Hauswaldt, Johannes

[["dc.bibliographiccitation.firstpage","323-31"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Das Gesundheitswesen"],["dc.bibliographiccitation.lastpage","331"],["dc.bibliographiccitation.volume","72"],["dc.contributor.author","Kersting, M."],["dc.contributor.author","Gierschmann, A."],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.date.accessioned","2021-08-26T13:16:23Z"],["dc.date.available","2021-08-26T13:16:23Z"],["dc.date.issued","2010-06"],["dc.description.abstract","An advanced and integrative information technology (IT)-landscape is needed for optimal support of future processes in health-care, including health services research. Most researches in the primary care sector are based on data collected for reimbursement. The aim of this study is to show the limits and options of secondary analysis based on data that was exported via the \"Behandlungsdatentransfer\" (treatment data transport) BDT-interface in the software systems of German general practitioners and afterwards prepared for further research in SPSS. From the middle of 2005 to the end of 2007 all 168 teaching practices of the Hannover Medical School (MHH) were invited to join the study. Finally routine data from 28 practices could be collected successfully. The data from 139 other practices which had been collected for the project \"Health Care in Practice\" (\"Medizinische Versorgung in der Praxis\" - MedViP) was also added to the pool. The process of data preparation included a complete cycle from data collection, merging the data in a relational database system, via statistics and analysis to publishing and generating a feedback report for the participating practices. During the whole study the limits and options of this method were systematically identified. Of the 168 practices, 68 (40.5%) were interested to participate. From 28 (16.7%) physicians the data could be exported from their software systems. In 15 (8.9%) cases no collection was possible due to technical and in 26 (15.5%) to administrative reasons. The method of data extraction varied, as the BDT-interface was differently implemented by the software companies. Together with the MedViP data, the database at the MHH now consists of 167 practices with 974 304 patients and 12 555 943 treatments. For 44.1% of the 11 497 899 prescription entries an anatomic therapeutic chemical (ATC) code could be applied, by matching the entries to the master data from the Scientific Institute of Local Health-Care Funds (\"Wissenschaftliches Instituts der Ortskrankenkassen\" - WIdO). Periodically consistent sets of SPSS files could successfully be created for further research and feedback reports for the participating practices were generated as portable document format (PDF) files. The BDT-interface seems quite out of date, but can still reveal interesting information, especially on data about medical treatments and findings. Much of the data is contained in fields based on free text, which makes analysis difficult. Coded information, like agents, as ATC, could partially be extracted from the data, which afterwards was easy to prepare for further research. Quality and content of the data depend mainly on the data enterer, the physicians and their practice staff. Future research could be improved by more classified and coded data, which would better be transported through an interface more advanced than BDT."],["dc.identifier.doi","10.1055/s-0030-1249689"],["dc.identifier.pmid","20491004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88831"],["dc.language.iso","other"],["dc.relation.eissn","1439-4421"],["dc.relation.issn","0941-3790"],["dc.title","Routinedaten aus hausärztlichen Arztinformationssystemen – Export, Analyse und Aufbereitung für die Versorgungsforschung"],["dc.title.alternative","Routine data from general practitioner's software systems - Export, analysis and preparation for research"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","332"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Das Gesundheitswesen"],["dc.bibliographiccitation.lastpage","339"],["dc.bibliographiccitation.volume","72"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Kersting, M."],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.date.accessioned","2021-08-26T13:16:28Z"],["dc.date.available","2021-08-26T13:16:28Z"],["dc.date.issued","2010-06"],["dc.description.abstract","Vaccination against infection with human influenza virus is considered to be one of the most effective preventive measures available, especially when complications such as hospitalisation or death and indirect costs from off-work are considered. General practice is the preferable place for annual influenza vaccination because here the elderly and those endangered from bad health conditions are cared for frequently and regularly. The aim of this study was to find out the frequencies of influenza vaccination by Lower Saxonian contract physicians during three time periods with special respect to patients of older age or at risk. Data from two sources of health-care service have been analysed, namely from the contract physicians' union of Lower Saxony with all physicians vaccinating against influenza in the winter seasons of 1995/1996, 2002/2003, and 2005/2006, and from direct access to the electronic practice record system of 79 general practices via the BDT software data interface. Contract physicians, of whom more than 90 % are general practitioners, from Lower Saxony, vaccinate patients of the statutory health insurance against influenza in markedly increasing numbers, since 1995/1996 and 2002/2003 up to 2005/2006. Those over sixty years old or at high risk from bad health conditions are vaccinated up to seven-fold more frequently, compared to other patients. Influenza vaccination coverage rates (VCRs) are significantly higher in small and in medium-sized practices, compared to those with many patients. Nevertheless, influenza VCRs in Lower Saxony are not yet as high as would be necessary or desirable when compared internationally. Secondary analysis of aggregated health service data revealed inconsistencies in the primary material on cross-checking and validating, probably being caused during the external process of data aggregation and anonymisation. Also major systematic obstacles were found in the subsequent process of analysis. Nevertheless, fundamental results have been produced and are valid for all statutory health insured Lower Saxonians. Data from direct access to electronic practice records allowed for a deeper and multi-faceted insight into 101 928 patients of the same population, limited by the possibility of selection bias ('convenience sample'). Secondary analysis of health service data from different sources and their cross-check comparison is possible and successful. It is important to inform and involve the holder of the primary data extensively, following the guide lines of \"good practice secondary data analysis\"."],["dc.identifier.doi","10.1055/s-0030-1249690"],["dc.identifier.pmid","20440676"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88832"],["dc.language.iso","other"],["dc.relation.eissn","1439-4421"],["dc.relation.issn","0941-3790"],["dc.title","Influenza-Impfungen durch Niedersächsische Hausärzte – eine Sekundäranalyse vertragsärztlicher Versorgungsdaten aus 1995/1996, 2002/2003 und 2005/2006"],["dc.title.alternative","Influenza vaccination by Lower Saxonian general practitioners - a secondary analysis of physicians' data from 1995/1996, 2002/2003, and 2005/2006"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e68"],["dc.bibliographiccitation.issue","8-9"],["dc.bibliographiccitation.journal","Das Gesundheitswesen"],["dc.bibliographiccitation.lastpage","e75"],["dc.bibliographiccitation.volume","74"],["dc.contributor.author","Kersting, M."],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Lingner, H."],["dc.date.accessioned","2021-08-26T13:16:35Z"],["dc.date.available","2021-08-26T13:16:35Z"],["dc.date.issued","2012-08"],["dc.description.abstract","Health-care research is, besides primary acquired study data, based on data from widely differing secondary sources. In order to link, compare and analyze data sources uniform models and methods are needed. This could be facilitated by a more structured description of requirements, models and methods of health-care research than those currently used. Suitable methods of presentation were sought in an approach to this target and the unified modeling language (UML) identified as a possible alternative."],["dc.identifier.doi","10.1055/s-0032-1314824"],["dc.identifier.pmid","22836932"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88834"],["dc.language.iso","other"],["dc.relation.eissn","1439-4421"],["dc.relation.issn","0941-3790"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY 4.0"],["dc.title","Modellierung von Anforderungen an hausärztliche Routinedaten aus Sicht der Versorgungsforschung mithilfe der Unified Modeling Language (UML)"],["dc.title.alternative","Modeling the requirements on routine data of general practitioners from the health-care researcher's point of view with the help of unified modeling langauge (UML)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]