Dataset Information

Assessment of Eye Disease and Visual Impairment in the Nursing Home Population Using Mobile Health Technology.

ABSTRACT: BACKGROUND AND OBJECTIVE:To characterize the burden of eye disease and the utility of teleophthalmology in nursing home patients, a population with ophthalmic needs not commensurate with care received. PATIENTS AND METHODS:Informed consent was obtained from 78 California Bay Area skilled nursing facility patients. Near visual acuity (VA) and anterior/posterior segment photographs were taken with a smartphone-based VA app and ophthalmic camera system. The Nursing Home Vision-Targeted Health-Related Quality of Life questionnaire was also administered. Risk factors for visual impairment were assessed. Institutional review board approval was obtained from Stanford University. RESULTS:Cataracts (51%), diabetic retinopathy (DR) (12%), optic neuropathy (12%), and age-related macular degeneration (AMD) (10%) were common findings; 11.7% had other referral-warranted findings. AMD and DR correlated with a higher risk of poor VA, with adjusted odds ratios of 22 (P = .01) and 43 (P = .004). CONCLUSIONS:This study demonstrated a high prevalence of poor VA and ophthalmic disease in the nursing home population impacting quality of life. Smartphone-based teleophthalmology platforms have the potential to increase access to eye care for nursing home patients. [Ophthalmic Surg Lasers Imaging Retina. 2020;51:262-270.].

SUBMITTER: Lai KY

PROVIDER: S-EPMC7408519 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Assessment of Eye Disease and Visual Impairment in the Nursing Home Population Using Mobile Health Technology.

Lai Krystal Y KY Pathipati Mythili P MP Blumenkranz Mark S MS Leung Loh-Shan LS Moshfeghi Darius M DM Toy Brian C BC Myung David D

Ophthalmic surgery, lasers & imaging retina 20200501 5

<h4>Background and objective</h4>To characterize the burden of eye disease and the utility of teleophthalmology in nursing home patients, a population with ophthalmic needs not commensurate with care received.<h4>Patients and methods</h4>Informed consent was obtained from 78 California Bay Area skilled nursing facility patients. Near visual acuity (VA) and anterior/posterior segment photographs were taken with a smartphone-based VA app and ophthalmic camera system. The Nursing Home Vision-Target ...[more]

PMID: 32511729

Similar Datasets

Project description:ObjectiveTo determine the prevalence, causes, and risk factors of blindness and visual impairment among persons aged 40 years or older residing in an urban West African location.DesignPopulation-based, cross-sectional study.ParticipantsA total of 5603 participants residing in Tema, Ghana.MethodsProportionate random cluster sampling was used to select participants aged 40 years or older living in the city of Tema. Presenting distance visual acuity (VA) was measured at 4 and 1 m using a reduced logarithm of the minimum angle of resolution tumbling E chart and then with trial frame based on autorefraction. A screening examination was performed in the field on all participants. Complete clinical examination by an ophthalmologist was performed on participants with best-corrected visual acuity (BCVA) <20/40 or failure of any screening test.Main outcome measuresAge- and gender-specific prevalence, causes, and risk factors for blindness (VA of <20/400 in the better eye, World Health Organization definition) and visual impairment (VA of <20/40 in the better eye).ResultsA total of 6806 eligible participants were identified, of whom 5603 (82.3%) participated in the study. The mean age (± standard deviation) of participants was 52.7 ± 1 0.9 years. The prevalence of visual impairment and blindness was 17.1% and 1.2%, respectively. After refraction and spectacle correction, the prevalence of visual impairment and blindness decreased to 6.7% and 0.75%, respectively, suggesting that refractive error is the major correctable cause of visual impairment and blindness in this population. Of 65 subjects with a VA <20/400, 22 (34%) were correctable with refraction, 21 to the level of visual impairment and 1 to normal. The remaining 43 patients (66%) had underlying pathology (cataract in 19, glaucoma in 9, nonglaucomatous optic neuropathy in 3, corneal opacities in 3, retinal disease in 3, and undetermined in 5) that prevented refractive correction. Increased age was a significant risk factor for blindness and visual impairment.ConclusionsThere is a high prevalence of blindness and visual impairment among those aged ? 40 years in Tema, Ghana, West Africa. Refractive error is a major cause of blindness and visual impairment in this population, followed by cataract, glaucoma, and corneal disease.

