A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients
Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs ide...
Ausführliche Beschreibung
Autor*in: |
Curtain, Colin M. [verfasserIn] Bindoff, Ivan K. [verfasserIn] Westbury, Juanita L. [verfasserIn] Peterson, Gregory M. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2013 |
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Übergeordnetes Werk: |
Enthalten in: Drugs & aging - Berlin [u.a.] : Springer, 1991, 30(2013), 11 vom: 04. Sept., Seite 935-943 |
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Übergeordnetes Werk: |
volume:30 ; year:2013 ; number:11 ; day:04 ; month:09 ; pages:935-943 |
Links: |
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DOI / URN: |
10.1007/s40266-013-0116-6 |
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Katalog-ID: |
SPR033244766 |
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520 | |a Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. | ||
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700 | 1 | |a Westbury, Juanita L. |e verfasserin |4 aut | |
700 | 1 | |a Peterson, Gregory M. |e verfasserin |4 aut | |
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10.1007/s40266-013-0116-6 doi (DE-627)SPR033244766 (SPR)s40266-013-0116-6-e DE-627 ger DE-627 rakwb eng 610 ASE Curtain, Colin M. verfasserin aut A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. Medication Review (dpeaa)DE-He213 Medication Class (dpeaa)DE-He213 Descriptive Term (dpeaa)DE-He213 Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Bindoff, Ivan K. verfasserin aut Westbury, Juanita L. verfasserin aut Peterson, Gregory M. verfasserin aut Enthalten in Drugs & aging Berlin [u.a.] : Springer, 1991 30(2013), 11 vom: 04. Sept., Seite 935-943 (DE-627)327644281 (DE-600)2043689-0 1179-1969 nnns volume:30 year:2013 number:11 day:04 month:09 pages:935-943 https://dx.doi.org/10.1007/s40266-013-0116-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_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_2118 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_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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 30 2013 11 04 09 935-943 |
spelling |
10.1007/s40266-013-0116-6 doi (DE-627)SPR033244766 (SPR)s40266-013-0116-6-e DE-627 ger DE-627 rakwb eng 610 ASE Curtain, Colin M. verfasserin aut A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. Medication Review (dpeaa)DE-He213 Medication Class (dpeaa)DE-He213 Descriptive Term (dpeaa)DE-He213 Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Bindoff, Ivan K. verfasserin aut Westbury, Juanita L. verfasserin aut Peterson, Gregory M. verfasserin aut Enthalten in Drugs & aging Berlin [u.a.] : Springer, 1991 30(2013), 11 vom: 04. Sept., Seite 935-943 (DE-627)327644281 (DE-600)2043689-0 1179-1969 nnns volume:30 year:2013 number:11 day:04 month:09 pages:935-943 https://dx.doi.org/10.1007/s40266-013-0116-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_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_2118 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_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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 30 2013 11 04 09 935-943 |
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10.1007/s40266-013-0116-6 doi (DE-627)SPR033244766 (SPR)s40266-013-0116-6-e DE-627 ger DE-627 rakwb eng 610 ASE Curtain, Colin M. verfasserin aut A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. Medication Review (dpeaa)DE-He213 Medication Class (dpeaa)DE-He213 Descriptive Term (dpeaa)DE-He213 Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Bindoff, Ivan K. verfasserin aut Westbury, Juanita L. verfasserin aut Peterson, Gregory M. verfasserin aut Enthalten in Drugs & aging Berlin [u.a.] : Springer, 1991 30(2013), 11 vom: 04. Sept., Seite 935-943 (DE-627)327644281 (DE-600)2043689-0 1179-1969 nnns volume:30 year:2013 number:11 day:04 month:09 pages:935-943 https://dx.doi.org/10.1007/s40266-013-0116-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_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_2118 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_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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 30 2013 11 04 09 935-943 |
allfieldsGer |
10.1007/s40266-013-0116-6 doi (DE-627)SPR033244766 (SPR)s40266-013-0116-6-e DE-627 ger DE-627 rakwb eng 610 ASE Curtain, Colin M. verfasserin aut A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. Medication Review (dpeaa)DE-He213 Medication Class (dpeaa)DE-He213 Descriptive Term (dpeaa)DE-He213 Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Bindoff, Ivan K. verfasserin aut Westbury, Juanita L. verfasserin aut Peterson, Gregory M. verfasserin aut Enthalten in Drugs & aging Berlin [u.a.] : Springer, 1991 30(2013), 11 vom: 04. Sept., Seite 935-943 (DE-627)327644281 (DE-600)2043689-0 1179-1969 nnns volume:30 year:2013 number:11 day:04 month:09 pages:935-943 https://dx.doi.org/10.1007/s40266-013-0116-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_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_2118 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_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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 30 2013 11 04 09 935-943 |
