Barriers and facilitators to implementing playlists as a novel personalised music intervention in public healthcare settings in New South Wales, Australia
Tara Dimopoulos-Bick A G , Kim E. Clowes B , Katie Conciatore C , Maggie Haertsch D E , Raj Verma A and Jean-Frederic Levesque A FA Agency for Clinical Innovation, Level 4, 67 Albert Avenue, Chatswood, NSW 2057, Australia.
B Concord Repatriation General Hospital, Sydney Local Health District, Hospital Road, Concord, NSW 2139, Australia.
C Blacktown and Mount Druitt Hospitals, Western Sydney Local Health District, 18 Blacktown Road, Blacktown, NSW 2148, Australia.
D Arts Health Institute, 246 Forbes Street, Darlinghurst, NSW 2010, Australia.
E Present address: Australian Community of Practice in Research in Dementia, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia.
F Centre for Primary Health Care and Equity of University of NSW, Level 3, AGSM Building, UNSW Sydney, Sydney, NSW 2052, Australia.
G Corresponding author. Email: tara.dimopoulosbick@health.nsw.gov.au
Australian Journal of Primary Health 25(1) 31-36 https://doi.org/10.1071/PY18084
Submitted: 8 June 2018 Accepted: 27 September 2018 Published: 15 January 2019
Journal Compilation © La Trobe University 2019 Open Access CC BY-NC-ND
Abstract
Listening to personalised music is a simple and low-cost intervention with expected therapeutic benefits, including reduced agitation, stress responses and anxiety. While there is growing evidence for the use of personalised music as a therapeutic intervention, there has been little investigation into processes and strategies that would support the implementation of playlists. The aim of this study was to identify the perceived barriers and facilitators to implementing personalised playlists on a large scale in public healthcare settings. A mixed-methods approach was used to evaluate the feasibility of the intervention in 21 different acute, sub-acute and primary healthcare settings in New South Wales (NSW), Australia, between June 2016 and June 2017. Data collection included 153 survey responses (staff n = 35, patients n = 49 and family members n = 69), six focus groups (staff n = 21) and an analysis of 37 documents. Data sources were systematically categorised using a Policy Analysis Framework. Facilitators included the use of implementation leads and volunteers, a high level of staff engagement and the integration of music selection and playlist development into routine clinical practice. Barriers included ongoing and unexpected funding, time to prepare playlists and staff turnover. The results from this study support the feasibility and acceptability of implementing playlists in different healthcare settings.
Additional keywords: individualised music, patient experience, personalised playlists, therapeutic music.
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