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Measuring the impact of alcohol-related disorders on quality of life through general population preferences

Overview of attention for article published in Gaceta Sanitaria, November 2016
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Title
Measuring the impact of alcohol-related disorders on quality of life through general population preferences
Published in
Gaceta Sanitaria, November 2016
DOI 10.1016/j.gaceta.2016.07.011
Pubmed ID
Authors

Eva Rodríguez-Míguez, Jacinto Mosquera Nogueira

Abstract

To estimate the intangible effects of alcohol misuse on the drinker's quality of life, based on general population preferences METHODS: The most important effects (dimensions) were identified by means of two focus groups conducted with patients and specialists. The levels of these dimensions were combined to yield different scenarios. A sample of 300 people taken from the general Spanish population evaluated a subset of these scenarios, selected by using a fractional factorial design. We used the probability lottery equivalent method to derive the utility score for the evaluated scenarios, and the random-effects regression model to estimate the relative importance of each dimension and to derive the utility score for the rest of scenarios not directly evaluated. Four main dimensions were identified (family, physical health, psychological health and social) and divided into three levels of intensity. We found a wide variation in the utilities associated with the scenarios directly evaluated (ranging from 0.09 to 0.78). The dimensions with the greatest relative importance were physical health (36.4%) and family consequences (31.3%), followed by psychological (20.5%) and social consequences (11.8%). Our findings confirm the benefits of adopting a heterogeneous approach to measure the effects of alcohol misuse. The estimated utilities could have both clinical and economic applications.

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The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Doctoral Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Nursing and Health Professions 1 25%
Social Sciences 1 25%
Unknown 2 50%