Impact of technology-based interventions for children and young people with type 1 diabetes on key diabetes self-management behaviours and prerequisites: a systematic review

Emily C L Knox, Helen Quirk, Cris Glazebrook, Tabitha Randell, Holly Blake, Emily C L Knox, Helen Quirk, Cris Glazebrook, Tabitha Randell, Holly Blake

Abstract

Background: The role of technology in the self-management of type 1 diabetes mellitus (T1DM) among children and young people is not well understood. Interventions should aim to improve key diabetes self-management behaviours (self-management of blood glucose, insulin administration, physical activity and dietary behaviours) and prerequisites (psychological outcomes and HbA1c) highlighted in the UK guidelines of the National Institute for Health and Care Excellence (NICE) for management of T1DM. The purpose was to identify evidence to assess the effectiveness of technological tools in promoting aspects of these guidelines amongst children and young people.

Methods: A systematic review of English language articles was conducted using the following databases: Web of Science, PubMed, Scopus, NUSearch, SAGE Journals, SpringerLink, Google Scholar, Science Direct, Sport Discus, Embase, Psychinfo and Cochrane Trials. Search terms included paediatric, type one diabetes, technology, intervention and various synonyms. Included studies examined interventions which supplemented usual care with a health care strategy primarily delivered through a technology-based medium (e.g. mobile phone, website, activity monitor) with the aim of engaging children and young people with T1DM directly in their diabetes healthcare. Studies did not need to include a comparator condition and could be randomised, non-randomised or cohort studies but not single-case studies.

Results: Of 30 included studies (21 RCTs), the majority measured self-monitoring of blood glucose monitoring (SMBG) frequency, clinical indicators of diabetes self-management (e.g. HbA1c) and/or psychological or cognitive outcomes. The most positive findings were associated with technology-based health interventions targeting SMBG as a behavioural outcome, with some benefits found for clinical and/or psychological diabetes self-management outcomes. Technological interventions were well accepted by children and young people. For the majority of included outcomes, clinical relevance was deemed to be little or none.

Conclusions: More research is required to assess which elements of interventions are most likely to produce beneficial behavioural outcomes. To produce clinically relevant outcomes, interventions may need to be delivered for at least 1 year and should consider targeting individuals with poorly managed diabetes. It is not possible to determine the impact of technology-based interventions on insulin administration, dietary habits and/or physical activity behaviour due to lack of evidence.

Keywords: Child and young people; Health; Intervention; Self-management; Technology; Type one diabetes mellitus.

Conflict of interest statement

Ethics approval and consent to participate

All reviewed studies received ethical approval from a relevant ethics committee and consent from included participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Search Process

