Table 4

Predictors of healthcare experiences in comparable questions from the 1999 and 2013 surveys; unadjusted (univariable analyses) and multivariable analysis adjusting for all other predictors

PredictorInterested in you as a person?† (n=2276)Given name of condition?‡ (n=2315)Overall satisfaction?§ (n=2273)
Unadjusted OR (95% CI)Adjusted OR (95% CI)Unadjusted OR (95% CI)Adjusted OR (95% CI)Unadjusted OR (95% CI)Adjusted OR (95% CI)
Sample (1999 or 2013)
 19991.001.001.001.001.001.00
 20132.80 (2.35 to 3.33)***2.75 (2.28 to 3.31)***2.92 (2.29 to 3.73)***2.78 (2.14 to 3.61)***2.00 (1.67 to 2.40)***1.90 (1.56 to 2.31)***
Gender
 Male1.001.001.001.001.001.00
 Female0.73 (0.61 to 0.87)**0.71 (0.59 to 0.86)***0.80 (0.63 to 1.03)0.77 (0.60 to 1.00)*0.68 (0.55 to 0.82)***0.67 (0.55 to 0.82)***
Age at survey completion¶1.02 (1.01 to 1.03)**1.01 (1.00 to 1.02)0.99 (0.97 to 1.00)0.98 (0.97 to 1.00)*1.03 (1.01 to 1.04)***1.02 (1.01 to 1.04)***
Registration status
Contrast 1
 Not registered1.001.001.001.001.001.00
 Registered as SI or SSI0.50 (0.36 to 0.70)***0.95 (0.64 to 1.42)0.30 (0.19 to 0.47)***0.60 (0.36 to 1.02)0.62 (0.44 to 0.89)**0.89 (0.59 to 1.35)
Contrast 2
 Registered SI1.001.001.001.001.001.00
 Registered as SSI0.87 (0.68 to 1.10)0.97 (0.75 to 1.25)0.65 (0.48 to 0.88)**0.72 (0.53 to 0.97)*0.70 (0.55 to 0.91)**0.74 (0.57 to 0.96)
Number of eyes affected
 One eye affected1.001.001.001.001.001.00
 Both eyes affected0.78 (0.63 to 0.97)*0.77 (0.60 to 0.97)*0.78 (0.58 to 1.06)0.92 (0.66 to 1.28)0.78 (0.62 to 0.99)*0.74 (0.58 to 0.96)*
Adjusted model statisticsχ2 (6)=160.91, p<0.001***χ2 (6)=100.80, p<0.001***χ2(6)=97.05, p<0.001***
Adjusted model Nagelkerke's R2††0.090.070.06
  • *p<0.05, **p<0.01, ***p<0.001

  • †“Did you feel that this healthcare professional (who first diagnosed your macular condition), was interested in you as a person?” (Response was yes =1, no =0 for this and all questions below.)

  • ‡“Were you given the name of your condition at the time of diagnosis?”

  • §“Overall, did you feel that the diagnostic consultation with this healthcare professional was satisfactory?”

  • ¶In logistic regression, for continuous variables such as age at survey completion, an OR over 1 indicates increasing likelihood of the outcome as the predictor increases (ie, as age increases).

  • ††Nagelkerke's R2 is a measure of model fit, where 0 indicates the predictors poorly predict the outcome and 1 is where the model predicts the outcome perfectly.

  • SI, sight impaired; SSI, severely sight impaired.