Examination of Risk and Resiliency in a Pediatric Sickle Cell Disease Population Using the Psychosocial Assessment Tool 2.0

Karlson, Cynthia; Leist-Haynes, Stacey; Smith, Mary Kay; Faith, Melissa A.; Elkin, T. David; Megason, Gail

doi:10.1093/jpepsy/jss087

Cited by 58 publications

(72 citation statements)

References 27 publications

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“…PAT-DSD Total and subscale scores were comparable to the values found in other studies of pediatric conditions using the PAT [29, 43] (Table 3). The mean (SD) Total score for the group was 0.86 (0.65), which fell in the Universal level of risk.…”

Section: Resultssupporting

confidence: 82%

“…However, nearly a third of the group demonstrated some level of psychosocial risk (66.0% Universal risk, 27.9% Targeted risk, and 6.1% Clinical level of risk), mirroring the general distribution of risk categories previously identified by the PAT (see Fig. 1 for comparison with a sampling of conditions [11, 28, 43, 44]; for more complete comparison see the review by Kazak et al [11]).…”

Section: Resultssupporting

confidence: 58%

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Psychosocial Screening in Disorders/Differences of Sex Development: Psychometric Evaluation of the Psychosocial Assessment Tool

et al. 2018

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Background/Aims: Utilization of a psychosocial screener to identify families affected by a disorder/difference of sex development (DSD) and at risk for adjustment challenges may facilitate efficient use of team resources to optimize care. The Psychosocial Assessment Tool (PAT) has been used in other pediatric conditions. The current study explored the reliability and validity of the PAT (modified for use within the DSD population; PAT-DSD). Methods: Participants were 197 families enrolled in the DSD-Translational Research Network (DSD-TRN) who completed a PAT-DSD during a DSD clinic visit. Psychosocial data were extracted from the DSD-TRN clinical registry. Internal reliability of the PAT-DSD was tested using the Kuder-Richardson-20 coefficient. Validity was examined by exploring the correlation of the PAT-DSD with other measures of caregiver distress and child emotional-behavioral functioning. Results: One-third of families demonstrated psychosocial risk (27.9% “Targeted” and 6.1% “Clinical” level of risk). Internal reliability of the PAT-DSD Total score was high (α = 0.86); 4 of 8 subscales met acceptable internal reliability. A priori predicted relationships between the PAT-DSD and other psychosocial measures were supported. The PAT-DSD Total score related to measures of caregiver distress (r = 0.40, p < 0.001) and to both caregiver-reported and patient self-reported behavioral problems (r = 0.61, p < 0.00; r = 0.37, p < 0.05). Conclusions: This study provides evidence for the reliability and validity of the PAT-DSD. Given variability in the internal reliability across subscales, this measure is best used to screen for overall family risk, rather than to assess specific psychosocial concerns.

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Section: Resultssupporting

confidence: 82%

Section: Resultssupporting

confidence: 58%

Psychosocial Screening in Disorders/Differences of Sex Development: Psychometric Evaluation of the Psychosocial Assessment Tool

et al. 2018

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“…One of the first comprehensive models to emerge in the pediatric psychology literature was Wallander and Varni's (Wallander et al, 1989) disability-stress-coping model, also known as the risk-resistance adaptation model. Risk factors that have been identified through the literature include disease restrictions, diminished functional ability, psychosocial stressors, lower socioeconomic status (SES), limited social support, lower caregiver education, and poor family functioning (Karlson et al, 2012). Wallander and Varni (Wallander et al, 1989) hypothesized that an increase in risk factors (e.g., poverty, lack of social support) leads to worse psychosocial adjustment broadly defined, whereas, in contrast, increases in resistance factors (e.g., family cohesion, adaptive coping styles) lead to better psychosocial adjustment.…”

Section: Wallander and Varni's Disability-stress-copingmentioning

confidence: 99%

Models of Resilience: Developing Psychosocial Interventions for Parents of Children with Chronic Health Conditions

et al. 2015

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Research regarding family adaption and resilience in children with chronic health conditions has resulted in the development of a number of theoretical models and data‐driven psychosocial interventions in the field of pediatric psychology, some of which may not be well known in the field of family science. These models incorporate family systems theory and multiple resiliency factors within their framework to better describe the complex process of adaptation and subsequent adjustment outcomes. In this article, three contemporary resilience models within pediatric psychology are briefly reviewed and discussed. The development of a psychosocial intervention targeting uncertainty management for caregivers of children with cancer and the preliminary results are also presented as an exemplar of how such models may utilized to build interventions. Finally, the implications of the authors' findings and future research directions involving psychosocial interventions for families of children with chronic health conditions are discussed.

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“…18,19 This community uses physical activity to improve self-efficacy in symptom management and social support through pulmonary rehabilitation, an evidence-based outlet for organized patient mobility that generates quality of life improvement. The community also embraces advocacy and adaptation as personalized health behaviors in response to genetic information.…”

Section: Discussion Of Resulting Themesmentioning

confidence: 99%

Genetics’ Influence on Patient Experiences with a Rare Chronic Disorder

Williams

Shore

Sineath

et al. 2013

Nursing Clinics of North America

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Examination of Risk and Resiliency in a Pediatric Sickle Cell Disease Population Using the Psychosocial Assessment Tool 2.0

Abstract: Results suggest that the PAT has utility in a pediatric sickle cell disease sample. Most caregivers reported low distress and high resiliency factors in this population.

Cited by 58 publications

References 27 publications

Psychosocial Screening in Disorders/Differences of Sex Development: Psychometric Evaluation of the Psychosocial Assessment Tool

Psychosocial Screening in Disorders/Differences of Sex Development: Psychometric Evaluation of the Psychosocial Assessment Tool

Models of Resilience: Developing Psychosocial Interventions for Parents of Children with Chronic Health Conditions

Genetics’ Influence on Patient Experiences with a Rare Chronic Disorder

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