Study type

Study topic

Disease /health condition

Study type

Non-interventional study

Scope of the study

Disease epidemiology

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cross-sectional
Study drug and medical condition

Medical condition to be studied

Chronic obstructive pulmonary disease
Population studied

Short description of the study population

The reference population is all subjects resident in these territories over 40 years of age.
• The target population (eligible in the first instance) is made up of all people with the a for mentioned characteristics that live in Spanish homes with a private telephone.
• The sampling population is made up of the eligible population that meets the specific selection requirements (appropriate age quotas) in each stratum (habitat and geographic area).
• The final sample of the study is made up of all the people who, meeting all the previous requirements, were located and agreed to be interviewed by telephone.

Age groups

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

Special population of interest

Other

Special population of interest, other

Chronic obstructive pulmonary patients (COPD)

Estimated number of subjects

4608
Study design details

Main study objective

To assess the general population's knowledge about COPD and sources of information.

Outcomes

Knowledge about COPD and sources of information, 1. To assess the prevalence of respiratory symptoms and clinical management referred 2.1 consulte a physician 2.2 use of spirometry referred 2.3 the frequency of inhaled treatment and the difficulty in its use 2. To assess the respiratory disorders of the population 3. To assess the respiratory disorders and its characteristics 4. To assess the percentage of population without diagnosis

Data analysis plan

In the descriptive analysis, qualitative variables are presented with their frequency distribution, quantitative variables are summarized with their mean and standard deviation (SD) and quantitative variables showing an asymmetric distribution are summarized with the median and interquartile range (IQR). Comparisons are made between study groups. The association between qualitative variables is evaluated with the Chi-square test χ2 or Fisher's exact test, in the case that more than 25% of those expected were less than 5. For quantitative variables, means are compared using the Student t test or the analysis of variance ANOVA (if the groups have more than 2 categories) or the Mann-Whitney U test or the Kruskall Wallis test (if the groups have more than 2 categories) in case the quantitative variables did not fit a normal distribution. For all tests a significance value of 5% is accepted. Data processing and analysis is performed using the IBM SPSS Statistics v21 statistical package
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