ArticleMaternal and child health journal2016
Improving Adolescent Health Risk Assessment: A Multi-method Pilot Study.
Article in Maternal and child health journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed, 8 citations in OpenAlex.
- Champions as catalysts for change: a realist evaluation of their impact in primary care.BMC health services research · 2025Article
- Demographic Characteristics Associated With Adolescent Receipt of Provider E-Cigarette Screening and Advice and the Impact on Harm Perception.AJPM focus · 2025Article
- Assessing the Effect of School-Based Health Centers on Achievement of National Performance Measures.The Journal of school health · 2021Article
- Dental practitioners' use of health risk assessments for a variety of health conditions: Results from the South Atlantic region of The National Dental Practice-Based Research Network.Journal of the American Dental Association (1939) · 2021Article
- Improving Patient-Centered Care for Young People in General Practice With a Codesigned Screening App: Mixed Methods Study.JMIR mHealth and uHealth · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Objectives Given poor compliance by providers with adolescent health risk assessment (HRA) in primary care, we describe the development and feasibility of using a health information technology (HIT)-enhanced HRA to improve the frequency of HRAs in diverse clinical settings, asking adolescents' recall of quality of care as a primary outcome. Methods We conducted focus groups and surveys with key stakeholders (Phase I) , including adolescents, clinic staff and providers to design and implement an intervention in a practice-based research network delivering private, comprehensive HRAs via tablet (Phase II). Providers and adolescents received geo-coded community resources according to individualized risks. Following the point-of-care implementation , we collected patient-reported outcomes using post-visit quality surveys (Phase III). Patient-reported outcomes from intervention and comparison clinics were analyzed using a mixed-model, fitted separately for each survey domain. Results Stakeholders agreed upon an HIT-enhanced HRA (Phase I). Twenty-two academic and community practices in north-central Florida then recruited 609 diverse adolescents (14-18 years) during primary care visits over 6 months; (mean patients enrolled = 28; median = 20; range 1-116; Phase II). Adolescents receiving the intervention later reported higher receipt of confidential/private care and counseling related to emotions and relationships (adjusted scores 0.42 vs 0.08 out of 1.0, p < .01; 0.85 vs 0.57, p < .001, respectively, Phase III) than those receiving usual care. Both are important quality indicators for adolescent well-child visits. Conclusions Stakeholder input was critical to the acceptability of the HIT-enhanced HRA. Patient recruitment data indicate that the intervention was feasible in a variety of clinical settings and the pilot evaluation data indicate that the intervention may improve adolescents' perceptions of high quality care.
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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.