Data for: The Acceptability and Repeatability of Spirometry Testing: A Systematic Review & Meta-Analysis

Description: Chronic respiratory diseases (CRDs) decrease lung function by causing changes to the airways and other structures of the lungs. Lung function is objectively measured using spirometry and high-test quality maximises its diagnostic utility. The aims of this systematic review were to determine the overall percentage of acceptability and repeatability (AR) across a broad range of study designs and participant cohorts in the published literature and to determine which factors influence this component of spirometry quality using a generalised linear model.

This data record contains:

1x .xlsx file containing extracted data parameters and an explanation of the codes used
1x .cvs file containing codes used for data analysis

Software/equipment used to create/collect the data:

Microsoft Excel for Microsoft 365
Systematic Review Accelerator (SRA) tools (Clark et al., 2020)

Software/equipment used to manipulate/analyse the data:

SPSS Statistics v30 (IBM, Denmark)
Risk of Bias Summary tables and plots were generated using the Risk-of-bias VISualization (robvis) tool (McGuinness & Higgins, 2021)