Dataset Information

Rating scales for shoulder and elbow range of motion impairment: Call for a functional approach.

ABSTRACT:

Background

To evaluate the effect of (new) treatments or analyse prevalence and risk factors of contractures, rating scales are used based on joint range of motion. However, cut-off points for levels of severity vary between scales, and it seems unclear how cut-off points relate to function. The purpose of this study was to compare severity ratings of different rating scales for the shoulder and elbow and relate these with functional range of motion.

Methods

Often used contracture severity rating scales in orthopedics, physiotherapy, and burns were included. Functional range of motion angles for the shoulder and elbow were derived from a recent synthesis published by our group. Shoulder flexion and elbow flexion range of motion data of patients three months after a burn injury were rated with each of the scales to illustrate the effects of differences in classifications. Secondly, the shoulder and elbow flexion range of motion angles were related to the required angles to perform over 50 different activities of daily living tasks.

Results

Eighteen rating scales were included (shoulder: 6, elbow: 12). Large differences in the number of severity levels and the cut-off points between scales were determined. Rating the measured range of motions with the different scales showed substantial inconsistency in the number of joints without impairment (shoulder: 14-36%, elbow: 26-100%) or with severe impairment (shoulder: < 10%-29%, elbow 0%-17%). Cut-off points of most scales were not related to actual function in daily living.

Conclusion

There is an urgent need for rating scales that express the severity of contractures in terms of loss of functionality. This study proposes a direction for a solution.

SUBMITTER: Oosterwijk AM

PROVIDER: S-EPMC6070201 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Rating scales for shoulder and elbow range of motion impairment: Call for a functional approach.

Oosterwijk Anouk M AM Nieuwenhuis Marianne K MK Schouten Hennie J HJ van der Schans Cees P CP Mouton Leonora J LJ

PloS one 20180801 8

<h4>Background</h4>To evaluate the effect of (new) treatments or analyse prevalence and risk factors of contractures, rating scales are used based on joint range of motion. However, cut-off points for levels of severity vary between scales, and it seems unclear how cut-off points relate to function. The purpose of this study was to compare severity ratings of different rating scales for the shoulder and elbow and relate these with functional range of motion.<h4>Methods</h4>Often used contracture ...[more]

PMID: 30067776

Similar Datasets

Project description:Elbow injuries are a significant and increasing issue in baseball. Elbow injuries account for 16% of all injuries sustained at the professional level and collegiate level. Because of the continued rise in injury rates, loss of performance value, and medical burden, sports medicine clinicians have attempted to research the causes underlying this injury epidemic in an attempt to help mitigate baseball elbow injuries. Shoulder range of motion (ROM) is the most researched clinical metric related to elbow injuries in baseball and has the greatest consensus as a viable prognostic factor specifically for medial elbow injury. Shoulder ROM is easy to measure, can be modified through stretching and manual therapy interventions, and can be easily assessed during preseason screening throughout all baseball levels. Despite a large number of studies and the widespread use of shoulder ROM in injury risk screening, current findings are unclear as to whether there is a true cause-effect relation with baseball elbow injuries. We argue that the conflicting findings revolving around the value of shoulder ROM measurements associated with baseball elbow injuries are the result of 4 gaps in the research approaches implemented to date: ambiguous research questions, mixed study populations, statistical models used, and shoulder ROM methodology. Specifically, there is a mismatch of methods, statistical models, and conclusions such as (1) investigating the association (i.e., correlation) between shoulder ROM measurements and injury and (2) investigating the cause-effect relation of shoulder ROM to baseball injuries. The purpose of this article is to detail the required scientific steps to evaluate whether preseason shoulder ROM is a potential causal factor for pitching elbow injury. We also provide recommendations to allow for future causal inferences to be made between shoulder ROM and elbow injury. This information will ultimately assist in informing clinical models of care and decision making for baseball throwers.

