Abstract
Background
Over the last decade, the Internet has become an important source of health-related information for a wide range of users worldwide. Yet, little is known about the personal characteristics of Egyptian Internet users who search for online health information (OHI).
Objective
The aim of the study was to identify the personal characteristics of Egyptian OHI seekers and to determine any associations between their personal characteristics and their health information-seeking behavior.
Methods
This cross-sectional questionnaire study was conducted from June to October 2015. A Web-based questionnaire was sent to Egyptian users aged 18 years and older (N=1400) of a popular Arabic-language health information website. The questionnaire included (1) demographic characteristics; (2) self-reported general health status; and (3) OHI-seeking behavior that included frequency of use, different topics sought, and self-reported impact of obtained OHI on health behaviors. Data were analyzed using descriptive statistics and multiple regression analysis.
Results
A total of 490 participants completed the electronic questionnaire with a response rate equivalent to 35.0% (490/1400). Regarding personal characteristics, 57.1% (280/490) of participants were females, 63.4% (311/490) had a university level qualification, and 37.1% (182/490) had a chronic health problem. The most commonly sought OHI by the participants was nutrition-related. Results of the multiple regression analysis showed that 31.0% of the variance in frequency of seeking OHI among Egyptian adults can be predicted by personal characteristics. Participants who sought OHI more frequently were likely to be female, of younger age, had higher education levels, and good self-reported general health.
Conclusions
Our results provide insights into personal characteristics and OHI-seeking behaviors of Egyptian OHI users. This will contribute to better recognize their needs, highlight ways to increase the availability of appropriate OHI, and may lead to the provision of tools allowing Egyptian OHI users to navigate to the highest-quality health information.
Keywords: Internet, information-seeking behavior, computer literacy, surveys and questionnaires, Egypt
Introduction
The use of the Internet as a source of health information has increased considerably over the last decade worldwide [1]. Many Internet users have switched to the Internet to obtain information about health and health care [2,3]. The Internet World Stats report indicates that the number of Internet users in Egypt has increased from 29.8 million in June 2015 (32.6% of the population) to 33.3 million in June 2016 (37.0% of the population) [4]. Most of this growth in Internet use has been around social activities (social media and email), educational activities, and playing games. However, the number of Egyptian Internet users who search for health-related information has increased from 29.7% in 2012 to 32.4% in 2013 from the total Egyptian Internet users as reported by the Egyptian Ministry of Communication and Information Technology (MCIT) [5]. Whereas most health-related websites funded by the Egyptian Government are targeting professional users, there is now a range of private Arabic language websites providing general health information to users; however, their quality tends to be variable [6].
Online health information (OHI) seekers are defined as “Internet users who search online for information on health topics, whether they are acting as consumers, caregivers or patients aiming to take more control of their health” [7]. The variability of personal characteristics such as age, gender, race or ethnicity, and income levels can be a predictor for using the Internet as a source of health information [8-10].
Using the Internet to search for health information has many advantages: easy access, availability of a wide range of illustrated and audiovisual health resources, as well as providing an opportunity to ask experts’ opinion [11]. Furthermore, its anonymity enables users to express their health problems and share experiences privately with other people in a similar situation [12]. The Internet can contribute to the improvement of social interaction, better coping with life situations, more knowledge about particular diseases, emotional relief, and improvement in clinical outcomes for health information seekers [13]. Despite the advantages of using OHI, the Internet may also present a great risk for consumers when they are not aware of the quality standards of the obtained health information [14,15]. Studies have reported that health information available on the Internet is sometimes scientifically incomplete or inadequate [16,17]. When the health information obtained from the Internet is of questionable quality, it may negatively influence the doctor-patient relationship [18,19]. The wide variability of resources on the Internet and the commercial interest of some providers can cause confusion to the user and make it difficult to locate accurate and reliable health information [17]. Additionally, there are some barriers to access the Internet such as lack of computer skills, lower levels of education, and geographic location [20,21].
Public awareness of the usefulness of OHI has risen in low- and middle-income countries as well as in the Arab world [22,23]. Although the number of Egyptian OHI seekers has increased, knowledge of personal characteristics of OHI seekers and their motives behind searching for OHI is still limited [5]. This study aimed to identify the association between personal characteristics of Egyptian OHI seekers and their health information-seeking behavior. This may help to improve ways of promoting efficient and appropriate OHI for users and harnessing the benefits of the Internet as a source of health information.
Methods
Data for this cross-sectional questionnaire study was collected from June to October 2015. An electronic questionnaire was sent to registered users meeting the inclusion criteria (currently living in Egypt and aged 18 years or older; N=1400) of a widely used Arabic language health information website (6abibak.com) by the website administrator. Two reminders were sent to the selected participants in order to improve the response rate. The invitation included information about the aim of the study and reassurance about the anonymity of collected data. After completing the consent form, participants progressed to complete the Web-based questionnaire. The questionnaire was developed based on previous studies[16,17,24,25]. The questionnaire was divided into the following three sections:
Sociodemographic characteristics: this included age, gender, levels of education, employment status (employed or not employed), marital status, and whether participants were covered by a health insurance scheme or not
Health status: participants were asked whether they had any chronic health problems and to rate their self-reported general health status on a scale ranging from poor to excellent
Health information-seeking behavior: participants were asked about their main source of health information, the frequency of using OHI (hours/ week), rating the quality of the OHI obtained, health topics they had searched for on the Internet, and whether they had made any behavioral change resulting from the obtained OHI.
The study was approved by the Ethics and Research Committee of The Faculty of Medicine, Suez Canal University, Egypt.
Statistical Analysis
Statistical analysis was performed using SPSS statistical software (version 22; SPSS Inc). Descriptive statistics (eg, means and standard deviations) were used in the initial data analysis. Chi-square test was used to identify associations between different personal characteristics of the study participants and the use of Internet as the main source of health information. The level of statistical significance was set at P value<.05.
Standard multiple regression analysis was carried out to assess the contribution of personal characteristics (the independent variables) to the frequency of using OHI among the participants as a dependent variable. Independent variables were presented as a sequence of nested models. Model 1 included age, gender, and educational level. In model 2, we added self-reported general health and having a chronic health problem. In model 3, we added using the Internet as the main source of health information. In model 4 we added any self-reported behavioral changes due to the obtained OHI.
Results
A total of 490 participants completed the Web-based questionnaire with a response rate of 35.00% (490/1400).
Sociodemographic Characteristics
The main sociodemographic characteristics of study participants are summarized in Table 1. The mean age of the participants was 36.8 years. The number of female participants (57.1%, 280/490) was marginally higher than the male participants (42.9%, 210/490); 63.4% (311/490) were university graduates, and 61.6% (302/490) were employed.
Table 1.
Sociodemographic characteristics | n (%) | |
Age (years) | ||
18-20 | 36 (7.3) | |
20-35 | 242 (49.4) | |
35-50 | 181 (36.9) | |
≥50 | 31 (6.4) | |
Gender | ||
Male | 210 (42.9) | |
Female | 280 (57.1) | |
Highest level of education | ||
Primary education | 69 (14.2) | |
Secondary education | 110 (22.4) | |
University degree (undergraduate or postgraduate) | 311(63.4) | |
Social status | ||
Never married before | 187 (38.2) | |
Married | 251 (51.2) | |
Divorced or widow or widower | 52 (10.6) | |
Employment | ||
Employed | 302 (61.6) | |
Unemployeda | 96 (19.6) | |
Student | 92 (18.8) | |
Self-reported general health | ||
Excellent | 95 (19.3) | |
Good | 282 (57.6) | |
Poor | 113 (23.1) | |
Having a chronic health problem | Yesb | 182 (37.1) |
Having health insurance cover | Yes | 330 (67.3) |
aUnemployed also included housewife or retired.
bHaving one or more chronic health problems.
Self-Reported Health Status
About 76.9% (377/490) participants rated their general health as good or excellent; meanwhile, only 23.1% (113/490) rated it as poor. Of all the participants, 67.3% (330/490) reported that they had health insurance coverage (either private or government-based coverage). Additionally, 37.1% (182/490) of the participants reported one or more chronic health problems.
Health Information-Seeking Behavior
The mean time spent searching for OHI was 1.58 (SD 2.13) hours/ week (Table 2). Of all the respondents, more than half (55.4%, 271/490) considered the Internet as a main source for health information, followed by consulting physicians (30.7%, 151/490), whereas TV and radio were the least commonly used sources for health information (3.9%, 19/490). The main reasons for preferring OHI were easy access (47.2%, 231/490) and getting more information about specific health problems (30.8%, 151/490),whereas only 11.6% (57/490) participants preferred OHI because of its ability to preserve the user’s anonymity.
