Literature DB >> 27978569

Outcomes of the Veterans Affairs Low Vision Intervention Trial II (LOVIT II): A Randomized Clinical Trial.

Joan A Stelmack1, X Charlene Tang2, Yongliang Wei2, Denise Thomas Wilcox3, Timothy Morand4, Karen Brahm5, Scott Sayers6, Robert W Massof7.   

Abstract

IMPORTANCE: Randomized clinical trials are needed to compare effectiveness and cost-effectiveness of different low-vision (LV) programs.
OBJECTIVE: To determine the value of adding LV rehabilitation with a therapist compared with LV services without intervention. DESIGN, SETTING, AND PARTICIPANTS: A randomized clinical trial was conducted from September 27, 2010, to July 31, 2014, of 323 veterans with macular diseases and best-corrected distance visual acuity (BCDVAbetter-eye) of 20/50 to 20/200. Masked interviewers administered questionnaires by telephone before and after LV treatment. Using an intention-to-treat design, participants were randomized to receive LV devices with no therapy or LV devices with a rehabilitation therapist providing instruction and homework on the use of LV devices, eccentric viewing, and environmental modification. Visual ability was measured in dimensionless log odds units (logits) (0.14-logit change in visual ability corresponds to ability change expected from a 1-line change in visual acuity).
INTERVENTIONS: Low-vision devices without therapy and LV devices with therapy. MAIN OUTCOMES AND MEASURES: Comparison of changes (baseline to 4 months) in overall visual ability and in 4 functional domains (reading, visual information, visual motor, and mobility) estimated from responses to the Veterans Affairs Low Vision Visual Functioning Questionnaire (higher scores indicates more ability or less difficulty in performing activities), and comparison of MNREAD changes (baseline to end of treatment) in maximum reading speed, critical print size, and reading acuity (higher number indicates lower visual acuity).
RESULTS: Of the 323 participants, 314 were male (97.2%); mean (SD) age, 80 (10.5) years. Basic LV was effective in improving visual ability. However, the LV rehabilitation group improved more in all visual function domains except mobility. Differences were 0.34-logit reading (95% CI, 0.0005 to 0.69; P = .05), 0.27-logit visual information (95% CI, 0.01 to 0.53; P = .04), 0.37-logit visual motor (95% CI, 0.08 to 0.66; P = .01), and 0.27-logit overall (95% CI, 0.06 to 0.49; P = .01). For MNREAD measures, there was more improvement in reading acuity (difference, -0.11 logMAR, 95% CI, -0.15 to -0.07; P < .001) and maximum reading speed (mean increase of 21.0 words/min; 95% CI, 6.4 to 35.5; P = .005), but not critical print size for the LV rehabilitation group (-0.06 logMAR; 95% CI, -0.12 to 0.002; P = .06). In stratified analyses, the LV rehabilitation group with BCDVAbetter-eye worse than 20/63 to 20/200 improved more in visual ability (reading, visual motor, and overall). Differences were 0.56-logit reading ability (95% CI, 0.08-1.04; P = .02), 0.40-logit visual motor (95% CI, 0.03-0.78; P = .04), 0.34-logit overall (95% CI, 0.06-0.62; P = .02). There was no significant difference between treatment groups for those with BCDVAbetter-eye of 20/50 to 20/63. CONCLUSIONS AND RELEVANCE: Both basic LV alone and combined with LV rehabilitation were effective, but the added LV rehabilitation increased the effect only for patients with BCDVAbetter-eye worse than 20/63 to 20/200. Basic LV services may be sufficient for most LV patients with mild visual impairment. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00958360.

Entities:  

Year:  2017        PMID: 27978569     DOI: 10.1001/jamaophthalmol.2016.4742

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  20 in total

1.  Disparities in Low-Vision Device Use Among Older US Medicare Recipients.

Authors:  Stephanie Choi; Brian C Stagg; Joshua R Ehrlich
Journal:  JAMA Ophthalmol       Date:  2018-12-01       Impact factor: 7.389

2.  Interventions Within the Scope of Occupational Therapy Practice to Improve Performance of Daily Activities for Older Adults With Low Vision: A Systematic Review.

Authors:  Chiung-Ju Liu; Megan C Chang
Journal:  Am J Occup Ther       Date:  2020 Jan/Feb

3.  Responsiveness of the Revised Low Vision Independence Measure (LVIM-R).

Authors:  Theresa M Smith; Ickpyo Hong; Timothy A Reistetter
Journal:  Am J Occup Ther       Date:  2020 Sep/Oct

4.  Rehabilitation Referral for Patients With Irreversible Vision Impairment Seen in a Public Safety-Net Eye Clinic.

Authors:  M Austin Coker; Carrie E Huisingh; Gerald McGwin; Russell W Read; Mark W Swanson; Laura E Dreer; Dawn K DeCarlo; Lindsay Gregg; Cynthia Owsley
Journal:  JAMA Ophthalmol       Date:  2018-04-01       Impact factor: 7.389

5.  Utilization and Abandonment of Low Vision Devices Prescribed on a Mobile Clinic.

Authors:  Micaela R Gobeille; Alexis G Malkin; Richard Jamara; Nicole C Ross
Journal:  Optom Vis Sci       Date:  2018-09       Impact factor: 1.973

6.  Bayesian adaptive assessment of the reading function for vision: The qReading method.

Authors:  Fang Hou; Yukai Zhao; Luis Andres Lesmes; Peter Bex; Deyue Yu; Zhong-Lin Lu
Journal:  J Vis       Date:  2018-09-04       Impact factor: 2.240

7.  The Michigan Vision-Related Anxiety Questionnaire: A Psychosocial Outcomes Measure for Inherited Retinal Degenerations.

Authors:  Gabrielle D Lacy; Maria Fernanda Abalem; Chris A Andrews; Rebhi Abuzaitoun; Lilia T Popova; Erin P Santos; Gina Yu; Hanan Y Rakine; Natasha Baig; Joshua R Ehrlich; Abigail T Fahim; Kari H Branham; Bonnielin K Swenor; Paul R Lichter; Gislin Dagnelie; Joan A Stelmack; David C Musch; K Thiran Jayasundera
Journal:  Am J Ophthalmol       Date:  2020-12-09       Impact factor: 5.258

8.  Low vision rehabilitation in improving the quality of life for patients with impaired vision: A systematic review and meta-analysis of 52 randomized clinical trials.

Authors:  Jianhua Liu; Jige Dong; Yaping Chen; Weidong Zhang; Shuai Tong; Jiangzhou Guo
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

9.  Head-mounted Visual Assistive Technology-related Quality of Life Changes after Telerehabilitation.

Authors:  Marie-Céline Lorenzini; Walter Wittich
Journal:  Optom Vis Sci       Date:  2021-06-01       Impact factor: 1.973

10.  Personalized Telerehabilitation for a Head-mounted Low Vision Aid: A Randomized Feasibility Study.

Authors:  Marie-Céline Lorenzini; Walter Wittich
Journal:  Optom Vis Sci       Date:  2021-06-01       Impact factor: 1.973

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