Project description:BackgroundElbow and wrist chronic conditions are very common among musculoskeletal problems. These painful conditions affect muscle function, which ultimately leads to a decrease in the joint's Range Of Motion (ROM). Due to their portability and ease of use, goniometers are still the most widespread tool for measuring ROM. Inertial sensors are emerging as a digital, low-cost and accurate alternative. However, whereas inertial sensors are commonly used in research studies, due to the lack of information about their validity and reliability, they are not widely used in the clinical practice. The goal of this study is to assess the validity and intra-inter-rater reliability of inertial sensors for measuring active ROM of the elbow and wrist.Materials and methodsMeasures were taken simultaneously with inertial sensors (Werium™ system) and a universal goniometer. The process involved two physiotherapists ("rater A" and "rater B") and an engineer responsible for the technical issues. Twenty-nine asymptomatic subjects were assessed individually in two sessions separated by 48 h. The procedure was repeated by rater A followed by rater B with random order. Three repetitions of each active movement (elbow flexion, pronation, and supination; and wrist flexion, extension, radial deviation and ulnar deviation) were executed starting from the neutral position until the ROM end-feel; that is, until ROM reached its maximum due to be stopped by the anatomy. The coefficient of determination (r 2) and the Intraclass Correlation Coefficient (ICC) were calculated to assess the intra-rater and inter-rater reliability. The Standard Error of the Measurement and the Minimum Detectable Change and a Bland-Altman plots were also calculated.ResultsSimilar ROM values when measured with both instruments were obtained for the elbow (maximum difference of 3° for all the movements) and wrist (maximum difference of 1° for all the movements). These values were within the normal range when compared to literature studies. The concurrent validity analysis for all the movements yielded ICC values ≥0.78 for the elbow and ≥0.95 for the wrist. Concerning reliability, the ICC values denoted a high reliability of inertial sensors for all the different movements. In the case of the elbow, intra-rater and inter-rater reliability ICC values range from 0.83 to 0.96 and from 0.94 to 0.97, respectively. Intra-rater analysis of the wrist yielded ICC values between 0.81 and 0.93, while the ICC values for the inter-rater analysis range from 0.93 to 0.99.ConclusionsInertial sensors are a valid and reliable tool for measuring elbow and wrist active ROM. Particularly noteworthy is their high inter-rater reliability, often questioned in measurement tools. The lowest reliability is observed in elbow prono-supination, probably due to skin artifacts. Based on these results and their advantages, inertial sensors can be considered a valid assessment tool for wrist and elbow ROM.

Project description:OBJECTIVES:To describe the surgical treatment and patient outcomes of chronic elbow dislocations. DESIGN:Retrospective review. SETTING:Two tertiary referral centers. PATIENTS/PARTICIPANTS:All patients with surgically treated chronic elbow dislocation with no associated articular fracture from January 2009 to January 2015. INTERVENTION:Review of patient demographics, injury chronicity, surgical technique, and patient outcomes. MAIN OUTCOME MEASUREMENT:Clinical outcomes included elbow range of motion and complications. Radiographic outcomes included the presence of heterotopic ossification. Patient-reported outcomes included the Mayo Elbow Performance Index (MEPI) and the Summary Outcome Determination (SOD). RESULTS:Thirty-two patients with mean follow-up of 22 months (range, 13-41 months) were included. The mean dislocation duration was 6 months (range, 1-34 months). The mean preoperative range of motion was 8 degrees (range, 0-30 degrees). There were no infections or recurrent dislocations. One patient developed transient ulnar nerve palsy postoperatively. There were no cases of new or progressive heterotopic ossification. The mean postoperative extension was 31 degrees (range, 0-75 degrees), and the mean postoperative flexion was 132 degrees (range, 95-150 degrees); the mean final arc of motion was 101 degrees (range, 50-140 degrees). The mean postoperative MEPI was 93 (range, 70-100), and the mean SOD score was 9 (range, 6-10). Using the MEPI, 97% (31/32 patients) had good or excellent outcome. There was no difference in flexion/extension arc or MEPI scores between groups of elbows older and younger than 17 years or dislocations less or more than 3 months. CONCLUSION:This is the largest case series of surgically treated patients with chronic elbow dislocation. Using our surgical technique, 97% of patients had good or excellent outcome with a low complication rate. Open reduction of chronic elbow dislocation can be accomplished while permitting early motion with minimal recurrent dislocation risk. LEVEL OF EVIDENCE:Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Dataset Information

Rating scales for shoulder and elbow range of motion impairment: Call for a functional approach.

Background

Methods

Results

Conclusion

Publications

Rating scales for shoulder and elbow range of motion impairment: Call for a functional approach.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets