Free download. Book file PDF easily for everyone and every device. You can download and read online Synthesizing Quantitative Evidence file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with Synthesizing Quantitative Evidence book. Happy reading Synthesizing Quantitative Evidence Bookeveryone. Download file Free Book PDF Synthesizing Quantitative Evidence at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The CompletePDF Book Library. It's free to register here to get Book file PDF Synthesizing Quantitative Evidence Pocket Guide.
Result Filters

LAM undertook analyses, contributed to discussions and commented critically on drafts. THMM contributed examples, contributed to discussions and commented critically on drafts. EAR and JT contributed to discussions and commented critically on drafts. DMC co-led the project, contributed to discussions and drafted extensive parts of the paper. All authors approved the final version of the manuscript. Provenance and peer review Not commissioned; externally peer reviewed. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Skip to main content. We use cookies to improve our service and to tailor our content and advertising to you. More info You can manage your cookie settings via your browser at any time.

Synthesizing Qualitative and Quantitative Health Evidence: A Guide to Methods

To learn more about how we use cookies, please see our cookies policy. Log In More Log in via Institution. Log in via OpenAthens. Log in using your username and password For personal accounts OR managers of institutional accounts. Forgot your log in details? Register a new account? Forgot your user name or password? Search for this keyword. Advanced search. Latest content Archive Authors About.

  • Belarus - Culture Smart!: The Essential Guide to Customs & Culture!
  • From Kings.
  • She Painted Her Face;
  • My Share of the Task: A Memoir.

Log in via Institution. Email alerts. Article Text. Article menu. Synthesising quantitative evidence in systematic reviews of complex health interventions. Abstract Public health and health service interventions are typically complex: they are multifaceted, with impacts at multiple levels and on multiple stakeholders. Statistics from Altmetric. Background Public health and health service interventions are typically complex. View this table: View inline View popup. Table 1 Quantitative synthesis possibilities to address aspects of complexity.

Table 2 Quantitative graphical and synthesis approaches mentioned in the paper, with their main strengths and weaknesses in the context of complex interventions. The importance of the research question The starting point in any synthesis of quantitative evidence is a clear purpose. Considering the types of studies available Studies of the effects of complex interventions may be randomised or non-randomised, and often involve clustering of participants within social or organisational units.

Preparing for a quantitative synthesis Before undertaking a quantitative synthesis of complex interventions, it can be helpful to begin the synthesis non-quantitatively, looking at patterns and characteristics of the data identified.

Main navigation - strip

Options when effect size estimates cannot be obtained or studies are too diverse to combine Graphical approaches Graphical displays can be very valuable to illustrate patterns in results of studies. Figure 1 Example graphical displays of data from a review of interventions to promote breast feeding, for the outcome of continued breast feeding up to 23 months. Statistical methods not based on effect size estimates We have mentioned that a frequent problem is that standard meta-analysis methods cannot be used because data are not available in a similar format from every study.

Standard synthesis methods Meta-analysis for overall effect Probably the most familiar approach to meta-analysis is that of estimating a single summary effect across similar studies. Exploring heterogeneity Diversity in the types of participants and contexts , interventions and outcomes are key to understanding sources of complexity.


Synthesis methods for understanding components of the intervention When interventions comprise distinct components, it is attractive to separate out the individual effects of these components. Box 1 Example of understanding components of psychosocial interventions for coronary heart disease Welton et al reanalysed data from a Cochrane review 89 of randomised controlled trials assessing the effects of psychological interventions on mortality and morbidity reduction for people with coronary heart disease. Figure 2 Intervention components in the studies integrated by Welton et al a sample of 18 from 56 active treatment arms.

Synthesis methods for understanding mechanisms of action An alternative purpose of a synthesis is to gain insight into the mechanisms of action behind an intervention, to inform its generalisability or applicability to a particular context. Figure 3 Theoretical diabetes care model adapted from Brown et al Box 2 Example of a model-driven meta-analysis for type 2 diabetes Brown et al present a model-driven meta-analysis of correlational research on psychological and motivational predictors of diabetes outcomes, with medication and dietary adherence factors as mediators. Synthesis approaches for understanding complexities of the system Syntheses may seek to address complexities of the system to understand either the impact of the system on the effects of the intervention or the effects of the intervention on the system.

Box 3 Example of a mathematical modelling approach for soft drinks industry levy Briggs et al examined the potential impact of a soft drinks levy in the UK, considering possible different types of response to the levy by industry. Figure 4 Simplified version of the conceptual model used by Briggs et al a dapted from Briggs et al Considerations of bias and relevance It is always important to consider the extent to which 1 The findings from each study have internal validity, particularly for non-randomised studies which are typically at higher risk of bias.

