Assessing the cost-effectiveness of Smartinhaler technology in primary care: a health economic decision Model in school-Aged children (SMART-MOD)

ENCePP Code of conduct

Yes

Data sources

• Data source(s):
  Optimum Patient Care Research Database
• Data sources (types):
  Electronic healthcare records (EHR)

Use of a Common Data Model (CDM)

• CDM mapping:
  No

Data quality specifications

• Check conformance:
  Unknown
• Check completeness:
  Unknown
• Check stability:
  Unknown
• Check logical consistency:
  Unknown

Data characterisation

• Data characterisation conducted:
  Yes
• Data characterisation moment:
  after creation of study variables
• Data characterisation details:
  To characterise the cohort of school-aged children with asthma, a structured approach was ; employed using the NHS Digital SNOMED CT Browser to identify and extract relevant codes for ; various specifications (NHS Digital, 2017). ; This process involved searching for codes associated with QOF-published medication lists; unscheduled care, including out-of-hours care, hospital admissions, and emergency department visits; and severity levels of asthma. Additionally, codes were sought for control measures, including validated questionnaire scores such as ACT, and ACQ; lung function indicators such as Peak Flow and FEV; societal aspects like school absenteeism; and patient/practice-level characteristics, including age, sex, ethnicity, and deprivation level (IMD). ; The extracted codes were recorded in a spreadsheet to facilitate data extraction from the OPCRD dataset. A feasibility test was then conducted to estimate the cohort size and verify the practicality of the criteria.