A staff training intervention to improve communication between people living with dementia and health-care professionals in hospital: the VOICE mixed-methods development and evaluation study

Harwood RH, O’Brien R, Goldberg SE, Allwood R, Pilnick A, Beeke S, Thomson L, Murray M, Parry R, Kearney F, Baxendale B, Sartain K, Schneider J
Record ID 32018000264
English
Authors' objectives: To identify teachable, effective strategies for communication between health-care professionals and people living with dementia, and to develop and evaluate a communication skills training course.
Authors' results and conclusions: Results: The literature review identified 26 studies describing 10 communication strategies, with modest evidence of effectiveness. Health-care professional-initiated encounters followed a predictable phase structure. Problems were apparent in requests (with frequent refusals) and in closings. Success was more likely when requests were made directly, with high entitlement (authority to ask) and with lowered contingencies (made to sound less difficult, by minimising the extent or duration of the task, asking patients ‘to try’, offering help or proposing collaborative action). Closings were more successful if the health-care professional announced the end of the task, made a specific arrangement, body language matched talk, and through use of ‘closing idioms’. The training course comprised 2 days, 1 month apart, using experiential learning, including lectures, video workshops, small group discussions, simulations (with specially trained actors) and reflections. We emphasised the incorporation of previous expertise and commitment to person-centred care. Forty-four participants returned for the second training day and 43 provided complete evaluation data. Knowledge and confidence both increased. Some behaviours, especially relating to closings, were more commonly used after training. The course was rated highly in interviews, especially the use of simulations, real-life video clips and interdisciplinary learning. Participants reported that they found the methods useful in practice and were using them 1 month after the course finished. Conclusions: Requests and closings pose particular difficulties for professionals communicating with people with dementia. We identified solutions to these problems and incorporated them into communication skills training, which improved knowledge, confidence and some communication behaviours. Simulation was an effective training modality.
Authors' methods: Design: We undertook a systematic literature review, video-recorded 41 encounters between staff and people with dementia, and used conversation analysis to investigate communication problems and solutions. We designed a communication skills training course using coproduction and multiple pedagogic approaches. We ran a pilot, followed by six courses for health-care professionals. We measured knowledge, confidence and communication behaviours before, immediately after and 1 month after the course, and undertook interviews with participants and managers. Behaviours were measured using blind-rated videos of simulations.
Authors' identified further research: Further research should investigate a wider range of health, social care and family carers. Conversation analysis should be used to investigate other aspects of health-care communication.
Details
Project Status: Completed
Year Published: 2018
English language abstract: An English language summary is available
Publication Type: Full HTA
Country: England, United Kingdom
MeSH Terms
  • Dementia
  • Caregivers
  • Cognition Disorders
  • Delivery of Health Care
  • Communication
  • Teaching
  • Hospitalization
Contact
Organisation Name: NIHR Health Services and Delivery Research programme
Contact Address: NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name: journals.library@nihr.ac.uk
Contact Email: journals.library@nihr.ac.uk
Copyright: Queen's Printer and Controller of HMSO
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