Online Health Seeking Behaviour Research Articles

Psychosocial correlates of well-being among people who engage in online health-seeking behaviour

We examined the extent to which neuroticism, health anxiety, social anxiety, and social support predicted well-being in a sample of online users engaging in health-seeking behaviour. We used a cross-sectional online survey to recruit participants who engaged in online health-seeking behaviour. The study included 350 participants who were recruited online using social media platforms such as Reddit and Twitter. A multiple regression was conducted to examine the relationships between neuroticism, health anxiety, social anxiety, social support, and well-being. Participants completed a battery of measures on Survey Monkey consisting of a demographic questionnaire, International Personality Item Pool Big Five Markers, Leibowitz Social Anxiety scale, Short Health Anxiety Inventory, World Health Organisation Five Well-Being Index, and the Multidimensional Scale of Perceived Social Support. We found significant negative correlations between the indicated psychological variables and well-being, indicating that higher levels of neuroticism, social anxiety, and health anxiety were related to lower levels of well-being. We also found significant, positive correlations between the social support variables and well-being, indicating that more social support was correlated with better well-being. The results of the multiple regression demonstrate that neuroticism, health anxiety, family support, and friend support were significant predictors of well-being.

Direct-to-Consumer Telemedicine Practices in the Health and Fertility of Men: A Systematic Review of the Literature.

Men are increasingly turning toward online direct-to-consumer (DTC) men's health platforms to fulfill their health needs. Research surrounding these platforms is lacking and the motivations and predictors underlying this online health-seeking behavior is largely unknown. This review scopes the existing literature concerning DTC men's health and identifies factors influencing engagement, as well as health outcomes of this platform. A structured search was performed following PRISMA guidelines. CINAHL via EBSCO, Embase, MEDLINE via Ovid, PsycINFO, PubMed and Web of Science were searched. Peer-reviewed quantitative and qualitative studies with a focus on demographics and characteristics of those using DTC men's health platforms, as well as studies related to patient outcomes using such platforms, were included. Ten of the 3,003 studies identified met the inclusion and exclusion criteria. Four cross-sectional descriptive studies evaluated the motivations behind men's engagement with DTC platforms. Convenience, embarrassment and health motivation were identified as predominant factors associated with DTC platform use. The review identified a lack of qualitative studies, and major limitations were noted in the quantitative studies that impacted the accuracy of findings. Six further quantitative studies explored the quality of care provided by DTC platforms. DTC platforms were found to have a varying level of adherence to established clinical guidelines, but appeared to provide satisfactory patient outcomes with low levels of patient-reported side effects and adverse events. There is a lack of research within the DTC men's health space given the infancy of the field. Important predictors and motivations underlying men's choices in accessing these platforms have been noted across several studies. However, further studies need to be conducted to investigate the psychosocial underpinnings of this behavior. Studies across a wider variety of male health conditions treated by these platforms will also help to provide insights to guide patient-centered care within the DTC landscape.

The effect of fear of COVID-19 on health-seeking behaviors and Pap smear test rates in women

ABSTRACT This study was carried out to determine the effect of fear of COVID-19 on health-seeking behaviors and Pap smear test rates in women. This study was conducted online between June and September 2021. Women aged 21–65 years were invited to participate in the study via social media. A total of 396 women comprised the sample for this study. Data were collected the Fear of COVID-19 Scale, and the Health-seeking Behavior Scale. Data were evaluated using descriptive statistics, parametric tests and regression analysis. As a result of the study, 11.1 percent of women were found to have had a Pap smear test during the pandemic period. Fear of COVID-19 was determined to have a positive and significant effect on online health-seeking behavior (t = 7.915, p < .001), professional health-seeking behavior (t = 4.503, p < .001), traditional health-seeking behavior (t = 6.037, p < .001), and general health-seeking behavior(t = 8.390, p < .001) while it did not have any effect on having a Pap smear test (p > .05). This study showed that although the fear of COVID-19 positively affected health-seeking behaviors in women, the rates of gynecological examination and Pap smear test rates were low during the pandemic.

Measuring online health-seeking behaviour: Construction and initial validation of a new scale.

Online health-seeking behaviour (OHSB) such as information- and support-seeking encompasses a range of motivations and outcomes, but few studies consider the nuances of OHSB. The current study aimed to (1) develop and provide an initial validation of an OHSB measure, and (2) explore the role of demographic variables in OHSB among adult Internet users. The study was a quantitative, cross-sectional online survey. The study consistent of two data collection waves, including 451 general Internet users (aged 18-73) and 204 online health groups users (aged 19-78) who completed online questionnaires. Exploratory Factor Analysis and Item Analysis in the two samples resulted in a final 37-item measure. The scale comprises three distinct factors: Support seeking (α = .97); information seeking (α = .89); and the Internet as a supplement or alternative to offline medical care (α = .88). Multiple regression analyses indicated that younger age, a higher number of people living in the household, and presence of a chronic condition significantly predicted all three aspects of OHSB. Poorer perceived health also predicted support-seeking online, while being male, employed and a general Internet user (vs. online health group member) also predicted using the Internet as a supplement or alternative to offline medical care. The study presents a useful scale for future research to explore more complex psychosocial, contextual and health-related variables as potential contributors to health-seeking in the online domain.

The Use of Internet and Social Media for Health Information and Its Consequences Among the Population in Saudi Arabia.

Background: The Internet is being increasingly used in our lives. Along with Internet use, social media sites are especially popular and are used by many people on a daily basis. Many studies were conducted to see the people’s perception and their attitude towards the use of the Internet for health information. Such studies were also carried out in Saudi Arabia, but most have been limited to a specific target sample of the population. Our study aimed to assess the perception towards and use of different platforms and search engines to seek health information in Saudi Arabia.Method: A cross‐sectional study was conducted in Saudi Arabia during the year 2021. An Arabic online questionnaire using Google forms was sent to a randomized sample. Microsoft Excel 2016 was used for data entry, and statistical analysis was performed using IBM© SPSS© Statistics version 25 (IBM© Corp., Armonk, NY, USA).Result: Among the 1363 participants, 56.2% were females and 43.8% were males with a mean age of 30.73 ± 12.3. The majority were living in Western region. The most used social media platforms were WhatsApp (91.5%), YouTube (84.6%), and Twitter (82.6%), respectively. The most common medical websites browsed were the Saudi Ministry of Health (67%) and the Food and Drug Administration (54.4%). Some 40.1% of the participants had a medical consultation online from a doctor, and most of them (67.8%) trusted the online physician. Finally, most of the participants (90.9%) thought that health information on the Internet or social media contributes to raising the level of health awareness among the general population. There was a significant relationship between educational level and gender and online health-seeking behavior (p > 0.05).Conclusion: The study reinforced that health information that is sought from the Internet and social media platforms has a great impact on the population, emphasizing the need for credible information sources and how to access them.

The association of online search interest with polio cases and vaccine coverage: an infodemiological and ecological study.

Achievement of universal eradication of paralytic poliomyelitis has remained a challenge. Despite the general decline in cases, multiple outbreaks attributed to poor vaccination still occur. Noncompliance from vaccination can be improved through education on various media platforms. In the internet age, online health-seeking behavior plays a significant role in this regard. Hence, our study investigated the association between global online search interest in polio with the number of polio cases and vaccination coverage. This infodemiological and ecological study utilized Google Trends' search volume index (SVI) for "polio" and the World Health Organization data on the number of polio cases (PC) and vaccine coverage rate (VCR) per country between 2006 and 2019. Associations between SVI for "polio" with PC and with VCR were evaluated. From the years 2006 to 2019, the global inquiry for this term was highest (i.e., SVI at 100) last October 2018. There was a direct correlation between the SVI for "polio" and PC while there was an inverse relationship between SVI and VCR per country per year. Both relationships have weak to moderate strength of associations. Based on our models, a one-unit increase in the SVI leads to a 3.8% increase in the number of polio cases. On the other hand, a one-unit increase in the SVI leads to a 0.01% decrease in the VCR.Conclusions: Dynamic changes in global SVIs for polio may reflect fluctuations in the number of polio cases and rates of vaccine coverage. Our study brings into light the largely untapped and potential use of online search behavior for polio to anticipate changes in PC and VCR in real-time. What is Known: •Parental vaccine hesitancy is a strong hindrance to the eradication of vaccine-preventable diseases. •The internet is a major source of information that modifies this attitude. What is New: •Internet health-seeking behavior can be measured using Google Trends' search volume index and can be used to correlate to certain aspects of public health determinants of a certain disease. •Google Trends' search volume index correlates with the number of polio cases/immunization rates, and this provides a basis for considering public health measures online.

