Development of short forms for screening children's dental caries and urgent treatment needs using item response theory and machine learning methods.

OBJECTIVES: Surveys can assist in screening oral diseases in populations to enhance the early detection of disease and intervention strategies for children in need. This paper aims to develop short forms of child-report and proxy-report survey screening instruments for active dental caries and urgent treatment needs in school-age children. METHODS: This cross-sectional study recruited 497 distinct dyads of children aged 8-17 and their parents between 2015 to 2019 from 14 dental clinics and private practices in Los Angeles County. We evaluated responses to 88 child-reported and 64 proxy-reported oral health questions to select and calibrate short forms using Item Response Theory. Seven classical Machine Learning algorithms were employed to predict children's active caries and urgent treatment needs using the short forms together with family demographic variables. The candidate algorithms include CatBoost, Logistic Regression, K-Nearest Neighbors (KNN), Naïve Bayes, Neural Network, Random Forest, and Support Vector Machine. Predictive performance was assessed using repeated 5-fold nested cross-validations. RESULTS: We developed and calibrated four ten-item short forms. Naïve Bayes outperformed other algorithms with the highest median of cross-validated area under the ROC curve. The means of best testing sensitivities and specificities using both child-reported and proxy-reported responses were 0.84 and 0.30 for active caries, and 0.81 and 0.31 for urgent treatment needs respectively. Models incorporating both response types showed a slightly higher predictive accuracy than those relying on either child-reported or proxy-reported responses. CONCLUSIONS: The combination of Item Response Theory and Machine Learning algorithms yielded potentially useful screening instruments for both active caries and urgent treatment needs of children. The survey screening approach is relatively cost-effective and convenient when dealing with oral health assessment in large populations. Future studies are needed to further leverage the customize and refine the instruments based on the estimated item characteristics for specific subgroups of the populations to enhance predictive accuracy.

Quantitative data collection approaches in subject-reported oral health research: a scoping review.

BACKGROUND: This scoping review reports on studies that collect survey data using quantitative research to measure self-reported oral health status outcome measures. The objective of this review is to categorize measures used to evaluate self-reported oral health status and oral health quality of life used in surveys of general populations. METHODS: The review is guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) with the search on four online bibliographic databases. The criteria include (1) peer-reviewed articles, (2) papers published between 2011 and 2021, (3) only studies using quantitative methods, and (4) containing outcome measures of self-assessed oral health status, and/or oral health-related quality of life. All survey data collection methods are assessed and papers whose methods employ newer technological approaches are also identified. RESULTS: Of the 2981 unduplicated papers, 239 meet the eligibility criteria. Half of the papers use impact scores such as the OHIP-14; 10% use functional measures, such as the GOHAI, and 26% use two or more measures while 8% use rating scales of oral health status. The review identifies four data collection methods: in-person, mail-in, Internet-based, and telephone surveys. Most (86%) employ in-person surveys, and 39% are conducted in Asia-Pacific and Middle East countries with 8% in North America. Sixty-six percent of the studies recruit participants directly from clinics and schools, where the surveys were carried out. The top three sampling methods are convenience sampling (52%), simple random sampling (12%), and stratified sampling (12%). Among the four data collection methods, in-person surveys have the highest response rate (91%), while the lowest response rate occurs in Internet-based surveys (37%). Telephone surveys are used to cover a wider population compared to other data collection methods. There are two noteworthy approaches: 1) sample selection where researchers employ different platforms to access subjects, and 2) mode of interaction with subjects, with the use of computers to collect self-reported data. CONCLUSION: The study provides an assessment of oral health outcome measures, including subject-reported oral health status and notes newly emerging computer technological approaches recently used in surveys conducted on general populations. These newer applications, though rarely used, hold promise for both researchers and the various populations that use or need oral health care.

Investigating Perceptions of Teachers and School Nurses on Child and Adolescent Oral Health in Los Angeles County.

