The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study
Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will...
Ausführliche Beschreibung
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| Autor*in: |
van der Stelt, C. A. K. [verfasserIn] Vermeulen Windsant-van den Tweel, A. M. A. [verfasserIn] Egberts, A. C. G. [verfasserIn] van den Bemt, P. M. L. A. [verfasserIn] Leendertse, A. J. [verfasserIn] Hermens, W. A. J. J. [verfasserIn] van Marum, R. J. [verfasserIn] Derijks, H. J. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Drug safety - Berlin [u.a.] : Springer, 1990, 39(2015), 1 vom: 09. Nov., Seite 79-87 |
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| Übergeordnetes Werk: |
volume:39 ; year:2015 ; number:1 ; day:09 ; month:11 ; pages:79-87 |
| Links: |
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| DOI / URN: |
10.1007/s40264-015-0361-1 |
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| Katalog-ID: |
SPR033124043 |
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| 100 | 1 | |a van der Stelt, C. A. K. |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study |
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| 520 | |a Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. | ||
| 650 | 4 | |a Inappropriate Medication |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Inappropriate Prescribe |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Potentially Inappropriate Prescribe |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Beers Criterion |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Unplanned Admission |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Vermeulen Windsant-van den Tweel, A. M. A. |e verfasserin |4 aut | |
| 700 | 1 | |a Egberts, A. C. G. |e verfasserin |4 aut | |
| 700 | 1 | |a van den Bemt, P. M. L. A. |e verfasserin |4 aut | |
| 700 | 1 | |a Leendertse, A. J. |e verfasserin |4 aut | |
| 700 | 1 | |a Hermens, W. A. J. J. |e verfasserin |4 aut | |
| 700 | 1 | |a van Marum, R. J. |e verfasserin |4 aut | |
| 700 | 1 | |a Derijks, H. J. |e verfasserin |4 aut | |
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10.1007/s40264-015-0361-1 doi (DE-627)SPR033124043 (SPR)s40264-015-0361-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.40 bkl van der Stelt, C. A. K. verfasserin aut The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Potentially Inappropriate Prescribe (dpeaa)DE-He213 Beers Criterion (dpeaa)DE-He213 Unplanned Admission (dpeaa)DE-He213 Vermeulen Windsant-van den Tweel, A. M. A. verfasserin aut Egberts, A. C. G. verfasserin aut van den Bemt, P. M. L. A. verfasserin aut Leendertse, A. J. verfasserin aut Hermens, W. A. J. J. verfasserin aut van Marum, R. J. verfasserin aut Derijks, H. J. verfasserin aut Enthalten in Drug safety Berlin [u.a.] : Springer, 1990 39(2015), 1 vom: 09. Nov., Seite 79-87 (DE-627)320630714 (DE-600)2023894-0 1179-1942 nnns volume:39 year:2015 number:1 day:09 month:11 pages:79-87 https://dx.doi.org/10.1007/s40264-015-0361-1 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 44.40 ASE AR 39 2015 1 09 11 79-87 |
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10.1007/s40264-015-0361-1 doi (DE-627)SPR033124043 (SPR)s40264-015-0361-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.40 bkl van der Stelt, C. A. K. verfasserin aut The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Potentially Inappropriate Prescribe (dpeaa)DE-He213 Beers Criterion (dpeaa)DE-He213 Unplanned Admission (dpeaa)DE-He213 Vermeulen Windsant-van den Tweel, A. M. A. verfasserin aut Egberts, A. C. G. verfasserin aut van den Bemt, P. M. L. A. verfasserin aut Leendertse, A. J. verfasserin aut Hermens, W. A. J. J. verfasserin aut van Marum, R. J. verfasserin aut Derijks, H. J. verfasserin aut Enthalten in Drug safety Berlin [u.a.] : Springer, 1990 39(2015), 1 vom: 09. Nov., Seite 79-87 (DE-627)320630714 (DE-600)2023894-0 1179-1942 nnns volume:39 year:2015 number:1 day:09 month:11 pages:79-87 https://dx.doi.org/10.1007/s40264-015-0361-1 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 44.40 ASE AR 39 2015 1 09 11 79-87 |
| allfields_unstemmed |
10.1007/s40264-015-0361-1 doi (DE-627)SPR033124043 (SPR)s40264-015-0361-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.40 bkl van der Stelt, C. A. K. verfasserin aut The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Potentially Inappropriate Prescribe (dpeaa)DE-He213 Beers Criterion (dpeaa)DE-He213 Unplanned Admission (dpeaa)DE-He213 Vermeulen Windsant-van den Tweel, A. M. A. verfasserin aut Egberts, A. C. G. verfasserin aut van den Bemt, P. M. L. A. verfasserin aut Leendertse, A. J. verfasserin aut Hermens, W. A. J. J. verfasserin aut van Marum, R. J. verfasserin aut Derijks, H. J. verfasserin aut Enthalten in Drug safety Berlin [u.a.] : Springer, 1990 39(2015), 1 vom: 09. Nov., Seite 79-87 (DE-627)320630714 (DE-600)2023894-0 1179-1942 nnns volume:39 year:2015 number:1 day:09 month:11 pages:79-87 https://dx.doi.org/10.1007/s40264-015-0361-1 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 44.40 ASE AR 39 2015 1 09 11 79-87 |
| allfieldsGer |
10.1007/s40264-015-0361-1 doi (DE-627)SPR033124043 (SPR)s40264-015-0361-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.40 bkl van der Stelt, C. A. K. verfasserin aut The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Potentially Inappropriate Prescribe (dpeaa)DE-He213 Beers Criterion (dpeaa)DE-He213 Unplanned Admission (dpeaa)DE-He213 Vermeulen Windsant-van den Tweel, A. M. A. verfasserin aut Egberts, A. C. G. verfasserin aut van den Bemt, P. M. L. A. verfasserin aut Leendertse, A. J. verfasserin aut Hermens, W. A. J. J. verfasserin aut van Marum, R. J. verfasserin aut Derijks, H. J. verfasserin aut Enthalten in Drug safety Berlin [u.a.] : Springer, 1990 39(2015), 1 vom: 09. Nov., Seite 79-87 (DE-627)320630714 (DE-600)2023894-0 1179-1942 nnns volume:39 year:2015 number:1 day:09 month:11 pages:79-87 https://dx.doi.org/10.1007/s40264-015-0361-1 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 44.40 ASE AR 39 2015 1 09 11 79-87 |
