The Associations Between Clinical, Social, Financial Factors and Unmet Needs of Autistic Adults: Results from an Observational Study
Notice bibliographique
Résumé
Background: Autism is a developmental disability that affects how individuals experience the world. Each Autistic individual experiences Autism in their own way, meaning that the level and type of assistance in their everyday lives vary widely. A shortage of programs and services tailored to Autistic adults exists worldwide, and the current gap between needs and services is likely to worsen as the growing number of Autistic children being diagnosed reach adulthood. This research sought to determine priorities in terms of health and social service needs of Autistic adults and to examine factors influencing whether or not these services were being received. Methods: Through a multistakeholder approach, researchers and Autistic adults codeveloped the Maritime Provinces Needs Assessment Survey and collected data from August 2017 to February 2018. The research team engaged Autistic adult partners, including one that was project colead, as full partners. We recruited survey respondents from three Maritime Provinces using mainly social media and local Autism networks. We used Poisson regression analyses to identify factors most strongly associated with the number of unmet needs reported by Autistic adults. Results: In total, 260 respondents completed the needs assessment survey: 77 self-reporting Autistic adults (aged 19–55 years), 87 Autistic adults (aged 18–63 years) whose information was provided by a proxy respondent, and 96 professionals working in the field of Autism. Autistic adults reported a mean of 2.1 ± 1.5 (self-reported) and 2.8 ± 2.1 (proxy-reported) services wanted but not received. The number of mental health and neurodevelopmental conditions, unemployment, and perception that government support is insufficient were positively related to unmet needs. Conclusions: Overall, the results of this study highlight considerable gaps among the support needs of Autistic adults. The identification of factors associated with a higher number of unmet needs helps identify potential subgroups requiring more attention. There is currently a shortage of programs and services for Autistic adults. Little is known about which services are most important to Autistic adults and which factors are associated with not receiving them. Our goals were (1) to determine the service need priorities of Autistic adults and (2) to examine factors associated with unmet needs. The researchers invited health professionals, service providers, policy makers, Autism advocates, as well as Autistic adults and caregivers of Autistic adults to participate as part of the project team. In the early phases of the project, we named an Autistic adult colead of the project. In doing so, we acknowledged that conducting relevant research on the Autistic adult community implies not only hearing their voices and concerns, but also providing an opportunity for equal say on the research itself. We adapted previously used surveys to align them with our objectives of focusing only on Autistic adults. We launched the survey online and promoted it using various media and community channels, many of them direct suggestions from Autistic adult team members. We made paper copies available and provided a phone number for those who needed support filling out the survey. More than 25% of Autistic adults identified 12 different services as priority needs. Autistic adults who (1) reported more mental health and neurodevelopmental conditions, (2) perceived their mental health as poor, or (3) felt that government support was insufficient were at greater risk of having unmet needs. Similar to previous studies, we found that the service needs of Autistic adults are varied, and that many are not receiving the services they consider a priority. Our study also went one step further by identifying factors that are associated with a higher number of unmet needs. Our sample does not necessarily reflect the Autistic adult community as a whole, since we were unable to guarantee that hard-to-reach segments had access to our survey. In addition, we are unable to know how our results may change over time, as our survey was filled out on one occasion only. Finally, we did not measure Autistic traits and therefore are unable to estimate how different types of traits are associated with certain needs. Our results may help bring attention to subgroups of Autistic adults who need more help receiving the services they require.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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