The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Georgia L. Narsavage - One of the best experts on this subject based on the ideXlab platform.
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The development and psychometric evaluation of the Pulmonary Functional Status Scale: an instrument to assess Functional Status in pulmonary disease.
Journal of Cardiopulmonary Rehabilitation, 1998Co-Authors: Terri E. Weaver, Georgia L. Narsavage, Michael J. GuilfoyleAbstract:Background.This article describes the development and psychometric evaluation of the Pulmonary Functional Status Scale (PFSS). The PFSS was developed to address the need for a self-administered, disease-specific, Functional Status outcome measure that was conceptually based, relatively short, and co
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An explanatory model of Functional Status in chronic obstructive pulmonary disease.
Nursing Research, 1997Co-Authors: Terri E. Weaver, Therese S. Richmond, Georgia L. NarsavageAbstract:The purpose of this study was to test an explanatory model of variables influencing Functional Status in chronic obstructive pulmonary disease (COPD). The sample consisted of 104 patients with COPD (85 males, 19 females, mean age = 65.5, SD = 7.7). The variables in the initial model were age, length of illness, pulmonary function, oxygen desaturation during exercise, dyspnea, depressed mood, anxiety, self-esteem, exercise capacity, and Functional Status. Path analysis revealed that exercise capacity (beta = .337, p = .0007), dyspnea (beta = .324, p = .0009), and depressed mood (beta = -.204, p = .011) directly influenced Functional Status Dyspnea (beta = .488, p < .0001), depression (beta = -.217, p = .003), and pulmonary function (beta = .421, p < .0001) indirectly influenced Functional Status through exercise capacity. Self-esteem (beta = -.492, p = .004) and anxiety (beta = .696, p < .0001) indirectly influenced Functional Status through depressed mood. The findings of this study suggest that efforts to improve Functional Status of individuals with COPD should focus on interventions that influence exercise capacity, dyspnea, anxiety, and depressed mood.
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Physiological and psychological variables related to Functional Status in chronic obstructive pulmonary disease.
Nursing Research, 1992Co-Authors: Terri E. Weaver, Georgia L. NarsavageAbstract:The relationship of selected physiological and psychological variables to Functional Status in patients with chronic obstructive pulmonary disease (COPD) was investigated in this study. There has been limited exploration of the relative contribution of these variables to the performance of activities of daily living in this population. A convenience sample of 104 outpatients with COPD participated in the study. The independent variables were causal attributions, depressed mood, self-esteem, pulmonary function, and exercise capacity, and the dependent variable was Functional Status. There was a significant difference in Functional Status between those who did and those who did not ask the question, "Why me?" (p = .03). In addition, the remaining psychological variables and both physiological variables were significantly correlated with Functional Status (p less than or equal to .01). To identify the combination of study variables most predictive of Functional Status a multiple regression analysis was performed. The combined variables of exercise capacity and depression best predicted Functional Status (p less than .0001). It is concluded that both physiological and psychological factors are important in understanding Functional Status in this population.
Terri E. Weaver - One of the best experts on this subject based on the ideXlab platform.
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The development and psychometric evaluation of the Pulmonary Functional Status Scale: an instrument to assess Functional Status in pulmonary disease.
Journal of Cardiopulmonary Rehabilitation, 1998Co-Authors: Terri E. Weaver, Georgia L. Narsavage, Michael J. GuilfoyleAbstract:Background.This article describes the development and psychometric evaluation of the Pulmonary Functional Status Scale (PFSS). The PFSS was developed to address the need for a self-administered, disease-specific, Functional Status outcome measure that was conceptually based, relatively short, and co
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An explanatory model of Functional Status in chronic obstructive pulmonary disease.
Nursing Research, 1997Co-Authors: Terri E. Weaver, Therese S. Richmond, Georgia L. NarsavageAbstract:The purpose of this study was to test an explanatory model of variables influencing Functional Status in chronic obstructive pulmonary disease (COPD). The sample consisted of 104 patients with COPD (85 males, 19 females, mean age = 65.5, SD = 7.7). The variables in the initial model were age, length of illness, pulmonary function, oxygen desaturation during exercise, dyspnea, depressed mood, anxiety, self-esteem, exercise capacity, and Functional Status. Path analysis revealed that exercise capacity (beta = .337, p = .0007), dyspnea (beta = .324, p = .0009), and depressed mood (beta = -.204, p = .011) directly influenced Functional Status Dyspnea (beta = .488, p < .0001), depression (beta = -.217, p = .003), and pulmonary function (beta = .421, p < .0001) indirectly influenced Functional Status through exercise capacity. Self-esteem (beta = -.492, p = .004) and anxiety (beta = .696, p < .0001) indirectly influenced Functional Status through depressed mood. The findings of this study suggest that efforts to improve Functional Status of individuals with COPD should focus on interventions that influence exercise capacity, dyspnea, anxiety, and depressed mood.
