Review
Health Care Sciences & Services
Yuxiang Chris Zhao, Mengyuan Zhao, Shijie Song
Summary: This systematic scoping review aims to understand older adults' online health information seeking behavior, indicating that older adults seek 10 types of health information from internet sources and encounter individual, social, and technological barriers in their OHIS. The study also suggests the need for more research to better support older adults in making informed health decisions online, proposing various objectives for future studies.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Review
Health Care Sciences & Services
Hanna Choi, Gyeonghui Jeong
Summary: This paper reviews 13 survey tools from 8 countries worldwide to explore the characteristics of measurement tools for assessing health information-seeking behaviors in nationally representative surveys. The survey tools mainly focus on domains such as information, channel, and health, encompassing behavioral and attitude dimensions.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
Liyun Liu
Summary: This study examined the health information seeking behavior of urban patients in China and identified predictors of source preference, online information seeking, and the timing of online seeking. The findings revealed that patients with higher education levels, higher income levels, young age, active internet use, and living in high-income cities were more likely to actively seek medical information online. However, most sociodemographic characteristics were not significantly associated with the timing of online seeking.
Article
Health Care Sciences & Services
Xiaoyun Jia, Yan Pang, Liangni Sally Liu
Summary: This paper systematically reviews online health information seeking behavior, identifies general behavioral patterns, influencing factors, facilitators, and barriers to this behavior.
Article
Health Care Sciences & Services
Pauline Ducrot, Ilaria Montagni, Viet Nguyen Thanh, Anne-Juliette Serry, Jean-Baptiste Richard
Summary: The study revealed the changes in the evolution of internet as a source of health information and the characteristics, sources, and trustworthiness of online health information seekers from 2010 to 2017. The use of the internet for health information seeking continuously increased during this period but showed a decrease in 2017, along with a decline in trust in the quality and reliability of online information.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Review
Health Care Sciences & Services
Reem El Sherif, Pierre Pluye, Fidelia Ibekwe
Summary: This study aims to explore and revise the background, objectives, and outcomes of proxy online health information (OHI) seeking. The study found that the characteristics of proxy seekers, the context of proxy OHI seeking, the use of OHI to provide social support, and the outcomes of proxy OHI seeking are the main themes. By better understanding how people use information together, information providers can meet the needs of all users.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Health Care Sciences & Services
Kimberly Arellano Carmona, Deepti Chittamuru, Richard L. Kravitz, Steven Ramondt, A. Susana Ramirez
Summary: This study surveyed users of a web-based AI-powered symptom checker to understand their usage patterns and effects. The results demonstrate that users generally have high confidence in the tool, find it useful and easy to understand, and feel less anxious and more empowered to seek medical help. There were differences in perceptions and intentions among users of different races and genders.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Review
Medicine, General & Internal
Ben Gordon, Clara Fennessy, Susheel Varma, Jake Barrett, Enez McCondochie, Trevor Heritage, Oenone Duroe, Richard Jeffery, Vishnu Rajamani, Kieran Earlam, Victor Banda, Neil Sebire
Summary: This study objectively evaluated freely available data profiling software tools for their applicability in healthcare data. Several tools showed high potential and functionality for use with healthcare datasets. In a synthetic dataset of 1000 patients, two tools consistently performed well across multiple tasks including completeness, consistency, uniqueness, validity, accuracy, and distribution metrics.
Article
Medicine, General & Internal
Youngji Jo, Amnesty Elizabeth LeFevre, Hasmot Ali, Sucheta Mehra, Kelsey Alland, Saijuddin Shaikh, Rezwanul Haque, Esther Semee Pak, Mridul Chowdhury, Alain B. Labrique
Summary: This study found that mobile phone-based pregnancy surveillance systems with individually scheduled text messages and home-visit reminder strategies are highly cost-effective in Bangladesh. The cost-effectiveness may improve further with scale and sustainability.
Article
Health Care Sciences & Services
Zihui Xiong, Liang Zhang, Zhong Li, Wanchun Xu, Yan Zhang, Ting Ye
Summary: This study explored sociodemographic differences in online health information seeking among the general Chinese population in mainland China. Findings showed that frequent seekers were more likely to be female, older, better educated, have higher income, commercial health insurance, and reported illness in the past 12 months. The most searched health information type was health science popularization.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
Anna Freytag, Eva Baumann, Matthias Angermeyer, Georg Schomerus
Summary: In a face-to-face survey in Germany, factors related to mental health information-seeking were investigated. The study found that individuals' proximity to mental health issues, education level, and desire for social distance from affected people play an important role in information-seeking. Differences in sociodemographic and proximity factors were observed between self-seekers and surrogate-seekers.
