An assessment of economic measures used in menorrhagia: A systematic review
Sabina Sanghera,
Emma Frew (),
Joe Kai,
Janesh Gupta and
Tracy Elizabeth Roberts
Social Science & Medicine, 2013, vol. 98, issue C, 149-153
Abstract:
‘Menorrhagia’, or heavy menstrual bleeding, is a common problem affecting women. The principal driver for treatment is women's experience of its interference in their lives, so a measure of quality of life (QoL) is increasingly used as the primary outcome to assess treatment success. QoL measures need to accurately reflect women's concerns as these measures are often used to inform resource allocation decisions within the healthcare service. Healthcare decision-makers often advocate the use of generic measures so as to achieve consistency when making decisions. Generic measures, by definition, have a broad focus on QoL in contrast to disease-specific measures that focus on dimensions of health relevant to the condition. We report a systematic review of studies that have either used or assessed economic outcome measures in menorrhagia, and present criteria for assessing which measure is the most appropriate. Studies including women presenting with menorrhagia, and using or assessing economic measures were sought by searching nine electronic databases.
Keywords: Quality of life; Utility; Outcome measures; Menorrhagia; Heavy menstrual bleeding (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0277953613005224
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:98:y:2013:i:c:p:149-153
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
DOI: 10.1016/j.socscimed.2013.09.016
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().