Rasch analysis, employing the Andrich rating scale model,
29,30 was used to estimate four different visual ability measures, one from subjects' difficulty ratings of AI goals and three from subjects' difficulty ratings of subsets of AI tasks (reading, inside-the-home and outside-the-home tasks). Previous studies have shown that two independent visual function factors underlie visual ability measures estimated from difficulty ratings of activities, one related to visual acuity and the other related to loss of peripheral vision and/or scotomas.
31 Visual ability estimated from goal difficulty ratings fall close to the principal axis in the two-factor space (i.e., loading approximately equally on the two factors). Person measures estimated from different combinations of tasks fall in the same two-factor space, but plot at different positions depending on the ratio of overall dependence on the acuity-related factor to overall dependence on the scotoma-related factor of the sample of tasks. Because rehabilitation is expected to increase functional reserve (i.e., difference between the person's visual ability [person measure] and the visual ability required to perform the activity described by the item [item measure]), AI item measures and response category thresholds were anchored to baseline values estimated previously from the responses of 3200 low vision patients.
32 Anchoring item measures and response category thresholds forces all changes in functional reserve, whether increases in the person's ability (e.g., from refractive error correction) or person-specific decreases in the required ability for an item (e.g., from the use of a low vision aid), to manifest as changes in the estimated person measures.
33–34 Items that were rated as “not difficult” at baseline were filtered out for both baseline and follow-up person measure estimates, since there is no room for improvement and they would not be included as rehabilitation goals in the patient's plan of care.
15 We report 1-tail
t-tests comparing within group differences pre- and posttreatment and between group differences, BA + OT-LVR versus ST. One-tail
t-test results are reported because we are interested in whether or not patients improved in visual function and not reporting statistics from those who report getting worse from progression of AMD.
A minimum clinically important difference (MCID) for each of the four visual ability measures was estimated for each subject by subtracting the baseline person measure from the 4-month follow-up person measure and dividing by 1.96 times the corresponding standard error of the baseline person measure.
15 The minimum clinically important difference is considered a clinical endpoint, so if MCID >1 for a subject (i.e.,
P < 0.05), then the effect of intervention on the measure for that subject is given a score of 1, otherwise it is scored as 0. Rasch analysis also was performed on the PHQ-9 responses to estimate continuous interval–scaled measures of a depression-related psychologic state variable (“depression severity”).
27,28 One-tailed
t-tests were used to compare the depression severity distribution of patients exhibiting a significant MCID to the distribution of patients who did not have a significant MCID.