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Record W4251583086 · doi:10.1002/cl2.56

PROTOCOL: Cognitive‐behavioural therapy for parents who have physically abused their children

2009· article· en· W4251583086 on OpenAlexaboutno aff
Mogens Christoffersen, Jacqueline Corcoran, Diane DePanfilis, Claire Daining

Bibliographic record

VenueCampbell Systematic Reviews · 2009
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsChild abusePhysical abusePsychologyNeglectPsychiatryClinical psychologyAggressionPoison controlMedicineInjury preventionMedical emergency

Abstract

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Physical maltreatment constitutes the non-accidental physical injury, or risk of injury, of a child by a caretaker (Kolko 2002; Dubowitz 2000). In 2003, approximately 906,000 children were victims of child abuse or neglect in the United States (USDHHS 2005). Of these, over 171,000 (18.9%) were physically abused (USDHHS 2005). In Canada, 24% of the substantiated reports of child maltreatment in 2003 were cases of physical abuse (Trocme 2005). In the United Kingdom for the year ending March 2004, of the 25,900 children listed on the child protection registry, 18% were there due to physical abuse (GBONS / DFES 2005). Of Danish families receiving Social Assistance services in 2001, 12 percent suffered from physical abuse (Christoffersen 2002). As well as injury, the short-term consequences of physical abuse include aggression, impaired social competence, reduced empathy, poor impulse control, academic and behavioural problems, and internalizing problems, such as depression and low self-esteem (Azar 1988; Conaway 1989; Graziano 1992; Malinosky 1993; Mueller 1989; Toth 1992) . Long-term consequences such as posttraumatic stress disorder and other psychological sequelae of traumatic events are also associated with physical abuse suffered in childhood (Briere 2003). Adults who have experienced physical abuse as children are at increased risk for violence against others - their partners, children, and people outside the home (Malinosky 1993). Internalizing problems have also been reported in clinical populations of women physically abused as children (Malinosky 1993). Cognitive-behavioural approaches derive philosophically, theoretically and empirically from four theories of learning: respondent conditioning (associative learning e.g., of sexual arousal and trauma), operant conditioning (the effect of the environment on patterns of behaviour, particularly reinforcement and punishment), observational learning (learning by imitation) and cognitive learning (the impact of thought patterns on feelings and behaviour). They combine to provide an integrated approach to assessment and intervention with careful attention to the developmental and social contexts in which learning occurs (Macdonald 2004). This is a broad class of present-focused interventions with a shared focus on changing cognition (thoughts, beliefs, and assumptions about the world), changing behaviour, and building clients’ coping skills Severe cognitive deficits in the parent have been associated with maltreatment of the child. The first deficit involves unrealistic expectations about children's abilities based on their developmental level (Azar 2006). A second deficit involves attributing to the child's behaviour negative intentions (i.e., “he did that to get on my nerves”). A lack of problem-solving skills exacerbates these distorted cognitive appraisals, the third area of deficit. This combination of interpretive processes result in skill deficits, including problems with social skills, an impaired ability to control anger and stress, a lack of problem solving skills that affect the acquisition of needed physical resources (housing, transportation, food, clothing), as well as coercive parenting methods. In this way, the cognitive and skill deficits not only increase the risk of child abuse through physical coercion, but also reduce protective influences that might lessen the risk of physical abuse in the home (Azar 2006). Because the prevalence of physical abuse is high and the consequences of maltreatment potentially harmful, effective help is important. Chaffin and Schmidt (Chaffin 2006) in their review of treatment for physical abuse state that none of the interventions published in the literature have met the American Psychological Association (APA) standard for “well established” treatments. The definition of a well-established empirically supported treatment by the APA is that it has been compared in two or more group design manualized experiments to have statistically significant effects over another treatment or psychological placebo (Chambless 1998). In addition, two and more research teams have tested the treatment and have found similar positive results. Past non-systematic reviews of the literature have indicated that a variety of cognitive-behavioural approaches, including child management skills training, stress management, anger management, problem-solving, cognitive restructuring, and comprehensive packages of cognitive-behavioural treatment, have shown effectiveness with parents who physically punish their children (Runyon 2004). More recently, Lundahl, Nimer, and Parsons (Lundahl 2006) conducted a meta-analysis looking at a range of parent training programs on the prevention of child physical abuse on different outcomes, including documented abuse. The meta-analysis included studies in which participants had already abused their children and those who were at risk of abuse. Recidivism was only a focus of three studies with an overall Cohen's d of .45 at post-test. No systematic review has been performed on cognitive-behavioural treatment of child physical abuse, in this case, we