High vision-related quality of life indices reduce the odds of depressive symptoms in aged care facilities.

Objective: To examine the association between vision-related quality of life (VRQoL) and depressive symptoms in residents with vision impairment (VI) in aged care facilities.Methods: In this cross-sectional study using baseline data from a cluster-randomized controlled trial (ACTRN12615000587505) assessing the effectiveness of a novel eye care model, 186 English-speaking residents (mean age 84 years, SD[standard deviation] = 8.7; 33.9% male) with VI and moderate cognitive functioning or better were recruited from 38 facilities across Victoria, Australia. VRQoL was measured using Rasch-transformed scores from the 'Reading'; 'Mobility', and 'Emotional' scales of the Impact of Vision Impairment for Residential Care (IVI-RC) questionnaire. Outcomes were presence of depressive symptoms (binary score: Cornell Scale for Depression in Dementia [CSDD] > 0 vs. CSDD = 0) and severity of depressive symptoms (continuous CSDD score; sample range 1-21). Independent associations with presence and severity of depressive symptoms were examined using zero-inflated logistic and linear multivariable models, respectively.Results: Of the 186 participants, n = 79 (42.5%), n = 94 (50.5%) and n = 13 (7%) reported no, mild (scores 1-7), and clinically significant depressive symptoms (score ≥8), respectively. Better vision-related Mobility (OR = 0.64; 95% CI: 0.44, 0.95, p = 0.02) was associated with reduced odds of depressive symptoms. With every unit improvement in vision-related Reading (ß=-0.48; 95% CI: -0.94, -0.01, p = 0.04) and Emotional (ß=-0.56; 95% CI: -1.09, -0.02, p = 0.04), severity of depressive symptoms reduced, independent of sociodemographic and medical issues.Conclusion: Better VRQoL was independently associated with reduced depressive symptoms. Supporting older people in aged care to maintain optimal levels of vision-specific functioning, independence, and emotional well-being may protect their mental health.

Optimizing network connectivity for mobile health technologies in sub-Saharan Africa.

BACKGROUND: Mobile health (mHealth) technologies hold incredible promise to improve healthcare delivery in resource-limited settings. Network reliability across large catchment areas can be a major challenge. We performed an analysis of network failure frequency as part of a study of real-time adherence monitoring in rural Uganda. We hypothesized that the addition of short messaging service (SMS+GPRS) to the standard cellular network modality (GPRS) would reduce network disruptions and improve transmission of data. METHODS: Participants were enrolled in a study of real-time adherence monitoring in southwest Uganda. In June 2011, we began using Wisepill devices that transmit data each time the pill bottle is opened. We defined network failures as medication interruptions of >48 hours duration that were transmitted when network connectivity was re-established. During the course of the study, we upgraded devices from GPRS to GPRS+SMS compatibility. We compared network failure rates between GPRS and GPRS+SMS periods and created geospatial maps to graphically demonstrate patterns of connectivity. RESULTS: One hundred fifty-seven participants met inclusion criteria of seven days of SMS and seven days of SMS+GPRS observation time. Seventy-three percent were female, median age was 40 years (IQR 33-46), 39% reported >1-hour travel time to clinic and 17% had home electricity. One hundred one had GPS coordinates recorded and were included in the geospatial maps. The median number of network failures per person-month for the GPRS and GPRS+SMS modalities were 1.5 (IQR 1.0-2.2) and 0.3 (IQR 0-0.9) respectively, (mean difference 1.2, 95%CI 1.0-1.3, p-value<0.0001). Improvements in network connectivity were notable throughout the region. Study costs increased by approximately $1USD per person-month. CONCLUSIONS: Addition of SMS to standard GPRS cellular network connectivity can significantly reduce network connection failures for mobile health applications in remote areas. Projects depending on mobile health data in resource-limited settings should consider this upgrade to optimize mHealth applications.