| Literature DB >> 25587245 |
Oliver Kumpf1, Frank Bloos2, Hanswerner Bause3, Alexander Brinkmann4, Maria Deja1, Gernot Marx5, Arnold Kaltwasser6, Rolf Dubb6, Elke Muhl7, Clemens-A Greim8, Norbert Weiler9, Ines Chop10, Günther Jonitz11, Henning Schaefer12, Matthias Felsenstein13, Ursula Liebeskind14, Carsten Leffmann15, Annemarie Jungbluth16, Christian Waydhas17, Peter Pronovost18, Claudia Spies1, Jan-Peter Braun19.
Abstract
INTRODUCTION: Quality improvement and safety in intensive care are rapidly evolving topics. However, there is no gold standard for assessing quality improvement in intensive care medicine yet. In 2007 a pilot project in German intensive care units (ICUs) started using voluntary peer reviews as an innovative tool for quality assessment and improvement. We describe the method of voluntary peer review and assessed its feasibility by evaluating anonymized peer review reports and analysed the thematic clusters highlighted in these reports.Entities:
Keywords: critical care; patient safety; peer review; quality improvement; quality management
Mesh:
Year: 2014 PMID: 25587245 PMCID: PMC4270273 DOI: 10.3205/000202
Source DB: PubMed Journal: Ger Med Sci ISSN: 1612-3174
Figure 1Schematic overview over the peer review process
The upper part of the figure shows the steps necessary for preparation of the visitation (encircled with dashed line) consisting of contact between the representatives, the state chamber of physicians and the group of peers taking part in the review. Further steps consisting of the peer review visitation and the preparation of the report are shown.
Table 1Planned timetable of ICU peer reviews
Table 2Characteristics of the ICUs that underwent peer review
Figure 2Spider chart representing the results of the external assessment questionnaires
Dots represent mean percent of maximally achievable points for one dimension. All units with questionnaires completed (n=18) were evaluated. The questionnaire consisted of 52 questions each of which could reach 1 to 4 points. The percentage of maximally achievable points for each dimension was computed.
Figure 3Spider chart representing the plus/minus analysis of the SWOT reports
Black triangles represent the sum of positive and negative counts per thematic cluster (range from –40 to +40). Stronger line represents zero. Black letters represent high values (above +20). Grey letters represent medium level values (+10 to +20). Grey letters in boxes represent low (0 to +10) and black letters in boxes negative values. The plus/minus analysis was extracted from the 22 SWOT reports (strength, weakness, opportunity, threat) evaluated. Every item for each thematic cluster was appointed either “+1” when mentioned in the strength or opportunity part of the SWOT reports or “–1” when mentioned in the weakness or threat part. Numerical values are also presented in Table 3.
Table 3Items extracted from SWOT analysis of peer review reports. Descriptive numbers extracted from SWOT reports.