Mariam Salman1, Chris Andrews1, Michele Heisler2, Deborah Darnley-Fisch3, Paula Anne Newman-Casey4. 1. Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA. 2. Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA. 3. Department of Ophthalmology and Visual Sciences, Henry Ford Health System, Detroit, Michigan, USA. 4. Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: panewman@med.umich.edu.
Abstract
PURPOSE: To evaluate the association between baseline psychosocial milieu and subsequent glaucoma medication adherence among participants in the Support, Educate, Empower (SEE) personalized glaucoma coaching program pilot study. DESIGN: Prospective cohort study. METHODS: Participants (University of Michigan glaucoma patients aged ≥40 years, taking ≥1 glaucoma medication, who self-reported poor adherence) completed a baseline survey that assessed the following: (1) demographics; (2) social network; (3) perceived stress; (4) consideration of future consequences; (5) glaucoma-related distress; and (6) social support. Medication adherence was then monitored electronically for 3 months and the percentage of prescribed doses taken was calculated. The relationship between baseline factors and medication adherence was assessed using univariate and multivariate analysis. Main outcome measure was median percent adherence over 3 months. RESULTS: Of the 95 study participants, 63% had graduated from college, 55% were white, 35% were African-American, and 97% had insurance. Median adherence over 3 months was 74% ± 21% (±standard deviation, SD). Higher income and more education were significantly associated with better adherence (P < .0001, P = .03). Glaucoma-related distress (mean score 5.6, SD = 3.0) was inversely associated with medication adherence on univariate (P < .0001) and multivariate analysis (P = .0002). Every 1-point increase in glaucoma-related distress score predicted a 2.4-percentage-point decrease in medication adherence. CONCLUSIONS: Lower income, lower educational attainment, and a higher level of glaucoma-related distress all predicted lower adherence to glaucoma medications. Additional glaucoma self-management support resources should be directed toward patients with such risk factors for poor adherence.
PURPOSE: To evaluate the association between baseline psychosocial milieu and subsequent glaucoma medication adherence among participants in the Support, Educate, Empower (SEE) personalized glaucoma coaching program pilot study. DESIGN: Prospective cohort study. METHODS:Participants (University of Michigan glaucomapatients aged ≥40 years, taking ≥1 glaucoma medication, who self-reported poor adherence) completed a baseline survey that assessed the following: (1) demographics; (2) social network; (3) perceived stress; (4) consideration of future consequences; (5) glaucoma-related distress; and (6) social support. Medication adherence was then monitored electronically for 3 months and the percentage of prescribed doses taken was calculated. The relationship between baseline factors and medication adherence was assessed using univariate and multivariate analysis. Main outcome measure was median percent adherence over 3 months. RESULTS: Of the 95 study participants, 63% had graduated from college, 55% were white, 35% were African-American, and 97% had insurance. Median adherence over 3 months was 74% ± 21% (±standard deviation, SD). Higher income and more education were significantly associated with better adherence (P < .0001, P = .03). Glaucoma-related distress (mean score 5.6, SD = 3.0) was inversely associated with medication adherence on univariate (P < .0001) and multivariate analysis (P = .0002). Every 1-point increase in glaucoma-related distress score predicted a 2.4-percentage-point decrease in medication adherence. CONCLUSIONS: Lower income, lower educational attainment, and a higher level of glaucoma-related distress all predicted lower adherence to glaucoma medications. Additional glaucoma self-management support resources should be directed toward patients with such risk factors for poor adherence.
Authors: Anjali U Pandit; Stacy C Bailey; Laura M Curtis; Hilary K Seligman; Terry C Davis; Ruth M Parker; Dean Schillinger; Darren DeWalt; David Fleming; David C Mohr; Michael S Wolf Journal: J Epidemiol Community Health Date: 2014-01-31 Impact factor: 3.710
Authors: G N Subathra; Sharmila R Rajendrababu; Vijayalakshmi A Senthilkumar; Iswarya Mani; B Udayakumar Journal: Indian J Ophthalmol Date: 2021-05 Impact factor: 1.848
Authors: David J Miller; Leslie M Niziol; Angela R Elam; Michele Heisler; Paul P Lee; Kenneth Resnicow; David C Musch; Deborah Darnley-Fisch; Jamie Mitchell; Paula Anne Newman-Casey Journal: Ophthalmol Glaucoma Date: 2021-06-30