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service ecology: design issues for hospital infec3on preven3on and control (IPC)
Prof Alastair S Macdonald Senior Researcher School of Design, The Glasgow School of Art
Dr Colin Macduff School of Nursing and Midwifery, Robert Gordon University, Aberdeen
Dr David Loudon Research Fellow, The Glasgow School of Art
Susan Wan Research Assistant, The Glasgow School of Art
Macdonald et al, Service Ecology, SERVDES 2016, Copenhagen, 24 May 2016.
visionOn: a tablet-‐based visualisa3on tool for training staff -‐ healthcare associated infec3ons (HAIs)
The Glasgow School of Art
Robert Gordon University, Aberdeen
NHS Grampian
NHS Lanarkshire
GAMA Healthcare Ltd
Macdonald et al, Service Ecology, SERVDES 2016, Copenhagen, 24 May 2016.
context An;microbial Resistance (AMR) Recognised as one of the most important global issues for human and animal health due to the increasing numbers of resistant infec3ons leading to many exis3ng an3microbials becoming less effec3ve
context An;microbial Resistance (AMR) Recognised as one of the most important global issues for human and animal health due to the increasing numbers of resistant infec3ons leading to many exis3ng an3microbials becoming less effec3ve Healthcare Associated Infec;ons (HAIs) HAIs caused by pathogens which take many forms -‐ virus, bacterium, fungus, prion and parasite: norovirus, C diff (Clostridium difficile), and MRSA (methicillin-‐resistant Staphylococcus aureus) -‐ probably most widely known
context An;microbial Resistance (AMR) Recognised as one of the most important global issues for human and animal health due to the increasing numbers of resistant infec3ons leading to many exis3ng an3microbials becoming less effec3ve Healthcare Associated Infec;ons (HAIs) HAIs caused by pathogens which take many forms -‐ virus, bacterium, fungus, prion and parasite: norovirus, C diff (Clostridium difficile), and MRSA (methicillin-‐resistant Staphylococcus aureus) -‐ probably most widely known Infec;on Preven;on and Control (IPC) Poor IPC can lead to AMR
hospital service ecosystem: 3 key actors
hospital service ecosystem: 3 key actors
people -‐ doctors, nurses, cleaning staff -‐ their everyday roles and tasks – plus pa3ents & visitors
hospital service ecosystem: 3 key actors
people -‐ doctors, nurses, cleaning staff -‐ their everyday roles and tasks – plus pa3ents & visitors
pathogens -‐ norovirus, C diff, MRSA -‐ loca3on, survival, transmission
hospital service ecosystem: 3 key actors
people -‐ doctors, nurses, cleaning staff -‐ their everyday roles and tasks – plus pa3ents & visitors
pathogens -‐ norovirus, C diff, MRSA -‐ loca3on, survival, transmission
environment – hard hospital beds, bedside areas, curtains, taps, toilets, flooring…; so8 -‐ air currents, humidity, temperature ..
issues
IPC training materials
issues
IPC training materials Lack of adherence to IPC protocols
issues
IPC training materials Lack of adherence to IPC protocols Lack of understanding and awareness of pathogens
issues
IPC training materials Lack of adherence to IPC protocols Lack of understanding and awareness of pathogens … all contribute to growth in AMR
Visual derived from covert observa>onal data in: Smith, S.J., Young, V., Robertson, C. and Dancer S.J. (2012) Where do hands go? An audit of sequen3al hand-‐touch events on a hospital ward. The Journal of hospital infec>on, 80(3), 206–211.
junior doctor senior nurse auxiliary nurse cleaner
common hand-‐touch points
The evidence base 1: who touches what ?
prior work Vis-‐Invis: Recommenda3on:” Further development of the concept prototypes for staff training would be beneficial if the visualisa>ons could be augmented with specific training informa>on and scenarios centred around the preven>on of HAIs.”
using visualisa3on Could a visually-‐oriented interac;ve tool raise awareness of loca;on, survival and transmission of pathogens in the ward environment and assist training in IPC across job roles by reinforcing the 'why’ behind IPC procedures?
approach: from hierarchical to co-‐dependent
doctors
senior nurses
auxiliary nurses
domes;cs (cleaners)
current training model hierarchical / differen>ated
intended training model cross cohort / co-‐dependent
3 stage par3cipa3ve process workshop
workshop
evalua;on
development
development
development
?
?
?
? ?
