The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
A systematic review of IT for diabetes self-management: Are we there yet?
Abstract
Background Recent advances in information technology (IT) coupled with the increased ubiquitous nature of information technology (IT) present unique opportunities for improving diabetes self-management. The objective of this paper is to determine, in a systematic review, how IT has been used to improve self-management for adults with Type 1 and Type 2 diabetes.Methods The review covers articles extracted from relevant databases using search terms related information technology and diabetes self-management published after 1970 until August 2012. Additional articles were extracted using the citation map in Web of Science. Articles representing original research describing the use of IT as an enabler for self-management tasks performed by the patient are included in the final analysis.Results Overall, 74% of studies showed some form of added benefit, 13% articles showed no-significant value provided by IT, and 13% of articles did not clearly define the added benefit due to IT. Information technologies used included the Internet (47%), cellular phones (32%), telemedicine (12%), and decision support techniques (9%). Limitations and research gaps identified include usability, real-time feedback, integration with provider electronic medical record (EMR), as well as analytics and decision support capabilities.Conclusion There is a distinct need for more comprehensive interventions, in which several technologies are integrated in order to be able to manage chronic conditions such as diabetes. Such IT interventions should be theoretically founded and should rely on principles of user-centered and socio-technical design in its planning, design and implementation. Moreover, the effectiveness of self-management systems should be assessed along multiple dimensions: motivation for self-management, long-term adherence, cost, adoption, satisfaction and outcomes as a final result.
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In the citing paper
“Tailored design and personalized contents for patients is a facilitator, and one-for-all unified contents and designs could be a barrier.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [34]
In the citing paper
“Technical constraints (e.g., cell phone unavailability, internet instability) in marginal and remote regions limit the coverage of digital health.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [34]
In the citing paper
“Designing incentives/motivations for primary healthcare providers and patients to use digital health facilitates the uptake, while lack of that could be a barrier.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [34]
In the citing paper
“Digital health tools that enable two-way human interactions are better accepted while replacing human communications with automatic responses is less favored.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [34]
In the citing paper
“Easily navigable interface is a facilitator, and poor/complicated interface is a barrier for the uptake of digital health tools.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [34]
Citations
Cites
Standards of Medical Care in Diabetes—2012
(2012) · Diabetes Care · doi:10.2337/dc12-s011 · Cited by 2,240
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008) · MIS Quarterly · doi:10.2307/25148853 · Cited by 911
Tate, D. F., Jackvony, E. H., & Wing, R. R. (2003) · JAMA · doi:10.1001/jama.289.14.1833 · Cited by 666
A European Evidence-Based Guideline for the Prevention of Type 2 Diabetes
Paulweber, B., Valensi, P. E., Lindström, J., Lalic, N. M., Greaves, C. J., McKee, M., Kissimova‐Skarbek, K., Liatis, S., Cosson, E., Szendroedi, J., et al. (2010) · Hormone and Metabolic Research · doi:10.1055/s-0029-1240928 · Cited by 485
Chomutare, T., Fernandez-Luque, L., Årsand, E., & Hartvigsen, G. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1874 · Cited by 451
Quinn, C. C., Clough, S. S., Minor, J. M., Lender, D., Okafor, M. C., & Gruber-Baldini, A. (2008) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0283 · Cited by 406
Shea, S., Weinstock, R. S., Teresi, J. A., Palmas, W., Starren, J. B., Cimino, J. J., Lai, A. M., Field, L., Morin, P. C., Goland, R., et al. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3157 · Cited by 383
Mobile Applications for Diabetes Self-Management: Status and Potential
El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700130 · Cited by 370
Self-citationThe Diabetes Network Internet-Based Physical Activity Intervention
McKay, H. G., King, D., Eakin, E. G., Seeley, J. R., & Glasgow, R. E. (2001) · Diabetes Care · doi:10.2337/diacare.24.8.1328 · Cited by 363 · cited 2×
“5 Satisfaction Yes McKay (2001) [111] T2 Internet Two-way 78 2 Physical activity McKay (2002) [112] T2 Internet Two-way 160 3 Healthy behavior Yes McMohan (2005) [44] T1&2 Internet Two-way 104 12 HbA1c Yes >1% Meneghini (1998) [52] ND Phone Two-way 30 12 HbA1c Yes >0.”
