| Literature DB >> 35743364 |
Alessandra Gabellone1, Lucia Marzulli1, Emilia Matera2, Maria Giuseppina Petruzzelli1, Anna Margari3, Orazio Valerio Giannico4, Lucia Margari1.
Abstract
Telemedicine has recently been used for diagnosis and interventions inpatients with autism spectrum disorder (ASD), traditionally performed in-person, but little attention has been paid to user expectations prior to its use. The aim of this study is to compare the expectations and concerns of 50 healthcare professionals and 45 parents of children with ASD regarding the use of telemedicine for diagnostic or treatment purposes. Parents have higher expectations for the use of telemedicine as an alternative (p = 0.0223) and supplement (p = 0.0061) to in-person diagnosis of ASD, as well as a supplement to traditional intervention (p ≤ 0.0001). In addition, while they also have greater hope for improvement in family routines (p = 0.0034) and parenting skills in child management (p = 0.0147), they express greater concern about the need for active parental involvement/supervision during telemedicine services (p = 0.015) and changes in the behaviour of the child with ASD during telemedicine services (p = 0.049). On the other hand, healthcare professionals are more concerned about barriers such as lack of devices (p = 0.000), unfamiliarity with the technology (p = 0.000), poor quality of internet connection (p = 0.006), and severity of ASD (p = 0.000). To achieve promising healthcare for ASD patients, the telemedicine service should try to meet the needs and preferences of both healthcare professionals and parents, as well as identify and, if possible, reduce perceived barriers.Entities:
Keywords: autism spectrum disorder; barrier; benefit; concern; expectation; healthcare professional; parent; telehealth; telemedicine
Year: 2022 PMID: 35743364 PMCID: PMC9224762 DOI: 10.3390/jcm11123294
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.964
Figure 1Workflow of the study. TEQ = Telemedicine Expectations Questionnaire.
Respondents’ characteristics. ASD—autism spectrum disorder.
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| 3 (6%) |
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| White | 50 (100%) |
| Black | 0 (0%) |
| Others | 0 (0%) |
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| Child neuropsychiatrist | 41 (82%) |
| Psychologists | 6 (12%) |
| Speech therapists | 2 (4%) |
| Professional educators | 1 (2%) |
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| 1–5 | 27 (54%) |
| 6–10 | 12 (24%) |
| 11–20 | 7 (14%) |
| >20 | 4 (8%) |
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| 13 (29%) |
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| Married | 42 (94%) |
| Single | 0 (0%) |
| Divorced | 1 (2%) |
| Separeted | 2 (4%) |
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| White | 45 (100%) |
| Black | 0 (0%) |
| Others | 0 (0%) |
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| <5 | 16 (36%) |
| 6–10 | 20 (44%) |
| 11–15 | 5 (11%) |
| 16–18 | 4 (9%) |
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| 37 (82%) |
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| White | 45 (100%) |
| Black | 0 (0%) |
| Others | 0 (0%) |
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| 1 | 32(71%) |
| 2 | 7 (16%) |
| 3 | 6 (13%) |
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| None | 35 (78%) |
| Antipsychotics | 7 (15%) |
| Antidepressants | 1 (2%) |
| Antiepileptics | 3 (7%) |
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| None | 11 (24%) |
| Psychomotor therapy | 9 (20%) |
| Speech therapy | 11 (25%) |
| Cognitive–behavioural therapy | 17 (38%) |
| Psychotherapy | 4 (9%) |
Results of Wilcoxon Rank Sum Test for the comparison of parents’ and professionals’ answers on the first section of Telemedicine Expectations Questionnaire: expectations on the uses and potential benefits of telemedicine.
