Mapping memories: enhancing retrospective data with the life history calendar

Retrospective data collection methods provide a practical and cost-effective alternative to traditional longitudinal studies, particularly when time and resource constraints hinder long-term follow-up. While conventional retrospective questionnaires are widely used, their susceptibility to recall errors often compromises data reliability and accuracy. The Life History Calendar (LHC) has emerged as a solution to these limitations by incorporating visual prompts and contextual cues to enhance recall and improve data quality. This article offers a comprehensive overview of the LHC approach, highlighting its flexible design and diverse administration methods. Additionally, key considerations for the effective management, analysis, and visualisation of LHC data are discussed.

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Publication Details

Journal
European Journal of Cardiovascular Nursing
Published
2025-03-05
DOI
https://doi.org/10.1093/eurjcn/zvaf035
Primary Topic
Data Analysis and Archiving
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping memories: enhancing retrospective data with the life history calendar

Bo Daelman, Tijs K. Tournoy, Philip Moons, Davide Morselli et al.
European Journal of Cardiovascular Nursing
Data Analysis and Archiving
article

Mapping memories: enhancing retrospective data with the life history calendar

Bo Daelman, Tijs K. Tournoy, Philip Moons, Davide Morselli, Koen Luyckx
article en

Abstract

Retrospective data collection methods provide a practical and cost-effective alternative to traditional longitudinal studies, particularly when time and resource constraints hinder long-term follow-up. While conventional retrospective questionnaires are widely used, their susceptibility to recall errors often compromises data reliability and accuracy. The Life History Calendar (LHC) has emerged as a solution to these limitations by incorporating visual prompts and contextual cues to enhance recall and improve data quality. This article offers a comprehensive overview of the LHC approach, highlighting its flexible design and diverse administration methods. Additionally, key considerations for the effective management, analysis, and visualisation of LHC data are discussed.

European Journal of Cardiovascular NursingVol. 24(8)
University of Cape Town (ZA), University of the Free State (ZA), Ghent University Hospital (BE), Institute of Social Sciences (IN), Institute of Social and Preventive Medicine (CH), Institute of Social Sciences (RU), Department of Public Health (US), University of Gothenburg (SE), University of Lausanne (CH), KU Leuven (BE)
Fonds Wetenschappelijk Onderzoek, Vlaamse regering
Openalex Percentile: Top 95%
Data Analysis and Archiving
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