This study reports the results of focus groups with school nurses and teachers from elementary, middle, and high schools to explore their perceptions of child and adolescent oral health. Participants included 14 school nurses and 15 teachers (83% female; 31% Hispanic; 21% White; 21% Asian; 14% African American; and 13% Others). Respondents were recruited from Los Angeles County schools and scheduled by school level for six one-hour focus groups using Zoom. Audio recordings were transcribed, reviewed, and saved with anonymization of speaker identities. NVivo software (QSR International, Melbourne, Australia) was used to facilitate content analysis and identify key themes. The nurses' rate of "Oral Health Education" comments statistically exceeded that of teachers, while teachers had higher rates for "Parental Involvement" and "Mutual Perception" comments. "Need for Care" was perceived to be more prevalent in immigrants to the United States based on student behaviors and complaints. "Access to Care" was seen as primarily the nurses' responsibilities. Strong relationships between community clinics and schools were viewed by some as integral to students achieving good oral health. The results suggest dimensions and questions important to item development for oral health surveys of children and parents to address screening, management, program assessment, and policy planning.

Using a Machine Learning Algorithm to Predict the Likelihood of Presence of Dental Caries among Children Aged 2 to 7.

BACKGROUND: Dental caries is the most common chronic childhood infectious disease and is a serious public health problem affecting both developing and industrialized countries, yet it is preventable in most cases. This study evaluated the potential of screening for dental caries among children using a machine learning algorithm applied to parent perceptions of their child's oral health assessed by survey. METHODS: The sample consisted of 182 parents/caregivers and their children 2-7 years of age living in Los Angeles County. Random forest (a machine learning algorithm) was used to identify survey items that were predictors of active caries and caries experience. We applied a three-fold cross-validation method. A threshold was determined by maximizing the sum of sensitivity and specificity conditional on the sensitivity of at least 70%. The importance of survey items to classifying active caries and caries experience was measured using mean decreased Gini (MDG) and mean decreased accuracy (MDA) coefficients. RESULTS: Survey items that were strong predictors of active caries included parent's age (MDG = 0.84; MDA = 1.97), unmet needs (MDG = 0.71; MDA = 2.06) and the child being African American (MDG = 0.38; MDA = 1.92). Survey items that were strong predictors of caries experience included parent's age (MDG = 2.97; MDA = 4.74), child had an oral health problem in the past 12 months (MDG = 2.20; MDA = 4.04) and child had a tooth that hurt (MDG = 1.65; MDA = 3.84). CONCLUSION: Our findings demonstrate the potential of screening for active caries and caries experience among children using surveys answered by their parents.

Computerized adaptive testing and short form development for child and adolescent oral health patient-reported outcomes measurement.

OBJECTIVES: To develop computerized adaptive testing (CAT) and short forms of self-report oral health measures that are predictive of both the children's oral health status index (COHSI) and the children's oral health referral recommendation (COHRR) scales, for children and adolescents, ages 8-17. MATERIAL AND METHODS: Using final item calibration parameters (discrimination and difficulty parameters) from the item response theory analysis, we performed post hoc CAT simulation. Items most frequently administered in the simulation were incorporated for possible inclusion in final oral health assessment toolkits, to select the best performing eight items for COHSI and COHRR. RESULTS: Two previously identified unidimensional sets of self-report items consisting of 19 items for the COHSI and 22 items for the COHRR were administered through CAT resulting in eight-item short forms for both the COHSI and COHRR. Correlations between the simulated CAT scores and the full item bank representing the latent trait are r = .94 for COHSI and r = .96 for COHRR, respectively, which demonstrated high reliability of the CAT and short form. CONCLUSIONS: Using established rigorous measurement development standards, the CAT and corresponding eight-item short form items for COHSI and COHRR were developed to assess the oral health status of children and adolescents, ages 8-17. These measures demonstrated good psychometric properties and can have clinical utility in oral health screening and evaluation and clinical referral recommendations.