now propose to undertake such a study. The aim of this review is to evaluate the effectiveness of cognitive behavioural therapy (CBT) with parents who have physically abused their children on preventing the recurrence of physical maltreatment. Experimental and quasi-experimental evaluations of cognitive-behavioural therapy with parents who have physically abused their children. The eligibility criteria for this review were that: the evaluation used an experimental or two-group quasi-experimental research design which included (1) a no-treatment (NT) comparison group or (2) routine community services-treatment (RCS) comparison group or (3) another intervention group. While experimental designs involve randomisation to these groups, a quasi-experimental design has non-randomised assignment of persons to treatment and control groups. Quasi-experimental designs in which treatment and comparison/control are held simultaneously will be included. Families with substantiated physical abuse (e.g., registered in CPS-system or similar system), receiving cognitive-behavioural therapy on a voluntary basis or by court order will be the subject of studies. The perpetrator may be the father, the mother, step-parents, or paramours of the parents. Exclude: Studies of sexually abused children and studies involving physical abuse in foster families or adoptive families. An exception is if children who are physically abused have also been maltreated in other ways (i.e., sexually abused), and undergo an intervention in which a significant component addresses the physical abuse. In addition, studies will be excluded if the perpetrator of the abuse is permanently removed from the family and/or the child victim has been placed in out-of-home care during the period of observation. Studies in which families are receiving CBT for neglect or psychological maltreatment as well as physical abuse will be eligible if data on the effects on physical abuse are separately available. Any cognitive-behavioural intervention that aims to educate a person about the inter-relations between how he/she thinks, feels, and how he/she acts and which seek to change behaviour either by changing specific cognitions (e.g. changing negative automatic thoughts) or via altering the antecedents and consequences of the behaviours. This review will address cognitive-behavioural interventions with physically abused children and their families, where the interventions are described by the authors as cognitive-behavioural treatment (or therapy) or are recognisably so from the details of the study, contact with the authors, and/or acquisition of a manual or other materials (cf. Dalsbø 2006). Programs may be individual, couple, or group based and delivered in any setting. The recurrence of child physical abuse (CPA) in the family. Only studies that have reported an outcome measure involving potential recurrence of child maltreatment are included. Recurrence is defined as a confirmed report of physical child abuse in a family after treatment had begun or during the follow-up period. Child physical abuse is generally defined as the presence of a non-accidental injury resulting from acts of commission by an adult or defined as acts of commission that involve either demonstrable harm or endangerment to the child. These acts are characterized by overt physical violence or excessive punishment (including poisoning and exposing to extreme heat or cold) (cf. Kelly 1983; Wolfe 1988; Malinosky 1993). Standardized or commonly used measures of family functioning. Examples of standardized measures of family functioning that are used in child welfare settings are the McMaster Family Assessment Device (Epstein 2003), the Family Adaptability and Cohesion Scale (Olson 2003), the Family Assessment Measure III (Skinner 2000). Outcome assessment may involve post testing (immediately after intervention) and, where available, at 3-6 months, 12 months, 24 months and 36 months follow-up. The overall analysis for this review will be based on the assessment closest to the 1-year follow-up. If two (or more) assessments are equally close to the 1-year follow-up, then the time point furthest from the end of the intervention will be chosen. Several strategies will be used to identify studies, published or otherwise, that meet the criteria, including a keyword search of computerized databases, and examination of study registers in journals. An overview (log book) of the final strategies for each database will be enclosed in an appendix in the final review so that all search strategies are reproducible. In order to minimize publication bias, unpublished studies (e.g., conference papers, unpublished dissertations, or government reports) will be identified by contacting authors of included studies and researchers working in this area, asking about their knowledge about ongoing research programmes, and unpublished and working papers. * - covered by the Nordic Campbell Center/ SFI (The Danish National Institute of Social Research). The remainder of databases will be searched at the University of Maryland and the Virginia Commonwealth University School of Social Work. References from recent systematic or traditional reviews of child abuse and cognitive-behavioural treatment will be hand searched, as well as the journal Child Abuse Review. All references identified as potentially eligible for this review will be entered into Reference Manager. A standardized form for evaluating the eligibility of studies will be used. Two independent reviewers will assess titles and abstracts, and screen potential studies for inclusion in this review. Divergences will be assessed. Titles and abstracts of studies identified through searches of electronic databases will be independently