Overall, this HRA tool is comprehensive and user-friendly. The tool is categorized into three major themes - general risk, lifestyle, and condition; and under the lifestyle and condition categories, customers are free to choose specific sub-themes according to their needs or interests. For instance, in the lifestyle category, people can understand their risk factors affecting dietary, sleeping and emotional health, while in the conditions category, users can acquire their personal information on allergy, cancer, diabetes, heart attack and depression. Therefore, this tool targets on both the general population without apparent symptoms, and the patients who …show more content…
On one hand, the design of some questions can confuse the customers, deviating the results and the recommendations from the genuine“individualization”. For example, this HRA simply uses“cup”to measure individual’s daily fruit and vegetable consumption, without describing the volume or size of the cup. This can mislead self-judgment and bias the results; in turn, customers may take inappropriate preventive actions. On the other hand, to ensure accuracy, the tool expects its customers entering key biometric data such as blood pressure, HDL, LDL, and total cholesterol. For individuals who do not have those information at the time of taking the assessment, they can miss significant aspects regarding the risk factors for major chronic diseases including diabetes and hypertension. People can suffer from this inaccuracy if they do not have health insurance, updated medical tests results, or adequate awareness of chronic disease risks. Moreover, for some people who are internally aware of their risk behaviors yet apparently ignoring the facts, they may be reluctant to take the HRA, intentionally providing answers with higher likelihood of positive results, or having poor sustainabilities in the action and follow-up …show more content…
This longitudinal study demonstrated a two-year cluster randomized controlled trial to investigate the determinants of participation and non-participation in a physical activity and nutrition promoting program among employees from six workplaces. At the baseline, all the participants (N=924) filled out the online HRA tool on lifestyle, work and health factors, with a physical health check and in-person advices provided afterwards. However, only the intervention group (n=456) received regular behavior-change-supporting emails reminding them to visit the website and use the self-monitor tools such as online“questionnaires assessing saturated fat intake”. The result showed a fair rate in initial participation and in the two follow-up stages; however, it soon encountered with a rapid loss in the number of sustained program users. Rather than lifestyle and health factors, age (30 years and older) were more likely to both initiate and sustain their participation in the program. People with problems on physical inactivity were less likely to initially participate the program, although higher rate of