ArticleAmerican journal of preventive medicine2007
eHealth research from the user's perspective.
Article in American journal of preventive medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.
- Evaluation Methods for Assessing Users' Psychological Experiences of Web-Based Psychosocial Interventions: A Systematic Review.Journal of medical Internet research · 2016Pooled it
- Effects of the Proactive Interdisciplinary Self-Management (PRISMA) Program on Online Care Platform Usage in Patients with Type 2 Diabetes in Primary Care: A Randomized Controlled Trial.Journal of diabetes research · 2020Trial
- Development and First Phase Evaluation of a Maternity Leave Educational Tool for Pregnant, Working Women in California.PloS one · 2015Trial
- Evaluation of satisfaction and use of electronic intervention for behavior change.Computers, informatics, nursing : CIN · 2011Trial
- Tables or bar graphs? Presenting test results in electronic medical records.Medical decision making : an international journal of the Society for Medical Decision MakingTrial
- Predictive health index: integrating body composition and heart rate variability metrics with artificial intelligence to predict chronic disease risk and specific chronic non-communicable diseases.Hormones (Athens, Greece) · 2026Article
- Visualizing the Maternal Health Journey for Learning Health Systems: Mixed Methods Combined Experience Approach.Journal of participatory medicine · 2026Article
- Differences in usage and engagement rates of an online physical activity intervention among subgroups of adults aged 50 years and older in a practical setting.BMC public health · 2025Article
- [Recruitment strategies for reaching adults aged fifty years and older with low socioeconomic status for participation in online physical activity interventions].TSG : tijdschrift voor gezondheidswetenschappen · 2025Article
- Recruitment strategies for reaching adults aged 50 years and older with low socioeconomic status for participation in online physical activity interventions.Frontiers in digital health · 2024Article
- Adding Mobile Elements to Online Physical Activity Interventions for Adults Aged Over 50 Years: Prototype Development Study.JMIR formative research · 2023Article
- Adding Mobile Elements to Online Physical Activity Interventions Targeted at Adults Aged 50 Years and Older: Protocol for a Systematic Design.JMIR research protocols · 2022Article
- Usability of eHealth and Mobile Health Interventions by Young People Living With Juvenile Idiopathic Arthritis: Systematic Review.JMIR pediatrics and parenting · 2020Review
- Riding the Wave of Digital Transformation in Behavioral Medicine.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020Review
- Identifying Persuasive Design Principles and Behavior Change Techniques Supporting End User Values and Needs in eHealth Interventions for Long-Term Weight Loss Maintenance: Qualitative Study.Journal of medical Internet research · 2020Article
- Information Technology-Assisted Screening for Gonorrhea and Chlamydia in a Pediatric Emergency Department.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020Article
- The increasing value of eHealth in the delivery of patient-centred cancer care.The Lancet. Oncology · 2020Review
- Role of the Internet in Solving the Last Mile Problem in Medicine.Journal of medical Internet research · 2019Article
- Development and validation of a patient decision aid for prostate Cancer therapy: from paternalistic towards participative shared decision making.BMC medical informatics and decision making · 2019Article
- An Electronic Health Record-Based Strategy to Address Child Tobacco Smoke Exposure.American journal of preventive medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The application of information technology (IT) to issues of healthcare delivery has had a long and tortuous history in the United States. Within the field of eHealth, vanguard applications of advanced computing techniques, such as applications in artificial intelligence or expert systems, have languished in spite of a track record of scholarly publication and decisional accuracy. The problem is one of purpose, of asking the right questions for the science to solve. Historically, many computer science pioneers have been tempted to ask "what can the computer do?" New advances in eHealth are prompting developers to ask "what can people do?" How can eHealth take part in national goals for healthcare reform to empower relationships between healthcare professionals and patients, healthcare teams and families, and hospitals and communities to improve health equitably throughout the population? To do this, eHealth researchers must combine best evidence from the user sciences (human factors engineering, human-computer interaction, psychology, and usability) with best evidence in medicine to create transformational improvements in the quality of care that medicine offers. These improvements should follow recommendations from the Institute of Medicine to create a healthcare system that is (1) safe, (2) effective (evidence based), (3) patient centered, and (4) timely. Relying on the eHealth researcher's intuitive grasp of systems issues, improvements should be made with considerations of users and beneficiaries at the individual (patient-physician), group (family-staff), community, and broad environmental levels.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.