Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period
Objective: Drug-related problems (DRP) produce high morbidity and mortality. It is therefore essential to identify patients at higher risk of these events. This study aimed to validate a DRP risk score in a large number of inpatients. Material and methods: Validation of a previously designed score t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-07-01
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| Series: | Saudi Pharmaceutical Journal |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319016418300446 |
| _version_ | 1819262376662269952 |
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| author | O. Ferrández S. Grau O. Urbina S. Mojal M. Riu E. Salas |
| author_facet | O. Ferrández S. Grau O. Urbina S. Mojal M. Riu E. Salas |
| author_sort | O. Ferrández |
| collection | DOAJ |
| description | Objective: Drug-related problems (DRP) produce high morbidity and mortality. It is therefore essential to identify patients at higher risk of these events. This study aimed to validate a DRP risk score in a large number of inpatients. Material and methods: Validation of a previously designed score to identify inpatients at risk of experiencing at least one DRP in a tertiary university hospital from 2010 to 2013. DRP were detected by a pharmacy warning system integrated in the electronic medical record. The score included the following variables associated with a higher risk of DRP: prescription of a higher number of drugs, greater comorbidity, advanced age, specific ATC groups and certain major diagnostic categories. Results: The study included a total of 52,987 admissions; of these, at least one DRP occurred in 14.9%. After validation of the score (period range, 2010–2013: 0.746–0.764), the area under the curve (AUC) was 0.751 (95% CI: 0.745–0.756). Conclusions: This value is higher than those reported in other studies describing validation of risk scores. The score showed good capacity to identify those patients at higher risk of DRP in a much larger sample of inpatients than previously described in the literature. This tool allows optimization of drug therapy monitoring in admitted patients. Keywords: Drug-related problems, Computerized medical record system, Computerized physician order entry, Risk score, Patient safety |
| first_indexed | 2024-12-23T19:56:43Z |
| format | Article |
| id | doaj.art-e979e06e58514507aa816325e6478d97 |
| institution | Directory Open Access Journal |
| issn | 1319-0164 |
| language | English |
| last_indexed | 2024-12-23T19:56:43Z |
| publishDate | 2018-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Saudi Pharmaceutical Journal |
| spelling | doaj.art-e979e06e58514507aa816325e6478d972022-12-21T17:33:12ZengElsevierSaudi Pharmaceutical Journal1319-01642018-07-01265703708Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year periodO. Ferrández0S. Grau1O. Urbina2S. Mojal3M. Riu4E. Salas5Services of Hospital Pharmacy, Hospital Universitari del Mar, Spain; Corresponding author at: Hospital Pharmacy Service, Hospital Universitari del Mar, Passeig Marítim 25–29, E-08003 Barcelona, Spain.Services of Hospital Pharmacy, Hospital Universitari del Mar, Spain; Universitat Autònoma de Barcelona, Barcelona, SpainServices of Hospital Pharmacy, Hospital Universitari del Mar, SpainDepartment of Statistics, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), SpainDirecció de control de gestió, Parc de Salut Mar, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), SpainServices of Hospital Pharmacy, Hospital Universitari del Mar, SpainObjective: Drug-related problems (DRP) produce high morbidity and mortality. It is therefore essential to identify patients at higher risk of these events. This study aimed to validate a DRP risk score in a large number of inpatients. Material and methods: Validation of a previously designed score to identify inpatients at risk of experiencing at least one DRP in a tertiary university hospital from 2010 to 2013. DRP were detected by a pharmacy warning system integrated in the electronic medical record. The score included the following variables associated with a higher risk of DRP: prescription of a higher number of drugs, greater comorbidity, advanced age, specific ATC groups and certain major diagnostic categories. Results: The study included a total of 52,987 admissions; of these, at least one DRP occurred in 14.9%. After validation of the score (period range, 2010–2013: 0.746–0.764), the area under the curve (AUC) was 0.751 (95% CI: 0.745–0.756). Conclusions: This value is higher than those reported in other studies describing validation of risk scores. The score showed good capacity to identify those patients at higher risk of DRP in a much larger sample of inpatients than previously described in the literature. This tool allows optimization of drug therapy monitoring in admitted patients. Keywords: Drug-related problems, Computerized medical record system, Computerized physician order entry, Risk score, Patient safetyhttp://www.sciencedirect.com/science/article/pii/S1319016418300446 |
| spellingShingle | O. Ferrández S. Grau O. Urbina S. Mojal M. Riu E. Salas Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period Saudi Pharmaceutical Journal |
| title | Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period |
| title_full | Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period |
| title_fullStr | Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period |
| title_full_unstemmed | Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period |
| title_short | Validation of a score to identify inpatients at risk of a drug-related problem during a 4-year period |
| title_sort | validation of a score to identify inpatients at risk of a drug related problem during a 4 year period |
| url | http://www.sciencedirect.com/science/article/pii/S1319016418300446 |
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