Strengthening Families: Parents' Voices on Discipline and Child Rearing

This qualitative study conducted semi-structured, multi-session focus groups and interviews with twenty-seven participants to explore in-depth, participant constructs of child discipline and punishment methods and reasons for the continuing support for corporal punishment of U.S. children. The research assumed that parents want to parent well and utilized the strengths perspective as the instrument to listen to participants' voices. Narratives revealed that participants were thoughtful about discipline and parenting strategies and viewed their parent role as a serious commitment. Non-violent discipline strategies, particularly communication, were often used. However, parents generally framed use of physical punishment as “when children need spanking” versus articulating the view that corporal punishment is a choice. Parents were unfamiliar with risks associated with physical punishment and only three parents, as a result of their foster parent training, had ever heard, “Do not spank.” Participants enumerated services and recommendations that would support and inform their own parenting, as well as, benefit children and the eighty percent of women and men in the United States who become mothers and fathers. Recommendations included: creation of a national campaign to build on parent strengths and the intentionality of effective parenting; child development education and increased public awareness of positive discipline methods; parenting supports, including respite and venues for dialogue and discourse about parenting. Recommendations are intended to inform child welfare practice and policy, particularly child abuse prevention. Creating, funding, and implementing a national campaign as described would challenge the dominant child welfare paradigm from one currently perceived as punitive and focused on parents' deficits to a strengths-based paradigm that provides supports and assistance to parents and children.

Commentary on "Strengthening Families: Parents' Voices on Discipline and Child Rearing"

There is a growing consensus among professionals working with parents and children, and advocates for child rights, that a ban on the use of corporal punishment (CP) in raising children is justified in accordance with the United Nations Convention on the Rights of the Child (CRC, 1989). However, this is an issue which seems to polarize people and opponents of banning CP have attacked the scientific literature and made dire predictions of adverse consequences if parents are not allowed to use CP. The problem is that so much attention has been focused on the “to spank or not to spank” issue, the developmental benefits for children and parents stemming from positive parenting have been largely ignored. There is increasing evidence that public health approaches to increasing parenting support reduces coercive parenting practices. Breshears' study represents an effort to gain a clearer understanding of the reasons many parents continue to support CP and draws on innovative qualitative methods to argue that parents’ views about CP are important and must be taken into account in planning intervention programs.

Jean-Martin Charcot - Neurologist by Avocation, Nephrologist by Yearning

In an age of medical advances and specialization, Jean-Martin Charcot (1825-1893) helped found the discipline of neurology and in 1882 was appointed the first professor of Diseases of the Nervous System in France. As an investigator with broad interests and vast knowledge Charcot contributed to several other disciplines. An early mentor and dominant figure in Charcot's formative years was Pierre Rayer (1793-1867), famous for his seminal contributions to the study of the kidney, who gifted Charcot with his passion for clinical pathological correlations and likely a yearning for the study of kidney diseases. Famous for the clarity and incisiveness of his formal teaching presentations, Charcot lectured on the kidney at the Faculty of Medicine in Paris in 1877. Translated into English and published as a book titled Lectures on Bright's Disease, they became widely accessible and quoted in the literature through the present. In addition, at a time that he was already concentrating on the study of neurological disorders, Charcot maintained his life-long interest in the kidney and published original studies on the pathological changes of the kidney in gout and experimental lead poisoning, as well as supporting a study of hysterical ischuria by his students.

