Rule-based standardised switching of drugs at the interface between primary and tertiary care
Introduction Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number – 62,000 in Germany – that are commercially available. Without computerised s...
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Published in | European journal of clinical pharmacology Vol. 64; no. 3; pp. 319 - 327 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer-Verlag
01.03.2008
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0031-6970 1432-1041 |
DOI | 10.1007/s00228-007-0402-5 |
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Abstract | Introduction
Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number – 62,000 in Germany – that are commercially available. Without computerised support, the process involved with switching drugs to a corresponding generic or a therapeutic equivalent is time-consuming and error-prone.
Methods
We have developed and tested a standardised interchange algorithm for subsequent implementation into a computerised decision support system that switches drugs to the corresponding generic or a therapeutic equivalent if they are not listed on the hospital drug formulary.
Results
The algorithm was retrospectively applied to the medication regimens of 120 patients (774 prescribed drugs containing 886 active ingredients) at their time of admission to surgical wards. Of the prescribed drugs, 52.8% (409/774) were part of the hospital drug formulary, thereby rendering a switch unnecessary. The 365 drugs not listed consisted of 392 active ingredients that were successfully switched to a corresponding generic (84.7%) or a therapeutic equivalent (10.2%). No specific switching procedures were defined for only 2.3% (20/886) of the active ingredients. In these cases, the drugs were either discontinued (4/20) or special drug classes, current diseases or co-medication required manual switching (8/20), or the drugs were continued unchanged and ordered from a wholesaler (8/20).
Conclusion
Using a standardised interchange algorithm, pre-admission drug regimens can successfully be switched to drugs on a hospital drug formulary. These findings suggest that a computerised decision support system will likely be useful to support this important practice. |
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AbstractList | Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number - 62,000 in Germany - that are commercially available. Without computerised support, the process involved with switching drugs to a corresponding generic or a therapeutic equivalent is time-consuming and error-prone.INTRODUCTIONChanges in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number - 62,000 in Germany - that are commercially available. Without computerised support, the process involved with switching drugs to a corresponding generic or a therapeutic equivalent is time-consuming and error-prone.We have developed and tested a standardised interchange algorithm for subsequent implementation into a computerised decision support system that switches drugs to the corresponding generic or a therapeutic equivalent if they are not listed on the hospital drug formulary.METHODSWe have developed and tested a standardised interchange algorithm for subsequent implementation into a computerised decision support system that switches drugs to the corresponding generic or a therapeutic equivalent if they are not listed on the hospital drug formulary.The algorithm was retrospectively applied to the medication regimens of 120 patients (774 prescribed drugs containing 886 active ingredients) at their time of admission to surgical wards. Of the prescribed drugs, 52.8% (409/774) were part of the hospital drug formulary, thereby rendering a switch unnecessary. The 365 drugs not listed consisted of 392 active ingredients that were successfully switched to a corresponding generic (84.7%) or a therapeutic equivalent (10.2%). No specific switching procedures were defined for only 2.3% (20/886) of the active ingredients. In these cases, the drugs were either discontinued (4/20) or special drug classes, current diseases or co-medication required manual switching (8/20), or the drugs were continued unchanged and ordered from a wholesaler (8/20).RESULTSThe algorithm was retrospectively applied to the medication regimens of 120 patients (774 prescribed drugs containing 886 active ingredients) at their time of admission to surgical wards. Of the prescribed drugs, 52.8% (409/774) were part of the hospital drug formulary, thereby rendering a switch unnecessary. The 365 drugs not listed consisted of 392 active ingredients that were successfully switched to a corresponding generic (84.7%) or a therapeutic equivalent (10.2%). No specific switching procedures were defined for only 2.3% (20/886) of the active ingredients. In these cases, the drugs were either discontinued (4/20) or special drug classes, current diseases or co-medication required manual switching (8/20), or the drugs were continued unchanged and ordered from a wholesaler (8/20).Using a standardised interchange algorithm, pre-admission drug regimens can successfully be switched to drugs on a hospital drug formulary. These findings suggest that a computerised decision support system will likely be useful to support this important practice.CONCLUSIONUsing a standardised interchange algorithm, pre-admission drug regimens can successfully be switched to drugs on a hospital drug formulary. These findings suggest that a computerised decision support system will likely be useful to support this important practice. Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number - 62,000 in Germany - that are commercially available. Without computerised support, the process involved with switching drugs to a corresponding generic or a therapeutic equivalent is time-consuming and error-prone. We have developed and tested a standardised interchange algorithm for subsequent implementation into a computerised decision support system that switches drugs to the corresponding generic or a therapeutic equivalent if they are not listed on the hospital drug formulary. The algorithm was retrospectively applied to the medication regimens of 120 patients (774 prescribed drugs containing 886 active ingredients) at their time of admission to surgical wards. Of the prescribed drugs, 52.8% (409/774) were part of the hospital drug formulary, thereby rendering a switch unnecessary. The 365 drugs not listed consisted of 392 active ingredients that were successfully switched to a corresponding generic (84.7%) or a therapeutic equivalent (10.2%). No specific switching procedures were defined for only 2.3% (20/886) of the active ingredients. In these cases, the drugs were either discontinued (4/20) or special drug classes, current diseases or co-medication required manual switching (8/20), or the drugs were continued unchanged and ordered from a wholesaler (8/20). Using a standardised interchange algorithm, pre-admission drug regimens can successfully be switched to drugs on a hospital drug formulary. These findings suggest that a computerised decision support system will likely be useful to support this important practice. [PUBLICATION ABSTRACT] Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number - 62,000 in Germany - that are commercially available. Without computerised support, the process involved with switching drugs to a corresponding generic or a therapeutic equivalent is time-consuming and error-prone. We have developed and tested a standardised interchange algorithm for subsequent implementation into a computerised decision support system that switches drugs to the corresponding generic or a therapeutic equivalent if they are not listed on the hospital drug formulary. The algorithm was retrospectively applied to the medication regimens of 120 patients (774 prescribed drugs containing 886 active ingredients) at their time of admission to surgical wards. Of the prescribed drugs, 52.8% (409/774) were part of the hospital drug formulary, thereby rendering a switch unnecessary. The 365 drugs not listed consisted of 392 active ingredients that were successfully switched to a corresponding generic (84.7%) or a therapeutic equivalent (10.2%). No specific switching procedures were defined for only 2.3% (20/886) of the active ingredients. In these cases, the drugs were either discontinued (4/20) or special drug classes, current diseases or co-medication required manual switching (8/20), or the drugs were continued unchanged and ordered from a wholesaler (8/20). Using a standardised interchange algorithm, pre-admission drug regimens can successfully be switched to drugs on a hospital drug formulary. These findings suggest that a computerised decision support system will likely be useful to support this important practice. Introduction Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about 3000 drugs as compared to the many times this number – 62,000 in Germany – that are commercially available. Without computerised support, the process involved with switching drugs to a corresponding generic or a therapeutic equivalent is time-consuming and error-prone. Methods We have developed and tested a standardised interchange algorithm for subsequent implementation into a computerised decision support system that switches drugs to the corresponding generic or a therapeutic equivalent if they are not listed on the hospital drug formulary. Results The algorithm was retrospectively applied to the medication regimens of 120 patients (774 prescribed drugs containing 886 active ingredients) at their time of admission to surgical wards. Of the prescribed drugs, 52.8% (409/774) were part of the hospital drug formulary, thereby rendering a switch unnecessary. The 365 drugs not listed consisted of 392 active ingredients that were successfully switched to a corresponding generic (84.7%) or a therapeutic equivalent (10.2%). No specific switching procedures were defined for only 2.3% (20/886) of the active ingredients. In these cases, the drugs were either discontinued (4/20) or special drug classes, current diseases or co-medication required manual switching (8/20), or the drugs were continued unchanged and ordered from a wholesaler (8/20). Conclusion Using a standardised interchange algorithm, pre-admission drug regimens can successfully be switched to drugs on a hospital drug formulary. These findings suggest that a computerised decision support system will likely be useful to support this important practice. |
