Yoon Jeong Cha
ABSTRACT
Although child participation is required for successful Type 1 Diabetes (T1D) management, it is challenging because the child’s young age and immaturity make it difficult to perform self-care. Thus, parental caregivers are expected to be heavily involved in their child’s everyday illness management. Our study aims to investigate how children and parents collaborate to manage T1D and examine how the children become more independent in their self-management through the support of their parents. Through semi-structured interviews with children with T1D and their parents (N=41), our study showed that children’s knowledge of illness management and motivation for self-care were crucial for their transition towards independence. Based on these two factors, we identified four types of children’s collaboration (i.e., dependent, resistant, eager, and independent) and parents’ strategies for supporting their children’s independence. We suggest design implications for technologies to support collaborative care by improving children’s transition to independent illness management.
- Jori Aalders, Esther Hartman, Frans Pouwer, Per Winterdijk, Edgar van Mil, Angelique Roeleveld-Versteegh, Elke Mommertz-Mestrum, Henk-Jan Aanstoot, and Giesje Nefs. 2021. The division and transfer of care responsibilities in paediatric type 1 diabetes: A qualitative study on parental perspectives. J. Adv. Nurs. 77, 4 (April 2021), 1968–1979.Google Scholar
Cross Ref
- Christina Akre and Joan-Carles Suris. 2014. From controlling to letting go: what are the psychosocial needs of parents of adolescents with a chronic illness?Health Educ. Res. 29, 5 (Oct. 2014), 764–772.Google Scholar
- Dayna S Alexander, Susan L Hogan, Joanne M Jordan, Robert F DeVellis, and Delesha M Carpenter. 2017. Examining whether the information-motivation-behavioral skills model predicts medication adherence for patients with a rare disease. Patient Prefer. Adherence 11 (Jan. 2017), 75–83.Google Scholar
- Tawfiq Ammari and Sarita Schoenebeck. 2015. Networked Empowerment on Facebook Groups for Parents of Children with Special Needs. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 2805–2814.Google ScholarDigital Library
- Barbara Anderson, Joyce Ho, Julienne Brackett, Dianne Finkelstein, and Lori Laffel. 1997. Parental involvement in diabetes management tasks: relationships to blood glucose monitoring adherence and metabolic control in young adolescents with insulin-dependent diabetes mellitus. The Journal of pediatrics 130, 2 (1997), 257–265.Google ScholarCross Ref
- B J Anderson, W F Auslander, K C Jung, J P Miller, and J V Santiago. 1990. Assessing family sharing of diabetes responsibilities. J. Pediatr. Psychol. 15, 4 (Aug. 1990), 477–492.Google ScholarCross Ref
- Barbara J Anderson, L Vangsness, A Connell, D Butler, A Goebel-Fabbri, and LMB Laffel. 2002. Family conflict, adherence, and glycaemic control in youth with short duration type 1 diabetes. Diabetic medicine 19, 8 (2002), 635–642.Google Scholar
- J K Austin. 1990. Assessment of coping mechanisms used by parents and children with chronic illness. MCN Am. J. Matern. Child Nurs. 15, 2 (March 1990), 98–102.Google ScholarCross Ref
- Naama Barnea-Goraly, Mira Raman, Paul Mazaika, Matthew Marzelli, Tamara Hershey, Stuart A Weinzimer, Tandy Aye, Bruce Buckingham, Nelly Mauras, Neil H White, 2014. Alterations in white matter structure in young children with type 1 diabetes. Diabetes care 37, 2 (2014), 332–340.Google ScholarCross Ref
- D Baumrind. 1967. Child care practices anteceding three patterns of preschool behavior. Genet. Psychol. Monogr. 75, 1 (Feb. 1967), 43–88.Google Scholar
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77–101.Google Scholar
- Ayse G Buyuktur, Pei-Yao Hung, Mark W Newman, and Mark S Ackerman. 2018. Supporting Collaboratively Constructed Independence: A Study of Spinal Cord Injury. Proceedings of the ACM on Human-Computer Interaction 2, CSCW(2018), 1–25.Google ScholarDigital Library
