Optimization of cataract surgery follow-up: A standard set of questions can predict unexpected management changes at postoperative week one.

Published online

Journal Article

PURPOSE: There is limited evidence to inform the optimal follow-up schedule after cataract surgery. This study aims to determine whether a standardized question set can predict unexpected management changes (UMCs) at the postoperative week one (POW1) timepoint. SETTING: Massachusetts Eye and Ear, Harvard Medical School. DESIGN: Prospective cohort study. METHODS: Two-hundred-and-fifty-four consecutive phacoemulsification cases having attended an examination between postoperative days 5-14. A set of 7 'Yes' or 'No' questions were administered to all participants by a technician at the POW1 visit. Patient answers along with perioperative patient information were recorded and analyzed. Outcomes were the incidence of UMCs at POW1. RESULTS: The incidence of UMCs was zero in uneventful cataract cases with unremarkable history and normal postoperative day one exam if no positive answers were given with the question set demonstrating 100% sensitivity (p<0.0001). A test version with 5 questions was equally sensitive in detecting UMCs at POW1 after cataract surgery. CONCLUSION: In routine cataract cases with no positive answers to the current set of clinical questions, a POW1 visit is unlikely to result in a management change. This result offers the opportunity for eye care providers to risk-stratify patients who have had cataract surgery and individualize follow-up.

Full Text

Duke Authors

Cited Authors

  • Moustafa, GA; Borkar, DS; Borboli-Gerogiannis, S; Greenstein, SH; Lorch, AC; Vasan, RA; Kloek, CE

Published Date

  • 2019

Published In

Volume / Issue

  • 14 / 9

Start / End Page

  • e0221243 -

PubMed ID

  • 31536500

Pubmed Central ID

  • 31536500

Electronic International Standard Serial Number (EISSN)

  • 1932-6203

Digital Object Identifier (DOI)

  • 10.1371/journal.pone.0221243

Language

  • eng

Conference Location

  • United States