scholarly journals Gender Differences in Online Health-Related Search Behaviors Among Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 660-660
Author(s):  
Matthew Picchiello ◽  
Payton Rule ◽  
Tina Lu ◽  
Brian Carpenter

Abstract Nearly 60% of older adults use the internet for health-related reasons. Some studies have demonstrated differences in the frequency at which men and women perform various online activities. However, few studies have investigated gender differences in health-related search behaviors (HRSB). The purpose of this study was to examine differences in self-reported HRSB between older men and women. A total of 47 older adults (M age = 66.6, 55% female, 87% White) completed a survey assessing perceived usefulness and trust in the internet for health-care information, types of websites used, and reasons for looking up health information. Independent samples t-tests revealed that, compared to women, men regard the internet as more useful in helping them make health care decisions (t (45) = 2.715) and as a more trustworthy source (t (45) = 2.24, p's < 0.05). Men were more likely to get health information through sources affiliated with educational institutions (χ2(1) = 3.9) and government agencies (χ2(1) = 8.8), whereas women were more likely to use social media, (χ2(1) = 4.3, p's < 0.05). Lastly, men were more likely to use the internet to learn about information on medical procedures (χ2(1) = 5.1), while women were more likely to learn about alternative treatments (χ2(1) = 4.9, p 's < 0.05) online. As 72.3% of participants indicated the internet as their first source for health information, interventions geared towards enhancing HRSB for older adults are needed, especially for older women whose HRSB may make them particularly vulnerable to misinformation.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 410-410
Author(s):  
Gul Seckin ◽  
Patricia Campbell ◽  
Megan Lawson

Abstract Gathering health information is among the major motivations for getting online among older adults who want to be better prepared with knowledge to manage their health and personal care. Prior research also showed significant gender differences in health-related use of the Internet. This research examined the effect of Internet use for health information on (a) mistrust of physician, (b) empowerment, (c) self-care, and (d) worry and/or anxiety. The sample (N=710; Mean= 48.82, SD=16.43) was randomly drawn from a national probability-based online panel. We performed gender-stratified sub-sample analyses of older respondents (age ≥60, N= 194). Hierarchical linear regression analyses showed that there is a negative association between older age and feeling empowered because of using the internet for health information (β = -.23, p < .05) and a positive association between older age and mistrust of diagnosis and/or treatment of physician (β = .19, p < .05). Study respondents did not report better self-care as a result of obtaining information from the Internet (β = -.15, p > .05). Lastly, older adults reported less worry and/or anxiety because of information stumbled upon the Internet that may not be accurate (β = -.25, p < .05). Sub-sample analyses showed that there are gender differences. Particularly, older men reported greater mistrust (β = .32, p < .05), and less worry (β = -.44, p ≤ .01) while these associations were not significant among older women. Results call for examination of the synergy of age and gender in perceived benefits of health-related Internet use.


2021 ◽  
Author(s):  
Kyoung-Eun Lee ◽  
Sun Ju Chang ◽  
Eunjin Yang ◽  
Hyunju Ryu

