<i>Nothia</i>ex gr<i>. excelsa</i>(Grzybowski, 1898), ‘flysch-type’ agglutinated foraminifera from the Karpatian (Early-Miocene) of Hungary

Görög, Ágnes; Balassi, Eszter

doi:10.1080/08912963.2016.1278444

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…Data for this study were both collected online and abstracted from an EI program's database. Variable selection was informed by conceptual frameworks of participation and health service access [19][20][21] and align with prior studies examining the impact of child, family, and rehabilitation service use characteristics on young children's participation [15][16][17][18]22].…”

Section: Methodsmentioning

confidence: 99%

Early intervention service intensity and young children’s home participation

et al. 2020

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Background Young children with developmental disabilities and delays spend significant amounts of time at home, show decreased participation in home-based activities, and receive home-based early intervention services to improve participation in activities. Yet, knowledge about the relationship between EI service use and children’s home participation in activities remains poorly understood but needed for program improvement. The purpose of this study was to understand the relationships between EI service use and children’s home participation. Methods In a cross-sectional design, data were gathered from caregivers (N = 139) who enrolled in a pilot trial of the Young Children’s Participation in Environment Measure (YC-PEM) electronic patient-reported outcome (e-PRO), as implemented within 1 month of their child’s next EI progress evaluation. A series of path analytic models were used to estimate EI service intensity as a predictor of parent-reported young children’s home participation 1) frequency, 2) level of involvement, and 3) desired change, adjusting for family and child social and functional characteristics. Models included caregiver perceptions of home environmental support to test its indirect (i.e., mediation) effects on the relationship between EI service intensity and each of the three home participation dimensions. Results All three models fit the data well (comparative fit index = 1.00). EI service intensity was not a significant predictor of participation frequency. However, EI service intensity had a significant direct effect on a child’s participation according to level of involvement and desired change, explaining between 13.3–33.5% of the variance in home participation. Caregiver perceptions of environmental support had a small yet significant indirect effect on the relationship between EI service intensity and level of involvement and desired change; these models explained between 18.5–38.1% of the variance in home participation. Conclusions EI service intensity has important links with involvement in and desired change for home-based activities. Caregiver perceptions of environmental support appears to be a factor in the relationship between EI service intensity and home participation. Results warrant longitudinal replication with a control group, which would be possible with the implementation of the YC-PEM e-PRO in a routine EI clinical workflow. Trial retrospectively registered NCT03904797.

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Section: Methodsmentioning

confidence: 99%

Early intervention service intensity and young children’s home participation

et al. 2020

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Tertiary ecosystems: evolution and palaeoenvironments

Crespo

Mansino²

2017

Historical Biology

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Factors associated with follow-up care after pediatric concussion: A longitudinal population-based study in Alberta, Canada

Wittevrongel

Barrett²,

Hagel³

et al. 2023

Front. Pediatr.

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BackgroundConcussion is a common injury in children and adolescents. Current best practice guidelines indicate that recovery should be supervised through recurrent follow-up visits. A more detailed understanding of the system-level and individual factors that are associated with follow-up care is a critical step towards increasing evidence-based practice. The objective of this study was to identify predisposing, enabling, and need-based factors associated with follow-up care after pediatric concussion.Materials and methodsA retrospective population-based cohort study was conducted using linked, province-wide administrative health data for all patients <18 years of age with a diagnosis of concussion, other specified injuries of the head, unspecified injury of head, or post-concussion syndrome (PCS) between April 1, 2004 and March 31, 2018 in Alberta, Canada. The association between predisposing, enabling, and need-based factors and the receipt of follow-up care within a defined episode of care (EOC) was analyzed using logistic regression models for the entire cohort and for EOC that began with a concussion diagnosis. Predisposing factors included age and sex. Enabling factors included the community type of patient residence, area-based socioeconomic status (SES), and visit year. Need-based factors included where the EOC began (outpatient vs. emergency settings) and history of previous concussion-related EOC.Results194,081 EOCs occurred during the study period but only 13% involved follow-up care (n = 25,461). Males and adolescents were more likely to receive follow-up care. Follow-up was less likely among patients who lived in remote communities or in areas of lower SES, while EOCs beginning in 2011 or later were more likely to involve follow-up care. Patients whose EOC began in outpatient settings, had more than one EOC, or a diagnosis of concussion were more likely to receive follow-up care.ConclusionFollow-up care for pediatric concussion has increased over time and is associated with patient age and sex, history of concussion-related EOC, where a patient lives (community type and area-based SES), and when and where the index visit occurs. A better understanding of which children are more likely to receive follow-up care, as well as how and when they do, is an important step in aligning practice with follow-up guidelines.

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Nothiaex gr. excelsa(Grzybowski, 1898), ‘flysch-type’ agglutinated foraminifera from the Karpatian (Early-Miocene) of Hungary

Cited by 4 publications

References 18 publications

Early intervention service intensity and young children’s home participation

Early intervention service intensity and young children’s home participation

Tertiary ecosystems: evolution and palaeoenvironments

Factors associated with follow-up care after pediatric concussion: A longitudinal population-based study in Alberta, Canada

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