Dataset Information

The 'Maltreatment and Abuse Chronology of Exposure' (MACE) scale for the retrospective assessment of abuse and neglect during development.

ABSTRACT: There is increasing interest in childhood maltreatment as a potent stimulus that may alter trajectories of brain development, induce epigenetic modifications and enhance risk for medical and psychiatric disorders. Although a number of useful scales exist for retrospective assessment of abuse and neglect they have significant limitations. Moreover, they fail to provide detailed information on timing of exposure, which is critical for delineation of sensitive periods. The Maltreatment and Abuse Chronology of Exposure (MACE) scale was developed in a sample of 1051 participants using item response theory to gauge severity of exposure to ten types of maltreatment (emotional neglect, non-verbal emotional abuse, parental physical maltreatment, parental verbal abuse, peer emotional abuse, peer physical bullying, physical neglect, sexual abuse, witnessing interparental violence and witnessing violence to siblings) during each year of childhood. Items included in the subscales had acceptable psychometric properties based on infit and outfit mean square statistics, and each subscale passed Andersen's Likelihood ratio test. The MACE provides an overall severity score and multiplicity score (number of types of maltreatment experienced) with excellent test-retest reliability. Each type of maltreatment showed good reliability as did severity of exposure across each year of childhood. MACE Severity correlated 0.738 with Childhood Trauma Questionnaire (CTQ) score and MACE Multiplicity correlated 0.698 with the Adverse Childhood Experiences scale (ACE). However, MACE accounted for 2.00- and 2.07-fold more of the variance, on average, in psychiatric symptom ratings than CTQ or ACE, respectively, based on variance decomposition. Different types of maltreatment had distinct and often unique developmental patterns. The 52-item MACE, a simpler Maltreatment Abuse and Exposure Scale (MAES) that only assesses overall exposure and the original test instrument (MACE-X) with several additional items plus spreadsheets and R code for scoring are provided to facilitate use and to spur further development.

SUBMITTER: Teicher MH

PROVIDER: S-EPMC4340880 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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The 'Maltreatment and Abuse Chronology of Exposure' (MACE) scale for the retrospective assessment of abuse and neglect during development.

Teicher Martin H MH Parigger Angelika A

PloS one 20150225 2

There is increasing interest in childhood maltreatment as a potent stimulus that may alter trajectories of brain development, induce epigenetic modifications and enhance risk for medical and psychiatric disorders. Although a number of useful scales exist for retrospective assessment of abuse and neglect they have significant limitations. Moreover, they fail to provide detailed information on timing of exposure, which is critical for delineation of sensitive periods. The Maltreatment and Abuse Ch ...[more]

PMID: 25714856

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Project description:PURPOSE:Adverse childhood experiences in sensitive periods of the developing brain render the individual at a life-long risk for a broad spectrum of aberrant health outcomes. However, there is a lack of scales for the comprehensive assessment of adverse childhood experiences providing information of various types and the age of occurrence. Based on the complete, experimental version of the Maltreatment and abuse chronology of exposure (MACE-X) scale, the present study aimed to develop and psychometrically test a Norwegian version of MACE. METHODS:The 75-item MACE-X was translated from German to Norwegian and administered as a self-report measure to 90 outpatients and 145 employees at a Division of specialized mental health care in South-Eastern Norway. The outpatients also completed the Childhood trauma questionnaire (CTQ) and the Symptom checklist 90 (SCL-90) to investigate convergent and predictive validity. To investigate test-retest reliability, outpatients completed MACE once more two weeks later. RESULTS:Rasch analysis and Anderson likelihood ratio tests on the combined outpatient and employee data resulted in a 55 item version of the Norwegian MACE. In the outpatient group, test-retest reliability of the MACE-55 was excellent for total scores (ICC ? 0.94) and good to excellent for 10 subscale scores (ICC ? 0.82). Convergent validity with the CTQ was moderate to high for both total scores (0.63 ? r ? 0.86) and subscale scores (0.56 ? r ? 0.82). As compared to CTQ total scores, a MACE total score that combined severity and duration of exposure was numerically more strongly associated with overall psychiatric symptoms and each of nine symptom domains on the SCL-90. CONCLUSIONS:The newly developed Norwegian MACE comprehensively assesses past exposure to adverse childhood experiences with high psychometric properties. This scale is a useful tool for research questions addressing sensitive periods for childhood adversities and associated health phenotypes.

