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招募大田作物农民参与研究评估农场危害。

Recruitment of Row Crop Farmers into a Research Study to Assess Farm Hazards.

机构信息

College of Public Health, University of Iowa, Iowa City, IA, USA.

College of Health Sciences, University of California Irvine, Irvine, CA, USA.

出版信息

J Agromedicine. 2024 Jan;29(1):34-43. doi: 10.1080/1059924X.2023.2282137. Epub 2023 Dec 28.

Abstract

Farmers are at an elevated risk for injuries and are, therefore, highly sought after for research studies. However, their participation in research studies is low. We examine how characteristics of the farmer, farm location, and timing of recruitment contact impact the probability that farmers will engage and participate in a study of injuries and related farm hazards. Study data were obtained from the Farm Safety Study conducted at the University of Iowa between June 2019 and March 2020. We used recruitment data from participants enrolled using magazine subscription lists. Multinomial logistic regression was used for predictive modeling. Predictor variables included the time of day and the farm season in which phone contact for study recruitment was attempted, as well as the rurality of the farm. Two models were created to characterize screening and participation of farmers in the study. Farm season and time of day of the last recruitment call increased the likelihood of farmers being screened for study participation and completing the study. Specifically, contacting farmers during the growing season and during the daytime, regardless of farm rurality, resulted in higher probabilities of participation. Studies of agricultural injury may be more efficiently conducted, with higher participation responses, when circumstances of the recruitment call are considered. This work serves as a starting place for much-needed methodological research to identify factors that increase participation of farmers and farm workers in research studies.

摘要

农民受伤的风险较高,因此非常适合参与研究。然而,他们参与研究的意愿较低。我们研究了农民的特征、农场位置和招募联系的时间如何影响农民参与受伤和相关农场危险研究的可能性。研究数据来自爱荷华大学于 2019 年 6 月至 2020 年 3 月期间进行的农场安全研究。我们使用通过杂志订阅列表招募的参与者的招募数据。采用多项逻辑回归进行预测建模。预测变量包括招募研究的电话联系尝试的时间和农场季节,以及农场的农村程度。创建了两个模型来描述农民参与研究的筛选和参与情况。研究表明,无论是在农村还是城市地区,农场季节和最后一次招募电话的时间都会增加农民被筛选参加研究并完成研究的可能性。具体来说,在生长季节和白天联系农民,会提高参与的可能性。在考虑招募电话的情况时,农业伤害研究可以更有效地进行,并且可以获得更高的参与率。这项工作为增加农民和农场工人参与研究的必要性方法研究奠定了基础。

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