Do Dr. Google and Health Apps Have (Comparable) Side Effects? An Experimental Study

2020 ◽  
Vol 8 (2) ◽  
pp. 306-317 ◽  
Author(s):  
Stefanie M. Jungmann ◽  
Sebastian Brand ◽  
Johanna Kolb ◽  
Michael Witthöft

Googling and using apps for health-related information are highly prevalent worldwide. So far, little is known about the emotional, body-related, and behavioral effects of using both Google and health-related apps. In our experimental study, bodily symptoms were first provoked by a standardized hyperventilation test. A total of 147 participants (96.6% students) were then randomly assigned to one of three conditions: Googling for the causes of the currently experienced bodily symptoms, using a medical app to diagnose the experienced symptoms, and a waiting control condition. Health-related Internet use for symptoms led to stronger negative affect, increased health anxiety, and increased need to consult a physician compared with the control condition. Googling and using the medical app showed comparable adverse emotional and behavioral effects. The findings are in line with current models of cyberchondria in which health-related Internet use represents an essential factor in maintaining and amplifying emotional distress.

10.2196/16148 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e16148
Author(s):  
Antonia Barke ◽  
Bettina K Doering

Background People often search the internet to obtain health-related information not only for themselves but also for family members and, in particular, their children. However, for a minority of parents, such searches may become excessive and distressing. Little is known about excessive web-based searching by parents for information regarding their children’s health. Objective This study aimed to develop and validate an instrument designed to assess parents' web-based health information searching behavior, the Children’s Health Internet Research, Parental Inventory (CHIRPI). Methods A pilot survey was used to establish the instrument (21 items). CHIRPI was validated online in a second sample (372/384, 96.9% mothers; mean age 32.7 years, SD 5.8). Item analyses, an exploratory factor analysis (EFA), and correlations with parents’ perception of their children’s health-related vulnerability (Child Vulnerability Scale, CVS), parental health anxiety (modified short Health Anxiety Inventory, mSHAI), and parental cyberchondria (Cyberchondria Severity Scale, CSS-15) were calculated. A subset of participants (n=73) provided retest data after 4 weeks. CHIRPI scores (total scores and subscale scores) of parents with a chronically ill child and parents who perceived their child to be vulnerable (CVS+; CVS>10) were compared with 2×2 analyses of variances (ANOVAs) with the factors Child’s Health Status (chronically ill vs healthy) and perceived vulnerability (CVS+ vs CVS−). Results CHIRPI’s internal consistency was standardized alpha=.89. The EFA identified three subscales: Symptom Focus (standardized alpha=.87), Implementing Advice (standardized alpha=.74) and Distress (standardized alpha=.89). The retest reliability of CHIRPI was measured as rtt=0.78. CHIRPI correlated strongly with CSS-15 (r=0.66) and mSHAI (r=0.39). The ANOVAs comparing the CHIRPI total score and the subscale scores for parents having a chronically ill child and parents perceiving their child as vulnerable revealed the main effects for perceiving one’s child as vulnerable but not for having a chronically ill child. No interactions were found. This pattern was observed for the CHIRPI total score (η2=0.053) and each subscale (Symptom Focus η2=0.012; Distress η2=0.113; and Implementing Advice η2=0.018). Conclusions The psychometric properties of CHIRPI are excellent. Correlations with mSHAI and CSS-15 indicate its validity. CHIRPI appears to be differentially sensitive to excessive searches owing to parents perceiving their child’s health to be vulnerable rather than to higher informational needs of parents with chronically ill children. Therefore, it may help to identify parents who search excessively for web-based health information. CHIRPI (and, in particular, the Distress subscale) seems to capture a pattern of factors related to anxious health-related cognitions, emotions, and behaviors of parents, which is also applied to their children.


