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©The Author(s) 2020.
World J Diabetes. Oct 15, 2020; 11(10): 459-467
Published online Oct 15, 2020. doi: 10.4239/wjd.v11.i10.459
Published online Oct 15, 2020. doi: 10.4239/wjd.v11.i10.459
Ref. | Sample | SSC | Age average | Gender | Duration | IEWT | CGITE | DDS version used and data results | Statistical significance between groups |
Fisher et al[15], 2014 | 392 | No | 56 | 53.8% Female, 46.2% Male | 48 wk | My path to a healthy life computer-assisted self-management plus problem-solving therapyTechnology: Phone calls and web-based diabetes self-management and diabetes distress change program | Leap ahead program delivers diabetes information only, and participants were not directed to use the information to engage in a specific or structured program of self-management or diabetes distress change | DDS (5- item Regimen Distress Subscale and 5-item Emotional Burden Subscale from DDS) | P = 0.50, No significant |
Nobis et al[16], 2015 | 260 | Yes | 51 | 63% Female, 37% Male | 8 wk | GET.ON Mood Enhancer personalized, guided, Internet-based diabetes self-help intervention with personalized feedback from psychologist | Control Group: Unguided psychoeducation program | DDS (PAID-5) | P < 0.001, Significant |
Bajaj et al[17], 2016 | 139 | Yes | 56.4 | NR | 12 wk | Long-acting insulin glargine Titration Web Tool (LTHome), instructions on insulin administration and dosing, as well as the use of the web-based LTHome tool (containing a rules engine-based algorithm for titration), provided by a delegated nonhealthcare professional Technology: Web-based insulin titration algorithm embedded in a range of platforms, including glucometer, personal computer and mobile phones | EUT of Glargine Titration: Insulin dosing and titration instructions were provided by CDEs according to a standard protocol | 17-item DDS | P = 0.04; Significant |
Rondags et al[18], 2016 | 137 | Yes | 52 | 46% Female, 54% Male | 24 wk | HypoAware consists of three group sessions and is combined with two online modules. Group sessions are highly interactive and aimed at patient empowerment to improve symptom recognition, risk awareness, preventive and problem-solving strategies and coping with (the risk of) hypoglycemia Technology: two online modules | Care as usual had access to comprehensive diabetes care as normally provided by their diabetes team | DDS (PAID-5) | P = 0.365, No significant |
Holland-Carter et al[19], 2017 | 563 | Yes | 55.1 | 71% Female, 29% Male | 48 wk | WW approach, supplemented with phone and email counseling with a CDE Technology: WW online tools, unlimited phone calls and email diabetes educator consultation | SC, one session of face-to-face T2DM nutritional counseling by a registered dietitian as well as follow-up written information | 17-item DDS | P < 0.001, Significant |
Newby et al[20], 2017 | 106 | Yes | 47 | 71% Female, 29% Male | 10 wk | ICBT not tailored to diabetes | TAU control group | DDS (PAID 20 items) | P < 0.001, Significant |
Ebert et al[21], 2017 | 260 | Yes | 50.8 | 43.8% Female, 56.2% Male | 24 wk | GET.ON Mood Enhancer personalized, guided, Internet-based diabetes self-help intervention with personalized feedback from psychologist Technology: active online training on diabetes and depression, personalized approach | Control: Usual treatment | DDS (PAID-5) | P < 0.001, Significant |
Schlicker et al[22], 2019 | 253 | No | 50.7 | 62.8% Female, 37.2% Male | 24 wk | GET.ON Mood Enhancer personalized, guided, Internet-based diabetes self-help intervention with personalized feedback from psychologist | Placebo online, online psychoeducation control condition | DDS (PAID-5) | P = 0.75, No significant |
Clarke et al[23], 2019 | 780 | Yes | 58 | 68.8% Female, 31.2% Male | 12 wk | My compass program is a fully automated, web- based cognitive behavioral, self-guided public health treatment program for common mental health problems with a personalized treatment plan based on an assessment of user symptoms. Technology: Web-based, fully automated program with self-guided cognitive behavioral treatment through personal computer or mobile phone | Healthy lifestyles: Placebo without therapeutic, only informative, no feedback content | 17-item DDS | P = 0.36, No significant |
Ref. | Randomization, method | Double blind | Descriptions of withdrawals and dropouts | Total |
Bajaj et al[17] | 1 + 1 | 0 | 1 | 3 |
Clarke et al[23] | 1 + 1 | 1 + 1 | 1 | 5 |
Ebert et al[21] | 1 + 1 | 1 | 1 | 4 |
Fisher et al[15] | 1 + 1 | 0 | 1 | 3 |
Holland-Carter et al[19] | 1 + 1 | 1 + 1 | 1 | 5 |
Nobis et al[16] | 1 + 1 | 0 | 1 | 3 |
Rondags et al[18] | 1 + 1 | 0 | 1 | 3 |
Schlicker et al[22] | 1 | 0 | 0 | 1 |
Newby et al[20] | 1 + 1 | 1 + 1 | 1 | 5 |
- Citation: Vieira P, Kobayasi R, Pereira F, Zaia I, Sasaki SU. Impact of technology use in type 2 diabetes distress: A systematic review. World J Diabetes 2020; 11(10): 459-467
- URL: https://www.wjgnet.com/1948-9358/full/v11/i10/459.htm
- DOI: https://dx.doi.org/10.4239/wjd.v11.i10.459