Online videos promote brain health literacy.

Participants (8,179) completed an online survey pre- and post-engagement with three animated films. Level of worry significantly decreased, and over half of the participants indicated that they intended to change their behaviour after watching the videos. The majority of participants indicated they had learned something new from the videos, and found the videos enjoyable. Regression analysis described how participants who reported learning from the videos were more likely to report behavioural change. In addition, enjoyment significantly predicated outcomes of learning and behaviour change. our research suggests that short animated brain health films are effective in educating the public about memory, attention and brain health, may motivate people to make changes in lifestyle, and possibly reduce stigma towards dementia.

Diagnosis of some genital-tract infections: part 2. Molecular tests and the new challenges.

Promptly and accurately diagnosing genital-tract infections is key to instituting appropriate treatment and control of sexually transmitted infections (STIs). Ano-genital tract testing for STIs in the last two decades has not entirely moved away from insensitive methods but it is now at least dominated by highly sensitive molecular methods. These tests can be ordered through the internet for use at home, with self-taken specimens then returned, usually by post, to a clinic or laboratory for testing. The increasing ease of access of the public to this situation, together with increasing on-line health-seeking behaviour, has resulted in a gap between commercial and NHS management pathways for STIs. Crucially, patients who order multiplex test kits on-line for use at home, and other non-specialists, may not realize that it is worthwhile testing only for Neisseria gonorrhoeae, Chlamydia trachomatis, and possibly Trichomonas vaginalis, and Mycoplasma genitalium if the person is symptomatic or their current partner is infected. The detection and recommended treatment of micro-organisms which to some extent are part of the genital-tract microbiome, such as Mycoplasma hominis, Ureaplasma spp. or Gardnerella vaginalis, which do not cause symptoms in the majority of those infected, cannot be recommended. We argue that a shift from specialist-led to patient- and non-specialist-led STI management, in the presence of a clinical leadership vacuum, has increased the risk of inappropriate and unnecessary treatment which will drive macrolide, tetracycline and metronidazole antimicrobial resistance. However, in the past 5–6 years several groups have been able to show the value of on-line testing as a consequence of targeting the most important micro-organisms and using molecular tests to allow rapid and appropriately informed treatment. This should herald a brighter future, although there is still a need for leadership to expertly guide commercial and NHS sectors alike. In turn, this requires dedicated genito-urinary medicine commissioning to be maintained at a time when it appears to be most under threat.

'There was just no-one there to acknowledge that it happened to me as well': A qualitative study of male partner's experience of miscarriage.