- Fergus J Cameron, Shannon E Scratch, Caroline Nadebaum, Elisabeth A Northam, Ildiko Koves, Juliet Jennings, Kristina Finney, Jeffrey J Neil, R Mark Wellard, Mark Mackay, 2014. Neurological consequences of diabetic ketoacidosis at initial presentation of type 1 diabetes in a prospective cohort study of children. Diabetes care 37, 6 (2014), 1554–1562.Google ScholarCross Ref
- Gang Chen, Nilufar Baghaei, Abdolhossein Sarrafzadeh, Chris Manford, Steve Marshall, and Gudrun Court. 2011. Designing games to educate diabetic children. In Proceedings of the 23rd Australian Computer-Human Interaction Conference (Canberra, Australia) (OzCHI ’11). Association for Computing Machinery, New York, NY, USA, 72–75.Google ScholarDigital Library
- Yunan Chen, Victor Ngo, and Sun Young Park. 2013. Caring for caregivers: designing for integrality. In Proceedings of the 2013 conference on Computer supported cooperative work (San Antonio, Texas, USA) (CSCW ’13). Association for Computing Machinery, New York, NY, USA, 91–102.Google ScholarDigital Library
- Nancy F Cincotta. 2008. The journey of middle childhood. Developmental theories through the life cycle 2 (2008), 79–133.Google Scholar
- Imelda Coyne. 2008. Children’s participation in consultations and decision-making at health service level: a review of the literature. Int. J. Nurs. Stud. 45, 11 (Nov. 2008), 1682–1689.Google ScholarCross Ref
- I Coyne, A Amory, F Gibson, and G Kiernan. 2016. Information-sharing between healthcare professionals, parents and children with cancer: more than a matter of information exchange. Eur. J. Cancer Care 25, 1 (Jan. 2016), 141–156.Google ScholarCross Ref
- Jennifer Downing, Helena K Gleeson, Peter E Clayton, Julian R E Davis, Jerry K Wales, and Peter Callery. 2013. Transition in endocrinology: the challenge of maintaining continuity. Clin. Endocrinol. 78, 1 (Jan. 2013), 29–35.Google ScholarCross Ref
- Daniel A Epstein, Monica Caraway, Chuck Johnston, An Ping, James Fogarty, and Sean A Munson. 2016. Beyond Abandonment to Next Steps: Understanding and Designing for Life after Personal Informatics Tool Use. Proc SIGCHI Conf Hum Factor Comput Syst 2016 (May 2016), 1109–1113.Google ScholarDigital Library
- Anne L Ersig, Eva Tsalikian, Julie Coffey, and Janet K Williams. 2016. Stressors in Teens with Type 1 Diabetes and Their Parents: Immediate and Long-Term Implications for Transition to Self-Management. J. Pediatr. Nurs. 31, 4 (July 2016), 390–396.Google ScholarCross Ref
- William A Fisher, Jeffrey D Fisher, and Jennifer Harman. 2003. The information-motivation-behavioral skills model: A general social psychological approach to understanding and promoting health behavior. Social psychological foundations of health and illness 22 (2003), 82–106.Google Scholar
- Geraldine Fitzpatrick and Gunnar Ellingsen. 2013. A review of 25 years of CSCW research in healthcare: contributions, challenges and future agendas. Comput. Support. Coop. Work 22, 4 (2013), 609–665.Google ScholarDigital Library
- D S Follansbee. 1989. Assuming responsibility for diabetes management: what age? What price?Diabetes Educ. 15, 4 (July 1989), 347–353.Google Scholar
- P Fonagy, G S Moran, M K Lindsay, A B Kurtz, and R Brown. 1987. Psychological adjustment and diabetic control. Arch. Dis. Child. 62, 10 (Oct. 1987), 1009–1013.Google ScholarCross Ref
- R A Frank and D J Cohen. 1979. Psychosocial concomitants of biological maturation in preadolescence. Am. J. Psychiatry 136, 12 (Dec. 1979), 1518–1524.Google Scholar
- Dag Helge Frøisland, Eirik Årsand, and Finn Skårderud. 2012. Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study. Journal of medical Internet research 14, 4 (2012), e111.Google ScholarCross Ref
- Amelia Gibson and Samantha J Kaplan. 2015. “A family like ours”: Demographic variations in information seeking behavior and community participation among parents of individuals with autism spectrum disorder (ASD). Proceedings of the Association for Information Science and Technology 52, 1 (2015), 1–4.Google ScholarCross Ref
