The feasibility of a randomised controlled trial of physiotherapy for adults with joint hypermobility syndrome

© Queen’s Printer and Controller of HMSO 2016. Background: Joint hypermobility syndrome (JHS) is a heritable disorder associated with laxity and pain in multiple joints. Physiotherapy is the mainstay of treatment, but there is little research investigating its clinical effectiveness. Objectives: To develop a comprehensive physiotherapy intervention for adults with JHS; to pilot the intervention; and to conduct a pilot randomised controlled trial (RCT) to determine the feasibility of conducting a future definitive RCT. Design: Patients’ and health professionals’ perspectives on physiotherapy for JHS were explored in focus groups (stage 1). A working group of patient research partners, clinicians and researchers used this information to develop the physiotherapy intervention. This was piloted and refined on the basis of patients’ and physiotherapists’ feedback (stage 2). A parallel two-arm pilot RCT compared ‘advice’ with ‘advice and physiotherapy’ (stage 3). Random allocation was via an automated randomisation service, devised specifically for the study. Owing to the nature of the interventions, it was not possible to blind clinicians or patients to treatment allocation. Setting: Stage 1 – focus groups were conducted in four UK locations. Stages 2 and 3 – piloting of the intervention and the pilot RCT were conducted in two UK secondary care NHS trusts. Participants: Stage 1 – patient focus group participants (n = 25, three men) were aged > 18 years, had a JHS diagnosis and had received physiotherapy within the preceding 12 months. The health professional focus group participants (n = 16, three men; 14 physiotherapists, two podiatrists) had experience of managing JHS. Stage 2 – patient participants (n = 8) were aged > 18 years, had a JHS diagnosis and no other musculoskeletal conditions causing pain. Stage 3 – patient participants for the pilot RCT (n = 29) were as for stage 2 but the lower age limit was 16 years. Intervention: For the pilot RCT (stage 3) the advice intervention was a one-off session, supplemented by advice booklets. All participants could ask questions specific to their circumstances and receive tailored advice. Participants were randomly allocated to ‘advice’ (no further advice or physiotherapy) or ‘advice and physiotherapy’ (an additional six 30-minute sessions over 4 months). The physiotherapy intervention was supported by a patient handbook and was delivered on a one-to-one patient–therapist basis. It aimed to increase patients’ physical activity through developing knowledge, understanding and skills to better manage their condition. Main outcome measures: Data from patient and health professional focus groups formed the main outcome from stage 1. Patient and physiotherapist interview data also formed a major component of stages 2 and 3. The primary outcome in stage 3 related to the feasibility of a future definitive RCT [number of referrals, recruitment and retention rates, and an estimate of the value of information (VOI) of a future RCT]. Secondary outcomes included clinical measures (physical function, pain, global status, self-reported joint count, quality of life, exercise self-efficacy and adverse events) and resource use (to estimate cost-effectiveness). Outcomes were recorded at baseline, 4 months and 7 months. Results: Stage 1 – JHS is complex and unpredictable. Physiotherapists should take a long-term holistic approach rather than treating acutely painful joints in isolation. Stage 2 – a user-informed physiotherapy intervention was developed and evaluated positively. Stage 3 – recruitment to the pilot RCT was challenging, primarily because of a perceived lack of equipoise between advice and physiotherapy. The qualitative evaluation provided very clear guidance to inform a future RCT, including enhancement of the advice intervention. Some patients reported that the advice intervention was useful and the physiotherapy intervention was again evaluated very positively. The rate of return of questionnaires was low in the advice group but reasonable in the physiotherapy group. The physiotherapy intervention showed evidence of promise in terms of primary and secondary clinical outcomes. The advice arm experienced more adverse events. The VOI analysis indicated the potential for high value from a future RCT. Such a trial should form the basis of future research efforts. Conclusion: A future definitive RCT of physiotherapy for JHS seems feasible, although the advice intervention should be made more robust to address perceived equipoise and subsequent attrition. Trial registration: Current Controlled Trials ISRCTN29874209. Funding: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 20, No. 47. See the NIHR Journals Library website for further project information

Developing new ways of measuring the quality and impact of ambulance service care: the PhOEBE mixed-methods research programme

