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Shared Topic: Adherence to Antiretroviral therapy (ART) for HIV in Zambia. Different Emphases. Barriers and Facilitators to ART (Framework Synthesis) – PowerPoint PPT presentation

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Title: Workshop:


1
Workshop Thematic Synthesis and Framework
Synthesis
  • Parts 1-4 Data Extraction, Quality Assessment,
    Synthesising Across Studies, Completing the
    Analysis

2
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).

3
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)

4
Reading and Data Extraction
5
Data 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)

6
Data extraction form
  • Location
  • Setting
  • Sample (n)
  • Age
  • Gender
  • Ethnicity
  • Socio-economic status
  • Intervention (if any)
  • Quality assessment criteria
  • Results?
  • Further citations
  • See Handouts 1-3
  • 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?

8
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 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.
9
Some 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.

10
Quality Assessment
  • Andrew Booth, Reader in Evidence Based
    Information Practice, Co-Convenor Cochrane
    Collaboration Qualitative Methods Group

11
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?

12
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)

13
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)

14
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)

15
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)
16
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)
17
Available 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

18
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.

19
CASP Technical/Procedural Tool
20
JBI Theoretical Tool
21
Key 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?

22
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.
23
Some 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.

24
Data Synthesis
25
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

26
Methods 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.

27
Methods 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.

28
Methods 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

29
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 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.
30
Data 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

31
A 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

32
Example
1st Order
3rd Order
33
The 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)

34
From Kates research
35
From Constructs to Arguments
36
Booth et al, 2011
37
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

38
Further 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.
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