Prospective survey-based study on the categorization quality of hospital pharmacists’ interventions using DokuPIK View Full Text


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Article Info

DATE

2019-03-20

AUTHORS

Angela Ihbe-Heffinger, Claudia Langebrake, Carina Hohmann, Katja Leichenberg, Heike Hilgarth, Mareike Kunkel, Michael Lueb, Tibor Schuster

ABSTRACT

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. More... »

PAGES

1-10

References to SciGraph publications

  • 2014-07. Application of drug-related problem (DRP) classification systems: a review of the literature in EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY
  • 2002-08. Discussing basic principles for a coding system of drug-related problems: the case of PI-Doc® in INTERNATIONAL JOURNAL OF CLINICAL PHARMACY
  • 2012-02. DOCUMENT: a system for classifying drug-related problems in community pharmacy in INTERNATIONAL JOURNAL OF CLINICAL PHARMACY
  • 2013-12. Clinical pharmacist service in the acute ward in INTERNATIONAL JOURNAL OF CLINICAL PHARMACY
  • 2012-02. An analysis of quality of systematic reviews on pharmacist health interventions in INTERNATIONAL JOURNAL OF CLINICAL PHARMACY
  • 2006-08. Validation of an instrument for the documentation of clinical pharmacists’ interventions in INTERNATIONAL JOURNAL OF CLINICAL PHARMACY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11096-019-00785-8

    DOI

    http://dx.doi.org/10.1007/s11096-019-00785-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112899309

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30895502


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