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Quantitative Research

Quantitative Research. Richard Peacock, Clinical Librarian Archway Healthcare Library Ziba Nadimi, Outreach and Information Skills Librarian Camden Primary Care Trust. Definition.

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Quantitative Research

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  1. Quantitative Research Richard Peacock, Clinical Librarian Archway Healthcare Library Ziba Nadimi, Outreach and Information Skills Librarian Camden Primary Care Trust

  2. Definition A study that aims to quantify attitudes or behaviours, measure variables on which they hinge, compare, and point out correlations. It is most often conducted via a survey on a sampling that must be representative so that the results can be extrapolated to the entire population studied. It requires the development of standardised and codifiable measurement instruments (structured questionnaires). Ipsos- A Market Research Co.

  3. Quantitative Data Collection • Requires a specific protocol • Protocol is specified in advance of data collection • Population and sample should be large. The larger the better

  4. Statistical analysis Describes trends, compares groups, relates variables Compares your results with past research Data Analysis

  5. Introduction Methods Results Discussion The Anatomy of a Research Paper

  6. The Anatomy of a Research Paper cont. • The introduction summarises the background to the study • The methods helps to understand if you are critically appraising a paper • The results reports findings objectively without speculation or interpretation • In the discussion the authors interpret the findings in light of the study design and other research

  7. Levels of Evidence

  8. Systematic Review • Identifies an intervention for a specific disease or other problem in health care • Determines whether or not this interventions works • Authors locate, appraise and synthesise evidence from as many relevant scientific studies as possible • They summarise conclusions about effectiveness • They provide a collation of the known evidence on a given topic • Statistical methods (meta-analysis) may or may not be used to analyse and summarise the results

  9. Advantages of Systematic Reviews • Adhere to a strict design, therefore minimise the chance of bias • Provide a scientific rather than subjective summarisation of literature • Large amounts of information can be assimilated quickly by healthcare providers, researchers, and policymakers • Compare results of different studies to establish generalisability of findings and consistency of results

  10. Disadvantages of Systematic Reviews • Experts may select only supportive evidence • Papers with more interesting result more likely to be published • SRs may be biased due to exclusion of relevant studies and inclusion of inadequate studies • SRs include an element of judgement, whatever method is used e.g. authors of tobacco industry affiliated reviews are more likely to conclude that passive smoking is not harmful

  11. Randomised Controlled Trials- RCTs • Two or more interventions are compared by being randomly allocated to participants • Includes a control intervention or no intervention • If possible should be single/ double/ triple blinded

  12. Blinding in RCTs • Preventing those involved in a trial from knowing to which comparison group, i.e. experimental and control, a particular participant belongs • The risk of bias is minimised • Participants, caregivers, outcome assessors and analysts can all be blinded • Blinding of certain groups is not always possible, e.g. surgeons in surgical trials • Single, double and triple blind are in common use

  13. Cohort Studies • An observational study • A defined group of people (the cohort) is followed over time • Outcomes are compared to examine people who were exposed or not exposed to a particular intervention • A retrospective cohort study identifies subjects from past records and follows them to the present • A prospective cohort study assembles participants and follows them into the future

  14. Case Control Studies • Compares people with a specific disease or outcome of interest (cases) to people from the same population without that disease or outcome (control) • Seeks associations between the outcome and prior exposure to particular risk factors e.g. one group may have been exposed to a particular substance that the other was not • They are usually retrospective

  15. Case Series • A study reporting observations on a series of individuals, usually all receiving the same intervention, with no control group.

  16. Odds-Ratio Diagram (Blobbogram)

  17. Odds-Ratio Diagram Cont. • Included in CDSR and other good systematic reviews • Presents complicated results and concepts in a clear visual format • For each individual trial, the odds-ratio result is represented by a box • The vertical line is an odds-ratio of one known as “line of no effect” • The horizontal line is the “confidence interval” for that result

  18. Odds-Ratio Diagram Cont. • Confidence Interval - the range in which we are 95% or 99% confident that the ‘real’ result of the study lies when is extrapolated to the whole of the population sampled in the study • The diamond is called meta analysis – the statistical method of combining the results of different RCTs for the same intervention

  19. Odds-Ratio Diagram Cont. • Results to the left of the line of no effect = less of the outcome in the experimental group • Results to the right of the line of no effect = more of the outcome in the experimental group • It is important to note whether the outcome is good or bad

  20. Odds-Ratio Diagram Cont. • If CI crosses line of no effect = inconclusive results • Longer CI = smaller study (less confident of results) • Shorter CI = bigger study (more confident of results)

  21. P Values • P for probability (ranging from zero to one) • The result could have occurred by chance if in reality the null hypothesis was true • The null hypothesis- the factor of interest (e.g. treatment) has no impact on outcome (e.g. risk of death) • P value of less than 0.05 means likelihood of results being due to chance is less than 1 in 20 = “Statistically significant”

  22. References McGovern, D.P.B. etal, Evidence-based medicine, BIOS Scientific Publishers Ltd., 2001 Greenhalgh, T., How to read a paper, 3rd ed., BMJ Publishing Group, 2006 Kelsey, K.D., (Lecture 2) Quantitative and qualitative approaches to research- PowerPoint Presentation Ward, L., Critical reading made easy:effectiveness and experience, University Hospitals of Leicester NHS Trust- PowerPoint Presentation Jackson, N., Conducting systematic reviews of public health and health promotion interventions, Cochrane Health Promotion and Public Health Field- PowerPoint Presentation The Cochrane Library’s Glossary of Terms, Wiley InterScience Andrew Hayward, Critical Appraisal of Analytical Studies- PowerPoint Presentation

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