Association of Psychosocial Factors with Activation Among Patients with Glaucoma.

OBJECTIVE: To investigate the association of psychosocial factors with health self-management behaviors and beliefs among patients with primary open-angle glaucoma (POAG). DESIGN: Prospective cross-sectional cohort study. PARTICIPANTS: Patients (n = 202) with mild, moderate, or advanced bilateral POAG. METHODS: Patients (N = 1164) were identified from electronic medical records at a single academic medical center. Letters soliciting participation were mailed to 591 randomly selected potential participants. Psychometric measures and a social determinants of health questionnaire were administered by phone to 202 study participants. MAIN OUTCOME MEASURES: The National Eye Institute Visual Function Questionnaire-8 (NEI-VFQ), the Multidimensional Health Locus of Control (MHLC), the Perceived Medical Condition Self-Management Scale-4, the Patient Health Questionnaire-9 (PHQ), the Patient Activation Measure-13 (PAM), a health literacy question, and a social determinants of health questionnaire. RESULTS: For each increase in level of POAG severity, there was a decrease in mean NEI-VFQ score (P < 0.001). For each unit increase in NEI-VFQ item 1, self-rated vision, mean PAM score increased (R2 = 5.3%; P = 0.001; 95% confidence interval [CI], 0.077-0.276). For each unit increase in "Internal" on the MHLC, mean PAM score increased (R2 = 19.3%; 95% CI, 0.649-1.166; P < 0.001). For each unit increase in "Doctors" on the MHLC, mean PAM score increased (R2 = 11.0%; 95% CI, 1.555-3.606; P < 0.001). For each unit increase in "Chance" on the MHLC, mean PAM score decreased (R2 = 2.6%; 95% CI, -0.664 to -0.051; P = 0.023). On multivariate analysis, adjusting for age, sex and race, for each unit increase in PHQ, mean PAM score decreased (95% CI, 0.061-1.35; P = 0.032); for each unit increase in MHLC "Doctors", mean PAM score increased (95% CI, -1.448 to 3.453; P < 0.001); for each unit increase in MHLC "Internal", mean PAM score increased (95% CI, 0.639-1.137; P < 0.001); for each unit increase in MHLC "Chance", mean PAM score decreased (95% CI, -0.685 to -0.098; P = 0.009). CONCLUSIONS: We identified modifiable behavioral factors that could increase patients' self-perceived ability and confidence to manage their own eye care. Locus of control (MHLC), level of depression (PHQ), and self-rated functional vision (NEI-VFQ) were each associated with patient behaviors, attitudes, and beliefs needed for health self-management (activation, assessed by the PAM) and may be important determinants of adherence behaviors. Targeting change in patients' care beliefs and behaviors may improve activation and treatment outcomes. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Geographic and socioeconomic access disparities to Phase 3 clinical trials in ophthalmology in the United States.

BACKGROUND/OBJECTIVE: To identify geographic and socioeconomic variables associated with residential proximity to Phase 3 ophthalmology clinical trial sites. METHODS: The geographic location of clinical trial sites for Phase 3 clinical trials in ophthalmology was identified using ClinicalTrials.gov. Driving time from each United States (US) census tract centroid to nearest clinical trial site was calculated using real traffic patterns. Travel data were crosslinked to census-tract level public datasets from United States Census Bureau American Community Survey (ACS). Cross-sectional multivariable regression was used to identify associations between census-tract sociodemographic factors and driving time (>60 min) from each census tract centroid to the nearest clinical trial site. RESULTS: There were 2330 unique clinical trial sites and 71,897 census tracts. Shortest median time was to retina sites [33.7 min (18.7, 70.1 min)]. Longest median time was to neuro-ophthalmology sites [119.8 min (48.7, 240.4 min)]. Driving >60 min was associated with rural tracts [adjusted odds ratio (aOR) 7.60; 95% CI (5.66-10.20), p < 0.0001]; Midwest [aOR 1.84(1.15-2.96), p = 0.01], South [aOR 2.57 (1.38-4.79), p < 0.01], and West [aOR 2.52 (1.52-4.17), p < 0.001] v. Northeast; and tracts with higher visual impairment [aOR 1.07 (1.03-1.10), p < 0.001)]; higher poverty levels [4th v.1st Quartile of population below poverty, aOR 2.26 (1.72-2.98), p < 0.0001]; and lower education levels [high school v. Bachelor's degree or higher aOR 1.02 (1.00-1.03), p = 0.0072]. CONCLUSIONS: There are significant geographic and socioeconomic disparities in access to ophthalmology clinical trial sites for rural, non-Northeastern, poorer, and lower education level census tracts, and for census tracts with higher levels of self-reported visual impairment.

Sociodemographic and Economic Factors in Outcomes of Tube Shunts for Neovascular Glaucoma.

IMPORTANCE: Few studies have analyzed associations between sociodemographic factors and neovascular glaucoma (NVG) outcomes. AIM AND BACKGROUND: To determine the potential impact of sociodemographic and economic factors on the NVG tube shunt surgery outcomes. DESIGN: Retrospective, single-center, comparative case series. PARTICIPANTS: Consecutive patients who underwent tube shunt surgery for NVG and had ≥6 months of follow-up. MATERIALS AND METHODS: Regional average adjusted gross income (AGI) was determined by cross-referencing self-reported residential zip codes with average AGI per zip code supplied by the Internal Revenue Service. Two groups were created: (1) lower-income: individuals from neighborhoods with the lowest 10% of AGI (near the United States poverty line), (2) higher-income: the remaining 90% of individuals. MAIN OUTCOME MEASURES: Visual acuity (VA), intraocular pressure (IOP), and glaucoma medication number at 6 months and the most recent visit. RESULTS: The mean annual AGI in the higher-income group (130 patients) was $69,596 ± 39,700 and the lower-income group (16 patients) was $27,487 ± 1,600 (p < 0.001). Age, sex, distance to the clinic, language, and all baseline clinical variables (including VA and IOP) were comparable between groups. Lower-income was associated with non-white race (81.3 vs 52.3%; p = 0.024). At month 6, VA in the lower-income group [median: HM (20/70-NLP)] was worse than the higher-income group [median: CF (20/25-NLP)] (log MAR VA: 2.32 ± 0.8 vs 1.77 ± 1.1; p = 0.02); these trends persisted through the most recent visit (p = 0.043). Follow-up IOP and medications were similar between groups. CONCLUSIONS AND RELEVANCE: Lower-income may be associated with worse VA outcomes following NVG tube shunt surgery. HOW TO CITE THIS ARTICLE: Shalaby WS, Arbabi A, Myers JS, et al. Sociodemographic and Economic Factors in Outcomes of Tube Shunts for Neovascular Glaucoma. J Curr Glaucoma Pract 2021;15(2):70-77.