Skip to Content
Interactive Textbook on Clinical Symptom Research Logo


Home Button

 

Clinical Research on Dyspnea
Author Bios
What is Dyspnea?
What Provokes Dyspnea?
The Nature of Dyspnea
Language of Dyspnea
Clinical Application
Research Application
Variability in Sensations
Challenges in Study
Mechanical Loads and Sense of Effort
Chemoreceptors
Mechanoreceptors
Neuro-Mechanical Dissociation
Phase of Respiration and Dyspnea
Physiology of Dyspnea
Respiratory System
Cardiovascular System
Measuring Dyspnea
Scaling Issues
Qualitative Aspects
Reliability and Validity Overview
Reliability and Validity
Sensitivity and Specificity
Scales
Sensation vs. Perception vs. Symptom
Treating Dyspnea
Currently selected section: Why Measure?
Cluster Analysis
Statistical vs. Clinical Significance
Standard Error of Measurement
Measuring Fatigue
Measuring Depression
Measuring Anxiety and Hyperventilation
Measuring Quality of Life
Conclusion

 

Chapter 23: Dyspnea: More on Why and How We Measure
        

Earlier we introduced levels of measurement and emphasized that the decision to measure a variable in a particular way not only directs our subsequent analytic (i.e. statistical) options but also influences the general appearance of our research design. Efforts to judge the quality of research -- i.e. both its internal and external validity -- turn mostly on unbiased review of the stream of interconnectedness, or integration, between the research question, the project design, the analytic approach, and our conclusions. The links between these primary aspects of clinical investigations are explicit, for example, in the checklist of items included for improving the reporting of randomized clinical trials (Moher et al., 2001). Review the following Table from the 2001 CONSORT statement, and count the number of items you think are related either implicitly or explicitly to measurement:

Table 26.1: Checklist of Items to Include when Reporting a  Randomized Clinical Trial
Section and Topic Item # Descriptor
Title and Abstract
1
How participants were allocated to interventions (e.g. "random allocation," "randomized," or "randomly assigend")
Introduction

   Background

2
Scientific background and explanation of rationale
Methods
   Participants
3
Eligibility criteria for participants and the settings and locations where the data were collected
   Interventions
4
Precise details of the interventions intended for each group and how and when they were actually administered
   Objectives
5
Specific objectives and hypotheses
   Outcomes
6
Clearly defined primary and secondary outcome measures and, when applicable, any methods used to enhance the quality of measurements (e.g. multiple observations, training of assessors)
   Sample size
7
How sample size was determined and, when applicable, explanation of any interim analyses and stopping rules
   Randomization
   
      Sequence generation
8
Method used to generate the random allocation sequence, including details of any restriction (e.g. blocking, stratification)
      Allocation concealment
9
Method used to implement the random allocation sequence (e.g. numbered containers or central telephone), clarifying whether the sequence was concealed until interventions were assigned
      Implementation
10
Who generated the allocation sequence, who enrolled participants, and who assigned participants to their groups
   Blinding (masking)
11
Whether or not participants, those administering the interventions, and those assessing the outcomes were blinded to group assignment. If done, how the success of blinding was evaluated
   Statistical methods
12
Statistical methods used to compare groups for primary outcome(s); methods for additional analyses, such as subgroup analyses and adjusted analyses
Results
   Participant flow
13
Flow of participants through each stage (a diagram is strongly recommended). Specifically, for each group report the numbers of participants randomly assigned, receiving intended treatment, completing the study protocol, and analyzed for the primary outcome. Describe protocol deviations from study as planned, together with reasons.
   Recruitment
14
Dates defining the periods of recruitment and follow-up
   Baseline data
15
Baseline demographic and clinical characteristics of each group
   Numbers analyzed
16
Number of participants (denominator) in each group included in each analysis and whether the analysis was by "intention-to-treat." State the results in absolute numbers when feasible (e.g. 10/20, not 50%)
   Outcomes and estimation
17
For each primary and secondary outcome, a summary of results for each group, and the estimated effect size and its precision (e.g. 95% confidence interval)
   Ancillary analyses
18
Address multiplicity by reporting any other analyses performed, including subgroup analyses and adjusted analyses, indicating those prespecified and those exploratory.
   Adverse events
19
All important adverse events or side effects in each intervention group
Comment
   Interpretation
20
Intrepretation of the results, taking into account study hypotheses, sources of potential bias or imprecision, and the dangers associated with multiplicity of analyses and outcomes
   Genrealizability
21
Generalizability (external validity) of the trial findings
   Overall evidence
22
General interpretation of the results in the context of current evidence

Question 26.1

How many of the 22 items on the CONSORT checklist relate either implicitly or explicitly to measurement:

Selection A At least 5
Selection B At least 10
Selection CAt least 15
Selection DAt least 20

Page 37 of 47
      Previous Section