2021 ◽  
Author(s):  
Sandra Kathrin Schenkel ◽  
Stefanie M. Jungmann ◽  
Maria Gropalis ◽  
Michael Witthoeft

BACKGROUND “Cyberchondria” describes detrimental effects of health-related Internet use. Current conceptualizations agree that cyberchondria is associated with anxiety-related pathologies and might best be conceptualized as a safety behavior, but little is known about its exact underlying mechanisms. OBJECTIVE The present systematic review and meta-analyses were conducted (a) to give an overview of conceptualizations of cyberchondria and its relation to anxiety-related pathologies, (b) to quantify the strength of association to health anxiety by using meta-analytic analyses, and (c) to highlight gaps in the literature, and (d) to outline a hypothetical integrative cognitive-behavioral model of cyberchondria based on the available empirical evidence. METHODS A systematic literature search was conducted using the PubMed, Web of Science, and PsycInfo electronic databases. N = 25 studies were included for the qualitative and n = 7 studies, comprising N = 3,069 individuals, for the quantitative synthesis. Meta-analyses revealed a strong association of cyberchondria (r = .63) and its subfacets (rs = .24 - .66) to health anxiety. RESULTS Results indicate that cyberchondria is a construct distinct, yet related to, health anxiety, obsessive-compulsive symptoms, intolerance of uncertainty, and anxiety sensitivity. Further studies should distinguish between state and trait markers of anxiety-related pathologies and use experimental and naturalistic longitudinal designs to differentiate among risk factors, triggers, and consequences related to cyberchondria. CONCLUSIONS Health-related Internet use in the context of health anxiety is best conceptualized as a health-related safety behavior maintained through intermittent reinforcement. We present a corresponding integrative cognitive-behavioral model.


Author(s):  
Angelina Kouroubali ◽  
Lefteris Koumakis ◽  
Haridimos Kondylakis ◽  
Dimitrios G. Katehakis

The ever-growing demand for acquiring, managing, and exploiting patient health-related information has led to the development of several mobile health apps to support cancer patients. This chapter analyzes the clinical and technological characteristics of mobile apps enabling cancer patients to securely record, manage, and share their information online. It discusses issues relevant to increasing patient experience and acceptance, improving adherence to treatment, and effective support of coordinated care. Outcomes of recent research projects relevant to end user digital engagement, trust, interoperability, and usability/adaptability lead to an integrated approach towards developing quality mobile health apps. Improving quality of life and wellbeing in a secure and safe manner that respects the patients' privacy seems to be the key challenge. Regulation, standardization, and interoperability together with the existence of useful, accurate, and reliable tools for active patient engagement are imperative for efficient cancer disease management.


10.2196/15543 ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. e15543
Author(s):  
Janine Quittschalle ◽  
Janine Stein ◽  
Melanie Luppa ◽  
Alexander Pabst ◽  
Margrit Löbner ◽  
...  

Background The internet has the potential to foster healthy lifestyles and to support chronic disease management. Older adults could benefit from using the internet and other information and communication technology to access health-related information and interventions available online. Objective The aim of this study was to investigate factors influencing internet use in older and oldest age groups and to determine the frequency of internet use for health-related purposes. Methods Using data from a nationally representative telephone survey of older adults aged 75 years and over, a sample of 999 people was assessed using structured clinical interviews. Descriptive and binary logistic regression analyses were performed. Results Overall, 42.6% (418/999) of participants used the internet. Among those, 55.7% (233/417) searched the internet for health-related information. Regression analyses revealed that internet use was significantly associated with younger age (odds ratio [OR] 0.89, 95% CI 0.85-0.92; P<.001), male gender (OR 2.84, 95% CI 2.02-4.00; P<.001), higher education levels (OR 6.69, 95% CI 4.48-9.99; P<.001), a wider social network (OR 1.04, 95% CI 1.01-1.07; P=.01), higher health-related quality of life (OR 1.02, 95% CI 1.00-1.03; P=.006), lower levels of depressive symptoms (OR 0.89, 95% CI 0.80-0.99; P=.04), and higher rates of chronic illness (OR 1.12, 95% CI 1.04-1.21; P<.004). Conclusions This study provides population-representative data on internet use in old age in Germany. People in the older and oldest age groups participate in online activities. Understanding the factors that are associated with older adults internet use can contribute to developing tailored interventions and eHealth (electronic health) services to improve well-being in older adults.


