Survey Dataset: Impact of 'Health Fridays' WhatsApp Messages on University Students' Health Beliefs and Clinic Utilization

This dataset captures information about health messages sent on WhatsApp groups created by university staff. It seeks to explore changes in health beliefs and clinic utilisation, and it examines how students perceive and respond to short digital health messages shared through these groups. The data provide insight into whether exposure to these messages influences students’ awareness of health issues, their attitudes toward seeking care, and their likelihood of engaging with services offered by the campus clinic.

The dataset also documents key constructs associated with the Health Belief Model, including perceived susceptibility to health concerns, perceived benefits of health information, perceived barriers to accessing care, and cues to action related to health-seeking behaviour. By capturing these variables, the dataset allows researchers to explore how digital health communication may shape behavioural intentions and decisions related to accessing healthcare services within a university setting.

Collected from students who were members of the WhatsApp groups where the health messages were shared, the dataset reflects perceptions within an under-resourced university environment where low-cost communication tools are often used to reach large student populations. As such, the dataset contributes to understanding how commonly used digital communication platforms can support health promotion initiatives and potentially encourage greater utilisation of campus-based health services.

本数据集收录了由高校工作人员创建的WhatsApp群组中发送的健康相关信息。本研究旨在探究健康信念与诊所就诊行为的变化，并分析学生对通过此类群组分享的简短数字化健康信息的认知与反馈。该数据集能够揭示接触此类信息是否会影响学生对健康议题的认知、就医态度，以及参与校园诊所提供的医疗服务的可能性。

本数据集还记录了与健康信念模型（Health Belief Model）相关的核心构念，包括对健康风险的感知易感性、健康信息的感知益处、就医的感知障碍，以及与就医行为相关的行动线索。通过收录这些变量，本数据集可为研究者探究数字化健康传播如何在高校场景下塑造就医相关的行为意向与决策提供支撑。

本数据集的采集对象为健康信息分享所在WhatsApp群组的学生成员，反映了资源有限的高校环境中的认知情况——此类环境常借助低成本通信工具触达海量学生群体。因此，本数据集有助于理解常用数字化通信平台如何助力健康推广工作，并可能推动校园医疗服务的使用率提升。