Abstract
Background
People use a variety of means to find health information, including searching the Internet, seeking print sources, and talking to healthcare providers, family members, and friends. Doctors are considered the most trusted source of health information, but people may be underutilizing them in favor of searching the Internet.
Methods
A multinomial logistic regression of cross-sectional data from Cycle 4 of the Health Information National Trends Survey (HINTS) was conducted. Independent variables included gender, age, rurality, cancer history, general health, income, race, education level, insurance status, veteran status, Internet use, and data year; the dependent variable was the first chosen source of health information.
Results
The most frequent initial source of health information was the Internet, and the second most frequent was healthcare providers. There were significant differences in odds of using healthcare providers as the first source of health information. Those likely to use doctors as their initial source of health information were older adults, black adults, adults with health insurance, those who do not use the Internet, and adults who do not have a college degree.
Conclusions
People who use healthcare providers as the first source of health information may have better access to health care and be those less likely to use the Internet. Doctors may have to provide more information to those who do not use the internet and spend time verifying information for those who do use health information from the internet.
Keywords: Health information sources, Information seeking behavior, Health communication, Healthcare providers, Cross-sectional
Background
Individuals want information to manage and improve their health. While the most trusted source of health information is healthcare providers [1], individuals draw on a number of resources for health information. Prior research has found that the Internet is the fastest growing source of health information [2], and is used more among younger adults, people with chronic conditions, the uninsured, and people who live far from their doctor [3, 4].
Despite its widespread use, individuals also frequently distrust information they find on the Internet, seeking to verify the information obtained with a doctor, through other websites, print sources, or with friends and family [5]. This distrust is well warranted - researchers have shown that the quality of information provided on the Internet varies widely by website, and that there is potential for harm due to inaccurate information [6]. As a result, individuals rely on a diversity of resources to help address their health information needs.
Physicians have a vested interest in being a primary and trusted source of health information. Discussing health information strengthens the patient-provider relationship; research indicates that patients appreciate when physicians help them evaluate health information they received from other sources [7]. Further, research has confirmed the importance of timely access to health information to allow patients to make informed treatment decisions at their medical appointments [8] and treatment satisfaction helps encourage adherence and positive health outcomes [9]. Patients prefer to be involved in their own medical decision-making, and the more informed they feel, the more involved they prefer to be in decision-making [10] and the more satisfied they feel with treatment decisions [11, 12]. Further, healthcare providers are often in the only position to know whether the information that individuals receive are appropriate for their conditions, ensuring patients are informed and are using accurate information when making decisions.
Given the diversity of sources of information and its widely varied quality, it is critical that we keep up on trends associated with changes in how individuals source their health information. This analysis updates prior work conducted by Volkman, Luger, Harvey, Hogan, Shimada, Amante, McInnes, Feng, and Houston in 2014 concerning the most frequently used first sources of health information, and characteristics of patients that seek health information from doctors first [13]. The demographic trends among those who seek doctors as the first source of health information are analyzed using expanded data to identify substantive changes in practice.
Methods
Data collection
This study used data obtained through the Health Information National Trends Survey (HINTS 4) [14], an annual survey fielded to a representative sample of United States (U.S.) adults over 18 years of age, sponsored by the National Cancer Institute (NCI), which explores the public’s use of cancer-related information. The fourth version of HINTS, used in this study, was administered by mail to a sample of U.S. civilian, non-institutionalized adults in four separate cycles: 2011, 2012, 2013, and 2014. HINTS had a response rate of 37% in HINTS 4 Cycle 1, 40% in Cycle 2, 35% in Cycle 3, and 34% in Cycle 4. [15, 16] Non-response was systematically more likely for respondents who were male, minority, younger, less educated, or Hispanic. The survey uses a stratified postal address frame to randomly sample residential addresses. Weighting is provided to allow interested researchers to develop population estimates.
Participants
A population sample was obtained from the combined 2011–2014 HINTS data. Of the total 14,451 participants, 10,024 were included in this study. The exclusion criteria, mirrored from Volkman et al. 2014, allow for comparison and extension on prior research and were based on responses to the survey question: “The most recent time you looked for information about health or medical topics, where did you go first?” Participants were excluded if they had a missing response (n = 112), a response error (e.g., multiple responses) (n = 1848), or if they never sought health or medical topic information (i.e., question inapplicable) (n = 2467).
