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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
Items 101–148 of 148
van Leersum, C. M., Konrad, K., Bults, M., & den Ouden, M. E. M. (2024) · Digital Health · doi:10.1177/20552076241257052 · Cited by 7
Sakraida, T. J., & Weber, M. (2015) · Perspectives In Psychiatric Care · doi:10.1111/ppc.12128 · Cited by 8
Critical design factors for information technology supporting type 1 diabetes management
Jane, B., Kerr, L., Robertson, L., Stewart, A., Suits, J., Patek, S. D., & Valdez, R. S. (2016) · Systems and Information Engineering Design Symposium · doi:10.1109/sieds.2016.7489311 · Cited by 7
Mobile Health to Support Ageing in Place: A Synoptic Overview
Queirós, A., Cerqueira, M., Santos, M., & Rocha, N. P. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.11.028 · Cited by 7
Evaluation of NFC-Guidable System to Manage Polypharmacy in Elderly Patients
Alzahrani, K. J., & Alnfiai, M. M. (2021) · Computer Systems Science and Engineering · doi:10.32604/csse.2022.020620 · Cited by 8
Alrige, M., Chatterjee, S., Medina, E., & Nuval, J. (2017) · PubMed Central · Cited by 7
Chong, C. J., Makmor‐Bakry, M., Hatah, E., Tahir, N. A. M., Mustafa, N., Capule, F. R., & Hermansyah, A. (2024) · Patient Education and Counseling · doi:10.1016/j.pec.2024.108547 · Cited by 10
Coventry, P. A., Bower, P., Blakemore, A., Baker, E., Hann, M., Paisley, A. N., Renwick, C., Li, J., Ugajin, A., & Gibson, M. (2016) · Trials · doi:10.1186/s13063-016-1519-6 · Cited by 6
Petersen, F., Baker, A., Pather, S., & Tucker, W. D. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45002-1_7 · Cited by 6
Burford, S. J., Park, S., Carpenter, M., Dawda, P., & Burns, J. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.420 · Cited by 5
Technologies for Ageing in Place to Support the Empowerment of Patients with Chronic Diseases
Queirós, A., Pereira, L. T., Santos, M., & Rocha, N. P. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-56538-5_80 · Cited by 5
Samadbeik, M., Garavand, A., Saremian, M., Baraei, Z., & Adeli, M. (2018) · Shiraz E-Medical Journal · doi:10.5812/semj.65797 · Cited by 5
Home Telemonitoring Platforms for Adults with Diabetes Mellitus: A Narrative Review of Literature
Hammett, J., Sasangohar, F., & Lawley, M. (2018) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931218621116 · Cited by 5
Effectiveness of digital health interventions for diabetes: Systematic review of systematic reviews
Maiga, B., Bagayoko, C. O., Ahmed, M. A. A., Anne, A., Gagnon, M. P., Traoré, S. A., Landrier, J., & Geissbühler, A. (2021) · African journal of diabetes medicine/The African journal of diabetes medicine · doi:10.54931/2053-4787.29-s1-4 · Cited by 4
Honarvar, B., Salehi, F., Shaygani, F., Hajebrahimi, M., Homayounfar, R., Dehghan, S., Barahmand, N., & Lankarani, K. B. (2018) · Shiraz E-Medical Journal · doi:10.5812/semj.81794 · Cited by 4
Sobri, N. H. M., Ismail, I. Z., Hassan, F., Nadal, I. P., Forbes, A., Ching, S. M., Ali, H., Goldsmith, K., Murphy, H. R., Guess, N. D., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-044878 · Cited by 4
A close look at socio-technical design features of mobile applications for diabetes self-management
Wahbeh, A., El-Gayar, O., & Sarnikar, S. (2020) · Health and Technology · doi:10.1007/s12553-020-00497-4 · Cited by 3
Self-citationTechnologies for Ageing in Place: A Systematic Review of Reviews and Meta-analyses
Pereira, L. T., Dias, A. A. D. C., Queirós, A., & Rocha, N. P. (2018) · Communications in computer and information science · doi:10.1007/978-3-319-94806-5_18 · Cited by 3
Gomes, M. S., Rainho, J., Damasceno, A., & Rocha, N. P. (2020) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-42934-8_14 · Cited by 3
DiabSoft: A System for Diabetes Prevention, Monitoring, and Treatment
Cruz-Ramos, N. A., Alor‐Hernández, G., Sánchez-Cervantes, J. L., Paredes‐Valverde, M. A., & Salas‐Zárate, M. D. P. (2018) · Studies in computational intelligence · doi:10.1007/978-3-319-74002-7_7 · Cited by 3
Carcone, A. I., Baskar, D., Mahmood, A., MacDonell, K. K., Eggly, S. S., Ghosh, S., Buggs‐Saxton, C., Ondersma, S. J., & Ellis, D. A. (2025) · JMIR Formative Research · doi:10.2196/75623 · Cited by 2