| Statement | Parents | HP | ||||
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| Mean | Median | Mean | Median (IQR) | |||
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Telemedicine is a useful tool for diagnosing ASD | 2.98 (0.94) | 3 (2–4) * | 3.4 (0.76) | 3 (3–4) |
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Telemedicine is a useful tool for treating ASD | 3.09 (0.97) | 3 (2–4) | 3.32 (0.87) | 3 (3–4) | 0.2104 | |
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Telemedicine is a useful tool for communicating diagnoses or providing recommendations to families | 1.93 (0.96) | 2 (1–3) | 2.26 (0.90) | 2 (2–3) | 0.0598 | |
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Telemedicine is a useful integration into traditional face-to-face diagnosis | 2.11 (1.21) | 2 (1–3) * | 2.62 (0.83) | 3 (2–3) |
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Telemedicine is a useful integration into traditional face-to-face treatment | 2.13 (1.10) | 2 (1–3) * | 2.84 (0.93) | 3 (2–4) |
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I am willing to use telemedicine as a routine tool for the diagnosis of ASD | 2.98 (1.18) | 3 (2–4) | 2.98 (1.33) | 3 (2–4) | 0.9509 | |
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I am willing to use telemedicine as a routine tool for the treatment ofASD | 3.09 (1.08) | 3 (2–4) | 2.36 (1.17) | 2 (1–3) * |
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I am willing to use telemedicine for the diagnosis and treatment of ASD only in emergency situations | 1.69 (1.18) | 1 (1–2) | 1.82 (1.22) | 1 (1–2) | 0.4588 | |
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| 20 (7.41) | 19 | 21.6 (6.21) | 22 | 0.1445 | |
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Telemedicine is a useful tool for improving parenting skills in managing behavioural problems in children and adolescents with ASD | 2.31 (1.26) | 2 (1–3) * | 2.82 (0.80) | 3 (2–3) |
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Telemedicine is a useful tool for reducing behavioural problems of children and adolescents with ASD at home | 3.22 (1.22) | 3 (3–4) | 3.52 (0.76) | 4 (3–4) | 0.4219 | |
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Telemedicine reduces costs for accessing care (e.g., travel time, transportation expenses, missed work) | 2.02 (1.25) | 2 (1–3) | 2.06 (0.79) | 2 (2–2) | 0.2262 | |
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Telemedicine saves time (waiting time in clinics, travel time to the centre, etc.) | 1.91 (1.18) | 1 (1–2) | 1.78 (0.76) | 2 (1–2) | 0.8223 | |
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Telemedicine improves the management of family routine | 2.04 (1.22) | 2 (1–3) * | 2.62 (0.88) | 3 (2–3) |
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Telemedicine increases flexibility in offering care services | 1.93 (1.19) | 2 (1–2) * | 2.42 (0.90) | 2 (2–3) |
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Telemedicine allows both divorced parents to contribute to their child’s assessment or intervention | 1.89 (1.13) | 2 (1–2) * | 2.16 (0.77) | 2 (2–3) |
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Telemedicine allows the ASD child to be observed in the home environment | 1.89 (1.04) | 2 (1–3) | 2.16 (0.82) | 2 (2–3) | 0.0726 | |
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| 17.22 (8.23) | 16 | 19.54 (4.63) | 20 |
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ASD—autism spectrum disorder; HP—healthcare professionals; sd—standard deviation; in bold < p-value < 0.05; * significantly lower scores.
Comparison of respondents’ answers using Wilcoxon Rank Sum Test.
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| 0.4066 | 0.3712 | 0.1913 | ||||||
| Mother | 19.44 (7.28) | 18.0 (9.5) | 11.91 (4.68) | 11.0 (6.3) | 16.44 (8.32) | 14.5 (9.5) | |||
| Father | 20.33 (6.55) | 20.0 (11.0) | 12.50 (4.13) | 12.0 (8.0) | 18.67 (7.40) | 19.0 (14.0) | |||
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| 0.0607 | 0.0531 | ||||||
| Primary school | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Middle school | 24.38 (7.70) | 23.5 (10.0) | 15 (4.92) | 14.0 (6.0) | 23.00 (8.90) | 23.0 (12.8) | |||
| High school | 19.76 (7.34) | 18.0 (11.0) | 12.05 (4.56) | 11.0 (8.0) | 16.95 (8.36) | 16.0 (10.0) | |||
| Bachelor’s degree | 28.50 (5.50) | 28.5 (5.5) | 17.00 (3.00) | 17.0 (3.0) | 23.00 (2.00) | 23.0 (2.0) | |||
| Master’s degree/postgraduate course/PhD | 16.64 (4.59) | 16.0 (7.8) | 10.29 (3.39) | 10.0 (5.0) | 13.50 (4.94) | 11.0 (5.8) | |||
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| 0.1079 | 0.1347 | 0.0838 | ||||||
| Primary school | 24.00 (5.00) | 24.0 (5.0) | 15.00 (2.00) | 15.0 (2.0) | 20.00 (5.00) | 20.0 (5.0) | |||
