework. METHODS: We conducted an online population-based cross-sectional survey of all intensive care physicians in 1 health care system (Alberta). Survey questions were based on 6 key theoretical domains of the theoretical domains framework: Knowledge, Social/professional roles and identity, Motivation and goals, Beliefs about consequences, Social influences and Beliefs about capabilities. The survey was administered between July 27 and Oct. 6, 2017. Descriptive statistics (demographic and Likert scale data) and conventional content analysis (open-ended responses) were conducted. RESULTS: Forty-two intensive care physicians completed the survey (estimated response rate 56%). The respondents identified knowledge of published evidence, use of guidelines, improved outcomes, physician autonomy, and perceived culture of acceptance and collegial support as facilitators of practising a restrictive transfusion strategy. Identified barriers included potential impact on and cost to other clinical goals, conflicting practices and beliefs of physicians in other clinical specialties, deficits in medical trainees' skills and knowledge, and attitudinal barriers related to denial. INTERPRETATION: Using the theoretical domains framework, we identified 9 key self-reported facilitators of and barriers to intensive care physicians' transfusion behaviour. Understanding these determinants will help inform development and implementation of interventions within ICUs to encourage optimal use of red blood cell transfusion practices for nonbleeding patients whose condition is stable.

A retrospective observational analysis of red blood cell transfusion practices in stable, non-bleeding adult patients admitted to nine medical-surgical intensive care units.

BACKGROUND: Red blood cell (RBC) transfusions are common procedures performed in the intensive care unit (ICU). However, conservative transfusion approaches have been recommended to avoid RBC transfusions that are not clinically necessary and to achieve optimal patient outcomes. The objective of this study was to examine the utilization and costs of RBC transfusions in medical-surgical ICUs and to compare this information against clinical guideline recommendations for best practice. METHODS: Retrospective observational analysis of RBC transfusions in stable, non-bleeding adult patients was examined in a geographically-defined, population-based cohort of nine integrated ICUs between April 1, 2014 and December 31, 2016. RBC transfusions associated with a pre-transfusion hemoglobin value of 70 g/L or more were examined through linear and logistic regression. The total costs of RBC transfusions, based on the RBC unit cost, were estimated. RESULTS: A total of 4632 RBC transfusions (2287 ICU admissions) were included. Pre-transfusion hemoglobin values were identified for 4487 transfusions. On average, 61% occurred at or above a hemoglobin value of 70 g/L (mean 73.4 ± 9.2 g/L). Factors associated with such transfusions included being male, age over 75, Sequential Organ Failure Assessment (SOFA) score greater or equal to 10, transfer from operating room, gastrointestinal bleeding, and trauma. A pre-transfusion hemoglobin value at or above 70 g/L was associated with increased odds of ICU mortality; there was no impact on overall hospital mortality. The total estimated cost of RBC transfusions was $2.99M Canadian dollars (CAD), with $1.82M CAD attributed to those with a hemoglobin value at or above 70 g/L. CONCLUSIONS: Over half of the examined RBC transfusions may not have aligned with recommended best practice; this suggests significant opportunity for improvement. The present findings are an essential step towards optimizing RBC transfusions in the ICU.

UNTANGLING, UNBUNDLING, AND MOVING FORWARD: FRAMING HEALTH TECHNOLOGY REASSESSMENT IN THE CHANGING CONCEPTUAL LANDSCAPE.

OBJECTIVES: Health technology reassessment (HTR) is a policy process to manage health technologies throughout their lifecycle and ensure their ongoing optimal use. However, within an ever-evolving field, HTR is only one of many concepts associated with the optimization of health technologies. There is limited understanding of how other concepts and processes might differ and/or be interrelated. This study aims to describe the concepts underlying the various technology optimization processes and to reconcile their relationships within the HTR process. METHODS: A synthesis of the literature on approaches to HTR was completed. An inductive synthesis approach was completed to catalogue common concepts and themes. Expert stakeholders were consulted to develop a schematic to diagrammatically depict the relationships among concepts and frame them within the HTR process. RESULTS: A practical schematic was developed. Common concepts and themes were organized under six major domains that address the following discussion questions: (i) what is the value of the existing technology?; (ii) what is the current utilization gap?; (iii) what are the available tools and resources?; (iv) what are the levers for change?; (v) what is the desired outcome?; and (vi) who are the foundational actors? CONCLUSIONS: Using these six questions to frame the issues faced by HTR will advance the common understanding of HTR, as well as improve implementation of HTR initiatives. These questions will clearly identify the process required to move forward within a complex healthcare system.

