Post on 15-Apr-2017
Angie Rees, Suzy Paisley, John Brazier, Anna Cantrell, Edith Poku, Kath Williams ScHARR, University of Sheffield, November 2013
s.paisley@sheffield.ac.uk
ruth.wong@sheffield.ac.uk
www.facebook.com/scharrsheffield
School Of
Health
And
Related
Research
ScHARRHUD Health Utilities Database
@scharrhud
@scharrheds
OBJECTIVES: The objective of this project is to develop a
database providing access to bibliographic details of studies
containing health state utility values generated using the EQ-5D
and other preference-based instruments.
RESULTS:
• ScHARRHUD alpha
contains over 3,500
potentially relevant studies.
• Several hundred studies
have been data extracted
and indexed.
• 150+ measures, including
generic preference-based,
general wellbeing and
health status and condition-
specific measures have
been indexed.
•A beta version of the
database, using bespoke
software (Metaxis™) is
currently undergoing ad
hoc testing. Public access
is planned for autumn
2013.
(Figure 2.)
Identify EQ-5D studies
(Medline search and existing systematic reviews)
Create ScHARRHUD database
(alpha version)
Sift to identify studies reporting HSUVs
Extract names of all instruments used in studies
Create searchable index of instrument names
Fig 1. Database development process
METHODS: The initial project phase focuses on the EQ-5D. An
alpha version of the database was created using Mendeley™
software. A corpus of potentially relevant studies was identified via
Medline™ and by sifting reference lists of systematic reviews of
HSUVs in a range of conditions. Bibliographic details of studies
were included if they contained estimates of HSUVs. The names
of instruments used in the studies, including and in addition to the
EQ-5D, were extracted and added to the database to create a
searchable index of instruments. (Figure 1.)
ScHARRHUD
• is an innovative database aimed at improving
access to health utilities evidence.
• is aimed at anybody who undertakes or who uses
health technology assessments (HTAs).
• holds bibliographic details of studies reporting
health state utility values (HSUVs).
• is searchable by the names of health state
valuation instruments used in each study.
•this level of indexing aims to make the retrieval of
health utilities evidence both more efficient and
effective.
•whilst the focus is on generic, preference-based
measures, such as the EQ-5D, the database
extracts and indexes the names of all instruments
used in studies.
CONCLUSIONS: ScHARRHUD aims to improve
efficiency and effectiveness in HSUV evidence
retrieval in studies using the EQ-5D, with a view to
increasing database coverage to include all major
preference-based utility measures.
BACKGROUND: The retrieval of studies containing evidence of
health state utility values is problematic using generic bibliographic
databases such as Medline ™. This is due to a lack of standardised
search vocabulary and inadequate indexing.
ScHARRHUD alpha version contains 500+
studies identified as relevant
150+ instrument names
extracted and indexed
Generic preference-based
measures
General wellbeing and health
status measures
Condition-specific measures
ScHARRHUD beta version publicly
accessible from autumn 2013
Figure 2: Results
Acknowledgements:
ScHARRHUD alpha was
funded by the NIHR RDS
Yorkshire and Humber