Development of toolkits for detecting dental caries and caries experience among children using self-report and parent report.

OBJECTIVES: To develop child- and parent-reported toolkits for active caries and caries experience in children and adolescents, ages 8-17. METHODS: A sample of 398 child/parent dyads recruited from 12 dental practices in Los Angeles County completed a computer-assisted survey that assessed oral health perceptions. In addition, children received a dental examination that identified the presence or absence of active caries and caries experience. A Multiple Adaptive Regression Splines model was used to identify a subset of survey items associated with active caries and caries experience. The splines and coefficients were refined by generalized cross-validation. Sensitivity and specificity for both dependent variables were evaluated. RESULTS: Eleven child self-reported items were identified that had sensitivity of 0.82 and specificity of 0.45 relative to active caries. Twelve parent-reported items had a sensitivity of 0.86 and specificity of 0.50. Seven child self-reported items had a sensitivity of 0.86 and specificity of 0.34, and 11 parent-reported items had a sensitivity of 0.86 and specificity of 0.47 for caries experience. CONCLUSIONS: The survey items identified here are useful in distinguishing children with and without active caries and with and without caries experience. This research presents a path towards using children's and their parents' reports about oral health to screen for clinically determined caries and caries exposure. The items identified in this study can be useful when clinical information is unavailable.

Qualitative methods in the development of a parent survey of children's oral health status.

BACKGROUND: Parents' perceptions of their 8-17-year-old children's oral health status were assessed using a sample from diverse dental clinics in Greater Los Angeles County to identify constructs for a survey instrument. METHODS: Focus groups with 29 parents or guardians were conducted to identify themes that informed development of survey items. The draft items were administered to a different group of 32 parents or guardians in cognitive interviews, and revised for subsequent field-testing. RESULTS: Thematic and narrative analyses were performed after the focus groups and key lay-oriented dimensions were uncovered, notably the relationship between oral health, systemic health and the life course. In the cognitive interviews, parents entered multiple responses to questions related to the look of their child's teeth, and their overall perception of tooth color. Parents also assessed their child's fear or discomfort with the dental experience, and other social and psychological concerns related to oral health status. The temporal dimensions of certain items were specified; for example, oral pain and mood items were revised to include duration of the symptom or mood state. As parents tended to confuse oral health maintenance and prevention, these two related concepts were separated into two items. Based on the qualitative work, we revised items in preparation for a field test. CONCLUSIONS: As a PRO measurement study, qualitative research informed a field test survey to assess factors associated with oral health status and the individual's perceptions and subjective views of these constructs for eventual item development for epidemiological and clinical use.

Child and adolescent perceptions of oral health over the life course.

PURPOSE: To elicit perceptions of oral health in children and adolescents as an initial step in the development of oral health item banks for the Patient-Reported Oral Health Outcomes Measurement Information System project. METHODS: We conducted focus groups with ethnically, socioeconomically, and geographically diverse youth (8-12, 13-17 years) to identify perceptions of oral health status. We performed content analysis, including a thematic and narrative analysis, to identify important themes. RESULTS: We identified three unique themes that the youth associated with their oral health status: (1) understanding the value of maintaining good oral health over the life course, with respect to longevity and quality of life in the adult years; (2) positive association between maintaining good oral health and interpersonal relationships at school, and dating, for older youth; and (3) knowledge of the benefits of orthodontic treatment to appearance and positive self-image, while holding a strong view as to the discomfort associated with braces. CONCLUSIONS: The results provide valuable information about core domains for the oral health item banks to be developed and generated content for new items to be developed and evaluated with cognitive interviews and in a field test.

Ebola: translational science considerations.

