Steven Chang Senior Research Advisor Library Science Health amp Engineering La Trobe University Patrick Condron Research Librarian Medicine Dentistry and Psychology University of Melbourne ID: 753888
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Slide1
Systematic Searching for Systematic Reviews
Steven Chang, Senior Research Advisor (Library – Science, Health & Engineering)La Trobe UniversityPatrick CondronResearch Librarian (Medicine, Dentistry and Psychology)University of MelbourneSlide2
Systematic Reviews Growth
CDSRSlide3
Systematic Reviews Growth
CDSRSlide4
You can get kids to eat more veggies!
Mette Mikkelsen et al. A systematic review of types of healthy eating interventions in preschools. Nutr J 13:56
Comprehensive interventions were more likely to succeed in behaviour change, especially when targeting children of low income familiesPreschools are a promising venue for increasing fruit and vegetable consumptionProperly designed interventions, with clear indicators and outcomes are scarceSlide5
Successful Multicomponent ProgramsSlide6
Effective communication for systematic reviewsSlide7
Effective communication for systematic reviews:What do they really want?
Are they really conducting a systematic review? Or do they want a narrative literature review?Slide8
Traditional narrative reviews may be at
high risk of bias
. Systematic reviews aim to
minimise this bias
.
Effective communication for systematic reviews:Slide9
Effective communication for systematic reviews:the research question
Invest in understanding the question deeplyTakes longer than you expect – may be complexSlide10
How is palliative care being used for patients with heart failure
?Is this the same as “terminal care”, or different?
Does this overlap with “heart attack” / “myocardial infarction?”
What study types are we looking for? randomised controlled trials? Or cohort studies? Reviews? Or all of the above and more?
Drug therapy? Or non-pharmacological studies?
Effective communication for systematic
reviews:
the research questionSlide11
Effective communication for systematic reviews:service scope
Establish clear expectationsHow deeply into the research process will you go?Consider…Scalability Staff – expert searching competencyStandards of service Who is eligible?Slide12
Effective communication for systematic reviews:articulating our expertiseSlide13
Effective communication for systematic reviews
Workshopping!It’s an iterative processLine-by-line tinkeringEncourage trial and error – it’s a science experiment!Slide14
Effective communication for systematic reviewsSlide15
Effective communication for systematic reviews
Reminding ourselves: this is their research, not oursBe mindful of this when encountering disagreements about search strategyBe assertive – but the final decision belongs to the researcher Slide16
Effective communication for systematic reviews:co-authorship
Do librarians deserve formal co-authorship?Expect uncertainty and pushbackCo-authorship is worth it Bolsters your professional record Raises the profile of librarians as expertsSlide17
Effective communication for systematic reviews:
co-authorshipSlide18
Question to Strategy
Population Intervention Comparison OutcomeSample ; Phenomenon of Interest ; Design ; Evaluation ; Research type Expectation ; Client group ; Location ; Impact ; Professionals ; ServiceLeeds Institute of Health Sciences : Search Concept Tools https://medhealth.leeds.ac.uk/info/639/information_specialists/1500/search_concept_tools
PICO
SPIDER
ECLIPSESlide19
Concept Development
Medical Education
Performance
AssessmentSlide20
Acronyms to Remember PRISMA, AMSTAR, PROSPEROSlide21
Prisma Checklist - SearchingSlide22
PRISMA Flow DiagramSlide23Slide24
Sources Used
Average 6 Databases SearchedSlide25
Sources Used
DatabasePediatrics (n=68)Pop Health (n=34)PubMed/Medline65
34PsycInfo
34
14
Cochrane (CENTRAL/DARE/CDSR)
31
15
CINAHL
32
14
Embase
31
17
Web of Science
32
9
Scopus126ERIC ; Google Scholar12
3Ebsco ; Proquest Central ; Proquest Dissertations and Theses ; ScienceDirect5 to 7Slide26
Sources Used
Developing Countries LILACS, WHOLIS, World Bank, Scielo, IMEMR, Global Health, African Index Medicus, PAHO, WPRIMEvaluation Health Technology Assessments, Health Economic Evaluations Database
, Health Policy Reference CenterGrey Literature /
Guidelines
OpenGrey
,
Oaister
,
GreyNet, National Guidelines Clearinghouse
, Guidelines International Network Indigenous Australian
Indigenous Health
InfoNet
, Australian Institute of
Aboriginal
and Torres Strait Islander Studies, First Nations Periodical
Index
Injuries TRANSPORT,
SafetyLitNutrition CAB Abstracts, Biosis, Food Science and Technology AbstractsPhysical
Activity SportDiscus, PedroSocial/Family ASSIA, Sociological Abstracts, Social Work Abstracts, Campbell Collaboration, SocIndex, NCJRS, Popline
, Social Care OnlineTrials clinicaltrials.gov, Current Controlled Trials, International Clinical Trials Register (ICTRP), MetaRegister
of Controlled TrialsSlide27
Proximity
(blood or plasma or rbc or wbc) N5 (transfus* or transfer)(food or nut or treenut or peanut* or milk or dairy) N5 (allerg* or sensitivit* or
hypersensitiv*)Search for terms within five words of one another
Cochrane Library NEAR/5
Ebsco
N5
Informit
%5 Ovid ADJ5 ProQuest NEAR/5 or
N/5
Scopus W/5
Web of Science NEAR/5
PubMed, Google Scholar
NoneSlide28
Unnecessary TruncationTruncation frenzy !!