Measures
To quantify the first source used for seeking health information, participants were asked: “The most recent time you looked for information about health or medical topics, where did you go first?” Potential responses to this question included: Internet, doctor/healthcare provider, publications, family/friends/co-workers, telephone service, cancer organization, library, complementary, alternative, or unconventional medicine practitioner, and other. A derived variable was created by dichotomizing the responses as “doctor/healthcare provider” and “other” (i.e., Internet, publications, family/friends/co-workers, other, telephone service, cancer organization, library, and complementary or alternative medicine practitioner).
Sociodemographic characteristics used in this analysis included gender (male/female), age (18–45/ 46–64/65–75/ 76≤), income (<$20,000 / $20,000–$49,999 / $50,000≤), race/ethnicity (non-Hispanic White/non-Hispanic Black/Hispanic/Other), education (<high school/high school graduate/some college/college graduate≤), rurality, and veteran status. Rurality (yes/no) was determined by the 2003 USDA rural/urban designation assigned to the respondent’s mailing address [17]. Veteran status (yes/no) was determined by responses to the following question: “Have you ever served on active duty in the U.S. Armed Forces, military Reserves, or National Guard? Active duty does not include training in the Reserves, or National Guard, but DOES include activation, for example, for the Persian Gulf War.”
Cancer history, general health, and health insurance were included in the analysis as important clinical characteristics. Cancer history (yes/no) was assessed by the question: “Have you ever been diagnosed with cancer?” The question: “In general, would you say your health is? [excellent/very good/good/fair/poor]” was used to assess general health (excellent/very good/good/fair/poor). In 2011 and 2013 participants were categorized as possessing insurance if they had: “Insurance through a current or former employer or union,” “Insurance purchased directly from an insurance company,” “Medicare, Medicaid, Medical Assistance, or any kind of government-assistance plan for those with low incomes or a disability,” “TRICARE or other military health care,” “VA health care,” or “Indian Health Service.” In survey years 2012 and 2014 possession of health insurance was determined by the question: “Do you have any kind of health care coverage, including health insurance, prepaid plans such as HMOs, or government plans such as Medicare?” A variable for health insurance (yes/no) was derived from the combined response data of 2011–2014.
Other sample characteristics included in the analysis were Internet use and Internet access. To determine Internet use (yes/no) participants were asked: “Do you ever go online to access the Internet or World Wide Web, or to send and receive e-mail?” Internet access (dial-up, broadband, cellular, or wireless networks) was assessed by a follow-up question: “When you use the Internet, do you access it through [dial-up, broadband, cellular, or wireless networks]?”
Analytic methods
All analyses were conducted in STATA 14 using survey weighting and jackknife variance estimations provided by HINTS [15]. Analyses were first performed using the combined data from 2011 and 2012 to replicate the findings from Volkman et al. 2014 and ensure model fidelity. These analyses were then extended across 2011–2014, thereby including all currently available data.
Maintaining fidelity to the original paper [13], the data was analyzed describing the first source chosen by participants for health information (Table 1). Weighted descriptive statistics were analyzed for participants who reported a doctor/healthcare provider as their first source of health information (Table 2). Individual logistic regression models were created to explore the association between first source of health information and demographic characteristics as in Volkman et al. 2014. A weighted multivariable logistic regression model was created to explore the adjusted association between first source of health information and demographic characteristics (Table 3). A category for missing data was included in the analysis of the descriptive statistics but was excluded from the logistic model.
Table 1.