Comparing the validity and responsiveness of the EQ-5D-5L to the Oxford hip and knee scores and SF-12 in osteoarthritis patients 1 year following total joint replacement.

PURPOSE: (1) To assess responsiveness of the EQ-5D-5L compared to Oxford hip and knee scores and the SF-12 in osteoarthritis patients undergoing total hip (THR) or knee (TKR) replacement surgery; (2) to compare distribution and anchor-based methods of assessing responsiveness. METHODS: Questionnaires were mailed to consecutive patients following surgeon referral for primary THR or TKR and 1 year post-surgery. We assessed effect size (ES), standardized response mean (SRM), and standard error of measurement (SEM). Minimum important difference (MID) was the mean change in patients reporting somewhat better in hip or knee, health in general, and those who were satisfied with surgery (5-point scales). Responders were compared using MID versus 1 and 2SEM. RESULTS: The sample of 537 (50% TKR) was composed of 56% female with a mean age of 64 years (SD 10). EQ-5D-5L ES was 1.86 (THR) and 1.19 (TKR) compared to 3.00 and 2.05 for Oxford scores, respectively. MID for the EQ-5D-5L was 0.22 (THR) and 0.20 (TKR) for patients who rated their hip or knee as somewhat better. There was a wide variation in the MID and the percentage of responders, depending on the joint, method of assessment, and the outcome measure. The percent agreement of responder classification using 2SEM vs. MID ranged from 79.6 to 99.6% for the EQ-5D-5L and from 69.4 to 94.8% for the Oxford scores. CONCLUSIONS: Responsiveness of the EQ-5D-5L was acceptable in TKR and THR. Caution should be taken in interpreting responder to TJR based on only one method of assessment.

Single-entry models (SEMs) for scheduled services: Towards a roadmap for the implementation of recommended practices.

BACKGROUND: Long waiting times for elective services continue to be a challenging issue. Single-entry models (SEMs) are used to increase access to and flow through the healthcare system. This paper provides a roadmap for healthcare decision-makers, managers, physicians, and researchers to guide implementation and management of successful and sustainable SEMs. METHODS: The roadmap was informed by an inductive qualitative synthesis of the findings from a deliberative process (a symposium on SEMs, with clinicians, researchers, senior policy-makers, healthcare managers, and patient representatives) and focus groups with the symposium participants. RESULTS: SEMs are a promising strategy to improve the management of referrals and represent one approach to reduce waiting times. The SEMs roadmap outlines current knowledge about SEMs and critical success factors for SEMs' implementation and management. CONCLUSIONS: This SEM roadmap is intended to help clinicians, decision-makers, managers, and researchers interested in developing new or strengthening existing SEMs. We consider this roadmap to be a living document that will continue to evolve as we learn more about implementing and managing sustainable SEMs.

Achieving optimal technology use: A proposed model for health technology reassessment.

BACKGROUND: Healthcare providers, managers and policy-makers in many jurisdictions are focused on a common goal: optimizing value and quality of care provided to their citizens within a resource envelope. Health technology reassessment is a structured, evidence-based assessment of the clinical, social, ethical and economic effects of a technology currently used in the healthcare system to inform optimal use of that technology in comparison with its alternatives. There are, however, few practical experiences with health technology reassessment and, as such, a nascent theoretical and methodological base. Health technology reassessment is a key strategy to achieve optimal healthcare resource utilization, and establishing a model for health technology reassessment is a required methodological step. METHODS AND RESULTS: The purpose of this article is to answer three formative questions: (1) What is health technology reassessment? (2) When should a health technology reassessment be implemented? (3) What is the role of health technology reassessment in evidence-informed health policy? Finally, we propose a conceptual framework for health technology reassessment, which others can modify, adapt, or adopt in their own context. The model consists of three broad phases and six iterative stages: (1) identification, (2) prioritization, (3) evidence synthesis, (4) determine policy/practice recommendation, (5) policy/practice implementation and (6) monitoring and evaluation. Two foundational components (meaningful stakeholder engagement and ongoing knowledge exchange and utilization) are represented across all stages. CONCLUSION: This description of health technology reassessment and the proposed model can be used by healthcare policy-makers and researchers to advance the field of technology management, with the goal of achieving optimal use throughout a technology's lifecycle.

Development and psychometric testing of the clinical networks engagement tool.

