Evaluation of Current Implementation of BTS/NICE Clinical Quality Standards In Community Acquired Pneumonia (CAP): A UK retrospective follow-up study

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:
  Cross-sectional

Study drug and medical condition

• Medical condition to be studied:
  Community acquired infection

Population studied

• Short description of the study population:
  The patient must meet the following criteria:; • Have a diagnostic (Read) code for Community Acquired Pneumonia (CAP) CAP; • Diagnosed with CAP between 1 January 2009 and 31 December 2016; • Have a minimum of 56 days continuous EMR:; o ≥28 days immediately preceding the index date; o ≥28 days immediately following the index date; • Aged 18 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:
  Community Acquired Pneumonia (CAP) patients
• Estimated number of subjects:
  3747

Study design details

• Main study objective:
  To assess the degree to which CRB65 scores are utilised in primary care in the UK
• Outcomes:
  Primary outcomes are the proportion of CAP actively managed in primary care, the percentage of actively managed cases with CRB65 score recorded on the day of CAP diagnosis, and key characteristics of CAP management in primary care. Secondary outcomes are antibiotic prescription and duration on day of diagnosis, completeness of recording of components of CRB65 and annual trends in CRB65 reporting.
• Data analysis plan:
  This is a descriptive observational study. The number of patients/observations and percentage per category, mean plus standard deviation and median plus inter-quantile range will be given, as appropriate. Statistical tests (e.g. F-tests, t-tests, chi-squared tests) and models (e.g. linear models) will be used, as appropriate.