- Marie Glasemann, Anne Marie Kanstrup, and Thomas Ryberg. 2010. Making chocolate-covered broccoli: designing a mobile learning game about food for young people with diabetes. In Proceedings of the 8th ACM Conference on Designing Interactive Systems (Aarhus, Denmark) (DIS ’10). Association for Computing Machinery, New York, NY, USA, 262–271.Google ScholarDigital Library
- Kathleen M Hanna, Barbara Juarez, Shona Swenson Lenss, and Diana Guthrie. 2003. Parent-adolescent communication and support for diabetes management as reported by adolescents with type 1 diabetes. Issues Compr. Pediatr. Nurs. 26, 3 (July 2003), 145–158.Google ScholarCross Ref
- Linda Herbert, Victoria Owen, Lauren Pascarella, and Randi Streisand. 2013. Text message interventions for children and adolescents with type 1 diabetes: a systematic review. Diabetes Technol. Ther. 15, 5 (May 2013), 362–370.Google ScholarCross Ref
- Bree E Holtz, Katharine M Murray, Denise D Hershey, Julie K Dunneback, Shelia R Cotten, Amanda J Holmstrom, Arpita Vyas, Molly K Kaiser, and Michael A Wood. 2017. Developing a patient-centered mHealth app: a tool for adolescents with type 1 diabetes and their parents. JMIR mHealth and uHealth 5, 4 (2017), e53.Google Scholar
- Bree E Holtz, Katharine M Murray, Denise D Hershey, Joshua Richman, Julie K Dunneback, Arpita Vyas, and Michael A Wood. 2019. The design and development of MyT1DHero: A mobile app for adolescents with type 1 diabetes and their parents. J. Telemed. Telecare 25, 3 (April 2019), 172–180.Google ScholarCross Ref
- Hwajung Hong, Jennifer G Kim, Gregory D Abowd, and Rosa I Arriaga. 2012. Designing a social network to support the independence of young adults with autism. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. 627–636.Google ScholarDigital Library
- Matthew K Hong, Udaya Lakshmi, Kimberly Do, Sampath Prahalad, Thomas Olson, Rosa I Arriaga, and Lauren Wilcox. 2020. Using Diaries to Probe the Illness Experiences of Adolescent Patients and Parental Caregivers. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–16.Google ScholarDigital Library
- Juan Pablo Hourcade, Martha Driessnack, and Kelsey E Huebner. 2012. Supporting face-to-face communication between clinicians and children with chronic headaches through a zoomable multi-touch app. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 2609–2618.Google ScholarDigital Library
- Suzanne B Johnson, Janet Silverstein, Arlan Rosenbloom, Randy Carter, and Walter Cunningham. 1986. Assessing daily management in childhood diabetes. Health Psychol. 5, 6 (1986), 545–564.Google ScholarCross Ref
- Charalampos Kyfonidis and Marilyn Lennon. 2016. Mummy, Why Do I Have Diabetes? A Tangible Interface For Educating Children With Type-1 Diabetes. In Proceedings of the The 15th International Conference on Interaction Design and Children (Manchester, United Kingdom) (IDC ’16). Association for Computing Machinery, New York, NY, USA, 524–528.Google ScholarDigital Library
- Charalampos Kyfonidis and Marilyn Lennon. 2019. Making Diabetes Education Interactive: Tangible Educational Toys for Children with Type-1 Diabetes. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1–12.Google ScholarDigital Library
- A M La Greca, D J Follansbee, and J S Skyler. 1990. Developmental and behavioral aspects of diabetes in children and adolescents. Child. Health Care 19(1990), 132–139.Google ScholarCross Ref
- Lori M B Laffel, Laura Vangsness, Alexa Connell, Ann Goebel-Fabbri, Deborah Butler, and Barbara J Anderson. 2003. Impact of ambulatory, family-focused teamwork intervention on glycemic control in youth with type 1 diabetes. J. Pediatr. 142, 4 (April 2003), 409–416.Google ScholarCross Ref
- Susan A LaValley, Elizabeth A Gage-Bouchard, Michelle Mollica, and Lynda Beaupin. 2015. Examining social media use among parents of children with cancer. Proceedings of the Association for Information Science and Technology 52, 1 (2015), 1–3.Google ScholarCross Ref
- Gabriela Marcu, Anind K Dey, and Sara Kiesler. 2012. Parent-driven use of wearable cameras for autism support: a field study with families. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (Pittsburgh, Pennsylvania) (UbiComp ’12). Association for Computing Machinery, New York, NY, USA, 401–410.Google ScholarDigital Library
