The Experts below are selected from a list of 69 Experts worldwide ranked by ideXlab platform
Hubert L Rosomoff - One of the best experts on this subject based on the ideXlab platform.
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validity of the dictionary of occupational titles residual functional capacity battery
The Clinical Journal of Pain, 1999Co-Authors: David A Fishbain, Elsayed Abdelmoty, R B Cutler, Tarek M Khalil, Hubert L Rosomoff, R SteelerosomoffAbstract:Background Data: The Dictionary of Occupational Titles (DOT) is a U.S. Government Publication that defines each job in the United States according to 20 job factors. Fishbain et al. (Spine 1994;19:872-80) developed a DOT residual functional capacity (RFC) battery whose predictive validity for employment/unemployment had not been tested previously. Objectives: The purposes of this study were as follows: (a) to determine whether results of a DOT-RFC battery performed at completion of pain facility treatment predicted employment status at 30 months' follow-up and (b) to determine whether the DOT-RFC battery predicted employment capacity as determined by the DOT employment levels of the chronic pain patients' (CPPs) jobs. Study Design: This is a prospective low back pain CPP pain facility treatment study using employment status and the DOT occupational levels as outcome measures. Methods: One hundred eighty-five consecutive CPPs who fitted the selection criteria completed a DOT-RFC battery at the completion of pain facility treatment and were contacted at 1, 3, 6, 12, 18, 24, and 30 months for determination of their employment status and DOT employment level. Eight DOT job factors plus pain and worker compensation status were found to be significantly different between employed and unemployed CPPs and between those employed in different DOT employment levels. For the 10 variables, stepwise discriminant analysis was used to select final predictor variables. Sensitivity and specificity were calculated along with pain level cutpoints that separated the groups. Results: The eight DOT job factors found to be statistically significant between groups were the following: stooping, climbing, balancing, crouching, feeling shapes, handling left and right, lifting, carrying, and pain and worker compensation status. In the discriminant analysis, these variables could discriminate between the employed and unemployed categories, with a sensitivity and specificity of approximately 75%. The pain level cutpoint between employed and unemployed was 5.4 on a 10-point scale. Conclusions: We cannot as yet predict DOT-RFC employment levels. However, if a CPP can pass the above eight DOT job factors and has a pain level less than the 5.4 cutpoint, that CPP will have a 75% chance of being employed at 30 months after treatment at the pain facility. Therefore, some DOT-RFC battery job factors demonstrate a predictive validity in the real work world.
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measuring residual functional capacity in chronic low back pain patients based on the dictionary of occupational titles
Spine, 1994Co-Authors: David A Fishbain, Elsayed Abdelmoty, R B Cutler, Tarek M Khalil, Soha Sadek, Renee Steele Rosomoff, Hubert L RosomoffAbstract:STUDY DESIGN This study designed and tested a functional battery based on the Dictionary of Occupational Titles (DOT). OBJECTIVES Such a battery can be used to measure residual functional capacity (RFC) in chronic pain patients (CPP) and results can be matched against the demand minimum functional capacities (DMFC) of DOT jobs. SUMMARY OF BACKGROUND DATA Physicians have difficulty translating medical impairment into functional limitation and thereby establishing the RFC of CPPs. METHODS The DOT, a USA Government Publication, provides information about physical demands of every USA job according to 36 factors and subfactors. The authors defined and developed a functional battery based on these factors/subfactors. This battery was tested on 67 consecutive CPPs to determine the percentage of CPPs able to pass specific job factors and the full battery and return to some DOT job, and evaluated the effects of pain on battery performance. The data were factor analyzed. RESULTS The battery determined if CPPs could perform DOT job factors and had the necessary RFC to be placed in a DOT job. The vast majority of CPPs could not pass the full battery and the presence of pain and original job classification predicted whether a CPP could perform a job factor. Factor analyses grouped the factors into four independent categories supporting the design of the battery. CONCLUSION The battery can assess whether CPPs are able to return to work.
David A Fishbain - One of the best experts on this subject based on the ideXlab platform.
