The association between home learning during COVID-19 lockdowns and subsequent school attendance among children with neurodevelopmental conditions.

BACKGROUND: Children with neurodevelopmental conditions have high levels of school absence. During the COVID-19 pandemic, schools closed for many students. The relationship between home learning during school closures and subsequent school attendance requires attention to better understand the impact of pandemic education policy decisions on this population. This study aims to investigate the association between home learning, hybrid learning and school learning during school closures (in January-March 2021) with subsequent school attendance (in May 2021) in children with neurodevelopmental conditions. METHODS: An online survey was completed by 809 parents/carers of 5- to 15-year-old autistic children and/or children with intellectual disability. Regression models examined the association of learning location during school closures with subsequent school absence (i.e., total days missed, persistent absence and school refusal). RESULTS: Children who were learning from home during school closures later missed 4.6 days of a possible 19. Children in hybrid and school learning missed 2.4 and 1.6 school days, respectively. The rates of school absence and persistent absence were significantly higher in the home learning group even after adjusting for confounders. Learning location was not associated with subsequent school refusal. CONCLUSIONS: Policies for school closures and learning from home during public health emergencies may exacerbate school attendance problems in this group of vulnerable children.

Elective home education of children with neurodevelopmental conditions before and after the COVID-19 pandemic started

COVID-19 brought disruptions to children’s education and mental health, and accelerated school de-registration rates. We investigated Elective Home Education (EHE) in families of children with a neurodevelopmental condition. A total of 158 parents of 5–15 year-old children with neurodevelopmental conditions (80% autistic) provided information on reasons for de-registration, their experience of EHE, and children’s mental health. Few differences were found between children participating in EHE before and after the pandemic started. Low satisfaction with school for not meeting children’s additional needs was the main reason for de-registering in both groups. COVID-19 had a more limited role in parents’ decision to de-register. The main advantage of EHE reported in both groups was the provision of personalised education and one-to-one support. Levels of anxiety, internalising and externalising problems were similar between children participating in EHE before and after the pandemic started, and also similar between all children in EHE and school-registered children (N = 1,079).

Associations Between Anxiety and Home Learning Difficulties in Children and Adolescents with ADHD During the COVID-19 Pandemic.

The COVID-19 pandemic has markedly impacted functioning for children and adolescents including those with attention-deficit/hyperactivity disorder (ADHD). We explored home learning difficulties (HLD) during COVID-19 restrictions in Australian children (aged 5-17) with ADHD, aiming to: (1) describe home learning experiences, and (2) examine associations between child anxiety (i.e., concurrent anxiety symptoms and pre-existing anxiety disorder status) and HLD. Baseline data from the longitudinal ADHD COVID-19 Survey were used (n = 122). Parents reported on school factors and HLD; pre-existing anxiety and co-occurring difficulties; anxiety, ADHD, and oppositional symptoms; demographics; and medications. Parents retrospectively reported more children often looked forward to school pre-pandemic, than during the pandemic. Anxiety symptoms, but not pre-existing anxiety disorder status, were associated with HLD after accounting for covariates. ADHD inattention symptoms were also associated with HLD. Results support recommendations to continue pre-pandemic supports to assist with ADHD symptoms during home learning, and strategies/supports for families are discussed.

Parent and child mental health trajectories April 2020 to May 2021: Strict lockdown versus no lockdown in Australia.

OBJECTIVE: To control a second-wave COVID-19 outbreak, the state of Victoria in Australia experienced one of the world's first long and strict lockdowns over July-October 2020, while the rest of Australia experienced 'COVID-normal' with minimal restrictions. We (1) investigate trajectories of parent/child mental health outcomes in Victoria vs non-Victoria and (2) identify baseline demographic, individual and COVID-19-related factors associated with mental health trajectories. METHODS: Online community sample of 2004 Australian parents with rapid repeated assessment over 14 time-points over April 2020 to May 2021. Measures assessed parent mental health (Depression, Anxiety and Stress Scales-21), child depression symptoms (13-item Short Mood and Feelings Questionnaire) and child anxiety symptoms (four items from Brief Spence Children's Anxiety Scale). RESULTS: Mental health trajectories shadowed COVID-19 infection rates. Victorians reported a peak in mental health symptoms at the time of the second-wave lockdown compared to other states. Key baseline predictors, including parent and child loneliness (standardized regression coefficient [ß] = 0.09-0.46), parent/child diagnoses (ß = 0.07-0.21), couple conflict (ß = 0.07-0.18) and COVID-19 stressors, such as worry/concern about COVID-19, illness and loss of job (ß = 0.12-0.15), predicted elevated trajectories. Effects of predictors on parent and child mental health trajectories are illustrated in an online interactive app for readers (https://lingtax.shinyapps.io/CPAS_trend/). CONCLUSION: Our findings provide evidence of worse trajectories of parent and child mental health symptoms at a time coinciding with a second COVID-19 outbreak involving strict lockdown in Victoria, compared to non-locked states in Australia. We identified several baseline factors that may be useful in detecting high-risk families who are likely to require additional support early on in future lockdowns.