Quantitative and qualitative variables collected with Basic Data Format, RDQ, SF-36 and Patient Preference questionnaires will be typed in a Microsoft Excel 2007 database. Intervention groups will be masked with an alphabetical code provided by an independent collaborator who will not be involved with data analysis or report writing. For statistical processing, database will be imported into SPSS 16.0 for Windows and descriptive statistics will be generated for each variable. Statistically significant differences will be searched for categorical data using the Chi-square test and normality will be tested for numerical continuous variables using the Shapiro-Wilk test. For normally distributed continuous variables, statistically significant differences will be searched for by using unpaired Student's t test. Alternatively, for not normally distributed variables a Wilcoxon signed rank test will be applied. For complementary processing of primary outcome and secondary outcome quality of life, score difference between periods will be transformed into a binomial variable and a McNemar test will be applied. Differences with one-tail p<0,05 will be accepted as statistically significant. Subgroup analysis will explore differences stratified according to age group, sex, ethnic group, BMI, comorbidities, cups of coffee per day, pharmacological adherence, and length and severity of symptoms.