A three step process to the search is recommended including:
The search strategy development phase should begin with an initial, restricted exploration of a few relevant databases. During this phase, use a concise set of search terms and review the search results to identify additional keywords and indexing terms used in article descriptions. It is also beneficial at this stage to refer to previously identified relevant papers to identify potential search terms and verify that the final search strategy will successfully retrieve these papers.
A systematic search using all identified keywords and index terms across all included databases. See the Searching Databases and Search Translation tabs in this guide.
Searching the reference lists of all identified papers. See the Supplementary Searching tab in this guide.
JBI Manual for Evidence Synthesis Chapter 11.2.5 Search Strategy
PRISMA ScR - Information Sources Tip Sheet PDF
PRISMA ScR - Search Tip Sheet PDF
The Systematic Searching for Health and Medicine tutorial is a self-paced resource that will step you through the process of developing a search strategy from research question to exporting search results
University of Melbourne Staff and Students only
Enrol in the self-paced Finding Grey Literature Tutorial (Canvas) and step through the modules explaining the different types of grey literature and how to find them.
University of Melbourne Staff and Students only
The Text Mining for Search Strategy Development Guide lists a range of tools for helping to develop a search strategy
The databases you search will depend on your research question. As a general rule, it is recommend to at least include Medline and Embase which are both available on the Ovid platform.
If your question is related to:
Medicine and Healthcare |
CINAHL (Ebsco) |
Nursing or Allied Health | |
Education | |
Physiotherapy | |
Psychology or Psychiatry | |
Multidisciplinary |
See subject specific LibGuides for further database recommendations
Tips
Most databases offer a thesaurus or list of available subject headings that can be allocated to an article by the author or indexer.
Use of the preferred term is a powerful and controlled way of directly accessing most if not all of the material within a field of study. The lists of preferred terms in Medline (MeSH), Embase (Emtree) and Psycinfo are particularly extensive. Each is a hierarchical arrangement of broader terms, preferred and related terms, and narrower terms, designed to map the context and content of their respective fields.
In the OVID versions of Medline, Embase and Psycinfo the Search Tools feature offers a Map Term function for looking up the preferred term(s) for a given topic.
Boolean searching looks for the presence or absence of words in the fields of a record, or the text of a document.
Proximity searching allows better control of the relevance of concepts by adjusting their proximity to one another. If the concepts occur close together in a sentence or paragraph, the topics are more likely to be relevant than if they are widely separated.
Most database platforms offer proximity operators to specify word order and separation. Check the help system of the database you are using and look for proximity to find information on how to apply it correctly.
Replace # with the maximum number of words to occur between the two concepts.
Ebsco |
N# for words in any order, or W# for words in the specified order |
Example: biopolar W2 disorder |
Informit |
%# for words in any order or !# for words in the specified order |
Example: tertiary !5 education |
Ovid (Medline, Embase, PsycInfo) |
ADJ# |
Example: (bleed* or hemmorrhag* or haemorrhag*) ADJ3 (cerebral or brain) |
ProQuest (ASSIA, Dissertations and Theses Global, Social Service Abstracts) |
NEAR/# or N/# for words in any order or PRE/# for words in the specified order |
Example: nursing NEAR/3 education |
Scopus |
W/# for words in any order, or PRE/# for words in the specified order |
Example: (indigenous OR aboriginal) W/3 health |
Web of Science |
NEAR/# |
Example: (pluripotent OR multipotent) NEAR/2 "stem cells" |
The Systematic Searching for Health and Medicine tutorial is a self-paced resource that will step you through the process of developing a search strategy from research question to exporting search results
University of Melbourne Staff and Students only
Citation searching (also known as Citation Chaining, Pearl Growing or Snowballing) involves searching backwards in time from when a paper was published by viewing the references (reference list searching) or forwards in time (citation searching) for articles that have cited a paper after it was published.
In a scoping review, functionality of the databases below is useful for the third stage of the search process which involves checking the reference lists of identified papers.
The following are citation databases that allow backwards and forwards citation chaining.
