July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Characteristics of cataract surgery patients influencing Press Ganey patient satisfaction scores
Author Affiliations & Notes
  • Michele Danielle Lee
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Stephanie Chen
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Tiffany Ann Chen
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Ann Caroline Fisher
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Charles C Lin
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Kuldev Singh
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Robert Chang
    Ophthalmology, Stanford University, Palo Alto, California, United States
  • Footnotes
    Commercial Relationships   Michele Lee, None; Stephanie Chen, None; Tiffany Chen, None; Ann Fisher, None; Charles Lin, None; Kuldev Singh, None; Robert Chang, None
  • Footnotes
    Support  Research to Prevent Blindness (institutional support)
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 4782. doi:
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    • Get Citation

      Michele Danielle Lee, Stephanie Chen, Tiffany Ann Chen, Ann Caroline Fisher, Charles C Lin, Kuldev Singh, Robert Chang; Characteristics of cataract surgery patients influencing Press Ganey patient satisfaction scores. Invest. Ophthalmol. Vis. Sci. 2018;59(9):4782.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To determine factors that influence low patient satisfaction scores in individuals who have recently undergone cataract surgery.

Methods : Selected questions from the Press Ganey survey and the National Eye Institute Visual Function Questionnaire 25 (VFQ-25) were administered after the clinic visit to postoperative cataract surgery patients who were three weeks to one year out from surgery. Frequency tables and student t-tests were used to determine correlated factors of a score below 5 (“Very Good”) for the survey question “Likelihood of recommending our practice to others,” a surrogate for overall patient satisfaction. A logistical regression was used to adjust for potentially confounding variables.

Results : 143 subjects were recruited from four providers; 57 patients were male (39.8%) and mean age was 70.0 ± 11.6 years. Five possible correlates of lower patient satisfaction scores were identified using simple tests of association: self-reported ethnicity of “Asian or Pacific Islander,” female sex, subjective eye pain greater than “none,” and presence of intraoperative and/or postoperative complications. There was a statistically significant association between a non-5 patient satisfaction score and self-reported ethnicity of “Asian or Pacific Islander” compared to other ethnicities after adjustment for potential confounding variables (OR 2.6, 95% CI – 1.1 to 6.3, P = 0.027). Factors such as postoperative vision, wait times, time with the provider, insurance status, age, days since the first visit with provider, and trainee involvement in the clinic encounter and/or the surgery were not associated with a non-5 patient satisfaction score.

Conclusions : In postoperative cataract patients, “Asian and Pacific Islander” ethnicity was associated, after adjustment for potential confounding variables, with a lower overall Press Ganey patient satisfaction score.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

Multivariate logistical regression using possible predictors of a non-5 score for “Likelihood of recommending our practice to others." Odds Ratios (OR) were adjusted based on possible confounders such as age, sex, surgeon, total clinic visit time, and subjective vision to calculate the adjusted odds ratio for each predictor. These values were fully adjusted for other predictors in the table in the full model. Confidence intervals are included in parentheses.

Multivariate logistical regression using possible predictors of a non-5 score for “Likelihood of recommending our practice to others." Odds Ratios (OR) were adjusted based on possible confounders such as age, sex, surgeon, total clinic visit time, and subjective vision to calculate the adjusted odds ratio for each predictor. These values were fully adjusted for other predictors in the table in the full model. Confidence intervals are included in parentheses.

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