Nuñez-Montenegro, AntonioMontiel-Luque, AlonsoMartin-Aurioles, EstherGarcia-Dillana, FelicisimaKrag-Jiménez, MonicaGonzález-Correa, Jose A2023-01-252023-01-252019-03-04Nuñez-Montenegro A, Montiel-Luque A, Martin-Aurioles E, Garcia-Dillana F, Krag-Jiménez M, González-Correa JA. Evaluation of Inappropriate Prescribing in Patients Older than 65 Years in Primary Health Care. J Clin Med. 2019;8(3):305. Published 2019 Mar 4.2077-0383http://hdl.handle.net/10668/13660To asses inappropriate prescribing and its predisposing factors in polymedicated patients over the age of 65 in primary health care. Design: cross-sectional study. Setting: Primary care centres in the Costa del Sol Health District and Northern Health Area of Malaga in southern Spain. Participants: Patients older than 65 years who use multiple medications. Data collection was conducted during 1 year in a population of 425 individuals who comprised a stratified randomized sample of the population of health care users in the study area. The data were collected by interview on a structured data collection form. Study variables. Dependent variable: Potentially inappropriate prescribing (PIP) (STOPP/START criteria). Predictor variables: Sociodemographic characteristics, clinical characteristics and medication use. A descriptive analysis of the variables was performed. Statistical inference was based on bivariate analysis (Student’s t or Mann-Whitney U test and chi-squared test) and multivariate analysis was used to control for confounding factors. 73.6% of participants met one or more STOPP/START criteria. According to information about prescribed treatments, 48.5% of participants met at least one STOPP criterion and 43.30% of them met at least one START criterion. The largest percentage of inappropriate prescriptions was associated with cardiovascular treatments. More than three-quarters of the participants had one or moreinappropriate prescriptions for medicines in primary care, according to STOPP/START criteria. In addition, PIP was directly related to the number of prescribed medications, gender and specific pathologies (diabetes).enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/elderlyinappropriate prescribingpatient safetypolymedicatedprimary carerisk factors STOPP/STARTHealth Area North of MálagaInappropriate PrescribingPotentially Inappropriate Medication ListCross-Sectional StudiesStatistics, NonparametricDiabetes MellitusPrescriptionsPrimary Health Careresearch article30836699open accessLista de Medicamentos Potencialmente InapropiadosPrescripción InadecuadaAtención Primaria de SaludPrescripcionesAnálisis Multivariante10.3390/jcm8030305PMC6463147https://www.mdpi.com/2077-0383/8/3/305/pdf?version=1552989367https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463147/pdf