Grey literature is "Information produced on all levels of government, academics, business and industry in electronic and print formats not controlled by commercial publishing i.e. where publishing is not the primary activity of the producing body." CGL Luxembourg definition, 1997-expanded in New York, 2004.
When conducting a scoping review, it is important to include grey literature in your search strategy to ensure that you are capturing all relevant information. The Cochrane, JBI, and PRISMA guidelines highly recommend or mandate searching for grey literature as part of the review process.
The Joanna Briggs Institute (JBI) Reviewer's Manual provides guidance on conducting systematic reviews and other types of evidence syntheses, and emphasises the importance of searching for grey literature to identify unpublished and hard-to-find studies.
See:
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines provide a framework for reporting systematic reviews and include a checklist item that calls for reporting the search strategy used for grey literature.
See: PRISMA for Scoping Reviews
The Grey Literature for Health Sciences and Medicine LibGuide provides information and resources to assist with searching for a wide range of Grey Literature types.
Enrol in the self-paced Finding Grey Literature Tutorial (Canvas) and step through the modules explaining the different types of grey literature and how to find them.
University of Melbourne Staff and Students only
Each database service has it's own set of rules for entering queries and moving from one to another can be quite daunting. Follow these steps to transition from one to another.
Keep these lines the same across systems if possible. Check each line with an AND search of a single key term to see whether the result set is affected by the content of the database and some terms won't work well with the database. Put OR commands in uppercase and phrases in quotation marks (e.g. phototherapy OR "light therapy")
For specific subject headings or groups of subject headings (exploded subject headings) check the terms using any subject mapping tool in the service to see what equivalent terms are used. If nothing is suitable, consider using the term as a keyword instead. Check the result set returned by any exploded subject headings. Different systems can have major differences between what is included in a specific subject heading group which can play havoc with result numbers. If using the Embase database consider if you need every mention of the term. If not, use the major subject heading term by adding an asterisk before the term (e.g. *phototherapy/). Embase in particular adds a lot of indexing terms and can over-saturate your search strategy with minor subject headings.
If using proximity searches, read the details in the database help about how the system does proximity search. Each system is different and some systems will not be able to repeat some searches.
Combine your search lines using whatever option for this exists on the system. Each system has their own way of doing this and it is easiest to use check-boxes and "Combine Sets" options than trying to work out the right way to write it in the search box.
Leave your limits to last. Not every item in any database is fully indexed so take care when applying limits that your search results are not significantly lower than you expect. Consider doing a NOT search between the result before the limit is applied and after the limit is applied. This will create a set of excluded items and can be checked to see if the database has consistently applied the limit to all records. Generally, language and year limits are fine. Limits on publication type, experimental design, human/animal studies, clinical trials, discipline field and other areas can be less consistently applied to all items in the database and can affect the final result of your review.
Ebsco Databases = CINAHL, ERIC, SocINDEX, SPORTDiscus
Ovid Databases = Medline, Embase, Emcare, PsycINFO
Truncation |
Ebsco Databases |
Ovid Databases |
Scopus |
Web of Science |
---|---|---|---|---|
*Adds any number of characters after * e.g. phototherap* Truncation within phrases supported e.g. "light therap*"
|
*Adds any number of characters after * e.g. phototherap* Truncation within phrases supported e.g. light therap*
|
*Adds any number of characters after * e.g. phototherap* Truncation within phrases supported e.g. "light therap*"
|
*Adds any number of characters after * e.g. phototherap* Truncation within phrases supported e.g. "light therap*"
|
Wildcards |
Ebsco Databases |
Ovid Databases |
Scopus |
Web of Science |
---|---|---|---|---|
#Where an alternate spelling might contain an extra character
e.g. colo#r will retrieve color or colour Wildcards are not allowed as the first character in a search term
|
?0 or 1 alphanumeric character within a word or at the end of a word. Where an alternate spelling might contain an extra character e.g. colo?r will retrieve color or colour
|
?Represents any single character
|
? $? Represents any single character At least 3 characters must precede the wildcard
|
Phrase Search |
Ebsco Databases |
Ovid Databases |
Scopus |
Web of Science |
---|---|---|---|---|
" " e.g. "bed sore"
|
" "
|
" " or { } "bed sore" = singular or plural form
|
" " e.g. "bed sore" = exact term
|
Proximity Search |
Ebsco Databases |
Ovid Databases |
Scopus |
Web of Science |
---|---|---|---|---|
Nn finds the words if they are within n words of each other in either word order e.g. pressure N3 ulcer Wn
|
ADJn finds the words if they are within n -1 word of each other in either word order e.g. pressure adj4 ulcer Note—Differs from other databases where the addition of one is required for exact translation.
