What is the ISSG Search Filter Resource?
What are search filters?
Search filters are collections of search terms designed to retrieve selections of records. Search filters may be designed to retrieve records of research using a specific study design or by topic or by some other feature of the research question.
Filters may have a very specific focus or may be high level. Search filters may be designed to maximise sensitivity (or recall) or to maximise precision (and reduce the number of irrelevant records that need to be assessed for relevance).
The methods used to compile search filters should be clearly described by the authors and critical assessment by users is also required. Search filters are not quality filters and all search results require assessment for quality. All search filters and all search strategies are compromises and an assessment of the performance of filters for your own research should always be made.
What is the ISSG Search Filter Resource?
This resource lists known filters of interest to researchers producing technology assessments. Filters are usually published for a specific database interface. Often these filters are 'translated' or adapted to run on different interfaces to the database. Where these 'translations' are known, links will be offered.
To avoid potential duplication of effort and to encourage testing and use of new filters, the site also offers detail of research in progress and known completed but as yet unpublished filters. Other information retrieval research such as reviews of search filters is also offered.
Publicising the ISSG Search Filter Resource
The editorial team have presented information about the ISSG Search Filter Resource at conferences and workshops:
Australian Library and Information Association webinar 12 Sept. 2023.
Health Technology Assessment international (HTAi) Information Retrieval Group 1 June 2023: webinar (IRG website) or webinar on YouTube
The International Congress of Medical Librarianship 15-19 March 2022: poster
The International Clinical Librarians Conference Lite Nov 11 2021 : presentation
Poster presented at EAHIL 2021.
MLA lightning talk 2021.
A webinar on search filters presented by Julie Glanville is available (March 2017) entitled 'Search filters - what are they good for?'
The 2016 cilip Health Libraries Group conference Scarborough 15th and 16th September. Poster is available.
How do we keep the ISSG Search Filter Resource up to date?
To keep the resource up to date, the ISSG Search Filter Resource editorial team search for new publications on a regular basis. We acknowledge past assistance from NHS Quality Improvement Scotland and the UK Cochrane Centre.
Our search process is described below.
We are currently searching the MEDLINE ALL database via Ovid on a monthly basis to identify new articles about search filters. We are using this search strategy, updated from December 2023 onwards:
1 "information storage and retrieval"/ or exp pubmed/ or medline/
2 ((search$ or methodological or qualitative or study design$) adj2 (filter$ or hedge$)).ti,ab,kf.
3 ((sensitivity or recall or specificity or precision or predictive or performance) adj4 (search$ or strateg$ or filter$ or hedge$)).ti,ab,kf.
4 or/1-3
5 ((expert or special) adj4 (search$ or hedge$ or filter$ or quer$)).ti,ab,kf.
6 (Ovid or Elsevier or Proquest or Ebsco or Wiley or Clarivate or Medline or PubMed or Embase or CINAHL or Web of Science or Scopus ).ti,ab,kf.
7 5 and 6
8 ((search build$ or clinical quer$ or search filter$) adj4 (Ovid or Elsevier or Proquest or Ebsco or Wiley or Clarivate or Medline or PubMed or Embase or CINAHL or Web of Science or Scopus )).ti,ab,kf.
9 ((inbuilt or in built) adj4 (search$ or hedge$ or filter$ or quer$)).ti,ab,kf.
10 7 or 8 or 9
11 exp Artificial Intelligence/
12 ("AI" or comput$ Intelligence or comput$ reasoning or machine Intelligence).ti,ab.
13 exp Machine Learning/
14 ((machine or transfer or algorithmic) adj2 Learning).ti,ab.
15 ("neural networks" or "natural language processing" or 'llm*$ or large language model$ ).ti,ab.
16 11 or 12 or 13 or 14 or 15
17 ((expert or special) adj4 (search$ or hedge$ or filter$ or quer$)).ti,ab,kf.
18 (search build$ or clinical quer$ or search filter$).ti,ab,kf.
19 17 or 18
20 16 and 19
21 4 or 10 or 20
In addition we search the MEDLINE ALL database (via Ovid) for the most commonly published authors in the search filters literature with the following strategy:
(haynes r or haynes rb).au.
(wilczynski n or wilczynski nl).au.
arber m.au.
lefebvre c.au.
golder s.au.
(mckibbon k or mckibbon ka).au.
hausner e.au.
waffenschmidt s.au.
(loke y or loke yk).au.
fraser c.au.
(wright j or wright jm).au.
(heran b or heran bs).au.
lunny c.au.
mcdonald s.au.
duffy s.au.
booth a.au.
finnegan a.au.
(hooijmans c or hooijmans cr).au.
(glanville j or glanville jm).au.
hudson t.au.
mintzes b.au.
ayiku l.au.
kastner m.au.
levay p.au.
(mcintosh h or mcintosh hm).au.
(tieman j or tieman jj).au.
puil l.au.
(wong s or wong ss).au.
cooper c.au.
dooley g.au.
dickersin k.au.
mckenzie j.au.
harbour j.au.
mccool r.au.
leeflang m.au.
royle p.au.
wright k.au.
mierzwinski urban m.au.
leenaars m.au.
waugh n.au.
clarke m.au.
liu t.au.
licata g.au.
or/1-43
We search Embase (via Ovid) monthly using the following search strategy, updated from December 2023 onwards:
1 *Information retrieval/
2 ((search$ or methodological or qualitative or study design$) adj2 (filter$ or hedge$)).ti,ab,kf.