We are currently in the midst of the most aggressive and fulminating outbreak of Ebola-related disease, commonly referred to as "Ebola", ever recorded. In less than a year, the Ebola virus (EBOV, Zaire ebolavirus species) has infected over 10,000 people, indiscriminately of gender or age, with a fatality rate of about 50%. Whereas at its onset this Ebola outbreak was limited to three countries in West Africa (Guinea, where it was first reported in late March 2014, Liberia, where it has been most rampant in its capital city, Monrovia and other metropolitan cities, and Sierra Leone), cases were later reported in Nigeria, Mali and Senegal, as well as in Western Europe (i.e., Madrid, Spain) and the US (i.e., Dallas, Texas; New York City) by late October 2014. World and US health agencies declared that the current Ebola virus disease (EVD) outbreak has a strong likelihood of growing exponentially across the world before an effective vaccine, treatment or cure can be developed, tested, validated and distributed widely. In the meantime, the spread of the disease may rapidly evolve from an epidemics to a full-blown pandemic. The scientific and healthcare communities actively research and define an emerging kaleidoscope of knowledge about critical translational research parameters, including the virology of EBOV, the molecular biomarkers of the pathological manifestations of EVD, putative central nervous system involvement in EVD, and the cellular immune surveillance to EBOV, patient-centered anthropological and societal parameters of EVD, as well as translational effectiveness about novel putative patient-targeted vaccine and pharmaceutical interventions, which hold strong promise, if not hope, to curb this and future Ebola outbreaks. This work reviews and discusses the principal known facts about EBOV and EVD, and certain among the most interesting ongoing or future avenues of research in the field, including vaccination programs for the wild animal vectors of the virus and the disease from global translational science perspective.

Viral immune evasion in dengue: toward evidence-based revisions of clinical practice guidelines.

UNLABELLED: Dengue, a leading cause of illness and death in the tropics and subtropics since the 1950׳s, is fast spreading in the Western hemisphere. Over 30% of the world׳s population is at risk for the mosquitoes that transmit any one of four related Dengue viruses (DENV). Infection induces lifetime protection to a particular serotype, but successive exposure to a different DENV increases the likelihood of severe form of dengue fever (DF), dengue hemorrhagic fever (DHF), or dengue shock syndrome (DSS). Prompt supportive treatment lowers the risk of developing the severe spectrum of Dengue-associated physiopathology. Vaccines are not available, and the most effective protective measure is to prevent mosquito bites. Here, we discuss selected aspects of the syndemic nature of Dengue, including its potential for pathologies of the central nervous system (CNS). We examine the fundamental mechanisms of cell-mediated and humoral immunity to viral infection in general, and the specific implications of these processes in the regulatory control of DENV infection, including DENV evasion from immune surveillance. In line with the emerging model of translational science in health care, which integrates translational research (viz., going from the patient to the bench and back to the patient) and translational effectiveness (viz., integrating and utilizing the best available evidence in clinical settings), we examine novel and timely evidence-based revisions of clinical practice guidelines critical in optimizing the management of DENV infection and Dengue pathologies. We examine the role of tele-medicine and stakeholder engagement in the contemporary model of patient centered, effectiveness-focused and evidence-based health care. ABBREVIATIONS: BBB - blood-brain barrier, CNS - central nervous system, DAMP - damage-associated molecular patterns, DENV - dengue virus, DF - dengue fever, DHF - dengue hemorrhagic fever, DSS - dengue shock syndrome, DALYs - isability adjusted life years, IFN-g - interferon-gamma, ILX - interleukinX, JAK/STAT - janus kinase (JAK) / Signal transducer and activator of transcription (STAT), LT - Escherichia coli heat-labile enterotoxin formulations deficient in GM1 binding by mutation (LT[G33D]), MCP-1 - monocyte chemotactic protein 1, M-CSF - macrophage colony-stimulating fact, MHC - major histocompatibility complex, MIF - macrophage migration inhibitory factor, [MIP-1]-α / -ß - macrophage inflammatory protein-1 alpha and beta, mAb - monoclonal antibody, NS1 - non-structural protein 1 of dengue virus, NK - natural killer cells, PAMP - pathogen-associated molecular patterns, PBMC - peripheral blood mononuclear cells, TBF-b - transforming growth factor-beta, TNF-α - tumor necrosis-alpha, VHFs - virus hemorrhagic fevers, WHO - World Health Organization.