| Middle school | 23.11(7.49) | 20.0 (10.0) | 14.11 (4.75) | 12.0 (6.0) | 20.44(9.50) | 17.0 (14.0) | |||
| High school | 21.00 (7.60) | 21.0 (12.0) | 12.88 (4.92) | 12.0 (8.0) | 19.06 (8.18) | 19.0 (14.0) | |||
| Bachelor’s degree | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Master’s degree/postgraduate course/PhD | 16.88 (5.88) | 16.0 (8.0) | 10.29 (3.67) | 9.0 (5.0) | 13.35 (5.73) | 11.0 (7.0) | |||
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| 0.4510 | 0.4814 | 0.5982 | ||||||
| Low | 21.40 (5.54) | 19.0 (11.0) | 13.20 (3.37) | 13.0 (7.0) | 17.80 (4.83) | 17.0 (6.0) | |||
| Medium–low | 20.22 (5.75) | 20.0 (9.0) | 12.33 (3.86) | 12.0 (4.0) | 18.11 (7.89) | 18.0 (17.0) | |||
| Medium | 21.70 (7.75) | 21.0 (12.25) | 13.00 (4.45) | 13.0 (7.0) | 18.90 (7.67) | 18.5 (13.3) | |||
| Medium– high | 20.46 (9.01) | 17.0 (7.0) | 12.77 (5.77) | 12.0 (6.0) | 17.46 (10.20) | 13.0 (10.0) | |||
| High | 16.00 (4.21) | 14.5 (7.3) | 9.75 (3.27) | 8.5 (4.3) | 13.38 (5.07) | 11.0 (6.5) | |||
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| 0.0711 | 0.0688 | 0.2219 | ||||||
| ≤6 year | 18.38 (6.88) | 16.0 (7.8) | 11.04 (4.15) | 10.5 (5.0) | 15.63 (7.04) | 12.0 (9.3) | |||
| >6 year | 21.86 (7.39) | 21.0 (10.0) | 13.62 (4.80) | 13.0 (6.0) | 19.05 (8.89) | 17.0 (10.0) | |||
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| 0.4295 | 0.3783 | 0.3329 | ||||||
| Female | 21.75 (7.61) | 20.0 (3.0) | 13.75 (5.02) | 12.5 (3.8) | 19.88 (8.65) | 18.5 (5.0) | |||
| Male | 19.62 (7.21) | 17.0 (12.0) | 11.92 (4.49) | 11.0 (8.0) | 16.65 (7.91) | 14.0 (12.0) | |||
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| 0.3656 | 0.3721 | 0.1623 | ||||||
| No | 19.81 (7.31) | 18.0 (10.0) | 11.97 (4.54) | 11.0 (7.0) | 16.59 (7.77) | 15.0 (10.0) | |||
| Yes | 21.90 (7.80) | 20.0 (10.0) | 13.60 (5.28) | 12.5 (7.0) | 20.70 (9.08) | 18.5 (11.8) | |||
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| 1 | 18.1 (5.1) | 17.5 (7.5) | 11.21 (3.40) | 11.0 (5.5) | 15.36 (6.05) | 13.0 (8.3) | |||
| 2–3 | 24.4 (8.3) | 26.0 (12.0) | 14.69 (5.25) | 15.0 (10.0) | 21.54 (8.67) | 21.0 (10.0) | |||
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| 0.0510 | ||||||
| Not | 26.11 (5.63) | 26.0 (3.0) | 16.89 (2.88) | 17.0 (3.0) | 21.44 (4.78) | 22.0 (3.0) | |||
| Yes | 20.61 (5.81) | 19.0 (9.0) | 13.90 (3.06) | 14.0 (4.0) | 19.12 (4.49) | 19.0 (5.0) | |||
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| 0.5529 | 0.5087 | 0.2958 | ||||||
| Female | 21.74 (6.19) | 22.0 (8.5) | 22.21 (8.7) | 16.0 (5.0) | 19.40 (4.66) | 19.0 (5.0) | |||
| Male | 19.33 (4.99) | 18.0 (6.0) | 18.00 (3.74) | 14.0 (3.0) | 21.67 (2.05) | 22.0 (2.5) | |||
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| 0.0663 | ||||||
| Not | 19.04 (4.99) | 18.0 (6.5) | 16.26 (3.35) | 13.0 (4.0) | 18.33 (3.90) | 19.0 (6.0) | |||
| Yes | 24.61 (6.01) | 25.0 (7.0) | 28.65 (7.93) | 16.0 (4.0) | 20.96 (4.90) | 21.0 (6.0) | |||
ASD—autism spectrum disorder; SES—socioeconomic status; sd—standard deviation; in bold—p-value < 0.05.
Comparison of parents’ and professionals’ answers on the second section of Telemedicine Expectations Questionnaire: Concerns about objective and subjective barriers.
| Barriers | Statement | Parents | Healthcare Professionals | Pearson’s Chi-Square Test |
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| Lack of digital devices | 9% | 70% | 36.551 |
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| Lack of knowledge of digital technology | 25% | 84% | 34.059 |
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| Poor-quality internet connection | 36% | 64% | 7.666 |
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| Active involvement/supervision of parents during telemedicine services | 20% | 4% | 5.922 |
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| Presence of at-home distractions | 42% | 34% | 0.680 | 0.409 | |
| Camera is unable to follow children as they moved around | 24% | 34% | 1.040 | 0.308 | |
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| Severity level of ASD | 22% | 30% | 12.418 |
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| ASD child’s embarrassment during telemedicine services | 22% | 8% | 3.813 | 0.051 | |
| Changes in ASD child’s behaviour during telemedicine services | 33% | 16% | 3.878 |
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| Distraction of ASD child due to the use of digital devices | 58% | 48% | 0.908 | 0.341 | |
| ASD child’s compliance influenced by the home setting | 53% | 46% | 0.510 | 0.475 | |
| Changes in the traditional doctor-patient relationship | 49% | 54% | 0.480 | 0.488 | |
| Potential negative effects of digital devices | 9% | 26% | 3.419 | 0.064 | |
| No barrier | 6% | 2% | 1.279 | 0.258 |
ASD—autism spectrum disorder; in bold—p-value < 0.05.