Development of a score for assessing severity, predicting interventions and prognosis of musculoskeletal disorders.

نویسندگان

  • Sharan Deepak
  • P S Ajeesh
چکیده

Musculoskeletal disorders (MSD's) are a constellation of disorders. There is no single tool available which guides the clinicians to predict the severity, intervention and recovery period of the patients who is suffering from different musculoskeletal disorder. In this paper authors tried to categorize the severity of the musculoskeletal discomfort and the prognosis of the recovery period. The questionnaire was formulated using different epidemiological risk factor of the development of MSD and the effect of MSD on physical and psychosocial factors. The questionnaire contains 13 questions which include seven direct (rating was 0, 2, 4, 6, 8 and 10) and six indirect (rating was 0, 1, 2, 3, 4 and 5) questions. Results revealed a significant correlation with the prognosis of recovery and the actual recovery period (r= 0.80). It also showed a significant correlation between the total severity score and the actual recovery (r=0.82) period. Depending on the prognosis of the recovery the severity score was segregated in four categories as mild, moderate, severe and complicated. Due to small sample size the prognosis of recovery for higher severity score could not be plotted.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Assessing the Posture and predicting the factors affecting musculoskeletal disorders in computer uses by neural networks

Introduction: Working with a computer and workplace conditions expose people to risk factors of musculoskeletal disorders (MSDs). This study aimed to assess posture, examine MSDs, and determine, weigh and prioritize the risk factors among computer users by a neural network algorithm.  Material and Methods: This descriptive-analytical cross-sectional study was conducted in six phases on compute...

متن کامل

Predicting the Effective Factors on Musculoskeletal Disorders among Kerman University of Medical Sciences Computer Users through Neural Network Algorithm in 2018

Introduction: In the past 20 years, computers and their workplaces have increased at both offices and houses, which consequently has led to saving in time, energy and resources. This study aimed to weight risk factors of musculoskeletal disorders among computer users through neural network. Methods: A cross-sectional study was carried out at 200 stations in Kerman University of Medical Sciences...

متن کامل

Assessing the Factors Predicting Work-Related Musculoskeletal Disorders Among Iranian Port’s Personnel Using Regression Model

Objectives: Nowadays, ports are considered a portal for business as well as the main infrastructure for economic development worldwide. Genetic predisposition, work activity and procedures, and psychosocial preparedness are the main factors responsible for the occurrence of Work-Related Musculoskeletal Disorders (WRMSDs). The present study aimed to assess psychosocial variables affecting WMSDs ...

متن کامل

A study on the role of selective attention, vigilance and ambivalence over emotional expressiveness for predicting pain severity in patients with chronic musculoskeletal pains

Introduction: When there is a pain requiring focused clinical attention and is associated with emotional and functional disorders, it is called pain disorder. The present study aims to study the role of selective attention, vigilance and ambivalence over emotional expressiveness for predicting pain severity in patients with chronic musculoskeletal pains. Methods: The study population included 1...

متن کامل

Assessing Exposure to Risk Factors for Work-related Musculoskeletal Disorders Using ART method in a Manufacturing Company

Background & Aims of the Study: Musculoskeletal disorder (MSD) is one of the most serious consequences of improper posture or work-related strain with Symptoms of pain in one or more regions of the body. Repeated long-term work-related load can be considered as the main cause of ULWMSDs. This study was aimed to do ergonomic assessment in a manufacturing company in Kashan city u...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Work

دوره 41 Suppl 1  شماره 

صفحات  -

تاریخ انتشار 2012