Trial reportPopulation health management2009
The effects of a computer-tailored message on secondary prevention in type 2 diabetes: a randomized trial.
Trial report in Population health management, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus.The Cochrane database of systematic reviews · 2013Pooled it
- Effectiveness of Technologically Enhanced Peer Support in Improving Glycemic Management Among Predominantly African American, Low-Income Adults With Diabetes.The Diabetes educator · 2019Trial
- An e-health solution for people with alcohol problems.Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2011Review
- Article
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 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to test the effect of computer-generated, tailored feedback on the quality of chronic disease management for type 2 diabetes when provided to a patient prior to a scheduled physician visit. A stand-alone computer application was developed to provide tailored feedback aimed at empowering patients to engage more actively in their diabetes management. Adults with type 2 diabetes (n = 203) were randomly assigned to groups receiving either efficacy (positive) messages (n = 68), risk (negative) messages (n = 67), or to a delayed treatment control group (n = 68). The intervention was delivered prior to a patient's visit with his or her physician so that patients would have the opportunity to discuss the messages at the clinical appointment. Although there were no significant differences in the percentage of participants who received intensified care or routine tests between the control and intervention groups, we learned that more directive messaging may be needed to help patients effectively manage their diabetes. Patients may benefit from directive feedback, providing them with specific questions to ask their physician that can lead to improved care, rather than receiving general and educational informational messages.
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.