Socio-behavioral predictors of self-reported oral health-related quality of life.

PURPOSE: To examine the relationship between social and financial support, behavioral and sociodemographic variables, and oral health-related quality of life (OHRQoL) in a national probability sample. METHODS: The National Health and Nutrition Examination Survey (NHANES) 2003-2004 data system was used; there were 12,761 persons selected for the sample, 10,122 of those were interviewed (79.3 %). Oral health-related quality of life, the outcome measure, was evaluated using seven items derived from the 14-item NHANES Oral Health Impact Profile (OHIP) included in the home interview. The aggregated OHRQoL scores ranged from 7 to 28. We included only adults, aged 20 and older, who self-reported their alcohol use during home interview (n = 5,014). Independent variables were social and financial support, and behavioral variables (smoking and alcohol use), with sociodemographic variables as covariates. Multiple linear regression analysis used weighted data representing 124 million persons. RESULTS: Lack of financial support reduced OHRQoL, but not social support. Smoking reduced OHRQoL, but not alcohol use. Compared to ages 20-24, persons aged 24-44 and aged 45-64 had significantly lower OHRQoL scores, but persons aged 65+ did not. Latinos' OHRQoL scores were lower than those of whites; there were no differences between whites and other ethnic groups. CONCLUSION: The model provides insights into the perception of OHRQoL in that oral health related to the ability to pay for care. Those in the middle years (24-64) rate their OHRQoL lower than do their younger cohorts; there is no difference in OHRQoL between the young and the old.

Predictive power of the severity measure of attachment loss for periodontal care need.

BACKGROUND: The prevalence of periodontal diseases is high, and >15% of adults have severe gum disease. Clinical attachment loss (AL) is one of the most important measures for periodontal disease severity. With AL, one could measure the worst scenario, the average, or the cumulative sum of AL among all teeth. The objective of this study is to evaluate which of the 15 measures of periodontal problems (e.g., maximum, mean, and cumulative AL) best predict the need for periodontal treatment. METHODS: Using detailed periodontal data obtained through clinical examination from the National Health and Nutrition Examination Survey 1999 to 2002, weighted logistic regression was used to model the periodontal treatment need of 15 different periodontal disease measures. The outcome measure is the clinically determined periodontal need. RESULTS: After adjustment for the covariates of age, sex, ethnicity, education, smoking status, and diabetes, the three most predictive measures were identified as: 1) the sum of the maximum mid-buccal (B) and mesio-buccal (MB) measures, which reflects the worst case of both B and MB measures; 2) the sum of the maximum MB measure or the worst case of the MB measure; and 3) the sum of all B and MB measures, or the cumulative AL measures. CONCLUSIONS: Cumulative periodontal morbidity, particularly the worst case of B and MB measures, has the strongest impact on the need for periodontal care. All the demographic variables and covariates follow the classic pattern of association with periodontal disease.

Disaster Research Team Building: A Case Study of a Web-based Disaster Research Training Program.

This case study describes the process and outcomes of the Northwest Center for Public Health Practice Child and Family Disaster Research Training (UWDRT) Program housed at the University of Washington, which used web-based distance learning technology. The purposes of this program were to provide training and to establish a regional cadre of researchers and clinicians; to increase disaster mental health research capacity and collaboration; and to improve the scientific rigor of research investigations of disaster mental health in children and families. Despite a number of obstacles encountered in development and implementation, outcomes of this program included increased team member awareness and knowledge of child and family disaster mental health issues; improved disaster and public health instruction and training independent of the UWDRT program; informed local and state disaster response preparedness and response; and contributions to the child and family disaster mental health research literature.

Oral health status and the epidemiologic paradox within Latino immigrant groups.