First Health Information Source
| Data Years 2011–2012 (N = 5307) | Data Years 2011–2014 (N = 10,024) | |||||
|---|---|---|---|---|---|---|
| Source | N | Weighted % | 95% CI | N | Weighted % | 95% CI |
| Internet | 3315 | 67.63 | 65.89–69.33 | 6353 | 68.72 | 67.35–70.05 |
| Doctor/healthcare provider | 937 | 15.66 | 14.17–17.27 | 1798 | 15.26 | 14.21–16.37 |
| Publications | 652 | 9.39 | 8.38–10.52 | 1138 | 8.89 | 8.12–9.72 |
| Family/friends/co-workers | 235 | 4.95 | 4.17–5.87 | 444 | 4.97 | 4.32–5.72 |
| Other | 72 | 0.99 | 0.66–1.47 | 108 | 0.85 | 0.63–1.15 |
| Telephone service | 40 | 0.61 | 0.40–0.94 | 73 | 0.55 | 0.39–0.76 |
| Cancer organization | 17 | 0.26 | 0.14–0.49 | 30 | 0.24 | 0.14–0.43 |
| Library | 21 | 0.23 | 0.14–0.39 | 45 | 0.30 | 0.21–0.42 |
| Complementary or alternative medicine practitioner | 18 | 0.28 | 0.15–0.50 | 35 | 0.23 | 0.14–0.36 |
CI Confidence Interval
Table 2.
Characteristics of Respondents Choosing Doctor/Healthcare Provider as First Source of Health Information
| Data Years 2011–2012 (n = 937) | Data Years 2011–2014 (n = 1789) | |||||
|---|---|---|---|---|---|---|
| N | Weighted % | 95% CI | N | Weighted % | 95% CI | |
| Gender | ||||||
| Male | 385 | 43.16 | 38.56–47.88 | 742 | 45.42 | 41.98–48.91 |
| Female | 531 | 53.81 | 48.90–58.64 | 1014 | 51.95 | 48.36–55.53 |
| Missing | 21 | 3.03 | 1.26–7.13 | 42 | 2.63 | 1.48–4.63 |
| Age | ||||||
| 18–45 | 150 | 28.62 | 24.00–33.74 | 271 | 29.20 | 25.50–33.21 |
| 46–64 | 347 | 34.66 | 30.46–39.11 | 675 | 34.03 | 31.09–37.11 |
| 65–75 | 241 | 18.14 | 15.47–21.16 | 441 | 16.49 | 14.69–18.47 |
| 76–99 | 179 | 14.71 | 12.44–17.30 | 345 | 15.08 | 13.26–17.09 |
| Missing | 20 | 3.87 | 1.30–10.92 | 66 | 5.19 | 3.18–8.36 |
| Rurality | ||||||
| Yes | 21 | 2.32 | 1.37–3.91 | 39 | 2.34 | 1.47–3.69 |
| No | 916 | 97.68 | 96.09–98.63 | 1759 | 97.66 | 96.31–98.53 |
| Missing | – | – | – | – | – | – |
| Cancer history | ||||||
| Yes | 186 | 13.50 | 11.36–15.96 | 364 | 13.45 | 11.87–15.20 |
| No | 746 | 86.12 | 83.67–88.25 | 1413 | 84.98 | 83.01–86.75 |
| Missing | 5 | 0.39 | 0.14–1.05 | 21 | 1.58 | 0.78–3.15 |
| General health | ||||||
| Excellent | 71 | 8.71 | 6.00–12.46 | 131 | 8.52 | 6.62–10.90 |
| Very good | 302 | 31.08 | 26.58–35.96 | 578 | 32.06 | 28.84–35.46 |
| Good | 347 | 34.63 | 30.25–39.27 | 655 | 36.73 | 33.29–40.32 |
| Fair | 141 | 16.47 | 12.83–20.90 | 279 | 14.78 | 12.29–17.66 |
| Poor | 52 | 6.48 | 3.58–11.45 | 98 | 5.04 | 3.34–7.53 |