3 ((sensitivity or recall or specificity or precision or predictive or performance) adj4 (search$ or strateg$ or filter$ or hedge$)).ti,ab,kf.
4 or/1-3
5 ((expert or special) adj4 (search$ or hedge$ or filter$ or quer$)).ti,ab,kf.
6 (Ovid or Elsevier or Proquest or Ebsco or Wiley or Clarivate or Medline or PubMed or Embase or CINAHL or Web of Science or Scopus ).ti,ab,kf.
7 5 and 6
8 ((search build$ or clinical quer$ or search filter$) adj4 (Ovid or Elsevier or Proquest or Ebsco or Wiley or Clarivate or Medline or PubMed or Embase or CINAHL or Web of Science or Scopus )).ti,ab,kf.
9 ((inbuilt or in built) adj4 (search$ or hedge$ or filter$ or quer$)).ti,ab,kf.
10 7 or 8 or 9
11 exp Artificial Intelligence/
12 ("AI" or comput$ Intelligence or comput$ reasoning or machine Intelligence).ti,ab.
13 exp *Machine Learning/
14 ((machine or transfer or algorithmic) adj2 Learning).ti,ab.
15 ("neural networks" or "natural language processing" or 'llm$1 or large language model$).ti,ab.
16 11 or 12 or 13 or 14 or 15
17 ((expert or special) adj4 (search$ or hedge$ or filter$ or quer$)).ti,ab,kf.
18 (search build$ or clinical quer$ or search filter$).ti,ab,kf.
19 17 or 18
20 16 and 19
21 4 or 10 or 20
We use the focused subject heading in line 1 as it reduces the number of irrelevant records without impacting substantially on the recall of relevant records.
Since 2013 we have searched CINAHL (via EBSCO) on a monthly basis to identify new articles about search filters. We are using this search strategy, updated from January 2024 onwards:
S1 (MH Information Retrieval) OR (MH "Information Storage") OR (MM "Reference Databases, Health+")
S2 TX (sensitivity OR recall OR specificity OR precision OR predictive OR performance) N4 (search* OR strateg* OR filter* OR hedge*)
S3 TX (search* OR methodological OR qualitative OR "study design") N4 (filter* OR hedge*)
S4 S1 OR S2 OR S3
S5 TX (expert OR special) N4 (search$ OR hedge$ OR filter$ OR quer$)
S6 TX (Ovid OR Elsevier OR Proquest OR Ebsco OR Wiley OR PubMed OR Medline OR Embase OR CINAHL OR “Web of Science” OR Scopus)
S7 S5 AND S6
S8 TX ("search build$" OR "clinical quer$" OR "search filter$") N4 (Ovid OR Elsevier OR Proquest OR Ebsco OR Wiley OR PubMed OR Medline OR Embase OR CINAHL OR “Web of Science” OR Scopus)
S9 TX (inbuilt OR "in built") N4 (search$ OR hedge$ OR filter$ OR quer$)
S10 S7 OR S8 OR S9
S11 (MH "Artificial Intelligence+")
S12 TX ("AI" OR "comput$ intelligence" OR "comput$ reasoning" OR "machine intelligence")
S13 TX (machine OR transfer OR algorithmic) N2 Learning
S14 TX ("neural networks" OR "natural language processing")
S15 S11 OR S12 OR S13 OR S14
S16 TX (expert OR special) N4 (search$ OR hedge$ OR filter$ OR quer$)
S17 TX ("search build$" OR "clinical quer$" OR "search filter$")
S18 S16 OR S17
S19 S15 AND S18
S20 S4 OR S10 OR S19
We use the focused subject heading "Reference Databases, Health+" in line 1 as it reduces the number of irrelevant records without impacting substantially on the recall of relevant records.
Scanning the table of contents of journals
We currently scan the following journals:
BMC Medical Research Methodology
Health Information & Libraries Journal
Information and Learning Sciences (previously New Library World)
International Journal of Technology Assessment in Health Care
Journal of Health Information and Libraries Australasia
Journal of the Medical Library Association
Library & Information Science Research
Research Synthesis Methods
Systematic Reviews
Cochrane Evidence Synthesis and Methods
Current awareness lists
We scan the the annual current awareness bulletin Important publications on the topic of Information Retrieval from the German Institute for Quality and Efficiency in Health Care (IQWiG) (from the 2021 edition onwards - English version) and the monthly alerting services from the UK's National Institute for Health and Care Excellence (NICE).
How can I assess the quality of a search filter?
The ISSG has developed a quality checklist to provide assessments of published filters designed to retrieve records by specific study design. This checklist has been published as:
Glanville J , Bayliss S, Booth A, Dundar Y, Fernandes H, Fleeman ND, Foster L, Fraser C, Fry-Smith A, Golder S, Lefebvre C, Miller C, Paisley S, Payne L, Price A, Welch K. So many filters, so little time: The development of a Search Filter Appraisal Checklist. Journal of the Medical Library Association. 2008; 96(4): 356-61.