Literature DB >> 21722593

The scope of cell phones in diabetes management in developing country health care settings.

Vamadevan S Ajay1, Dorairaj Prabhakaran.   

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.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 21722593      PMCID: PMC3192644          DOI: 10.1177/193229681100500332

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  22 in total

1.  A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects.

Authors:  V Mohan; R Deepa; M Deepa; S Somannavar; M Datta
Journal:  J Assoc Physicians India       Date:  2005-09

2.  Derivation and validation of diabetes risk score for urban Asian Indians.

Authors:  A Ramachandran; C Snehalatha; V Vijay; N J Wareham; S Colagiuri
Journal:  Diabetes Res Clin Pract       Date:  2005-04-15       Impact factor: 5.602

3.  The burden of diabetes and impaired glucose tolerance in India using the WHO 1999 criteria: prevalence of diabetes in India study (PODIS).

Authors:  S M Sadikot; A Nigam; S Das; S Bajaj; A H Zargar; K M Prasannakumar; A Sosale; C Munichoodappa; V Seshiah; S K Singh; A Jamal; K Sai; Y Sadasivrao; S S Murthy; D K Hazra; S Jain; S Mukherjee; S Bandyopadhay; N K Sinha; R Mishra; M Dora; B Jena; P Patra; K Goenka
Journal:  Diabetes Res Clin Pract       Date:  2004-12       Impact factor: 5.602

4.  Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients.

Authors:  Alexander G Logan; Warren J McIsaac; Andras Tisler; M Jane Irvine; Allison Saunders; Andrea Dunai; Carlos A Rizo; Denice S Feig; Melinda Hamill; Mathieu Trudel; Joseph A Cafazzo
Journal:  Am J Hypertens       Date:  2007-09       Impact factor: 2.689

5.  Low use of statins and other coronary secondary prevention therapies in primary and secondary care in India.

Authors:  Krishna K Sharma; Rajeev Gupta; Aachu Agrawal; Sanjeeb Roy; Atul Kasliwal; Ajeet Bana; Ravindra K Tongia; Prakash C Deedwania
Journal:  Vasc Health Risk Manag       Date:  2009-11-23

6.  Diabetes self-management care via cell phone: a systematic review.

Authors:  Santosh Krishna; Suzanne Austin Boren
Journal:  J Diabetes Sci Technol       Date:  2008-05

Review 7.  Healthcare via cell phones: a systematic review.

Authors:  Santosh Krishna; Suzanne Austin Boren; E Andrew Balas
Journal:  Telemed J E Health       Date:  2009-04       Impact factor: 3.536

8.  Cardiovascular risk profile of subjects with known diabetes from the middle- and high-income group population of Delhi: the DEDICOM survey.

Authors:  J Nagpal; A Bhartia
Journal:  Diabet Med       Date:  2007-11-19       Impact factor: 4.359

9.  Management of Chinese patients with type 2 diabetes, 1998-2006: the Diabcare-China surveys.

Authors:  Changyu Pan; Wenying Yang; Weiping Jia; Jianping Weng; Hui Tian
Journal:  Curr Med Res Opin       Date:  2009-01       Impact factor: 2.580

10.  Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes.

Authors:  Robert S H Istepanian; Karima Zitouni; Diane Harry; Niva Moutosammy; Ala Sungoor; Bee Tang; Kenneth A Earle
Journal:  J Telemed Telecare       Date:  2009       Impact factor: 6.184

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  10 in total

Review 1.  Use of mHealth systems and tools for non-communicable diseases in low- and middle-income countries: a systematic review.

Authors:  David Peiris; Devarsetty Praveen; Claire Johnson; Kishor Mogulluru
Journal:  J Cardiovasc Transl Res       Date:  2014-09-11       Impact factor: 4.132

2.  Tablet-based disclosure counselling for HIV-infected children, adolescents, and their caregivers: a pilot study.

Authors:  Megan S McHenry; Edith Apondi; Carole I McAteer; Winstone M Nyandiko; Lydia J Fischer; Ananda R Ombitsa; Josephine Aluoch; Michael L Scanlon; Rachel C Vreeman
Journal:  Afr J AIDS Res       Date:  2018-10-14       Impact factor: 1.300

3.  Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.

Authors:  Naser Kalid; A A Zaidan; B B Zaidan; Omar H Salman; M Hashim; H Muzammil
Journal:  J Med Syst       Date:  2017-12-29       Impact factor: 4.460

Review 4.  Mobile health solutions in developing countries: a stakeholder perspective.

Authors:  Emmanuel Eze; Rob Gleasure; Ciara Heavin
Journal:  Health Syst (Basingstoke)       Date:  2018-04-04

5.  Telemedicine application in the care of diabetes patients: systematic review and meta-analysis.

Authors:  Milena Soriano Marcolino; Junia Xavier Maia; Maria Beatriz Moreira Alkmim; Eric Boersma; Antonio Luiz Ribeiro
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

Review 6.  Mobile phone-based mHealth approaches for public health surveillance in sub-Saharan Africa: a systematic review.

Authors:  Johanna Brinkel; Alexander Krämer; Ralf Krumkamp; Jürgen May; Julius Fobil
Journal:  Int J Environ Res Public Health       Date:  2014-11-12       Impact factor: 3.390

7.  mHealth and the management of chronic conditions in rural areas: a note of caution from southern India.

Authors:  Papreen Nahar; Nanda Kishore Kannuri; Sitamma Mikkilineni; G V S Murthy; Peter Phillimore
Journal:  Anthropol Med       Date:  2017-02-08

8.  Cost effectiveness of mHealth intervention by community health workers for reducing maternal and newborn mortality in rural Uttar Pradesh, India.

Authors:  Shankar Prinja; Pankaj Bahuguna; Aditi Gupta; Ruby Nimesh; Madhu Gupta; Jarnail Singh Thakur
Journal:  Cost Eff Resour Alloc       Date:  2018-06-25

9.  Trends in population blood pressure and prevalence, awareness, treatment, and control of hypertension among middle-aged and older adults in a rural area of Northwest China from 1982 to 2010.

Authors:  Yaling Zhao; Hong Yan; Roger J Marshall; Shaonong Dang; Ruihai Yang; Qiang Li; Xueying Qin
Journal:  PLoS One       Date:  2013-04-16       Impact factor: 3.240

10.  Cost analysis of implementing mHealth intervention for maternal, newborn & child health care through community health workers: assessment of ReMIND program in Uttar Pradesh, India.

Authors:  Shankar Prinja; Aditi Gupta; Pankaj Bahuguna; Ruby Nimesh
Journal:  BMC Pregnancy Childbirth       Date:  2018-10-03       Impact factor: 3.007

  10 in total

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