| Missing | 24 | 2.64 | 1.60–4.33 | 57 | 2.88 | 2.02–4.08 |
| Income | ||||||
| Less than $20,000 | 234 | 26.40 | 21.31–32.21 | 466 | 25.56 | 22.13–29.32 |
| $20,000 to $49,999 | 258 | 27.10 | 22.54–32.21 | 485 | 26.57 | 23.31–30.11 |
| $50 k or above | 311 | 34.14 | 29.91–38.65 | 577 | 34.25 | 31.15–37.49 |
| Missing | 134 | 12.35 | 9.31–16.21 | 270 | 13.63 | 11.46–16.13 |
| Race/Ethnicity | ||||||
| White, NH | 532 | 58.93 | 53.77–63.90 | 912 | 56.04 | 52.30–59.71 |
| Black, NH | 143 | 9.18 | 7.13–11.73 | 290 | 10.64 | 8.58–13.14 |
| Hispanic | 111 | 16.36 | 12.42–21.25 | 245 | 15.31 | 12.56–18.53 |
| Other, NH | 63 | 6.74 | 4.44–10.10 | 111 | 5.63 | 4.12–7.63 |
| Missing | 88 | 8.80 | 6.48–11.83 | 240 | 12.39 | 10.14–15.05 |
| Education | ||||||
| Less than high school | 118 | 23.11 | 17.99–29.16 | 239 | 20.42 | 17.14–24.15 |
| High school graduate | 240 | 23.01 | 19.23–27.27 | 431 | 21.77 | 19.07–24.73 |
| Some college | 292 | 31.83 | 27.26–36.79 | 570 | 31.00 | 27.57–34.65 |
| College or above | 266 | 20.39 | 17.46–23.66 | 494 | 23.23 | 20.61–26.08 |
| Missing | 21 | 1.67 | 0.97–2.86 | 64 | 3.57 | 2.52–5.04 |
| Health insurance | ||||||
| Yes | 855 | 86.04 | 80.79–90.02 | 1638 | 87.10 | 83.88–89.76 |
| No | 65 | 10.74 | 7.54–15.08 | 122 | 9.76 | 7.53–12.57 |
| Missing | 17 | 3.22 | 1.10–9.11 | 38 | 3.13 | 1.68–5.77 |
| Veteran status | ||||||
| Veteran | 139 | 11.45 | 9.04–14.39 | 264 | 11.52 | 9.68–13.67 |
| Non-veteran | 735 | 80.64 | 76.31–84.34 | 1391 | 80.30 | 77.24–83.03 |
| Missing | 63 | 7.91 | 5.27–11.72 | 143 | 8.18 | 6.24–10.64 |
| Internet use | ||||||
| Yes | 550 | 61.81 | 56.45–66.90 | 1042 | 61.36 | 57.74–64.85 |
| No | 386 | 38.17 | 33.07–43.53 | 744 | 37.97 | 34.54–41.52 |
| Missing | 1 | 0.03 | 0.00–0.19 | 12 | 0.67 | 0.24–1.91 |
| Access to Internet | ||||||
| Telephone line | 52 | 5.10 | 3.15–8.14 | 93 | 4.70 | 3.40–6.46 |
| Broadband | 359 | 37.47 | 32.29–42.96 | 645 | 38.52 | 34.84–42.34 |
| Cellular network | 166 | 22.29 | 17.49–27.95 | 370 | 25.37 | 21.81–29.29 |
| Wireless network | 274 | 31.30 | 26.59–36.43 | 565 | 35.61 | 31.90–39.49 |
| Missing | 12 | 5.12 | 1.58–15.31 | 27 | 3.77 | 1.62–8.50 |
| Data Year | ||||||
| 2011 | 436 | 42.15 | 37.45–47.01 | 436 | 21.91 | 19.36–24.68 |
| 2012 | 501 | 57.85 | 52.99–62.55 | 501 | 30.06 | 26.64–33.72 |
| 2013 | – | – | – | 408 | 23.11 | 20.15–26.35 |
| 2014 | – | – | – | 453 | 24.92 | 21.87–28.25 |
CI Confidence Interval, NH Non-Hispanic
Table 3.
