Could the BIC-Q be a decision-support tool to predict the development of asylum-seeking children?

被引:12
|
作者
Zijlstra, A. Elianne [1 ]
Kalverboer, Margrite E. [1 ]
Post, Wendy J. [1 ]
Ten Brummelaar, Mijntje D. C. [1 ]
Knorth, Erik J. [1 ]
机构
[1] Univ Groningen, Fac Behav & Social Sci, Dept Special Needs Educ & Youth Care, NL-9712 TJ Groningen, Netherlands
关键词
Children's rights; Best interest of the child; Asylum-seeking children; Internalizing problems; Asylum procedure; LENGTH-OF-STAY; MENTAL-HEALTH; REFUGEE CHILDREN; RISK; RESILIENCE; CONSEQUENCES; VULNERABILITY; OUTCOMES; DENMARK; SEEKERS;
D O I
10.1016/j.ijlp.2013.01.005
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
The Best Interest of the Child Questionnaire (BIC-Q) is an instrument to measure the quality of the childrearing environment. We used a sample of asylum-seeking children (N = 79) in the Netherlands to determine the relationship between the quality of the childrearing environment and the child's internalizing behavioural problems. In decisions as to whether asylum-seeking children may remain in the Netherlands or must return to their country of origin, those in favour of the child's positive development are in line with the Convention on the Rights of the Child. The aim of the present study is to determine the criterion-related validity of the BIC-Q using internalizing behavioural problems as criteria. In the case of good predictive validity, this instrument might be a suitable tool in judicial decision-making with respect to a possible change in an asylum-seeking child's place of residence.We investigated the criterion-related validity of the BIC-Q using logistical regression analysis and an ROC-curve to determine the relation between the quality of the childrearing environment and the child's internalizing behavioural problems. Logistic regression analysis showed that the current quality of the childrearing environment is negatively related to the risk of internalizing behavioural problems in children. The ROC shows that 81% of the children are correctly predicted whether they have internalizing behavioural problems or not. For seven conditions, the sum of the sensitivity and specificity was at a maximum (.75 and .71, respectively). (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:129 / 135
页数:7
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    Vilizzi, Lorenzo
    Tidbury, Hannah
    Stebbing, Paul D.
    Tarkan, Ali Serhan
    Miossec, Laurence
    Goulletquer, Philippe
    [J]. MANAGEMENT OF BIOLOGICAL INVASIONS, 2016, 7 (04): : 343 - 350
  • [22] Expertise and post-normal science in the development of the Swedish sickness certification decision-support tool
    Eriksson, Lena
    Sager, M.
    Staland-Nyman, C.
    Hensing, G.
    [J]. EUROPEAN JOURNAL OF PUBLIC HEALTH, 2012, 22 : 98 - 98
  • [23] Development of a decision-support tool for identifying the most suitable approach to achieve nitrate source determination
    Fenech, C.
    Nolan, K.
    Rock, L.
    Morrissey, A.
    [J]. ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS, 2014, 16 (11) : 2564 - 2570
  • [24] Parameter selection for and implementation of a web-based decision-support tool to predict extubation outcome in premature infants
    Mueller M.
    Wagner C.L.
    Annibale D.J.
    Knapp R.G.
    Hulsey T.C.
    Almeida J.S.
    [J]. BMC Medical Informatics and Decision Making, 6 (1)
  • [25] Engaging with stakeholders to inform the development of a decision-support tool for the NHS health check programme: qualitative study
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    Guzman-Castillo, Maria
    Kypridemos, Chris
    Collins, Brendan
    Schwaller, Ellen
    Capewell, Simon
    Boland, Angela
    Dickson, Rumona
    O'Flaherty, Martin
    Gallacher, Kay
    Hale, Peter
    Lloyd-Williams, Ffion
    [J]. BMC HEALTH SERVICES RESEARCH, 2020, 20 (01)
  • [26] Engaging with stakeholders to inform the development of a decision-support tool for the NHS health check programme: qualitative study
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    Rumona Dickson
    Martin O’Flaherty
    Kay Gallacher
    Peter Hale
    Ffion Lloyd-Williams
    [J]. BMC Health Services Research, 20
  • [27] A decision-support tool framework to predict adverse outcome in patients with atrial fibrillation: J-Rhythm registry substudy
    Watanabe, E.
    Yamashita, T.
    Inoue, H.
    Atarashi, H.
    Okumura, K.
    Kodani, E.
    Origasa, H.
    Kiyono, K.
    [J]. EUROPEAN HEART JOURNAL, 2019, 40 : 3539 - 3539
  • [28] Development of a Multi-Criteria Analysis Decision-Support Tool for the Sustainability of Forest Biomass Heating Projects in Quebec
    Brandao, Raphael Dias
    Thiffault, Evelyne
    Levasseur, Annie
    [J]. SUSTAINABILITY, 2022, 14 (20)
  • [29] Use of a decision-support tool for addressing risk concepts in performance-based building fire safety regulation development
    Meacham, BJ
    [J]. PSAM 5: PROBABILISTIC SAFETY ASSESSMENT AND MANAGEMENT, VOLS 1-4, 2000, (34): : 1757 - 1762
  • [30] Development Of An Electronic Decision-Support Tool To Improve The Accuracy Of Pulmonary Function Test (pft) Interpretation: Eprotocol-Pft
    Blagev, D. P.
    Howe, S.
    Linares-Perdomo, O. J.
    Huggins, E.
    Sorenson, D.
    Morris, A. H.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187