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Non-pharmacological therapies for pain management in paediatric intensive care units: a protocol for a scoping review

Introduction

In critically ill children, pain management is complex owing to cognitive development and the nature of hospitalisation in paediatric intensive therapy units. Although there are many protocols and guidelines for pain control via pharmacological interventions, non-pharmacological practices should also be explored and disseminated for their potential benefit.

Methods and analysis

A systematic literature search will be performed using the following databases: Academic Search Premier, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Excerpta Medica Database, Virtual Health Library, Medical Literature Analysis and Retrieval System Online, ScienceDirect, Scopus, Web of Science Core Collection, Theses from Coordenacão de Aperfeicoamento de Pessoal de Nível Superior, Dart Europe, Open Access Theses and Dissertations and grey literature from Google Scholar. The research will consider quantitative and qualitative studies, mixed-method studies, systematic reviews, text articles, opinion articles, letters to editors and editorials in any language and from any database. The following will be eligible for inclusion: (1) newborns, infants, children and adolescents; and (2) non-pharmacological therapies used for pain in paediatric intensive care.

Ethics and dissemination

This study does not require ethical approval. The results of this research will be disseminated through social media channels and podcasts about pain in children.

Trial registration number

This protocol has been registered with the Open Science Framework (DOI 10.17605/OSF.IO/DZHKT).

Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals

Por: Gunathilaka · N. J. · Gooden · T. E. · Cooper · J. · Flanagan · S. · Marshall · T. · Haroon · S. · DElia · A. · Crowe · F. · Jackson · T. · Nirantharakumar · K. · Greenfield · S.
Introduction

Coexisting multiple health conditions is common among older people, a population that is increasing globally. The potential for polypharmacy, adverse events, drug interactions and development of additional health conditions complicates prescribing decisions for these patients. Artificial intelligence (AI)-generated decision-making tools may help guide clinical decisions in the context of multiple health conditions, by determining which of the multiple medication options is best. This study aims to explore the perceptions of healthcare professionals (HCPs) and patients on the use of AI in the management of multiple health conditions.

Methods and analysis

A qualitative study will be conducted using semistructured interviews. Adults (≥18 years) with multiple health conditions living in the West Midlands of England and HCPs with experience in caring for patients with multiple health conditions will be eligible and purposively sampled. Patients will be identified from Clinical Practice Research Datalink (CPRD) Aurum; CPRD will contact general practitioners who will in turn, send a letter to patients inviting them to take part. Eligible HCPs will be recruited through British HCP bodies and known contacts. Up to 30 patients and 30 HCPs will be recruited, until data saturation is achieved. Interviews will be in-person or virtual, audio recorded and transcribed verbatim. The topic guide is designed to explore participants’ attitudes towards AI-informed clinical decision-making to augment clinician-directed decision-making, the perceived advantages and disadvantages of both methods and attitudes towards risk management. Case vignettes comprising a common decision pathway for patients with multiple health conditions will be presented during each interview to invite participants’ opinions on how their experiences compare. Data will be analysed thematically using the Framework Method.

Ethics and dissemination

This study has been approved by the National Health Service Research Ethics Committee (Reference: 22/SC/0210). Written informed consent or verbal consent will be obtained prior to each interview. The findings from this study will be disseminated through peer-reviewed publications, conferences and lay summaries.

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