Beginner-Friendly Pulmonology Research Ideas and Methods
Pulmonology offers accessible research for beginners because many questions can be answered with routinely collected data, spirometry or imaging results, or with literature reviews. The key is to define a narrow question, outcome and population and to work with a supervisor.
Idea types
- Epidemiology: prevalence of chronic obstructive pulmonary disease, asthma or sleep apnoea in a clinic population.
- Prognosis: factors associated with exacerbations, hospital stay or readmission.
- Diagnosis: accuracy of a questionnaire, a point-of-care ultrasound sign or a biomarker for pneumonia or pleural disease.
- Care processes: adherence to inhaler technique education, vaccination status, time to antibiotics.
- Environmental and occupational health: exposure and respiratory outcomes (with careful confounding control).
- Evidence synthesis: reviews of rehabilitation, digital self-management or screening.
- Case reports: rare presentations or drug-related lung disease.
Methods and measures
- Lung function (for example FEV1/FVC) measured by standard protocols; define the equipment, reference equations and quality criteria.
- Symptom scores and quality-of-life questionnaires; use validated versions in the right language.
- Imaging and laboratory tests with defined thresholds.
- Outcomes: exacerbation, hospital admission, mortality, with clear time windows.
Illustrative example
Invented for teaching. "In adults with COPD attending a clinic in 2023, is inhaler technique error (observed by a nurse) associated with moderate or severe exacerbations in the following 12 months?" Design: retrospective cohort using clinic records. Limitations: confounding by severity, misclassification, single centre.
Cautions
Exposure data (such as smoking history) are often incompletely recorded. Define how missing data will be handled and avoid causal language.
Common pitfalls
- Using spirometry values without checking test quality.
- Combining different disease definitions without justification.
Key takeaways
- Choose a narrow question with clear definitions.
- Use validated measures and plan for missing data.
References and further reading
- Hulley SB, Cummings SR, Browner WS, Grady D, Newman TB. Designing Clinical Research. 4th ed. Lippincott Williams & Wilkins; 2013. Link
- von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. 2007;335:806-808. doi:10.1136/bmj.39335.541782.AD
- Bossuyt PM, Reitsma JB, Bruns DE, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351:h5527. doi:10.1136/bmj.h5527
- EQUATOR Network: Enhancing the QUAlity and Transparency Of health Research (reporting guideline library). Link
Related reading
This page is general educational information about research methods. It is not medical, legal or regulatory advice; follow your institution's ethics board and your target journal's instructions.
