ArticleJournal of general internal medicine2005
Health services research in the privacy age.
Article in Journal of general internal medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- A randomized controlled pilot trial of the functional assessment screening tablet to engage patients at the point of care.Journal of general internal medicine · 2014Trial
- Promoting safe prescribing in primary care with a contraceptive vital sign: a cluster-randomized controlled trial.Annals of family medicineTrial
- Patterns of response to patient-centered decision support through a personal health record.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014Article
- Racial comparisons of diabetes care and intermediate outcomes in a patient-centered medical home.Diabetes care · 2014Article
- Role of health information technologies in the Patient-centered Medical Home.Journal of diabetes science and technology · 2013Review
- Patient difficulty using tablet computers to screen in primary care.Journal of general internal medicine · 2008Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStrengthened regulations concerning privacy of health information are affecting large-scale health outcomes research.
objectiveTo create a data collection system that would facilitate outcomes research, avoid selection bias, and fulfill obligations to protect privacy.
designWe created a web-based system that uses touch-screen computer technology for longitudinal collection of data. The system provides access to information in deidentified form, enables it to be linked to health services and outcomes data, and allows patients to join a research registry project (RRP) and be placed on a prospective subject list (PSL). PARTICIPANTS, MEASUREMENTS, AND
resultsPilot testing in 86 consecutive patients who were seen at a large, urban, university-based general medicine practice and had a mean age of 50 years showed that 81 patients had no difficulty, 5 had some difficulty, and none had considerable difficulty using the computer technology to complete a health survey. No patients refused to complete the survey and all patients completed the entire survey. Forty-seven (55%) joined the RRP and 42 of these 47 (89%) joined the PSL. RRP participants were less likely than RRP nonparticipants to be divorced or widowed (P=.03) and less likely to have hypertension (P=.03) but had no other significant differences in sociodemographic or clinical characteristics. PSL participants did not differ from PSL nonparticipants.
conclusionsThe new system ensures privacy and appears to facilitate research recruitment and avoid selection bias.
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.