4 research outputs found

    The incidence of clinical fractures in adults aged 50 years and older in Spain

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    Objective. The aim of this study was to quantify the incidence of all clinical fractures, including traumatic and fragility fractures, in patients aged 50 years and older, and to describe their distribution by fracture location, sex and age. Methods. The incidence of clinical fractures at 10 hospitals in Catalonia, with a reference population of 3 155 000 inhabitants, was studied. For 1 week, from 30 May to 5 June 2016, we reviewed the discharge reports of the Traumatology section of the Emergency Department to identify all fractures diagnosed in patients ≄50 years of age. As a validation technique, data collection was carried out for 1 year at one of the centres, from 1 December 2015 to 30 November 2016. The fracture incidence, including the 95% CI, was estimated for the entire sample and grouped by fracture type, location, sex and age. Results. A total of 283 fractures were identified. Seventy per cent were in women, with a mean age of 72 years. The overall fracture incidence was 11.28 per 1000 person-years (95% CI: 11.10, 11.46), with an incidence of traumatic and fragility fractures of 4.15 (95% CI: 4.04, 4.26) and 7.13 per 1000 person-years (95% CI: 6.99, 7.28), respectively. The incidence of fractures observed in the validation sample coincided with that estimated for the whole of Catalonia. The most common fragility fractures were of the hip, forearm, humerus and vertebrae. Conclusion. The results of this study are the first to estimate the incidence of clinical fragility fractures in Spain, grouped by location, age and sex

    Patient and stakeholder engagement learnings: PREP-IT as a case study

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    Implementing stakeholder engagement to explore alternative models of consent: An example from the PREP-IT trials

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    Introduction: Cluster randomized crossover trials are often faced with a dilemma when selecting an optimal model of consent, as the traditional model of obtaining informed consent from participant's before initiating any trial related activities may not be suitable. We describe our experience of engaging patient advisors to identify an optimal model of consent for the PREP-IT trials. This paper also examines surrogate measures of success for the selected model of consent. Methods: The PREP-IT program consists of two multi-center cluster randomized crossover trials that engaged patient advisors to determine an optimal model of consent. Patient advisors and stakeholders met regularly and reached consensus on decisions related to the trial design including the model for consent. Patient advisors provided valuable insight on how key decisions on trial design and conduct would be received by participants and the impact these decisions will have. Results: Patient advisors, together with stakeholders, reviewed the pros and cons and the requirements for the traditional model of consent, deferred consent, and waiver of consent. Collectively, they agreed upon a deferred consent model, in which patients may be approached for consent after their fracture surgery and prior to data collection. The consent rate in PREP-IT is 80.7%, and 0.67% of participants have withdrawn consent for participation. Discussion: Involvement of patient advisors in the development of an optimal model of consent has been successful. Engagement of patient advisors is recommended for other large trials where the traditional model of consent may not be optimal
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