OBJECTIVE: To determine the prevalence of therapy non-compliance (TN) and the reasons for it in patients > or =65 taking multiple medication. DESIGN: Quantitative stage: TN prevalence by means of Morisky-Green test. Qualitative stage: 3 focus groups (FG). October 2005 to January 2006. SETTING: Primary care centre in Catalonia, Spain. PARTICIPANTS: Persons > or =65 years old taking 3 or more medicines. A total of 208 tests were administered at random and non-compliers were distributed by thumb into three FG. MEASUREMENTS AND MAIN RESULTS: Quantitative stage. Collection of variables: non-complier, gender, number of medicines, and age. SPSS analysis. Qualitative stage. Data collection through FG and analysis of content: text transcription and classification by theme and sub-theme lines. NC prevalence of 47.6%. In the consultation we found reasons relating to the doctor, the doctor-patient relationship and the context. At pharmacies, pharmacists acted as regulators of prescriptions. At home, patients' beliefs, life-style and the characteristics of the medicine affected compliance. Patients wanted to be sure that doctors understood their chronic medication and would guarantee there would be no interactions. They wanted pharmacists to back this guarantee up. They read the instructions leaflet and were frightened by the section on side-effects. CONCLUSIONS: Prescriptions can become trivial for doctors and extremely important for patients. We must understand reasons for NC and incorporate actions-recommendations to improve compliance, both in day-to-day practice and in the centre's organisation.
OBJECTIVE: To determine the prevalence of therapy non-compliance (TN) and the reasons for it in patients > or =65 taking multiple medication. DESIGN: Quantitative stage: TN prevalence by means of Morisky-Green test. Qualitative stage: 3 focus groups (FG). October 2005 to January 2006. SETTING: Primary care centre in Catalonia, Spain. PARTICIPANTS: Persons > or =65 years old taking 3 or more medicines. A total of 208 tests were administered at random and non-compliers were distributed by thumb into three FG. MEASUREMENTS AND MAIN RESULTS: Quantitative stage. Collection of variables: non-complier, gender, number of medicines, and age. SPSS analysis. Qualitative stage. Data collection through FG and analysis of content: text transcription and classification by theme and sub-theme lines. NC prevalence of 47.6%. In the consultation we found reasons relating to the doctor, the doctor-patient relationship and the context. At pharmacies, pharmacists acted as regulators of prescriptions. At home, patients' beliefs, life-style and the characteristics of the medicine affected compliance. Patients wanted to be sure that doctors understood their chronic medication and would guarantee there would be no interactions. They wanted pharmacists to back this guarantee up. They read the instructions leaflet and were frightened by the section on side-effects. CONCLUSIONS: Prescriptions can become trivial for doctors and extremely important for patients. We must understand reasons for NC and incorporate actions-recommendations to improve compliance, both in day-to-day practice and in the centre's organisation.
Authors: José Miguel Baena-Díez; Claudia Gómez-Fernández; Mónica Vilató-García; Ernesto Javier Vásquez-Lazo; Alice Olivia Byram; Marc Vidal-Solsona Journal: Aten Primaria Date: 2011-02-20 Impact factor: 1.137
Authors: Virtudes Pérez-Jover; José J Mira; Concepción Carratala-Munuera; Vicente F Gil-Guillen; Josep Basora; Adriana López-Pineda; Domingo Orozco-Beltrán Journal: Int J Environ Res Public Health Date: 2018-02-10 Impact factor: 3.390