ABSTRACT
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Subject(s)
Humans , Male , Female , Neoplasms/prevention & control , Ovarian Neoplasms/prevention & control , Uterine Cervical Neoplasms/prevention & control , Breast Neoplasms/prevention & control , Colorectal Neoplasms/prevention & control , Lung Neoplasms/prevention & controlSubject(s)
Neoplasms/prevention & control , Age Factors , Aged , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/epidemiology , Breast Neoplasms/mortality , Breast Neoplasms/prevention & control , Endometrial Neoplasms/epidemiology , Endometrial Neoplasms/prevention & control , Europe/epidemiology , Female , Humans , Male , Mammography , Mass Screening , Middle Aged , Neoplasms/epidemiology , Neoplasms/mortality , Primary Health Care , Prostate-Specific Antigen/blood , Prostatic Neoplasms/epidemiology , Prostatic Neoplasms/prevention & control , Randomized Controlled Trials as Topic , Risk , Risk Factors , Sex Factors , Skin Neoplasms/epidemiology , Skin Neoplasms/mortality , Skin Neoplasms/prevention & control , Spain/epidemiology , United States/epidemiology , Uterine Cervical Neoplasms/epidemiology , Uterine Cervical Neoplasms/mortality , Uterine Cervical Neoplasms/prevention & controlSubject(s)
Neoplasms/prevention & control , Alcohol Drinking/adverse effects , Breast Neoplasms/prevention & control , Colorectal Neoplasms/diagnosis , Colorectal Neoplasms/prevention & control , Diet/adverse effects , Endometrial Neoplasms/prevention & control , Female , Humans , Male , Neoplasms/epidemiology , Neoplasms/etiology , Prostatic Neoplasms/prevention & control , Risk Factors , Skin Neoplasms/prevention & control , Uterine Cervical Neoplasms/prevention & controlABSTRACT
OBJECTIVE: To describe adverse drug effects (ADE) and their frequency in primary care patients. DESIGN: Descriptive and longitudinal study during 1 year (1990). SETTING: Urban Health Center. Primary Care. Madrid (Spain). PATIENTS AND OTHER PARTICIPANTS: 15,483 persons, nine general practitioner and one pharmacist. INTERVENTIONS: Doctors were invited to register any adverse drug effects they had notice in their patients. Doctors registered information and gave notice to the pharmacist about medicines, dosage and period of administration, clinical manifestations, and improving or not if drug was withdrawal. MEASUREMENTS AND MAIN RESULTS: 326 adverse drugs effects were notified, 30.9 ADE per thousand attended patients. 117 principles actives were involved, and 415 clinical manifestations were registered. The more affected patients were women (2/1). The age groups with higher ADE relative frequencies were children under one year and older people. CONCLUSIONS: The absolute frequency of medicines involved in ADE are different to relative frequencies when ADE per thousand prescription units are used. Some of the ADE notified were not referred before in the bibliography, so primary care is a good place to research on pharmacosurveillance.
Subject(s)
Drug-Related Side Effects and Adverse Reactions , Adolescent , Adult , Aged , Child , Child, Preschool , Female , Humans , Infant , Longitudinal Studies , Male , Middle AgedABSTRACT
OBJECTIVE: To present the design and setting up of a computerised data base for primary care. DESIGN: A descriptive crossover study. The recording lasted a year. SETTING: Gómez Acebo Health Centre in Madrid. Primary Care. PATIENTS AND OTHER PARTICIPANTS: The whole of the health centre catchment population, comprising 14,407 people, as well as 20 doctors and nurses. INTERVENTIONS: The consultations of ten doctors and ten nurses at the health centre were computerised. The computer programme, language-designed for inter-related data bases, linked four data bases (users, chronic illnesses, medicines, and the diagnosis and treatment record-sheet). The population under study comprised 14,407 people over one year, 1993. MEASUREMENTS AND MAIN RESULTS: The users file held the data of 14,407 people. 7,867 of these contained 23,993 chronic diagnoses with 12,405 treatments. The commonest diagnosis groups were: cardiovascular, psychiatry, endocrinology and articulations. The therapeutic groups with most prescriptions were C (cardiovascular), A (digestive and metabolic), N (nervous system) and R (respiratory). Daily expenditure in medicines was 634,207 pesetas. CONCLUSIONS: The main contribution of this computerised data base is to be able to analyse the associations between pathologies and their associated treatments, along with the pharmacological cost per primary care transaction, interactions and adverse side-effects.
