scholarly journals Reflecting on personal data in a health course: Integrating wearable technology and ePortfolio for eHealth

2019 ◽  
Vol 35 (3) ◽  
Author(s):  
Tanja Sobko ◽  
Gavin Brown

Activity trackers (ATs) equipped with biometric sensors may support deep knowledge acquisition of health and active learning. The mechanism may be via personal data being pushed to the students, which deepens the knowledge about their own health and may impact long-term health action processes. To understand health knowledge acquisition, 43 students attending an undergraduate university course were equipped with an AT over a period of five months. Weekly observation on emerging personal data and consequent actions (lifestyle adaptations) were reflected in an individual course-related ePortfolio. Students’ change in health action process was assessed using a short standard eHealth literacy scale at the beginning and end of the course. The usability of ePortfolio tool was tested with two previously validated scales. The combination of personal information from an AT and ePortfolio may have enhanced students’ critical assessment of health-related personal and available digital information. eHealth literacy scores significantly increased by the end of the course (p < .01). The ePortfolio helped with learning, and the usability of the ePortfolio did not really interfere. The combination of AT and ePortfolio constitutes a novel and productive method of using ePortfolios in higher education in regards to eHealth literacy acquisition.

2021 ◽  
Author(s):  
Karina Karolina De Santis ◽  
Tina Jahnel ◽  
Elida Sina ◽  
Julian Wienert ◽  
Hajo Zeeb

BACKGROUND Digital technologies are shaping medicine and public health. OBJECTIVE The aim of this study was to investigate the attitudes toward and the use of digital technologies for health-related purposes using a nationwide survey. METHODS We performed a cross-sectional study using a panel sample of internet users selected from the general population living in Germany. Responses to a survey with 28 items were collected using computer-assisted telephone interviews conducted in October 2020. The items were divided into four topics: (1) general attitudes toward digitization, (2) COVID-19 pandemic, (3) physical activity, and (4) perceived digital health (eHealth) literacy measured with the eHealth Literacy Scale (eHEALS; sum score of 8=lowest to 40=highest perceived eHealth literacy). The data were analyzed in IBM-SPSS24 using relative frequencies. Three univariate multiple regression analyses (linear or binary logistic) were performed to investigate the associations among the sociodemographic factors (age, gender, education, and household income) and digital technology use. RESULTS The participants included 1014 internet users (n=528, 52.07% women) aged 14 to 93 years (mean 54, SD 17). Among all participants, 66.47% (674/1014) completed up to tertiary (primary and secondary) education and 45.07% (457/1017) reported a household income of up to 3500 Euro/month (1 Euro=US $1.18). Over half (579/1014, 57.10%) reported having used digital technologies for health-related purposes. The majority (898/1014, 88.56%) noted that digitization will be important for therapy and health care, in the future. Only 25.64% (260/1014) reported interest in smartphone apps for health promotion/prevention and 42.70% (433/1014) downloaded the COVID-19 contact-tracing app. Although 52.47% (532/1014) reported that they come across inaccurate digital information on the COVID-19 pandemic, 78.01% (791/1014) were confident in their ability to recognize such inaccurate information. Among those who use digital technologies for moderate physical activity (n=220), 187 (85.0%) found such technologies easy to use and 140 (63.6%) reported using them regularly (at least once a week). Although the perceived eHealth literacy was high (eHEALS mean score 31 points, SD 6), less than half (43.10%, 400/928) were confident in using digital information for health decisions. The use of digital technologies for health was associated with higher household income (odds ratio [OR] 1.28, 95% CI 1.11-1.47). The use of digital technologies for physical activity was associated with younger age (OR 0.95, 95% CI 0.94-0.96) and more education (OR 1.22, 95% CI 1.01-1.46). A higher perceived eHealth literacy score was associated with younger age (<i>β</i>=–.22, <i>P</i>&lt;.001), higher household income (<i>β</i>=.21, <i>P</i>&lt;.001), and more education (<i>β</i>=.14, <i>P</i>&lt;.001). CONCLUSIONS Internet users in Germany expect that digitization will affect preventive and therapeutic health care in the future. The facilitators and barriers associated with the use of digital technologies for health warrant further research. A gap exists between high confidence in the perceived ability to evaluate digital information and low trust in internet-based information on the COVID-19 pandemic and health decisions.