Conclusion Our review of quantitative synthesis methods for evaluating the effects of complex interventions has outlined many possible approaches that might be considered by those collating evidence in support of guideline development. References 1. Implications of a complexity perspective for systematic reviews and guideline development in health decision making.

BMJ Glob Health ; 0 : e Complex interventions and their implications for systematic reviews: a pragmatic approach. J Clin Epidemiol ; 66 : — Synthesizing evidence on complex interventions: how meta-analytical, qualitative, and mixed-method approaches can contribute. Pigott T , Shepperd S.

  1. Systematic review - Wikipedia?
  2. WHO | Enhancing WHO’s standard guideline development methods!
  3. Permanent Identifier?
  4. Business Start Up For Dummies Three e-book Bundle: Starting a Business For Dummies, Business Plans For Dummies, Understanding Business Accounting For Dummies.
  5. Fundamentals of Spectrum Analysis.
  6. Appreciative enquiry!
  7. Identifying, documenting, and examining heterogeneity in systematic reviews of complex interventions. Agency for Healthcare Research and Quality Evidence-based Practice Center methods for systematically reviewing complex multicomponent health care interventions.

    J Clin Epidemiol ; 67 : — World Health Organization. Geneva, Switzerland : World Health Organization , Taking account of context in systematic reviews and guidelines considering a complexity perspective.

    Synthesizing Quantitative Evidence for Evidence-based Nursing: Systematic Review. - PubMed - NCBI

    Considerations of complexity in rating certainty of evidence in systematic reviews: a primer on using the grade approach in global health. Qualitative evidence synthesis for complex interventions and guideline development: clarification of the purpose, designs and relevant methods.

    1. The CEO: White Collar Crime Finance Suspense Thriller.
    2. Systematic review!
    3. Systematic review.
    4. The Jungle Creatures: A Costa Rican Adventure Story.
    5. Zu Luxe, calme et volupté von Henri Matisse (German Edition);
    6. The Bishops Granddaughters.
    7. Synthesising evidence | NHMRC.
    8. Synthesising quantitative and qualitative evidence to inform guidelines on complex interventions: clarifying the purposes, designs and outlining some methods. Guideline: protecting, promoting and supporting breastfeeding in facilities providing maternity and newborn services. Geneva : World Health Organization , The well-built clinical question: a key to evidence-based decisions.

      Lesson 16- How to Analyze and Synthesize Information

      OpenUrl PubMed. Interventions to improve breastfeeding outcomes: a systematic review and meta-analysis. Acta Paediatr ; : — A meta-analysis of direct and mediating effects of community coalitions that implemented science-based substance abuse prevention interventions. Subst Use Misuse ; 42 : — Environmental interventions to reduce the consumption of sugar-sweetened beverages and their effects on health.

      Joffe M , Mindell J. Complex causal process diagrams for analyzing the health impacts of policy interventions. Am J Public Health ; 96 : — 9. Model-based meta-analysis. New York : Russell Sage Foundation , : — Community-level interventions for improving access to food in low- and middle-income countries Protocol. Quasi-experimental study designs series-paper 9: collecting data from quasi-experimental studies. J Clin Epidemiol ; 89 : 77 — Quasi-experimental study designs series-paper synthesizing evidence for effects collected from quasi-experimental studies presents surmountable challenges.

      J Clin Epidemiol ; 89 : 84 — Including non-randomized studies. Cochrane Handbook for systematic reviews of interventions. Lancaster, UK : Lancaster University , Ryan R. Cochrane Consumers and Communication Review Group. Cochrane consumers and communication review group: data synthesis and analysis.

      Petticrew M , Roberts H. Systematic reviews in the social sciences: a practical guide. Malden MA : Blackwell , Graphical displays for meta-analysis: an overview with suggestions for practice. Res Synth Methods ; 1 : 66 — The albatross plot: a novel graphical tool for presenting results of diversely reported studies in a systematic review. Res Synth Methods ; 8 : — 9.

      The harvest plot: a method for synthesising evidence about the differential effects of interventions. Sifting the evidence-what's wrong with significance tests?

      BMJ ; : — A further use for the Harvest plot: a novel method for the presentation of data synthesis. Res Synth Methods ; 2 : 79 — Thomson HJ , Thomas S. The effect direction plot: visual display of non-standardised effects across multiple outcome domains.

      Res Synth Methods ; 4 : 95 — Evidence map of acupuncture. Analysing data and undertaking meta-analyses.