Au, N., Ngai, E. W. T., & Cheng, T. C. E. (2008) · MIS Quarterly · doi:10.2307/25148828 · Cited by 360
Research works printed but not linked: 11
- Bond, 2008, Physical outcomes associated with a 12 month internet intervention among older adults with diabetes, Gerontologist, 48, 187
- Davis, 2008, The Diabetes TeleCare Study (DTC): a telemedicine-base diabetes self-management intervention in a rural community, Diabetes, 57, A37
- Grant, 2010, Diabetes connected health: a pilot randomized trial of a clinically integrated electronic home glucose monitoring system in primary care, Diabetes, 59, A638
- McCarrier, 2008, Effects of a web-based co-management program in younger adults with type 1 diabetes: a randomized controlled trial, Diabetes, 57, A348
- Cho, 2005, 30-month follow-up study of an internet based glucose monitoring system: a new era in diabetes management, Diabetes, 54, A98
- Glasgow, 2012, Twelve-month outcomes of an Internet-based diabetes self-management support program, Patient Educ. Couns., 87, 81, 10.1016/j.pec.2011.07.024 · DOI
- Goldberg, 2006, Internet co-management of type 2 diabetes: a randomized controlled trial (RCT), Diabetes, 55, A270
- Kim, 2012, A web-based pedometer programme in women with a recent history of gestational diabetes, Diabetic Med., 29, 278, 10.1111/j.1464-5491.2011.03415.x · DOI
- Landau, 2012, The effectiveness of Internet-based blood glucose monitoring system on improving diabetes control in adolescents with type 1 diabetes, Pediatr. Diabetes, 13, 203, 10.1111/j.1399-5448.2011.00800.x · DOI
- Simonson, 2009, Electronic diary and Internet-based clinical monitoring of hypoglycemia during intensive insulin titration in type 1 and type 2 diabetes, Diabetes, 58, A72
- Trief, 2010, Adherence to diabetes self care for White, African American and Hispanic American telemedicine participants: IDEATel project, Diabetes, 59, A68
Cited by
Sorted by citations
Whitehead, L., & Seaton, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4883 · Cited by 743
“However, these areas have been raised in other studies as requiring regular monitoring and attention [34,35].”
ResultHou, C., Carter, B., Hewitt, J., Francisa, T., & Mayor, S. (2016) · Diabetes Care · doi:10.2337/dc16-0346 · Cited by 411
Kampmeijer, R., Pavlova, M., Tambor, M., Golinowska, S., & Groot, W. (2016) · BMC Health Services Research · doi:10.1186/s12913-016-1522-3 · Cited by 328
Reliability and validity of ten consumer activity trackers
Kooiman, T. J. M., Dontje, M. L., Sprenger, S. R., Krijnen, W. P., van der Schans, C. P., & de Groot, M. (2015) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-015-0018-5 · Cited by 360
Diabetes Management via Mobile Phones: A Systematic Review
Holtz, B., & Lauckner, C. (2012) · Telemedicine and e-Health · doi:10.1089/tmj.2011.0119 · Cited by 318
Metadata
- Authors
- El-Gayar, O., Timsina, P., Nawar, N., & Eid, W.
- Affiliations
- Dakota State University (US)
- St. Elizabeth Healthcare (US)
- Corresponding author
- El-Gayar, Omar
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 82
- Issue
- 8
- Pages
- 637-652
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2050896776
- Cited by
- 148
- References
- 121
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 12 · 2020: 11 · 2019: 13 · 2018: 19 · 2017: 22 · 2016: 25 · 2015: 22 · 2014: 8 · 2013: 1
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetes self-management, information technology, type 1 diabetes, type 2 diabetes, telemedicine, mobile health, online intervention, clinical decision support, electronic health records, usability, real-time feedback, user-centered design, socio-technical design, chronic disease management
- MeSH terms
- Adult, Diabetes Mellitus, Humans, Medical Informatics, Self Care
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