Introduction

The growing demand from patients with wounds from various causes has significantly challenged primary care nurses. A chatbot, with duly validated evidence-based content, can assist both nurses and patients in managing care. This work describes the development process of such a chatbot (BOTCURATIVO) that aims to help the treatment of wounds by non-specialists, by giving guidelines about the recommended wound dressing procedures for each type of wound.

Method

Methodological research was carried out in three phases. The first one corresponded to the validation of the script's content through a panel of enterostomal therapist nurses, who evaluated the domains and items of the chatbot script. Data analysis was performed using the Content Validity Index by individual level and scale level (≥ 0.80). To verify the agreement between the evaluators, the Kappa test was used. In the second phase, the chatbot was developed, using GOOGLE’S DIALOGFLOW platform. Finally, in the third phase, the chatbot's usability was analyzed using the System Usability Scale (SUS), by 17 users, 8 of them being patients with chronic wounds, 5 caregivers of people with acute and chronic wounds and 4 nurses.

Results

The established domains achieved excellent suitability, relevance and representativeness criteria, all above 90 %; the content validity index per level of scale reached 0.97 and 0.82 by the methods of average and universal agreement, respectively, with excellent agreement between the evaluators (Kappa value: 0.83). The global usability score was 80.1.

Conclusion

The script developed and incorporated into the chatbot prototype achieved a satisfactory level of content validity. The usability of the chatbot was considered good, adding to the credibility of the device.

中文翻译：

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伤口处理指南聊天机器人的内容验证和可用性

介绍

各种原因造成的伤口患者的需求不断增长，极大地挑战了初级保健护士。具有适当经过验证的基于证据的内容的聊天机器人可以帮助护士和患者管理护理。这项工作描述了这种聊天机器人（BOTCURATIVO）的开发过程，该聊天机器人旨在通过为每种类型的伤口提供建议的伤口包扎程序指南来帮助非专业人员治疗伤口。

方法

方法学研究分三个阶段进行。第一个对应于通过肠口治疗师护士小组对脚本内容的验证，后者评估了聊天机器人脚本的域和项目。使用内容有效性指数按个人水平和规模水平（≥0.80）进行数据分析。为了验证评估者之间的一致性，使用了Kappa检验。在第二阶段，使用GOOGLE的DIALOGFLOW平台开发了聊天机器人。最后，在第三阶段，使用系统可用性量表（SUS）对聊天机器人的可用性进行了分析，共有17位用户，其中8位是慢性伤口患者，5位急慢性伤口患者的护理人员和4位护士对聊天机器人的可用性进行了分析。

结果

已建立的域达到了极高的适用性，相关性和代表性标准，且均超过90％；通过平均和通用协议的方法，每个量表的内容有效性指数分别达到0.97和0.82，评估者之间的一致性极好（Kappa值：0.83）。全球可用性分数是80.1。

结论

开发并整合到chatbot原型中的脚本达到了令人满意的内容有效性水平。聊天机器人的可用性被认为是良好的，从而增加了设备的可信度。