Background: Individuals with intellectual disability (ID) experience substantial inequalities and barriers accessing health care despite requiring constant accessibility to healthcare providers as they are more likely to die from avoidable causes of death than those without ID. Telehealth technologies have the capacity to improve access to health providers and health information and could greatly reduce morbidity and mortality rates in people with ID. This study aims to explore the use of mobile health technology in the medical management of adults with intellectual disability. Methodology: PubMed, IEEE Explore, ACM, and Scopus databases were examined to extract peer-reviewed articles published from January 2000 to January 2022. Original research, published in English and focused on the use of telehealth technologies in the medical management of intellectual disability were deemed eligible. A narrative synthesis of the results was completed, structured around the characteristics of telehealth technologies used and the outcomes of the studies. Results: Thirteen of 1008 reviewed articles were considered eligible for inclusion. Most of the studies used videoconferencing platforms for real-time telehealth, while others focused on symptom or medication monitoring applications. The evidence supports the feasibility, potential effectiveness and satisfaction of using telehealth to manage intellectual disability among adults despite accessibility issues including poor internet connectivity and poor knowledge of technology which may limit its use. Conclusion: The use of telehealth was feasible, acceptable and potentially effective for the management of ID among adults though the varied methodology of included studies maybe inadequate. A more structured methodology will be useful in future studies.
Shawler LA, Clayborne JC, Nasca B, O’Connor JT. An intensive telehealth assessment and treatment model for an adult with developmental disabilities. Research in Developmental Disabilities. 2021;111:103876.
3.
Thang T, Liang A, Choi Y, Parrales A, Kuang SH, Kurniawan S, et al. Providing and Accessing Support During the COVID-19 Pandemic: Experiences of Mental Health Professionals, Community and Vocational Support Providers, and Adults with ASD. Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility. 2021. p. 1–6.
4.
Gosens LCF, Otten R, de Jonge JM, Schellekens AFA, VanDerNagel JEL, Didden R, et al. Development of a personalised substance use disorder treatment for people with mild intellectual disabilities or borderline intellectual functioning: An intervention mapping approach. Journal of Intellectual & Developmental Disability. 2022;47(2):131–40.
5.
Johnsson G, Bulkeley K. Practitioner and Service User Perspectives on the Rapid Shift to Teletherapy for Individuals on the Autism Spectrum as a Result of COVID-19. International Journal of Environmental Research and Public Health. 18(22):11812.
6.
Nohelty K, Bradford CB, Hirschfeld L, Miyake C, Novack MN. Effectiveness of Telehealth Direct Therapy for Individuals with Autism Spectrum Disorder. Behavior Analysis in Practice. 2022;15(3):643–58.
7.
Høye H, Jahnsen RB, Løvstad M, Hartveit JF, Sørli H, Tornås S, et al. A Mindfulness-Based Stress Reduction Program via Group Video Conferencing for Adults With Cerebral Palsy – A Pilot Study. Frontiers in Neurology. 11.
8.
Bangerter A, Manyakov NV, Lewin D, Boice M, Skalkin A, Jagannatha S, et al. Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps. JMIR Mental Health. 6(3):e11365.
9.
Salgado TM, Fedrigon A, Riccio Omichinski D, Meade MA, Farris KB. Identifying Medication Management Smartphone App Features Suitable for Young Adults With Developmental Disabilities: Delphi Consensus Study. JMIR mHealth and uHealth. 6(5):e129.
10.
Hepburn SL, Blakeley-Smith A, Wolff B, Reaven JA. Telehealth delivery of cognitive-behavioral intervention to youth with autism spectrum disorder and anxiety: A pilot study. Autism. 2016;20(2):207–18.
11.
Sutherland R, Trembath D, Roberts J. Telehealth and autism: A systematic search and review of the literature. International Journal of Speech-Language Pathology. 2018;20(3):324–36.
12.
