Basic↦Statistic Methodology↦Research Question↦Definition
What is it? Why is it important?
The research question must be clear and answerable. A good way to build a research question is to use the PICO model.
PICO stands for:
- P – Population: describes the study population and its characteristics (e.g. age, gender, geographic location, health problem, diagnosis)
- I – Intervention: describes the treatment or exposure being studied. In the health care system, this could include the:
- Administration of a drug treatment
- Conduct of a diagnostic test (e.g. testing a new tool to measure blood pressure)
- Any other type of procedure (e.g. recommendation regarding life style changes)
- C – Comparison: describes a potential alternative or reference point to the intervention (e.g. a control or comparison group such as a placebo group)
- O – Outcome: describes the parameter(s) that will be measured to address the objective of the study (e.g. to assess the success of an intervention)
More
Example: A study with anaemic women and the objective of assessing the effect of iron intake on haemoglobin status.
- Population: adult women (age between 18 and 60) with anaemia living in Switzerland
- Intervention: daily intake of an iron tablet (e.g. iron dose = 320mg / tablet, ingested orally for 3 months)
- Comparison: daily intake of a placebo tablet (iron dose = 0 mg / tablet, ingested orally for 3 months)
- Outcome: change in haemoglobin values between study start (baseline) and study end (after 3 months of intervention)
What do I need to do?
As a SP-INV, describe your research question based on the PICO model.
Consult a statistician to ensure the research question is statistically:
- Answerable: the study outcome includes parameters that are measurable and that can be analysed statistically (e.g. blood parameters, various health scores such as pain scores or quality of life scores)
- Clear: complying with the PICO model will ensure that the research question becomes clear, as it contains all the required information for the set-up and planning of the study.
In some studies the aim is not to quantify the effect of an intervention (I) on an outcome (O). The aim is rather to describe a given population (e.g. frequency of patients with a cardiac event in the cancer department of a hospital). Thus, there is no actual intervention and no comparison is made to a control group. In these types of studies, I and C questions of the PICO model are not applicable. The research question is only built using the P and O questions (e.g. P: patients of the cancer department, O: occurrence of cardiac event during hospital stay).
Where can I get help?
Your local CTU↧ can support you with experienced staff regarding this topic
Basel, Departement Klinische Forschung, CTU, dkf.unibas.ch
Lugano, Clinical Trials Unit, CTU-EOC, www.ctueoc.ch
Bern, Department of Clinical Research www.ctu.unibe.ch
Geneva, Clinical Research Center, CRC, crc.hug.ch
Lausanne, Clinical Research Center, CRC, www.chuv.ch
St. Gallen, Clinical Trials Unit, CTU, www.kssg.ch
Zürich, Clinical Trials Center, CTC, www.usz.ch
Swiss Law
ClinO – see in particular article
- Art. 2b Definition of intervention
ClinO-MD – see in particular article
- Art. 2a Definition of clinical intervention
- Art. 2a Definition of performance study
HRO – see in particular article
- Art. 3a Definition of research
- Art. 3f Definition of health-related personal data