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Physiological and psychological variables related to Functional Status in chronic obstructive pulmonary disease.
Nursing Research, 1992Co-Authors: Terri E. Weaver, Georgia L. NarsavageAbstract:The relationship of selected physiological and psychological variables to Functional Status in patients with chronic obstructive pulmonary disease (COPD) was investigated in this study. There has been limited exploration of the relative contribution of these variables to the performance of activities of daily living in this population. A convenience sample of 104 outpatients with COPD participated in the study. The independent variables were causal attributions, depressed mood, self-esteem, pulmonary function, and exercise capacity, and the dependent variable was Functional Status. There was a significant difference in Functional Status between those who did and those who did not ask the question, "Why me?" (p = .03). In addition, the remaining psychological variables and both physiological variables were significantly correlated with Functional Status (p less than or equal to .01). To identify the combination of study variables most predictive of Functional Status a multiple regression analysis was performed. The combined variables of exercise capacity and depression best predicted Functional Status (p less than .0001). It is concluded that both physiological and psychological factors are important in understanding Functional Status in this population.
Richard Grol - One of the best experts on this subject based on the ideXlab platform.
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Functional Status, health problems, age and comorbidity in primary care
2001Co-Authors: Michel Wensing, Eric Vingerhoets, Richard GrolAbstract:Objectives: To determine the relationship between Functional Status and health problems, age and comorbidity in primary care patients. Methods: Patients from 60 general practitioners who visited their general practitioner were recruited and asked to complete a written questionnaire, including a list of 25 health problems and the SF-36 to measure Functional Status. The response rate was 67% (n = 4112). Differences between subgroups were tested with p < 0.01. Results: Poorer Functional Status which was associated with increased age (except for vitality) and increased co-morbidity. Patients with asthma/ bronchitis/COPD, severe heart disease/infarction, chronic backpain, arthrosis of knees, hips or hands, or an 'other disease' had poorer scores on at least five dimensions of Functional Status. Patients with hypertension, diabetes mellitus or cancer did not differ from patients without these conditions on more than one dimension of Functional Status. In the multiple regression analysis age, had a negative effect on Functional Status (standardised 1-coefficients between -0.03 and -0.34) except for vitality. Co-morbidity had a negative effect on physical role constraints (-0.15) and bodily pain (-0.09). All health problems had effects on dimensions of Functional Status (coefficients between -0.04 and -0.13). General health and physical dimensions of Functional Status were better predicted by health problems, age and co-morbidity (between 6.4 and 16.5% of variation explained) than mental dimensions of Functional Status (between 1.1 and 3.2%). Conclusion: Higher age was a predictor of poorer Functional Status, but there was little evidence for an independent effect of co-morbidity on Functional Status. Health problems had differential impact on Functional Status among primary care patients.
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Functional Status, health problems, age and comorbidity in primary care patients
Quality of Life Research, 2001Co-Authors: Michel Wensing, Eric Vingerhoets, Richard GrolAbstract:Objectives: To determine the relationship between Functional Status and health problems, age and co-morbidity in primary care patients. Methods: Patients from 60 general practitioners who visited their general practitioner were recruited and asked to complete a written questionnaire, including a list of 25 health problems and the SF-36 to measure Functional Status. The response rate was 67% (n = 4112). Differences between subgroups were tested with p < 0.01. Results: Poorer Functional Status which was associated with increased age (except for vitality) and increased co-morbidity. Patients with asthma/bronchitis/COPD, severe heart disease/infarction, chronic backpain, arthrosis of knees, hips or hands, or an ‘other disease’ had poorer scores on at least five dimensions of Functional Status. Patients with hypertension, diabetes mellitus or cancer did not differ from patients without these conditions on more than one dimension of Functional Status. In the multiple regression analysis age, had a negative effect on Functional Status (standardised β-coefficients between −0.03 and −0.34) except for vitality. Co-morbidity had a negative effect on physical role constraints (−0.15) and bodily pain (−0.09). All health problems had effects on dimensions of Functional Status (coefficients between −0.04 and −0.13). General health and physical dimensions of Functional Status were better predicted by health problems, age and co-morbidity (between 6.4 and 16.5% of variation explained) than mental dimensions of Functional Status (between 1.1 and 3.2%). Conclusion: Higher age was a predictor of poorer Functional Status, but there was little evidence for an independent effect of co-morbidity on Functional Status. Health problems had differential impact on Functional Status among primary care patients.
Philip D Harvey - One of the best experts on this subject based on the ideXlab platform.