Background Ambulance service quality measures have focused on response times and a small number of emergency conditions, such as cardiac arrest. These quality measures do not reflect the care for the wide range of problems that ambulance services respond to and the Prehospital Outcomes for Evidence Based Evaluation (PhOEBE) programme sought to address this. Objectives The aim was to develop new ways of measuring the impact of ambulance service care by reviewing and synthesising literature on prehospital ambulance outcome measures and using consensus methods to identify measures for further development; creating a data set linking routinely collected ambulance service, hospital and mortality data; and using the linked data to explore the development of case-mix adjustment models to assess differences or changes in processes and outcomes resulting from ambulance service care. Design A mixed-methods study using a systematic review and synthesis of performance and outcome measures reported in policy and research literature; qualitative interviews with ambulance service users; a three-stage consensus process to identify candidate indicators; the creation of a data set linking ambulance, hospital and mortality data; and statistical modelling of the linked data set to produce novel case-mix adjustment measures of ambulance service quality. Setting East Midlands and Yorkshire, England. Participants Ambulance services, patients, public, emergency care clinical academics, commissioners and policy-makers between 2011 and 2015. Interventions None. Main outcome measures Ambulance performance and quality measures. Data sources Ambulance call-and-dispatch and electronic patient report forms, Hospital Episode Statistics, accident and emergency and inpatient data, and Office for National Statistics mortality data. Results Seventy-two candidate measures were generated from systematic reviews in four categories: (1) ambulance service operations (n = 14), (2) clinical management of patients (n = 20), (3) impact of care on patients (n = 9) and (4) time measures (n = 29). The most common operations measures were call triage accuracy; clinical management was adherence to care protocols, and for patient outcome it was survival measures. Excluding time measures, nine measures were highly prioritised by participants taking part in the consensus event, including measures relating to pain, patient experience, accuracy of dispatch decisions and patient safety. Twenty experts participated in two Delphi rounds to refine and prioritise measures and 20 measures scored ≥ 8/9 points, which indicated good consensus. Eighteen patient and public representatives attending a consensus workshop identified six measures as important: time to definitive care, response time, reduction in pain score, calls correctly prioritised to appropriate levels of response, proportion of patients with a specific condition who are treated in accordance with established guidelines, and survival to hospital discharge for treatable emergency conditions. From this we developed six new potential indicators using the linked data set, of which five were constructed using case-mix-adjusted predictive models: (1) mean change in pain score; (2) proportion of serious emergency conditions correctly identified at the time of the 999 call; (3) response time (unadjusted); (4) proportion of decisions to leave a patient at scene that were potentially inappropriate; (5) proportion of patients transported to the emergency department by 999 emergency ambulance who did not require treatment or investigation(s); and (6) proportion of ambulance patients with a serious emergency condition who survive to admission, and to 7 days post admission. Two indicators (pain score and response times) did not need case-mix adjustment. Among the four adjusted indicators, we found that accuracy of call triage was 61%, rate of potentially inappropriate decisions to leave at home was 5–10%, unnecessary transport to hospital was 1.7–19.2% and survival to hospital admission was 89.5–96.4% depending on Clinical Commissioning Group area. We were unable to complete a fourth objective to test the indicators in use because of delays in obtaining data. An economic analysis using indicators (4) and (5) showed that incorrect decisions resulted in higher costs. Limitations Creation of a linked data set was complex and time-consuming and data quality was variable. Construction of the indicators was also complex and revealed the effects of other services on outcome, which limits comparisons between services. Conclusions We identified and prioritised, through consensus processes, a set of potential ambulance service quality measures that reflected preferences of services and users. Together, these encompass a broad range of domains relevant to the population using the emergency ambulance service. The quality measures can be used to compare ambulance services or regions or measure performance over time if there are improvements in mechanisms for linking data across services. Future work The new measures can be used to assess different dimensions of ambulance service delivery but current data challenges prohibit routine use. There are opportunities to improve data linkage processes and to further develop, validate and simplify these measures. Funding The National Institute for Health Research Programme Grants for Applied Research programme

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The Head Injury Transportation Straight to Neurosurgery (HITS-NS) randomised trial: a feasibility study

Background: Reconfiguration of trauma services, with direct transport of traumatic brain injury (TBI) patients to neuroscience centres (NCs), bypassing non-specialist acute hospitals (NSAHs), could potentially improve outcomes. However, delays in stabilisation of airway, breathing and circulation (ABC) and the difficulties in reliably identifying TBI at scene may make this practice deleterious compared with selective secondary transfer from nearest NSAH to NC. National Institute for Health and Care Excellence guidance and systematic reviews suggested equipoise and poor-quality evidence – with regard to ‘early neurosurgery’ in this cohort – which we sought to address. Methods: Pilot cluster randomised controlled trial of bypass to NC conducted in two ambulance services with the ambulance station (n = 74) as unit of cluster [Lancashire/Cumbria in the North West Ambulance Service (NWAS) and the North East Ambulance Service (NEAS)]. Adult patients with signs of isolated TBI [Glasgow Coma Scale (GCS) score of  0.05) in the 273 (159/113) patients with data available. There were no apparent differences in staff and patient preferences for either pathway, with satisfaction high with both. Very low responses to invitations to consent for follow-up in the large number of mild head injury-enrolled patients meant that only 20% of patients had 6-month outcomes. The trial-based economic evaluation could not focus on early neurosurgery because of these low numbers but instead investigated the comparative cost-effectiveness of bypass compared with selective secondary transfer for eligible patients at the scene of injury. Conclusions: Current NHS England practice of bypassing patients with suspected TBI to neuroscience centres gives overtriage ratios of 13 : 1 for neurosurgery and 4 : 1 for TBI. This important finding makes studying the impact of bypass to facilitate early neurosurgery not plausible using this study design. Future research should explore an efficient comparative effectiveness design for evaluating ‘early neurosurgery through bypass’ and address the challenge of reliable TBI diagnosis at the scene of injury. Trial registration: Current Controlled Trials ISRCTN68087745. Funding: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 20, No. 1. See the NIHR Journals Library website for further project information