Model of Seekers Choosing Doctor/Healthcare Provider First For 2011–2014
| Healthcare Provider N (weighted %) | Other Sources N (weighted %) | Unadjusted OR (95% CI), p-value | Adjusted OR (95% CI), p-value | |
|---|---|---|---|---|
| Gender | ||||
| Male | 742 (15.25) | 3005 (84.75) | – | – |
| Female | 1014 (14.98) | 5080 (85.02) | 0.98 (0.83–1.16), 0.803 | 0.85 (0.67–1.07), 0.156 |
| Age | ||||
| 18–45 | 271 (9.33) | 2766 (90.67) | – | – |
| 46–64 | 675 (15.28) | 3471 (84.72) | 1.75 (1.42–2.17), 0.000c | 1.62 (1.26–2.07), 0.000 c |
| 65–75 | 441 (25.50) | 1260 (74.50) | 3.33 (2.65–4.17), 0.000c | 2.15 (1.55–3.00), 0.000 c |
| 76–99 | 345 (38.87) | 525 (61.13) | 6.18 (4.81–7.94), 0.000c | 2.94 (2.08–4.17), 0.000 c |
| Rurality | ||||
| No | 1759 (15.17) | 8099 (84.83) | – | – |
| Yes | 39 (20.18) | 127 (79.82) | 1.41 (0.79–2.53), 0.243 | 1.31 (0.65–2.64), 0.440 |
| Cancer history | ||||
| No | 1413 (14.23) | 7104 (85.77) | – | – |
| Yes | 364 (24.64) | 1076 (75.36) | 1.97 (1.66–2.34), 0.000c | 1.19 (0.94–1.51), 0.149 |
| General health | ||||
| Excellent | 131 (10.74) | 1006 (89.26) | – | – |
| Very good | 578 (13.07) | 3031 (86.93) | 1.25 (0.90–1.73), 0.177 | 1.04 (0.71–1.52), 0.851 |
| Good | 655 (15.76) | 2912 (84.24) | 1.56 (1.13–2.14), 0.007b | 0.95 (0.65–1.39), 0.794 |
| Fair | 279 (20.65) | 932 (79.35) | 2.16 (1.50–3.13), 0.000c | 0.96 (0.59–1.54), 0.854 |
| Poor | 98 (35.98) | 184 (64.02) | 4.67 (2.55–8.55), 0.000c | 2.22 (0.77–6.43), 0.141 |
| Income | ||||
| Less than $20,000 | 466 (23.06) | 1305 (76.94) | – | – |
| $20,000 to $49,999 | 485 (16.21) | 2122 (83.79) | 0.65 (0.50–0.84), 0.001b | 0.87 (0.62–1.22), 0.427 |
| $50 k or above | 577 (10.68) | 4019 (89.32) | 0.40 (0.32–0.50), 0.000c | 0.72 (0.51–1.02), 0.062 |
| Race/Ethnicity | ||||
| White, NH | 912 (13.02) | 5112 (86.98) | – | – |
| Black, NH | 290 (17.14) | 1066 (82.86) | 1.38 (1.03–1.85), 0.029a | 1.46 (1.01–2.11), 0.043a |
| Hispanic | 245 (19.97) | 946 (80.03) | 1.67 (1.28–2.18), 0.000c | 1.26 (0.90–1.75), 0.178 |
| Other, NH | 111 (13.49) | 519 (86.51) | 1.04 (0.71–1.52), 0.833 | 1.24 (0.76–2.02), 0.380 |
| Education | ||||
| Less than high school | 239 (35.60) | 409 (64.40) | – | – |
| High school graduate | 431 (18.73) | 1289 (81.27) | 0.42 (0.30–0.57), 0.000c | 0.68 (0.42–1.11), 0.123 |
| Some college | 570 (13.85) | 2465 (86.15) | 0.29 (0.22–0.39), 0.000c | 0.67 (0.41–1.10), 0.115 |
| College or above | 494 (9.48) | 3895 (90.52) | 0.19 (0.14–0.25), 0.000c | 0.50 (0.29–0.865, 0.011a |
| Health insurance | ||||
| No | 122 (10.39) | 945 (89.61) | – | – |
| Yes | 1638 (15.76) | 7179 (84.24) | 1.61 (1.17–2.21), 0.003b | 1.97 (1.28–3.04), 0.002b |
| Veteran status | ||||
| Non-veteran | 1391 (14.03) | 7079 (85.97) | – | – |
| Veteran | 264 (19.05) | 866 (80.95) | 1.44 (1.15–1.82), 0.002 b | 1.05 (0.77–1.44), 0.742 |
| Internet use | ||||
| No | 744 (43.71) | 974 (56.29) | – | – |
| Yes | 1042 (10.83) | 7214 (89.17) | 0.16 (0.13–0.19), 0.000c | 0.34 (0.25–0.46), 0.000c |
| Data Year | ||||
| 2011 | 436 (13.62) | 2263 (86.38) | – | – |
| 2012 | 501 (17.58) | 2107 (82.42) | 1.35 (1.08–1.70), 0.010a | 1.22 (0.92–1.62), 0.157 |
| 2013 | 408 (14.84) | 1738 (85.16) | 1.11 (0.88–1.38), 0.383 | 0.95 (0.69–1.31), 0.737 |
| 2014 | 453 (14.86) | 2118 (85.14) | 1.11 (0.89–1.38), 0.368 | 1.14 (0.86–1.52), 0.358 |
a= significant at the 0.05 level; b = significant at the 0.01 level, c = significant at the 0.001 level
OR Odds Ratio, CI Confidence Interval, NH Non-Hispanic
Results
Our analysis describing the first source of health information showed that the majority of survey respondents continue to report using the Internet as a first source of health information (n = 6353, 68.72%) followed by doctor/healthcare provider (n = 1798, 15.26), publications (n = 1138, 8.89%), and family/friends/co-workers (n = 444, 4.97%).