Miscarriage occurs in up to one in four pregnancies and can be a devastating event affecting both men and women. Unfortunately, the male partner’s experience of miscarriage is seldom researched, particularly within Australia. This qualitative study involved semi-structured telephone interviews with 10 Australian men, whose partners miscarried between three months and ten years ago. Participants were recruited through professional networks and support organisations. Interviews explored men’s general miscarriage experience and the support received or lacking from both healthcare providers and social networks. Online health seeking behaviour and opinions on online support were also discussed. Data was transcribed verbatim and analysed thematically. Most men described feeling significant grief following miscarriage and felt that there was little acknowledgment of their loss, both from healthcare providers and within their social networks. Feelings of sadness, devastation, powerlessness, fear, shock and a loss of identity were common. All men felt their primary role at the time of miscarriage was to support their partner. Most men did not want to burden their partner with their emotions or grief, and struggled to find people within their social networks to talk to about their loss, leading to feelings of isolation. Overall participants felt there was inadequate support offered to men affected by miscarriage. Men wanted information, informed professionals to talk to and male-orientated support networks. A website was one mechanism suggested by men which could adequately contribute to information and support needs during this time. Men are often greatly affected by miscarriage and yet there is all too often little acknowledgement or support available to them at this time. Men affected by miscarriage want and need further support, including reputable, Australian based information and resources tailored their needs.

Profiles of a Health Information-Seeking Population and the Current Digital Divide: Cross-Sectional Analysis of the 2015-2016 California Health Interview Survey.

BackgroundInternet use for health information is important, given the rise of electronic health (eHealth) that integrates technology into health care. Despite the perceived widespread use of the internet, a persistent “digital divide” exists in which many individuals have ready access to the internet and others do not. To date, most published reports have compared characteristics of internet users seeking health information vs nonusers. However, there is little understanding of the differences between internet users seeking health information online and users who do not seek such information online. Understanding these differences could enable targeted outreach for health interventions and promotion of eHealth technologies.ObjectiveThis study aims to assess population-level characteristics associated with different types of internet use, particularly for seeking online health information.MethodsThe 2015-2016 California Health Interview Survey datasets were used for this study. Internet use was classified as never used the internet (Never use), ever used the internet but not to search for health information in the last 12 months (Use not for health), and ever used the internet and have used it to search for health information in the last 12 months (Use for health). Weighted multinomial logistic regression was used to assess sociodemographic and health characteristics associated with types of internet use. Findings are reported as odds ratios (ORs) with 95% CIs.ResultsAmong 42,087 participants (weighted sample of 29,236,426), 19% reported Never Use of the internet, 27.9% reported Use not for health, and 53.1% reported Use for health. Compared to Never Use individuals, Use for health individuals were more likely to be younger (OR: 0.1, 95% CI 0.1-0.2 for ≥60 years vs <60 years), female (OR: 1.6, 95% CI 1.3-1.9 compared to males), and non-Hispanic white (OR: 0.54, 95% CI 0.4-0.7 for Latinos and OR: 0.2, 95% CI 0.2-0.4 for African Americans) and have a higher socioeconomic status (>400% of Federal Poverty Guidelines; OR: 1.3, 95% CI 1.4-2.4). Overall, characteristics for the Use not for health and Use for health groups were similar, except for those with lower levels of education and respondents not having visited a physician in the last year. For these two characteristics, the Use not for health group was more similar to the Never Use group.ConclusionsOur findings indicate that a digital divide characterized by sociodemographic and health information exists across three types of users. Our results are in line with those of previous studies on the divide, specifically with regard to disparities in use and access related to age, race/ethnicity, and socioeconomic status. Disparities in online health-seeking behavior may reflect existing disparities in health care access extending into a new era of health technology. These findings support the need for interventions to target internet access and health literacy among Never Use and Use not for health groups.

E-Patients: Online Health Seeking Behaviour of Cancer Patients in South Western Nigeria