Ellison KS, Guidry J, Picou P, Adenuga P, Davis TE. Telehealth and Autism Prior to and in the Age of COVID-19: A Systematic and Critical Review of the Last Decade. Clinical Child and Family Psychology Review. 2021;24(3):599–630.
13.
Johnsson G, Kerslake R, Crook S, Cribb C. Investigation of training and support needs in rural and remote disability and mainstream service providers: implications for an online training model. Australian Health Review. 2017;41(6):693.
14.
Mechanic OJ, Persaud Y, Kimball AB. Telehealth systems [Internet. 2021;
15.
Harris L, Gilmore D, Hanks C, Coury D, Moffatt-Bruce S, Garvin JH, et al. “It was surprisingly equivalent to the appointment I had in person”: Advantages and disadvantages of synchronous telehealth for delivering primary care for autistic adults. Autism. 2022;26(6):1573–80.
16.
Neville CW. Telehealth: A Balanced Look at Incorporating This Technology Into Practice. SAGE Open Nursing. 2018;4.
17.
Hollander JE, Carr BG. Virtually Perfect? Telemedicine for Covid-19. New England Journal of Medicine. 2020;382(18):1679–81.
18.
Gosens LCF, Otten R, Didden R, Poelen EAP. Evaluating a personalized treatment for substance use disorder in people with mild intellectual disability or borderline intellectual functioning: A study protocol of a multiple baseline across individuals design. Contemporary Clinical Trials Communications. 2020;19:100616.
19.
Hoddinott P, Pollock A, O’Cathain A, Boyer I, Taylor J, MacDonald C, et al. How to incorporate patient and public perspectives into the design and conduct of research. F1000Research. 7:752.
20.
Modigh A, Sampaio F, Moberg L, Fredriksson M. The impact of patient and public involvement in health research versus healthcare: A scoping review of reviews. Health Policy. 2021;125(9):1208–21.
21.
Williams V. Evidence-based practice and intellectual disabilities and Psychological therapies for adults with intellectual disabilities. Disability & Society. 2015;30(4):662–7.
22.
Krysta K, Romańczyk M, Diefenbacher A, Krzystanek M. Telemedicine Treatment and Care for Patients with Intellectual Disability. International Journal of Environmental Research and Public Health. 18(4):1746.
23.
Boisvert M, Lang R, Andrianopoulos M, Boscardin ML. Telepractice in the assessment and treatment of individuals with autism spectrum disorders: A systematic review. Developmental Neurorehabilitation. 2010;13(6):423–32.
24.
Gibson AN, Bowen K. Developmental Personal Health Libraries. The 21st International ACM SIGACCESS Conference on Computers and Accessibility. 2019. p. 627–9.
25.
Oudshoorn CEM, Frielink N, Nijs SLP, Embregts PJCM. Psychological eHealth interventions for people with intellectual disabilities: A scoping review. Journal of Applied Research in Intellectual Disabilities. 2021;34(4):950–72.
26.
Becevic M, Boren S, Mutrux R, Shah Z, Banerjee S. User Satisfaction With Telehealth. The Health Care Manager. 2015;34(4):337–49.
27.
Drum KB, Littleton HL. Therapeutic boundaries in telepsychology: Unique issues and best practice recommendations. Professional Psychology: Research and Practice. 45(5):309–15.
28.
Almeida R, Bourliataux-Lajoinie S, Martins M. Satisfaction measurement instruments for healthcare service users: a systematic review. Cad Saúde Pública. 2021;37(9).
29.
Trollor J, Srasuebkul P, Xu H, Howlett S. Cause of death and potentially avoidable deaths in Australian adults with intellectual disability using retrospective linked data. BMJ Open. 2017;7(2):e013489.
30.
Schalock RL, Luckasson R, Tassé MJ. Intellectual disability: definition, diagnosis, classification, and systems of supports [Internet. AAIDD. 2021;
31.
Schaepper MA, Hauser M, Kragadkar F. What is intellectual disability? 2021;
32.
