Autoren:	Singer, Susanne Sykiotis, Gerasimos Al-Ibraheem, Akram Pinto, Monica Iakovou, Ioannis Østhus, Arild Andre Hammerlid, Eva Locati, Laura Deborah Gamper, Eva Maria Arraras, Juan Ignacio Jordan, Susan Buettner, Matthias Engesser, Deborah Taylor, Katherine Canotilho, Rita Ioannidis, Georgios Husson, Olga Gama, Ricardo Ribeiro Fanetti, Giuseppe Moss, Laura Inhestern, Johanna Andry, Guy Rimmele, Harald Kiyota, Naomi
Titel:	The impact of electronic versus paper-based data capture on data collection logistics and on missing scores in thyroid cancer patients
Online-Publikationsdatum:	23-Jan-2024
Erscheinungsdatum:	2023
Sprache des Dokuments:	Englisch
Zusammenfassung/Abstract:	Purpose The purpose of this study was to investigate the impact of the type of data capture on the time and help needed for collecting patient-reported outcomes as well as on the proportion of missing scores. Methods In a multinational prospective study, thyroid cancer patients from 17 countries completed a validated questionnaire measuring quality of life. Electronic data capture was compared to the paper-based approach using multivariate logistic regression. Results A total of 437 patients were included, of whom 13% used electronic data capture. The relation between data capture and time needed was modified by the emotional functioning of the patients. Those with clinical impairments in that respect needed more time to complete the questionnaire when they used electronic data capture compared to paper and pencil (ORadj 24.0; p = 0.006). This was not the case when patients had sub-threshold emotional problems (ORadj 1.9; p = 0.48). The odds of having the researcher reading the questions out (instead of the patient doing this themselves) (ORadj 0.1; p = 0.01) and of needing any help (ORadj 0.1; p = 0.01) were lower when electronic data capture was used. The proportion of missing scores was equivalent in both groups (ORadj 0.4, p = 0.42). Conclusions The advantages of electronic data capture, such as real-time assessment and fewer data entry errors, may come at the price of more time required for data collection when the patients have mental health problems. As this is not uncommon in thyroid cancer, researchers need to choose the type of data capture wisely for their particular research question.
DDC-Sachgruppe:	610 Medizin 610 Medical sciences
Veröffentlichende Institution:	Johannes Gutenberg-Universität Mainz
Organisationseinheit:	FB 04 Medizin
Veröffentlichungsort:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-9953
Version:	Published version
Publikationstyp:	Zeitschriftenaufsatz
Nutzungsrechte:	CC BY
Informationen zu den Nutzungsrechten:	https://creativecommons.org/licenses/by/4.0/
Zeitschrift:	Endocrine Version of Record (VoR)
Verlag:	Springer
Erscheinungsdatum:	2023
ISSN:	1559-0100
DOI der Originalveröffentlichung:	10.1007/s12020-023-03628-9
Enthalten in den Sammlungen:	DFG-491381577-H