Literature DB >> 21406010

Chat line for adolescents with type 1 diabetes: a useful tool to improve coping with diabetes: a 2-year follow-up study.

Dario Iafusco1, Alfonso Galderisi, Ida Nocerino, Alessandra Cocca, Gianvincenzo Zuccotti, Francesco Prisco, Andrea Scaramuzza.   

Abstract

BACKGROUND: We evaluated the impact of a 2-year chat line involving adolescents with type 1 diabetes regarding quality of life and metabolic control.
METHODS: We enrolled 193 children, 10-18 years of age (mean ± SD, 13.6 ± 2.7 years), with type 1 diabetes for 1.2-6 years (3.6 ± 2.4 years), body mass index of 23.2 ± 4.1 kg/m(2), insulin requirement of 0.7 ± 0.3 U/kg/day, and glycated hemoglobin (HbA1c) of 7.8 ± 1.1%, who participated in a weekly physician-moderated chat line for a 2-year follow-up period. Each patient completed the Diabetes Quality of Life for Youth Inventory (DQOLY) at baseline and after 1 and 2 years. A measure of glycemic control (HbA1c) was also collected. Data from 17 patients who discontinued using the chat line were not included in the analysis. As controls, 203 patients with type 1 diabetes, age- and sex-matched, with similar HbA1c at baseline and socioeconomic status, were randomly selected among 834 patients who refused to participate in the chat sessions.
RESULTS: DQOLY responses from youth with type 1 diabetes showed a significant improvement (P = 0.0001) only in patients who participated in chat sessions. We observed a decrease of 0.4% in HbA1c in patients who participated in chat session (7.8 ± 1.1% vs. 7.4 ± 0.5%, P < 0.0001) compared with the 0.1% of the controls (7.9 ± 1.9% vs. 7.8 ± 1.8%, P = 0.668). No difference was observed in HbA1c between the two groups (P = 0.056).
CONCLUSIONS: A chat line is also a cheap and effective tool that helps improve diabetes compliance. The chat line could help the diabetes team understand and treat their patients more comprehensively; moreover, it could help patients cope better with their daily life.

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Year:  2011        PMID: 21406010     DOI: 10.1089/dia.2010.0188

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  6 in total

1.  Modern insulins, old paradigms and pragmatism: choosing wisely when deciding how to treat type 1 diabetes.

Authors:  Beatriz D Schaan; Rafael Selbach Scheffel
Journal:  Diabetol Metab Syndr       Date:  2015-04-22       Impact factor: 3.320

Review 2.  Internet-based adherence interventions for treatment of chronic disorders in adolescents.

Authors:  Alexandria M Bass; Michael E Farhangian; Steven R Feldman
Journal:  Adolesc Health Med Ther       Date:  2015-06-26

3.  Patients' Use of Social Media for Diabetes Self-Care: Systematic Review.

Authors:  Abdelaziz Elnaggar; Van Ta Park; Sei J Lee; Melinda Bender; Lee Anne Siegmund; Linda G Park
Journal:  J Med Internet Res       Date:  2020-04-24       Impact factor: 5.428

Review 4.  Digital Health Services among Patients with Diabetes during the COVID-19 Pandemic: A Scoping Review.

Authors:  Ni K D Purnamayanti; Anggi L Wicaksana
Journal:  Indian J Endocrinol Metab       Date:  2021-09-08

5.  Technology-Based Peer Support Interventions for Adolescents with Chronic Illness: A Systematic Review.

Authors:  Patricia Berkanish; Samuel Pan; Adrienne Viola; Quinn Rademaker; Katie A Devine
Journal:  J Clin Psychol Med Settings       Date:  2022-02-11

6.  A mHealth Support Program for Australian Young Adults with Type 1 Diabetes: A Mixed Methods Study.

Authors:  Ashley H Ng; Timothy C Crowe; Kylie Ball; Bodil Rasmussen
Journal:  Digit Health       Date:  2019-10-15
  6 in total

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