Background: Cancer has been reported to be one of the top three diseases that patients research on the Internet. This is because the Internet is an evolving hub of cancer information and social support for patients. With the increasing connectivity and over 92,000,000 Internet enabled devices in Nigeria, it is expected that mobile health will proliferate and this will change the way cancer patients gather health information and resources, propagating a new age of e-patients. An e-patient is a health consumer who uses the Internet as a health resource. With over 100,000 new cancer cases diagnosed yearly in Nigeria, low doctor to patient ratio, constrained consultation time and limited access to specialist care, the need to promote patients to become e-patients could efficiently empower them to become better-educated healthcare consumers. However, there is a paucity of data on how Nigerian cancer patients use the Internet. Aim: To measure the utilization rate and patient attitudes toward the Internet. Methods: This descriptive cross-sectional study was carried out among 281 cancer patients across the department of radiotherapy in three teaching hospitals in south-western Nigeria in March 2018, using a self-administered questionnaire. The analysis was done with SPSS version 20, and the level of significance was set at &lt; 0.05. Results: The mean age for the 281 participants was 50.8±14.2 years; with the majority between 41 and 60 years (46.6%); and females (78.3%). About 67.6% owned a smartphone ( Table 1 ); and 32% possessed a personal laptop/desktop computer, or lived in households with people with smartphones (66.9%). Majority of the respondents had consistent access to the Internet (59.1%) ( Table 2 ). They also had an e-mail and social media account (52%) in order of decreasing frequency: Facebook, 52.7%; WhatsApp, 18.1%; and Instagram, 17.1% ( Fig. 1 ). At least 43.1% had searched for cancer information online with the purpose of understanding the disease better (41.6%) ( Fig. 2 ). About 45.2% of the respondents also indicated that they would be comfortable having an online medical consultation with their oncologist; however, they had not used any health/cancer app before (71.2%). Patients aged 41-60 years, married, with tertiary level of education, and monthly incomes ≤ N50,000 (∼$140) were more likely to search for cancer information online ( P &lt; 0.05). About 56.9% of the respondents did not use the Internet for cancer information because they preferred getting information directly from doctors (43.2%), lacked the knowledge of Internet use (33.6%), and lacked access to Internet-enabled devices (20.8%). Conclusion: With more cancer patients being connected to the Internet and an increasing trend to be e-patients, there is a need to leverage technology to provide patient education, consultation, navigation and social support services.[Table: see text] [Table: see text][Figure: see text][Figure: see text]

Predictors of health anxiety during pregnancy.

The internet has become a quick, easy and accessible source for health-related information. Women are more likely to search for health information online and this likelihood increases further during pregnancy. Searching online for health-related information can have both positive and negative impacts upon levels of health anxiety during pregnancy. This research initially explored how health impacts heath anxiety during pregnancy. Secondly, the sources of offline support that predict health anxiety and thirdly, how online health seeking behaviour predicts health anxiety. The sample consisted of 159 pregnant women who completed an online questionnaire to investigate significant predictors of health anxiety during pregnancy. Multiple regression analyses showed health anxiety increased during pregnancy when medical complications had been experienced in a previous pregnancy and if under medical treatment for a non-pregnancy related condition. Interestingly, health anxiety was not affected by medical complications in the current pregnancy. Knowing when you have had enough information and repeating searches were significant predictors of levels of health anxiety, whereas using the same or different sources was not. For many the internet is a convenient platform for information however the information is not always accurate, reliable or helpful. Relevant health care professionals should continue to sign-post pregnant women to validated health information websites with the aim to reassure women during pregnancy. Further research in this area would benefit from exploring how women use the internet when pregnant and devising guidelines which can be followed and recommended when doing so.

Can internet search queries be used for dengue fever surveillance in China?

China experienced an unprecedented outbreak of dengue fever in 2014, and the number of cases reached the highest level over the past 25 years. Traditional sentinel surveillance systems of dengue fever in China have an obvious drawback that the average delay from receipt to dissemination of dengue case data is roughly 1–2 weeks. In order to exploit internet search queries to timely monitor dengue fever, we analyzed data of dengue incidence and Baidu search query from 31 provinces in mainland China during the period of January 2011 to December 2014. We found that there was a strong correlation between changes in people’s online health-seeking behavior and dengue fever incidence. Our study represents the first attempt demonstrating a strong temporal and spatial correlation between internet search trends and dengue epidemics nationwide in China. The findings will help the government to strengthen the capacity of traditional surveillance systems for dengue fever.