BACKGROUND: Clinical networks are being used widely to facilitate large system transformation in healthcare, by engagement of stakeholders throughout the health system. However, there are no available instruments that measure engagement in these networks. METHODS: The study purpose was to develop and assess the measurement properties of a multiprofessional tool to measure engagement in clinical network initiatives. Based on components of the International Association of Public Participation Spectrum and expert panel review, we developed 40 items for testing. The draft instrument was distributed to 1,668 network stakeholders across different governance levels (leaders, members, support, frontline stakeholders) in 9 strategic clinical networks in Alberta (January to July 2014). With data from 424 completed surveys (25.4% response rate), descriptive statistics, exploratory and confirmatory factor analysis, Pearson correlations, linear regression, multivariate analysis, and Cronbach alpha were conducted to assess reliability and validity of the scores. RESULTS: Sixteen items were retained in the instrument. Exploratory factor analysis indicated a four-factor solution and accounted for 85.7% of the total variance in engagement with clinical network initiatives: global engagement, inform (provided with information), involve (worked together to address concerns), and empower (given final decision-making authority). All subscales demonstrated acceptable reliability (Cronbach alpha 0.87 to 0.99). Both the confirmatory factor analysis and regression analysis confirmed that inform, involve, and empower were all significant predictors of global engagement, with involve as the strongest predictor. Leaders had higher mean scores than frontline stakeholders, while members and support staff did not differ in mean scores. CONCLUSIONS: This study provided foundational evidence for the use of this tool for assessing engagement in clinical networks. Further work is necessary to evaluate engagement in broader network functions and activities; to assess barriers and facilitators of engagement; and, to elucidate how the maturity of networks and other factors influence engagement.

What is the influence of single-entry models on access to elective surgical procedures? A systematic review.

BACKGROUND: Single-entry models (SEMs) for the management of patients awaiting elective surgical services are designed to increase access and flow through the system of care. We assessed scope of use and influence of SEMs on access (waiting times/throughput) and patient-centredness (patient/provider acceptability). METHODS: Systematic review of articles published in 6 relevant electronic databases included studies from database inception to July 2016. Included studies needed to (1) report on the nature of the SEM; (2) specify elective service and (3) address at least 1 of 3 research questions related to (1) scope of use of SEMs; (2) influence on timeliness and access; (3) patient-centredness and acceptability. Article quality was assessed using a modified Downs and Black checklist. RESULTS: 11 studies from Canada, Australia and the UK were included with mostly weak observational design-2 simulations, 5 before-after, 2 descriptive and 2 cross-sectional studies. 9 studies showed a decrease in patient waiting times; 6 showed that more patients were meeting benchmark waiting times; and 5 demonstrated that waiting lists decreased using an SEM as compared with controls. Patient acceptability was examined in 6 studies, with high levels of satisfaction reported. Acceptability among general practitioners/surgeons was mixed, as reported in 1 study. Research varied widely in design, scope, reported outcomes and overall quality. CONCLUSIONS: This is the first review to assess the influence of SEMs on access to elective surgery for adults. This review demonstrates a potential ability for SEMs to improve timeliness and patient-centredness of elective services; however, the small number of low-quality studies available does not support firm conclusions about the effectiveness of SEMs to improve access. Further evaluation with higher quality designs and rigour is required.

La bioéthique, la réévaluation des technologies de la santé et la gestion.

La réévaluation des technologies de la santé (RTS), ce domaine émergent des services de santé et des recherches stratégiques, favorise la prise en charge optimale des technologies pendant toute leur vie utile. La RTS, qui est une évaluation structurée et fondée sur des données probantes des effets cliniques, économiques, sociaux et éthiques des technologies en place, permet de faire une utilisation optimale de ces technologies, d'en prévoir le retrait progressif et de mieux rentabiliser celles qui sont utilisées dans le milieu de la santé. Elle soulève des préoccupations éthiques chez les cliniciens qui prodiguent des soins directs aux patients, particulièrement lorsqu'elle vise un retrait progressif. Le présent article porte sur les considérations éthiques applicables aux cliniciens et à la RTS, selon une approche de la prise de décision bioéthique axée sur les principes.

Bioethics, health technology reassessment, and management.

Health Technology Reassessment (HTR) is an emerging area of health services and policy research that supports optimal management of technologies throughout their lifecycle. As a structured, evidence-based assessment of the clinical, economic, social, and ethical impacts of existing technologies, HTR is a means of achieving optimal use, managed exit, and better value for money from technologies used in healthcare. This has been documented as raising ethical concerns among clinicians who are providing direct patient care, particularly when managed exit may be the goal. This article discusses the ethical considerations relevant to clinicians and HTR, using a principles' approach to bioethical decision-making.

Characteristics of frequent users of the emergency department in the general adult population: A systematic review of international healthcare systems.

