Quasi-experimental Study With a Control Group to Evaluate a Psychoeducational Intervention in Parkinson's Disease Patients and Carers

Registry procedures * Letters will be sent from the centers themselves to the homes of all the people diagnosed with Parkinson's disease who meet the inclusion criteria. The letters will contain information about the study and how to join the study, a stamped addressed envelope and the informed consent form. Those interested may sign up for the study by telephone, by sending a letter in a stamped addressed envelope (provided by the research team) or in person at the reception of the participating centers. Subsequently, a member of the research team will evaluate if the potential participants meet the inclusion criteria by means of a brief interview in the health center. Once it has been established that participants fulfill the inclusion criteria, they will be given a document with the dates of the sessions that they must attend. * The healthcare professionals helping the participants in data collection will be blinded to intervention assignment. Two researchers will be in charge of data monitoring. * Data will be compared with findings from papers. * The sample size necessary to detect medium to large differences in the primary outcome of the project, quality of life, was calculated. The parameters used for the calculation of the sample size by group will be published in a paper. * Analysis of quantitative data will be performed on an intention to treat basis and for that SPSS (Statistical Package for the Social Sciences) version 23.0 will be used. A descriptive analysis of the sociodemographic data will be made. For the quantitative variables, the means of central tendency and standard deviations will be calculated. Non-parametric tests (χ² tests) and parametric tests (paired student t tests) to compare patients with family members at each measurement points, unpaired student t tests to determine any significant differences between the two groups at baseline (Time 0) and the measurements at Time 1 and Time 2 will be used. Also, repeated measures of covariance (ANCOVA, analysis of covariance) will be used to compare differences between the two groups in the main variables.