{"doi":"10.1186/1475-9276-9-12","title":"Social determinants of prescribed and non-prescribed medicine use","abstract":"<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The aim of the present study was to describe the use of prescribed and non prescribed medicines in a non-institutionalised population older than 15 years of an urban area during the year 2000, in terms of age and gender, social class, employment status and type of Primary Health Care.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Cross-sectional study. Information came from the 2000 Barcelona Health Interview Survey. The indicators used were the prevalence of use of prescribed and non-prescribed medicines in the two weeks prior to the interview. Descriptive analyses, bivariate and multivariate logistic regression analyses were carried out.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>More women than men took medicines (75.8%<jats:italic>vs</jats:italic>. 60% respectively). The prevalence of use of prescribed medicines increased with age while the prevalence of non-prescribed use decreased. These age differences are smaller among those with poor perceived health. In terms of social class, a higher percentage of men with good health in the more advantaged classes took non-prescribed medicines compared with disadvantaged classes (38.7% vs 31.8%). In contrast, among the group with poor health, more people from the more advantaged classes took prescribed medicines, compared with disadvantaged classes (51.4% vs 33.3%). A higher proportion of people who were either retired, unemployed or students, with good health, used prescribed medicines.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This study shows that beside health needs, there are social determinants affecting medicine consumption in the city of Barcelona.</jats:p></jats:sec>","journal":"International Journal for Equity in Health","year":2010,"id":682721,"datarank":0.5806801516361837,"base_score":3.8712010109078907,"endowment":3.8712010109078907,"self_citation_contribution":0.5806801516361837,"citation_network_contribution":0.0,"self_endowment_contribution":0.5806801516361837,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":47,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1783540,"name":"M Isabel Pasarín","orcid":null,"position":1,"is_corresponding":false},{"id":1783541,"name":"Maica Rodríguez-Sanz","orcid":null,"position":2,"is_corresponding":false},{"id":1783542,"name":"Anna García-Altés","orcid":null,"position":3,"is_corresponding":false},{"id":1783543,"name":"Joan R Villalbí","orcid":null,"position":4,"is_corresponding":false},{"id":1783544,"name":"Corinne Zara","orcid":null,"position":5,"is_corresponding":false},{"id":1415093,"name":"Carme Borrell","orcid":"0000-0002-1170-2505","position":6,"is_corresponding":false},{"id":1783539,"name":"Ferran Daban","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Social determinants of prescribed and non-prescribed medicine use","abstract":"<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The aim of the present study was to describe the use of prescribed and non prescribed medicines in a non-institutionalised population older than 15 years of an urban area during the year 2000, in terms of age and gender, social class, employment status and type of Primary Health Care.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Cross-sectional study. Information came from the 2000 Barcelona Health Interview Survey. The indicators used were the prevalence of use of prescribed and non-prescribed medicines in the two weeks prior to the interview. Descriptive analyses, bivariate and multivariate logistic regression analyses were carried out.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>More women than men took medicines (75.8%<jats:italic>vs</jats:italic>. 60% respectively). The prevalence of use of prescribed medicines increased with age while the prevalence of non-prescribed use decreased. These age differences are smaller among those with poor perceived health. In terms of social class, a higher percentage of men with good health in the more advantaged classes took non-prescribed medicines compared with disadvantaged classes (38.7% vs 31.8%). In contrast, among the group with poor health, more people from the more advantaged classes took prescribed medicines, compared with disadvantaged classes (51.4% vs 33.3%). A higher proportion of people who were either retired, unemployed or students, with good health, used prescribed medicines.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This study shows that beside health needs, there are social determinants affecting medicine consumption in the city of Barcelona.</jats:p></jats:sec>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"20441578","pmcid":"PMC2877047","openalex_id":null,"authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://link.springer.com/content/pdf/10.1186/1475-9276-9-12.pdf","host_type":"publisher"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2877047","host_type":"repository"},{"url":"https://equityhealthj.biomedcentral.com/counter/pdf/10.1186/1475-9276-9-12","host_type":"Unpaywall"},{"url":"http://www.biomedcentral.com/content/pdf/1475-9276-9-12.pdf","host_type":"BioMedCentral"},{"url":"http://www.biomedcentral.com/1475-9276/9/12/abstract","host_type":"BioMedCentral"},{"url":"http://www.biomedcentral.com/1475-9276/9/12","host_type":"BioMedCentral"},{"url":"https://europepmc.org/articles/PMC2877047","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC2877047?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":[],"mesh_terms":[],"keywords":[],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-17T21:12:06.933355Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}