References

    1. Diabetes UK. Facts and stats: prevalence of diabetes. London. 2016. 10.1007/s11245-009-9073-4.
    1. National Institute for Health and Care Excellence . Diabetes (type 1 and type 2) in children and young people: diagnosis and management. London: NICE; 2015.
    1. Young MT, Lord JH, Patel NJ, Gruhn MA, Jaser SS. Good cop, bad cop: quality of parental involvement in type 1 diabetes management in youth. Curr Diab Rep. 2014;14:546–557. doi: 10.1007/s11892-014-0546-5.
    1. Blake H, Roberts A, Stanulewicz N. Telemedicine and mHealth interventions for children and young people with type one diabetes (T1DM) J Endocrinol Diabetes. 2015;1:100104.
    1. Barnaba B, Burr MS. The role of mobile phones in adolescent T1DM: a review of the literature. J Pediatr Nurs. 2014;29:387–389. doi: 10.1016/j.pedn.2014.04.009.
    1. Markowitz J, Harrington K, Laffel L. Technology to optimize pediatric diabetes management and outcomes. Curr Diab Rep. 2013;13:877–885. doi: 10.1007/s11892-013-0419-3.
    1. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6:e1000100. doi: 10.1371/journal.pmed.1000100.
    1. Jennison HM, Coleman AB, Feiertag RB, Kugel RB, Forsyth WB, Rinker A, et al. Age limits of pediatrics. Pediatrics. 1972;49:463–465.
    1. Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, et al. Guidance on the conduct of narrative synthesis in systematic reviews: A product from the ESRC methods programme. 2006. 10.13140/2.1.1018.4643.
    1. Higgins JP, Altman DG. Assessing risk bias in included studies. In: Higgins J, Green S, editors. Cochrane handbook for systematic reviews of interventions. 5.1.0. London: Wiley-Blackwell; 2018. pp. 187–243.
    1. Sterne J, Hernán M, Reeves B, Savović J, Berkman N, Viswanathan M, et al. Risk of bias in non-randomized studies of interventions (ROBINS-I): detailed guidance. BMJ. 2016;355 . Accessed 30 Dec 2018.
    1. Goyal S, Nunn C, Rotondi M, Couperthwaite A, Reiser S, Simone A. A mobile app for the self management of type 1 diabetes among adolescents: a randomized controlled trial. JMIR mHealth uHealth. 2017;5:e82. doi: 10.2196/mhealth.7336.
    1. Raiff BR, Barrry VB, Ridenour TA, Jitnarin N. Internet-based incentives increase blood glucose testing with a non-adherent, diverse sample of teens with type 1 diabetes mellitus: a randomized controlled trial. Transl Behav Med. 2016;6:179–188. doi: 10.1007/s13142-016-0397-5.
    1. Schiaffini R, Tagliente I, Carducci C, Ullmann N, Ciampalini P, Lorubbio A, et al. Impact of long-term use of eHealth systems in adolescents with type 1 diabetes treated with sensor-augmented pump therapy. J Telemed Telecare. 2016;22:277–281. doi: 10.1177/1357633X15598425.
    1. Whittemore R, Liberti LS, Jeon S, Chao A, Minges KE, Murphy K, et al. Efficacy and implementation of an internet psychoeducational program for teens with type 1 diabetes. Pediatr Diabetes. 2016;17:567–575. doi: 10.1111/pedi.12338.
    1. Harris MA, Freeman KA, Duke DC. Seeing is believing: using skype to improve diabetes outcomes in youth. Diabetes Care. 2015;38:1427–1434. doi: 10.2337/dc14-2469.
    1. Landau Z, Mazor-Aronovitch K, Boaz M, Blaychfeld-Magnazi M, Graph-Barel C, Levek-Motola N, et al. The effectiveness of internet-based blood glucose monitoring system on improving diabetes control in adolescents with type 1 diabetes. Pediatr Diabetes. 2012;13:203–207. doi: 10.1111/j.1399-5448.2011.00800.x.
    1. Whittemore R, Jaser SS, Jeon S, Liberti L, Delamater A, Murphy K, et al. An internet coping skills training program for youth with type 1 diabetes: six-month outcomes. Nurs Res. 2012;61:395–404. doi: 10.1097/NNR.0b013e3182690a29.
    1. Lehmkuhl HD, Storch EA, Cammarata C, Meyer K, Rahman O, Silverstein J, et al. Telehealth behavior therapy for the management of type 1 diabetes in adolescents. J Diabetes Sci Technol. 2010;4:199–208. doi: 10.1177/193229681000400125.
