Title: Workshop:
1Workshop Thematic Synthesis and Framework
Synthesis
- Parts 1-4 Data Extraction, Quality Assessment,
Synthesising Across Studies, Completing the
Analysis
2Shared 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).
3Shared 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)
4Reading and Data Extraction
5Data extraction
- What is it?
- The process by which researchers obtain the
necessary information about study characteristics
and findings from the included studies (CRD
Report 4) - An attempt to reduce a complex, messy,
context-laden and quantification resistant
reality to a matrix of categories and numbers
(Orwin, 1994)
6Data extraction form
- Location
- Setting
- Sample (n)
- Age
- Gender
- Ethnicity
- Socio-economic status
- Intervention (if any)
- Quality assessment criteria
- Results?
- Further citations
- See Handouts 1-3
- Format?????
7 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?
8Data 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 authors analysis. Key themes and concepts extracted and reviewed for inclusiveness. Distinction preserved between original (participant) extracts and (authors analysis) ?ndings. Findings coded in duplicate. Discrepancy between codes resolved by third person.
9Some Further Reading
- Munn, Z., Tufanaru, C., Aromataris, E. (2014).
JBI's systematic reviews Data extraction and
synthesis. AJN The American Journal of
Nursing, 114(7), 49-54. - Orwin RG. Evaluating coding decisions. In Cooper
H, Hedges LV (editors). The Handbook of Research
Synthesis. New York (NY) Russell Sage
Foundation, 1994.
10Quality Assessment
- Andrew Booth, Reader in Evidence Based
Information Practice, Co-Convenor Cochrane
Collaboration Qualitative Methods Group
11Before 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?
12Variability 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)
13Variability 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)
14Variability 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)
15Appraising 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)
16Two 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)
17Available Tools - 1
- CASP 10 questions to help you make sense of
qualitative research http//www.casp-uk.net/wp-con
tent/uploads/2011/11/CASP_Qualitative_Appraisal_Ch
ecklist_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.pdf
18Available 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.
19CASP Technical/Procedural Tool
20JBI Theoretical Tool
21Key Issue
- How are you going to use the quality assessment?
- From quantitative assessment we know authors
frequently say they do it but they dont
incorporate it into results - Is it technical proceduralism gone mad?
- Or can we use the assessments to improve our
synthesis and subsequent interpretation?
22Quality 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.
23Some Further Reading
- Carroll C, Booth A. Quality assessment of
qualitative evidence for systematic review and
synthesis Is it meaningful, and if so, how
should it be performed? Research Synthesis
Methods 2015 6(2) 149-54. - Carroll C, Booth A, Lloyd-Jones M. Should We
Exclude Inadequately Reported Studies From
Qualitative Systematic Reviews? An Evaluation of
Sensitivity Analyses in Two Case Study Reviews,
Qualitative Health Research, 2012 22 1425-1434 - Garside, R. (2014). Should we appraise the
quality of qualitative research reports for
systematic reviews, and if so, how?. Innovation
The European Journal of Social Science
Research, 27(1), 67-79.
24Data Synthesis
25What 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
26Methods of qualitative evidence synthesis
- 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 65671-684.
27Methods of qualitative evidence synthesis
- 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, 1172-84. - Brunton G, Oliver S, Oliver K, Lorenc T. A
Synthesis of Research Addressing Childrens,
Young Peoples and Parents Views of Walking and
Cycling for Transport London. London,
EPPI-Centre, Social Science Research Unit,
Institute of Education, University of London
2006.
28Methods of qualitative evidence synthesis
- Best-fit framework synthesis
- Identify relevant pre-existing conceptual models
or frameworks - Identify and extract all relevant qualitative
studies satisfying reviews inclusion criteria - Code data from included studies against framework
- Use secondary thematic analysis/synthesis to
generate completely new themes to supplement the
frameworks 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
29Data 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 identi?ed and cross-compared and presented in results section. Key themes consolidated into line of argument (third-order analysis), presented in the synthesis / discussion section.
30Data Analysis
- To move from a list of themes/framework to a
conceptual model/theory - Examine relationships
- Synergies, Antagonisms, Pre-requisites, Causal
Paths, Disconfirming Cases etcetera - Testing the Robustness of the synthesis
31A word about constructs
- Conventionally we distinguish (using the
terminology of the most common method of
qualitative synthesis, meta-ethnography) - 1st Order Constructs First hand accounts of the
people being studied - 2nd Order Constructs Interpretations by the
Authors of the studies - 3rd Order Constructs Interpretations of the
interpretations by the Systematic Review Team
32Example
1st Order
3rd Order
33The Contribution of Meta-ethnography
- Using the meta-ethnographic approach, we were
able to produce a model of adherence to TB
treatment by re-interpreting meaning across many
individual qualitative studies. We also derived
plausible hypotheses that can be used by policy
makers and programme managers to re-organise
treatment and care systems to improve adherence.
Adapting the method for use in synthesising
qualitative health research raises a number of
methodological challenges that require further
exploration. (atkins et al, 2008)
34From Kates research
35From Constructs to Arguments
36Booth et al, 2011
37Some 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
38Further Reading
- Antin, T. M., Constantine, N. A., Hunt, G.
(2014). Conflicting Discourses in Qualitative
Research The Search for Divergent Data within
Cases. Field Methods, 1525822X14549926. - Atkins S, Lewin S, Smith H, Engel M, Fretheim A,
Volmink J. Conducting a meta-ethnography of
qualitative literature lessons learnt. BMC Med
Res Methodol. 2008 Apr 16821. doi
10.1186/1471-2288-8-21. - Booth, A., Carroll, C., Ilott, I., Low, L. L.,
Cooper, K. (2013). Desperately Seeking Dissonance
Identifying the Disconfirming Case in Qualitative
Evidence Synthesis. Qualitative health
research, 23(1), 126-141. - Carroll, C., Booth, A., Lloyd-Jones, M. (2012).
Should we exclude inadequately reported studies
from qualitative systematic reviews? An
evaluation of sensitivity analyses in two case
study reviews. Qualitative Health
Research, 22(10), 1425-1434. - Finfgeld-Connett, D. (2014). Metasynthesis
Findings Potential Versus Reality.Qualitative
health research, 1049732314548878.