Pak, J., & Song, Y.-T. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.464 · Cited by 2
Dantu, R., Mahapatra, R., & Wang, J. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67964-8_10 · Cited by 2
Queirós, A., Santos, M., Cerqueira, M., & Rocha, N. P. (2017) · Journal of Information Systems Engineering & Management · doi:10.20897/jisem.201717 · Cited by 4
Empowering diabetes self-management by gamifying intelligent system: MyTrybeCare concept
Bouras, A., Usop, K., & Popescu, M. (2018) · Middle East Conference on Biomedical Engineering · doi:10.1109/mecbme.2018.8402421 · Cited by 2
Digitalisierung in der Diabetologie — Realität, Herausforderung, Vision
Schwarz, P. E. H., Piller, S., Kokelmann, C., Holland, M., & Timpel, P. (2019) · Info Diabetologie · doi:10.1007/s15034-019-1447-0 · Cited by 2
Use of Mobile Applications in Increasing Knowledge of Diabetes Mellitus Foot Care
Kustini, K., & Sari, Y. (2023) · Journal of Medical and Health Studies · doi:10.32996/jmhs.2023.4.6.3 · Cited by 1
de Paula, D. F. O., Bueno, J. Z., & Viljoen, A. (2021) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2021.601 · Cited by 1
de la Cruz, M. E. M. P., Zegarra, C. I. L., Vega, R. M. B., Sime, C. L. T., Narro, J. B. S., Peñaranda, L. A. F., & Morán, R. C. D. (2023) · EAI Endorsed Transactions on Pervasive Health and Technology · doi:10.4108/eetpht.9.4215 · Cited by 1
Towards the holistic management of diabetes in Saudi Arabia : a multi-method study.
Alharbi, N. (2018) · Surrey Research Insight Open Access (The University of Surrey) · Cited by 1
Bults, M., van Leersum, C. M., Olthuis, T. J. J., Bekhuis, R. E. M., & den Ouden, M. E. M. (2022) · doi:10.2196/preprints.41076 · Cited by 1
Ein Telemedizinsystem für Schwangerschaftsdiabetes
Krampf, J., Bromuri, S., Puricel, S., Diolosa, L., Puder, J. J., Montreuil, C., Schumann, R., Ruiz, J. C., & Schumacher, M. (2014) · Swiss Medical Informatics · doi:10.4414/smi.30.00306
mHEALTHHealthcare Transformation on Steroids
Gordon, D., Konschak, C., Levin, D. N., & Morris, W. (2013)
Avaliação de aplicação móvel para autogestão de diabetes
Moreira, P. Â. D. R. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/pcth-4996
Important Things to Consider In Health Information Exchange (HIE) Process
Zhang, Y. (2016) · International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS) · doi:10.2991/iceeecs-16.2016.68
ICT-ENABLED SELF-MANAGEMENT OF CHRONIC DISEASES THROUGH VALUE SENSITIVE DESIGN
Dadgar, M. (2016) · Research Exchange (Washington State University)
Cipolla-Ficarra, F. V., & Carré, J. (2017) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-5225-3437-2.ch002
Ruiz, E. C. (2017) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.47824
Parham, S. C. (2017) · Queensland University of Technology · doi:10.5204/thesis.eprints.106919
Recent trends in diabetes-related consumer health information technology research
Claiborne, J. P., Wellbeloved-Stone, C. A., & Valdez, R. S. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8857052
Jacobs, M. N. (2021) · University of the Western Cape Electronic Theses and Dissertations Repository (University of the Western Cape)
Analysis of community chronic disease health management mode under the background of big data
Yao, Z., & Cao, S. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202127502026
Wouters, E., van der Zijpp, T. J., & Nieboer, M. E. (2017) · Bohn Stafleu van Loghum eBooks · doi:10.1007/978-90-368-1073-9_5
Viselhető technológia használat a Debreceni Egyetem hallgatói körében
Ráthonyi, G., Ráthonyi-Ódor, K., Szabados, G. N., Bács, Z., & Bába, É. B. (2023) · International Journal of Engineering and Management Sciences · doi:10.21791/ijems.2023.1.5
Jacobs-Basadien, M., & Pather, S. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-37496-8_18
Carcone, A. I., Baskar, D., Mahmood, A., MacDonell, K. K., Eggly, S. S., Ghosh, S., Buggs‐Saxton, C., Ondersma, S. J., & Ellis, D. A. (2025) · doi:10.2196/preprints.75623
Wang, Y., He, W., Chen, Y., Tan, Y., & Zhang, P. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5398502
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review