The respondents who more frequently selected doctor/healthcare provider as a first source the most recent time they looked for health information were female (n = 1014, 51.95%), ages 46–64 (n = 675, 34.03%), non-rural (n = 1795, 97.66%), had an income of $50,000 or above (n = 577, 34.25%), non-Hispanic white (n = 912, 56.04%), had some college education (n = 570, 31.00%), and were non-veterans (n = 1391, 80.30%). These respondents also had no history of cancer (n = 1413, 84.98%), reported very good (n = 578, 32.06) or good health (n = 655, 36.73), and had health insurance (n = 1638, 87.10%). These respondents used the Internet (n = 1042, 61.36%) and accessed the internet through broadband (n = 645, 38.52%) or wireless networks (n = 565, 35.61%). (n = 1042, 61.36%).
An adjusted logistic regression showed significant differences in the likelihood of a respondent reporting doctors as first sources of health information on the basis of age, race, education, health insurance, and Internet use. Individuals who chose doctor/healthcare provider as a first source were more likely to be aged 46–64 [OR = 1.62, p = 0.000], 65–75 [OR = 2.15, p = 0.000], or 76–99 [OR = 2.94, p = 0.000] than to be in the 18–45 year age group. Those who chose a doctor as the first source of health information were more likely to be non-Hispanic black [OR = 1.46, p = 0.043], more likely to have health insurance [OR = 1.97, p = 0.002], less likely to have college education or more [OR = 0.50, p = 0.011], and less likely to use the Internet [OR = 0.34, p = 0.000]. Significant differences in the unadjusted logistic regression models for cancer history, general health, income, race (Hispanic), education (high school and some college), veteran status, and data year were attenuated when the logistic regression model was adjusted, similar to the prior analysis.
Discussion
Adults of all age groups older than 18–45 had higher odds of listing their doctor as their first source of health information, and these odds increased with successive age groups. This finding contrasts with prior research in which the OR for the age group 46–64 was not significant [13]. Trust may play a role, as prior research revealed that older adults are less likely to trust information from the Internet, television, magazines, and newspapers than young adults, while trusting doctors the most of any source [18]. Young adults may be less likely to go to physicians as a source of health information as this age group is historically less likely to use primary care services or have insurance coverage [19], although the uninsured rate has decreased since open enrollment for the Affordable Care Act began [20]. Young adults are also more likely to be Internet users, and use the Internet as an initial source of health information [21].
In our updated analyses but not in the original research [13], respondents who were black had higher odds of noting that a doctor was their first source of health information. This finding is in contrast with the results of prior research reporting that black patients do not trust doctors as much as white patients [22]. Since the Affordable Care Act was implemented, there has been a significant reduction in racial disparities in health care access, utilization, and rates of being uninsured [23]. This reduction in access disparities may have played a role in the increase in black patients choosing doctors as a first source of medical information, as they were more readily able to see doctors. The attitudes of black patients toward doctors may be improved by this increased access to health care and communication with doctors [24].
