Variation in UK fracture liaison service consultation conduct and content before and during the COVID pandemic: results from the iFraP-D UK survey.

We conducted a survey of FLSs' consultation conduct and content which identified marked variation in whether FLS HCPs discussed osteoporosis medicine with patients. A review of service pro formas showed more content related to 'investigating' and 'intervening' than to 'informing'. We propose an expanded FLS typology and model FLS pro forma. PURPOSE: To investigate the nature of direct patient contact in fracture liaison service (FLS) delivery, examine the use and content of pro formas to guide information eliciting and sharing in FLS consultations, and determine service changes which were implemented as a result of the COVID-19 pandemic. METHODS: An electronic survey of UK FLS healthcare practitioners (HCPs) was distributed through clinical networks, social media, and other professional networks. Participants were asked to upload service pro formas used to guide consultation content. Documentary analysis findings were mapped to UK FLS clinical standards. RESULTS: Forty-seven HCPs responded, providing data on 39 UK FLSs, over half of all 74 FLSs reporting to FLS-database. Results showed variation in which HCP made clinical decisions, whether medicines were discussed with patients or not, and in prescribing practice. Services were variably affected by COVID, with most reporting a move to more remote consulting. The documentary analysis of eight service pro formas showed that these contained more content related to 'investigating' and 'intervening', with fewer pro formas prompting the clinician to offer information and support (e.g., about coping with pain). Based on our findings we propose an expanded FLS typology and have developed a model FLS pro forma. CONCLUSION: There is marked variation in the delivery of services and content of consultations in UK FLSs including discussion about osteoporosis medications. Clinical standards for FLSs should clarify the roles of primary and secondary HCPs and the importance of holistic approaches to patient care.

Reducing Opioid Use for Chronic Pain With a Group-Based Intervention: A Randomized Clinical Trial.

Importance: Opioid use for chronic nonmalignant pain can be harmful. Objective: To test whether a multicomponent, group-based, self-management intervention reduced opioid use and improved pain-related disability compared with usual care. Design, Setting, and Participants: Multicentered, randomized clinical trial of 608 adults taking strong opioids (buprenorphine, dipipanone, morphine, diamorphine, fentanyl, hydromorphone, methadone, oxycodone, papaveretum, pentazocine, pethidine, tapentadol, and tramadol) to treat chronic nonmalignant pain. The study was conducted in 191 primary care centers in England between May 17, 2017, and January 30, 2019. Final follow-up occurred March 18, 2020. Intervention: Participants were randomized 1:1 to either usual care or 3-day-long group sessions that emphasized skill-based learning and education, supplemented by 1-on-1 support delivered by a nurse and lay person for 12 months. Main Outcomes and Measures: The 2 primary outcomes were Patient-Reported Outcomes Measurement Information System Pain Interference Short Form 8a (PROMIS-PI-SF-8a) score (T-score range, 40.7-77; 77 indicates worst pain interference; minimal clinically important difference, 3.5) and the proportion of participants who discontinued opioids at 12 months, measured by self-report. Results: Of 608 participants randomized (mean age, 61 years; 362 female [60%]; median daily morphine equivalent dose, 46 mg [IQR, 25 to 79]), 440 (72%) completed 12-month follow-up. There was no statistically significant difference in PROMIS-PI-SF-8a scores between the 2 groups at 12-month follow-up (-4.1 in the intervention and -3.17 in the usual care groups; between-group difference: mean difference, -0.52 [95% CI, -1.94 to 0.89]; P = .15). At 12 months, opioid discontinuation occurred in 65 of 225 participants (29%) in the intervention group and 15 of 208 participants (7%) in the usual care group (odds ratio, 5.55 [95% CI, 2.80 to 10.99]; absolute difference, 21.7% [95% CI, 14.8% to 28.6%]; P < .001). Serious adverse events occurred in 8% (25/305) of the participants in the intervention group and 5% (16/303) of the participants in the usual care group. The most common serious adverse events were gastrointestinal (2% in the intervention group and 0% in the usual care group) and locomotor/musculoskeletal (2% in the intervention group and 1% in the usual care group). Four people (1%) in the intervention group received additional medical care for possible or probable symptoms of opioid withdrawal (shortness of breath, hot flushes, fever and pain, small intestinal bleed, and an overdose suicide attempt). Conclusions and Relevance: In people with chronic pain due to nonmalignant causes, compared with usual care, a group-based educational intervention that included group and individual support and skill-based learning significantly reduced patient-reported use of opioids, but had no effect on perceived pain interference with daily life activities. Trial Registration: isrctn.org Identifier: ISRCTN49470934.

Synthesizing cross-design evidence and cross-format data using network meta-regression.