Table 2.
OHIa-seeking behavior of the participants | n (%) | |
Main source of health-related informationb | ||
Internet | 271 (55.4) | |
Physicians | 151 (30.7) | |
Family members or friends or colleagues | 49 (10.0) | |
Radio or TV | 19 (3.9) | |
Others | 79 (16.1) | |
Average time spent on health information Web pages (hour/week) | ||
<2 | 226 (46.1) | |
2-5 | 150 (30.7) | |
>5 | 114 (23.2) | |
Main reason behind preferring OHI | ||
Easy access | 231(47.2) | |
Improving understanding of a specific health problem | 151 (30.8) | |
Anonymity | 57 (11.6) | |
Recommended by family, friend, or physician | 51(10.4) | |
Web pages visited for health-related information | ||
Scientific societies | 111 (22.6) | |
Websites recommended by search engines such as Google, Yahoo, etc. | 163 (33.3) | |
Websites related to Ministry of Health or universities | 81 (16.5) | |
No special preference | 135 (27.6) | |
Participant rating of the OHI quality | ||
Excellent | 172 (35.2) | |
Good | 235 (47.9) | |
Fair | 83 (16.9) | |
Poor | 0 | |
Looking for OHI | ||
For themselves | 262 (53.5) | |
For someone else | 150 (30.6) | |
Both | 78 (15.9) | |
Search topics | ||
New health issue | 126 (25.7) | |
Longstanding health issue | 152 (31.0) | |
Both | 212 (43.3) | |
Preferred search location for OHI | ||
Home | 309 (63.1) | |
Work | 94 (19. 3) | |
Othersc | 87 (17.6) |
aOHI: online health information.
bMultiple responses allowed.
cOthers include public places and Internet cafe.
The majority of participants (83.1%, 407/490) rated the quality of OHI as good or excellent, and 16.9% (83/490) rated it as fair, whereas none rated it as poor. About 53.5% (262/490) of participants reported looking for health information for their own health issues, whereas 30.6% (150/490) were looking for health information for someone else, for example, family member or a friend (Table 2).
Table 3 compares personal characteristics of the participants and their use of the Internet as the main source of information, which was significantly higher among female participants (χ21=5.8, P=.01), younger age group participants (χ21=10.4, P=.001), and participants who reported having chronic health conditions (χ21=14.6, P=.001; Table 3). Using the Internet as the main source of health information was significantly higher among participants who reported behavioral changes from the obtained (χ21=9.1, P=.002, Table 3).
Table 3.
Personal characteristics | n | Using the Internet as a main source of health information n (%) |
P valuea | |
Age (years) | ||||
<35 | 278 | 208 (74.8) | .001 | |
≥35 | 212 | 129 (60.8) | ||
Gender | ||||
Male | 210 | 103 (49.1) | .01 | |
Female | 280 | 168 (60.0) | ||
Having chronic diseasesb | Yes | 182 | 121 (66.5) | .001 |
Reporting behavioral changes after obtaining OHIc | Yes | 283 | 173 (61.1) | .002 |
aResult is significant at P<.05.
bHaving one or more chronic health problems.
cOHI: online health information.
Participants reported seeking OHI for one or more of a broad range of health topics. About 63.8% (312/490) of the participants indicated that they sought information about nutrition and 41.9% (205/490) of the participants reported using the Internet to find information about chronic health conditions, whereas 23.7% (116/490) searched for sexual health information and 22.6% (110/490) participants searched for mental health issues (Figure 1).
Table 4 shows the results of the multiple regression analysis with personal characteristics as independent variables and the frequency of using OHI as a dependent variable. In model 1, the regression coefficient of the independent variables age (beta=−0.16), gender (beta=.02), and level of education (beta=.13) were statistically significant. The model showed that younger participants spent more time on searching OHI than older participants. Model 1 can predict 23.2% of the variance in using OHI among the participants .
Table 4.
