Study type

Study topic

Disease /health condition

Study type

Non-interventional study

Scope of the study

Disease epidemiology

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Observational, historical database study
Study drug and medical condition

Medical condition to be studied

Idiopathic pulmonary fibrosis
Population studied

Short description of the study population

• Patients who have a diagnostic for Idiopathic pulmonary fibrosis (IPF) between 1990 and 2015
• Have a minimum of 2 years continuous clinical records in the years immediately preceding their index diagnosis
• Aged 40 years or older at index date

Age groups

Adults (18 to < 46 years)
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

Idiopathic pulmonary fibrosis (IPF) patients

Estimated number of subjects

2000
Study design details

Main study objective

With a view to identifying potential opportunities for earlier referral to specialists and (ultimately) earlier diagnosis of IPF, this study aims to:(i) Evaluate patients’ patterns of HRU in the years preceding their IPF diagnosis.(ii) Characterise the clinical features of patients at the time of their IPF diagnosis.

Outcomes

1. Consultations including lower respiratory (LR) consultations2. Hospitalisations (in-patient attendances): same day or following 7 days3. Out patient visits with a code for a LR complaint (same day or following 7 days)4. Accident & Emergency attendances coded for a LR complaint (same day or following 7 days)5. Chest X-ray

Data analysis plan

• The analysis will assess changes in HRU over the 25-year period (1990–2015), and in 5-year increments (0–5 years, 6–10 years, 11–15 years, 16–20 years and 21–25 years) • Summary statistics will be used to characterise patients at time of IPF diagnosis:o For variables measured on the interval or ratio scale, summary statistics produced will be:• Sample size (n)• Percentage non missing• Mean• Variance/standard deviation• Range (minimum- maximum)• Median• Inter-quantile range (25th and 75th percentile)o For categorical variable the summary statistics will include:• Sample size (n)• Range • Count and percentage by category (distribution)• Statistically significant results will be defined as p<0.05 and trends as 0.05≤p<0.10. • Suitable tests (e.g. F tests, t tests, χ2 tests) and models (e.g. linear models) will be used, as appropriate, to explore the interaction between different clinical characteristics and features (e.g. year, age) of diagnosis.