nut* nut, nuts / nutrition, nutrientsclot* clot, clots / clothes, clothingintern* intern, interns / internal medicineSlide29
Proximity and Truncation PitfallsProquest
proximity + truncation(famil* or parent* or sibling* or relative* or adult* or child* or infant* or relative*) n/7 (care or caring or home or homes or assist* or support* or train* or partner*)Consider removing truncation. Search the main terms required.Informit nested proximity
famil* %7 care or famil* %7 caring or
famil
* %7 home or
famil
%7 homes …
Create a simplified search strategy for
InformitSlide30
Subject Headings
Does the default search include the subject?Reversed subjects 1 pulmonary hypertension 33,0002 hypertension pulmonary 32,0003 1 or 2 44,000Subheading codes. Ovid does not index the equivalent term.
suicide prevention Drug therapy
suicide/pc
dt.fs
.Slide31
Subject Headingsexp
anticoagulants/anticoagul* or “anti coagul*” or warfarin or acenocoumarol or coumadin or coumarin or phenprocoumon or sintrom or sinthrome or
jantoven or marevan or waran
or
nicoumalone
or
dicoumarol
or
dicumarol or …
Avoid Explosion Excitement!!Slide32
Medline to Embase subject translation
Significant differences in subject heading usageSubject TermMedline
Embase
Difference
Thrombocytopenia
25919
118467
357%
Wound
Infection
10538
42770
306%
Primary
Prevention
17262
37540
117%
Celiac
Disease18651
29288
57%
Attitude to
Health
83974
91220
9%
Disease
Management
27095
26946
-1%
Clinical
Competence
79268
49593
-37%
Geriatric
Assessment
24002
12640
-47%Slide33
Medline to Embase Translation
Medline TermEmbase
Term
Chest
Pain
11570
Thorax
Pain
70120
Chest
Pain
22421
Emergency Medical
Services
37710
Emergency
Health Service
89828
Emergency
Medical Services
83300
Varicose
Ulcer
4574
Varicosis
27446
Varicose
Ulcer
14846
Diet,
Gluten-Free
1455
Gluten
Free Diet
7285
Diet, Gluten-Free
7285
Rhinitis,
Allergic
1820
Allergic
Rhinitis
26418
Rhinitis, Allergic
17557
Alternative
Embase
subjects have different results to using Medline subject.Slide34
Publication Type
Exclude publication types where possibleEmbaseConference Abstract2.4 million
Web of ScienceMeeting Abstract6.8 million
PsycInfo
Dissertation Abstract
420,000Slide35
Age Groups
PsycInfo CINAHL EMBASE Slide36
No, they aren’t all doing it!
Bianca Klettke et al. Sexting prevalence and correlates : a systematic literature review. Clin Psych Rev 34:44-53 (Deakin University)25 studies with prevalence measures (92% US)
Lots of variability in age ranges studiedAdolescents (12 studies, 6 random & representative sampling) :
Sent 10.2%-15.5%
Received 15.6%-35%
Adults (13 studies, 9 with undergrad student samples) :
Sent 53%
Received 56%Slide37
Search filters (or “hedges”)
What are they?Tested, pre-defined search strategiesThis is different from database limits
Standardise the way we search, based on what we know about the science of expert searching
Let’s not reinvent the wheel!Slide38
Search filters
Cochrane Highly Sensitive Search Strategy for identifying randomized trials in MEDLINE: sensitivity-maximizing version (Ovid)Slide39
Search filters
(((((australia[mh] OR australia*[tiab
]) AND (oceanic ancestry group[mh
] OR
aborigin
*[
tiab
] OR indigenous[
tw
])) OR (
torres
strait* islander*[
tiab
])) AND
medline
[
sb
]) OR ((((au[ad] OR
australia*[ad] OR australia*[tiab] OR northern territory[
tiab] OR northern territory[ad] OR tasmania[tiab
] OR tasmania[ad] OR new south wales[tiab] OR new south wales[ad] OR
victoria[
tiab
] OR
victoria
[ad] OR
queensland
[
tiab
] OR
queensland
[ad]) AND (
aborigin
*[
tiab
] OR indigenous[
tiab
])) OR (
torres
strait* islander*[
tiab
])) NOT
medline
[
sb
]) AND English[la])
Developed by
Lowitja
Institute in collaboration with Flinders Filters, Flinders
University
Retrieves 92.9% of reviews on Aboriginal & Torres Strait Islander health
Tieman
JJ; Lawrence MA;
Damarell
RA;
Sladek
RM;
Nikolof
A.
LIt.search
: fast tracking access to Aboriginal and Torres Strait Islander health literature.
Australian Health Review
. 38(5):541-5, 2014 Nov.Slide40
Search filters
Methodological search filtersTherapyDiagnosisEtiology (causation)PrognosisQualitative
Subject-based search filters
Palliative care
Heart failure
Abortion and contraception
BereavementSlide41
Search filters:where to find them
ISSG search filters Flinders Filters (Flinders University)SIGN search filtersHLWiki page on search filters
Lowitja (indigenous Australians)Slide42
Text mining:
What is it?The analysis of how often terms appear in known relevant records.Used for:Search term selectionRanking output by relevanceSlide43
Text mining: for search term selection
In a given set of known relevant records, what are the most frequent terms that appear?Tools:PubMed PubReMinerTermineYale MeSH AnalyzerSlide44
Text mining: for search term selection
Analysis of results from mindfulness for depression search, using PubMed PubReMiner:Slide45
Text mining – for ranking outputs
Text mining for ranking outputs by relevanceUse EndNote for thisSlide46
Software for systematic reviews Slide47
Building expertise for systematic reviews:
staff developmentSlide48
Further resources:impact of librarian supporting systematic reviews
Meert, D., Torabi, N., & Costella, J. (2016). Impact of librarians on reporting of the literature searching component of pediatric systematic reviews. Journal of the Medical Library Association : JMLA, 104(4), 267–277. http://doi.org/10.3163/1536-5050.104.4.004
Rethlefsen, M. L., Farrell, A. M., Trzasko, L. C. O., & Brigham, T. J. (2015). Librarian co-authors correlated with higher quality reported search strategies in general internal medicine systematic reviews.
Journal of clinical epidemiology
,
68
(6), 617-626.
Rethlefsen
, M. L., Murad, M. H., & Livingston, E. H. (2014). Engaging medical librarians to improve the quality of review articles.
Jama, 312(10), 999-1000.Slide49
Further resources:validated search filters
ISSG search filtershttps://sites.google.com/a/york.ac.uk/issg-search-filters-resource/home SIGN search filtershttp://www.sign.ac.uk/methodology/filters.html HLWiki (Health Librarians Wiki) – search filters and hedgeshttp://hlwiki.slais.ubc.ca/index.php/Search_filters_%26_hedges
Flinders Filters (Flinders University)
http://www.flinders.edu.au/clinical-change/research/flinders-filters/
CareSearch
filters
https://www.caresearch.com.au/caresearch/tabid/371/Default.aspx
LIt.search
http://www.lowitja.org.au/litsearchSlide50
Further resources:text mining
O’Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M., & Ananiadou, S. (2015). Using text mining for study identification in systematic reviews: a systematic review of current approaches. Systematic reviews, 4(1), 1. ChicagoCatherine Voutier’s clinical librarian blog – text mining lessons from Julie Glanville’s visit to Australiahttps://clinicallibrarian.wordpress.com/2015/04/11/text-mining-with-julie-glanville/Research White Paper: an exploration of the use of text-mining software in systematic reviews
http://effectivehealthcare.ahrq.gov/ehc/products/625/2214/text-mining-report-160419.pdf Slide51
Further resources:staff development
Health Libraries Inc http://www.hlinc.org.au/ ALIA Health Libraries Australia https://www.alia.org.au/groups/HLA Introduction to Systematic Reviews and Meta-Analysis (Coursera)https://www.coursera.org/learn/systematic-review Yale University videos introducing systematic reviews
http://library.medicine.yale.edu/tutorials/subjects/systematic-reviews Annual four-day Australian EBP for Librarians Institute (residential event)
http://ebp.institute.libguides.com
/
Slide52
Thanks!
Any questions?You can find us at:Steven ChangTwitter:
@StevenPChangs.chang@latrobe.edu.au
Patrick Condron
p.condron@unimelb.edu.au
Slide53
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Image creditSlide54
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