Literature DB >> 27826660

[Evaluation of the decision aid "Entscheidungshilfe Prostatakrebs" from the patients' view : Results from the first three months].

C Groeben1, A Ihrig2, T Hölscher3, T Krones4, E Kessler5, S Kliesch6, C Wülfing7, R Koch8, M P Wirth1, J Huber9.   

Abstract

BACKGROUND: The decision aid "Entscheidungshilfe Prostatakrebs" is available online free of charge since June 2016. It is designed to support patients with their treatment decision-making and to lighten the burden on their treating urologists. This study evaluates usage data from the first 3 months.
MATERIALS AND METHODS: The ICHOM standard set was applied to allow a personalised presentation and to collect relevant data for subsequent counselling. Additionally, personal preferences and psychological burden were assessed amongst others. We collected anonymous data. A multivariate model evaluated predictors for high user satisfaction.
RESULTS: From June through August 2016 a total of 319 patients used the decision aid, showing a continuous monthly increase in the number of users. There were n = 219 (68.7%) complete questionnaires. Median age was 66.1 ± 8.0 years. The oncological risk was low in 30.3%, intermediate in 43.6% and high in 26.1%. A majority of 57.5% used the decision aid together with their partner, 35.1% alone and 5.5% with their children. In all, 54.8% were "very satisfied" and 32.0% were "satisfied" with the decision aid for a total satisfaction rate of about 87%. The only predictors of total satisfaction were the usage mode and reported distress level.
CONCLUSIONS: As shown by the continuously increasing number of users this decision aid is becoming well established in German urology. Patients' overall ratings are very positive. The majority of patients use the decision aid with their partner. This represents a significant advantage of a multimedia approach compared to print media.

Entities:  

Keywords:  Decision aid; Health services research; Internet; Prostate cancer; Urology

Mesh:

Year:  2016        PMID: 27826660     DOI: 10.1007/s00120-016-0265-4

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  16 in total

1.  Validation and testing of the Acceptability E-scale for web-based patient-reported outcomes in cancer care.

Authors:  Joseph D Tariman; Donna L Berry; Barbara Halpenny; Seth Wolpin; Karen Schepp
Journal:  Appl Nurs Res       Date:  2009-09-18       Impact factor: 2.257

2.  The American Urological Association symptom index for benign prostatic hyperplasia. The Measurement Committee of the American Urological Association.

Authors:  M J Barry; F J Fowler; M P O'Leary; R C Bruskewitz; H L Holtgrewe; W K Mebust; A T Cockett
Journal:  J Urol       Date:  1992-11       Impact factor: 7.450

3.  An ultra-brief screening scale for anxiety and depression: the PHQ-4.

Authors:  Kurt Kroenke; Robert L Spitzer; Janet B W Williams; Bernd Löwe
Journal:  Psychosomatics       Date:  2009 Nov-Dec       Impact factor: 2.386

4.  [Good practice guidelines for health information].

Authors: 
Journal:  Z Evid Fortbild Qual Gesundhwes       Date:  2016-01-13

5.  Treatment decision-making in localized prostate cancer: why patients chose either radical prostatectomy or external beam radiation therapy.

Authors:  Andreas Ihrig; Monika Keller; Mechthild Hartmann; Jürgen Debus; Jesco Pfitzenmaier; Boris Hadaschik; Markus Hohenfellner; Wolfgang Herzog; Johannes Huber
Journal:  BJU Int       Date:  2011-03-16       Impact factor: 5.588

Review 6.  Patient decision aids for prostate cancer treatment: a systematic review of the literature.

Authors:  Grace A Lin; David S Aaronson; Sara J Knight; Peter R Carroll; R Adams Dudley
Journal:  CA Cancer J Clin       Date:  2009-10-19       Impact factor: 508.702

7.  Decision making during serious illness: what role do patients really want to play?

Authors:  L F Degner; J A Sloan
Journal:  J Clin Epidemiol       Date:  1992-09       Impact factor: 6.437

8.  Development and validation of a prognostic index for 4-year mortality in older adults.

Authors:  Sei J Lee; Karla Lindquist; Mark R Segal; Kenneth E Covinsky
Journal:  JAMA       Date:  2006-02-15       Impact factor: 56.272

9.  Predicting 10-year mortality for older adults.

Authors:  Marisa Cruz; Kenneth Covinsky; Eric W Widera; Irena Stijacic-Cenzer; Sei J Lee
Journal:  JAMA       Date:  2013-03-06       Impact factor: 56.272

10.  Acceptance of shared decision making with reference to an electronic library of decision aids (arriba-lib) and its association to decision making in patients: an evaluation study.

Authors:  Oliver Hirsch; Heidemarie Keller; Tanja Krones; Norbert Donner-Banzhoff
Journal:  Implement Sci       Date:  2011-07-07       Impact factor: 7.327

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  3 in total

1.  [Shared decision-making in prostate cancer patients].

Authors:  S Gröger; C Mäder-Porombka; C Stang; S Wallacher
Journal:  Urologe A       Date:  2019-11       Impact factor: 0.639

2.  [Evaluation of a prostate cancer E‑health tutorial : Development and testing of the website prostata-information.ch].

Authors:  R Schaffert; U Dahinden; T Hess; A Bänziger; P Kuntschik; F Odoni; P Spörri; R T Strebel; J Kamradt; G Tenti; A Mattei; M Müntener; S Subotic; H-P Schmid; P Rüesch
Journal:  Urologe A       Date:  2018-02       Impact factor: 0.639

3.  The Treatment Decision-making Preferences of Patients with Prostate Cancer Should Be Recorded in Research and Clinical Routine: a Pooled Analysis of Four Survey Studies with 7169 Patients.

Authors:  Andreas Ihrig; I Maatouk; H C Friederich; M Baunacke; C Groeben; R Koch; C Thomas; J Huber
Journal:  J Cancer Educ       Date:  2020-09-17       Impact factor: 1.771

  3 in total

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