For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
26
views
7
references
 Top references
cited by
115
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      69
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Australian Pharmaceutical Benefits Scheme data collection: a practical guide for researchers

      brief-report

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The Pharmaceutical Benefits Scheme (PBS) is Australia’s national drug subsidy program. This paper provides a practical guide to researchers using PBS data to examine prescribed medicine use.

          Findings

          Excerpts of the PBS data collection are available in a variety of formats. We describe the core components of four publicly available extracts (the Australian Statistics on Medicines, PBS statistics online, section 85 extract, under co-payment extract). We also detail common analytical challenges and key issues regarding the interpretation of utilisation using the PBS collection and its various extracts.

          Conclusions

          Research using routinely collected data is increasing internationally. PBS data are a valuable resource for Australian pharmacoepidemiological and pharmaceutical policy research. A detailed knowledge of the PBS, the nuances of data capture, and the extracts available for research purposes are necessary to ensure robust methodology, interpretation, and translation of study findings into policy and practice.

          Related collections

          Most cited references7

          • Record: found
          • Abstract: found
          • Article: not found

          The Nordic prescription databases as a resource for pharmacoepidemiological research--a literature review.

          Jorunn M. Andersen, Poul H. Sorensen, H Zoëga … (2013)
          All five Nordic countries have nationwide prescription databases covering all dispensed drugs, with potential for linkage to outcomes. The aim of this review is to present an overview of therapeutic areas studied and methods applied in pharmacoepidemiologic studies using data from these databases. The study consists of a Medline-based structured literature review of scientific papers published during 2005-2010 using data from the prescription databases in Denmark, Finland, Iceland, Norway, and Sweden, covering 25 million inhabitants. Relevant studies were analyzed in terms of pharmacological group, study population, outcomes examined, type of study (drug utilization vs. effect of drug therapy), country of origin, and extent of cross-national collaboration. A total of 515 studies were identified. Of these, 262 were conducted in Denmark, 97 in Finland, 4 in Iceland, 87 in Norway, and 61 in Sweden. Four studies used data from more than one Nordic country. The most commonly studied drugs were those acting on the nervous system, followed by cardiovascular drugs and gastrointestinal/endocrine drugs. A total of 228 studies examined drug utilization and 263 focused on the effects and safety of drug therapy. Pregnant women were the most commonly studied population in safety studies, whereas prescribers' adherence to guidelines was the most frequent topic of drug utilization studies. The Nordic prescription databases, with their possibility of record-linkage, represent an outstanding resource for assessing the beneficial and adverse effects of drug use in large populations, under routine care conditions, and with the potential for long-term follow-up. Copyright © 2013 John Wiley & Sons, Ltd.
          Article 0 comments Cited 68 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Academic Impact of a Public Electronic Health Database: Bibliometric Analysis of Studies Using the General Practice Research Database

            Yu-Chun Chen, Jau-Ching Wu, Ingo Haschler … (2011)
            Background Studies that use electronic health databases as research material are getting popular but the influence of a single electronic health database had not been well investigated yet. The United Kingdom's General Practice Research Database (GPRD) is one of the few electronic health databases publicly available to academic researchers. This study analyzed studies that used GPRD to demonstrate the scientific production and academic impact by a single public health database. Methodology and Findings A total of 749 studies published between 1995 and 2009 with ‘General Practice Research Database’ as their topics, defined as GPRD studies, were extracted from Web of Science. By the end of 2009, the GPRD had attracted 1251 authors from 22 countries and been used extensively in 749 studies published in 193 journals across 58 study fields. Each GPRD study was cited 2.7 times by successive studies. Moreover, the total number of GPRD studies increased rapidly, and it is expected to reach 1500 by 2015, twice the number accumulated till the end of 2009. Since 17 of the most prolific authors (1.4% of all authors) contributed nearly half (47.9%) of GPRD studies, success in conducting GPRD studies may accumulate. The GPRD was used mainly in, but not limited to, the three study fields of “Pharmacology and Pharmacy”, “General and Internal Medicine”, and “Public, Environmental and Occupational Health”. The UK and United States were the two most active regions of GPRD studies. One-third of GRPD studies were internationally co-authored. Conclusions A public electronic health database such as the GPRD will promote scientific production in many ways. Data owners of electronic health databases at a national level should consider how to reduce access barriers and to make data more available for research.
            Article 0 comments Cited 28 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Using secondary data sources for pharmacoepidemiology and outcomes research.