Author | Kaltschmidt, Jens Walter-Sack I, Ingeborg Haefeli, Walter E. Walk, Stefanie U. Hoppe-Tichy, Torsten Bertsche, Thilo Pruszydlo, Markus G. |
Author_xml | – sequence: 1 givenname: Stefanie U. surname: Walk fullname: Walk, Stefanie U. organization: Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Hospital Pharmacy, University of Heidelberg – sequence: 2 givenname: Thilo surname: Bertsche fullname: Bertsche, Thilo organization: Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg – sequence: 3 givenname: Jens surname: Kaltschmidt fullname: Kaltschmidt, Jens organization: Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg – sequence: 4 givenname: Markus G. surname: Pruszydlo fullname: Pruszydlo, Markus G. organization: Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg – sequence: 5 givenname: Torsten surname: Hoppe-Tichy fullname: Hoppe-Tichy, Torsten organization: Hospital Pharmacy, University of Heidelberg – sequence: 6 givenname: Ingeborg surname: Walter-Sack I fullname: Walter-Sack I, Ingeborg organization: Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg – sequence: 7 givenname: Walter E. surname: Haefeli fullname: Haefeli, Walter E. email: walter.emil.haefeli@med.uni-heidelberg.de organization: Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg |
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Keywords | Generic/therapeutic equivalent Hospital drug formulary Computerised decision support system Drug switching Health care interfaces Interchange algorithm Human Decision support system Health Primary health care Standardization Generic drug Algorithm Drug conversion Treatment Hospital |
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355 W Himmel (402_CR3) 2004; 42 S Navarro de Lara (402_CR11) 2004; 28 402_CR12 402_CR34 P Meredith (402_CR42) 2003; 25 PL Cornish (402_CR2) 2005; 165 B Porta Oltra (402_CR16) 2005; 29 PH Chong (402_CR40) 2002; 36 ML Laroche (402_CR44) 2006; 23 KA Grace (402_CR14) 2002; 59 P Abourjaily (402_CR35) 2005; 14 CD Furberg (402_CR36) 1999; 354 CD Furberg (402_CR28) 2001; 37 V Bergk (402_CR39) 2004; 76 PG Manolakis (402_CR18) 2007; 47 U Schwabe (402_CR41) 2007 S Conroy (402_CR45) 2000; 320 DJ Kereiakes (402_CR38) 2003; 108 W Himmel (402_CR8) 1998; 54 T Gray (402_CR13) 2005; 25 B Djavan (402_CR29) 1999; 36 16123904 - Dtsch Med Wochenschr. 2005 Aug 26;130(34-35):1970-3 16232030 - Pharmacotherapy. 2005 Nov;25(11):1666-80 9342577 - Eur J Clin Pharmacol. 1997;52(6):429-35 14693311 - Clin Ther. 2003 Nov;25(11):2875-90 10696996 - Lancet. 2000 Feb 19;355(9204):637-45 17510028 - J Am Pharm Assoc (2003). 2007 May-Jun;47(3):328-38 8725204 - Am J Health Syst Pharm. 1996 Jun 1;53(11):1295-6 16492069 - Drugs Aging. 2006;23(1):49-59 15369437 - Farm Hosp. 2004 Jul-Aug;28(4):266-74 9556644 - Am Fam Physician. 1998 Apr 1;57(7):1551-60 11025783 - Arch Intern Med. 2000 Oct 9;160(18):2741-7 12558354 - Ann Intern Med. 2003 Feb 4;138(3):161-7 7743534 - Cardiology. 1994;85 Suppl 1:41-5 10671911 - Br J Clin Pharmacol. 2000 Feb;49(2):158-67 11300461 - J Am Coll Cardiol. 2001 Apr;37(5):1456-60 16013932 - Farm Hosp. 2005 Mar;29(2):104-12 10023656 - Am J Kidney Dis. 1999 Feb;33(2):389-97 11908245 - Am J Health Syst Pharm. 2002 Mar 15;59(6):529-33 12063893 - Am J Health Syst Pharm. 2002 Jun 1;59(11):1077-82 16173282 - Manag Care. 2005 Aug;14(8):50-7, 62 9591929 - Eur J Clin Pharmacol. 1998 Mar;54(1):41-6 10364649 - Eur Urol. 1999;36(1):1-13 8803514 - Eur J Clin Pharmacol. 1996;50(4):253-7 10637210 - Circulation. 2000 Jan 18;101(2):207-13 12452755 - Ann Pharmacother. 2002 Dec;36(12):1907-17 16224307 - Med Care. 2005 Nov;43(11):1130-9 15229467 - Clin Pharmacol Ther. 2004 Jul;76(1):85-96 8519049 - Clin Ther. 1993 Mar-Apr;15(2):433-41; 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Snippet | Introduction
Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally... Changes in drug treatment are frequently mandatory with hospital admission and discharge because hospital drug formularies are generally restricted to about... |
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SubjectTerms | Aged Algorithms Biological and medical sciences Biomedical and Life Sciences Biomedicine Continuity of Patient Care Decision support systems Decision Support Techniques Drug therapy Drugs, Generic - administration & dosage Female Formularies, Hospital Germany Hospitals Humans Male Medical sciences Middle Aged Pharmaceutical Preparations - administration & dosage Pharmacoepidemiology and Prescription Pharmacology Pharmacology. Drug treatments Pharmacology/Toxicology Primary Health Care Retrospective Studies Therapeutic Equivalency |
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Title | Rule-based standardised switching of drugs at the interface between primary and tertiary care |
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