Author(s):  
J. B.D. Joshi

E-government systems aim to transition traditional paper-based systems to “paperless” digital information systems to automate and streamline government operations and services. This transformation to digital form raises daunting challenges related to protecting identity and privacy of the citizens. Electronic fraud and identity theft are among the biggest risks to an e-government system that may potentially undermine its success. The CSI/FBI 2005 (Gordon, Loeb, Lucyshyn, & Richardson, 2005) Computer Crime and Security Survey reports more than $30 million in losses attributed to theft of proprietary information and more than a $31 million dollars loss related to unauthorized accesses. According to the data collected by the Consumer Sentinel and Identity Theft Data Clearing House, identity theft accounts for almost 40% of the fraud complaints (FTC, 2005). It is estimated that billions of records are available in both private and government databases describing each citizen’s finances, interests, and demographics. For instance, personal healthcare information about the diseases and health cases inflicting the general population are available in different places including insurance companies and pharmacies. While accessing such data is important for detecting epidemics and bio-terrorism, such accesses can easily encroach into citizen privacy. This demands a balancing act in dealing with issues related to privacy, accountability, national security, and/or good governance. Because of the heterogeneity of an e-government system, the task of protecting identity information as citizens interact with different sub-systems becomes exacerbated. Users typically may need to maintain multiple identities or complete anonymity while interacting with multiple interoperating systems raising severe privacy and identity management problems. For an e-government system to be reliable, and hence successfully deployed, the privacy and identity management issues need to be properly addressed and incorporated in its infrastructure design. Privacy may be defined as “the right of individuals, groups, or institutions to determine for themselves when, how, and to what extent information about them is communicated” (Jajodia, 1998). Thus, unlike security, which is organization-centric, privacy is a person-centric concept and refers to the control that an individual has over the use of his or her personal information. One aspect of the privacy problem is the anonymity of the users, which is aimed at protecting the identity of the users. The identity of an individual is a collection of personal data associated with the individual that uniquely identifies him or her. Associated with each identity is a set of attribute-value pairs, also known as credentials, typically representing a user’s qualifications and personal attributes including sensitive personal information such as name, age, and social security number. The capability to identify entities (subjects, objects, and resources) is essential in order to know what to protect from whom. Depending upon the context, a subset of the identity may be used to signify an individual. Such a “partial identity” is typically bound to the individual with a pseudonym (Köhntopp & Berthold, 2000), and may or may not uniquely identify the individual. Typically, multiplicity of identities for individual entities becomes necessary because of the requirements of anonymity, personal data protection, and controlled access to resources in multidomain e-government systems. Moreover, the notion of privacy and identity is inherently complex and may often be contradictory; furthermore, each stakeholder could have a different perspective on them. In large multidomain e-government system, identity management would typically aim towards providing mechanisms that ensure identity dependability to build and maintain trust and confidence between the interacting entities.


10.2196/32951 ◽  
2021 ◽  
Vol 7 (11) ◽  
pp. e32951
Author(s):  
Karina Karolina De Santis ◽  
Tina Jahnel ◽  
Elida Sina ◽  
Julian Wienert ◽  
Hajo Zeeb

Background Digital technologies are shaping medicine and public health. Objective The aim of this study was to investigate the attitudes toward and the use of digital technologies for health-related purposes using a nationwide survey. Methods We performed a cross-sectional study using a panel sample of internet users selected from the general population living in Germany. Responses to a survey with 28 items were collected using computer-assisted telephone interviews conducted in October 2020. The items were divided into four topics: (1) general attitudes toward digitization, (2) COVID-19 pandemic, (3) physical activity, and (4) perceived digital health (eHealth) literacy measured with the eHealth Literacy Scale (eHEALS; sum score of 8=lowest to 40=highest perceived eHealth literacy). The data were analyzed in IBM-SPSS24 using relative frequencies. Three univariate multiple regression analyses (linear or binary logistic) were performed to investigate the associations among the sociodemographic factors (age, gender, education, and household income) and digital technology use. Results The participants included 1014 internet users (n=528, 52.07% women) aged 14 to 93 years (mean 54, SD 17). Among all participants, 66.47% (674/1014) completed up to tertiary (primary and secondary) education and 45.07% (457/1017) reported a household income of up to 3500 Euro/month (1 Euro=US $1.18). Over half (579/1014, 57.10%) reported having used digital technologies for health-related purposes. The majority (898/1014, 88.56%) noted that digitization will be important for therapy and health care, in the future. Only 25.64% (260/1014) reported interest in smartphone apps for health promotion/prevention and 42.70% (433/1014) downloaded the COVID-19 contact-tracing app. Although 52.47% (532/1014) reported that they come across inaccurate digital information on the COVID-19 pandemic, 78.01% (791/1014) were confident in their ability to recognize such inaccurate information. Among those who use digital technologies for moderate physical activity (n=220), 187 (85.0%) found such technologies easy to use and 140 (63.6%) reported using them regularly (at least once a week). Although the perceived eHealth literacy was high (eHEALS mean score 31 points, SD 6), less than half (43.10%, 400/928) were confident in using digital information for health decisions. The use of digital technologies for health was associated with higher household income (odds ratio [OR] 1.28, 95% CI 1.11-1.47). The use of digital technologies for physical activity was associated with younger age (OR 0.95, 95% CI 0.94-0.96) and more education (OR 1.22, 95% CI 1.01-1.46). A higher perceived eHealth literacy score was associated with younger age (β=–.22, P<.001), higher household income (β=.21, P<.001), and more education (β=.14, P<.001). Conclusions Internet users in Germany expect that digitization will affect preventive and therapeutic health care in the future. The facilitators and barriers associated with the use of digital technologies for health warrant further research. A gap exists between high confidence in the perceived ability to evaluate digital information and low trust in internet-based information on the COVID-19 pandemic and health decisions.


