'Snapshot' cohort study design across multi-site research settings: challenges, strategies, and solutions.

Tankumpuan, T; Kruahong, S; Benjasirisan, C; Davidson, PM

'Snapshot' cohort study design across multi-site research settings: challenges, strategies, and solutions.

Tankumpuan, T Kruahong, S Benjasirisan, C Davidson, PM

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Publisher:: OXFORD UNIV PRESS
Publication Type:: Journal Article
Citation:: Eur J Cardiovasc Nurs, 2023, 22, (6), pp. 664-668
Issue Date:: 2023-09-05

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Field	Value	Language
dc.contributor.author	Tankumpuan, T
dc.contributor.author	Kruahong, S
dc.contributor.author	Benjasirisan, C
dc.contributor.author	Davidson, PM
dc.date.accessioned	2024-01-30T02:10:42Z
dc.date.available	2023-06-07
dc.date.available	2024-01-30T02:10:42Z
dc.date.issued	2023-09-05
dc.identifier.citation	Eur J Cardiovasc Nurs, 2023, 22, (6), pp. 664-668
dc.identifier.issn	1474-5151
dc.identifier.issn	1873-1953
dc.identifier.uri	http://hdl.handle.net/10453/175050
dc.description.abstract	Multi-site research studies redefine cohort studies by simultaneously providing a cross-sectional snapshot of patients and monitoring them over time, to evaluate outcomes. However, careful design is crucial to minimize potential biases, such as seasonal variations, that may arise during the study period. Addressing snapshot study challenges requires strategic solutions: implementing multi-stage sampling for representativeness, providing rigorous data collection training, using translation techniques and content validation for cultural and linguistic appropriateness, streamlining ethical approval processes, and applying comprehensive data management for follow-up and missing data. These strategies can optimize the efficacy and ethicality of snapshot studies.
dc.format	Print
dc.language	eng
dc.publisher	OXFORD UNIV PRESS
dc.relation.ispartof	Eur J Cardiovasc Nurs
dc.relation.isbasedon	10.1093/eurjcn/zvad060
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1102 Cardiorespiratory Medicine and Haematology, 1110 Nursing, 1117 Public Health and Health Services
dc.subject.classification	Nursing
dc.subject.classification	3201 Cardiovascular medicine and haematology
dc.subject.classification	4205 Nursing
dc.subject.mesh	Humans
dc.subject.mesh	Cohort Studies
dc.subject.mesh	Cross-Sectional Studies
dc.subject.mesh	Data Collection
dc.subject.mesh	Translations
dc.subject.mesh	Research Design
dc.subject.mesh	Humans
dc.subject.mesh	Data Collection
dc.subject.mesh	Cohort Studies
dc.subject.mesh	Cross-Sectional Studies
dc.subject.mesh	Research Design
dc.subject.mesh	Translations
dc.subject.mesh	Humans
dc.subject.mesh	Cohort Studies
dc.subject.mesh	Cross-Sectional Studies
dc.subject.mesh	Data Collection
dc.subject.mesh	Translations
dc.subject.mesh	Research Design
dc.title	'Snapshot' cohort study design across multi-site research settings: challenges, strategies, and solutions.
dc.type	Journal Article
utslib.citation.volume	22
utslib.location.activity	England
utslib.for	1102 Cardiorespiratory Medicine and Haematology
utslib.for	1110 Nursing
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
pubs.organisational-group	University of Technology Sydney/Faculty of Health/IMPACCT
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-30T02:10:41Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	22
utslib.citation.issue	6

Abstract:

Multi-site research studies redefine cohort studies by simultaneously providing a cross-sectional snapshot of patients and monitoring them over time, to evaluate outcomes. However, careful design is crucial to minimize potential biases, such as seasonal variations, that may arise during the study period. Addressing snapshot study challenges requires strategic solutions: implementing multi-stage sampling for representativeness, providing rigorous data collection training, using translation techniques and content validation for cultural and linguistic appropriateness, streamlining ethical approval processes, and applying comprehensive data management for follow-up and missing data. These strategies can optimize the efficacy and ethicality of snapshot studies.

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http://hdl.handle.net/10453/175050