Personal characteristics | Model 1 | Model 2 | Model 3 | Model 4 | ||||
Betaa | SEb | Beta | SE | Beta | SE | Beta | SE | |
Age | −0.19 | 0.04 | −0.19 | 0.04 | −0.16 | 0.03 | −0.16 | 0.03 |
Female (vs male) | .22 | 0.04 | .21 | 0.04 | .22 | 0.03 | .20 | 0.04 |
Primary educated (vs college graduate) | .62 | 0.08 | .09 | 0.06 | .09 | 0.10 | .09 | 0.08 |
Secondary educated (vs college graduates) | .12 | 0.09 | .11 | 0.08 | −0.12 | 0.09 | .13 | 0.09 |
Poor general health (vs good) | .07 | 0.12 | .07 | 0.10 | .07 | 0.12 | ||
Fair general health (vs good) | −0.01 | 0.26 | −0.05 | 0.26 | .02 | 0.26 | ||
With chronic disease (vs without). | .06 | 0.02 | −0.02 | 0.02 | .03 | 0.08 | ||
Health insurance (vs noninsured) | .07 | 0.18 | .06 | 0.18 | .07 | 0.18 | ||
Internet as the main source of health information (vs not) | .12 | 0.19 | .07 | 0.23 | ||||
Behavior changes (vs no changes) | . 95 | 0.19 | ||||||
Constant | - | 3.13 | - | 5.71 | - | 5.80 | - | 5.49 |
F value | 18.02 | 12.80 | 12.71 | 11.94 | ||||
R2 | 0.23 | 0.28 | 0.29 | 0.31 |
aBeta: unstandardized.
bSE: standard error.
Adding the self-reported general health status in regression model 2, a statistically significant increase in R2(from 0.23 to 0.28, P<.05) occurred. The direction and the significance effect of age, gender, and education remain the same as in model 1. Adding the use of the Internet as a main source of health information in regression model 3, a further statistically significant increase occurred in the variance in frequency of using OHI (R2=.29, P<.05). The regression coefficients were statistically significant for the following independent variables (P<.05): age, gender, levels of education, and having a chronic health problem.
Overall, 31.0% of the variance in frequency of using OHI can be predicted by the personal characteristics of Internet users (F=9.94, P<.05, Model 4). The multiple regression analysis showed that the main predictors are being female, of younger age, having a higher level of education, reporting good general health, having a chronic health problem, and using the Internet as a main source of health information.
Discussion
Principal Findings
In our study, we explored characteristics and behaviors of Egyptian OHI seekers. Our findings showed that the main personal characteristics associated with more frequent OHI searching were younger age, female gender, higher education, and reporting good general health.
The study participants represent a small sample of Egyptian Internet users who seek OHI. We have no data of those who declined to take part in the study or those who had not searched OHI at any given time. Accordingly, the results of the study can be generalized only to Egyptian OHI seekers. Participants’ answers to the questionnaire were self-reported and could not be independently verified. None of the participants rated the quality of OHI as poor, which may be because participants who took part in the study were active users of a health website.
In relation to the association between gender and OHI-seeking behavior, our findings show that female participants (57.1%) have looked for OHI more frequently than male participants (42.9%). This may arise from curiosity about their own health, as women seem to be more involved in decisions about their health [26]. Similar results were reported by Rice et al, which shows that the female gender is an important predictor for OHI-seeking behavior [12]. However, this should be seen in the context that according to a 2013 report from the Egyptian MCIT, a minority (44.4%) of Egyptian Internet users were females, whereas 56.6% were males [5].
The report also stated that 72% of Egyptian Internet users ranged between 15-44 years old, whereas only 19% were aged 45 years or older [5]. In this study, we found that younger participants sought OHI more frequently than older participants. The reason for that may be that younger OHI seekers are more familiar with Internet use [25]. Similarly, Nolke et al reported that the probability of seeking OHI in German participants decreased with increasing age [27].
Participants’ level of education also had a considerable impact on OHI seeking behavior. In our study, participants with higher educational level spent more time seeking for OHI. This is to be expected given that 73% of Egyptian Internet users were university graduates [5]. Cotten et al found that OHI seekers tended to have higher levels of education than those who did not seek OHI, which confirms a link between educational level and OHI seeking [28].
