Quality of life and glaucoma

Guedes, Ricardo Augusto Paletta

doi:10.5935/0034-7280.20150028

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Thus, to effectively treat and manage glaucoma, a comprehensive understanding of the QoL of the patient, beyond clinical symptoms of the eye, is required. In recent years, the need to understand the fundamental disease processes, appreciate individual differences, and preserve high level of visual function while improving the quality of care has induced tremendous interest in studying PROs among glaucoma patients . PROs are fundamental to involving patients in their decision‐making process and for permitting an understanding of patient experiences, as we move from a “disease‐based” to “patient‐centered” model of care .…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the need to understand the fundamental disease processes, appreciate individual differences, and preserve high level of visual function while improving the quality of care has induced tremendous interest in studying PROs among glaucoma patients. [4][5][6][7][8][9][10] PROs are fundamental to involving patients in their decision-making process and for permitting an understanding of patient experiences, as we move from a "disease-based" to "patientcentered" model of care. 3,5 This allows for patients to be more involved in their care, avoid over-treatment, understand disease progression, improve their overall health, and reduce avoidable health care costs.…”

Section: Introductionmentioning

confidence: 99%

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Estimating patient‐reported outcomes for glaucoma management: A cross‐sectional study

Uruthiramoorthy

Hutnik

Speechley

et al. 2020

J Evidence Based Medicine

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Aim To identify important explanatory variables of four patient‐reported outcomes (PROs): vision‐related quality of life (VRQoL), preference‐based health‐related quality of life (HRQoL), social support and community integration and depressive symptoms. Methods Cross‐sectional study conducted at one ophthalmic practice in a hospital setting. Patients with a diagnosis of glaucoma or glaucoma suspect (n = 250) were sequentially recruited. Patients with language restrictions were excluded. Data were collected through medical chart reviews and face‐to‐face interviews. The PROs were measured using validated tools. Candidate models for predicting PROs from explanatory variables were constructed using linear and logistic regression, as well as classification and regression trees. Through leave‐one‐out cross‐validation, the performance of each model was assessed in terms of mean absolute error. Results Use of mobility aids, best corrected visual acuity (BCVA), income, and living arrangements were most predictive of VRQoL, social support, and community integration. Use of mobility aids was also most predictive of the presence of depressive symptoms, and BCVA with preference‐based HRQoL. Conclusion Although promising associations were discovered, the models based on commonly collected clinical variables had limited ability to accurately predict individual patient PROs. Thus, although this study identifies clinical and demographic variables that are most predictive of PROs, routine collection of PROs in clinical practice may be necessary to obtain a complete picture of the quality of life of glaucoma patients.

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Section: Introductionmentioning

confidence: 99%