BACKGROUND: According to the United States census, there are 28 categories that define "Hispanic/Latinos." This paper compares differences in oral health status between Mexican immigrants and other Latino immigrant groups. METHODS: Derived from a community-based sample (N = 240) in Los Angeles, this cross-sectional study uses an interview covering demographic and behavioral measures, and an intraoral examination using NIDCR epidemiologic criteria. Descriptive, bivariate analysis, and multiple regression analysis were conducted to examine the determinants that are associated with the Oral Health Status Index (OHSI). RESULTS: Mexican immigrants had a significantly higher OHSI (p < .05) compared to other Latinos. The multilinear regression showed that both age and gender (p < .05), percentage of untreated decayed teeth (p < .001), number of replaced missing teeth (p < .001), and attachment loss (p < .001) were significant. CONCLUSIONS: Compared with the other Latino immigrants in our sample, Mexican immigrants have significantly better oral health status. This confirms the epidemiologic paradox previously found in comparisons of Mexicans with whites and African Americans. In this case of oral health status the paradox also occurs between Mexicans and other Latinos. Therefore, when conducting oral health studies of Latinos, more consideration needs to be given to differences within Latino subgroups, such as their country of origin and their unique ethnic and cultural characteristics.

From Systematic Reviews to Clinical Recommendations for Evidence-Based Health Care: Validation of Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) for Grading of Clinical Relevance.

Research synthesis seeks to gather, examine and evaluate systematically research reports that converge toward answering a carefully crafted research question, which states the problem patient population, the intervention under consideration, and the clinical outcome of interest. The product of the process of systematically reviewing the research literature pertinent to the research question thusly stated is the "systematic review".The objective and transparent approach of the systematic review aims to minimize bias. Most systematic reviews yield quantitative analyses of measurable data (e.g., acceptable sampling analysis, meta-analysis). Systematic reviews may also be qualitative, while adhering to accepted standards for gathering, evaluating, and reporting evidence. Systematic reviews provide highly rated recommendations for evidence-based health care; but, systematic reviews are not equally reliable and successful in minimizing bias.Several instruments are available to evaluate the quality of systematic reviews. The 'assessment of multiple systematic reviews' (AMSTAR) was derived from factor analysis of the most relevant items among them. AMSTAR consists of eleven items with good face and content validity for measuring the methodological quality of systematic reviews, has been widely accepted and utilized, and has gained in reliability, reproducibility. AMSTAR does not produce quantifiable assessments of systematic review quality and clinical relevance. In this study, we have revised the AMSTAR instrument, detracting nothing from its content and construct validity, and utilizing the very criteria employed in the development of the original tool, with the aim of yielding an instrument that can quantify the quality of systematic reviews. We present validation data of the revised AMSTAR (R-AMSTAR), and discuss its implications and application in evidence-based health care.

Calibration of self-reported oral health to clinically determined standards.

OBJECTIVE: Self-report of oral health is an inexpensive approach to assessing an individual's oral health status, but it is heavily influenced by personal views and usually differs from that of clinically determined oral health status. To assist researchers and clinicians in estimating oral health self-report, we summarize clinically determined oral health measures that can objectively measure oral health and evaluate the discrepancies between self-reported and clinically determined oral health status. We test hypotheses of trends across covariates, thereby creating optimal calibration models and tools that can adjust self-reported oral health to clinically determined standards. METHODS: Using National Health and Nutrition Examination Survey (NHANES) data, we examined the discrepancy between self-reported and clinically determined oral health. We evaluated the relationship between the degree of this discrepancy and possible factors contributing to this discrepancy, such as patient characteristics and general health condition. We used a regression approach to develop calibration models for self-reported oral health. RESULTS: The relationship between self-reported and clinically determined oral health is complex. Generally, there is a discrepancy between the two that can best be calibrated by a model that includes general health condition, number of times a person has received health care, gender, age, education, and income. CONCLUSION: The model we developed can be used to calibrate and adjust self-reported oral health status to that of clinically determined standards and for oral health screening of large populations in federal, state, and local programs, enabling great savings in resources used in dental care.

