Dataset Information

Integrating Autism Care through a School-Based Intervention Model: A Pilot Study.

ABSTRACT: The purpose of this pilot study is to determine the feasibility of monitoring the progress of children with an autism spectrum disorder (ASD) both in school and at home to promote a school-based integrated care model between parents, teachers, and medical providers. This is a prospective cohort study. To monitor progress, outcome measures were administered via an online platform developed for caregivers and teachers of children (n = 30) attending a school specializing in neurodevelopmental disorders and using an integrated medical and education program. Longitudinal analysis showed improvements in a novel scale, the Teacher Autism Progress Scale (TAPS), which was designed to measure key autism-related gains in a school environment (2.1-point improvement, p = 0.004, ES = 0.324). The TAPS showed a strong and statistically significant correlation, with improvement in aberrant behavior (r = -0.50; p = 0.008) and social responsiveness (r = -0.70; p < 0.001). The results also showed non-statistically significant improvements in aberrant behavior, social responsiveness, and quality of life over time at both school and home. To assess feasibility of ongoing progress measurement, we assessed missing data, which showed caregivers were more likely to miss surveys during summer. Results demonstrate the value and feasibility of online, longitudinal data collection in school to assist with individualized education planning and collaborative care for children with ASD. Lessons learned in this pilot will support school outcomes researchers in developing more efficacious, collaborative treatment plans between clinicians, caregivers, and teachers.

SUBMITTER: Dang K

PROVIDER: S-EPMC5664012 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Integrating Autism Care through a School-Based Intervention Model: A Pilot Study.

Dang Katherine K Bent Stephen S Lawton Brittany B Warren Tracy T Widjaja Felicia F McDonald Michael G MG Breard Michael M O'Keefe Whitney W Hendren Robert L RL

Journal of clinical medicine 20171019 10

The purpose of this pilot study is to determine the feasibility of monitoring the progress of children with an autism spectrum disorder (ASD) both in school and at home to promote a school-based integrated care model between parents, teachers, and medical providers. This is a prospective cohort study. To monitor progress, outcome measures were administered via an online platform developed for caregivers and teachers of children (<i>n</i> = 30) attending a school specializing in neurodevelopmenta ...[more]

PMID: 29048365

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Project description:BACKGROUND:Diabetes is a major contributor to global death and disability. Text-messaging interventions hold promise for improving diabetes outcomes through better knowledge and self-management. OBJECTIVE:The aim of this study was to examine the implementation and impact of a diabetes text-messaging program targeted primarily for low-income Latino patients receiving care at 2 federally qualified health centers (FQHCs). METHODS:A mixed-methods, quasi-experimental research design was employed for this pilot study. A total of 50 Spanish or English-speaking adult patients with diabetes attending 2 FQHC sites in Los Angeles from September 2015 to February 2016 were enrolled in a 12-week, bidirectional text-messaging program. A comparison group (n=160) was constructed from unexposed, eligible patients. Demographic data and pre/post clinical indicators were compared for both the groups. Propensity score weighting was used to reduce selection bias, and over-time differences in clinical outcomes between groups were estimated using individual fixed-effects regression models. Population-averaged linear models were estimated to assess differential effects of patient engagement on each clinical indicator among the intervention participants. A sample of intervention patients (n=11) and all implementing staff (n=8) were interviewed about their experiences with the program. Qualitative data were transcribed, translated, and analyzed to identify common themes. RESULTS:The intervention group had a mean glycated hemoglobin (HbA1c) reduction of 0.4 points at follow-up, relative to the comparison group (P=.06). Patients who were more highly engaged with the program (response rate ≥median of 64.5%) experienced a 2.2 point reduction in HbA1c, relative to patients who were less engaged, controlling for demographic characteristics (P<.001). Qualitative analyses revealed that many participants felt supported, as though "someone was worrying about [their] health." Participants also cited learning new information, setting new goals, and receiving helpful reminders. Staff and patients highlighted strategies to improve the program, including incorporating patient responses into in-person clinical care and tailoring the messages to patient knowledge. CONCLUSIONS:A diabetes text-messaging program provided instrumental and emotional support for participants and may have contributed to clinically meaningful improvements in HbA1c. Patients who were more engaged demonstrated greater improvement. Program improvements, such as linkages to clinical care, hold potential for improving patient engagement and ultimately, improving clinical outcomes.

Project description:OBJECTIVES:Achieving good menstrual health and hygiene (MHH) is a public health challenge and there is little evidence to inform interventions. The aim of this study was to pilot test an intervention to improve MHH and school attendance in Uganda, in preparation for a future cluster-randomised trial. DESIGN:Longitudinal study with pre-post evaluation of a pilot intervention. SETTING:Two secondary schools in Entebbe, Uganda. PARTICIPANTS:Of the 473 eligible students in secondary 2 (S2) at baseline, 450 (95.1%; 232 girls and 218 boys) consented/assented. 369 students (188 girls; 81.0%; and 181 boys; 83.0%) participated in the endline survey. INTERVENTION:The intervention comprised training teachers to improve delivery of government guidelines for puberty education, training in use of a menstrual kit and pain management, a drama skit, provision of analgesics and improvements to school water and sanitation hygiene facilities. PRIMARY AND SECONDARY OUTCOME MEASURES:Feasibility and acceptability of delivering the intervention. Baseline and endline quantitative surveys were conducted, with qualitative interviews conducted at endline. School attendance was assessed using self-completed daily diaries among a nested cohort of 100 female students. RESULTS:There were high levels of uptake of the individual and behavioural intervention components (puberty education, drama skit, menstrual hygiene management (MHM) kit and pain management). The proportion of girls reporting anxiety about next period decreased from 58.6% to 34.4%, and reported use of effective pain management increased from 76.4% to 91.4%. Most girls (81.4%) reported improved school toilet facilities, which improved their comfort managing menstruation. The diary data and qualitative data indicated a potential intervention impact on improving menstrual-related school absenteeism. CONCLUSIONS:The pilot study showed that the multicomponent MHM intervention was acceptable and feasible to deliver, and potentially effective in improving menstruation knowledge and management. A cluster-randomised trial is needed to evaluate rigorously the intervention effects on MHM and school attendance. TRIAL REGISTRATION NUMBER:NCT04064736; Pre-results.

