Literature DB >> 8199901

A conceptual framework for thinking about risk assessment and case management in child protective service.

V Murphy-Berman1.   

Abstract

The present paper presents a broad conceptual framework for examining methodological issues in risk assessment in child protective service work. The following issues are discussed: standards for determination of risk; types of data collected; sources of information; types of possible errors; incremental validity issues; cultural context of decision making; assessment of problem origins; selection of outcome goals and implementation strategies; and treatment monitoring and case closure decisions. Risk assessment procedures vary on a number of dimensions, and the task of comparing one procedure to another is quite complex. Clearly, techniques cannot be considered from one vantage point and must take into account the general purpose of the assessment, the specific types of decisions that are to be made, and for whom, by whom, and within what context the data is to be gathered and used.

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Year:  1994        PMID: 8199901     DOI: 10.1016/0145-2134(94)90120-1

Source DB:  PubMed          Journal:  Child Abuse Negl        ISSN: 0145-2134


  3 in total

1.  The use of risk assessment to predict recurrent maltreatment: a Classification and Regression Tree Analysis (CART).

Authors:  Eve M Sledjeski; Lisa C Dierker; Rebecca Brigham; Eileen Breslin
Journal:  Prev Sci       Date:  2008-01-23

Review 2.  Development of a policy-relevant child maltreatment research strategy.

Authors:  Harriet L MacMillan; Ellen Jamieson; C Nadine Wathen; Michael H Boyle; Christine A Walsh; John Omura; Jason M Walker; Gregory Lodenquai
Journal:  Milbank Q       Date:  2007-06       Impact factor: 4.911

3.  Maternal impulse control disability and developmental disorder traits are risk factors for child maltreatment.

Authors:  Yoshiyuki Tachibana; Kenji Takehara; Naoko Kakee; Masashi Mikami; Eisuke Inoue; Rintaro Mori; Erika Ota; Tomoe Koizumi; Makiko Okuyama; Takahiko Kubo
Journal:  Sci Rep       Date:  2017-11-14       Impact factor: 4.379

  3 in total

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