ArticleJournal of diabetes science and technology2011
The scope of cell phones in diabetes management in developing country health care settings.
Article in Journal of diabetes science and technology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 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
12 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Mobile phone-based mHealth approaches for public health surveillance in sub-Saharan Africa: a systematic review.International journal of environmental research and public health · 2014Pooled it
- Use of mHealth systems and tools for non-communicable diseases in low- and middle-income countries: a systematic review.Journal of cardiovascular translational research · 2014Pooled it
- Telemedicine application in the care of diabetes patients: systematic review and meta-analysis.PloS one · 2013Pooled it
- Impact of Telephonic Reinforcement on Glycemic Control in Pediatric Type 1 Diabetes Mellitus: A Prospective Interventional Study at a Tertiary Healthcare Center.Journal of pharmacy & bioallied sciences · 2024Article
- Cost analysis of implementing mHealth intervention for maternal, newborn & child health care through community health workers: assessment of ReMIND program in Uttar Pradesh, India.BMC pregnancy and childbirth · 2018Article
- Tablet-based disclosure counselling for HIV-infected children, adolescents, and their caregivers: a pilot study.African journal of AIDS research : AJAR · 2018Article
- Mobile health solutions in developing countries: a stakeholder perspective.Health systems (Basingstoke, England) · 2018Review
- Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India.Cost effectiveness and resource allocation : C/E · 2018Article
- Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.Journal of medical systems · 2017Article
- mHealth and the management of chronic conditions in rural areas: a note of caution from southern India.Anthropology & medicine · 2017Article
- Article
- Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States.Health services research and managerial epidemiologyArticle
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.
Funding
Abstract
Diabetes has emerged as a major public health concern in developing nations. Health systems in most developing countries are yet to integrate effective prevention and control programs for diabetes into routine health care services. Given the inadequate human resources and underfunctioning health systems, we need novel and innovative approaches to combat diabetes in developing-country settings. In this regard, the tremendous advances in telecommunication technology, particularly cell phones, can be harnessed to improve diabetes care. Cell phones could serve as a tool for collecting information on surveillance, service delivery, evidence-based care, management, and supply systems pertaining to diabetes from primary care settings in addition to providing health messages as part of diabetes education. As a screening/diagnostic tool for diabetes, cell phones can aid the health workers in undertaking screening and diagnostic and follow-up care for diabetes in the community. Cell phones are also capable of acting as a vehicle for continuing medical education; a decision support system for evidence-based management; and a tool for patient education, self-management, and compliance. However, for widespread use, we need robust evaluations of cell phone applications in existing practices and appropriate interventions in diabetes.
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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.