We can work on Consumer Health Informatics

Better Information. Better Health.” —WebMD

“Trusted Health Information for You.” —MedlinePlus

Popular health information websites (such as the ones noted above) have consumers logging on to acquire health information. Yet, research shows that many of today’s consumers need assistance searching for information as well as understanding and applying it. Lack of technological expertise, low levels of health literacy, and an inability to distinguish relevant facts are just some of the documented challenges.

As you work through this Discussion, keep in mind that health literacy does not merely imply access to information, but also the capacity to process that information to make informed decisions. In this Discussion, conceptualize nursing’s roles and responsibilities in assisting patients with web-based information.

Sample Solution

industry; medium for seeking employment: desire and likelihood of rewards and opportunity; criteria of choosing employers. The two researchers’ contacted students directly via targeted groups of respondents list originating from the Faculty of their academic major program. Five questions adapted from Chen, Greene, and Crick (1998) was used to assess start up intentions. Responses were gathered on a 5-point Likert scale and total scale score was obtained by averaging the five questions. Brice and Nelson have reported a Cronbach’s alpha of 0.92 for this scale, which implies strong reliability. Information pertaining to each respondent’s age, gender, and class was obtained to use as control variables in the analysis. Each of these control variables was recorded as non-continuous, categorical predictors. 4. Analysis and Results Once all the related information from the respondents was entirely obtained, the students’ motives leading to start-up were analyzed. From the mean of all motivation constructs, it could be argued that the main motive for start-up is the need for achievement (average value = 14.3), followed by economic reasons (mean value = 12.89) and the need for independence (average value = 12.89). In order to establish instrument reliability, Cronbach’s coefficient alpha was computed. The reliability coefficient was 0.71 which indicates that the instrument was reliable in its measurement of determinants for start ups. Data reduction technique is used to unfold the information embedded in our data. Hypothesis 1: Intention for independent business start-ups is higher than joining established firms After elimination of subjects with survey questionnaires were only partially completed, the final sample totalled 196 students. As shown in Table 2, this sample was equally represented between the genders, consisting of 107 (54.6%) males and 89 (45.4%) females. Subjects were primarily graduating undergraduate business students (65.8%) and graduating postgraduate students (34.2%). In fact, there were 129 bachelor degree students who aged below 25 years than MBA students who aged 26 and above. The majority of subjects were expecting salary between RM>

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