- WYLIE L McNABB, Michael T Quinn, Donna M Murphy, Frank K Thorp, and Sandy Cook. 1994. Increasing children’s responsibility for diabetes self-care: The In Control study. The Diabetes Educator 20, 2 (1994), 121–124.Google ScholarCross Ref
- Maureen Monaghan, Marisa Hilliard, Rachel Sweenie, and Kristin Riekert. 2013. Transition readiness in adolescents and emerging adults with diabetes: the role of patient-provider communication. Curr. Diab. Rep. 13, 6 (Dec. 2013), 900–908.Google ScholarCross Ref
- Lama Nachman, Amit Baxi, Sangeeta Bhattacharya, Vivek Darera, Piyush Deshpande, Nagaraju Kodalapura, Vincent Mageshkumar, Satish Rath, Junaith Shahabdeen, and Raviraja Acharya. 2010. Jog Falls: A Pervasive Healthcare Platform for Diabetes Management. In Pervasive Computing. Springer Berlin Heidelberg, 94–111.Google Scholar
- Ruth Nightingale, Gretl McHugh, Susan Kirk, and Veronica Swallow. 2019. Supporting children and young people to assume responsibility from their parents for the self-management of their long-term condition: An integrative review. Child Care Health Dev. 45, 2 (March 2019), 175–188.Google ScholarCross Ref
- Francisco Nunes and Geraldine Fitzpatrick. 2015. Self-Care Technologies and Collaboration. International Journal of Human–Computer Interaction 31, 12 (Dec. 2015), 869–881.Google ScholarCross Ref
- Chibuzo Odigwe. 2004. Children say they are not involved enough in their treatment. BMJ 328, 7440 (March 2004), 600.Google ScholarCross Ref
- Işil Oygür, Daniel A Epstein, and Yunan Chen. 2020. Raising the Responsible Child: Collaborative Work in the Use of Activity Trackers for Children. Proc. ACM Hum.-Comput. Interact. 4, CSCW2 (Oct. 2020), 1–23.Google ScholarDigital Library
- Debra L Palmer, Cynthia A Berg, Deborah J Wiebe, Ryan M Beveridge, Carolyn D Korbel, Renn Upchurch, Michael T Swinyard, Rob Lindsay, and David L Donaldson. 2004. The role of autonomy and pubertal status in understanding age differences in maternal involvement in diabetes responsibility across adolescence. J. Pediatr. Psychol. 29, 1 (Jan. 2004), 35–46.Google ScholarCross Ref
- Anne Peters, Lori Laffel, American Diabetes Association Transitions Working Group, and Others. 2011. Diabetes care for emerging adults: recommendations for transition from pediatric to adult diabetes care systems: a position statement of the American diabetes association, with representation by the American College of osteopathic family physicians, the American Academy of pediatrics, the American association of clinical endocrinologists, the American osteopathic association, the centers for disease control and prevention, children with diabetes, the endocrine Society, the International Society for pediatric and adolescent diabetes, juvenile diabetes research Foundation international, the National diabetes education program, and the pediatric endocrine Society (formerly Lawson Wilkins pediatric endocrine Society). Diabetes Care 34, 11 (2011), 2477–2485.Google Scholar
- Laura R Pina, Sang-Wha Sien, Clarissa Song, Teresa M Ward, James Fogarty, Sean A Munson, and Julie A Kientz. 2020. DreamCatcher: Exploring How Parents and School-Age Children Can Track and Review Sleep Information Together. Proc ACM Hum Comput Interact 4, CSCW1 (May 2020).Google ScholarDigital Library
- Laura R Pina, Sang-Wha Sien, Teresa Ward, Jason C Yip, Sean A Munson, James Fogarty, and Julie A Kientz. 2017. From Personal Informatics to Family Informatics: Understanding Family Practices around Health Monitoring. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW ’17). Association for Computing Machinery, New York, NY, USA, 2300–2315.Google ScholarDigital Library
- Anne Marie Piper, Raymundo Cornejo, Lisa Hurwitz, and Caitlin Unumb. 2016. Technological caregiving: Supporting online activity for adults with cognitive impairments. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 5311–5323.Google ScholarDigital Library