    1. Nordfeldt S, Johansson C, Carlsson E, Hammersjö JÅ. Persistent effects of a pedagogical device targeted at prevention of severe hypoglycaemia: a randomized, controlled study. Acta Paediatr Int J Paediatr. 2005;94:1395–1401. doi: 10.1080/08035250510039874.
    1. Clements MA. Staggs VS. A mobile app for synchronizing glucometer data. J Diabetes Sci Technol. 2017;11:461–467. doi: 10.1177/1932296817691302..
    1. Dyal N, McAssey K, Agarwal G. Evaluation of a computerized self-management tool for children with type 1 diabetes: a pilot project. Can J Diabetes. 2017;41:124–128. doi: 10.1016/j.jcjd.2016.09.021.
    1. Giani E, Snelgrove R, Volkening LK, Laffel LM. Continuous glucose monitoring (CGM) adherence in youth with type 1 diabetes. J Diabetes Sci Technol. 2016;11:476–483. doi: 10.1177/1932296816676280..
    1. Herbert LJ, Collier S, Stern A, Monaghan M, Streisand R. A pilot test of the self-management and research technology project. J Child Heal Care. 2016;20:456–463. doi: 10.1177/1367493515603829.
    1. Rachmiel M, Landau Z, Boaz M, Mazor Aronovitch K, Loewenthal N, Ben-Ami M, et al. The use of continuous glucose monitoring systems in a pediatric population with type 1 diabetes mellitus in real-life settings: the AWeSoMe study group experience. Acta Diabetol. 2015;52:323–329. doi: 10.1007/s00592-014-0643-6.
    1. Mulvaney S, Rothman RL, Dietrich MS, Wallston KA, Grove E, Elasy TA, et al. Using mobile phones to measure adolescent diabetes adherence. Health Psychol. 2012;31:43–50. doi: 10.1037/a0025543.
    1. Newton K, Wiltshire E, Raina Elley C. Pedometers and text messaging to increase physical activity. Diabetes Care. 2009;32:813–815. doi: 10.2337/dc08-1974.
    1. Kowalska A, Piechowiak K, Ramotowska A, Szypowska A. Impact of ELKa, the electronic device for prandial insulin dose calculation, on metabolic control in children and adolescents with type 1 diabetes mellitus: a randomized controlled trial. J Diabetes Res. 2017;2017:9. Article ID 1708148. 10.1155/2017/1708148.
    1. Han Y, Faulkner MS, Fritz H, Fadoju D, Muir A, Abowd GD, et al. A pilot randomized trial of text-messaging for symptom awareness and diabetes knowledge in adolescents with type 1 diabetes. J Pediatr Nurs. 2015;30:850–861. doi: 10.1016/j.pedn.2015.02.002.
    1. Berndt R-D, Takenga C, Preik P, Kuehn S, Berndt L, Mayer H, et al. Impact of information technology on the therapy of type-1 diabetes: a case study of children and adolescents in Germany. J Pers Med. 2014;4:200–217. doi: 10.3390/jpm4020200.
    1. Boogerd EA, Noordam C, Kremer JA, Prins JB, Verhaak CM. Teaming up: feasibility of an online treatment environment for adolescents with type 1 diabetes. Pediatr Diabetes. 2013;15:394–402. doi: 10.1111/pedi.12103.
    1. Mulvaney S, Rothman R, Wallston K, Lybarger C, Dietrich M. An internet-based program to improve self-management in adolescents with type 1 diabetes. Diabetes Care. 2010;33:602–604. doi: 10.2337/dc09-1881.
    1. Whittemore R, Grey M, Lindemann E, Ambrosino J, Jaser S. Development of an internet coping skills training program for teenagers with type 1 diabetes. Comput Inform Nurs. 2010;28:103–111. doi: 10.1097/NCN.0b013e3181cd8199.
    1. Franklin VL, Waller A, Pagliari C, Greene SA. A randomized controlled trial of sweet talk, a text-messaging system to support young people with diabetes. Diabet Med. 2006;23:1332–1338. doi: 10.1111/j.1464-5491.2006.01989.x.
    1. Nunn E, King B, Smart C, Anderson D. A randomized controlled trial of telephone calls to young patients with poorly controlled type 1 diabetes. Pediatr Diabetes. 2006;7:254–259. doi: 10.1111/j.1399-5448.2006.00200.x.
    1. Rami B, Popow C, Horn W, Waldhoer T, Schober E. Telemedical support to improve glycemic control in adolescents with type 1 diabetes mellitus. Eur J Pediatr. 2006;165:701–705. doi: 10.1007/s00431-006-0156-6.
