Effect Estimates Can Be Accurately Calculated with Data Digitally Extracted from Interrupted Time Series Graphs

Autor/inn/en	Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E.
Titel	Effect Estimates Can Be Accurately Calculated with Data Digitally Extracted from Interrupted Time Series Graphs
Quelle	In: Research Synthesis Methods, 14 (2023) 4, S.622-638 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Turner, Simon Lee) ORCID (Korevaar, Elizabeth) ORCID (Cumpston, Miranda S.) ORCID (Kanukula, Raju) ORCID (Forbes, Andrew B.) ORCID (McKenzie, Joanne E.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1646
Schlagwörter	Quasiexperimental Design; Graphs; Accuracy; Computation; Computer Software; Error Patterns; Data Collection; Meta Analysis; Data Analysis + Suchen Sie Ihr Suchwort? Grafische Darstellung; Fehlertyp; Data capture; Datensammlung; Meta-analysis; Metaanalyse; Auswertung
Abstract	Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide raw data for re-analysis, graphs are often included, from which time series data can be digitally extracted. However, the accuracy of effect estimates calculated from data digitally extracted from ITS graphs is currently unknown. Forty-three ITS with available datasets and time series graphs were included. Time series data from each graph was extracted by four researchers using digital data extraction software. Data extraction errors were analysed. Segmented linear regression models were fitted to the extracted and provided datasets, from which estimates of immediate level and slope change (and associated statistics) were calculated and compared across the datasets. Although there were some data extraction errors of time points, primarily due to complications in the original graphs, they did not translate into important differences in estimates of interruption effects (and associated statistics). Using digital data extraction to obtain data from ITS graphs should be considered in reviews including ITS. Including these studies in meta-analyses, even with slight inaccuracy, is likely to outweigh the loss of information from non-inclusion. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01