Implementation and use of computerised clinical decision support (CCDS) in emergency pre-hospital care: a qualitative study of paramedic views and experience using Strong Structuration Theory

被引:21
作者
Porter, Alison [1 ]
Dale, Jeremy [2 ]
Foster, Theresa [3 ]
Logan, Pip [4 ]
Wells, Bridget [1 ]
Snooks, Helen [1 ]
机构
[1] Swansea Univ, Patient & Populat Hlth Res, Sch Med, Swansea SA2 8PP, W Glam, Wales
[2] Univ Warwick, Coventry, W Midlands, England
[3] East England Ambulance Serv Trust, Barton Mills, England
[4] Univ Nottingham, Nottingham, England
来源
IMPLEMENTATION SCIENCE | 2018年 / 13卷
关键词
Paramedic; Emergency; Pre-hospital; Information technology; Decision support; CCDS; PATIENT OUTCOMES; AMBULANCE STAFF; OLDER-PEOPLE; SYSTEMS; MANAGEMENT; TRIALS; FALLEN; IMPACT;
D O I
10.1186/s13012-018-0786-x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Computerised clinical decision support (CCDS) has been shown to improve processes of care in some healthcare settings, but there is little evidence related to its use or effects in pre-hospital emergency care. CCDS in this setting aligns with policies to increase IT use in ambulance care, enhance paramedic decision-making skills, reduce avoidable emergency department attendances and improve quality of care and patient experience. This qualitative study was conducted alongside a cluster randomised trial in two ambulance services of the costs and effects of web-based CCDS system designed to support paramedic decision-making in the care of older people following a fall. Paramedics were trained to enter observations and history for relevant patients on a tablet, and the CCDS then generated a recommended course of action which could be logged. Our aim was to describe paramedics' experience of the CCDS intervention and to identify factors affecting its implementation and use. Methods: We invited all paramedics who had been randomly allocated to the intervention arm of the trial to participate in interviews or focus groups. The study was underpinned by Strong Structuration Theory, a theoretical model for studying innovation based on the relationship between what people do and their context. We used the Framework approach to data analysis. Results: Twenty out of 22 paramedics agreed to participate. We developed a model of paramedic experience of CCDS with three domains: context, adoption and use, and outcomes. Aspects of context which had an impact included organisational culture and perceived support for non-conveyance decisions. Experience of adoption and use of the CCDS varied between individual paramedics, with some using it with all eligible patients, some only with patients they thought were 'suitable' and some never using it. A range of outcomes were reported, some of which were different from the intended role of the technology in decision support. Conclusion: Implementation of new technology such as CCDS is not a one-off event, but an ongoing process, which requires support at the organisational level to be effective.
引用
收藏
页数:10
相关论文
共 32 条
[11]   Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success [J].
Kawamoto, K ;
Houlihan, CA ;
Balas, EA ;
Lobach, DF .
BMJ-BRITISH MEDICAL JOURNAL, 2005, 330 (7494) :765-768E
[12]   Technology adoption and implementation in organisations: comparative case studies of 12 English NHS Trusts [J].
Kyratsis, Yiannis ;
Ahmad, Raheelah ;
Holmes, Alison .
BMJ OPEN, 2012, 2 (02)
[13]   Use of qualitative methods alongside randomised controlled trials of complex healthcare interventions: methodological study [J].
Lewin, Simon ;
Glenton, Claire ;
Oxman, Andrew D. .
BMJ-BRITISH MEDICAL JOURNAL, 2009, 339 :732-734
[14]   Computerised clinical decision support systems to improve medication safety in long-term care homes: a systematic review [J].
Marasinghe, Keshini Madara .
BMJ OPEN, 2015, 5 (05)
[15]  
McCann L, 2013, J MANAGE STUD, V50, P5
[16]  
NHS England, 2013, TRANSF URG EM CAR SE
[17]   What can qualitative research do for randomised controlled trials? A systematic mapping review [J].
O'Cathain, A. ;
Thomas, K. J. ;
Drabble, S. J. ;
Rudolph, A. ;
Hewison, J. .
BMJ OPEN, 2013, 3 (06)
[18]   A qualitative study of systemic influences on paramedic decision making: care transitions and patient safety [J].
O'Hara, Rachel ;
Johnson, Maxine ;
Siriwardena, A. Niroshan ;
Weyman, Andrew ;
Turner, Janette ;
Shaw, Deborah ;
Mortimer, Peter ;
Newman, Chris ;
Hirst, Enid ;
Storey, Matthew ;
Mason, Suzanne ;
Quinn, Tom ;
Shewan, Jane .
JOURNAL OF HEALTH SERVICES RESEARCH & POLICY, 2015, 20 :45-53
[19]   A roadmap for national action on clinical decision support [J].
Osheroff, Jerome A. ;
Teich, Jonathan M. ;
Middleton, Blackford ;
Steen, Elaine B. ;
Wright, Adam ;
Detmer, Don E. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2007, 14 (02) :141-145
[20]  
Pope Catherine., 2008, QUALITATIVE RES HLTH