Early intervention service intensity and young children's home participation

被引:13
作者
Khetani, M. A. [1 ,2 ,3 ]
McManus, B. M. [4 ]
Albrecht, E. C. [5 ]
Kaelin, V. C. [1 ]
Dooling-Litfin, J. K. [6 ]
Scully, E. A. [6 ]
机构
[1] Univ Illinois, Rehabil Sci, Chicago, IL 60607 USA
[2] Univ Illinois, Occupat Therapy, Chicago, IL 60607 USA
[3] CanChild Ctr Childhood Disabil Res, Hamilton, ON, Canada
[4] Colorado Sch Publ Hlth, Hlth Syst Management & Policy, Aurora, CO USA
[5] Invest Kids, Denver, CO USA
[6] Rocky Mt Human Serv, Denver, CO USA
基金
美国国家卫生研究院;
关键词
Young children; Service intensity; Participation; Environment; early intervention; COMMUNITY PARTICIPATION; PROPENSITY SCORE; FAMILY; IMPACT; DISABILITY;
D O I
10.1186/s12887-020-02182-x
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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 .
引用
收藏
页数:10
相关论文
共 37 条
[1]   Measures used to quantify participation in childhood disability and their alignment with the family of participation-related constructs: a systematic review [J].
Adair, Brooke ;
Ullenhag, Anna ;
Rosenbaum, Peter ;
Granlund, Mats ;
Keen, Deb ;
Imms, Christine .
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2018, 60 (11) :1101-1116
[2]  
Aday L. A., 1974, HEALTH SERV RES, V9, P208, DOI DOI 10.1080/08912963.2016.1278444
[3]   Environmental impact on young children's participation in home-based activities [J].
Albrecht, Erin C. ;
Khetani, Mary A. .
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2017, 59 (04) :388-394
[4]   Predictors of change in participation rates following acquired brain injury: results of a longitudinal study [J].
Anaby, Dana ;
Law, Mary ;
Hanna, Steven ;
Dematteo, Carol .
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY, 2012, 54 (04) :339-346
[5]  
[Anonymous], 2008, INTRO STAT MEDIATION
[6]  
[Anonymous], 2017, Mplus User's guide
[7]  
[Anonymous], 2014, DASY CTR
[8]   A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality [J].
Austin, Peter C. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (01) :119-151
[9]   Early Childhood Intervention: A Promise to Children and Families for Their Future [J].
Bruder, Mary Beth .
EXCEPTIONAL CHILDREN, 2010, 76 (03) :339-355
[10]  
Colorado Office of Early Childhood Division of Community and Family Support, 2018, EARL INT DAT SYST US