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Patients' Expectations in Lens Extraction Surgery: a Systematic Review
Eirini-Kanella Panagiotopoulou1, Panagiota Ntonti2, Eleni Vlachou2
1Department of Ophthalmology, University Hospital of Alexandroupolis, Dragana, Alexandroupolis, Greece. eipanagi@med.duth.gr.
Summary
Patient satisfaction after cataract surgery depends on both surgical outcomes and preoperative expectations. Understanding factors like health literacy and age can help surgeons manage patient expectations for better results.
Area of Science:
- Ophthalmology
- Patient-Reported Outcomes
Background:
- Cataract surgery often improves visual acuity but doesn't always lead to patient satisfaction.
- Preoperative patient expectations are hypothesized to significantly influence postoperative perceptions of visual outcomes.
Purpose of the Study:
- To determine the relationship between preoperative expectations and postoperative perception of visual outcomes after cataract surgery.
- To identify predictors of patient satisfaction by understanding factors influencing preoperative expectations.
Main Methods:
- A systematic review of recent literature was conducted.
- Databases searched included PubMed, Medline, Google Scholar, American Academy of Ophthalmology, Nature, and Springer.
- Data from 14 descriptive and 7 comparative studies were included in this narrative review.
Main Results:
- A significant number of studies evaluate patient expectations versus postoperative perceptions.
- Patient satisfaction is influenced by both the actual surgical outcome and preoperative expectations.
- Factors such as comorbidity, unrealistic expectations, desire for spectacle independence, surgery cost, prior surgery, health literacy, and age impact expectations and satisfaction.
Conclusions:
- Preoperative patient expectations are a crucial factor in determining satisfaction after cataract surgery.
- Surgeons can improve patient satisfaction by addressing and managing expectations through comprehensive preoperative counseling.
- Considering factors influencing expectations can lead to more accurate predictions of patient satisfaction.