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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)
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    Data Record Details
    Data record related to this publication Master Thesis
    Data Publication title Data for: The Acceptability and Repeatability of Spirometry Testing: A Systematic Review & Meta-Analysis
  • Description

    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)

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  • Other Descriptors
    • Descriptor
      • Descriptor type
    • Data type dataset
  • Keywords
    • Spirometry
    • Quality Assessment
    • Chronic Respiratory Diseases
  • Funding source
  • Research grant(s)/Scheme name(s)
    • - Townsville Hospital and Health Service - SERTA Research Capacity Grant
    • Research themes
    Tropical Health, Medicine and Biosecurity
    FoR Codes (*)
    • 320103 - Respiratory diseases
    • 320101 - Cardiology (incl. cardiovascular diseases)
    SEO Codes
    • 200202 - Evaluation of health outcomes
    • 280103 - Expanding knowledge in the biomedical and clinical sciences
- Specify coverage
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date 2022/03/03
  • End Date 2025/01/31
    • Time Period
    Spatial (location) coverage
  • Locations
    • Townsville, Queensland, Australia
- Data
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- License
- Citation
    Citation Barnes, Liane; Pyne, Nadine; Jones, Anne (2025): Data for: The Acceptability and Repeatability of Spirometry Testing: A Systematic Review & Meta-Analysis. James Cook University. https://doi.org/10.25903/rwy1-3x45