Project description:BackgroundChild abuse and neglect (CAN) is prevalent, associated with long-term adversities, and often undetected. Primary care settings offer a unique opportunity to identify CAN and facilitate referrals, when warranted. Electronic health records (EHR) contain extensive information to support healthcare decisions, yet time constraints preclude most providers from thorough EHR reviews that could indicate CAN. Strategies that summarize EHR data to identify CAN and convey this to providers has potential to mitigate CAN-related sequelae. This study used expert review/consensus and Natural Language Processing (NLP) to develop and test a lexicon to characterize children who have experienced or are at risk for CAN and compared machine learning methods to the lexicon + NLP approach to determine the algorithm's performance for identifying CAN.MethodsStudy investigators identified 90 CAN terms and invited an interdisciplinary group of child abuse experts for review and validation. We then used NLP to develop pipelines to finalize the CAN lexicon. Data for pipeline development and refinement were drawn from a randomly selected sample of EHR from patients seen at pediatric primary care clinics within a U.S. academic health center. To explore a machine learning approach for CAN identification, we used Support Vector Machine algorithms.ResultsThe investigator-generated list of 90 CAN terms were reviewed and validated by 25 invited experts, resulting in a final pool of 133 terms. NLP utilized a randomly selected sample of 14,393 clinical notes from 153 patients to test the lexicon, and .03% of notes were identified as CAN positive. CAN identification varied by clinical note type, with few differences found by provider type (physicians versus nurses, social workers, etc.). An evaluation of the final NLP pipelines indicated 93.8% positive CAN rate for the training set and 71.4% for the test set, with decreased precision attributed primarily to false positives. For the machine learning approach, SVM pipeline performance was 92% for CAN + and 100% for non-CAN, indicating higher sensitivity than specificity.ConclusionsThe NLP algorithm's development and refinement suggest that innovative tools can identify youth at risk for CAN. The next key step is to refine the NLP algorithm to eventually funnel this information to care providers to guide clinical decision making.

Project description:BACKGROUND:The definition and understanding of elder abuse and neglect in nursing homes can vary in different jurisdictions as well as among health care staff, researchers, family members and residents themselves. Different understandings of what constitutes abuse and its severity make it difficult to compare findings in the literature on elder abuse in nursing homes and complicate identification, reporting, and managing the problem. Knowledge about nursing home leaders' perceptions of elder abuse and neglect is of particular interest since their understanding of the phenomenon will affect what they signal to staff as important to report and how they investigate adverse events to ensure residents' safety. The aim of the study was to explore nursing home leaders' perceptions of elder abuse and neglect. METHODS:A qualitative exploratory study with six focus group interviews with 28 nursing home leaders in the role of care managers was conducted. Nursing home leaders' perceptions of different types of abuse within different situations were explored. The constant comparative method was used to analyse the data. RESULTS:The results of this study indicate that elder abuse and neglect are an overlooked patient safety issue. Three analytical categories emerged from the analyses: 1) Abuse from co-residents: 'A normal part of nursing home life'; resident-to-resident aggression appeared to be so commonplace that care leaders perceived it as normal and had no strategy for handling it; 2) Abuse from relatives: 'A private affair'; relatives with abusive behaviour visiting nursing homes residents was described as difficult and something that should be kept between the resident and the relatives; 3) Abuse from direct-care staff: 'An unthinkable event'; staff-to-resident abuse was considered to be difficult to talk about and viewed as not being in accordance with the leaders' trust in their employees. CONCLUSIONS:Findings in the present study show that care managers lack awareness of elder abuse and neglect, and that elder abuse is an overlooked patient safety issue. The consequence is that nursing home residents are at risk of being harmed and distressed. Care managers lack knowledge and strategies to identify and adequately manage abuse and neglect in nursing homes.

Dataset Information

The 'Maltreatment and Abuse Chronology of Exposure' (MACE) scale for the retrospective assessment of abuse and neglect during development.

Publications

The 'Maltreatment and Abuse Chronology of Exposure' (MACE) scale for the retrospective assessment of abuse and neglect during development.

Similar Datasets

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