ArticleJournal of medical Internet research2015
The Role of eHealth in Optimizing Preventive Care in the Primary Care Setting.
Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04594304 (Screening While You Wait 2), which is not on this map. Cited by 30 papers.
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.
Screening While You Wait 2: Alcohol and Tobacco Use
Who cites it
30 citing papers in PubMed.
- Feasibility of an Electronic Health Tool to Promote Physical Activity in Primary Care: Pilot Cluster Randomized Controlled Trial.Journal of medical Internet research · 2020Trial
- A multimedia campaign to improve back beliefs in patients with non-specific low back pain: a process evaluation.BMC musculoskeletal disorders · 2017Trial
- Trial
- Article
- Defining and Assessing Distress in Oncology Patients: A Systematic Review of the Literature.Healthcare (Basel, Switzerland) · 2025Review
- Novel uses of healthcare technology for individuals with mild to moderate hip or knee osteoarthritis: The technology, exercise and activity prescription for enhanced mobility (TEAM) study randomized controlled trial protocol.Osteoarthritis and cartilage open · 2025Article
- Attitudes of German General Practitioners Toward eHealth Apps for Dementia Risk Reduction: Qualitative Interview Study.JMIR formative research · 2025Article
- Comparing a Digital Health Check With Traditional Nurse-Led Health Examinations Among Long-Term Unemployed Individuals: Comparison Study.Journal of medical Internet research · 2024Article
- Physician perspectives on chronic pain management: barriers and the use of eHealth in the COVID-19 era.BMC health services research · 2023Article
- The Role of Telemedicine in the Treatment of Cognitive and Psychological Disorders in Parkinson's Disease: An Overview.Brain sciences · 2023Review
- A feasibility study of a randomized controlled trial protocol to assess the impact of an eHealth intervention on the provision of dietary advice in primary care.Pilot and feasibility studies · 2022Article
- Implementation of a Web-Based Tool for Shared Decision-making in Lung Cancer Screening: Mixed Methods Quality Improvement Evaluation.JMIR human factors · 2022Article
- Women's perceptions of PERSPECTIVE: a breast cancer risk stratification e-platform.Hereditary cancer in clinical practice · 2022Article
- Implementation of cancer screening in rural primary care practices after joining an accountable care organisation: a multiple case study.Family medicine and community health · 2021Article
- Review
- Health information technology to improve care for people with multiple chronic conditions.Health services research · 2021Review
- STAR Duodecim eHealth Tool to Recognize Chronic Disease Risk Factors and Change Unhealthy Lifestyle Choices Among the Long-Term Unemployed: Protocol for a Mixed Methods Validation Study.JMIR research protocols · 2021Article
- Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling.Journal of medical Internet research · 2020Article
- Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study.JMIR research protocols · 2020Article
- Efficiency as a determinant of loyalty among users of a Community of Clinical Practice: a comparative study between the implementation and consolidation phases.BMC family practice · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modifiable health risk behaviors such as smoking, overweight and obesity, risky alcohol consumption, physical inactivity, and poor nutrition contribute to a substantial proportion of the world's morbidity and mortality burden. General practitioners (GPs) play a key role in identifying and managing modifiable health risk behaviors. However, these are often underdetected and undermanaged in the primary care setting. We describe the potential of eHealth to help patients and GPs to overcome some of the barriers to managing health risk behaviors. In particular, we discuss (1) the role of eHealth in facilitating routine collection of patient-reported data on lifestyle risk factors, and (2) the role of eHealth in improving clinical management of identified risk factors through provision of tailored feedback, point-of-care reminders, tailored educational materials, and referral to online self-management programs. Strategies to harness the capacity of the eHealth medium, including the use of dynamic features and tailoring to help end users engage with, understand, and apply information need to be considered and maximized. Finally, the potential challenges in implementing eHealth solutions in the primary care setting are discussed. In conclusion, there is significant potential for innovative eHealth solutions to make a contribution to improving preventive care in the primary care setting. However, attention to issues such as data security and designing eHealth interfaces that maximize engagement from end users will be important to moving this field forward.
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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.