Willingness to Use ADHD Self-Management: Mixed Methods Study of Perceptions by Adolescents and Parents

Bussing, Regina; Koro‐Ljungberg, Mirka; Gurnani, Tina; Garvan, Cynthia Wilson; Mason, Dana M.; Noguchi, Kenji

doi:10.1007/s10826-015-0241-4

Cited by 12 publications

(4 citation statements)

References 38 publications

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“…However, the intent of the study was not to assume that the preferences of the caregiver who participated in the study reflected the preferences of all other caregivers in the child’s life. Only adult caregiver preferences were assessed, which might not necessarily reflect adolescents’ preferences [60], and often adolescents may be involved in decision making for their own care.…”

Section: Discussionmentioning

confidence: 99%

A Latent Class Analysis to Identify Variation in Caregivers’ Preferences for their Child’s Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

Bridges

Ross

et al. 2016

Patient

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Objectives To investigate variation in caregiver preferences for their child’s attention-deficit/hyperactivity disorder (ADHD) care and to determine if their stated preferences align with current care management. Methods Caregivers of a child aged 4–14 years and in care for ADHD were recruited from pediatric outpatient clinics and advocacy groups across the state of Maryland. Participants completed a survey collecting demographics, the child’s treatment, and caregiver preferences—elicited using a best-worst scaling experiment (case 2). Latent class analysis was used to identify distinct preference segments and bivariate analyses were used to compare the association between segment membership with what the child was currently receiving for their ADHD. Results Participants (n = 184) were predominantly White (68%) and the child’s mother (84%). Most children had ADHD for 2 or more years (79%). Caregiver preferences were distinguished by two segments: continuous medication (36%) and minimal medication (64%). The two groups had very different preferences for when medication was administered (p < 0.001), but they had similar preferences for provider oriented and non-medication interventions (p > 0.05 for the caregiver behavior training, provider communication, provider specialty, and out-of-pocket costs). One third of the sample did not receive the preferred individualized education program and 42% of the minimal medication group reported using medication 7 days a week all year round. Conclusions Although behavior management training and school accommodations aspects of an ADHD care plan are more important to caregivers than evidence-based medication, fewer families had access to educational accommodations. Further research is needed to clarify how stated preferences for care align with treatments used in actual practice settings.

show abstract

Section: Discussionmentioning

confidence: 99%

A Latent Class Analysis to Identify Variation in Caregivers’ Preferences for their Child’s Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

Bridges

Ross

et al. 2016

Patient

View full text Add to dashboard Cite

show abstract

“…However, the intent of the study was not to assume that the preferences of the caregiver who participated in the study reflected the preferences of all other caregivers in the child’s life. Only adult caregiver preferences were assessed, which might not necessarily reflect adolescents’ preferences [60], and oftentimes adolescents may be involved in decision-making for their own care.…”

Section: Discussionmentioning

confidence: 99%

Using Best–Worst Scaling to Measure Caregiver Preferences for Managing their Child’s ADHD: A Pilot Study

dosReis

Frosch

et al. 2014

Patient

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Objectives To investigate variation in caregiver preferences for their child’s attention-deficit/hyperactivity disorder (ADHD) care and to determine if their stated preferences align with current care management. Methods Caregivers of a child aged four to 14 years-old and in care for ADHD were recruited from pediatric outpatient clinics and advocacy groups across the state of Maryland. Participants completed a survey collecting demographics, the child’s treatment, and caregiver preferences – elicited using a best-worst scaling experiment (case 2). Latent class analysis was used to identify distinct preference segments and bivariate analyses were used to compare the association between segment membership with what the child is currently receiving for their ADHD. Results Participants (N=184) were predominately white (68%) and the child’s mother (84%). Most children had ADHD for two or more years (79%). Caregiver preferences were distinguished by two segments: Continuous Medication (36%) and Minimal Medication (64%). The two groups had very different preferences for when a medication treatment was administered (p<0.001), but they had similar preferences for provider-oriented and non-medication interventions (p>0.05 for the caregiver behavior training, provider communication, provider specialty and out-of-pocket costs). One-third of the sample did not receive the preferred individual education program and 42% of the minimal medication group reported using medication 7 days a week all year round. Conclusions Although behavior management training and school accommodations aspects of an ADHD care plan are more important to caregivers that evidence-based medication treatment, fewer families had access to educational accommodations. Further research is needed to clarify how stated preferences for care align with treatments used in actual practice settings.

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“…The ADHD service innovation aligns with established care principles that highlight the key role of self-management in chronic care [79], and incorporates validated standards (linked to clinical oversight) and content.…”

Section: Alignment With Established Guidelinesmentioning

confidence: 99%

Evolving Adult ADHD Care: Preparatory Evaluation of a Prototype Digital Service Model Innovation for ADHD Care

Patrickson,

Shams,

Fouyaxis

et al. 2024

IJERPH

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Background: Given the prevalence of ADHD and the gaps in ADHD care in Australia, this study investigates the critical barriers and driving forces for innovation. It does so by conducting a preparatory evaluation of an ADHD prototype digital service innovation designed to help streamline ADHD care and empower individual self-management. Methods: Semi-structured interviews with ADHD care consumers/participants and practitioners explored their experiences and provided feedback on a mobile self-monitoring app and related service innovations. Interview transcripts were double coded to explore thematic barriers and the enablers for better ADHD care. Results: Fifteen interviews (9 consumers, 6 practitioners) revealed barriers to better ADHD care for consumers (ignorance and prejudice, trust, impatience) and for practitioners (complexity, sustainability). Enablers for consumers included validation/empowerment, privacy, and security frameworks, tailoring, and access. Practitioners highlighted the value of transparency, privacy and security frameworks, streamlined content, connected care between services, and the tailoring of broader metrics. Conclusions: A consumer-centred approach to digital health service innovation, featuring streamlined, private, and secure solutions with enhanced mobile tools proves instrumental in bridging gaps in ADHD care in Australia. These innovations should help to address the gaps in ADHD care in Australia. These innovations should encompass integrated care, targeted treatment outcome data, and additional lifestyle support, whilst recognising the tensions between customised functionalities and streamlined displays.

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Willingness to Use ADHD Self-Management: Mixed Methods Study of Perceptions by Adolescents and Parents

Cited by 12 publications

References 38 publications

A Latent Class Analysis to Identify Variation in Caregivers’ Preferences for their Child’s Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

A Latent Class Analysis to Identify Variation in Caregivers’ Preferences for their Child’s Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

Using Best–Worst Scaling to Measure Caregiver Preferences for Managing their Child’s ADHD: A Pilot Study

Evolving Adult ADHD Care: Preparatory Evaluation of a Prototype Digital Service Model Innovation for ADHD Care

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