BACKGROUND The Internet use rate of older adults, who were considered underprivileged in the digital world, is steadily increasing. Specifically, the Internet is considered an important channel for providing health information to older adults, who are the largest consumers of medical services. However, due to factors such as technical difficulties, lack of learning opportunities, and deterioration of eHealth literacy, the Internet is not usually a common factor of delivering health information to older adults. Therefore, we developed an intervention program to improve eHealth literacy in older adults according to the information-motivation-behavioral skills (IMB) theory and Intervention Mapping. OBJECTIVE This study aimed to analyze the effect of developed intervention on information, motivation, behavioral skills, and behaviors related to eHealth information in older adults. METHODS This study applied a single group pretest–posttest design. The participants were 46 older adults over the age of 65 recruited from two senior welfare centers in a city in South Korea. We divided the participants into 4 groups and conducted 4 interventions in the computer room of the Senior Welfare Center from March to December 2019. One intervention was performed once a week (2 hours/1 time) for 5 weeks, and the total lecture time was 10 hours. The instructors were all researchers involved in the development of this intervention, and the instructors for each intervention consisted of one lecture instructor and two assistant instructors who supported the participants in the computer practices. RESULTS Participants’computer/web knowledge (χ²= 60.04, P <.001), perceived ease of use (χ²= 17.86, P <.001), perceived enjoyment (χ²= 23.06, P <.001), and attitude toward eHealth information (χ²= 18.47, P <.001) showed statistically significant increases. The eHealth information literacy efficacy score (χ²= 72.76, P< .001), searching performance score (χ²= 162.57, P < .001), and understanding score (χ²= 60.96, P< .001) were also significantly different from those before and after the intervention. However, there was no significant difference in perceived usefulness (χ²= 5.91, P = .052). CONCLUSIONS Our findings suggest that the application of the current theory based methodology can improve the quality of research in developing eHealth information literacy interventions. Additionally, it is necessary to develop and continuously apply various interventions to improve eHealth information literacy among older adults. Finally, measures to improve the Internet environment for older adults should be considered.


10.2196/15099 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15099 ◽  
Author(s):  
Winja Weber ◽  
Anne Reinhardt ◽  
Constanze Rossmann

Background As a result of demographic changes, the number of people aged 60 years and older has been increasing steadily. Therefore, older adults have become more important as a target group for health communication efforts. Various studies show that online health information sources have gained importance among younger adults, but we know little about the health-related internet use of senior citizens in general and in particular about the variables explaining their online health-related information–seeking behavior. Media use studies indicate that in addition to sociodemographic variables, lifestyle factors might play a role in this context. Objective The aim of this study was to examine older people’s health-related internet use. Our study focused on the explanatory potential of lifestyle types over and above sociodemographic variables to predict older adults’ internet use for health information. Methods A telephone survey was conducted with a random sample of German adults aged 60 years and older (n=701) that was quota-allocated by gender, age, educational status, and degree of urbanity of their place of residence. Results The results revealed that participants used the internet infrequently (mean 1.82 [SD 1.07]), and medical personnel (mean 2.89 [SD 1.11]), family and friends (mean 2.86 [SD 1.21]), and health brochures (mean 2.85 [SD 1.21]) were their main sources of health information. A hierarchical cluster analysis based on values, interests, and leisure time activities revealed three different lifestyle types for adults aged over 60 years: the Sociable Adventurer, the Average Family Person, and the Uninterested Inactive. After adding these types as second-step predictors in a hierarchical regression model with sociodemographic variables (step 1), the explained variance increased significantly (R2=.02, P=.001), indicating that the Average Family Person and the Sociable Adventurer use the internet more often for health information than the Uninterested Inactive, over and above their sociodemographic attributes. Conclusions Our findings indicate that the internet still plays only a minor role in the health information–seeking behavior of older German adults. Nevertheless, there are subgroups including younger, more active, down-to-earth and family-oriented males that may be reached with online health information. Our findings suggest that lifestyle types should be taken into account when predicting health-related internet use behavior.