              Spencer Harpe (2009)
              The increased availability of electronic medical records and administrative health care databases is adding to the popularity of pharmacoepidemiology and outcomes research studies. Despite their availability, practitioners may be reluctant to use these databases because they lack familiarity with database research in general. The basic principles of research are the same regardless of the data source, but there are a few special considerations. When using secondary data sources for research purposes, special care must be taken to select an appropriate source to ensure that relevant information is available to answer the research question at hand. Special attention must also be paid to selecting the appropriate codes to represent the outcomes and exposures of interest; therefore, a general understanding of coding schemes is necessary. Although time may be saved by not prospectively collecting data, the process of manipulating the data for analysis in secondary databases can be complex. Analysis of data from secondary sources may require special procedures to overcome the lack of randomization. By familiarizing themselves with these special issues, practitioners can use secondary sources to conduct studies that make valuable contributions to the improvement of patient care.
              Article 0 comments Cited 25 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Leigh Mellish: leigh.mellish@sydney.edu.au
                Emily A. Karanges: emily.karanges@sydney.edu.au
                Melisa J. Litchfield: melisa.litchfield@sydney.edu.au
                Andrea L. Schaffer: andrea.schaffer@sydney.edu.au
                Bianca Blanch: bianca.blanch@sydney.edu.au
                Benjamin J. Daniels: benjamin.daniels@sydney.edu.au
                Alicia Segrave: alicia.segrave@health.gov.au
                Sallie-Anne Pearson: sallie.pearson@unsw.edu.au
                Journal
                Journal ID (nlm-ta): BMC Res Notes
                Journal ID (iso-abbrev): BMC Res Notes
                Title: BMC Research Notes
                Publisher: BioMed Central (London )
                ISSN (Electronic): 1756-0500
                Publication date (Electronic): 2 November 2015
                Publication date PMC-release: 2 November 2015
                Publication date Collection: 2015
                Volume: 8
                Electronic Location Identifier: 634
                Affiliations
                [ ]Pharmacoepidemiology and Pharmaceutical Policy Research Group, Faculty of Pharmacy, University of Sydney, A15, Pharmacy and Bank Building, Sydney, 2006 Australia
                [ ]Drug Utilisation Section, Pharmaceutical Benefits Division, Department of Health, Canberra, 2601 Australia
                [ ]Centre for Big Data Research in Health (CBDRH), University of NSW, Level 1, AGSM Building (G27), Sydney, 2052 Australia
                Article
                Publisher ID: 1616
                DOI: 10.1186/s13104-015-1616-8
                PMC ID: 4630883
                PubMed ID: 26526064
                SO-VID: 1c4a6343-32ff-4562-b142-7b702d9c4411
                Copyright © © Mellish et al. 2015
                License:

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                Date received : 29 July 2015
                Date accepted : 23 October 2015
                Categories
                Subject: Data Note
                Custom metadata
                issue-copyright-statement © The Author(s) 2015

                ScienceOpen disciplines: Medicine
                Keywords: pharmacoepidemiology,drug prescriptions,drug utilisation,databases,australia
                Data availability:
                ScienceOpen disciplines: Medicine
                Keywords: pharmacoepidemiology, drug prescriptions, drug utilisation, databases, australia

                Comments

                Comment on this article

                scite_

                Similar content69

                See all similar

                Cited by113

                See all cited by

                Most referenced authors359

                See all reference authors