Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Evaluation of patient-reported outcomes
Healthcare resource utilisation
Other

If ‘other’, further details on the scope of the study

Disease awareness and treatment satisfaction

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Chronic obstructive pulmonary disease
Population studied

Age groups

  • Adults (46 to < 65 years)
  • Adults (65 to < 75 years)
  • Adults (75 to < 85 years)
  • Adults (85 years and over)

Estimated number of subjects

400
Study design details

Study design

Multi-center, non-interventional (observational), prospective cohort study based mainly on newly-collected data.

Main study objective

To describe the patients’ satisfaction to COPD medical treatments (by means of the TSQM9) during a 12-month observation period (namely, at enrolment, and after 6 and 12 months) in real- world setting

Setting

20 Italian Pneumology Centres.

Outcomes

Patient Reported Outcomes Questionnaires/scales (filled in by patient or the investigator): Treatment Satisfaction Questionnaire, 9 items (TSQM-9), Brief Illness Perception Questionnaire (B-IPQ), COPD Assessment Test (CAT), Modified Medical Research Council Dyspnea Scale (MMRC), Morisky Medication-Taking Adherence Scale, Awareness structured interview (COPD awareness questionnaire).

Data analysis plan

Descriptive analysis will be means, medians, quantiles, proportions (with their respective 95% confidence intervals and SE when relevant) and contingency tables according to the nature of the variables. As a dispersion measurement the standard deviation and the interquartile range will be calculated.The statistical analysis will be done on all evaluable patients i.e. patients who enter the study without inclusion-exclusion criteria violations and with at least one TSQM-9 domain score (effectiveness, convenience and global satisfaction) calculated. Patients with missing values will not be excluded from the analysis, their data will not be replaced, frequency of missing data will be given for all analyzed variables. Lost to follow up patients will be analyzed until their last available visit.