Journal of Rehabilitation Medicine 51-3 | Page 58

204 A. Morral et al. Outcome measures The primary outcome was foot function, measured using the FFI, a self-administered questionnaire that quantifies the impact of pathology on foot function in terms of pain, disability and activity restriction (24), and is one of the most-used assessment tools in clinical trials on plantar fasciitis treatments (25, 26). The index consists of 23 items that assess foot function on a continuous scale of 100 points, where a lower score indicates better function. This variable was assessed at baseline and at 4 follow-up sessions: at 1, 2, 4 and 14 months after the last rESWT session. Secondary variables included: (i) pain assessment for “pain with the first weight-bearing step in the morning” and “pain during the day”, measured with a 10-point VAS at baseline and at 4 follow-ups: at 1, 2, 4 and 14 months after the last rESWT session; (ii) plantar fascia thickness of the affected foot, mea- sured using ultrasound (Echo Blaster EXT-128) at baseline and at 2 time-points: 4 and 14 months after the last rESWT session. Complications, adverse effects during and after treatment were recorded. Information was also collected on discomfort during the application of rESWT (using a VAS scale). Baseline patient data collected included age, sex, body mass index (BMI) (kg/m 2 ), duration of symptoms (months), time spent standing per day (h), exercise level (1, no activity; 2, less than 5 h a week; 3, between 5 and 10 h a week; 4, more than 10 h a week), and level of education (1, no education; 2, compul- sory education (primary and secondary school); 3, high-school studies or vocational training; and 4, university-level education). Randomization and blinding Randomization was performed through a specific syntax for this study, in IBM-SPSS language (V22), in blocks and perfectly balanced by a statistician from the Ibero-American Cochrane Centre, Clinical Epidemiology and Public Health Service of the Hospital de la Santa Creu i Sant Pau. The randomization num- bers were placed in sealed opaque envelopes, thus concealing allocation from both the patients and the therapist until treatment started. The envelopes were sequentially ordered from 1 to 135 and stored in a locked cabinet. Both the lead researcher (who assessed patients for eligibility) and the researcher responsible for delivering the treatment had no access to the content of the envelopes, ensuring the concealment of assignments. The pa- tients and the therapist were not blinded to the treatment due to the nature of the study, as they knew which of the 3 devices was being applied, but the evaluator and data analyst were blinded. Statistical analysis Descriptive values are expressed as means and standard devia- tions (SD) for quantitative variables, and relative frequency for categorical variables. As the main study analysis, a 2-way analysis of variance (ANOVA) was performed, with groups (3 levels: (groups I, II and III)) and time (5 levels (baseline and follow-ups) of repeated measures) as independent variables, and clinical variables (foot functionality, morning pain, pain during the day, and plantar fascia thickness) as dependent variables. For secondary analysis with categorical variables a χ 2 test was performed. Finally, in the case of quantitative variables, the inferential analysis was carried out with analysis of va- riance (ANOVA); the Kruskal–Wallis test was performed as a non-parametric test alternative to ANOVA (failure to meet assumptions or for ordinal variables). The sample size was calculated using GRANMO Software (Version 7.12, IMIM-Hospital del Mar, Barcelona, Spain), with the assumption that an ANOVA would be performed among the 3 groups and 5 time-points. Accepting a p-value below 0.05 and a statistical power (beta-1 risk) above 0.8 in a bilateral contrast, 45 patients were required in each group to detect a minimum difference of 15 points between 2 groups, assuming that there were 3 groups and a standard deviation (SD) of 20. A maximum rate of 15% loss to follow-up was estimated. Calculations were performed using IBM-SPSS (Version 22, IBM, Armonk, NY, USA). RESULTS Baseline patient data A total of 135 patients participated in the study; 45 in each group. Mean age was 49 years, and 48% of the patients were women. Mean duration of symptoms was 14 months. Table II shows the baseline patient data. Table II. Baseline data Age, years Body mass index, kg/m 2 Duration of symptoms, months Hours spent standing per day Sex, n (%) Female Male Exercise, n (%) No activity Low activity Moderate activity Intense activity Educational level, n (%) No education Compulsory education High-school education or vocational training University education Group I: standard device (n  = 45) Mean (SD) Group II: sophisticated device (n  = 45) Mean (SD) Group III: austere device (n  = 45) Mean (SD) p-value 48.27 (9.96) 52.51 (12.28) 49.31 (11.14) 0.054* 27.61 (3.31) 13.27 (9.26) 7.67 (3.53) 27.66 (3.72) 14.98 (12.72) 8.80 (3.67) 28.35 (5.25) 13.53 (9.09) 8.33 (4.09) 0.642 0.708 0.362 33.3 66.7 60 40 51.1 48.9 0.036* 44.4 35.6 15.6 4.4 44.4 42.2 13.3 0 57.8 28.9 8.6 4.4 0.407 2.2 35.6 33.3 28.9 8.9 44.4 28.9 17.8 6.7 31.1 33.3 28.9 0.166 *At baseline, significant differences were observed between groups for the distribution of the variable sex (p  = 0.036), and for the variable age, the difference was close to significance (p  = 0.054). Thus, the entire analysis was corrected for the sex and age of the patients, using a co-variance analysis (ANCOVA). SD: standard deviation. www.medicaljournals.se/jrm