reviewed by CD and DdeP to determine whether they meet the inclusion criteria. If there is uncertainty or disagreement, then JC will be approached for adjudication. Studies in Scandinavian languages will be reviewed by NJA and KRA. If there is any uncertainty, MC will be approached. Studies in other languages will be referred to the editorial base of the CDPLPG. Studies clearly not relevant to the topic will be excluded. Relevant and potentially relevant articles will be retrieved by CD and DdeP and assessed independently by JC and MC against the inclusion criteria. If there is uncertainty or disagreement, then DdeP will be approached for adjudication. Additional information will be sought from the authors of studies if this will resolve any disagreement. A preliminary data extraction /coding protocol has been developed for this review. Information on study design and implementation, sample characteristics, intervention characteristics and characteristics of providers, control group characteristics and providers, implementation fidelity (in both arms of the study), and outcomes will be extracted from studies and coded on a data extraction form, as well as aspects of methodological quality. Two reviewers (CD and DdeP) will independently code all studies except studies, written in Scandinavian languages. These studies will be reviewed by NJA and KRA. Differences between coders will be resolved by discussion; if there is uncertainty or disagreement, then JC and MC will be approached for adjudication. Citations and data will be entered and organized in RevMan 5.0. Authors of studies with missing data will be contacted. Each reviewer (JC and MC) will independently assign included studies to quality categories in accordance with the dimensions mentioned below (Higgins 2008). Reviewers will seek to resolve any differences, but where this is not possible DdeP will adjudicate. Studies written in Scandinavian languages will be reviewed by NJA and KRA. If there is any uncertainty, MC will be approached Studies in other languages will be referred to the DPLPG editorial base for assistance with translation and data extraction. Description: the method used to generate the allocation sequence will be described in detail so as to assess whether it should have produced comparable groups; review authors’ judgment: was the allocation concealment sequence adequately generated? Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias) Description: the method used to conceal allocation sequence will be described in sufficient detail to assess whether intervention schedules could have been foreseen in advance of, or during, recruitment; review authors’ judgment: was allocation adequately concealed? Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias) Description: any measures used to blind participants, personnel and outcome assessors will be described so as to assess knowledge of any group as to which intervention a given participant might have received; review authors’ judgment: was knowledge of the allocated intervention adequately prevented during the study? Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias) Description: If studies do not report intention-to-treat analyses, attempts will be made to obtain missing data by contacting the study authors. Data on attrition and exclusions will be extracted and reported as well the numbers involved (compared with total), reasons for attrition/exclusion where reported or obtained from investigators, and any re-inclusions in analyses performed by review authors; review authors’ judgment: were incomplete data dealt with adequately by the reviewers? (See also ‘Dealing with missing data’, below). Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias) Description: attempts will be made to assess the possibility of selective outcome reporting by investigators; review authors’ judgment: are reports of the study free of suggestion of selective outcome reporting? Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias) Implementation integrity in the intervention group and in the control group (where the control group is given an active intervention) will be assessed in the following way. Information on the frequency of supervision or other measures (e.g., reviewed videotapes) for quality assurance will be obtained. Treatment integrity ratings reflecting the percentage of correctly administered content for CBT will be analyzed. Discovering reoccurrences of child physical abuse may be an effect of the frequency of contacts between caseworkers/therapists and families during the treatment process and the follow-up process. Information about the frequency of these contacts both in the treatment group and the control group will be obtained. Missing information will be provided from investigators, if possible. Study quality will not be scored on an additive basis. The impact of varying aspects of study quality mentioned above will be determined by sensitivity analysis, if data exist. Continuous data will be analyzed if means and standard deviations are available or can be obtained from primary investigators or otherwise derived. Where scales measure the same outcomes (e.g., child physical abuse) in different ways, standardized mean differences (SMD) will be compared across studies. The RevMan formula for SMD is Hedges’ g, which is like Cohen's d but includes an adjustment for small sample bias. Inverse variance methods will be used to pool SMDs, so that each effect size is weighted by the inverse of its variance in an overall estimate of effect size. Confidence intervals of 95% will be used for individual study data and pooled estimates (Hasselblad 1995). Binary outcomes will be analyzed by calculating odds ratios with 95% confidence intervals (Lipsey 2001). RevMan