|
W/n finds the words if they are within n words of each other in either word order e.g. pressure W/3 ulcer PRE/n |
NEAR/n finds the words if they are within n words of each other in either word order
NEAR
|
Subject Headings |
Ebsco Databases |
Ovid Databases |
Scopus |
Web of Science |
---|---|---|---|---|
Yes
Example in search - CINAHL
|
Yes
Example in search – Medline
|
Subject Headings are available for most records. No mapping or explode options. INDEXTERMS (Phototherapy) in Advanced Search KEY (Phototherapy) in Advanced Search for Subject Headings or Author Keyword
|
No
AK= Phototherapy in Advanced Search
|
Search Fields |
Ebsco Databases |
Ovid Databases |
Scopus |
Web of Science |
---|---|---|---|---|
In Title TI Phototherapy
In Abstract AB Phototherapy
In Title or Abstract TI Phototherapy OR AB Phototherapy
Default – Unqualified Phototherapy “Select a field – Optional” For CINAHL - Searches in:
|
In Title Phototherapy.ti.
In Abstract Phototherapy.ab.
In Title or Abstract Phototherapy.ti,ab.
phototherapy.mp.
Each database can have a different default set but will always include Title, Abstract and Subject Headings
|
In Title TITLE (phototherapy)
In Abstract ABS (phototherapy)
In Title or Abstract ( TITLE ( phototherapy ) OR ABS ( phototherapy ) ) Article Title, Abstract, Keywords TITLE-ABS-KEY (phototherapy)
|
In Title
TI=phototherapy OR AB=phototherapy
Topic TS=phototherapy Searches in Title, Abstract, Author Keywords, Keywords Plus
|
Search Example |
CINAHL |
Medline (Ovid) |
Scopus |
Web of Science |
---|---|---|---|---|
S1 phototherap* S2 "light therap*" S3 laser* N3 therap* S4 (MH "Phototherapy") S5 S1 OR S2 OR S3 OR S4 S6 pressure N2 (ulcer* OR sore*) S7 "bed sore*" S8 bedsore* S9 S6 OR S7 OR S8 S10 S5 AND S9
|
1 phototherap*.mp. 2 light therap*.mp. 3 laser* adj4 therap*.mp. 4 Phototherapy/ 5 1 OR 2 OR 3 OR 4 6 pressure adj3 (ulcer* OR sore*).mp. 7 bed sore*.mp. 8 bedsore*.mp. 9 6 OR 7 OR 8 10 5 AND 9
|
#1 TITLE-ABS-KEY (phototherap*) #2 TITLE-ABS-KEY ("light therap*") #3 TITLE-ABS-KEY (laser W/3 therap*) #4 KEY (Phototherapy) #5 #1 OR #2 OR #3 OR #4 #6 TITLE-ABS-KEY (pressure W/3 (ulcer* OR sore*)) #7 TITLE-ABS-KEY ("bed sore*") #8 TITLE-ABS-KEY (bedsore*) #9 #6 OR #7 OR #8 #10 #5 AND #9
|
#1 TS= phototherap* #2 TS= "light therap*" #3 TS= (laser NEAR/3 therap*) #4 #1 OR #2 OR #3 #5 TS= (pressure NEAR/3 (ulcer* OR sore*)) #6 TS= "bed sore*" #7 TS= bedsore* #8 #5 OR #6 OR #7 #9 #4 AND #8 Note – Line 4 from the other searches was excluded in this search as there are no subject headings in Web of Science. Note – Entered in Advanced Search using Search History to combine queries for lines 4, 8 and 9
|