[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100647290":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":21,"centralContacts":26,"locations":32,"responsibleParty":49,"collaborators":20,"id":51,"slug":52,"hasResults":53,"nctId":54,"briefTitle":55,"officialTitle":55,"acronym":56,"eligibilityCriteria":57,"healthyVolunteers":53,"sex":58,"minAge":59,"maxAge":20,"enrollmentInfo":60,"targetDuration":20,"studyType":63,"phases":64,"briefSummary":66,"conditions":67,"keywords":73,"overallStatus":78,"whyStopped":20,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":84,"leadSponsor":86,"locationsCount":87},{"fullName":5,"class":6},"Papworth Hospital NHS Foundation Trust","OTHER_GOV",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Bedside nurses in Enhanced Recovery Unit","EXPERIMENTAL","Baseline collection will consist of data from 20 bedside nurses over 10 shifts (12 hours +\u002F- 3 hrs) each. 5 shifts post first intervention (1st workshop) and 5 shifts post second intervention (2nd workshop).",[13],"Behavioral: Critical Participatory Action Intervention with HRV Feedback",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":20},"BEHAVIORAL","Critical Participatory Action Intervention with HRV Feedback","The intervention is based on a Critical Participatory Action Research learning model, using the participant's heart rate variability data collected during clinical shifts. Before the intervention, participants will complete repeated HRV monitoring and use a diary to record clinical events and reflections. The intervention includes facilitated workshops introducing reflective practice, cognitive bandwidth, and related educational concepts. Participants will receive individual coaching to review their HRV data and identify patterns and triggers in their clinical work, followed by group discussions to share experiences and develop strategies to adapt practice. A second workshop builds on this process with further reflection, additional HRV analysis, and collaborative strategy development. Between and after sessions, participants continue data collection and apply insights in practice, aiming to enhance clinical performance and develop a more context-aware approach to patient care.",[9],null,[22],{"name":23,"affiliation":24,"role":25},"Robert Gatherer, MBBS","Royal Papworth Hospital NHS Foundation Trust","PRINCIPAL_INVESTIGATOR",[27],{"name":28,"role":29,"phone":30,"phoneExt":20,"email":31},"Clinical Project Manager","CONTACT","01223638000","jeong-min.chun@nhs.net",[33],{"facility":24,"status":20,"city":34,"state":35,"zip":36,"country":37,"countryCode":38,"cosmosGeoPoint":39,"geoPoint":44,"contacts":45},"Cambridge","Cambridgeshire","CB2 0AY","United Kingdom","UK",{"type":40,"coordinates":41},"Point",[42,43],0.11667,52.2,{"lat":43,"lon":42},[46,48],{"name":23,"role":29,"phone":30,"phoneExt":20,"email":47},"robert.gatherer@nhs.net",{"name":23,"role":25,"phone":20,"phoneExt":20,"email":20},{"type":50,"investigatorFullName":20,"investigatorTitle":20,"investigatorAffiliation":20,"oldNameTitle":20,"oldOrganization":20},"SPONSOR","100647290","heart-rate-variability-for-practitioner-stimulated-reflection-and-decision-making-optimisation-100647290",false,"NCT07709364","Heart Rate Variability for Practitioner Stimulated Reflection and Decision-making Optimisation","HRV-PRO","Inclusion Criteria:\n\n* Nurse working in Enhanced Recovery Unit at Royal Papworth Hospital NHS Foundation Trust\n* Willingness to participate in the trial\n\nExclusion Criteria:\n\n* Staff with permanent pacemakers\n* Staff on medication that could affect HRV (e.g. b-blockers)","ALL","21 Years",{"count":61,"type":62},20,"ESTIMATED","INTERVENTIONAL",[65],"NA","At the heart of healthcare is the interaction between healthcare practitioners and patients. It is believed that optimisation of this interaction can improve patient relevant outcomes, safety and patient experience. Through utilisation of practitioner physiological data, heart rate variability (HRV), to help practitioners make better decisions and optimise practice, it is considered possible to improve decision making around patient care and improve outcomes and safety.\n\nThe modern intensive care unit (ICU) is a dynamic data rich environment requiring rapid and accurate decision making. Advances in ventilator technology, electronic patient monitoring and electronic health records (EHR) have provided exponential growth in data produced for patients and the need for complex decision making. However, data overload and alarm fatigue can result in poor understanding and a delayed response from the practitioner in addressing the patient's needs.\n\nThe aim of this study is to present and evaluate a psychophysiology training approach for practitioners derived from their cardiovascular response through the course of the working day, this will be measured using heart rate variability (HRV). Practitioner HRV has been shown to be linked to work related stress and is considered a biomarker of decision-making.",[68,69,70,71,72],"Critical Care Nursing","Decision Making","Mechanical Ventilation","Cognition","Heart Rate Variability (HRV)",[74,75,76,77],"Heart Rate Variability","HRV","Healthcare practitioner","Practitioner HRV","NOT_YET_RECRUITING","2026-07-13",{"date":81,"type":82},"2026-07-16","ACTUAL",{"date":81,"type":62},{"date":85,"type":62},"2027-06-01",{"name":5,"class":6},1]