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1.
Int J Clin Pharm ; 41(2): 414-423, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-30895502

RESUMO

Background There is a growing need to categorize pharmacists' interventions (PIs) in Germany to document their impact on solving or avoiding drug-related problems. Objective To validate the categorization of drug-related problems-one aspect of the categorical internet database DokuPIK, designed for recording routinely PIs. To identify case-specific predictive values. Setting German hospitals. Methods Within a prospective, nationwide survey-based study, 37 of 498 registered database users volunteered to evaluate 24 standardized case reports independently. Case evaluation was restricted to classify problems, based on 26 given categories with no limit on the number of item choices. Ratings were conducted electronically and anonymously. A gold standard of one or more problems per case was developed by majority consensus of five senior clinical pharmacists. Agreement of raters' case classification with the gold standard was assessed by calculating sensitivity, specificity and positive and negative predictive value and was reported as median and range. Main outcome Level of agreement. Results Independent assessment yielded a median agreement of 90% [79-94%]. Sensitivity and specificity were 37% [21-57%] and 99% [97-100%], respectively. Median positive and negative predicted value were both 90% [60-100%] and 90% [78-95%]. Mean case-specific agreement was robust (≥ 79%) with respect to a majority and maximum consensus (three and five out of five raters). Conclusion DokuPIK seems to have a high level of agreement and a good specificity according to the majority of clinical pharmacists in a panel of assessors. Despite the allowance of multiple choices, predictive values were high and indicated a well-constructed classification by pharmacists.


Assuntos
Erros de Medicação/classificação , Serviço de Farmácia Hospitalar/estatística & dados numéricos , Bases de Dados Factuais , Alemanha , Humanos , Erros de Medicação/estatística & dados numéricos , Estudos Prospectivos , Sensibilidade e Especificidade , Inquéritos e Questionários
2.
Pharmacotherapy ; 35(4): 370-9, 2015 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-25884525

RESUMO

STUDY OBJECTIVE: To describe and evaluate the extent and diversity of nationwide data from clinical pharmacists' interventions (PIs) in German hospitals. DESIGN: Retrospective analysis. DATA SOURCE: The ADKA-DokuPIK German database, a national anonymous self-reported Internet-based documentation system for routine PIs as well as for medication errors reported by German hospital pharmacists. MEASUREMENTS AND MAIN RESULTS: Data sets from ADKA-DokuPIK entered between January 2009 and December 2012 were analyzed descriptively. A total of 27,610 PIs were entered, mainly by ward-based clinical pharmacists (82.5%). Most of the PIs were performed on surgical wards (37.8%), followed by anesthesiology/intensive care unit/intermediate care unit and internal medicine. The most prevalent therapeutic subgroup that was the trigger for the PIs was antibacterials for systemic use (13.9%), followed by antithrombotic agents, analgesics, drugs for acid-related disorders, and agents acting on the renin-angiotensin system. About a quarter of interventions (23.4%) were performed due to inappropriate use of drugs, followed by use of a wrong dose or administration interval (22.1%), resulting in the most frequently taken actions of change of dose, change of drug, and drug stopped/paused (withheld). Altogether, the implementation rate of the PIs was 85.5%. Underlying medication errors were predominantly classified as "error, no harm" according to the National Coordinating Council for Medication Error Reporting and Prevention. CONCLUSION: For the first time in a European country, our findings show the scope of clinical pharmacist involvement in patient care in daily clinical practice and demonstrate the usefulness and importance of their proactive interventions in the prevention of hazards and risks for hospital inpatients.


Assuntos
Serviço de Farmácia Hospitalar/estatística & dados numéricos , Sistemas de Notificação de Reações Adversas a Medicamentos/estatística & dados numéricos , Bases de Dados Factuais , Alemanha , Humanos , Erros de Medicação/estatística & dados numéricos , Retirada de Medicamento Baseada em Segurança/estatística & dados numéricos
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