Trial reportTrials2017
Effects of nurse telesupport on transition between specialized and primary care in diabetic patients: study protocol for a randomized controlled trial.
Trial report in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02768480 (Evaluation of the Effectiveness of Phone Calls Intervention), which is not on this map. Cited by 3 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.
Evaluation of the Effectiveness of Phone Calls Intervention (TelessaúdeRS) on Diabetic Patients After Ambulatory Discharge of a Tertiary Care Center: A Randomized Clinical Trial
Who cites it
3 citing papers in PubMed, 12 citations in OpenAlex.
- The effectiveness of a mHealth-based integrated hospital-community-home program for people with type 2 diabetes in transitional care: a protocol for a multicenter pragmatic randomized controlled trial.BMC primary care · 2022Article
- Synchronous Telephone-Based Consultations in Teledentistry: Preliminary Experience of the Telehealth Brazil Platform.Telemedicine reports · 2021Article
- Three decades of telemedicine in Brazil: Mapping the regulatory framework from 1990 to 2018.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccording to the Global Diabetes Plan, a unified health system with preventive and educational strategies is essential to proper diabetes care and primary settings should be the main site of care. In Brazil, there is limited access to outpatient hospital diabetes services, while primary-care diabetes support is underutilized. Telemedicine can be a useful adjunct to support discharge of stable patients with type 2 diabetes to the primary care setting. In this paper, we present a randomized controlled trial (RCT) protocol designed to evaluate the effects of telehealth support for stable type 2 diabetes patients discharged from hospital outpatient diabetes clinics.
methodsWe designed a RCT. Patients with stable type 2 diabetes (glycated hemoglobin < 8%) considered eligible for discharge from specialized to primary care will be included. Those with uncontrolled ischemic heart disease, severe neuropathy, and stage IV/V nephropathy will be excluded. Enrolled patients will be randomized into two groups: follow-up supported by periodic phone calls by a nurse (intervention group) plus primary care or routine primary care only (control group). The intervention group will receive regular telephone calls (every three months for one year) and will have a toll-free number to call in case of questions about disease management. The main outcome measure is a comparison of glycemic control between groups (assessed by glycated hemoglobin) at one-year follow-up. DISCUSSION: We plan to evaluate the effectiveness of a telephone-based intervention on glycemic control in patients with type 2 diabetes followed by primary care teams. Telemedicine can be an important adjunct in type 2 diabetes management, improving patient education and knowledge about the disease. Furthermore, it can help the healthcare system by alleviating overload in specialized care settings and supporting the stewardship role of primary care.
trial registrationClinical Trials, NCT02768480 . Registered on 29 April 2016.
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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.