2019 ◽  
Author(s):  
Seigo Mitsutake ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
Rina Miyawaki ◽  
Koichiro Oka

BACKGROUND To develop websites that enhance Internet users’ health knowledge, it is important to identify relevant factors associated with obtaining health knowledge via the Internet. Although an association between eHealth literacy (eHL) and knowledge of colorectal cancer (CRC) has been reported, little is known whether eHL is associated with obtaining knowledge of CRC via the Internet. OBJECTIVE This study aimed to compare the results obtained from Internet users with high or low eHL in searching and using a reputable cancer website to gain CRC knowledge. METHODS This study used respondents to Internet based pre-and post-surveys conducted in 2012. Potential respondents (n = 3,307) were identified from registered individuals aged 40–59 years (n = 461,160) in a Japanese Internet survey company. A total of 1,069 participants responded (response rate: 32.3%), and these pre-survey responders were then divided into high or low eHL groups using the Japanese eHealth Literacy Scale median score (23.5 points). From each group, 130 randomly selected individuals were invited to review the contents of a reputable CRC website, the Cancer Information Service managed by the National Cancer Center, and to respond to a post-survey via e-mail; responses were obtained from 107 individuals from each group. Twenty responses to knowledge statements regarding the definition, risk factors, screening prevention and symptoms of CRC were obtained at pre- and post-surveys, and differences in the correct responses between high and low eHL groups compared using the McNemar test. RESULTS The mean age of the participants was 49.1 (5.5) years. Four statements showed a significant increase in correct responses in both eHL groups pre- and post-survey: “S4. The risk of CRC is greater as a person gets older” (high eHL: P = 0.039, low eHL: P = 0.012), “S8. Cigarette smoking is a risk factor for CRC” (high eHL: P < 0.001, low eHL: P = 0.020), “S11. Obesity is a risk factor for CRC” (high eHL: P = 0.030, low eHL: P = 0.047), and “S12. Excess alcohol consumption is a risk factor for CRC” (high eHL: P = 0.002, low eHL: P = 0.003). Three statements showed a statistically significant increase in correct responses in the high eHL group only: “S1. CRC is cancer of the colon or rectum” (P = 0.003), “S5. The risk of CRC is the same between men and women” (P = 0.041), and “S9. Red meat intake is a risk factor for CRC” (P = 0.002), whereas only one response did in the low eHL group: “S17. Bloody stools are a symptom of CRC” (P = 0.004). CONCLUSIONS Low eHL Internet users appeared less capable of obtaining knowledge of CRC through searching and understanding information from a reputable cancer website than high eHL Internet users.


2020 ◽  
Author(s):  
Shaojie Li ◽  
Yongtian Yin ◽  
Lijun Chen ◽  
Guanghui Cui ◽  
Jiaqin Li ◽  
...  

