ArticleHealthcare informatics research2014
Effectiveness of the smart care service for diabetes management.
Article in Healthcare informatics research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 15 citations in OpenAlex.
- The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review.JMIR medical informatics · 2024Article
- Evaluation of a Smart After-Care Program for Patients with Lung Cancer: A Prospective, Single-Arm Pilot Study.Journal of chest surgery · 2022Article
- Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review.Healthcare informatics research · 2018Article
- Management of diabolical diabetes mellitus and periodontitis nexus: Are we doing enough?World journal of diabetes · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe aim of this study was to assess the effectiveness of the Smart Care service for the diabetes management.
methodsFifty-six patients with diabetes mellitus were recruited in Daegu, Korea. All participants completed a diabetes management education course (diet, exercise, and complications) for their self-care and received access to a care management website through a netbook and smartphone. The website accepts uploads of glucose level, body weight, HbA1c, low-density lipoprotein cholesterol level, and blood pressure. Participants communicated with the care manager through the internal management system of the website. The intervention was applied for 6 months.
resultsParticipants receiving the Smart Care service had lower blood glucose and HbA1c during 6 months follow-up when 1-month values (p < 0.001) were compared. There was no significant difference in body weight and body mass index between 1 month and 6 months. The average number of remote consultation with the Smart Care service per person was 10.4 by nurses, 3.0 by nutritionists, and 1.6 by sports curers. Regression analysis indicated that the number of times counseling was offered by nurses influences body weight and that the number of minutes of telephone counseling influences both body weight and body mass index.
conclusionsWe have confirmed that the Smart Care service might be an effective system for reduction in blood glucose and HbA1c. We expect that the Smart Care service will contribute to delaying diabetes complications and improving the quality of life of patients with diabetes.
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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.