scholarly journals Health Information Obtained From the Internet and Changes in Medical Decision Making: Questionnaire Development and Cross-Sectional Survey

2017 ◽  
Author(s):  
Yen-Yuan Chen ◽  
Chia-Ming Li ◽  
Jyh-Chong Liang ◽  
Chin-Chung Tsai
Keyword(s):  
Decision Making ◽  
Health Information ◽  
Medical Decision Making ◽  
Questionnaire Development ◽  
Medical Decision ◽  
The Internet ◽  
Cross Sectional Survey ◽  
Cross Sectional

scholarly journals Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Aisha Langford ◽  
Kerli Orellana ◽  
Jolaade Kalinowski ◽  
Carolyn Aird ◽  
Nancy Buderer
Keyword(s):  
Decision Making ◽  
Health Information ◽  
Medical Decision Making ◽  
Electronic Devices ◽  
Sociodemographic Factors ◽  
Medical Decision ◽  
Health And Wellness ◽  
Medical Decisions ◽  
Cross Sectional ◽  
Lower Odds

BACKGROUND Tablet and smartphone ownership have increased among US adults over the past decade. However, the degree to which people use mobile devices to help them make medical decisions remains unclear. OBJECTIVE The objective of this study is to explore factors associated with self-reported use of tablets or smartphones to support medical decision making in a nationally representative sample of US adults. METHODS Cross-sectional data from participants in the 2018 Health Information National Trends Survey (HINTS 5, Cycle 2) were evaluated. There were 3504 responses in the full HINTS 5 Cycle 2 data set; 2321 remained after eliminating respondents who did not have complete data for all the variables of interest. The primary outcome was use of a tablet or smartphone to help make a decision about how to treat an illness or condition. Sociodemographic factors including gender, race/ethnicity, and education were evaluated. Additionally, mobile health (mHealth)- and electronic health (eHealth)-related factors were evaluated including (1) the presence of health and wellness apps on a tablet or smartphone, (2) use of electronic devices other than tablets and smartphones to monitor health (eg, Fitbit, blood glucose monitor, and blood pressure monitor), and (3) whether people shared health information from an electronic monitoring device or smartphone with a health professional within the last 12 months. Descriptive and inferential statistics were conducted using SAS version 9.4. Weighted population estimates and standard errors, univariate odds ratios, and 95% CIs were calculated, comparing respondents who used tablets or smartphones to help make medical decisions (n=944) with those who did not (n=1377), separately for each factor. Factors of interest with a <i>P</i> value of &lt;.10 were included in a subsequent multivariable logistic regression model. RESULTS Compared with women, men had lower odds of reporting that a tablet or smartphone helped them make a medical decision. Respondents aged 75 and older also had lower odds of using a tablet or smartphone compared with younger respondents aged 18-34. By contrast, those who had health and wellness apps on tablets or smartphones, used other electronic devices to monitor health, and shared information from devices or smartphones with health care professionals had higher odds of reporting that tablets or smartphones helped them make a medical decision, compared with those who did not. CONCLUSIONS A limitation of this research is that information was not available regarding the specific health condition for which a tablet or smartphone helped people make a decision or the type of decision made (eg, surgery, medication changes). In US adults, mHealth and eHealth use, and also certain sociodemographic factors are associated with using tablets or smartphones to support medical decision making. Findings from this study may inform future mHealth and other digital health interventions designed to support medical decision making.

scholarly journals Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study

10.2196/19531 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e19531 ◽  
Author(s):  
Aisha Langford ◽  
Kerli Orellana ◽  
Jolaade Kalinowski ◽  
Carolyn Aird ◽  
Nancy Buderer
Keyword(s):  
Decision Making ◽  
Health Information ◽  
Medical Decision Making ◽  
Electronic Devices ◽  
Sociodemographic Factors ◽  
Medical Decision ◽  
Health And Wellness ◽  
Medical Decisions ◽  
Cross Sectional ◽  
Lower Odds

Background Tablet and smartphone ownership have increased among US adults over the past decade. However, the degree to which people use mobile devices to help them make medical decisions remains unclear. Objective The objective of this study is to explore factors associated with self-reported use of tablets or smartphones to support medical decision making in a nationally representative sample of US adults. Methods Cross-sectional data from participants in the 2018 Health Information National Trends Survey (HINTS 5, Cycle 2) were evaluated. There were 3504 responses in the full HINTS 5 Cycle 2 data set; 2321 remained after eliminating respondents who did not have complete data for all the variables of interest. The primary outcome was use of a tablet or smartphone to help make a decision about how to treat an illness or condition. Sociodemographic factors including gender, race/ethnicity, and education were evaluated. Additionally, mobile health (mHealth)- and electronic health (eHealth)-related factors were evaluated including (1) the presence of health and wellness apps on a tablet or smartphone, (2) use of electronic devices other than tablets and smartphones to monitor health (eg, Fitbit, blood glucose monitor, and blood pressure monitor), and (3) whether people shared health information from an electronic monitoring device or smartphone with a health professional within the last 12 months. Descriptive and inferential statistics were conducted using SAS version 9.4. Weighted population estimates and standard errors, univariate odds ratios, and 95% CIs were calculated, comparing respondents who used tablets or smartphones to help make medical decisions (n=944) with those who did not (n=1377), separately for each factor. Factors of interest with a P value of <.10 were included in a subsequent multivariable logistic regression model. Results Compared with women, men had lower odds of reporting that a tablet or smartphone helped them make a medical decision. Respondents aged 75 and older also had lower odds of using a tablet or smartphone compared with younger respondents aged 18-34. By contrast, those who had health and wellness apps on tablets or smartphones, used other electronic devices to monitor health, and shared information from devices or smartphones with health care professionals had higher odds of reporting that tablets or smartphones helped them make a medical decision, compared with those who did not. Conclusions A limitation of this research is that information was not available regarding the specific health condition for which a tablet or smartphone helped people make a decision or the type of decision made (eg, surgery, medication changes). In US adults, mHealth and eHealth use, and also certain sociodemographic factors are associated with using tablets or smartphones to support medical decision making. Findings from this study may inform future mHealth and other digital health interventions designed to support medical decision making.

