Literature DB >> 16785775

Performance of the pictorial representation of illness and self measure in individuals with alcohol dependence, alcohol abuse or at-risk drinking.

Susa Reinhardt1, Gallus Bischof, Janina Grothues, Ulrich John, Hans-Jürgen Rumpf.   

Abstract

BACKGROUND: The impact of chronic illnesses is not only influenced by one's physical functioning but also by its subjective importance to the individual's life. However, it is often difficult to asses such an impact in an appropriate way. PRISM (pictorial representation of illness and self measure) measures the perception of illness and first data on its validity have been published. The aim of the present study was to prove the applicability of PRISM regarding alcohol-dependent patients. Therefore, a comparison was made between alcohol-dependent patients, alcohol abusers and at-risk drinkers.
METHOD: The sample consisted of 763 general practice patients, who scored above the cutoff in alcohol-related screening questionnaires. Of this sample, 330 were diagnosed as alcohol dependent, alcohol abusers (both according to DSM-IV) or at-risk drinkers. To prove the applicability, PRISM was put in context with the severity of alcohol dependence and the core constructs of the transtheoretical model of behavior change.
RESULTS: PRISM was related to the severity of the drinking problem: the severer the drinking problem, the shorter the distance between self and illness. High correlations with aspects of alcohol consumption - such as adverse consequences from drinking, temptation to drink, and self-efficacy to abstain - were found. Concerning stages of change according to the transtheoretical model of behavior change, data show a significant difference in the self-illness separation between patients in the stage of contemplation compared to those in the precontemplation or action stage.
CONCLUSIONS: The PRISM task is applicable to patients with alcohol use disorders. Within this group and in contrast to other chronic diseases, PRISM reveals a significant relationship not only to the severity of drinking, but also to the readiness to change one's drinking behavior.

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Mesh:

Year:  2006        PMID: 16785775     DOI: 10.1159/000092896

Source DB:  PubMed          Journal:  Psychother Psychosom        ISSN: 0033-3190            Impact factor:   17.659


  6 in total

1.  Suffering in long-term cancer survivors: an evaluation of the PRISM-R2 in a population-based cohort.

Authors:  Vicky Lehmann; Simone Oerlemans; Lonneke V van de Poll-Franse; Ad J J M Vingerhoets; Floortje Mols
Journal:  Qual Life Res       Date:  2011-04-16       Impact factor: 4.147

2.  Graphic representation of the burden of suffering in dizziness patients.

Authors:  Steffi Weidt; Annette Beatrix Bruehl; Hanspeter Moergeli; Dominik Straumann; Stefan Hegemann; Stefan Büchi; Michael Rufer
Journal:  Health Qual Life Outcomes       Date:  2014-12-19       Impact factor: 3.186

3.  PRISM (Pictorial Representation of Illness and Self-Measure) as Visual Tool to Support Oral Health Education Prior to Endoprosthetic Joint Replacement-A Novel Approach in Dentistry.

Authors:  Gerhard Schmalz; Laura Schmidt; Rainer Haak; Stefan Büchi; Szymon Goralski; Andreas Roth; Dirk Ziebolz
Journal:  J Clin Med       Date:  2022-04-29       Impact factor: 4.241

4.  PRISM: A Novel Visual Instrument to Facilitate Self-Reflection and Learning Progress in Undergraduate Dental Education.

Authors:  Gerhard Schmalz; Tom Sensky; Henrike Kullmann; Stefan Büchi; Dirk Ziebolz
Journal:  Biomed Res Int       Date:  2022-08-16       Impact factor: 3.246

5.  Pictorial Representation of Illness and Self Measure Revised II (PRISM-RII): a novel method to assess perceived burden of illness in diabetes patients.

Authors:  Sandor Klis; Ad J J M Vingerhoets; Maartje de Wit; Noortje Zandbelt; Frank J Snoek
Journal:  Health Qual Life Outcomes       Date:  2008-11-27       Impact factor: 3.186

Review 6.  PRISM, a Novel Visual Metaphor Measuring Personally Salient Appraisals, Attitudes and Decision-Making: Qualitative Evidence Synthesis.

Authors:  Tom Sensky; Stefan Büchi
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

  6 in total

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