Project description:Rationale & objectiveDigital and mobile health (mHealth) technologies improve patient-provider communication and increase information accessibility. We assessed the use of technology, attitudes toward using mHealth technologies, and proficiency in using mHealth technologies among individuals with chronic kidney disease (CKD).Study designCross-sectional survey with open text responses.Setting & participantsChronic Renal Insufficiency Cohort (CRIC) Study participants who completed current use and interest in using mHealth technologies questionnaires and the eHealth literacy Survey (eHEALS).ExposureParticipant characteristics.OutcomesUse of technology (ie, internet, email, smartphone, and mHealth applications [apps]), interest in future mHealth use, and proficiency in using digital and mHealth technologies, or eHealth literacy, determined by eHEALS score.Analytical approachPoisson regression and a qualitative content analysis of open-ended responses.ResultsStudy participants (n = 932) had a mean age of 68 years old and an estimated glomerular filtration rate (eGFR) of 54 mL/min/1.73 m2, and 59% were male. Approximately 70% reported current use of internet, email, and smartphones, and 35% used mHealth apps; only 27% had adequate eHealth literacy (eHEALS score ≥ 32). Participants <65 years of age (vs. ≥65), with more education, higher income, better cognition, and adequate health literacy reported more use of technology, and greater interest in using technologies. Participants of White (vs. non-White) race reported more use of internet and email but less interest in future use of mHealth. Younger age, higher annual income, and greater disease self-efficacy were associated with adequate eHealth literacy. Three themes regarding interest in using digital and mHealth technologies emerged: willingness, concerns, and barriers.LimitationsResidual confounding, ascertainment bias.ConclusionsMany individuals with CKD currently use the internet and smartphones and are interested in using mHealth in the future, but few use mHealth apps or have adequate eHealth literacy. mHealth technologies present an opportunity to engage individuals with CKD, especially members of racial or ethnic minority groups because those groups reported greater interest in using mHealth technology than the nonminority population. Further research is needed to identify strategies to overcome inadequate eHealth literacy.

Project description:BackgroundUnique characteristics of nursing homes (NHs) contribute to high rates of inappropriate antibiotic use for asymptomatic bacteriuria (ASB), a benign condition. A mobile clinical decision support system (CDSS) may support NH staff in differentiating urinary tract infections (UTI) from ASB and reducing antibiotic days.ObjectivesWe used Goal-Directed Design to: 1) Characterize information needs for UTI identification and management in NHs; 2) Develop UTI Decide, a mobile CDSS prototype informed by personas and scenarios of use constructed from Aim 1 findings; 3) Evaluate the UTI Decide prototype with NH staff.MethodsFocus groups were conducted with providers and nurses in NHs in Denver, Colorado (n= 24). Qualitative descriptive analysis was applied to focus group transcripts to identify information needs and themes related to mobile clinical decision support for UTI identification and management. Personas representing typical end users were developed; typical clinical context scenarios were constructed using information needs as goals. Usability testing was performed using cognitive walk-throughs and a think-aloud protocol.ResultsFour information needs were identified including guidance regarding resident assessment; communication with providers; care planning; and urine culture interpretation. Design of a web-based application incorporating a published decision support algorithm for evidence-based UTI diagnoses proceeded with a focus on nursing information needs during resident assessment and communication with providers. Certified nursing assistant (CNA) and registered nurse (RN) personas were constructed in 4 context scenarios with associated key path scenarios. After field testing, a high fidelity prototype of UTI Decide was completed and evaluated by potential end users. Design recommendations and content recommendations were elicited.ConclusionsGoal-Directed Design informed the development of a mobile CDSS supporting participant-identified information needs for UTI assessment and communication in NHs. Future work will include iterative deployment and evaluation of UTI Decide in NHs to decrease inappropriate use of antibiotics for suspected UTI.

Dataset Information

Assessment of Eye Disease and Visual Impairment in the Nursing Home Population Using Mobile Health Technology.

Publications

Assessment of Eye Disease and Visual Impairment in the Nursing Home Population Using Mobile Health Technology.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets