Parts 14 Data Extraction Quality Assessment Synthesising Across Studies Completing the Analysis Workshop Framework Synthesis MetaEthnography and Realist Synthesis Shared Topic ID: 418481
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Slide1
Workshop: Thematic Synthesis and Framework Synthesis
Parts 1-4 – Data Extraction, Quality Assessment, Synthesising Across Studies,
Completing the AnalysisSlide2
Workshop: Framework Synthesis, Meta-Ethnography and Realist Synthesis Slide3
Shared Topic: Adherence to Antiretroviral therapy (ART) for HIV in
Zambia
BACKGROUND:
Antiretroviral
therapy (ART) has significantly improved
morbidity
and mortality of individuals infected with
HIV.
However, lack of adherence to highly active
antiretroviral therapy
(HAART) remains
a key
challenge to
successful management
of patients with HIV/AIDS.
Adherence
rates lower than 95% are associated with
development of
viral resistance to antiretroviral
medications.
‘Efforts
to sustain
adherence in
Africa and elsewhere remain important goals to
optimize outcomes
for individuals and global HIV treatment.’
(Mills
,
Nachega
,
Buchan
,
Orbinski
,
Attaran
, Singh et al., 2006).
Slide4
Shared Topic: Adherence to Antiretroviral therapy (ART) for HIV in
Zambia
Different Emphases
Barriers and Facilitators to ART
(Framework
Synthesis)
Theory Explaining Adherence to ART
(Thematic Synthesis) Slide5
Reading and Data ExtractionSlide6
Data extraction
What is it?
An attempt to reduce a mass of material (your included papers) to a much smaller body of text and numbers, amenable to analysis and the interpretation of findingsSlide7
Data extraction form
Location
Setting
Sample (n)
Age
Gender
Ethnicity
Socio-economic status
Intervention (if any)
Quality assessment criteria
Results?
Further citations
See
Handouts
1-3Format?????Slide8
What results do you extract?
What is your question?
Keep the question in mind as you read
:
Are the data relevant to this question?
Is the question answered by the data?Slide9
Data Extraction
Framework
Synthesis
Thematic Synthesis
Extracts
data against framework. Coding framework with definitions
provided
to increase consistency. Data not explained by framework
is “
parked” for subsequent inductive stage. Distinction typically made between original
data extracts and
author’s analysis.
Key themes and concepts extracted and
reviewed
for inclusiveness. Distinction preserved between original (participant) extracts and (author’s analysis) findings. Findings coded in duplicate. Discrepancy between codes resolved by third person. Slide10
Quality Assessment
Andrew Booth, Reader in Evidence Based Information Practice, Co-Convenor – Cochrane Collaboration Qualitative Methods Group Slide11
Before You Begin…
Consider how you will use judgements of quality (cp. 50% of published Cochrane
Quantitative
Reviews performed quality appraisal but did not make it clear how judgements were used!)
To exclude or to moderate?
Will chosen instrument militate against certain types of research?
Quality of
reporting
or quality of
study
? Slide12
Variability in Practice - 1
21 papers did not describe appraisal of candidate studies
6 explicitly mentioned not conducting formal appraisal of studies
5 papers did a critical appraisal, but did not use a formal checklist
7 described modifying existing instruments
1 used an existing instrument without modification
Dixon-Woods, Booth & Sutton (2007)Slide13
Variability in Current Practice - 1
23 papers
did not describe
critical appraisal
5
papers explicitly pleaded against
quality
assessment of papers or provided
valid
reason for not conducting
quality
appraisal.
Criteria
used varied between detailed descriptions of relevant items in existing or modified checklists to a set of broad criteria evaluating, for example,
rich description of data, credibility or relevance of the original study.
Hannes
and
Macaitis
(2012)Slide14
Variability in Current Practice - 2
One
team used
overall
judgement
(
Smith et al., 2005).
Five opted
for
self-developed
assessment
instrument
Three
used
previously developed checklists to create own. Two mentioned critical appraisal, but did not specify tool. Most used existing instruments/frameworks. 24 different assessment tools identified: Critical Appraisal Skills Programme
(
CASP) (
n
=
18)
Mays
and Pope criteria
(
n
=
6)
Popay
criteria
(
n
= 6)
Joanna
Briggs Institute
(
n
= 4).
Hannes
and
Macaitis
(2012)Slide15
Appraising research quality
1. Epistemological criteria:
Judgement of ‘trustworthiness’ requires criteria tailored to different research ‘paradigms’.
2. Theoretical Criteria:
Explicit theoretical framework shaping the design of the study and informing claims for generalisability
3. Prima facie ‘Technical’ criteria:
Used to assess ‘quality’ common to all research traditions e.g.:
Sufficient explanation of background;
Method appropriate to question;
Succinct statement of objectives/research questions;
Full description of methods include approach to analysis;
Clear presentation of findings including justification for interpretation of data etc.
Noyes J (2005)Slide16
Two dimensional approach to appraising qualitative research
Technical markers –CASP
Epistemological and theoretical markers – Popay et al
Technical Quality High
Description – thicker
Privileges Subjective experience and meanings
Use of theory to build explanations
Technical Quality Low
Description - thinner
Imposed pre-determined framework on respondents narratives.
Limited/no/inappropriate use of theory, little explanatory insight
(Noyes, 2005)Slide17
Available Tools - 1
CASP –
10 questions to help you make sense of qualitative research
http://www.casp-uk.net/wp-content/uploads/2011/11/CASP_Qualitative_Appraisal_Checklist_14oct10.pdf
Joanna Briggs Institute -
Critical Appraisal Checklist for Interpretive & Critical Research
http://www.jbiconnect.org/agedcare/downloads/QARI_crit_apprais.pdf
National Centre for Social Research.
Quality in Qualitative Evaluation: A Framework for Assessing Research Evidence.
London: National Centre for Social Research/UK Cabinet Office, 2003
http://www.civilservice.gov.uk/wp-content/uploads/2011/09/a_quality_framework_tcm6-38740.pdfSlide18
Available Tools - 2
Dixon-Woods M, Shaw RL, Agarwal S & Smith JA (2004) The problem of appraising qualitative research.
Quality & Safety in Health Care,
13, 223-5.
Hannes K, Lockwood C, Pearson A (2010). A comparative analysis of three online appraisal instruments' ability to assess validity in qualitative research.
Qualitative Health Research
. 20(12):1736-43.
Popay J, Rogers A & Williams G (1998) Rationale & standards for the systematic review of qualitative literature in health services research.
Qualitative Health Research,
8, 341-51.
Seale C & Silverman D (1997) Ensuring rigour in qualitative research.
European Journal of Public Health, 7, 379-84. Slide19
CASP – Technical/Procedural ToolSlide20
JBI – Theoretical
Tool Slide21
Key Issue
How are you going to use the quality assessment?
From quantitative assessment we know authors frequently say they do it – but they don’t incorporate it into results
Is it technical proceduralism gone mad?
Or can we use the assessments to improve our synthesis and subsequent interpretation?Slide22
Quality Assessment
Framework
Synthesis
Thematic Synthesis (e.g. as first stage of Meta-Ethnography)
Pragmatic so tends to include all studies
. Focuses explicitly on
quality of reporting.
Qualitative sensitivity analysis
used to test robustness of synthesis.
Quality Assessment as
Hurdle (often used when plenty of studies to draw upon):
Studies
using qualitative design and analysis
method included. Studies assessed for relevance first to continue to full-text review. Studies passing quality appraisal (are retained. Slide23
Data SynthesisSlide24
What is Data Synthesis?
Process of moving from focus on single studies (cp. Data Extraction and Quality Assessment) to focus on cross-study analysis
Requires identification of patterns across data, including contradictory findings and data that does not fit
Iterative and requires
ongoing
refinement
Acts as prelude to Analysis which seeks to explain patterns, contradictions and differences Slide25
Thematic synthesis; Critical Interpretive Synthesis; Meta-ethnography
Only include “good” qualitative studies (?)
Constant comparison; iterative; interpretations generated from the data by reviewers
Create a theory
Inductive
(theory-generating)
Examples:
Thomas J, Harden A
. Methods for the thematic synthesis of qualitative research in systematic reviews.
BMC Medical Research Methodology
2008
; 8.
Campbell R et al
. Evaluating meta-ethnography: a synthesis of qualitative research on lay experiences of diabetes and diabetes care. Social Science & Medicine 2003; 65:671-684.
Methods
of
qualitative
evidence
synthesisSlide26
Framework synthesis:
Only include “good” qualitative studies (?)
Map data from included studies onto an existing framework to test the framework/theory (a role for theory)
Build a conceptual model or framework
Deductive
(theory-testing)
Examples:
Oliver S
et al: A multidimensional conceptual framework for analysing public involvement in health services research.
Health Expectations 2008
, 11:72-84.
Brunton
G, Oliver S, Oliver K,
Lorenc
T. A Synthesis of Research Addressing Children’s, Young People’s and Parents’ Views of Walking and Cycling for Transport London. London, EPPI-Centre, Social Science Research Unit, Institute of Education, University of London; 2006.
Methods of qualitative evidence synthesisSlide27
“Best-fit” framework synthesis
Identify relevant pre-existing conceptual models or frameworks
Identify and extract all relevant qualitative studies satisfying review’s inclusion criteria
Code data from included studies against framework
Use secondary thematic analysis/synthesis to generate completely new themes to supplement the framework’s themes
Create new framework and conceptual model or theory
Deductive
and
Inductive
Framework
and
Thematic synthesis
Carroll C, Booth A, Cooper K
. A worked example of “best-fit” framework synthesis: A systematic review of views concerning the taking of potential
chemopreventive agents, BMC Medical Research Methodology 2011; 11: 29
Methods of qualitative evidence synthesisSlide28
Data Synthesis
Framework
Synthesis
Thematic
synthesis (may be taken forward as
Meta-Ethnography)
Original best fit framework is expanded to include new themes. Relationship between themes is examined and the data is used to reconstitute a new model. Particular attention is directed at discrepant cases.
Second-order constructs pertinent to adherence identified and cross-compared and presented in results section. Key themes consolidated into
line of argument (third-order analysis), presented in the synthesis ⁄ discussion section.Slide29
Booth et al, 2011Slide30
Some Practicalities
Tabulation of data
– looking for and explaining differences (e.g. majority…, split…, exception…)
Post-Its
– arranging according to patterns or clusters
Mapping
e.g. Mind Map, Process Maps (e.g. Pathways of Care), Logic Models
Integration
(with quantitative) – congruence, contradictions, gaps with explanation