2019 ◽  
Author(s):  
Winja Weber ◽  
Anne Reinhardt ◽  
Constanze Rossmann

BACKGROUND As a result of demographic changes, the number of people aged 60 years and older has been increasing steadily. Therefore, older adults have become more important as a target group for health communication efforts. Various studies show that online health information sources have gained importance among younger adults, but we know little about the health-related internet use of senior citizens in general and in particular about the variables explaining their online health-related information–seeking behavior. Media use studies indicate that in addition to sociodemographic variables, lifestyle factors might play a role in this context. OBJECTIVE The aim of this study was to examine older people’s health-related internet use. Our study focused on the explanatory potential of lifestyle types over and above sociodemographic variables to predict older adults’ internet use for health information. METHODS A telephone survey was conducted with a random sample of German adults aged 60 years and older (n=701) that was quota-allocated by gender, age, educational status, and degree of urbanity of their place of residence. RESULTS The results revealed that participants used the internet infrequently (mean 1.82 [SD 1.07]), and medical personnel (mean 2.89 [SD 1.11]), family and friends (mean 2.86 [SD 1.21]), and health brochures (mean 2.85 [SD 1.21]) were their main sources of health information. A hierarchical cluster analysis based on values, interests, and leisure time activities revealed three different lifestyle types for adults aged over 60 years: the Sociable Adventurer, the Average Family Person, and the Uninterested Inactive. After adding these types as second-step predictors in a hierarchical regression model with sociodemographic variables (step 1), the explained variance increased significantly (<i>R</i><sup>2</sup>=.02, <i>P</i>=.001), indicating that the Average Family Person and the Sociable Adventurer use the internet more often for health information than the Uninterested Inactive, over and above their sociodemographic attributes. CONCLUSIONS Our findings indicate that the internet still plays only a minor role in the health information–seeking behavior of older German adults. Nevertheless, there are subgroups including younger, more active, down-to-earth and family-oriented males that may be reached with online health information. Our findings suggest that lifestyle types should be taken into account when predicting health-related internet use behavior.


2011 ◽  
pp. 2134-2142
Author(s):  
Abrams A. O’Byuonge ◽  
Leida Chen

The increasing use of the Internet by consumers gave rise to an information boom to health-care consumers. Not only could the Internet be used as a communication tool to provide information that would allow patients to make informed decisions, but it could also be used to generate revenue for investors. The dot-com boom of the late 1990s exploited this opportunity, targeting the health-care system, a $1.7 trillion market in the United States alone. Overall, the health-care system is wasteful and costly (Itagaki, Berlin, & Schatz, 2002), and as a result, health-care IT was touted as the magic pill for cutting costs. The Internet boom of the late 1990s saw the emergence of e-health: the delivery of health services and health information through the Internet and Internet-related technologies (Eysenbach, 2001). Leading the many entrepreneurs and venture capitalists who stepped in to seize a piece of the health-care industry cake were WebMD Corp., an online provider of medical information for doctors and consumers in Elmwood Park, New Jersey, and DrKoop.com, an Austin, Texas-born company that later moved to Santa Monica, California, and began doing business as Dr. Koop LifeCare Corp. Dr. C. Everett Koop, the former U.S. surgeon general, had spent over 6 decades in the medical profession. He envisioned the Internet as an opportunity to change the health-care delivery system in order to empower individuals to take charge of their own health care (Musselwhite, 