May 2010 Berlin Patient perspectives Alison Bowes University of Stirling.
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Transcript of May 2010 Berlin Patient perspectives Alison Bowes University of Stirling.
May 2010 Berlin
Patient perspectives
Alison Bowes
University of Stirling
May 2010 2Berlin
In this domain
• Outcomes = patient’s (and relatives’) perceptions and satisfaction• Not easy to define, as includes many aspects such as:
– Feelings, comfort– Interaction with professionals– Convenience, timeliness– Overall satisfaction– Preference as compared with face to face interaction– Privacy and confidentiality– Professionals’ competence and/or personal manner– Views about the technology itself– Informativeness of professionals– Usefulness/potential for future use– Self efficacy and empowerment
• An evaluation has to specify which aspects are important and therefore which will be investigated.
Choosing outcome measures
• Standard or bespoke instruments?• Need to be specific and reportable• Need to use standard instruments where these are
appropriate• Criterion: what do we need to know, given the nature of the
intervention? Key aspects from MAST are• Satisfaction or acceptance• Understanding of information• Confidence• Ease of use• Access• Empowerment and self-efficacy
May 2010 3Berlin
Examples from literature
• Qualitative methods:– Interviews (semi structured)– Diary keeping – Patients record and self report their symptoms
• Quantitative methods– Questionnaires to patients – Standard satisfaction survey (e.g. Group Health Association of America
Consumer Satisfaction Survey)– Standard health measures (e.g. SF36 – a generic health and well-being scale)– Condition related standard measures (e.g. DQOL [Diabetes], DemQOL
[Dementia] and others)• Mixed methods
– Selection of qualitative and quantitative tools
May 2010 4Berlin
Collecting data on patient perceptions
• Consider what criteria need to be considered• Design a systematic approach to data
collection• Integrate the collection of satisfaction data
within the system• Ensure that data can be analysed readily• No need to re-invent the wheel (see Appendix
to MAST, which includes many suggestions)
May 2010 5Berlin
Examples from literature
• Surveys which combine standard and bespoke measures (e.g. standard satisfaction measures with specific questions about access to services, when intervention was delivered in rural areas)
• Mixed methods data collection (e.g. in teleoncology services, some quantitative questionnaire work, but more open-ended interview data which is helpful where patients and their families are in varied circumstances and locations)
• Patients keep a record of their symptoms (e.g. this was frequently used in telepsychiatry)
May 2010 6Berlin
Handy hints
• Focus on key aspects (less may be more…..)• Remember the key criteria
• Satisfaction or acceptance• Understanding of information• Confidence• Ease of use• Access• Empowerment and self-efficacy
• Integrate data collection with other procedures• Allow for the unexpected (e.g. differences between patients,
unintended results)• Make sure that the data are used to inform the intervention• See patients as partners in care, who contribute to successful
outcomesMay 2010 7Berlin
Date 8Place
Thanks and contacts
Thank you for listening.
Any questions?
www.renewinghealth.eu