Sun Ting, Xu Xuejie, Zhu Ningning, Zhang Jing, Ma Zuchang, Xie Hui
School of Nursing, Bengbu Medical College, Bengbu, Anhui, China.
Institute of Intelligent Machines, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei, Anhui, China.
JMIR Med Educ. 2023 Dec 15;9:e52279. doi: 10.2196/52279.
Service learning (SL) is a pedagogical approach that combines community service with cognitive learning for professionals. Its efficacy in promoting community health has gained broad recognition in nursing education. The application of postgraduate nursing SL programs in community-based intelligent health remains underexplored. Thus, additional investigation is necessary to assess the influence of the SL project based on a community-oriented intelligent health promotion system (SLP-COIHPS) on postgraduate nursing students and health service recipients.
This study aims to assess how SLP-COIHPS influences the scientific awareness and research innovation abilities of postgraduate nursing students. In addition, the study sought to examine the experiences of both participating students and health service recipients.
We conducted a mixed methods investigation by using web-based surveys and conducting interviews. The web-based surveys aimed to explore the differences in scientific awareness and research innovation capabilities between 2 distinct groups: an experimental group of 23 postgraduate nursing students actively participated in SLP-COIHPS, while 23 postgraduate students (matched one-to-one with the experimental group in terms of grade, sex, and research methods) served as control participants. Semistructured interviews were conducted with 65% (15/23) of postgraduate students and 3% (12/405) of community residents who received health services, aiming to assess the project's impact on them. The community-based intelligent health promotion system installed in intelligent health cabins can be conceptualized as an expert system providing valuable references for student health education. It has the capability to generate comprehensive assessments and personalized health guidance plans. Following training, students were involved in offering health assessments, health education, and related services. Subsequently, after the web-based surveys and semistructured interviews, quantitative data were analyzed using the SPSS (IBM Corp) software package, using 2-tailed t tests and Mann-Whitney U tests; qualitative data underwent analysis using the constructivist grounded theory approach.
Postgraduate nursing students participating in this program scored 12.83 (Cohen d>0.8; P<.001) and 10.56 (Cohen d>0.8; P=.004) points higher than postgraduate students in the control group in research awareness and research innovation capability, respectively. On the basis of the qualitative results, postgraduate students reported improvement in this program. Analysis of the interviews revealed a total of 12 subcategories across three primary domains: (1) specialized skills, (2) scientific research ability, and (3) comprehensive qualities. Community residents reported high satisfaction and positive experiences. Analysis of the interviews with community residents identified two primary categories: (1) satisfaction and (2) perceived benefits.
SLP-COIHPS had a positive impact on students' development of scientific awareness and research innovation ability. Qualitative study findings also support the further development of practical programs that integrate intelligent health and SL theories in the field of medical education. This includes exploring the potential factors influencing postgraduate nursing students' research capabilities or investigating the long-term effects of the project.
服务学习（SL）是一种将社区服务与专业人员的认知学习相结合的教学方法。其在促进社区健康方面的功效在护理教育中已获得广泛认可。研究生护理服务学习项目在基于社区的智能健康领域的应用仍未得到充分探索。因此，有必要进行更多调查，以评估基于社区导向的智能健康促进系统（SLP - COIHPS）的服务学习项目对研究生护理学生和健康服务接受者的影响。
本研究旨在评估SLP - COIHPS如何影响研究生护理学生的科学意识和研究创新能力。此外，该研究还试图考察参与学生和健康服务接受者的体验。
我们采用基于网络的调查和访谈进行混合方法研究。基于网络的调查旨在探究两个不同组在科学意识和研究创新能力方面的差异：一个实验组是23名积极参与SLP - COIHPS的研究生护理学生，而23名研究生（在年级、性别和研究方法方面与实验组一一匹配）作为对照参与者。对65%（15/23）的研究生和3%（12/405）接受健康服务的社区居民进行了半结构化访谈，旨在评估该项目对他们的影响。安装在智能健康小屋中的基于社区的智能健康促进系统可被概念化为一个为学生健康教育提供有价值参考的专家系统。它有能力生成全面评估和个性化健康指导计划。经过培训后，学生参与提供健康评估、健康教育及相关服务。随后，在基于网络的调查和半结构化访谈之后，使用SPSS（IBM公司）软件包对定量数据进行分析，采用双尾t检验和曼 - 惠特尼U检验；定性数据采用建构主义扎根理论方法进行分析。
参与该项目的研究生护理学生在研究意识和研究创新能力方面的得分分别比对照组研究生高12.83分（科恩d>0.8；P<0.001）和10.56分（科恩d>0.8；P = 0.