OBJECTIVES: The objectives of this study were to synthesize and compare population characteristics associated with frequent emergency department (ED) use within and across healthcare systems. METHODS: A systematic review of literature published between 1950 and 2015 was conducted. Healthcare systems of included studies were categorized using the Rothgang-Wendt typology. Demographic, clinical and health service utilization characteristics of frequent ED users in the general adult population were identified within each healthcare system. Pooled estimates, stratified by healthcare system, were calculated to compare the association of each characteristic with frequent, compared to non-frequent, emergency room use. RESULTS: Twenty moderate to high quality comparative cohort studies were included. Among these, five healthcare systems were identified: National Health Insurance; Private Healthcare; National Health Service; Social Health Insurance and Etatist Social Health Insurance. Many similar characteristics were observed: in most healthcare systems, frequent ED users were more likely to be older, female, and have a mental health diagnosis. Previous hospitalizations and high primary care use (>3 visits/year) were associated with future frequent ED use in the NHIS and NHS systems. CONCLUSIONS: Observed similarities suggest that frequent ED use may not differ from one healthcare system to the next. With increasing need to develop solutions for high ED utilization world-wide, targeted efforts must be made to bolster dissemination and uptake of effective interventions across healthcare contexts.

Reducing frequent visits to the emergency department: a systematic review of interventions.

OBJECTIVE: The objective of this study was to establish the effectiveness of interventions to reduce frequent emergency department (ED) use among a general adult high ED-use population. METHODS: Systematic review of the literature from 1950-January 2015. Studies were included if they: had a control group (controlled trials or comparative cohort studies), were set in an ED or acute care facility, and examined the impact of an intervention to reduce frequent ED use in a general adult population. Studies reporting non-original data or focused on a specific patient population were excluded. Study design, patient population, intervention, the frequency of ED visits, and costs of frequent ED use and/or interventions were extracted and narratively synthesized. RESULTS: Among 17 included articles, three intervention categories were identified: case management (n = 12), individualized care plans (n = 3), and information sharing (n = 2). Ten studies examining case management reported reductions in mean (-0.66 to -37) or median (-0.1 to -20) number of ED visits after 12-months; one study reported an increase in mean ED visits (+2.79); and one reported no change. Of these, 6 studies also reported reduced hospital costs. Only 1 study evaluating individualized care plans examined ED utilization and found no change in median ED visits post-intervention. Costs following individualized care plans were also only evaluated in 1 study, which reported savings in hospital costs of $742/patient. Evidence was mixed regarding information sharing: 1 study reported no change in mean ED visits and did not examine costs; whereas the other reported a decrease in mean ED visits (-16.9) and ED cost savings of $15,513/patient. CONCLUSIONS: The impact of all three frequent-user interventions was modest. Case management had the most rigorous evidence base, yielded moderate cost savings, but with variable reductions in ED use. Future studies evaluating non-traditional interventions, tailoring to patient subgroups or socio-cultural contexts, are warranted.

Reliability and validity of the EQ-5D-5L compared to the EQ-5D-3L in patients with osteoarthritis referred for hip and knee replacement.

PURPOSE: To assess the test-retest reliability of the EQ-5D-5L (5L) and compare the validity of the 5L and EQ-5D-3L (3L) in osteoarthritis patients referred to an orthopaedic surgeon for total joint replacement. METHODS: We mailed questionnaires to 306 consecutive patients following referral and a second questionnaire after 2 weeks to assess reliability. Questionnaires included the 5L, EQ-VAS, Short Form-12, Oxford hip and knee scores, pain VAS, and the 3L. We compared the ceiling effect, redistribution properties, convergent and discriminant validity, and discriminatory power of the 5L and 3L. RESULTS: We obtained 176 respondents (response rate 58 %), 60 % female, 64 % knee patients, mean age 65 years (SD 11), with no significant differences between responders versus non-responders. Intraclass correlation coefficients were 0.61-0.77 for the 5L dimensions and 0.87 for the 5L index. For the 3L, most patients used level 2 (some/moderate problems) for mobility (87 %), usual activities (78 %), and pain/discomfort (71 %). In comparison, 5L responses were spread out with only 52, 42, and 50 %, respectively, using the middle level. All convergent validity coefficients were stronger with the 5L (Spearman coefficients 0.51-0.75). Absolute informativity (Shannon's index) showed higher results for all dimensions of the 5L compared with the 3L (average difference 0.74). Relative informativity (Shannon's evenness index) showed an increase from the 3L to the 5L in mobility, usual activities, and pain/discomfort. CONCLUSIONS: The 5L provided stronger validity evidence than the 3L, especially for dimensions relevant to this patient population-mobility, usual activities, and pain/discomfort.

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

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