2019 ◽  
Author(s):  
Ji-Soo Lee ◽  
Min-Ah Kang ◽  
Soo-Kyoung Lee

BACKGROUND The health behaviors of young adults lag behind those of other age groups, and active health management is needed to improve health behaviors and prevent chronic diseases. In addition, developing good lifestyle habits earlier in life could reduce the risk of metabolic syndrome (MetS) later on. OBJECTIVE The aim of this study is to investigate the effects of the e-Motivate4Change program, for which health apps and wearable devices were selected based on user needs. The program was developed for the prevention and management of MetS in young adults. METHODS This experimental study used a nonequivalent control group. In total, 59 students from 2 universities in Daegu, Korea participated in the study (experimental group n=30; control group n=29). Data were collected over 4 months, from June 1 to September 30, 2018. The experimental group received a 12-week e-Motivate4Change program intervention, and the control group received MetS education and booklets without the e-Motivate4Change program intervention. RESULTS After the program, the experimental group had significantly higher scores for health-related lifestyle (<i>t</i>=3.86; <i>P</i>&lt;.001) and self-efficacy (<i>t</i>=6.00; <i>P</i>&lt;.001) than did the control group. Concerning BMI, there were significant effects by group (<i>F</i>=1.01; <i>P</i>&lt;.001) and for the group × time interaction (<i>F</i>=4.71; <i>P</i>=.034). Concerning cholesterol, there were significant main effects for group (<i>F</i>=4.32; <i>P</i>=.042) and time (<i>F</i>=9.73; <i>P</i>&lt;.001). CONCLUSIONS The e-Motivate4Change program effectively improved participants’ health-related lifestyle scores and self-efficacy, and significantly reduced their BMI and cholesterol levels. The program can be used to identify and prevent MetS among young adults.


2020 ◽  
Vol 27 (1) ◽  
pp. 58-66
Author(s):  
Yasser Khazaal ◽  
Anne Chatton ◽  
Lucien Rochat ◽  
Vincent Hede ◽  
Kirupamani Viswasam ◽  
...  

<b><i>Background:</i></b> Cyberchondria denotes excessive and repeated online health-related searches associated with an increase in health anxiety. Such searches persist in those with cyberchondria, despite the negative consequences, resembling a pattern of compulsive Internet use. <b><i>Objectives:</i></b> The aim of the present study was to assess compulsive health-related Internet use in relation to cyberchondria while controlling for related variables. <b><i>Method:</i></b> Adult participants (<i>N</i> = 749) were recruited from an online platform. They completed questionnaires assessing the severity of cyberchondria (via the Cyberchondria Severity Scale [CSS]), compulsive Internet use adapted for online health-related seeking (via the adapted Compulsive Internet Use Scale [CIUS]), and levels of intolerance of uncertainty and anxiety, as well as depressive, somatic, and obsessive-compulsive symptoms. A logistic regression analysis was carried out to identify predictors of scores above a cutoff value on the CIUS, indicating compulsive health-related Internet use. <b><i>Results:</i></b> The regression output showed that only the CSS total score and sex made a unique, statistically significant contribution to the model, leading to the correct classification of 78.6% of the cases. Of the CSS subscales, compulsion and distress were the most strongly associated with compulsive health-related Internet use. <b><i>Conclusions:</i></b> The finding that the adapted CIUS scores are associated with cyberchondria indicates that cyberchondria has a compulsive component, at least in terms of health-related Internet use. It also suggests that compulsive health-related Internet use persists despite the distress associated with this activity. Males may engage in cyberchondria more compulsively than females. These findings have implications for research and clinical practice.


2021 ◽  
pp. 8-17
Author(s):  
Ashok Kumar .. ◽  
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...  

The number of mobile Medicare applications has grown exponentially over the past few years, and it is expected to continue to grow soon. The use of health apps promises to be a good way to improve patient care and make work easier for professional. However, some cases of malfunction or misdiagnosis and treatment recommendations have been reported. Regulation is essential to protect users and support product development. So, to suppress the malfunctions we present a pharmacopeia Medicare app in which the customer can see the original profile and the specification of any stimulant with its useful information. This inculcates a clean process which procures a less chance of misapplication of the drugs. These mobile medical app companies have improved access to clinical references and point of care tools. However, it is difficult to identify mobile medical apps that are suitable for the practice of pharmacy. This app is entirely based on our experience in accrediting websites with health-related content and journal.


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