1403 - Feasibility analysis of the WINHO indicators for outpatient care in oncology

Date 28 September 2012
Event ESMO Congress 2012
Session Publication Only
Topics Supportive measures
Presenter Regina Buschmann-Maiworm
Authors R.E. Buschmann-Maiworm1, W. Baumann1, A. Zimmermann1, S. Schmitz2, U.R. Kleeberg3
  • 1Winho, WINHO, 50676 - Cologne/DE
  • 2Hämatologie Und Onkologie, Gemeinschaftspraxis, 50676 - Cologne/DE
  • 3Hämatologie & Onkologie Und Palliativmedizin, Hämatologisch-onkologische Praxis Altona HOPA, Hamburg/DE



WINHO is an oncologist-led research department working on quality improvement and assurance and health care services research for out-patient care in Germany. A quality indicator project started in the middle of 2009. The project consists of 3 main parts: A) development of relevant measures, B) feasibility test, C) pilot study. QOPI is an important model for the scope of application and the methodological approach of the WINHO project. Taking into account the unique needs of the German health care system, a set of 46 relevant, evidence and consensus based quality measures has been developed. This was done with reference to internationally available indicator systems (QOPI, PQRSI and other sources). 13 measures were newly developed by WINHO. This presentation is about the feasibility test (part B) of the WINHO quality indicator project.


The feasibility analysis consists of 4 elements: 1. feasibility ratings of the expert panel (n = 15) in the RAND/UCLA procedure during part A of the project, 2. distribution of a feasibility questionnaire among office-based oncologists, 3. semi-structured depth interviews with 7 office-based oncologists, 4. randomized, retrospective chart abstraction from 59 charts for all 46 measures.


2176 feasibility questionnaires went into statistical analysis (response rate 50 %). Results from the questionnaire, interviews and trial chart abstraction show that the main problem lies within the retrieval of data from charts. Reasons for these findings may be the use of different electronic documentation systems, individual documentation habits and/or documentation of crucial information in running text. The estimated time to retrieve all data to calculate an indicator varies widely. A pilot study about the implementation of a routine data collection already started. (Supported by Deutsche Krebshilfe e. V.).


All authors have declared no conflicts of interest.