Comparing Campus Discipline Rates: A Multivariate Approach for Identifying Schools with Significantly Different than Expected Exclusionary Discipline Rates

Campus behavior management is important for ensuring classroom order and promoting positive academic outcomes. Previous studies have shown the importance of individual student and campus personnel characteristics and campus context for explaining campus discipline rates (e.g., rates of suspension and expulsion). Assessing campus discipline rates, while controlling for these individual and campus characteristics, is important for the monitoring, evaluation, and intervention role of policymakers as well as state and federal level education agencies. Systems or metrics exist that measure other student outcomes (i.e., academic performance) with controls for individual and campus characteristics, but none exist that monitor these differences for discipline rates across campuses. In this paper, we use a multivariate model to analyze a longitudinal, statewide dataset for all secondary students in Texas from 2000 to 2008 in order to examine how campus discipline rates differ across schools with statistically similar students, teachers, and campus characteristics. The findings are important for understanding that some schools with similar characteristics have significantly different exclusionary discipline rates, and they are important for informing policy and agency level decision-making. The methodology described can easily be used by monitoring agencies as well as local school districts.

Comparative Disciplinary Rates as a Tool for Reducing Exclusionary Discipline and Eliminating the School to Prison Pipeline

Invited Commentary on "Comparing Campus Discipline Rates: A Multivariate Approach for Identifying Schools with Significantly Different than Expected Exclusionary Discipline Rates" by Eric Booth and colleagues.

Data Accuracy in Medical Record Abstraction

Clinical Research Data Quality Literature Review and Pooled Analysis We present a literature review and secondary analysis of data accuracy in clinical research and related secondary data uses. A total of 93 papers meeting our inclusion criteria were categorized according to the data processing methods. Quantitative data accuracy information was abstracted from the articles and pooled. Our analysis demonstrates that the accuracy associated with data processing methods varies widely, with error rates ranging from 2 errors per 10,000 files to 5019 errors per 10,000 fields. Medical record abstraction was associated with the highest error rates (70–5019 errors per 10,000 fields). Data entered and processed at healthcare facilities had comparable error rates to data processed at central data processing centers. Error rates for data processed with single entry in the presence of on-screen checks were comparable to double entered data. While data processing and cleaning methods may explain a significant amount of the variability in data accuracy, additional factors not resolvable here likely exist. Defining Data Quality for Clinical Research: A Concept Analysis Despite notable previous attempts by experts to define data quality, the concept remains ambiguous and subject to the vagaries of natural language. This current lack of clarity continues to hamper research related to data quality issues. We present a formal concept analysis of data quality, which builds on and synthesizes previously published work. We further posit that discipline-level specificity may be required to achieve the desired definitional clarity. To this end, we combine work from the clinical research domain with findings from the general data quality literature to produce a discipline-specific definition and operationalization for data quality in clinical research. While the results are helpful to clinical research, the methodology of concept analysis may be useful in other fields to clarify data quality attributes and to achieve operational definitions. Medical Record Abstractor’s Perceptions of Factors Impacting the Accuracy of Abstracted Data Medical record abstraction (MRA) is known to be a significant source of data errors in secondary data uses. Factors impacting the accuracy of abstracted data are not reported consistently in the literature. Two Delphi processes were conducted with experienced medical record abstractors to assess abstractor’s perceptions about the factors. The Delphi process identified 9 factors that were not found in the literature, and differed with the literature by 5 factors in the top 25%. The Delphi results refuted seven factors reported in the literature as impacting the quality of abstracted data. The results provide insight into and indicate content validity of a significant number of the factors reported in the literature. Further, the results indicate general consistency between the perceptions of clinical research medical record abstractors and registry and quality improvement abstractors. Distributed Cognition Artifacts on Clinical Research Data Collection Forms Medical record abstraction, a primary mode of data collection in secondary data use, is associated with high error rates. Distributed cognition in medical record abstraction has not been studied as a possible explanation for abstraction errors. We employed the theory of distributed representation and representational analysis to systematically evaluate cognitive demands in medical record abstraction and the extent of external cognitive support employed in a sample of clinical research data collection forms. We show that the cognitive load required for abstraction in 61% of the sampled data elements was high, exceedingly so in 9%. Further, the data collection forms did not support external cognition for the most complex data elements. High working memory demands are a possible explanation for the association of data errors with data elements requiring abstractor interpretation, comparison, mapping or calculation. The representational analysis used here can be used to identify data elements with high cognitive demands.