key themes pathogen loca;on
24 hours 1 week
5 months 7 months
key themes) pathogen loca;on pathogen survival
key themes pathogen loca;on pathogen survival pathogen transmission
key themes pathogen loca;on pathogen survival pathogen transmission
MRSA norovirus C difficile
key themes pathogen loca;on pathogen survival pathogen transmission
MRSA norovirus C difficile
Interven>on
Without cleaning
With cleaning
Visuals derived from data in: Bogusz, Alexandra and Stewart, Munro and Hunter, Jennifer and Yip, Brigihe and Reid, Damien and Robertson, Chris and Dancer, Stephanie J. (2013) How quickly do hospital surfaces become contaminated a8er detergent cleaning? Healthcare Infec3on, 18 (1). pp. 3-‐9. ISSN 1835-‐5617
Surfaces decontaminated aRer detergent cleaning
the evidence-‐base 2: survival
Visuals derived from data in: Bogusz, Alexandra and Stewart, Munro and Hunter, Jennifer and Yip, Brigihe and Reid, Damien and Robertson, Chris and Dancer, Stephanie J. (2013) How quickly do hospital surfaces become contaminated a8er detergent cleaning? Healthcare Infec3on, 18 (1). pp. 3-‐9. ISSN 1835-‐5617
Re-‐contamina;on exceeding proposed cleanliness standards aRer 24 hours
24 hours later
Surfaces decontaminated aRer detergent cleaning
the evidence-‐base 2: survival
itera3ve prototyping feedback -‐ pathogen survival stage 1 sample
stage 1 mock-‐ups “It gave a beSer understanding of exactly what MRSA is.” (cl2) cleaner
“I was shocked that the norovirus is like an aerosol effect in the room. It spreads everywhere, over furniture, chairs, floors, on hands and clothes.” (cL6) cleaner “Thought provoking visuals. Especially highligh>ng mode of transmission and how long they s>ck around such as c-‐diff. You could have an anima>on of how bug travels between rooms throughout wards and ul>mately through hospital” (dr2) doctor “Should be moving pictures rather than s>lls, should use proper wards and superimpose the virus over the image of real environments to give a more real feel to the message, show different areas in the hospital not just ward based.” (n9B) nurse
synthesised narra3ves embodied data democra3c discourse stage 1 mock-‐ups
‘… affirm … ’ ‘… misunderstand …’ ‘… be good to have ...’ ‘… need more informa>on about …’
(n=30) for each of 6 x stage 1 prototypes
Feedback data -‐ workbooks -‐ transcripts of discussions in response to each prototype
synthesised narra3ves embodied data democra3c discourse stage 1 mock-‐ups
stage 2 prototype
(n=30) (n=18)
© The Glasgow School of Art visionOn 2016
stage 2
© The Glasgow School of Art visionOn 2016
stage 2
synthesised narra3ves embodied data democra3c discourse stage 1 mock-‐ups
stage 2 prototype
stage 3 prototype
(n=30) (n=18) (n=102)
(N=150)
stage 1 mock-‐ups Each successive itera7on embodied feedback from across job-‐roles
itera3ve prototyping: survival of pathogens
stage 2 prototype
stage 3 prototype
The
workshop 1
workshop 2
stand-‐alone evalua;on
3 stage par3cipa3ve process
© The Glasgow School of Art visionOn 2016
stage 3
virtual ward
features
Micro / macro view Zoom in / out camera
interac;ve visuals
Temporal dimension Pathogen specific Effects of cleaning
learning points
Example -‐ pathogen survival
1. Different pathogens have different survival 3mes within the ward environment depending on whether adequate cleaning has taken place
2. Pathogens are invisible to the naked eye so the ward can appear ‘clean’ but may not be
3. At 24 hours aner cleaning a surface, the microbial level can grow and return to the pre-‐clean levels
layered informa;on Relevant to each pathogen type
Risk to pa>ent More detail only if required
Visualisa3ons were engaging and suppor;ve of different learning styles Offered staff a new perspec;ve on pathogens, being able to ‘see’ them contextualised in the virtual ward, making them seem more real.
ini3al findings 1
ini3al findings 2 Informa3on relevant for different staff cohorts, with a mix of experience levels Increased par;cipants’ awareness about pathogens by explaining ‘why’ (through dynamic visuals and informa>on) IPC procedures should be followed Reinforced understanding of how HAIs occur
Further applica;ons were suggested, including induc3ons for new starts, educa3on in schools/universi3es, and refresher courses.
ini3al findings 3
1: the need for par7cipa7ve approaches which challenge the top-‐down hierarchical healthcare paradigm to develop training materials more effec7ve across the different cohorts within a complex service ecosystem -‐ ‘IPC is everyone’s business’ -‐ Just one transgressor spoils IPC for all
healthcare service design issues
2: use the evidence-‐base but design data to be accessible, contextualised and meaningful across the different job roles to enable beFer engagement, par7cipa7on and co-‐development -‐ (the usual mode of academic data presenta>on is ‘privileged’ and inappropriate for training non-‐academics)
healthcare service design issues
3: visualisa7on can help untangle the complexity between the various actors -‐ Improving awareness and understanding
healthcare service design issues
✔
✔
✔
✔
IPC
Will the tool help improve adherence to IPC protocols?
ques3on
✔
✔
✔
✔
?Awareness √ Adherence ? Understanding √
IPC
Proof of concept Demand from NHS IPC managers
achievements
Publica;on of detailed findings Stage 4 prototype embodying 105 x stage 3 feedback datasets Development of new ‘modules’ In-‐ward feasibility trial
next
The visionOn project is funded by the Arts and Humani3es Research Council’s Follow-‐On Funding for Impact and Engagement (Grant Ref: AH/M00628X/1) with support from NHS Grampian, NHS Lanarkshire and GAMA Healthcare Ltd. The research team, advisory group and partners www.visionon.org
acknowledgements