Enhancing national capacity to conduct child and family disaster mental health research.

A substantial number of children and families experience emotional difficulties in the aftermath of disasters and terrorist events. Only recently has training in disaster preparedness and response been systematically incorporated into the curricula of mental health disciplines. The goal of the Child & Family Disaster Research Training & Education Program is to enhance the nation's capacity and infrastructure needed to conduct rigorous disaster mental health research on children and families. This article describes the creation and training of 10 specialized research teams, curriculum development, implementation of the program, and progress to date as well as lessons learned and challenges to sustainability.

Building National Capacity for Child and Family Disaster Mental Health Research.

Disaster mental health is a burgeoning field with numerous opportunities for professional involvement in preparedness, response, and recovery efforts. Research is essential to advance professional understanding of risk and protective factors associated with disaster outcomes; to develop an evidence base for acute, intermediate, and long-term mental health approaches to address child, adult, family, and community disaster-related needs; and to inform policy and guide national and local disaster preparedness, response, and recovery programs. To address the continued need for research in this field, we created the Child & Family Disaster Research Training & Education (DRT) program, which is focused specifically on enhancing national capacity to conduct disaster mental health research related to children, a population particularly vulnerable to disaster trauma. This paper describes the structure and organization of the DRT program, reviews the training curriculum, discusses implementation and evaluation of the program, and reviews obstacles encountered in establishing the program. Finally, key lessons learned are reviewed for the purpose of guiding replication of the DRT model to address other areas of community mental health.

Multi-informant assessment of maltreated children: convergent and discriminant validity of the TSCC and TSCYC.

OBJECTIVE: This study examined the convergent and discriminant validity of two trauma symptom measures, the Trauma Symptom Checklist for Children (TSCC) [Briere, J. (1996). Trauma Symptom Checklist for Children (TSCC). Odessa, FL: Psychological Assessment Resources] and the Trauma Symptom Checklist for Young Children (TSCYC) [Briere, J. (2005). Trauma Symptom Checklist for Young Children (TSCYC). Odessa, FL: Psychological Assessment Resources]. METHODS: Children's scores on the TSCC and their caretakers' ratings on the TSCYC were analyzed in a study of 310 children presenting to one of two child abuse treatment centers. RESULTS: TSCC and TSCYC scales generally converged in their assessment of symptomatology in maltreated children. Equivalent scales measuring anxiety, depression, anger, dissociation, and sexual concerns were generally most correlated with one another. Similarly, the Posttraumatic Stress-Intrusion (PTS-I) scale of the TSCYC correlated highest with the Posttraumatic Stress (PTS) and Anxiety (ANX) scales of the TSCC, the TSCYC Posttraumatic Stress-Arousal (PTS-AR) scale was correlated with the TSCC ANX scale, and the TSCC PTS scale was most correlated with the TSCYC ANX, PTS-I, and Sexual Concerns (SC) scales. The TSCYC Posttraumatic Stress-Avoidance scale was unrelated to any TSCC scale. Discriminant function analysis revealed that the TSCC PTS scale was the best single predictor of sexual abuse-related PTSD status as identified by the TSCYC. CONCLUSIONS: The TSCC and TSCYC display moderate convergent and discriminant validity with respect to one another, despite different information sources. Nevertheless, the relatively small association between relevant TSCC and TSCYC scales indicates that different symptom informants may have different perspectives on the child's symptomatology; an outcome that may be beneficial when both measures are administered simultaneously. PRACTICE IMPLICATIONS: These results reinforce the notion that both child- and parent/caretaker report measures should be used in the evaluation of traumatized children, so that multiple sources of information can be considered simultaneously. In the current context, administration of the TSCC to the child and the TSCYC to the caretaker, when appropriate (i.e., in children 8-12 years of age) may yield more clinical information on the child's symptomatology than either measure would alone-perhaps especially in cases when one of the two respondents under- or over-reports the child's distress.