Literature DB >> 16911631

Searching for diabetes decision aids and related background information.

M Lenz1, J Kasper, I Mühlhauser.   

Abstract

AIMS: Patient decision aids (DAs) are interventions designed to help patients making informed decisions. DAs are complex interventions comprising a number of active components each essential to the proper functioning of the aid. Critical appraisal of DAs therefore requires access to information describing the incremental assessment of each stage in their development, including information about the theoretical funding, development processes, efficacy trials and long-term implementation. We explored the feasibility of identifying such information with conventional database search strategies. Our study was conducted only in the field of diabetes care.
METHODS: The 'Inventory of Existing Patient Decision Aids', medline (PubMed) and the World Wide Web were used to identify DAs relevant for diabetes care. For tracking information concerning each developmental stage, the reference lists of the DAs, home pages of the authors, medline, embase, PsycINFO, cinahl, and the Cochrane database were searched systematically.
RESULTS: A total of 13 DAs relevant for diabetes care were identified. The search for publications concerning their development yielded more than 3000 results, only 10 of which referred to at least one of the 13 DAs. No additional background information was found on the home pages of the authors.
CONCLUSIONS: Conventional database search strategies do not allow the extraction of information about the stages in development of a DA. To facilitate critical appraisal of DAs, we propose the creation of an electronic database which provides information about available DAs, together with the relevant background literature, or to incorporate such a system into existing databases.

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Year:  2006        PMID: 16911631     DOI: 10.1111/j.1464-5491.2006.01917.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  6 in total

Review 1.  Decision aids for patients.

Authors:  Matthias Lenz; Susanne Buhse; Jürgen Kasper; Ramona Kupfer; Tanja Richter; Ingrid Mühlhauser
Journal:  Dtsch Arztebl Int       Date:  2012-06-04       Impact factor: 5.594

2.  Mismatch between health-care professionals' and patients' views on a diabetes patient decision aid: a qualitative study.

Authors:  Ping Yein Lee; Ee Ming Khoo; Wah Yun Low; Yew Kong Lee; Khatijah Lim Abdullah; Syahidatul Akmal Azmi; Chirk Jenn Ng
Journal:  Health Expect       Date:  2015-04-06       Impact factor: 3.377

3.  An evidence-based shared decision making programme on the prevention of myocardial infarction in type 2 diabetes: protocol of a randomised-controlled trial.

Authors:  Susanne Buhse; Tabitha Heller; Jürgen Kasper; Ingrid Mühlhauser; Ulrich Alfons Müller; Thomas Lehmann; Matthias Lenz
Journal:  BMC Fam Pract       Date:  2013-10-19       Impact factor: 2.497

4.  MATRIX - development and feasibility of a guide for quality assessment of patient decision aids.

Authors:  Matthias Lenz; Jürgen Kasper
Journal:  Psychosoc Med       Date:  2007-08-29

5.  Development of a patient decision aid for prevention of myocardial infarction in type 2 diabetes - rationale, design and pilot testing.

Authors:  Matthias Lenz; Jürgen Kasper; Ingrid Mühlhauser
Journal:  Psychosoc Med       Date:  2009-10-19

6.  Informed shared decision-making programme on the prevention of myocardial infarction in type 2 diabetes: a randomised controlled trial.

Authors:  Susanne Buhse; Ingrid Mühlhauser; Tabitha Heller; Nadine Kuniss; Ulrich Alfons Müller; Jürgen Kasper; Thomas Lehmann; Matthias Lenz
Journal:  BMJ Open       Date:  2015-11-13       Impact factor: 2.692

  6 in total

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