Our results also show that respondents with more education had lower odds of using their doctor as a first source of health information, even though prior research demonstrates that college-educated adults are more likely to have a usual place of health care [25]. Prior research has shown that those with higher levels of education were more trusting of the Internet, magazines, and newspapers as sources of health information than those with lower levels [18]. These respondents may choose the internet first, similar to research corroborating that those with higher education levels more frequently seek health information on the Internet [26]. In our analyses, those who use the Internet have lower odds of seeking a doctor as the first source of health information. Using the Internet for information may lead to self-diagnosis, encouraging misdiagnosis and inappropriate medical advice [27]. HINTS does not ask questions regarding the specific internet sources used and trusted; future research could elaborate on the legitimacy of trusted internet health information sources.
In the original analysis [13], people who rated their general health as good had lower odds of choosing a doctor and those who rated their health as poor had higher odds of choosing a doctor as their first health information source than those with excellent health, however, the impact of health status on choice of health information source was no longer significant with the addition of 2 years of data. This could be due to an increase in those with poor health using the internet or other sources or people with good health seeking information from doctors more. Healthy people may be seeking information from doctors first more than in previous years due to increased access to care as the uninsured rate has decreased [20]. Other prior research provides evidence that people with poor health are more likely to seek health information on the Internet than those with good health, and the internet may be displacing doctors as a primary source in this group [28]. People with poor health may have chronic conditions that require more health information or more frequent information than regular patients, and may use multiple information sources [29]. Doctors can assist these patients by helping verify information and guiding them on where to find credible sources [30].
This analysis was strengthened by the addition of an extra 2 years of data, doubling the sample size and allowing for analysis of changes in significance. However, a limitation that persists is the cross-sectional nature of the data because within-person trends over time cannot be assessed. A second limitation is the fact that these are self-reported data, as people may not accurately recall whether they used certain information sources. HINTS only surveys U.S. households, so these findings may not be generalizable to populations outside the United States; there may be differences in trust and use of internet health sources in other countries. Further, the specific publications or Internet sources of health information were not assessed, so the credibility of the sources remains unknown. Finally, we did not know whether the doctors mentioned were primary care or specialty doctors, and this information may add depth to the analysis. Future research could elaborate on both the use and trust of more specific sources of information.
Conclusion
Doctors are the most trusted sources of health information yet the results of a recent survey of health information sources show that 69% of adults in the U.S. reportedly chose the Internet and 15% chose healthcare providers as their first source of health information when they had a medical problem. Those more likely to choose doctors as an initial source of health information were older than age 45, more likely to have health insurance, more likely to be black, less likely to be college educated, and less likely to use the Internet. Doctors may need to provide more information to these patients than those who use the Internet, however, they may need to spend more time verifying the accuracy of information provided to those who choose the Internet first.
Acknowledgements
This is the result of work supported by the Department of Family Medicine at The Ohio State University. We would like to acknowledge Bradford Hesse of the National Cancer Institute and thank him for his review of this work.
Availability of data and materials
The datasets analyzed during the current study are available in the HINTS repository at https://hints.cancer.gov.
Abbreviations
- HINTS
Health Information National Trends Survey
- HMO
Health maintenance organization
- NCI
National cancer institute
- OR
Odds ratio
- US
United States
- VA
Veteran’s affairs
Authors’ contributions
CMS analyzed and reviewed the results, drafted, and finalized the manuscript. JVH analyzed the results and participated in the draft of the manuscript. ASM contributed to the draft of the manuscript, edited and revised the manuscript, and assisted with interpretation of study analyses. TRH contributed to the conception and design of the analyses and contributed to the draft and revisions of the manuscript. All authors have read and approved the final manuscript and agree to be accountable for all aspects of the work.
Ethics approval and consent to participate
Not applicable. We did not collect data, but are reporting previously collected national cross-sectional data.
Consent for publication
Not applicable. Individual patient data not reported.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
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Contributor Information
Christine M. Swoboda, Email: Christine.Swoboda@osumc.edu
Joseph M. Van Hulle, Email: Joseph.Vanhulle@osumc.edu
Ann Scheck McAlearney, Email: Ann.McAlearney@osumc.edu.
Timothy R. Huerta, Email: Tim.Huerta@osumc.edu
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets analyzed during the current study are available in the HINTS repository at https://hints.cancer.gov.