allfieldsSound |
10.1007/s40266-013-0116-6 doi (DE-627)SPR033244766 (SPR)s40266-013-0116-6-e DE-627 ger DE-627 rakwb eng 610 ASE Curtain, Colin M. verfasserin aut A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. Medication Review (dpeaa)DE-He213 Medication Class (dpeaa)DE-He213 Descriptive Term (dpeaa)DE-He213 Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Bindoff, Ivan K. verfasserin aut Westbury, Juanita L. verfasserin aut Peterson, Gregory M. verfasserin aut Enthalten in Drugs & aging Berlin [u.a.] : Springer, 1991 30(2013), 11 vom: 04. Sept., Seite 935-943 (DE-627)327644281 (DE-600)2043689-0 1179-1969 nnns volume:30 year:2013 number:11 day:04 month:09 pages:935-943 https://dx.doi.org/10.1007/s40266-013-0116-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA SSG-OPC-PHA SSG-OPC-ASE 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_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_2118 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_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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 30 2013 11 04 09 935-943 |
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Enthalten in Drugs & aging 30(2013), 11 vom: 04. Sept., Seite 935-943 volume:30 year:2013 number:11 day:04 month:09 pages:935-943 |
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Curtain, Colin M. @@aut@@ Bindoff, Ivan K. @@aut@@ Westbury, Juanita L. @@aut@@ Peterson, Gregory M. @@aut@@ |
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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">SPR033244766</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519234338.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40266-013-0116-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR033244766</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40266-013-0116-6-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="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Curtain, Colin M.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</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="520" ind1=" " ind2=" "><subfield code="a">Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. 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comparison of prescribing criteria when applied to older community-based patients |
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A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients |
abstract |
Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. |
abstractGer |
Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. |
abstract_unstemmed |
Background Studies have compared prescribing criteria for older people in general terms, reporting the findings without true side-by-side comparisons of the frequency and type of potential drug-related problems (DRPs). Objective The aim of this study was to compare the frequency and type of DRPs identified by several prescribing criteria. Additionally, original pharmacist DRP findings were compared with DRPs identified using the prescribing criteria. Method Three prescribing criteria were automated: Beers 2012 (Beers), Screening Tool of Older Person’s Prescriptions/Screening Tool to Alert doctors to Right Treatment (STOPP/START), and Prescribing Indicators in Elderly Australians (PIEA). The criteria were applied to medication reviews of 570 ambulatory older Australian patients. DRPs identified by each set of criteria were recorded. Each DRP was assigned a descriptive term which highlighted mainly drug classes and/or diagnoses to provide a meaningful common language for comparison between recorded DRPs. Descriptive terms were used to compare the frequency and type of DRP identified by each set of criteria, as well as against original pharmacists’ findings. Results Beers identified 399 DRPs via 21 different descriptive terms, STOPP/START identified 1,032 DRPs via 42 terms, and PIEA identified 1,492 DRPs via 33 terms. The various types of DRPs identified by all of the three prescribing criteria were represented by 53 different terms. When constrained to the same 53 different terms, pharmacists identified 862 DRPs. Conclusion Each set of criteria displayed relevance through mutual agreement of known high-risk medication classes in older people. The number and scope of DRPs identified by pharmacists was best represented by STOPP/START. The application of STOPP/START may be further augmented with relevant criteria from PIEA and Beers. |
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container_issue |
11 |
title_short |
A Comparison of Prescribing Criteria When Applied to Older Community-Based Patients |
url |
https://dx.doi.org/10.1007/s40266-013-0116-6 |
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Bindoff, Ivan K. Westbury, Juanita L. Peterson, Gregory M. |
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Bindoff, Ivan K. Westbury, Juanita L. Peterson, Gregory M. |
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doi_str |
10.1007/s40266-013-0116-6 |
up_date |
2024-07-03T17:32:32.174Z |
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|
score |
7.399646 |