SynthesisJournal of epidemiology and community health1998
A systematic review of the use of computers in the management of hypertension.
Synthesis in Journal of epidemiology and community health, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses 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
18 citing papers in PubMed, 5 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Effects of health information technology on patient outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- Clinical Decision Support Systems and Prevention: A Community Guide Cardiovascular Disease Systematic Review.American journal of preventive medicine · 2015Pooled it
- Changing clinical practice through patient specific reminders available at the time of the clinical encounter: systematic review and meta-analysis.Journal of general internal medicine · 2012Pooled it
- Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings.Journal of the American Medical Informatics Association : JAMIA · 2011Pooled it
- The impact of eHealth on the quality and safety of health care: a systematic overview.PLoS medicine · 2011Pooled it
- Influence of guideline adherence on outcome in a randomised controlled trial on the efficacy of methotrexate with folate supplementation in rheumatoid arthritis.Annals of the rheumatic diseases · 2004Trial
- Effectiveness of a measurement feedback system on outcome in rheumatoid arthritis: a controlled clinical trial.Annals of the rheumatic diseases · 2003Trial
- Evaluation of computer based clinical decision support system and risk chart for management of hypertension in primary care: randomised controlled trial.BMJ (Clinical research ed.) · 2000Trial
- Impact of electronic health record clinical decision support on diabetes care: a randomized trial.Annals of family medicineTrial
- Golden opportunities for clinical decision support in an era of team-based healthcare.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming.Journal of community hospital internal medicine perspectives · 2015Article
- Essential pediatric hypertension: defining the educational needs of primary care pediatricians.BMC medical education · 2014Article
- Cost-effectiveness of an electronic medical record based clinical decision support system.Health services research · 2012Article
- Overview of systematic reviews of the effectiveness of reminders in improving healthcare professional behavior.Systematic reviews · 2012Review
- Use of decision aids to support informed choices about screening.BMJ (Clinical research ed.) · 2004Review
- Hypertension and medical informatics.Journal of the National Medical Association · 2003Review
- A review on systematic reviews of health information system studies.Journal of the American Medical Informatics Association : JAMIAReview
- Impact on process results of clinical decision support systems (CDSSs) applied to medication use: overview of systematic reviews.Pharmacy practiceArticle
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 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectiveTo assess the effect of computers and computer-based clinical decision support systems on the management of hypertension.
designSystematic review of randomised controlled trials.
settingAmbulatory hypertension clinics, community-based health centres, and general practices.
participants11,962 patients enrolled in seven trials retrieved from a systematic search (electronic databases, contact with authors, reference lists; no restriction on language). MAIN
resultsIndividual trials report on a diverse population of patients (newly diagnosed or established hypertensive patients), interventions (computers used for case finding, recall and registration, feedback on quality of blood pressure control and prescribing information), and outcomes (administration, physician performance and blood pressure control). Four of five trials reported an improvement in patient administration using a computer. Two of three trials reported an improvement in physician performance using a computer. Two of six trials. reported an improvement in blood pressure control in patients using a computer. However, positive findings in two trials should be regarded cautiously because of the potential effects of cluster randomisation.
conclusionsIt seems that computers have a favourable effect on the uptake and follow up of patients in hypertension management. The effect of computers on physician knowledge, recording of information, and blood pressure control in patients is less conclusive and further studies are required.
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.