Lower visual acuity predicts worse utility values among patients with type 2 diabetes.
Objective: We estimated the quality of life impact of vision loss in a community-based population with diabetes.Design and Methods: We randomly surveyed 4,000 members of a large health maintenance organization with type 2 diabetes to assess quality of life using the EQ-5D instrument. Visual acuity w...
| Published in: | Quality of Life Research Vol. 17; no. 10; pp. 1277 - 1285 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Dec2008
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105583714&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105583714 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Dec2008 vid: 17 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105583714 NLM18972222 2010114591 10.1007/s11136-008-9399-1 NLM18972222 105583714 ppf: 1277 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Lower visual acuity predicts worse utility values among patients with type 2 diabetes. aug: au: Smith DH Johnson ES Russell A Hazlehurst B Muraki C Nichols GA Oglesby A Betz-Brown J Smith, David H Johnson, Eric S Russell, Allen Hazlehurst, Brian Muraki, Cecilia Nichols, Gregory A Oglesby, Allen Betz-Brown, Jonathan affil: Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave., Portland, OR 97227, USA sug: subj: Diabetes Mellitus, Type 2 Quality of Life Visual Acuity Physiology Adult Aged Aged, 80 and Over Female Male Middle Age Natural Language Processing Surveys Human Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: Objective: We estimated the quality of life impact of vision loss in a community-based population with diabetes.Design and Methods: We randomly surveyed 4,000 members of a large health maintenance organization with type 2 diabetes to assess quality of life using the EQ-5D instrument. Visual acuity was obtained by automated text processing of clinical notes recorded during the two years preceding subjects' surveys. Natural language processing was used to collect data from electronic medical records and to read clinical notes to determine the stage of retinopathy. Linear regression was used to model quality of life scores.Results: Of the 4,000 surveys sent, approximately 55% of patients responded. Patients with > or = 20/20 acuity reported the highest mean utility (mean = 0.82), which declined as the visual angle doubled to 20/40 (mean = 0.75), and then doubled again to < or = 20/80 (mean = 0.71). Perfect utility (1.0) was reported by 28% of the sample. Only 7% of patients suffered visual impairment (< or = 20/40), and lower levels of visual acuity rarely occurred. Compared with patients with > or = 20/20 acuity, the first doubling of the visual angle (20/40) lowered utility by three points (95% confidence interval [CI], -0.05 to -0.01), and the second doubling of the visual angle (< or = 20/80) lowered utility by six points (95%CI, -0.10 to -0.02).Conclusions: This study aimed to estimate disutility associated with visual loss in patients with diabetes using a community-based sample and controlled for many characteristics associated with quality of life. We found a smaller utility decrement compared to other studies, suggesting that visual acuity's impact on the quality of life for patients with diabetes in the community setting differs from more selected populations. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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