Article
Public, Environmental & Occupational Health
Dangui Zhang, Weixin Zhan, Chunwen Zheng, Jinsheng Zhang, Anqi Huang, Shuan Hu, William Ba-Thein
Summary: This study reveals that college students in Guangdong, China heavily rely on online health information but lack the ability to identify misinformation and disinformation. Many students would recommend the retrieved information to others, and a significant portion have experienced hacking or internet fraud. Increased efforts are needed to provide regulated, accurate health information and promote health literacy among college students.
Article
Psychology, Multidisciplinary
Athina Ioannou
Summary: Information technology has both positive and negative impacts, with technostress being one of the negative consequences. Mindfulness has been identified as a potential solution to reduce technostress, but empirical evidence is limited. This study investigates the experiences of mindful individuals to understand how mindfulness alleviates technostress in the workplace. The findings offer insights into the strategies employed by more mindful employees and their perceptions during technostress experiences, shedding light on the relationship between mindfulness and technostress.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Psychiatry
Seyed Mohammad Hossein Mahmoodi, Masoud Ahmadzad-Asl, Mohammad Eslami, Mohadeseh Abdi, Yasamin Hosseini Kahnamoui, Maryam Rasoulian
Summary: This study investigated the mental health literacy and information-seeking behavior among undergraduate students in Iran. The results showed that the mental health literacy of Iranian students is still insufficient. There was no correlation between disease-oriented mental health literacy and positive mental health literacy. Additionally, although the internet is the main source of mental health knowledge for students, their trust in it is low.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Public, Environmental & Occupational Health
Qianfeng Lu, Angela Chang, Guoming Yu, Ya Yang, Peter J. Schulz
Summary: Social capital has significant and complex relationships with health information-seeking behavior (HISB) in China. Structural social capital generally encourages HISB, especially the aspects of bridging networks and organization memberships. However, emotional support as cognitive social capital negatively affects people's initiatives in seeking health-related information.
Article
Public, Environmental & Occupational Health
Rizwana Biviji, Joshua R. Vest, Brian E. Dixon, Theresa Cullen, Christopher A. Harle
Summary: Popular maternal and infant health apps often lack a comprehensive incorporation of behavior change techniques, despite their potential as useful tools in promoting healthy behaviors. Apps developed by healthcare experts tend to include a higher number of such techniques, suggesting a need for increased expert involvement in app design and content delivery.
TRANSLATIONAL BEHAVIORAL MEDICINE
(2021)
Article
Medical Informatics
Suranga N. Kasthurirathne, Shaun Grannis, Paul K. Halverson, Justin Morea, Nir Menachemi, Joshua R. Vest
JMIR MEDICAL INFORMATICS
(2020)
Article
Computer Science, Information Systems
Saurabh Rahurkar, Joshua R. Vest, John T. Finnell, Brian E. Dixon
Summary: This study measured the use of HIE in real-world clinical settings over a 7-year period from 2011 to 2017 using access log files. The research found an increase in HIE usage in inpatient, outpatient, and emergency department settings, with the most significant change observed in the inpatient setting.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Editorial Material
Public, Environmental & Occupational Health
Joshua R. Vest, Justin Blackburn, Valerie A. Yeager
PUBLIC HEALTH REPORTS
(2021)
Article
Computer Science, Information Systems
Nate C. Apathy, Joshua R. Vest, Julia Adler-Milstein, Justin Blackburn, Brian E. Dixon, Christopher A. Harle
Summary: The study assessed factors associated with provider health information exchange (HIE) use and found that usage during referrals is low among office-based providers, especially primary care providers. Practice-level factors were more commonly associated with higher levels of HIE use, while market-level factors were unrelated.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Health Care Sciences & Services
J. R. Vest, S. N. Kasthurirathne, W. Ge, J. Gutta, O. Ben-Assuli, P. K. Halverson
Summary: This study compared the performance of six different area-level SDoH measurement approaches in predicting patient referral to a social worker and hospital admission after a primary care visit. It found that adding area-level features to patient-level data improved model performance, with individual area-level measures resulting in the highest performance. Researchers may be able to simplify measurement approaches when including area-level SDoH measures in risk prediction.