Weighting patient satisfaction factors to inform health care providers of the patient experience in the age of social media consumer sentiment

The researchers explored the possibility that patients would go beyond simple ranking and could give weight to previously validated and reliable patient satisfaction factors, while also describing their online habits related to the patient experience and health seeking information in order to inform medical providers on what patients say matters most when evaluating satisfaction with their provider. One thousand one hundred and sixty-four adults completed a 13- item web-based quantitative survey, developed by public health researchers, to weight patient satisfaction factors and describe online health seeking habits of patients across the United States. Proportional weights for each of the patient satisfaction factors were calculated for surgical and non-surgical providers based on participants' allocation of 100 points. Weighted factors revealed that not all factors are weighted evenly and some matter more than others. For both non-surgical and surgical providers, thoroughness of the exam and a provider's ability to answer questions ranked among the top factors. Bivariate analyses found statistically significant differences in proportional weights by gender, age, and writing/seeking provider information online. Patients weight some patient satisfaction factors as more important than others and some are more likely to post online than others. Physicians will be required to act and react quickly to address online patient sentiment and to pay special attention to what patients weigh as the most important. This study is a first step to utilize previously validated and reliable factors to help weight the factors in light of online health seeking and rating behavior.

Identifying medical terms in patient-authored text: a crowdsourcing-based approach

Background and objectiveAs people increasingly engage in online health-seeking behavior and contribute to health-oriented websites, the volume of medical text authored by patients and other medical novices grows rapidly. However, we lack an effective method for automatically identifying medical terms in patient-authored text (PAT). We demonstrate that crowdsourcing PAT medical term identification tasks to non-experts is a viable method for creating large, accurately-labeled PAT datasets; moreover, such datasets can be used to train classifiers that outperform existing medical term identification tools.Materials and methodsTo evaluate the viability of using non-expert crowds to label PAT, we compare expert (registered nurses) and non-expert (Amazon Mechanical Turk workers; Turkers) responses to a PAT medical term identification task. Next, we build a crowd-labeled dataset comprising 10 000 sentences from MedHelp. We train two models on this dataset and evaluate their performance, as well as that of MetaMap, Open Biomedical Annotator (OBA), and NaCTeM's TerMINE, against two gold standard datasets: one from MedHelp and the other from CureTogether.ResultsWhen aggregated according to a corroborative voting policy, Turker responses predict expert responses with an F1 score of 84%. A conditional random field (CRF) trained on 10 000 crowd-labeled MedHelp sentences achieves an F1 score of 78% against the CureTogether gold standard, widely outperforming OBA (47%), TerMINE (43%), and MetaMap (39%). A failure analysis of the CRF suggests that misclassified terms are likely to be either generic or rare.ConclusionsOur results show that combining statistical models sensitive to sentence-level context with crowd-labeled data is a scalable and effective technique for automatically identifying medical terms in PAT.

Patient Internet use for health information at three urban primary care clinics

ObjectiveTo survey a cross section of patients presenting to three urban primary care clinics to understand online health information search behaviors. Design and analysisAt three urban primary care clinics affiliated with University at Buffalo, School of Medicine, 315 patients were interviewed. Interview questions included items on education, demographic information, employment, number of current prescriptions, insurance, online access, and specifics of health-searching behaviors. Chart review determined patient body mass index and number of chronic illnesses. Logistic regression and χ2 statistics were used to investigate the relationship between patient characteristics and the proportion of patients who use the Web for seeking health information. ResultsApproximately 53% of respondents reported using Web or e-mail in the past year and 68% (33% of total sample) of those who accessed the Web used it to search for health information. The two most commonly cited search areas included information about a physical illness and nutrition/fitness. Education and race significantly predicted online health-seeking behavior when considering all factors in the study. Many patients (22%) relied on friends and family to navigate the Web, and 45% of patients reported that the information that they sought was unrelated to their clinical visit. ConclusionCurrent use of the Internet for health information was limited among more disadvantaged patient groups. More research is needed to examine the relationship between health-seeking behavior and patients' management of their health and well-being.