BACKGROUND Older adults’ health literacy levels are crucial to improving health outcomes and health-related quality of life (HRQoL). However, the impact of eHealth literacy on HRQoL in older adults is unclear. OBJECTIVE The aim of this study was to examine the association between eHealth literacy and HRQoL of older adults and provide reference for the development of network intervention measures related to the health quality of life of the older adults. METHODS An anonymous cross-sectional survey was conducted among 1,201 adults aged 60 or older from Jinan, China. The eHealth Literacy Scale and Short-Form Health Survey (SF-12) were used to measure eHealth literacy and HRQoL. We used linear regression to test the adjusted association between eHealth literacy and HRQoL. RESULTS Most participants (88.9%) had inadequate eHealth literacy. Lower eHealth literacy was related to older age ( F=12.618, P<.001), female gender( t=3.303, P<.01), living in rural areas( F=11.356, P<.001), having less education( F=59.084, P<.001), being unmarried, divorced or widowed( t=4.416, P<.001), having a lower family income( F=38.017, P<.001), living with others(χ2=4.319, P<.05), and not having health insurance( F=12.713, P<.001). There were significant differences across physical functioning( t=-4.862, P<.001), role- physical( t=-2.485, P<.05), bodily pain( t=-3.470, P<.01), general health( t=-4.449, P<.001), vitality( t=-3.498, P<.001), role-emotional( t=-2.654, P<.01), mental health( t=-4.150, P<.001), physical component summary( t=-6.350, P<.001) and mental component summary( t=-4.483, P<.001) between adequate eHealth literacy and inadequate eHealth literacy. After controlling for age, gender, and other covariates, adequate eHealth literacy was positively related to physical component summary ( beta=7.6, P<.001) and mental component summary(beta=4.6, P=.001). CONCLUSIONS This study showed that Chinese older adults with higher eHealth literacy were more likely to contribute to higher HRQoL. Thus, Older adults’ eHealth literacy levels need to be taken into account when formulating health education and promotion programs for older adults, especially when the expected outcome is to improve HRQoL.


Author(s):  
Elke Knisel ◽  
Helge Rupprich ◽  
Annika Wunram ◽  
Markus Bremer ◽  
Christiane Desaive

Health literacy is an important outcome of the discussion of school-related health education and health promotion in the 21st century. Although the improvement of health literacy at an early age is increasingly recognized and few interventions show the development of children´s health literacy, still there is little research in this area. The purpose of the study was to examine the enhancement of health literacy among children in a physical activity-based program at elementary school. In total, 137 students aged 6–12 years participated in the program, which included health knowledge transfer in child-appropriate games and exercises. Participants´ health literacy was assessed using the HLS-Child-Q15-DE at the beginning and the end of the program. The instrument measures the access, understanding, appraisal and application of health-related information on a four-point Likert-type scale. As expected, the Wilcoxon signed-rank test revealed significant increases in self-reported health literacy over time. The results show that the degree of change in health literacy was not associated with gender or age. The results suggest that the physical activity-based program has the potential to improve elementary school children´s health literacy, even though in a single group pilot study.


2013 ◽  
Vol 20 (1) ◽  
pp. 63-78
Author(s):  
Maria Inês de Oliveira Martins

Abstract The need of private insurers for information on the candidate’s health risks is recognized by the law, which places pre-contractual duties of disclosure upon the candidates. When the risks are influenced by health factors, e.g. in the case of life- and health insurances, it implies the provision of health information by the candidates, who thus voluntarily limit their right to privacy. This consent, however, often happens in a context of factual coercion to contract. Next to this, from a legal standpoint, the collection of personal information must respond to the principle of proportionality. Against this background, this article assesses the compatibility of questionnaire techniques that rely on open-ended health related questions with the right to privacy, as protected by Portuguese and international law. It then analyses the extent of pre-contractual duties of disclosure as defined by the Portuguese Insurance Act, which requires the candidate to volunteer all the relevant information independently of being asked for it. In doing so, the article also refers to some other European countries. It concludes that the relevant Portuguese legislation is incompatible both with Portuguese constitutional law and with international law.


2021 ◽  
Vol 2021 (2) ◽  
pp. 88-110
Author(s):  
Duc Bui ◽  
Kang G. Shin ◽  
Jong-Min Choi ◽  
Junbum Shin

Abstract Privacy policies are documents required by law and regulations that notify users of the collection, use, and sharing of their personal information on services or applications. While the extraction of personal data objects and their usage thereon is one of the fundamental steps in their automated analysis, it remains challenging due to the complex policy statements written in legal (vague) language. Prior work is limited by small/generated datasets and manually created rules. We formulate the extraction of fine-grained personal data phrases and the corresponding data collection or sharing practices as a sequence-labeling problem that can be solved by an entity-recognition model. We create a large dataset with 4.1k sentences (97k tokens) and 2.6k annotated fine-grained data practices from 30 real-world privacy policies to train and evaluate neural networks. We present a fully automated system, called PI-Extract, which accurately extracts privacy practices by a neural model and outperforms, by a large margin, strong rule-based baselines. We conduct a user study on the effects of data practice annotation which highlights and describes the data practices extracted by PI-Extract to help users better understand privacy-policy documents. Our experimental evaluation results show that the annotation significantly improves the users’ reading comprehension of policy texts, as indicated by a 26.6% increase in the average total reading score.


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