- Jill M Popp, Joann L Robinson, Preston A Britner, and Thomas O Blank. 2014. Parent adaptation and family functioning in relation to narratives of children with chronic illness. J. Pediatr. Nurs. 29, 1 (Jan. 2014), 58–64.Google ScholarCross Ref
- Shriti Raj, Joyce M Lee, Ashley Garrity, and Mark W Newman. 2019. Clinical Data in Context: Towards Sensemaking Tools for Interpreting Personal Health Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 1 (March 2019), 1–20.Google ScholarDigital Library
- Shriti Raj, Kelsey Toporski, Ashley Garrity, Joyce M Lee, and Mark W Newman. 2019. “My blood sugar is higher on the weekends”: Finding a Role for Context and Context-Awareness in the Design of Health Self-Management Technology. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19, Paper 119). Association for Computing Machinery, New York, NY, USA, 1–13.Google ScholarDigital Library
- Dixy Rajkumar, Deborah A Ellis, Dana K May, April Carcone, Sylvie Naar-King, Steven Ondersma, and Kathleen C Moltz. 2015. Computerized Intervention to Increase Motivation for Diabetes Self-Management in Adolescents with Type 1 Diabetes. Health Psychol Behav Med 3, 1 (Sept. 2015), 236–250.Google ScholarCross Ref
- Chokechai Rongkavilit, Sylvie Naar-King, Linda M Kaljee, Apirudee Panthong, Juline A Koken, Torsak Bunupuradah, and Jeffrey T Parsons. 2010. Applying the information-motivation-behavioral skills model in medication adherence among Thai youth living with HIV: a qualitative study. AIDS Patient Care STDS 24, 12 (Dec. 2010), 787–794.Google ScholarCross Ref
- Laurie Ruggiero, Russell Glasgow, Janet M Dryfoos, Joseph S Rossi, James O Prochaska, C Tracy Orleans, Alexander V Prokhorov, Susan R Rossi, Geoffrey W Greene, Gabrielle R Reed, 1997. Diabetes self-management: self-reported recommendations and patterns in a large population. Diabetes care 20, 4 (1997), 568–576.Google ScholarCross Ref
- Christopher L Schaefbauer, Danish U Khan, Amy Le, Garrett Sczechowski, and Katie A Siek. 2015. Snack Buddy: Supporting Healthy Snacking in Low Socioeconomic Status Families. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (Vancouver, BC, Canada) (CSCW ’15). Association for Computing Machinery, New York, NY, USA, 1045–1057.Google ScholarDigital Library
- Lynne S Schilling, Margaret Grey, and Kathleen A Knafl. 2002. The concept of self-management of type 1 diabetes in children and adolescents: an evolutionary concept analysis. J. Adv. Nurs. 37, 1 (Jan. 2002), 87–99.Google ScholarCross Ref
- Woosuk Seo, Andrew B L Berry, Prachi Bhagane, Sung Won Choi, Ayse G Buyuktur, and Sun Young Park. 2019. Balancing tensions between caregiving and parenting responsibilities in pediatric patient care. Proc. ACM Hum. Comput. Interact. 3, CSCW (Nov. 2019), 1–24.Google ScholarDigital Library
- Woosuk Seo, Ayse G Buyuktur, Sung Won Choi, Laura Sedig, and Sun Young Park. 2021. Challenges in the Parent-Child Communication of Health-related Information in Pediatric Cancer Care. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1(2021), 1–24.Google ScholarDigital Library
- Woosuk Seo, Ayse G Buyuktur, Sanya Verma, Hyeryoung Kim, Sung Won Choi, Laura Sedig, and Sun Young Park. 2021. Learning from Healthcare Providers’ Strategies: Designing Technology to Support Effective Child Patient-Provider Communication. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–15.Google ScholarDigital Library
- Ji Youn Shin and Bree Holtz. 2020. Identifying opportunities and challenges: how children use technologies for managing diabetes. In Proceedings of the Interaction Design and Children Conference (London, United Kingdom) (IDC ’20). Association for Computing Machinery, New York, NY, USA, 495–507.Google ScholarDigital Library
- Ji Youn Shin and Bree E Holtz. 2019. Towards Better Transitions for Children with Diabetes: User Experiences on a Mobile Health App. In Proceedings of the 18th ACM International Conference on Interaction Design and Children (Boise, ID, USA) (IDC ’19). Association for Computing Machinery, New York, NY, USA, 623–628.Google ScholarDigital Library