| allfieldsSound |
10.1007/s40264-015-0361-1 doi (DE-627)SPR033124043 (SPR)s40264-015-0361-1-e DE-627 ger DE-627 rakwb eng 610 ASE 44.40 bkl van der Stelt, C. A. K. verfasserin aut The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. Inappropriate Medication (dpeaa)DE-He213 Inappropriate Prescribe (dpeaa)DE-He213 Potentially Inappropriate Prescribe (dpeaa)DE-He213 Beers Criterion (dpeaa)DE-He213 Unplanned Admission (dpeaa)DE-He213 Vermeulen Windsant-van den Tweel, A. M. A. verfasserin aut Egberts, A. C. G. verfasserin aut van den Bemt, P. M. L. A. verfasserin aut Leendertse, A. J. verfasserin aut Hermens, W. A. J. J. verfasserin aut van Marum, R. J. verfasserin aut Derijks, H. J. verfasserin aut Enthalten in Drug safety Berlin [u.a.] : Springer, 1990 39(2015), 1 vom: 09. Nov., Seite 79-87 (DE-627)320630714 (DE-600)2023894-0 1179-1942 nnns volume:39 year:2015 number:1 day:09 month:11 pages:79-87 https://dx.doi.org/10.1007/s40264-015-0361-1 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 44.40 ASE AR 39 2015 1 09 11 79-87 |
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Enthalten in Drug safety 39(2015), 1 vom: 09. Nov., Seite 79-87 volume:39 year:2015 number:1 day:09 month:11 pages:79-87 |
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van der Stelt, C. A. K. @@aut@@ Vermeulen Windsant-van den Tweel, A. M. A. @@aut@@ Egberts, A. C. G. @@aut@@ van den Bemt, P. M. L. A. @@aut@@ Leendertse, A. J. @@aut@@ Hermens, W. A. J. J. @@aut@@ van Marum, R. J. @@aut@@ Derijks, H. J. @@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">SPR033124043</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519150308.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40264-015-0361-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR033124043</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40264-015-0361-1-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="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">van der Stelt, C. A. K.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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">Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. 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The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study |
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van der Stelt, C. A. K. |
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van der Stelt, C. A. K. Vermeulen Windsant-van den Tweel, A. M. A. Egberts, A. C. G. van den Bemt, P. M. L. A. Leendertse, A. J. Hermens, W. A. J. J. van Marum, R. J. Derijks, H. J. |
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van der Stelt, C. A. K. |
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association between potentially inappropriate prescribing and medication-related hospital admissions in older patients: a nested case control study |
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The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study |
| abstract |
Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. |
| abstractGer |
Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. |
| abstract_unstemmed |
Introduction Medication-related problems can cause serious adverse drug events (ADEs) that may lead to hospitalization of the patient. There are multiple screening methods to detect and reduce potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs). Whether this will result in less medication-related hospitalizations is unknown. The study objective was to assess the risk of preventable medication-related hospital admissions associated with potentially inappropriate prescribing, using the Beers 2012 and the Screening Tool of Older Person’s Prescriptions and the Screening Tool to Alert doctors to Right Treatment (STOPP & START) 2008 criteria. Design, setting and participants A nested case–control study was conducted with a subset of Dutch participants from the Hospital Admissions Related to Medication (HARM) study. Cases were defined as patients aged ≥65 years with a potentially preventable medication-related hospital admission. For each case, one control was selected, matched for age and sex. The primary determinant was the presence of one or more PIMs according to the Beers 2012 and STOPP 2008 criteria. The secondary determinant was the presence of one or more PIMs and PPOs according to the STOPP & START 2008 criteria. The strength of the association between inappropriate prescribing and medication-related hospital admission was evaluated with multivariate logistic regression and expressed as odds ratios (ORs) with 95 % confidence intervals (CIs). Results The prevalence of Beers 2012 criteria PIMs in the total cohort was 44.4 %. The prevalence of STOPP & START 2008 criteria PIMs and PPOs were, respectively, 34.1 and 57.7 %. STOPP 2008 criteria PIMs were associated with preventable medication-related hospital admissions [OR adjusted for number of drugs and comorbidities ($ OR_{adj} $) 2.30, 95 % CI 1.30–4.07], whereas there was no association with Beers 2012 criteria PIMs ($ OR_{adj} $ 1.49, 95 % CI 0.90–2.47). STOPP PIMs and START PPOs together were also associated with preventable medication-related hospital admissions ($ OR_{adj} $ 3.47, 95 % CI 1.70–7.09). Conclusion Our study shows that patients with potentially inappropriate prescribing detected with the STOPP & START 2008 criteria are at risk of preventable medication-related hospital admissions. The STOPP & START 2008 criteria can be used to identify older people at risk of medication-related problems. |
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The Association Between Potentially Inappropriate Prescribing and Medication-Related Hospital Admissions in Older Patients: A Nested Case Control Study |
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| score |
7.399811 |