2002). With this vision and his reputation as an advocate for health-care reform, along with the help of two budding entrepreneurs, Don Hackett and John Zacarro, the trio opened a business-to-consumer Internet portal: DrKoop.com. The portal was designed to provide health information to consumers in areas such as chronic illness, food and nutrition, fitness, and medical breakthroughs. At the beginning, the Web site was an overwhelming success, receiving a million hits per month after 2 years of operation, and about 4 million unique visitors per month at its peak. The portal included a personal medical-records system that facilitated the cross-referencing of medications for interactions, as well as the storage of medical reports that could then be accessed by both patients and physicians. DrKoop.com’s public woes began in February 2000 when its auditor, PricewaterhouseCoopers, issued a “going concern qualification,” an ominous warning that highlighted the precarious financial situation the Internet-based health service was in Cleary (2000). By the end of 2000, DrKoop.com was still struggling, and in the first 9 months of 2001 alone, the company’s losses were nearly 3 times its revenue. According to the Securities and Exchange Commision (SEC) filings, from January 1999 until the service’s liquidation in September 2001, DrKoop.com’s losses stood at $193.6 million, dwarfing the $41 million revenue generated during the period. At the site’s peak in July 1999, DrKoop.com’s stock rose to $45.75 per share on the NASDAQ, but was worth $0.12 at the time of bankruptcy filing. In July 2002, Vitacost.com, a privately held online seller of nutritional supplements, paid a paltry $186,000 in cash for DrKoop.com’s assets, which included the brand name, trademarks, domain names, the Web site, and the e-mail addresses of its registered users. WebMD, originally called Healtheon/WebMD, was founded by Jim Clark, who also founded Silicon Graphics and Netscape. Clark’s vision was to connect insurance companies, doctors, and patients over the Internet in order to lower costs and reduce paper trails. Rather than building its own products and services, Healtheon used its highly valued stock to finance acquisitions of leading companies in the industries it targeted. In 1999, it acquired WebMD.com and OnHealth, both leading health portals, giving it access to the consumer health market (Salkever, 2000). Though WebMD lost $6.5 billion on revenue of $530.2 million in the first 9 months of 2001, it still continued to expand long after DrKoop.com had dropped off the radar screen. For the fiscal year ending in December 2003, WebMD reported revenues of $964 million, an increase of 10.6% on the previous year’s revenues, which totaled $871.7 million. Of the 11 health-care mergers and acquisition deals in the first 7 months of 2004, valued at $900 million, WebMD was the leading acquirer (Abrams, 2004). Two of WebMD’s high-profile acquisitions in 2004 were the $160 million cash purchase of ViPS, a privately held provider in Baltimore, Maryland, of information technology to the government, Blue Cross-Blue Shield, and other health-care insurers; and the $40 million acquisition of Dakota Imaging Inc., a private company in Columbia, Maryland, that offered automated health-care claims processing technology. As industry leaders, WebMD and DrKoop.com faced competition from both health-care information portals (such as HealthGrades.com, MDConsult, ZoeMed.com) and online pharmacies that provided consumers with one-stop shopping for medications and medical information (Walgreens.com, drugstore.com, Webvan.com). The threat from the health-care information portals, nevertheless, was minimal due to their limited brand recognition and information coverage. In the online pharmacy sector, however, Walgreens.com gained a substantial market share by combining the best of both worlds: complementing its physical stores located throughout the country by offering online customer service, convenience, and real-time access to a health library that provided comprehensive information on prescription drugs, insurance, and health issues.


