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Michael Bowen, Michele Acton, Dolores Conroy, Richard Wormald, Anita Lightstone, Katherine Cowan, Catey Bunce, Mark Fenton, Karen Bonstein, ; The Sight Loss and Vision Priority Setting Partnership (SLV-PSP) - initial survey methods, respondents’ demographics and preliminary categorisation framework. Invest. Ophthalmol. Vis. Sci. 2013;54(15):4390.
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The SLV-PSP was established to identify unanswered questions about the prevention, diagnosis and treatment of sight loss and eye conditions that are most important to patients, partners/carers/relatives and eye health professionals in the UK. The exercise aims to identify research priorities which can then be used to inform the decisions of funding bodies and researchers and to enhance the case for additional research funding.
The process commenced with a survey open to patients, partners / carers / relatives and eye health professionals. People were asked to submit questions about the prevention, diagnosis and treatment of sight loss and eye conditions that they would like to see answered by research. The survey was widely disseminated by patient groups, professional bodies and through the media (radio and press) and was available to be completed on-line, by phone, by post and by alternative formats including Braille and audio. The survey also gathered demographic data about respondees.
2,200 people responded to the survey generating 4,606 questions. Of these respondents, 65% were persons with sight loss or an eye condition. 17% identified themselves as healthcare professionals including primarily: ophthalmologists, optometrists, orthoptists, ophthalmic nurses, opticians and people working in social care and rehabilitation. The basic demographics of the respondents were as follows: Male 38.4%, Female 61.6%; mean age 63. Ethnicity: White (92.9%), Black (2.1%), Asian (2.8%), Mixed race (1.0%), Chinese (0.4%), Other (0.8%). The questions were categorised in 13 eye disease categories prior to further analysis.
The initial analysis of demographic data for respondents indicates that the sample is generally representative of the UK population. The number and diversity of conditions represented in responses was encouraging and initial review suggests that the distribution across the major conditions fits projected population incidence. Further analysis is underway.
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