Quality of Reporting of Observational Longitudinal Research

2005 American Journal of Epidemiology 355 citations

Abstract

Observational longitudinal research is particularly useful for assessing etiology and prognosis and for providing evidence for clinical decision making. However, there are no structured reporting requirements for studies of this design to assist authors, editors, and readers. The authors developed and tested a checklist of criteria related to threats to the internal and external validity of observational longitudinal studies. The checklist criteria concerned recruitment, data collection, biases, and data analysis and descriptive issues relevant to study rationale, study population, and generalizability. Two raters independently assessed 49 randomly selected articles describing stroke research published from 1999 to 2003 in six journals: American Journal of Epidemiology, Journal of Epidemiology and Community Health, Stroke, Annals of Neurology, Archives of Physical Medicine and Rehabilitation, and American Journal of Physical Medicine and Rehabilitation. On average, 17 of the 33 checklist criteria were reported. Criteria describing the study design were better reported than those related to internal validity. No relation was found between study type (etiologic or prognostic) or word count and quality of reporting. A flow diagram for summarizing participant flow through a study was developed. Editors and authors should consider using a checklist and flow diagram when reporting on observational longitudinal research.

Keywords

Observational studyChecklistStrengthening the reporting of observational studies in epidemiologyGeneralizability theoryResearch designMedicinePopulationEpidemiologyExternal validityClinical study designLongitudinal studyMEDLINEFamily medicinePsychologyClinical trialPathologyStatisticsEnvironmental health

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Publication Info

Year
2005
Type
article
Volume
161
Issue
3
Pages
280-288
Citations
355
Access
Closed

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Leigh Tooth (2005). Quality of Reporting of Observational Longitudinal Research. American Journal of Epidemiology , 161 (3) , 280-288. https://doi.org/10.1093/aje/kwi042

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DOI
10.1093/aje/kwi042