    1. Nordfeldt S, Johansson C, Carlsson E, Hammersjö JÅ. Prevention of severe hypoglycaemia in type I diabetes: a randomised controlled population study. Arch Dis Child. 2003;88:240–245. doi: 10.1136/adc.88.3.240..
    1. Frøisland DH, Årsand E, Skårderud F. Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study. J Med Internet Res. 2012;14:541–548. doi: 10.2196/jmir.2155.
    1. Mulvaney S, Anders S, Smith AK, Pittel EJ, Johnson KB. A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents. J Telemed Telecare. 2012;18:115–118. doi: 10.1258/jtt.2011.111006.
    1. Pinsker JE, Nguyen C, Young S, Fredericks GJ, Chan D. A pilot project for improving paediatric diabetes outcomes using a website: the pediatric Diabetes education portal. J Telemed Telecare. 2011;17:226–230. doi: 10.1258/jtt.2010.100812.
    1. Freeman KA, Duke DC, Harris MA. Behavioral health care for adolescents with poorly controlled diabetes via skype: does working alliance remain intact? J Diabetes Sci Technol. 2013;7:727–735. doi: 10.1177/193229681300700318.
    1. Henkemans OAB, Bierman BPB, Janssen J, Looije R, Neerincx MA, van Dooren MMM, et al. Design and evaluation of a personal robot playing a self-management education game with children with diabetes type 1. Int J Hum Comput Stud. 2017;106:63–76. doi: 10.1016/j.ijhcs.2017.06.001.
    1. Silverstein J, Klingensmith G, Copeland K, Plotnick L, Kaufman F, Laffel L, et al. Care of children and adolescents with type 1 diabetes: a statement of the American Diabetes Association. Diabetes Care. 2005;28:186–212. doi: 10.2337/diacare.28.1.186.
    1. Quirk H, Blake H, Tennyson R, Randell TL, Glazebrook C. Physical activity interventions in children and young people with type 1 diabetes mellitus: a systematic review with meta-analysis. Diabet Med. 2014;31:1163–1173. doi: 10.1111/dme.12531.
    1. Ziegler R, Heidtmann B, Hilgard D, Hofer S, Rosenbauer J, Holl R. Frequency of SMBG correlates with HbA1c and acute complications in children and adolescents with type 1 diabetes. Pediatr Diabetes. 2011;12:11–17. doi: 10.1111/j.1399-5448.2010.00650.x.
    1. Charalampopoulos D, Hesketh KR, Amin R, Paes VM, Viner RM, Stephenson T. Psycho-educational interventions for children and young people with type 1 diabetes in the UK: how effective are they? A systematic review and meta-analysis. PLoS One. 2017;12:e0179685. doi: 10.1371/journal.pone.0179685.
    1. Helgeson VS, Reynolds KA, Siminerio LM, Becker DJ, Escobar O. Cognitive adaptation theory as a predictor of adjustment to emerging adulthood for youth with and without type 1 diabetes. J Psychosom Res. 2014;77:484–491. doi: 10.1016/j.jpsychores.2014.09.013.
    1. Hackworth NJ, Hamilton VE, Moore SM, Northam EA, Bucalo Z, Cameron FJ. Predictors of diabetes self-care, metabolic control, and mental health in youth with type 1 diabetes. Aust Psychol. 2013;48:360–369.
    1. Clark N, Rosenstock I, Hassan H, Evans D, Wasilewski Y, Feldman C, et al. The effect of health beliefs and feelings of self efficacy on self management behavior of children with a chronic disease. Patient Educ Couns. 1988;11:131–139. doi: 10.1016/0738-3991(88)90045-6.
    1. Kipps S, Bahu T, Ong K, Ackland FM, Brown RS, Fox CT, et al. Current methods of transfer of young people with type 1 diabetes to adult services. Diabet Med. 2002;19:649–654. doi: 10.1046/j.1464-5491.2002.00757.x.
    1. Petry NM, Cengiz E, Wagner JA, Weyman K, Tichy E, Tamborlane WV. Testing for rewards: a pilot study to improve type 1 diabetes management in adolescents. Diabetes Care. 2015;38:1952–1954. doi: 10.2337/dc15-0765.
    1. Schweiger B, Klingensmith G, Snell-Bergeon JK. Physical activity in adolescent females with type 1 diabetes. Int J Pediatr. 2010:1–6. 10.1155/2010/328318.
    1. Dwan K, Altman DG, Arnaiz JA, Bloom J, Chan AW, Cronin E, et al. Systematic review of the empirical evidence of study publication bias and outcome reporting bias. PLoS One. 2008;3:e3081. doi: 10.1371/journal.pone.0003081.

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