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ABSTRACT: This is an exploratory study examining the perceived attitudes and readiness of women aged 50 years or older on adopting a mobile phone-based intervention named as Infohealth in Singapore.
Infohealth is designed as a health informatics to tailor personalized healthcare advice for the well-being for women - very little is known about the acceptability level of self-care technology, especially the older among the female population. To explore participants' perceptions and acceptance, a telephone survey was developed from concepts identified from various user acceptance theories and models. Correlation was used to identify significant dependent variables while partial least square and boot-strapping procedures were used to estimate the significance of the path coefficients.
Analysis supports the validity and reliability of the 27-item research model consisting of 8 constructs. 700 women aged 50years and older responded to the survey. Findings show the extent of ageing women's existing dependency on others for help, regard for close ones whom they care for, opinion from family and friends, and guarding the health of people who are important for them do not directly affect the intention of using Infohealth, but are rather mediated by perceived usefulness. This study validated some ageing-specific and female-posited variables to suggest as main constructs in future innovation adoption studies about older women. Technological anxiety and perceived physical condition both have no direct relationship with perceived ease of use and usefulness, lifestyle and intention to use.
Findings reinforced the significant roles of perceived usefulness and perceived ease of use, compatibility, and subjective norm in predicting the adoption intention of Infohealth among ageing women. More extensive statistical analysis is needed to discover more interesting findings while qualitative analysis can help to detect humanistic design opportunities.
International Journal of Medical Informatics 05/2012; 81(9):637-48. · 2.41 Impact Factor
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ABSTRACT: This paper is an exploratory study that investigates Singaporean women's acceptance of using mobile phones to seek health information.
A mobile web containing health topics was developed to track Singaporean women's actual use of their mobile phones to seek health information. A survey questionnaire measured variables hypothesized to predict Behavioural Intention. The survey responses were then matched to the data collected on actual use. Correlation analysis and hierarchical regression were used to analyze the data collected.
Findings revealed that Perceived Usefulness and Self-efficacy positively predicted the intention to use mobile phones to seek health information. The study also confirmed the presence of an intention-behaviour gap among participants. The conversion of intention to actual behaviour hinges on technical concerns and design factors. Prior experiences with health information seeking reinforced women's evaluations of the usefulness of the mobile web application and helped them to feel more self-efficacious about using their mobile phones to seek health information. Using mobile phones to seek health information was found to be complementary to online health information seeking and can be regarded as an alternative source to the internet for seeking health information.
This study contributes to the existing literature by applying the Technology Acceptance Model (TAM) in the context of mobile health information seeking, for which there has been a lack of studies, and demonstrated that the inclusion of additional variables can enhance TAM's predictive power. The empirical presence of an intention-behaviour gap calls for future research to investigate the reasons behind the gap. Finally, the findings from this study can serve as input to promote women's use of mobile phones for better self-management of health.
International Journal of Medical Informatics 09/2011; 80(12):e189-202. · 2.41 Impact Factor
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ICALT 2011, 11th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6-8 July 2011; 01/2011
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ICALT 2011, 11th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6-8 July 2011; 01/2011
