调查流行率或关联度的跨时间变化:跨研究比较研究的挑战和可能的解决方案。

Discover Social Science and Health Pub Date : 2022-01-01 Epub Date: 2022-10-27 DOI:10.1007/s44155-022-00021-1
David Bann, Liam Wright, Alice Goisis, Rebecca Hardy, William Johnson, Jane Maddock, Eoin McElroy, Vanessa Moulton, Praveetha Patalay, Shaun Scholes, Richard J Silverwood, George B Ploubidis, Dara O'Neill
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引用次数: 0

摘要

为了解不同时期的变化而开展的交叉研究是社会科学和健康科学中日益突出的组成部分,但这些研究在实践、分析和概念上都面临着相当大的挑战。首先,我们讨论了将比较研究作为检测社会变化的基础所面临的主要挑战以及可能的解决方案。我们将重点放在调查结果发生或关联程度和/或方向的跨时间变化的研究上。我们讨论了此类研究的用途和重要性、研究的纳入、偏差来源和缓解以及解释。其次,我们提出了一个结构化框架(核对表),旨在为未来的作者和审稿人提供指导。第三,我们概述了一种新的开放式教学资源,该资源提供详细的指导和可重复使用的分析语法,指导新手掌握进行比较分析和数据可视化的技术(R 和 Stata 格式):在线版本包含补充材料,可查阅 10.1007/s44155-022-00021-1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions.

Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions.

Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions.

Cross-study research initiatives to understand change across time are an increasingly prominent component of social and health sciences, yet they present considerable practical, analytical and conceptual challenges. First, we discuss the key challenges to comparative research as a basis for detecting societal change, as well as possible solutions. We focus on studies which investigate changes across time in outcome occurrence or the magnitude and/or direction of associations. We discuss the use and importance of such research, study inclusion, sources of bias and mitigation, and interpretation. Second, we propose a structured framework (a checklist) that is intended to provide guidance for future authors and reviewers. Third, we outline a new open-access teaching resource that offers detailed instruction and reusable analytical syntax to guide newcomers on techniques for conducting comparative analysis and data visualisation (in both R and Stata formats).

Supplementary information: The online version contains supplementary material available at 10.1007/s44155-022-00021-1.

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来源期刊
Discover Social Science and Health
Discover Social Science and Health intersection of health and social sciences-
CiteScore
0.60
自引率
0.00%
发文量
21
审稿时长
22 days
期刊介绍: Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies. Topics Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.
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