Identification of low-effort patients through dynamometry.

J Hand Surg Am

Hand Surgical Associates, Metairie, LA, USA.

Published: November 1995

AI Article Synopsis

Article Abstract

In recent years researchers have devised a number of methods to detect patients who purposely exert low effort during grip evaluations. This study further defines the five-rung grip test introduced by Stokes and subsequently challenged by Niebuhr and Marion. New data are presented on the rapid exchange grip test. Data were collected on four groups of subjects (sincere normals, normals asked to feign weak grip, patients thought to be sincere, and patients suspected of low effort) using both tests. In calculating the standard deviation of the plotted line of the five-rung grip test, group membership (sincere or low effort) can be predicted. No statistical difference between peak scores on five-rung and rapid exchange grip tests in sincere subjects was found. A statistical difference between peak scores in the low-effort groups was shown. A model has been developed that can be used to categorize patients into low effort or sincere groups.

Download full-text PDF

Source
http://dx.doi.org/10.1016/S0363-5023(05)80158-3DOI Listing

Publication Analysis

Top Keywords

low effort
16
grip test
12
five-rung grip
8
rapid exchange
8
exchange grip
8
statistical difference
8
difference peak
8
peak scores
8
grip
6
patients
5

Similar Publications

Telephone follow-up on Medicare patient surveys remains critical.

Am J Manag Care

January 2025

RAND, 1776 Main St, Santa Monica, CA 90401. Email:

Objectives: Patient experience surveys are essential to measuring patient-centered care, a key component of health care quality. Low response rates in underserved groups may limit their representation in overall measure performance and hamper efforts to assess health equity. Telephone follow-up improves response rates in many health care settings, yet little recent work has examined this for surveys of Medicare enrollees, including those with Medicare Advantage.

View Article and Find Full Text PDF

Purpose: Patients with adolescent and young adult (AYA) cancer are recognized as a vulnerable subpopulation in high-income countries (HICs). Although survival gaps between HIC and low- and middle-income country (LMIC) children with cancer are well described, LMIC AYAs have been neglected. We conducted a systematic review to describe cancer outcomes among LMIC AYAs.

View Article and Find Full Text PDF

Despite significant global reductions in cases of pneumonia during the last 3 decades, pneumonia remains the leading cause of post-neonatal mortality in children aged <5 years. Beyond the immediate disease burden it imposes, pneumonia contributes to long-term morbidity, including lung function deficits and bronchiectasis. Viruses are the most common cause of childhood pneumonia, but bacteria also play a crucial role.

View Article and Find Full Text PDF

Purpose Of Review: To provide a narrative overview of trends and disparities in the cardiometabolic profiles of U.S. adults by synthesizing findings from nationally representative studies conducted between 1999 and 2020.

View Article and Find Full Text PDF

In silico optimization of a challenging bispecific antibody chromatography step.

Biotechnol Prog

January 2025

Automation, Digital and Learning Solutions, Cytiva, Karlsruhe, Germany.

Mechanistic modeling of chromatographic steps is an effective tool in biopharma process development that enhances process understanding and accelerates optimization efforts and subsequent risk assessment. A relatively new model for ion exchange chromatography is the colloidal particle adsorption (CPA) formalism, which promises improved separation of material and molecule-specific parameters. This case study demonstrates a straightforward CPA modeling workflow to describe an ion exchange chromatography polishing step of a knobs-into-holes construct bispecific antibody molecule.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!