uses Mantel-Haenszel methods for combining binary outcome data across studies. If some primary studies report an outcome (e.g., child physical abuse) as a dichotomous measure and others use a continuous measure of the same construct, a conversion between the two metrics will be performed (cf. Chinn 2000). Although the odds ratio provides an effect for use in meta-analysis, attempts will be made to preserve information about base rates (actual proportions) and differences in proportions, since this information is of interest to policy makers (Lipsey 2001; Littell 2005). Systematic differences between the experimental and comparison/control groups because of loss of participants (e.g. withdrawals, dropouts, protocol deviations) will be examined in the studies. If information describing loss to follow-up is missing, the information will be obtained from investigators, if possible. Both overall and differential attrition rates will be coded and sensitivity analysis will be carried out to determine if these features are related to the effect size. Intent-to-treat analysis will be given preference when available, and the authors will report whether or not studies analysed data on an intention to treat basis. For dichotomous outcomes, the authors will assume that those who were lost to follow up all experienced the unsuccessful outcome. For continuous outcomes, the authors will assume that pre-test mean scores remained the same. For exclusions, when data to compute effect sizes are unavailable from the primary studies, effect sizes will be estimated on the basis of other information, such as confidence intervals, P-values, risk ratios, hazard ratios, or odds ratios. If studies report “non significant” findings and provide no other data, the ‘worst case’ of effect size and variances will be estimated based on the boundaries of the significant tests (e.g., 95% boundaries). The smallest effect size and its variance will be imputed in the meta-analysis. If substantial heterogeneity is found in the primary study, the following factors will be considered as possible explanations: design quality, publication bias, voluntary or mandatory participation, intensity or length/period of the intervention, and differences in offending parents’ characteristics, such as multiple problems/disorders. Studies also may be grouped according to characteristics of parents’ or carers’ substance abuse (e.g., crack cocaine, alcohol), history of violence, age groups of children, severity of the maltreatment (e.g. Maltreatment Classification System cf. Barnett 1993). If there are many primary studies, we will subgroup them according to these variables, and perform a moderator analysis (meta-regression) in order to identify whether these possible sources of heterogeneity appear to be important. If the primary studies are judged to be substantially heterogeneous even within these sub-groupings, only a descriptive analysis will be performed, particularly if there is variation in direction of effect. On or clinical diversity (differences in the population of families) between studies will be examined as possible explanations. Data synthesis will be conducted with RevMan 5.0, the latest version of the Cochrane Collaboration's meta-analysis software. When a primary outcome study reports multiple measures of the same construct (i.e., the recurrence of child physical abuse (CPA) defined as a confirmed report of child maltreatment in a family) at different points in time, we will use the single measure that is closest to 1-year follow-up as an overall measure. When a primary outcome study reports multiple measures of the same construct at the same points in time, we will use the average assessment as an overall measure. The review will examine variation in the general recurrence odds-ratios by coded methodological moderator variables. Moderator analysis will involve multiple regression or categorical comparisons on the following three moderator variables: Experimental designs and quasi-experimental designs will be meta-analyzed separately. The central weakness of all non- randomised controlled studies is their inability to control for unknown confounders. In the second moderator analysis, studies will be grouped according to the characteristics of the control group. The control group may have no intervention (NI), routine community services (RCS), family therapy (FT), or another intervention. A separate analysis will be done for each group of studies. In the third moderator analysis studies will be grouped according to characteristics of outcome assessment (e.g., immediately after intervention, and where available, at 3-6 month, 12 month, 24 month, and 36 month follow-up). Separate comparisons will be made between studies with outcomes of short term (e.g., within 3 months), medium term, and long term measures (e.g., 1-year or more) We will code and summarize available data on the costs of experimental intervention and control groups’ intervention within the studies under review. MC, DD, JC, and CD contributed to the drafting of the protocol. Anne-Marie Klint Jørgensen, Librarian with the Nordic Campbell Center assisted reviewers with developing the search strategy. CD will contribute to running the searches, will retrieve potentially relevant studies, and will conduct data extraction for selected studies. MC and JC will select studies and write the review. DD will provide topic expertise and contribute to writing and editing the review. JC will provide methodological advice, guidance and will help to write the review. None known.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.111
GPT teacher head0.381
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

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