Health services research in German radiation oncology: new opportunities to advance cancer care
Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potent...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Medenwald, Daniel [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
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2018 |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Strahlentherapie und Onkologie - Berlin : Springer Medizin, 1997, 194(2018), 12 vom: 04. Sept., Seite 1097-1102 |
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| Übergeordnetes Werk: |
volume:194 ; year:2018 ; number:12 ; day:04 ; month:09 ; pages:1097-1102 |
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| DOI / URN: |
10.1007/s00066-018-1357-4 |
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SPR000517194 |
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| 520 | |a Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. | ||
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| 700 | 1 | |a Vordermark, Dirk |4 aut | |
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10.1007/s00066-018-1357-4 doi (DE-627)SPR000517194 (SPR)s00066-018-1357-4-e DE-627 ger DE-627 rakwb eng Medenwald, Daniel verfasserin aut Health services research in German radiation oncology: new opportunities to advance cancer care 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. Health economics (dpeaa)DE-He213 Reimbursement (dpeaa)DE-He213 German diagnosis-related groups (dpeaa)DE-He213 Cancer registries (dpeaa)DE-He213 Population (dpeaa)DE-He213 Dietzel, Christian T. aut Vordermark, Dirk aut Enthalten in Strahlentherapie und Onkologie Berlin : Springer Medizin, 1997 194(2018), 12 vom: 04. Sept., Seite 1097-1102 (DE-627)312407866 (DE-600)2003907-4 1439-099X nnns volume:194 year:2018 number:12 day:04 month:09 pages:1097-1102 https://dx.doi.org/10.1007/s00066-018-1357-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 194 2018 12 04 09 1097-1102 |
| spelling |
10.1007/s00066-018-1357-4 doi (DE-627)SPR000517194 (SPR)s00066-018-1357-4-e DE-627 ger DE-627 rakwb eng Medenwald, Daniel verfasserin aut Health services research in German radiation oncology: new opportunities to advance cancer care 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. Health economics (dpeaa)DE-He213 Reimbursement (dpeaa)DE-He213 German diagnosis-related groups (dpeaa)DE-He213 Cancer registries (dpeaa)DE-He213 Population (dpeaa)DE-He213 Dietzel, Christian T. aut Vordermark, Dirk aut Enthalten in Strahlentherapie und Onkologie Berlin : Springer Medizin, 1997 194(2018), 12 vom: 04. Sept., Seite 1097-1102 (DE-627)312407866 (DE-600)2003907-4 1439-099X nnns volume:194 year:2018 number:12 day:04 month:09 pages:1097-1102 https://dx.doi.org/10.1007/s00066-018-1357-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 194 2018 12 04 09 1097-1102 |
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10.1007/s00066-018-1357-4 doi (DE-627)SPR000517194 (SPR)s00066-018-1357-4-e DE-627 ger DE-627 rakwb eng Medenwald, Daniel verfasserin aut Health services research in German radiation oncology: new opportunities to advance cancer care 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. Health economics (dpeaa)DE-He213 Reimbursement (dpeaa)DE-He213 German diagnosis-related groups (dpeaa)DE-He213 Cancer registries (dpeaa)DE-He213 Population (dpeaa)DE-He213 Dietzel, Christian T. aut Vordermark, Dirk aut Enthalten in Strahlentherapie und Onkologie Berlin : Springer Medizin, 1997 194(2018), 12 vom: 04. Sept., Seite 1097-1102 (DE-627)312407866 (DE-600)2003907-4 1439-099X nnns volume:194 year:2018 number:12 day:04 month:09 pages:1097-1102 https://dx.doi.org/10.1007/s00066-018-1357-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 194 2018 12 04 09 1097-1102 |
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10.1007/s00066-018-1357-4 doi (DE-627)SPR000517194 (SPR)s00066-018-1357-4-e DE-627 ger DE-627 rakwb eng Medenwald, Daniel verfasserin aut Health services research in German radiation oncology: new opportunities to advance cancer care 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. Health economics (dpeaa)DE-He213 Reimbursement (dpeaa)DE-He213 German diagnosis-related groups (dpeaa)DE-He213 Cancer registries (dpeaa)DE-He213 Population (dpeaa)DE-He213 Dietzel, Christian T. aut Vordermark, Dirk aut Enthalten in Strahlentherapie und Onkologie Berlin : Springer Medizin, 1997 194(2018), 12 vom: 04. Sept., Seite 1097-1102 (DE-627)312407866 (DE-600)2003907-4 1439-099X nnns volume:194 year:2018 number:12 day:04 month:09 pages:1097-1102 https://dx.doi.org/10.1007/s00066-018-1357-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 194 2018 12 04 09 1097-1102 |
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10.1007/s00066-018-1357-4 doi (DE-627)SPR000517194 (SPR)s00066-018-1357-4-e DE-627 ger DE-627 rakwb eng Medenwald, Daniel verfasserin aut Health services research in German radiation oncology: new opportunities to advance cancer care 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. Health economics (dpeaa)DE-He213 Reimbursement (dpeaa)DE-He213 German diagnosis-related groups (dpeaa)DE-He213 Cancer registries (dpeaa)DE-He213 Population (dpeaa)DE-He213 Dietzel, Christian T. aut Vordermark, Dirk aut Enthalten in Strahlentherapie und Onkologie Berlin : Springer Medizin, 1997 194(2018), 12 vom: 04. Sept., Seite 1097-1102 (DE-627)312407866 (DE-600)2003907-4 1439-099X nnns volume:194 year:2018 number:12 day:04 month:09 pages:1097-1102 https://dx.doi.org/10.1007/s00066-018-1357-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 194 2018 12 04 09 1097-1102 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR000517194</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519084907.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00066-018-1357-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR000517194</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00066-018-1357-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Medenwald, Daniel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Health services research in German radiation oncology: new opportunities to advance cancer care</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag GmbH Germany, part of Springer Nature 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. 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Health services research in German radiation oncology: new opportunities to advance cancer care Health economics (dpeaa)DE-He213 Reimbursement (dpeaa)DE-He213 German diagnosis-related groups (dpeaa)DE-He213 Cancer registries (dpeaa)DE-He213 Population (dpeaa)DE-He213 |
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health services research in german radiation oncology: new opportunities to advance cancer care |
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Health services research in German radiation oncology: new opportunities to advance cancer care |
| abstract |
Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
| abstractGer |
Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
| abstract_unstemmed |
Background Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology. Methods In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented. Results In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level. Conclusion DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology. © Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Health services research in German radiation oncology: new opportunities to advance cancer care |
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https://dx.doi.org/10.1007/s00066-018-1357-4 |
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Dietzel, Christian T. Vordermark, Dirk |
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10.1007/s00066-018-1357-4 |
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| score |
7.399638 |