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validity of the dictionary of occupational titles residual functional capacity battery
The Clinical Journal of Pain, 1999Co-Authors: David A Fishbain, Elsayed Abdelmoty, R B Cutler, Tarek M Khalil, Hubert L Rosomoff, R SteelerosomoffAbstract:Background Data: The Dictionary of Occupational Titles (DOT) is a U.S. Government Publication that defines each job in the United States according to 20 job factors. Fishbain et al. (Spine 1994;19:872-80) developed a DOT residual functional capacity (RFC) battery whose predictive validity for employment/unemployment had not been tested previously. Objectives: The purposes of this study were as follows: (a) to determine whether results of a DOT-RFC battery performed at completion of pain facility treatment predicted employment status at 30 months' follow-up and (b) to determine whether the DOT-RFC battery predicted employment capacity as determined by the DOT employment levels of the chronic pain patients' (CPPs) jobs. Study Design: This is a prospective low back pain CPP pain facility treatment study using employment status and the DOT occupational levels as outcome measures. Methods: One hundred eighty-five consecutive CPPs who fitted the selection criteria completed a DOT-RFC battery at the completion of pain facility treatment and were contacted at 1, 3, 6, 12, 18, 24, and 30 months for determination of their employment status and DOT employment level. Eight DOT job factors plus pain and worker compensation status were found to be significantly different between employed and unemployed CPPs and between those employed in different DOT employment levels. For the 10 variables, stepwise discriminant analysis was used to select final predictor variables. Sensitivity and specificity were calculated along with pain level cutpoints that separated the groups. Results: The eight DOT job factors found to be statistically significant between groups were the following: stooping, climbing, balancing, crouching, feeling shapes, handling left and right, lifting, carrying, and pain and worker compensation status. In the discriminant analysis, these variables could discriminate between the employed and unemployed categories, with a sensitivity and specificity of approximately 75%. The pain level cutpoint between employed and unemployed was 5.4 on a 10-point scale. Conclusions: We cannot as yet predict DOT-RFC employment levels. However, if a CPP can pass the above eight DOT job factors and has a pain level less than the 5.4 cutpoint, that CPP will have a 75% chance of being employed at 30 months after treatment at the pain facility. Therefore, some DOT-RFC battery job factors demonstrate a predictive validity in the real work world.
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measuring residual functional capacity in chronic low back pain patients based on the dictionary of occupational titles
Spine, 1994Co-Authors: David A Fishbain, Elsayed Abdelmoty, R B Cutler, Tarek M Khalil, Soha Sadek, Renee Steele Rosomoff, Hubert L RosomoffAbstract:STUDY DESIGN This study designed and tested a functional battery based on the Dictionary of Occupational Titles (DOT). OBJECTIVES Such a battery can be used to measure residual functional capacity (RFC) in chronic pain patients (CPP) and results can be matched against the demand minimum functional capacities (DMFC) of DOT jobs. SUMMARY OF BACKGROUND DATA Physicians have difficulty translating medical impairment into functional limitation and thereby establishing the RFC of CPPs. METHODS The DOT, a USA Government Publication, provides information about physical demands of every USA job according to 36 factors and subfactors. The authors defined and developed a functional battery based on these factors/subfactors. This battery was tested on 67 consecutive CPPs to determine the percentage of CPPs able to pass specific job factors and the full battery and return to some DOT job, and evaluated the effects of pain on battery performance. The data were factor analyzed. RESULTS The battery determined if CPPs could perform DOT job factors and had the necessary RFC to be placed in a DOT job. The vast majority of CPPs could not pass the full battery and the presence of pain and original job classification predicted whether a CPP could perform a job factor. Factor analyses grouped the factors into four independent categories supporting the design of the battery. CONCLUSION The battery can assess whether CPPs are able to return to work.
Wendy Stubbs - One of the best experts on this subject based on the ideXlab platform.
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corporate carbon strategies and greenhouse gas emission assessments the implications of scope 3 emission factor selection
Business Strategy and The Environment, 2012Co-Authors: John Downie, Wendy StubbsAbstract:Scholars and practitioners acknowledge the benefits of organizations understanding their contribution to global warming and implementing carbon management strategies to address climate change concerns. A key element of a carbon management strategy is to reduce emissions, which requires an assessment of a firm's greenhouse gas emissions. For most organizations the indirect (scope 3) emissions represent the largest portion of their total carbon footprint. When facility-specific data are not available, firms are encouraged to use standard emission factors to calculate scope 3 emissions. This paper investigates how sampled Australian organizations assess their scope 3 emissions with respect to the emission factors they are using to convert activity data into units of carbon dioxide equivalent emission (CO2-e), and the implications for producing an accurate emission assessment. The research study found that, where conversion information was not available in a recognized Government Publication, the use of varying conversion value sources resulted in wide discrepancies in reported emissions for like activities. This undermines the assessment quality, makes comparison of results across organizations difficult and can lead to inappropriate carbon management strategy choices and misallocation of resources. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment
C Jegannathan - One of the best experts on this subject based on the ideXlab platform.