Author(s):  
Tamer El-Attar ◽  
Jarvis Gray ◽  
Sankaran N. Nair ◽  
Raymond Ownby ◽  
Sara J. Czaja

The internet has created new possibilities for individuals to assume a more pronounced role in their own healthcare. This paper reports results from a study that examined the perceptions of older people of usability and trust in Internet health information. Information was also gathered on their ability to search for health information. Participants included 64 adults aged 60-82 years who were asked to answer health-related queries using websites that varied in usability. They were also asked to provide ratings of usability and of their trust in Internet health information. The results indicated that performance was lower for the “low usability” websites. Participants also rated these websites as having poorer layout, being harder to navigate, less useful and less understandable. The majority of the sample indicated that they would use the internet to find health information. These findings underscore the importance of considering usability issues when designing e-health applications.


2020 ◽  
Vol 29 (2) ◽  
pp. 218-225 ◽  
Author(s):  
Vinaya Manchaiah ◽  
Monica L. Bellon-Harn ◽  
Rebecca J. Kelly-Campbell ◽  
Eldré W. Beukes ◽  
Abram Bailey ◽  
...  

Objectives There has been a substantial increase in people with health conditions seeking health-related information online. The aim of this study was to examine the media usage by older adults with hearing loss. Method The study used a cross-sectional survey design. A total of 556 older adults with hearing loss (Hearing Tracker website users) completed the survey that was focused on (a) demographic information, (b) general electronic media usage, (c) sources of hearing health information, and (d) social media use for hearing health information. Data were analyzed using descriptive statistics and chi-square tests. Results When seeking hearing health care information, the majority of the participants turned to the Internet (54%) followed by health professionals (34%) as the first response to their symptoms. Both sources were also rated as the easiest means of obtaining hearing health information. The information from health care providers was rated as more reliable and important for decision making than that from the Internet. Facebook and YouTube were the most frequently used social media platforms with over 40% of the respondents using them “most of the time” or “sometimes.” All the social media platforms were rated less favorably than other sources for ease of finding information, reliability, and importance in decision making. Conclusion Older adults with hearing loss use various forms of electronic media for seeking hearing health information. They place the most trust on the information obtained from hearing health care professionals. These professionals need to be aware of the quality of information available on the Internet and social media sources in order to direct patients to credible sources. Supplemental Material https://doi.org/10.23641/asha.12170397


2021 ◽  
Vol 2 (1) ◽  
pp. 29-55
Author(s):  
Elena Link ◽  
Eva Baumann ◽  
Annemiek Linn ◽  
Andreas Fahr ◽  
Peter Schulz ◽  
...  

Patients’ participation in healthcare requires comprehensive health knowledge and can benefit from online health information seeking behaviours (O-HISB). The internet is a particularly vital source for seeking health-related information in many regions of the world. Therefore, we take a European cross-country comparative perspective on O-HISB. We aim to compare the importance of personal, health(care)-related, and cognitive determinants of using the internet for health-related purposes in four European countries. We conducted online surveys among the German, Swiss, Dutch, and Austrian public and described patterns of health information seeking online. The internet seemed to be a widely used source of health information in the four selected European countries. The explanation patterns of personal, health(care)-related, and cognitive factors differ by country and between selecting the internet as a source of health information and the frequency of online use. Using online media appeared to be more common for women and for current health problems. Respondents’ willingness and competencies are essential for online health information seeking. To prevent the increase of social and health-related disparities, there is an urgent need to support underprivileged population groups and increase motivations and eHealth literacy to use the internet for health-related purposes.


