| Date post: | 09-Jul-2015 |
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User Acceptance of Pervasive Computing in Healthcare: Main Findings from two Case Studies
Mandy Scheermesser, Hannah Kosow IZT- Institute for Futures Studies and Technology Assessment, Berlin
Asarnusch Rashid, Dr. Carsten HoltmannFZI - Research Center for Information Technologies, Karlsruhe
1. Research Question
2. Theoretical Background
3. Methodology
4. Case Study “Stroke Angel” + User Acceptance
5. Case Study “MS-Nurses”/actibelt + User Acceptance
6. Generalization of Results
7. Conclusion
Overview
è Which factors facilitate or inhibit user
acceptance of Pervasive Computing
in Healthcare?
Research Question
è Technology Acceptance Model (TAM) (Davis 1989)
èFactor “perceived usefulness”
èFactor “perceived ease of use” (“usability”)
è Theory of Planned Behavior (TPB)(Ajzen 1991, Ajzen & Fishbein 1980)
èFactor “subjective norms“
Theoretical Background
Methodology
Analysis of Trends and Stakeholders
Case Study “Stroke Angel“
Case Study “MS-Nurses“/ actibelt
User AcceptanceAnalysis
User AcceptanceAnalysis
• observations
• qualitative semi-structured interviews with EMT-I, emergency physicians, nurses, physicians
• two focus group sessions with potential patients
• observations
• qualitative semi-structured interviews with patients, physicians, nurses, physiotherapists
• two focus group sessions with chronic patients
• questionnaires ex ante/ ex post
Case Study ‚Stroke Angel‘
(Source: PerCoMed)
Case Study ‚Stroke Angel‘
(Source: PerCoMed)
Layperson Doctor, Nurse
Paramedic, Emergency Physician
Control-assistant in RCC
Preclinical Phase Clinical Phase
First-aidLysis / Therapy
Emergency Call Diagnosis
Rescue Call Out
Identification and Alarm
User Acceptance ‚Stroke Angel‘
è Usefulness: decisive factor of acceptance: shortening ‚time to imaging‘ vs. time losses and blocked rescue chain.
è Usability: need for better adoption to specific working conditions in ambulances; time-losses affect perception of medical benefit.
è Subjective norms: interferes with established work and power relations (EMT-I vs. emergency physicians).
Case Study ‚MS-Nurses‘/ actibelt
(Source: Sylvia Lawry Centre for Multipe Sclerosis Research)
User Acceptance ‚MS- Nurses‘/actibelt
è Usefulness: medical benefit is not proven yet but expected and hoped for: objective data, better anamnesis, diagnosis and therapy.
è Usability: patients overall satisfied; difficulties with on/off mechanism and flashing signal.
è Subjective Norms: influence on physician-patient relationship is open; changes in job image of nurses.
User Acceptance: Generalization
• Usefulness:- acceptance by all groups of stakeholders is high, if – and only if
– medical benefit is perceived, proven, experienced or at least expected.
• Usability: - need for adoption to health care settings and to patients’ and
professionals’ abilities/ disabilities and life/ working conditions.
• Subjective norms:- If social roles (as job images) change, occupational groups could
inhibit successful implementation.
Conclusion
è Transparent communication and participation required.