Our findings also show that OHI seekers with good self-reported general health were likely to search for OHI more frequently than those with poor general health. Maybe because more than 50% of the participants were less than 35 years old, this meant that they were more likely to be in good general health. Similarly, Weaver et al found that healthier people use OHI more frequently in a proactive manner for health promotion or to maintain a healthy lifestyle [8]. However, Cotten et al found that healthier persons seek OHI less frequently than those with poor general health [28].
We found that people who reported one or more chronic health problems were more likely to search for OHI more frequently than people without any chronic health conditions. This link between having a chronic health problem and the frequency of OHI seeking is supported by some researchers, whereas others did not find a significant association [10,29-32]. The reason for this discrepancy is not clear but it might be argued that the two groups used OHI differently: healthy participants focused on improving their lifestyles, whereas people with chronic illness sought to improve their current health condition.
In this study, participants reported seeking OHI for a broad range of health topics including nutrition, sexual health, chronic health problems, and mental health. We found that nutrition-related health information is the most common topic sought on the Internet especially by female participants. This finding can be seen in the context of increased prevalence of nutrition-related health problems among Egyptian adults [33]. As reported in the DHS report in 2015, 30% of Egyptian adults are overweight or obese, and 6.8% of Egyptian children under the age of 5 years were malnourished (eg, micronutrients deficiency or anemic) [34,35].
Despite the ease of finding health information on the Internet, it may be difficult to judge the reliability of this health information. This may explain the variability in the level of trust in OHI [17]. Most OHI seekers in Arabic countries rely on health sites maintained mainly by the private sector rather than by ministries of health or other public services. Arabic language health information websites need a substantial improvement of their quality in order to improve their trustworthiness [6]. However, most of our participants rated the quality of the OHI accessed as “good” or “excellent.” For some, this may be linked to lack of trust in health professionals as much as increased trust in OHI sites.
Conclusions
The Internet has become an important tool with the potential to improve information dissemination and health care delivery to consumers. Continuing efforts to maximize the potential of this tool could have great value for users. The great range of health topics as well as the easy access to OHI has made the Internet a major and growing source of health information for Egyptian Internet users. We found that personal characteristics of OHI seekers such as younger age, females, higher levels of education, and having generally good health make a difference in how frequently they access the Internet for health information. An understanding of personal characteristics may inform education of OHI seekers to help them to take an active role in improving their health and engaging with treatment plans; however, more research is needed to identify whether these characteristics can be confirmed in a representative sample of Egyptian Internet users.
It is also concerning that most providers of Arabic language OHI are privately owned and therefore, their priority may be increasing advertising revenue rather than providing reliable information. There is a need for public funding for quality controlled websites, for example, equivalent to the United Kingdom’s National Health Service (NHS) Choices. Cooperation from health care providers is also needed in supporting their patients with reliable resources and assisting them to properly evaluate the quality of information available on the Internet in order to promote efficient, reliable, and appropriate OHI use for Internet users.
Abbreviations
- OHI
online health information
- MCIT
Ministry of Communication and Information Technology
- NHS
National Health Service
Footnotes
Conflicts of Interest: The authors whose names are listed in this manuscript certify that they have no conflict of interest in the subject matter or materials discussed in this manuscript.
References
- 1.Laugesen J, Hassanein K, Yuan Y. The impact of internet health information on patient compliance: a research model and an empirical study. J Med Internet Res. 2015;17(6):e143. doi: 10.2196/jmir.4333. http://www.jmir.org/2015/6/e143/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Cutilli CC. Seeking health information: what sources do your patients use? Orthop Nurs. 2010;29(3):214–9. doi: 10.1097/NOR.0b013e3181db5471. [DOI] [PubMed] [Google Scholar]
- 3.Gaal I. [Impact of the internet on physician-patient relationship] Orv Hetil. 2016 Apr 24;157(17):680–4. doi: 10.1556/650.2016.30456. [DOI] [PubMed] [Google Scholar]
- 4.Internet world status. 2016. [2016-09-08]. Egypt internet usage and telecommunications report http://www.internetworldstats.com/stats1.htm .
- 5.MCIT. [2017-05-30]. Measuring the digital society in Egypt: internet at a glance http://www.mcit.gov.eg/Upcont/Documents/Publications_1272015000_Measuring_the_Digital_Society_in_Egypt_12_.pdf .