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biome mapping in india using vegetation type map derived using temporal satellite data and environmental parameters
Ecological Modelling, 2006Co-Authors: P S Roy, P K Joshi, Sarnam Singh, Shefali Agarwal, D Yadav, C JegannathanAbstract:Abstract Development of regional biome models represents a new stage of earth systems modeling. By translating simulated climate variables and actual vegetation boundaries into maps of biomes, these models explicitly link the vegetation and climate patterns together, enabling the determination of trajectories of climate change. Through this research, a new one million scale biome map of India is prepared, based on actual vegetation cover type map derived from wide field sensor onboard Indian remote sensing satellite (IRS WiFS—spatial resolution 200 m) and Holdridge life zone (HLZ) system. A biome level characterization (BLC) model has been developed wherein, temporal satellite data helps to define the phenologically discriminant vegetation cover type, climatic parameters viz., biotemperature, mean annual precipitation and potential evapotranspiration ratio have been used to identify potential life zones and finally describe the biome boundaries based on the vegetation cover type and life zones. The study identifies 35 cover classes and describes 17 vegetation cover types. This is close to the type description given by Champion and Seth [Champion, H.G., Seth, S.K., 1968. A Revised Survey of Forest Types of India. New Delhi Government Publication, New Delhi.] in their forest cover type map. The geographical analysis identifies 19 HLZs seven biomes and 19 sub-biomes in the Indian sub-continent. The dataset is now available for diverse application studies in ecosystem modeling, land cover dynamics and global change.
R Steelerosomoff - One of the best experts on this subject based on the ideXlab platform.
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validity of the dictionary of occupational titles residual functional capacity battery
The Clinical Journal of Pain, 1999Co-Authors: David A Fishbain, Elsayed Abdelmoty, R B Cutler, Tarek M Khalil, Hubert L Rosomoff, R SteelerosomoffAbstract:Background Data: The Dictionary of Occupational Titles (DOT) is a U.S. Government Publication that defines each job in the United States according to 20 job factors. Fishbain et al. (Spine 1994;19:872-80) developed a DOT residual functional capacity (RFC) battery whose predictive validity for employment/unemployment had not been tested previously. Objectives: The purposes of this study were as follows: (a) to determine whether results of a DOT-RFC battery performed at completion of pain facility treatment predicted employment status at 30 months' follow-up and (b) to determine whether the DOT-RFC battery predicted employment capacity as determined by the DOT employment levels of the chronic pain patients' (CPPs) jobs. Study Design: This is a prospective low back pain CPP pain facility treatment study using employment status and the DOT occupational levels as outcome measures. Methods: One hundred eighty-five consecutive CPPs who fitted the selection criteria completed a DOT-RFC battery at the completion of pain facility treatment and were contacted at 1, 3, 6, 12, 18, 24, and 30 months for determination of their employment status and DOT employment level. Eight DOT job factors plus pain and worker compensation status were found to be significantly different between employed and unemployed CPPs and between those employed in different DOT employment levels. For the 10 variables, stepwise discriminant analysis was used to select final predictor variables. Sensitivity and specificity were calculated along with pain level cutpoints that separated the groups. Results: The eight DOT job factors found to be statistically significant between groups were the following: stooping, climbing, balancing, crouching, feeling shapes, handling left and right, lifting, carrying, and pain and worker compensation status. In the discriminant analysis, these variables could discriminate between the employed and unemployed categories, with a sensitivity and specificity of approximately 75%. The pain level cutpoint between employed and unemployed was 5.4 on a 10-point scale. Conclusions: We cannot as yet predict DOT-RFC employment levels. However, if a CPP can pass the above eight DOT job factors and has a pain level less than the 5.4 cutpoint, that CPP will have a 75% chance of being employed at 30 months after treatment at the pain facility. Therefore, some DOT-RFC battery job factors demonstrate a predictive validity in the real work world.