Author(s):  
Abrams A. O’Byuonge ◽  
Leida Chen

The increasing use of the Internet by consumers gave rise to an information boom to health-care consumers. Not only could the Internet be used as a communication tool to provide information that would allow patients to make informed decisions, but it could also be used to generate revenue for investors. The dot-com boom of the late 1990s exploited this opportunity, targeting the health-care system, a $1.7 trillion market in the United States alone. Overall, the health-care system is wasteful and costly (Itagaki, Berlin, & Schatz, 2002), and as a result, health-care IT was touted as the magic pill for cutting costs. The Internet boom of the late 1990s saw the emergence of e-health: the delivery of health services and health information through the Internet and Internet-related technologies (Eysenbach, 2001). Leading the many entrepreneurs and venture capitalists who stepped in to seize a piece of the health-care industry cake were WebMD Corp., an online provider of medical information for doctors and consumers in Elmwood Park, New Jersey, and DrKoop.com, an Austin, Texas-born company that later moved to Santa Monica, California, and began doing business as Dr. Koop LifeCare Corp. Dr. C. Everett Koop, the former U.S. surgeon general, had spent over 6 decades in the medical profession. He envisioned the Internet as an opportunity to change the health-care delivery system in order to empower individuals to take charge of their own health care (Musselwhite, 2002). With this vision and his reputation as an advocate for health-care reform, along with the help of two budding entrepreneurs, Don Hackett and John Zacarro, the trio opened a business-to-consumer Internet portal: DrKoop.com. The portal was designed to provide health information to consumers in areas such as chronic illness, food and nutrition, fitness, and medical breakthroughs. At the beginning, the Web site was an overwhelming success, receiving a million hits per month after 2 years of operation, and about 4 million unique visitors per month at its peak. The portal included a personal medical-records system that facilitated the cross-referencing of medications for interactions, as well as the storage of medical reports that could then be accessed by both patients and physicians. DrKoop.com’s public woes began in February 2000 when its auditor, PricewaterhouseCoopers, issued a “going concern qualification,” an ominous warning that highlighted the precarious financial situation the Internet-based health service was in Cleary (2000). By the end of 2000, DrKoop.com was still struggling, and in the first 9 months of 2001 alone, the company’s losses were nearly 3 times its revenue. According to the Securities and Exchange Commision (SEC) filings, from January 1999 until the service’s liquidation in September 2001, DrKoop.com’s losses stood at $193.6 million, dwarfing the $41 million revenue generated during the period. At the site’s peak in July 1999, DrKoop.com’s stock rose to $45.75 per share on the NASDAQ, but was worth $0.12 at the time of bankruptcy filing. In July 2002, Vitacost.com, a privately held online seller of nutritional supplements, paid a paltry $186,000 in cash for DrKoop.com’s assets, which included the brand name, trademarks, domain names, the Web site, and the e-mail addresses of its registered users. WebMD, originally called Healtheon/WebMD, was founded by Jim Clark, who also founded Silicon Graphics and Netscape. Clark’s vision was to connect insurance companies, doctors, and patients over the Internet in order to lower costs and reduce paper trails. Rather than building its own products and services, Healtheon used its highly valued stock to finance acquisitions of leading companies in the industries it targeted. In 1999, it acquired WebMD.com and OnHealth, both leading health portals, giving it access to the consumer health market (Salkever, 2000). Though WebMD lost $6.5 billion on revenue of $530.2 million in the first 9 months of 2001, it still continued to expand long after DrKoop.com had dropped off the radar screen. For the fiscal year ending in December 2003, WebMD reported revenues of $964 million, an increase of 10.6% on the previous year’s revenues, which totaled $871.7 million. Of the 11 health-care mergers and acquisition deals in the first 7 months of 2004, valued at $900 million, WebMD was the leading acquirer (Abrams, 2004). Two of WebMD’s high-profile acquisitions in 2004 were the $160 million cash purchase of ViPS, a privately held provider in Baltimore, Maryland, of information technology to the government, Blue Cross-Blue Shield, and other health-care insurers; and the $40 million acquisition of Dakota Imaging Inc., a private company in Columbia, Maryland, that offered automated health-care claims processing technology. As industry leaders, WebMD and DrKoop.com faced competition from both health-care information portals (such as HealthGrades.com, MDConsult, ZoeMed.com) and online pharmacies that provided consumers with one-stop shopping for medications and medical information (Walgreens.com, drugstore.com, Webvan.com). The threat from the health-care information portals, nevertheless, was minimal due to their limited brand recognition and information coverage. In the online pharmacy sector, however, Walgreens.com gained a substantial market share by combining the best of both worlds: complementing its physical stores located throughout the country by offering online customer service, convenience, and real-time access to a health library that provided comprehensive information on prescription drugs, insurance, and health issues.


2021 ◽  
pp. 152483992110097
Author(s):  
Susan Patton ◽  
Jennifer Vincenzo ◽  
Leanne Lefler

Aim To explore gender differences in older adults’ perceptions about preventing falls. Background Falls are a major problem for older adults and health care systems and a challenge to the aging population. Consideration of older adults’ perceptions of fall prevention is needed to increase their engagement in evidence-based prevention strategies. Method A qualitative analysis of secondary data was performed. Results Three major themes emerged: We’ve Seen It, Women Are Caregivers, and Men Are Analyzing Risks and Modifying Behaviors. The men and women in this study shared information about falls and fall prevention in alignment with traditional role expectations. The women learned about falling through their roles as caregivers and prevented falls by controlling extrinsic risk factors indoors such as holding onto handrails on stairs or making home modifications. The men demonstrated an analytical approach to reducing risk such as employing improved safety measures during outdoors activities as a responsibility to maintain independence. Implications The different perceptions of men and women influence what they do to engage in fall prevention. Health care professionals need to consider gender differences and take an individualized approach that includes allowing older adults to share their experiences, acknowledging their successful fall prevention behaviors, and validating and addressing their concerns.


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