Objective: Competence to proceed (CTP) is a constitutional protection intended to facilitate fairness and dignity of court proceedings. Researchers have estimated that between 60,000 and 94,000 defendants are evaluated for CTP each year. Yet no research has systematically identified the number of evaluations conducted each year, despite their critical role and many profound implications. We used large-scale, systematic data collection to address this knowledge gap.
Hypotheses: Given the siloed nature of the judicial and forensic mental health systems, we anticipated incomplete data and that the number of evaluations would far exceed previous estimates.
Method: In September 2019, we used public information requests to solicit CTP evaluation order data from the judiciaries of 50 U.S. states, the District of Columbia, and the Federal Bureau of Prisons. We accepted evaluation proxies, such as evaluations ordered or evaluations filed, from the 2018/2019 calendar/fiscal year. We used Uniform Crime Reporting data to estimate a nationwide evaluation-to-arrest ratio and annual evaluation volume.
Results: Twenty-five states provided data. We deemed data from 18 states acceptable while acknowledging that data likely underrepresented actual evaluation volume. By extrapolating data from these 18 states, we estimated a conservative national evaluation-to-arrest ratio of 0.015 (95% confidence interval [-0.007, 0.037]), which suggested that 15 evaluations are conducted per 1,000 arrests each year. Consequently, it seems likely that at least 140,000 evaluations are ordered each year nationwide, with several hundred people referred for evaluations each day.
Conclusions: Annual CTP evaluation volume likely far exceeds previous estimates. Transparent data are difficult, if not impossible, to obtain. As a result, researchers, legal and forensic mental health professionals, and policymakers lack the ability to implement informed, constitutionally protected CTP practices. Key implications, research directions, and detailed data infrastructure recommendations are provided. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1037/lhb0000565 | DOI Listing |
Sci Rep
December 2024
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.
View Article and Find Full Text PDFSci Rep
December 2024
KAUST Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia.
Analyzing microbial samples remains computationally challenging due to their diversity and complexity. The lack of robust de novo protein function prediction methods exacerbates the difficulty in deriving functional insights from these samples. Traditional prediction methods, dependent on homology and sequence similarity, often fail to predict functions for novel proteins and proteins without known homologs.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Diagnostic Radiology, Dalhousie University, Halifax, Canada.
The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.
View Article and Find Full Text PDFSci Rep
December 2024
School of Mechanical Engineering, Liaoning Engineering Vocational College, Tieling, 112008, Liaoning, People's Republic of China.
The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model of the multi-rigid-body system. We input acceleration information and use the second-order modulation function to complete the online real-time identification of the joint surface parameters, thereby establishing the self-healing mechanical model of the multi-rigid-body system.
View Article and Find Full Text PDFSci Rep
December 2024
Clermont Auvergne University, CNRS, IRD, OPGC, Magmas and Volcanoes Laboratory, 63000, Clermont-Ferrand, France.
The new submarine volcano Fani Maoré offshore Mayotte (Comoros archipelago) discovered in 2019 has raised the awareness of a possible future eruption in Petite-Terre island, located on the same 60 km-long volcanic chain. In this context of a renewal of the volcanic activity, we present here the first volcanic hazard assessment in Mayotte, focusing on the potential reactivation of the Petite-Terre eruptive centers. Using the 2-D tephra dispersal model HAZMAP and the 1979 - 2021 meteorological ERA-5 database, we first identify single eruptive scenarios of various impacts for the population of Mayotte.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!