Maulik PK, Mascarenhas MN, Mathers CD, Dua T, Saxena S. Prevalence of intellectual disability: A meta-analysis of population-based studies. Research in Developmental Disabilities. 2011;32(2):419–36.
33.
McKenzie K, Milton M, Smith G, Ouellette-Kuntz H. Systematic Review of the Prevalence and Incidence of Intellectual Disabilities: Current Trends and Issues. Current Developmental Disorders Reports. 2016;3(2):104–15.
34.
Eilfen J. Developmental disability prevalence in U.S. children by condition 2015–2018. Statista. 2020;
35.
Office CS. Types of disability. Census of population 2016—profile 9 health, disability and carers [Internet. 2016;
36.
Singh U, Sweta S, B. Effect of opioid-free anaesthesia on perioperative period: a review. Int J Cogn Behav. 2020;3(1):10 23937 2690-3172 1710005.
37.
Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Medical Journal. 2017;38(12):1173–80.
38.
健康應用程式在慢性疾病自我管理的應用. 護理雜誌. 64(4).
39.
Debon R, Coleone JD, Bellei EA, De Marchi ACB. Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2019;13(4):2507–12.
40.
Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. Journal of Medical Internet Research. 18(5):e97.
41.
Sandjojo J, Eltringham EG, Gebhardt WA, Zedlitz AMEE, Embregts PJCM, Evers AWM. Self-management interventions for people with intellectual disabilities: A systematic review. Patient Education and Counseling. 2020;103(10):1983–96.
42.
O’Leary L, Cooper S, Hughes‐McCormack L. Early death and causes of death of people with intellectual disabilities: A systematic review. Journal of Applied Research in Intellectual Disabilities. 2018;31(3):325–42.
43.
W.H.O. Definition: intellectual disability [Internet. World Health Organization Regional Office for Europe. 2010;
44.
Grant Report on mCARE: Mobile-Based Care for Children with Autism Spectrum Disorder (ASD) for Low- and Middle-Income Countries (LMICs). Journal of Psychiatry and Brain Science. 2021;
45.
Rehman IU, Sobnath D, Nasralla MM, Winnett M, Anwar A, Asif W, et al. Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI. Diagnostics. 11(10):1923.
46.
Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Information & Libraries Journal. 2009;26(2):91–108.
47.
Haidich AB. Meta-analysis in medical research. Hippokratia. 2010;14(Suppl 1):29–37.
48.
Levay P, Raynor M, Tuvey D. The Contributions of MEDLINE, Other Bibliographic Databases and Various Search Techniques to NICE Public Health Guidance. Evidence Based Library and Information Practice. 10(1):50–68.
49.
Zheng MH, Zhang X, Ye Q, Chen YP. Searching Additional Databases Except PubMed Are Necessary for a Systematic Review. Stroke. 2008;39(8).
50.
Tricco AC, Lillie E, Zarin W. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):10 7326 18-0850.
51.
Gusenbauer M, Haddaway NR. Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research Synthesis Methods. 2020;11(2):181–217.
52.
Bramer WM, De Jonge GB, Rethlefsen ML, Mast F, Kleijnen J. A systematic approach to searching: an efficient and complete method to develop literature searches. Journal of the Medical Library Association. 106(4).
53.
Campbell M, McKenzie JE, Sowden A, Katikireddi SV, Brennan SE, Ellis S, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. :l6890.
54.
Adamou M, Jones SL, Fullen T, Galab N, Abbott K, Yasmeen S. Remote assessment in adults with Autism or ADHD: A service user satisfaction survey. PLOS ONE. 16(3):e0249237.
55.
Colin Gibson R, Dunlop M. Evaluating the Usability of a Tablet Application to Support Adults with Mild Intellectual Disabilities during Primary Care Consultations. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 2021. p. 1–7.
56.
Ferrucci F, Jorio M, Marci S, Bezenchek A, Diella G, Nulli C, et al. A Web-Based Application for Complex Health Care Populations: User-Centered Design Approach. JMIR Human Factors. 8(1):e18587.
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