scholarly journals Health Information Obtained From the Internet and Changes in Medical Decision Making: Questionnaire Development and Cross-Sectional Survey (Preprint)

2017 ◽  
Author(s):  
Yen-Yuan Chen ◽  
Chia-Ming Li ◽  
Jyh-Chong Liang ◽  
Chin-Chung Tsai
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Health Information ◽  
Health Care Professionals ◽  
Medical Decision Making ◽  
Pearson Correlation ◽  
Medical Decision ◽  
The Internet ◽  
Online Health Information ◽  
Information Utilization

BACKGROUND The increasing utilization of the internet has provided a better opportunity for people to search online for health information, which was not easily available to them in the past. Studies reported that searching on the internet for health information may potentially influence an individual’s decision making to change her health-seeking behaviors. OBJECTIVE The objectives of this study were to (1) develop and validate 2 questionnaires to estimate the strategies of problem-solving in medicine and utilization of online health information, (2) determine the association between searching online for health information and utilization of online health information, and (3) determine the association between online medical help-seeking and utilization of online health information. METHODS The Problem Solving in Medicine and Online Health Information Utilization questionnaires were developed and implemented in this study. We conducted confirmatory factor analysis to examine the structure of the factor loadings and intercorrelations for all the items and dimensions. We employed Pearson correlation coefficients for examining the correlations between each dimension of the Problem Solving in Medicine questionnaire and each dimension of the Online Health Information Utilization questionnaire. Furthermore, we conducted structure equation modeling for examining the possible linkage between each of the 6 dimensions of the Problem Solving in Medicine questionnaire and each of the 3 dimensions of the Online Health Information Utilization questionnaire. RESULTS A total of 457 patients participated in this study. Pearson correlation coefficients ranged from .12 to .41, all with statistical significance, implying that each dimension of the Problem Solving in Medicine questionnaire was significantly associated with each dimension of the Online Health Information Utilization questionnaire. Patients with the strategy of online health information search for solving medical problems positively predicted changes in medical decision making (P=.01), consulting with others (P<.001), and promoting self-efficacy on deliberating the online health information (P<.001) based on the online health information they obtained. CONCLUSIONS Present health care professionals have a responsibility to acknowledge that patients’ medical decision making may be changed based on additional online health information. Health care professionals should assist patients’ medical decision making by initiating as much dialogue with patients as possible, providing credible and convincing health information to patients, and guiding patients where to look for accurate, comprehensive, and understandable online health information. By doing so, patients will avoid becoming overwhelmed with extraneous and often conflicting health information. Educational interventions to promote health information seekers’ ability to identify, locate, obtain, read, understand, evaluate, and effectively use online health information are highly encouraged.

Health Information Literacy Influences Access to Network Knowledge for Patients with Permanent Cystostomy

2019 ◽  
Vol 9 (2) ◽  
pp. 360-365
Author(s):  
Wenjuan Xu ◽  
Qingquan Bi ◽  
Qi Wei ◽  
Lili Wu ◽  
Zhuxin Wang ◽  
...  
Keyword(s):  
Knowledge Acquisition ◽  
Health Information ◽  
Information Literacy ◽  
Treatment Plan ◽  
General Information ◽  
Medical Decision ◽  
Online Information ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Difference

Objective: The patients with permanent cystostomy have demand of relevant health information from network. The level of health information literacy refers the ability of acquiring and using health information. The aim of this study was to investigate the level of health information literacy in patients with permanent cystostomy, and to explore its influence on network knowledge acquisition ability. Methods: A cross-sectional survey of 200 patients with permanent cystostomy was conducted, using the general information questionnaire, the health information literacy self-rating questionnaire, and the network knowledge acquisition questionnaire. Results: Patients with permanent cystostomy who had health information literacy accounted for 33.5%, of which the having rate of health information application was the lowest (6.7%). The having rate of health information literacy for patients living in cities, educational level in high school, and duration of disease more than 5 years was higher than other patients (both P < 0.05). The professional medical websites was the main search source for patients with health information literacy, and the health contents mainly included treatment plan, postoperative complications and drug use, of which 62.7% of the patients took the attitude of questioning the network information again. Patients without health information literacy mainly searched for profit-making commercial websites, and the main health contents included dietary guidance, exercise training, and medical hospitals, 30.1% of which took a doubt attitude toward online information. The difference in trust attitude toward network knowledge between the two groups was statistically significant (P < 0.01). Conclusion: The level of health information literacy of patients with permanent cystostomy is low. The individualized training and guidance should be carried out so as to improve the ability of acquiring knowledge on the internet and improve the execution of medical decision.

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