INFORMATICS FOR HEALTH & SOCIAL CARE
(2022)
Article
Health Care Sciences & Services
Rizwana Biviji, Karmen S. Williams, Joshua R. Vest, Brian E. Dixon, Theresa Cullen, Christopher A. Harle
Summary: Users prioritize apps that are low cost or free, with high-quality content, superior features, and user-friendly interfaces. User engagement and satisfaction are also influenced by app developer responsiveness and the opportunity for user involvement in the app development process.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Health Care Sciences & Services
Joshua R. Vest, Wei Wu, Eneida A. Mendonca
Summary: A study comparing estimates of social risk factors obtained via screening questions and ICD-10 Z diagnoses coding found that neither method performed particularly well in terms of accuracy. The measures were found to be much more specific than sensitive, indicating a need for improving the usefulness of these data through information technology or novel approaches combining data sources.
JOURNAL OF MEDICAL SYSTEMS
(2021)
Article
Health Care Sciences & Services
Katie S. Allen, Dan R. Hood, Jonathan Cummins, Suranga Kasturi, Eneida A. Mendonca, Joshua R. Vest
Summary: Social factors, such as housing, financial status, and employment, have a significant impact on individuals' overall health and well-being. This study uses natural language processing to identify these social factors from clinical notes and demonstrates strong performance in doing so, enabling stakeholders to support improved clinical care.
Article
Computer Science, Information Systems
Tanja Magoc, Katie S. Allen, Cara McDonnell, Jean-Paul Russo, Jonathan Cummins, Joshua R. Vest, Christopher A. Harle
Summary: The study aims to validate the portability and generalizability of a Natural Language Processing (NLP) method in extracting individual social factors from clinical notes. A rule-based NLP model was developed and applied to notes from different institutions, with adjustments made for the new site. The NLP model showed excellent performance, indicating strong portability and generalizability.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Health Care Sciences & Services
Olena Mazurenko, Emma McCord, Cara McDonnell, Nate C. Apathy, Lindsey Sanner, Meredith C. B. Adams, Burke W. Mamlin, Joshua R. Vest, Robert W. Hurley, Christopher A. Harle
Summary: This study evaluated the experiences of primary care providers using a clinical decision support tool called OneSheet for chronic pain management. The tool contained relevant information and was well-located in the electronic health record. Providers used OneSheet for specific patient subgroups, but its utilization varied based on their workflow preferences and patient population.
Review
Criminology & Penology
Joshua R. Vest, Rachel J. Hinrichs, Heidi Hosler
Summary: Legal problems are common in healthcare settings, but there are variations in measurement and definitions, which could create challenges for organizations seeking to address these issues.
Article
Health Care Sciences & Services
Joshua R. Vest, Olena Mazurenko
Summary: This study aimed to assess differences between respondents and those refusing participation in a social factor screening. The study found that subjects with prior documentation of financial insecurity were less likely to respond to the screening questionnaire. This study contributes to the literature by confirming the existence of selection bias in social factor screening practices and research studies.
JOURNAL OF MEDICAL SYSTEMS
(2023)
Article
Health Care Sciences & Services
Nate C. Apathy, Lindsey Sanner, Meredith C. B. Adams, Burke W. Mamlin, Randall W. Grout, Saura Fortin, Jennifer Hillstrom, Amit Saha, Evgenia Teal, Joshua R. Vest, Nir Menachemi, Robert W. Hurley, Christopher A. Harle, Olena Mazurenko
Summary: Primary care providers can benefit from clinical decision support tools that aggregate and synthesize problem-specific patient information. This article describes the design and functionality of a CDS tool for chronic noncancer pain in primary care, and reports on its real-world usage in a retrospective analysis. The study found considerable variation in provider-level usage of the tool, and modest overall use relative to the number of eligible patients seen with chronic pain.
Article
Health Care Sciences & Services
Kevin K. Wiley, Katy Ellis Hilts, Jessica S. Ancker, Mark A. Unruh, Hye-Young Jung, Joshua R. Vest