Ruyobeza Barimwotubiri Billy, Grobbelaar Sara S Saartjie, Botha Adele
Department of Industrial Engineering, University of Stellenbosch, South Africa.
Department of Industrial Engineering, University of Stellenbosch University, South Africa AND DSI-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (SciSTIP), Stellenbosch University, Stellenbosch, South Africa.
Heliyon. 2023 Jun 9;9(6):e16885. doi: 10.1016/j.heliyon.2023.e16885. eCollection 2023 Jun.
To enhance the predictive power of the Fit between Individuals, Task and Technology (FITT) framework in mobile, individual consumer settings by restructuring to prominently emphasise .
A mixed study involving a quantitative survey of 679 potential patients (adopters) and a qualitative content analysis of ten semi-structured interviews with clinic assistants.
For the survey, three combined random samples of potential patients from Atteridgeville, Bapong and Garankuwa (South Africa). Ten Unjani clinic assistants were also interviewed about their tasks, skills, and related properties and attributes using a semi-structured interview guide.
Participants in the survey were potential patients over 18 years of age in the three sampled locations. In the qualitative study, interviewed participants were employed as clinic assistants in ten clinics within the Unjani Clinic Network
in the quantitative study, the statistical significance of the relationships between smartphone experience and health motivation on the one hand and the adopter's perceived self-efficacy on the other. In the qualitative study, the extent to which task properties, context, and the adopters' levels of education and training affect their perceived self-efficacy
There is a significant relationship between smartphone experience and perceived self-efficacy and a moderately significant relationship between health motivation and perceived self-efficacy. Furthermore, task properties, task context, and an adopter's level of education and training considerably influence their perceived self-efficacy on a given future assistive digital health technology (ADHT).
Extending the FITT to the FISTT framework to explicitly include the fit may improve the explanatory and predictive power of the traditional FITT framework in mobile individual consumer settings.
通过重组以突出强调，增强个体、任务与技术匹配度（FITT）框架在移动个体消费者环境中的预测能力。
一项混合研究，包括对679名潜在患者（采用者）的定量调查以及对十名诊所助理进行的半结构化访谈的定性内容分析。
对于调查，从阿特里奇维尔、巴蓬和加兰夸（南非）抽取了三个潜在患者的组合随机样本。还使用半结构化访谈指南，就十名乌贾尼诊所助理的任务、技能以及相关特性和属性进行了访谈。
调查的参与者是三个抽样地点18岁以上的潜在患者。在定性研究中，接受访谈的参与者是乌贾尼诊所网络内十家诊所的诊所助理。
在定量研究中，一方面是智能手机体验与健康动机之间关系的统计显著性，另一方面是采用者感知的自我效能感。在定性研究中，任务特性、背景以及采用者的教育和培训水平对其感知自我效能感的影响程度。
智能手机体验与感知自我效能感之间存在显著关系，健康动机与感知自我效能感之间存在中度显著关系。此外，任务特性、任务背景以及采用者的教育和培训水平在很大程度上影响他们对特定未来辅助数字健康技术（ADHT）的感知自我效能感。
将FITT扩展到FISTT框架以明确纳入 匹配度，可能会提高传统FITT框架在移动个体消费者环境中的解释力和预测能力。
