Data on Awareness, Adoption, and Wellbeing Impact of AI-Driven Health Communication Tools among Indigenous Language Speakers in Nigeria

The improvement in primary healthcare delivery in Nigeria through the use of advanced technologies holds significant potential for improved healthcare access, and improved well-being, especially in bridging health information gaps, among underserved populations. This study investigated the level of awareness, adoption, and potential well-being impact of AI-driven health communication tools among indigenous language speakers in Nigeria. The study used a cross-sectional quantitative survey technique to collect data among 436 indigenous language speakers in Nigeria who have access to or have interacted with AI-driven health communication tools. A stratified random sampling approach was used to ensure representation across major indigenous language groups (e.g., Yoruba, Hausa, and Igbo). Two patterns of statistical procedures were adopted, namely, the descriptive and inferential analyses. The descriptive segment used frequencies, distribution, means and graphs, while the inferential deployed binary logistic regression to test for significant factors influencing AI-tool's adoption. The result shows a low level of awareness in rural areas that could be attributed to low digital literacy and limited internet access. However, among those exposed to AI tools, there is growing trust and perceived usefulness in accessing health information and remote care. The significant determinants identified are trust in AI systems and internet access. The study highlighted a positive correlation between AI tool usage and improved health-seeking behaviour and well-being (β = 1.671, p = 0.011, OR =5.317, 95CI(1.55-3.75)). This implies that for every one-unit increase in AI-tool usage, the odds of improved wellbeing increase by a factor of approximately 5.317. The study underscores the need for inclusive digital health innovation policies that prioritize linguistic and cultural diversities, based on its findings.尼日利亚借助先进技术优化初级医疗服务供给，对提升医疗可及性与民众福祉具有重大潜力，尤其有助于填补服务不足群体的健康信息鸿沟。本研究针对尼日利亚本土语言使用者群体，调研了人工智能（AI）驱动的健康传播工具的认知程度、采纳使用情况及其潜在福祉影响。 本研究采用横断面定量调查（Cross-sectional Quantitative Survey）法，面向436名曾接触或使用过AI驱动健康传播工具的尼日利亚本土语言使用者收集数据。研究采用分层随机抽样（Stratified Random Sampling）方法，确保样本覆盖约鲁巴语（Yoruba）、豪萨语（Hausa）、伊博语（Igbo）等主要本土语言群体。 本研究采用两类统计分析程序：描述性分析与推断性分析。其中描述性分析环节运用频数、分布、均值及图表开展数据呈现，推断性分析则采用二元逻辑回归（Binary Logistic Regression）检验影响AI工具采纳使用的显著因素。 研究结果显示，农村地区民众对该类工具的认知水平偏低，这可归因于数字素养不足与互联网接入受限。不过，在接触过AI工具的人群中，其对健康信息获取与远程医疗的信任度与感知有用性正逐步提升。本研究识别出的显著影响因素包括对AI系统的信任程度与互联网接入情况。 研究发现AI工具使用与健康就医行为改善及福祉提升之间存在显著正相关关系（回归系数（Regression Coefficient, β）=1.671，显著性水平（Significance Level, p）=0.011，优势比（Odds Ratio, OR）=5.317，95%置信区间（Confidence Interval, CI）(1.55-3.75)）。这意味着，AI工具使用每提升一个单位，民众福祉提升的几率将增长约5.317倍。基于上述研究结果，本研究强调需制定兼顾语言与文化多样性的包容性数字健康创新政策。