In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized clinical trials (RCT) or non-randomized studies (NRS) as individual participant data (IPD) or as aggregate data (AD). We present a suite of Bayesian NMA and network meta-regression (NMR) models allowing for cross-design and cross-format synthesis. The models integrate a three-level hierarchical model for synthesizing IPD and AD into four approaches. The four approaches account for differences in the design and risk of bias (RoB) in the RCT and NRS evidence. These four approaches variously ignoring differences in RoB, using NRS to construct penalized treatment effect priors and bias-adjustment models that control the contribution of information from high RoB studies in two different ways. We illustrate the methods in a network of three pharmacological interventions and placebo for patients with relapsing-remitting multiple sclerosis. The estimated relative treatment effects do not change much when we accounted for differences in design and RoB. Conducting network meta-regression showed that intervention efficacy decreases with increasing participant age. We also re-analysed a network of 431 RCT comparing 21 antidepressants, and we did not observe material changes in intervention efficacy when adjusting for studies' high RoB. We re-analysed both case studies accounting for different study RoB. In summary, the described suite of NMA/NMR models enables the inclusion of all relevant evidence while incorporating information on the within-study bias in both observational and experimental data and enabling estimation of individualized treatment effects through the inclusion of participant characteristics.

People's preferences for self-management support.

OBJECTIVE: To identify and assess the preferences of people with long-term health conditions toward generalizable characteristics of self-management support interventions, with the objective to inform the design of more person-centered support services. DATA SOURCES: Primary qualitative and quantitative data collected on a representative sample of individuals with at least one of the fifteen most prevalent long-term conditions in the UK. STUDY DESIGN: Targeted literature review followed by a series of one-to-one qualitative semistructured interviews and a large-scale discrete choice experiment. DATA COLLECTION: Digital recording of one-to-one qualitative interviews, one-to-one cognitive interviews, and a series of online quantitative surveys, including two best-worst scaling and one discrete choice experiment, with individuals with long-term conditions. PRINCIPAL FINDINGS: On average, patients preferred a self-management support intervention that (a) discusses the options available to the patient and make her choose, (b) is individual-based, (c) face to face (d) with doctor or nurse, (e) at the GP practice, (f) sessions shorter than 1 hour, and (g) occurring annually for two-third of the sample and monthly for the rest. We found heterogeneity in preferences via three latent classes, with class sizes of 41% (C1), 30% (C2), and 29% (C3). The individuals' gender [P < 0.05(C1), P < 0.01(C3)], age [P < 0.05(C1), P < 0.05(C2)], type of long-term condition [P < 0.05(C1), P < 0.01(C3)], and presence of comorbidity [P < 0.01(C1), P < 0.01(C3), P < 0.01(C3)] were able to characterize differences between these latent classes and help understand the heterogeneity of preferences toward the above mentioned features of self-management support interventions. These findings were then used to profile individuals into different preference groups, for each of whom the most desirable form of self-management support, one that was more likely to be adopted by the recipient, could be designed. CONCLUSIONS: We identified several factors that could be used to inform a more nuanced self-management support service design and provision that take into account the recipient's characteristics and preferences.

Protocol for an economic analysis of the randomised controlled trial of Improving the Well-being of people with Opioid Treated CHronic pain: I-WOTCH Study.

INTRODUCTION: Over the last two decades, the use of opioids for the treatment of chronic pain in England has steadily increased despite lack of evidence of both long-term effectiveness in pain relief and significant, well-documented physical and mental adverse events. Guidelines recommend tapering when harms outweigh benefits, but the addictive nature of opioids hinders simple dose-reduction strategies. Improving the Well-being of people with Opioid Treated CHronic pain (I-WOTCH) trial tests a multicomponent self-management intervention aimed to help patients with chronic non-malignant pain taper opioid doses. This paper outlines the methods to be used for the economic analysis of the I-WOTCH intervention compared with the best usual care. METHODS AND ANALYSIS: Economic evaluation alongside the I-WOTCH study, prospectively designed to identify, measure and value key healthcare resource use and outcomes arising from the treatment strategies being compared. A within-trial cost-consequences analysis and a model-based long-term cost-effectiveness analysis will be conducted from the National Health Service and Personal Social Service perspective in England. The former will quantify key parameters to populate a Markov model designed to estimate the long-term cost and quality-adjusted life years of the I-WOTCH intervention against best usual care. Regression equations will be used to estimate parameters such as transition probabilities, utilities, and costs associated with the model's states and events. Probabilistic sensitivity analysis will be used to assess the impact of parameter uncertainty onto the predicted costs and health outcomes, and the resulting value for money assessment of the I-WOTCH intervention. ETHICS AND DISSEMINATION: Full ethics approval was granted by Yorkshire & The Humber-South Yorkshire Research Ethics Committee on 13 September 2016 (16/YH/0325). Current protocol: V.1.7, date 31 July 2019. Findings will be disseminated in peer-reviewed journals, scientific conferences, newsletters and websites. TRIAL REGISTRATION NUMBER: International Standard Randomised Controlled Trial Number (49 470 934); Pre-result.