Robotic Arthroplasty Clinical and cost Effectiveness Randomised controlled trial (RACER-knee): a study protocol.

INTRODUCTION: Robotic-assisted knee replacement systems have been introduced to healthcare services worldwide in an effort to improve clinical outcomes for people, although high-quality evidence that they are clinically, or cost-effective remains sparse. Robotic-arm systems may improve surgical accuracy and could contribute to reduced pain, improved function and lower overall cost of total knee replacement (TKR) surgery. However, TKR with conventional instruments may be just as effective and may be quicker and cheaper. There is a need for a robust evaluation of this technology, including cost-effectiveness analyses using both within-trial and modelling approaches. This trial will compare robotic-assisted against conventional TKR to provide high-quality evidence on whether robotic-assisted knee replacement is beneficial to patients and cost-effective for healthcare systems. METHODS AND ANALYSIS: The Robotic Arthroplasty Clinical and cost Effectiveness Randomised controlled trial-Knee is a multicentre, participant-assessor blinded, randomised controlled trial to evaluate the clinical and cost-effectiveness of robotic-assisted TKR compared with TKR using conventional instruments. A total of 332 participants will be randomised (1:1) to provide 90% power for a 12-point difference in the primary outcome measure; the Forgotten Joint Score at 12 months postrandomisation. Allocation concealment will be achieved using computer-based randomisation performed on the day of surgery and methods for blinding will include sham incisions for marker clusters and blinded operation notes. The primary analysis will adhere to the intention-to-treat principle. Results will be reported in line with the Consolidated Standards of Reporting Trials statement. A parallel study will collect data on the learning effects associated with robotic-arm systems. ETHICS AND DISSEMINATION: The trial has been approved by an ethics committee for patient participation (East Midlands-Nottingham 2 Research Ethics Committee, 29 July 2020. NRES number: 20/EM/0159). All results from the study will be disseminated using peer-reviewed publications, presentations at international conferences, lay summaries and social media as appropriate. TRIAL REGISTRATION NUMBER: ISRCTN27624068.

Health State Utility Data in Cystic Fibrosis: A Systematic Review.

INTRODUCTION: Cystic fibrosis (CF) is a life-limiting, hereditable condition, with the highest prevalence in Europe. CF treatments have led to improvements in clinical symptoms, disease management and decelerated disease progression. However, little is known about the health state utility (HSU) associated with CF disease states, adverse events, and changes in disease severity. Although HSU data have contributed to existing health economic modelling studies, a lack of such data have been highlighted. This systematic review aims to provide a summary of HSU-related research in CF and highlight related research gaps. METHODS: Online searches were performed in six databases and studies in any of the following categories were included: (1) estimation of HSUs in CF; (2) mapping studies between patient-reported outcome measures (PROMs) and HSUs; (3) economic evaluations on the management of CF that report primary HSU data; and (4) any CF clinical trial that reported HSU as an outcome. RESULTS: A total of 17 studies were reviewed, of which 12 provided HSU values for specific CF populations. The remaining five articles provided HSU data that were broken down by CF relevant health states, including lung transplantations, pulmonary exacerbation (PEx) events and forced expiratory volume in 1 s (FEV1). CONCLUSION: Current HSU data in CF are limited and there is considerable scope for further research, both in providing HSU values for CF and in investigating methods for HSU elicitation/evaluation in CF populations.

Health economic modelling in Cystic Fibrosis: A systematic review.

INTRODUCTION: Cystic Fibrosis (CF) is a heritable chronic condition. Due to the genetic and progressive nature of CF, a number of interventions are available for the condition. In the United Kingdom (U.K.) average annual cost of CF treatment is between €49,000 to €76,000 (2012) per patient [1]. A review of health economic modelling studies is warranted to provide decision makers and researchers with an in depth understanding of modelling practices in CF and guidance for future research. METHODS: Online searches were performed in the 5 databases, studies were included if they were: a) Model based economic evaluation for management of Cystic Fibrosis. Articles were restricted to English language only, but no restriction was applied on publication year. RESULTS: Nine studies were reviewed, most were Markov cohort models. Models evaluated pharmaceutical interventions and drug adherence. Modelling structure was consistent across most articles and a range of sources were used to populate the models. Cost and utility data were based on different sources and elicitation methods respectively. The majority of models failed to incorporate significant health events which impact both cost and disease progression. CONCLUSION: In our review we observed a lack of, application of European Medicines Agency (EMA) guidelines for clinical trial endpoints, model structure justifications and lastly, health-related quality of life derived utility information around important clinical events. Future work around conceptual modelling of CF progression, utility valuation of significant health events and meeting EMA guidelines for trial reporting is encouraged.