Project description:BackgroundHome and school environments conducive for unhealthy eating and physical inactivity are precursors of obesity. The aim of this study is evaluation of the effectiveness of a multi-component school-based weight management programme for overweight and obese primary school children via a home-school joint venture.MethodsThis study made use of variety of behavioural modification strategies integrating into the Health Promoting School approach to promote healthy lifestyles. The participants were overweight and obese students aged between 8 and 12 from six participating schools. The interventions involved students attending ten 75 minutes after-school sessions and one 3-hour week-end session of practical interactive and fun activities on healthy eating and exercise, and meal plan together with parents and printed tailor-made management advices. Parents received an introductory seminar with 2 sets of specially designed exercise for their overweight children. The tools to measure bodyweight and fat percentage and standing height were bio-impedance body fat scale and a portable stadiometer. Self-administered questionnaire was used to measure knowledge, attitudes and behaviours. McNemar test was utilized to compare the proportions of behaviour changes within the same group to assess for the trends of changes. BMI z-score and body fat percentage of intervention participants at baseline, 4 month and 8 month were compared pair-wisely using tests of within subject contrasts in repeated measures ANOVA to assess for programme sustainability.ResultsThose students in the intervention group reduced their BMI z-score (-0.21, 95% CI -0.34 to -0.07, P = 0.003) and body fat (-2.67%, 95% CI -5.12 to -0.22, P = 0.033) compared to wait list control group with statistical significant, and the intervention group also had a significant reduction in BMI z-score (-0.06, 95% CI -0.11, -0.007, P = 0.028) and body fat (-1.71%, 95% CI, -3.44 to 0.02, P = 0.052) after a 4 month maintenance period. Improvement of dietary habits and positive attitudes towards exercise were observed among the intervention group.ConclusionSchool based weight management programme integrated into a Health Promoting School approach with improved school policies and environment in supporting individual skills of obese students and their parents appears to be a promising practice for sustaining weight control.Trial registrationISRCTN58795797.

Project description:BackgroundThe Extension for Community Health Outcomes (ECHO) Autism Program trains clinicians to screen, diagnose, and care for children with autism spectrum disorder (ASD) in primary care settings. This study will assess the feasibility and impact of integrating an artificial intelligence (AI)-based ASD diagnosis aid (the device) into the existing ECHO Autism Screening Tool for Autism in Toddlers and Young Children (STAT) diagnosis model. The prescription-only Software as a Medical Device, designed for use in children aged 18 to 72 months at risk for developmental delay, produces ASD diagnostic recommendations after analyzing behavioral features from 3 distinct inputs: a caregiver questionnaire, 2 short home videos analyzed by trained video analysts, and a health care provider questionnaire. The device is not a stand-alone diagnostic and should be used in conjunction with clinical judgment.ObjectiveThis study aims to assess the feasibility and impact of integrating an AI-based ASD diagnosis aid into the ECHO Autism STAT diagnosis model. The time from initial ECHO Autism clinician concern to ASD diagnosis is the primary end point. Secondary end points include the time from initial caregiver concern to ASD diagnosis, time from diagnosis to treatment initiation, and clinician and caregiver experience of device use as part of the ASD diagnostic journey.MethodsResearch participants for this prospective observational study will be patients suspected of having ASD (aged 18-72 months) and their caregivers and up to 15 trained ECHO Autism clinicians recruited by the ECHO Autism Communities research team from across rural and suburban areas of the United States. Clinicians will provide routine clinical care and conduct best practice ECHO Autism diagnostic evaluations in addition to prescribing the device. Outcome data will be collected via a combination of electronic questionnaires, reviews of standard clinical care records, and analysis of device outputs. The expected study duration is no more than 12 months. The study was approved by the institutional review board of the University of Missouri-Columbia (institutional review board-assigned project number 2075722).ResultsParticipant recruitment began in April 2022. As of June 2022, a total of 41 participants have been enrolled.ConclusionsThis prospective observational study will be the first to evaluate the use of a novel AI-based ASD diagnosis aid as part of a real-world primary care diagnostic pathway. If device integration into primary care proves feasible and efficacious, prolonged delays between the first ASD concern and eventual diagnosis may be reduced. Streamlining primary care ASD diagnosis could potentially reduce the strain on specialty services and allow a greater proportion of children to commence early intervention during a critical neurodevelopmental window.Trial registrationClinicalTrials.gov NCT05223374; https://clinicaltrials.gov/ct2/show/NCT05223374.International registered report identifier (irrid)PRR1-10.2196/37576.

Dataset Information

Integrating Autism Care through a School-Based Intervention Model: A Pilot Study.

Publications

Integrating Autism Care through a School-Based Intervention Model: A Pilot Study.

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