- Janet Silverstein, Georgeanna Klingensmith, Kenneth Copeland, Leslie Plotnick, Francine Kaufman, Lori Laffel, Larry Deeb, Margaret Grey, Barbara Anderson, Lea Ann Holzmeister, Nathaniel Clark, and American Diabetes Association. 2005. Care of children and adolescents with type 1 diabetes: a statement of the American Diabetes Association. Diabetes Care 28, 1 (Jan. 2005), 186–212.Google ScholarCross Ref
- J G Smetana. 1995. Parenting styles and conceptions of parental authority during adolescence. Child Dev. 66, 2 (April 1995), 299–316.Google ScholarCross Ref
- L Steinberg and S B Silverberg. 1986. The vicissitudes of autonomy in early adolescence. Child Dev. 57, 4 (Aug. 1986), 841–851.Google ScholarCross Ref
- Randi Streisand and Maureen Monaghan. 2014. Young children with type 1 diabetes: challenges, research, and future directions. Curr. Diab. Rep. 14, 9 (2014), 520.Google ScholarCross Ref
- Jessica T Markowitz, Katharine C Garvey, and Lori MB Laffel. 2015. Developmental changes in the roles of patients and families in type 1 diabetes management. Current diabetes reviews 11, 4 (2015), 231–238.Google Scholar
- Kiek Tates and Ludwien Meeuwesen. 2001. Doctor–parent–child communication. A (re) view of the literature. Social science & medicine 52, 6 (2001), 839–851.Google Scholar
- Matthieu Tixier and Myriam Lewkowicz. 2016. ” Counting on the Group” Reconciling Online and Offline Social Support among Older Informal Caregivers. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 3545–3558.Google ScholarDigital Library
- Tammy Toscos, Kay Connelly, and Yvonne Rogers. 2012. Best intentions: health monitoring technology and children. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI ’12). Association for Computing Machinery, New York, NY, USA, 1431–1440.Google ScholarDigital Library
- Damyanka Tsvyatkova and Cristiano Storni. 2014. Investigating issues related to pediatric diabetes education: problems and barriers. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (Oldenburg, Germany) (PervasiveHealth ’14). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), Brussels, BEL, 191–194.Google ScholarDigital Library
- Damyanka Tsvyatkova and Cristiano Storni. 2019. Designing an educational interactive eBook for newly diagnosed children with type 1 diabetes: Mapping a new design space. International Journal of Child-Computer Interaction 19 (March 2019), 1–18.Google ScholarCross Ref
- Marleen Van Bergeijk, Bart Hengeveld, and Selma Otto. 2017. DOK: Enhancing Child Patient Empowerment. In Proceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction (Yokohama, Japan) (TEI ’17). Association for Computing Machinery, New York, NY, USA, 589–595.Google ScholarDigital Library
- Deborah J Wiebe, Vicki Helgeson, and Cynthia A Berg. 2016. The social context of managing diabetes across the life span. Am. Psychol. 71, 7 (Oct. 2016), 526–538.Google ScholarCross Ref
- Mike Wu, Jeremy Birnholtz, Brian Richards, Ronald Baecker, and Mike Massimi. 2008. Collaborating to remember: a distributed cognition account of families coping with memory impairments. In Proceedings of the SIGCHI conference on human factors in computing systems. 825–834.Google ScholarDigital Library
- T Wysocki, A Taylor, B S Hough, T R Linscheid, K O Yeates, and J A Naglieri. 1996. Deviation from developmentally appropriate self-care autonomy. Association with diabetes outcomes. Diabetes Care 19, 2 (Feb. 1996), 119–125.Google ScholarCross Ref
- Bridget Young, Mary Dixon-Woods, Michelle Findlay, and David Heney. 2002. Parenting in a crisis: conceptualising mothers of children with cancer. Soc. Sci. Med. 55, 10 (Nov. 2002), 1835–1847.Google ScholarCross Ref
- Leehu Zysberg and Tali Lang. 2015. Supporting parents of children with type 1 diabetes mellitus: a literature review. PI 7 (Oct. 2015), 21–31.Google Scholar
Index Terms
- Transitioning Toward Independence: Enhancing Collaborative Self-Management of Children with Type 1 Diabetes
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