Filters to Identify Studies of Public Views and Patient Experiences

Inclusion of a search filter on this site is not an endorsement of its validity or a recommendation for its use by the editors of this site, by the InterTASC Information Specialists SubGroup or by the (UK) National Institute for Health and Care Excellence (NICE). For suggestions on the appraisal of filters see the ISSG Search Filter Appraisal Checklist.
Database Filter
CINAHL SIGN - patient issues [undated] [Ovid]

ISSG search filter appraisal (pdf)

EMBASE Wessels M, Hielkema L, van der Weijden T. How to identify existing literature on patients' knowledge, views, and values: the development of a validated search filter. J Med LibrAssoc. 2016;104(4):320-324

SIGN - patient issues [undated] [Ovid]

ISSG search filter appraisal (pdf)


Wessels, M, Hielkema, L. How are we feeling today? The sensitivity of a literature search filter for patients' values and preferences. BMJ Qual Saf. 2013. 22; Suppl 1:A33.2

MEDLINE

Rogers M, Bethel A, Boddy K. Development and testing of a medline search filter for identifying patient and public involvement in health researchHealth Info Libr J. 2017 Jan 1. doi: 10.1111/hir.12157. [Epub ahead of print]

Wessels M, Hielkema L, van der Weijden T. How to identify existing literature on patients' knowledge, views, and values: the development of a validated search filter. J Med Libr Assoc. 2016;104(4):320-324

van Hoorn R, Kievit W, Booth A, Mozygemba K, Lysdahl KB, Refolo P, Sacchini D, Gerhardus A, van der Wilt GJ, Tummers M.The development of PubMed search strategies for patient preferences for treatment outcomesBMC Med Res Methodol. 2016;16:88. 


SIGN - patient issues [undated] [Ovid]

ISSG search filter appraisal (pdf)

Wessels, M, Hielkema, L. How are we feeling today? The sensitivity of a literature search filter for patients' values and preferences. BMJ Quali Saf. 2013. 22; Suppl 1:A33.2

PsycINFO SIGN - patient issues [undated] [Ovid]

ISSG search filter appraisal (pdf)


See also the qualitative research search filters which can be used to identify studies reporting patient issues/preferences and the quality of life search filters to identify studies on how patient well-being is affected by a technology.