- 6.Huziah M. Hon.ch. 2010. [2017-02-15]. Assessment of online health information for Arabic sites http://www.hon.ch/Global/pdf/Press/Assessment_of_Arabic_Sites_Report_17-09-09.pdf .
- 7.Lambert SD, Loiselle CG. Health information seeking behavior. Qual Health Res. 2007 Oct;17(8):1006–19. doi: 10.1177/1049732307305199. [DOI] [PubMed] [Google Scholar]
- 8.Weaver JB, Mays D, Weaver SS, Hopkins GL, Eroglu D, Bernhardt JM. Health information-seeking behaviors, health indicators, and health risks. Am J Public Health. 2010 Aug;100(8):1520–5. doi: 10.2105/AJPH.2009.180521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Diaz JA, Griffith RA, Ng JJ, Reinert SE, Friedmann PD, Moulton AW. Patients' use of the internet for medical information. J Gen Intern Med. 2002 Mar;17(3):180–5. doi: 10.1046/j.1525-1497.2002.10603.x. http://europepmc.org/abstract/MED/11929503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bundorf MK, Wagner TH, Singer SJ, Baker LC. Who searches the internet for health information? Health Serv Res. 2006 Jun;41(3 Pt 1):819–36. doi: 10.1111/j.1475-6773.2006.00510.x. http://europepmc.org/abstract/MED/16704514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gallagher S, Doherty DT. Searching for health information online: characteristics of online health seekers. J Evid Based Med. 2009 May;2(2):99–106. doi: 10.1111/j.1756-5391.2009.01021.x. [DOI] [PubMed] [Google Scholar]
- 12.Rice RE. Influences, usage, and outcomes of internet health information searching: multivariate results from the Pew surveys. Int J Med Inform. 2006 Jan;75(1):8–28. doi: 10.1016/j.ijmedinf.2005.07.032. [DOI] [PubMed] [Google Scholar]
- 13.Beck F, Richard J, Nguyen-Thanh V, Montagni I, Parizot I, Renahy E. Use of the internet as a health information resource among French young adults: results from a nationally representative survey. J Med Internet Res. 2014;16(5):e128. doi: 10.2196/jmir.2934. http://www.jmir.org/2014/5/e128/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Black AD, Car J, Pagliari C, Anandan C, Cresswell K, Bokun T, McKinstry B, Procter R, Majeed A, Sheikh A. The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med. 2011 Jan;8(1):e1000387. doi: 10.1371/journal.pmed.1000387. http://dx.plos.org/10.1371/journal.pmed.1000387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bessière K, Pressman S, Kiesler S, Kraut R. Effects of internet use on health and depression: a longitudinal study. J Med Internet Res. 2010;12(1):e6. doi: 10.2196/jmir.1149. http://www.jmir.org/2010/1/e6/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hesse BW, Moser RP, Rutten LJ. Surveys of physicians and electronic health information. N Engl J Med. 2010 Mar 4;362(9):859–60. doi: 10.1056/NEJMc0909595. [DOI] [PubMed] [Google Scholar]
- 17.Moretti FA, Oliveira VE, Silva EM. Access to health information on the internet: a public health issue? Rev Assoc Med Bras. 2012;58(6):650–8. doi: 10.1590/s0104-42302012000600008. http://linkinghub.elsevier.com/retrieve/pii/S0104-42302012000600008. [DOI] [PubMed] [Google Scholar]
- 18.Murray E, Lo B, Pollack L, Donelan K, Catania J, Lee K, Zapert K, Turner R. The impact of health information on the internet on health care and the physician-patient relationship: national U.S. survey among 1.050 U.S. physicians. J Med Internet Res. 2003;5(3):e17. doi: 10.2196/jmir.5.3.e17. http://www.jmir.org/2003/3/e17/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.LaValley SA, Kiviniemi MT, Gage-Bouchard EA. Where people look for online health information. Health Info Libr J. 2017 Jun;34(2):146–55. doi: 10.1111/hir.12143. [DOI] [PubMed] [Google Scholar]
- 20.Cline RJ, Haynes KM. Consumer health information seeking on the internet: the state of the art. Health Educ Res. 2001 Dec;16(6):671–92. doi: 10.1093/her/16.6.671. http://her.oxfordjournals.org/cgi/pmidlookup?view=long&pmid=11780707. [DOI] [PubMed] [Google Scholar]
