The impact of COVID-19 "Unlock-I" on L V Prasad Eye Institute Network in Southern India.

Indian J Ophthalmol

Allen Foster Community Eye Health Research Centre, Gullapalli Pratibha Rao International Centre for Advancement of Rural Eyecare; Brien Holden Eye Research Centre, L V Prasad Eye Institute, Hyderabad, India; School of Optometry and Vision Science, University of New South Wales, Sydney, Australia.

Published: March 2021

Purpose: The aim of this study was to report on the impact of COVID-19 "Unlock-I" on Network of Eye Centers in Southern India.

Methods: Our eye health pyramid model has a network of eye care centers in four Indian states. The network constitutes a center of excellence (CoE) at the apex followed by tertiary care centers (TC) located in urban areas, secondary care centers (SC), and primary care vision centers (VC) at the base located in rural areas. We collected data on patients seen between June 2019 and June 2020, which included age, gender, total patients seen (new or follow-up), and socioeconomic status (paying and nonpaying). A comparative study was done between the data for outpatients and surgeries performed pre-COVID-19 and during Unlock-I in COVID-19 period.

Results: There was a 36.71% reduction in the overall outpatients seen in June 2020 (n = 83,161) compared to June 2019 (n = 131,395). The reduction was variable across different levels of the pyramid with the highest reduction in CoE (54.18%), followed by TCs (40.37%), SCs (30.49%) and VCs (18.85%). Similar pattern was seen for new paying patients with the highest reduction in CoE (54.22%), followed by TCs (25.86%) and SCs (4.9%). A 43.67% reduction was noted in the surgeries performed in June 2020 (n = 6,168), compared to June 2019 (n = 10,950). Reduction in paying services was highest in CoE (47.52%), followed by TCs (15.17%) and SCs (4.87%). There was no significant change in the uptake of services by gender in the network.

Conclusion: Highest reduction in patient footfalls during "Unlock-1" was noted in urban centers. Going forward, there is a need to develop strategies to provide eye care closer to the doorsteps.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7942085PMC
http://dx.doi.org/10.4103/ijo.IJO_3143_20DOI Listing

Publication Analysis

Top Keywords

care centers
12
june 2019
12
june 2020
12
highest reduction
12
impact covid-19
8
covid-19 "unlock-i"
8
network eye
8
eye care
8
surgeries performed
8
compared june
8

Similar Publications

Who is coming in? Evaluation of physician performance within multi-physician emergency departments.

Am J Emerg Med

January 2025

Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.

Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.

Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.

View Article and Find Full Text PDF

Visibility, Physical Work Environment, and Stress in ICU Nurses.

J Nurs Adm

December 2024

Author Affiliations: Research Associate (Dr Keys), The Center for Health Design, Concord, California; National Senior Director (Dr Fineout-Overholt), Evidence-Based Practice and Implementation Science, at Ascension in St. Louis, MO.

Objective: Relationships among coworker and patient visibility, reactions to physical work environment, and work stress in ICU nurses are explored.

Background: Millions of dollars are invested annually in the building or remodeling of ICUs, yet there is a gap in understanding relationships between the physical layout of nursing units and work stress.

Methods: Using a cross-sectional, correlational, exploratory, predictive design, relationships among variables were studied in a diverse sample of ICU nurses.

View Article and Find Full Text PDF

This systematic review aimed to identify and describe best practice for the intraoperative anesthetic management of patients undergoing emergent/urgent decompressive craniotomy or craniectomy for any indication. The PubMed, Scopus, EMBASE, and Cochrane databases were searched for articles related to urgent/emergent craniotomy/craniectomy for intracranial hypertension or brain herniation. Only articles focusing on intraoperative anesthetic management were included; those investigating surgical or intensive care unit management were excluded.

View Article and Find Full Text PDF

Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensing Examination (CNNLE) presents unique challenges for LLMs due to its requirement for both deep domain-specific nursing knowledge and the ability to make complex clinical decisions, which differentiates it from more general medical examinations. However, their potential application in the CNNLE remains unexplored.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!