- 21.Edejer TT. Disseminating health information in developing countries: the role of the internet. BMJ. 2000 Sep 30;321(7264):797–800. doi: 10.1136/bmj.321.7264.797. http://europepmc.org/abstract/MED/11009519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Al-Shorbaji N. E-health in the Eastern Mediterranean Region: a decade of challenges and achievements. East Mediterr Health J. 2008;14 Suppl:S157–73. [PubMed] [Google Scholar]
- 23.AlSaadi MM. Evaluation of internet use for health information by parents of asthmatic children attending pediatric clinics in Riyadh, Saudi Arabia. Ann Saudi Med. 2012;32(6):630–6. doi: 10.5144/0256-4947.2012.630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Murray E, Burns J, See TS, Lai R, Nazareth I. Interactive health communication applications for people with chronic disease. Cochrane Database Syst Rev. 2005;(4):CD004274. doi: 10.1002/14651858.CD004274.pub4. [DOI] [PubMed] [Google Scholar]
- 25.Powell J, Inglis N, Ronnie J, Large S. The characteristics and motivations of online health information seekers: cross-sectional survey and qualitative interview study. J Med Internet Res. 2011 Feb;13(1):e20. doi: 10.2196/jmir.1600. http://www.jmir.org/2011/1/e20/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Ek S. Gender differences in health information behaviour: a Finnish population-based survey. Health Promot Int. 2015 Sep;30(3):736–45. doi: 10.1093/heapro/dat063. http://heapro.oxfordjournals.org/cgi/pmidlookup?view=long&pmid=23985248. [DOI] [PubMed] [Google Scholar]
- 27.Nölke L, Mensing M, Krämer A, Hornberg C. Sociodemographic and health-(care-)related characteristics of online health information seekers: a cross-sectional German study. BMC Public Health. 2015;15:31. doi: 10.1186/s12889-015-1423-0. http://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-015-1423-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cotten SR, Gupta SS. Characteristics of online and offline health information seekers and factors that discriminate between them. Soc Sci Med. 2004 Nov;59(9):1795–806. doi: 10.1016/j.socscimed.2004.02.020. [DOI] [PubMed] [Google Scholar]
- 29.Atkinson NL, Saperstein SL, Pleis J. Using the internet for health-related activities: findings from a national probability sample. J Med Internet Res. 2009;11(1):e4. doi: 10.2196/jmir.1035. http://www.jmir.org/2009/1/e4/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wilson V. Patient use of the internet for diabetes information. Nurs Times. 2013;109(23):18–20. [PubMed] [Google Scholar]
- 31.Weymann N, Dirmaier J, von WA, Kriston L, Härter M. Effectiveness of a web-based tailored interactive health communication application for patients with type 2 diabetes or chronic low back pain: randomized controlled trial. J Med Internet Res. 2015;17(3):e53. doi: 10.2196/jmir.3904. http://www.jmir.org/2015/3/e53/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ayers SL, Kronenfeld JJ. Chronic illness and health-seeking information on the Internet. Health (London) 2007 Jul;11(3):327–47. doi: 10.1177/1363459307077547. [DOI] [PubMed] [Google Scholar]
- 33.Hegazi R, El-Gamal M, Abdel-Hady N, Hamdy O. Epidemiology of and risk factors for type 2 diabetes in Egypt. Ann Glob Health. 2015;81(6):814–20. doi: 10.1016/j.aogh.2015.12.011. https://linkinghub.elsevier.com/retrieve/pii/S2214-9996(15)01308-9. [DOI] [PubMed] [Google Scholar]
- 34.The DHS Program. 2015. [2017-02-15]. Egypt health issues survey https://dhsprogram.com/pubs/pdf/FR313/FR313.pdf .
- 35.Kavle JA, Flax VL, Abdelmegeid A, Salah F, Hafez S, Ramzy M, Hamed D, Saleh G, Galloway R. Factors associated with early growth in Egyptian infants: implications for addressing the dual burden of malnutrition. Matern Child Nutr. 2016 Jan;12(1):139–51. doi: 10.1111/mcn.12213. http://europepmc.org/abstract/MED/26373408. [DOI] [PMC free article] [PubMed] [Google Scholar]