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self assessment of Functional Status in schizophrenia
Journal of Psychiatric Research, 2007Co-Authors: Christopher R Bowie, Elizabeth W Twamley, Hannah Anderson, Brooke Halpern, Thomas L Patterson, Philip D HarveyAbstract:Abstract With new treatments targeting features of schizophrenia associated with Functional disability, there is a need to evaluate the validity of ratings of everyday outcomes. It is unknown whether patients can validly self-report on aspects of their Functional Status, which would be a potentially economical method for obtaining outcome data. In this study, 67 older schizophrenia outpatients provided self-ratings of everyday real-world functioning using the specific levels of functioning scale (SLOF). They were also administered assessments of neuropsychological performance, performance-based measures of Functional capacity and social skills, clinical symptoms, and quality of life. Case managers, unaware of other ratings, also generated SLOF ratings. Based on discrepancy scores, participants were categorized as accurate raters (n = 24), underestimators (n = 16), or overestimators (n = 27) of their Functional Status as compared to case managers’ ratings. Patients’ self-rated Functional Status was correlated with their subjective quality of life, but remarkably unassociated with case manager ratings of Functional Status or their own performance on Functional capacity or social skills measures. Case manager ratings, however, were highly correlated with performance on Functional capacity and social skills measures. Patients who underestimated their real world performance had better cognitive skills and greater self-rated depression than those who overestimated. Accurate raters demonstrated greater social skills than both overestimators and underestimators, while overestimators were most cognitively and Functionally impaired. Accurate ratings of everyday outcomes in schizophrenia may require systematic observation of real world outcomes or performance-based measures, as self-reports were inconsistent with objective information.
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Self-assessment of Functional Status in schizophrenia ☆
Journal of Psychiatric Research, 2007Co-Authors: Christopher R Bowie, Elizabeth W Twamley, Hannah Anderson, Brooke Halpern, Thomas L Patterson, Philip D HarveyAbstract:Abstract With new treatments targeting features of schizophrenia associated with Functional disability, there is a need to evaluate the validity of ratings of everyday outcomes. It is unknown whether patients can validly self-report on aspects of their Functional Status, which would be a potentially economical method for obtaining outcome data. In this study, 67 older schizophrenia outpatients provided self-ratings of everyday real-world functioning using the specific levels of functioning scale (SLOF). They were also administered assessments of neuropsychological performance, performance-based measures of Functional capacity and social skills, clinical symptoms, and quality of life. Case managers, unaware of other ratings, also generated SLOF ratings. Based on discrepancy scores, participants were categorized as accurate raters (n = 24), underestimators (n = 16), or overestimators (n = 27) of their Functional Status as compared to case managers’ ratings. Patients’ self-rated Functional Status was correlated with their subjective quality of life, but remarkably unassociated with case manager ratings of Functional Status or their own performance on Functional capacity or social skills measures. Case manager ratings, however, were highly correlated with performance on Functional capacity and social skills measures. Patients who underestimated their real world performance had better cognitive skills and greater self-rated depression than those who overestimated. Accurate raters demonstrated greater social skills than both overestimators and underestimators, while overestimators were most cognitively and Functionally impaired. Accurate ratings of everyday outcomes in schizophrenia may require systematic observation of real world outcomes or performance-based measures, as self-reports were inconsistent with objective information.
Michel Wensing - One of the best experts on this subject based on the ideXlab platform.
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Functional Status, health problems, age and comorbidity in primary care
2001Co-Authors: Michel Wensing, Eric Vingerhoets, Richard GrolAbstract:Objectives: To determine the relationship between Functional Status and health problems, age and comorbidity in primary care patients. Methods: Patients from 60 general practitioners who visited their general practitioner were recruited and asked to complete a written questionnaire, including a list of 25 health problems and the SF-36 to measure Functional Status. The response rate was 67% (n = 4112). Differences between subgroups were tested with p < 0.01. Results: Poorer Functional Status which was associated with increased age (except for vitality) and increased co-morbidity. Patients with asthma/ bronchitis/COPD, severe heart disease/infarction, chronic backpain, arthrosis of knees, hips or hands, or an 'other disease' had poorer scores on at least five dimensions of Functional Status. Patients with hypertension, diabetes mellitus or cancer did not differ from patients without these conditions on more than one dimension of Functional Status. In the multiple regression analysis age, had a negative effect on Functional Status (standardised 1-coefficients between -0.03 and -0.34) except for vitality. Co-morbidity had a negative effect on physical role constraints (-0.15) and bodily pain (-0.09). All health problems had effects on dimensions of Functional Status (coefficients between -0.04 and -0.13). General health and physical dimensions of Functional Status were better predicted by health problems, age and co-morbidity (between 6.4 and 16.5% of variation explained) than mental dimensions of Functional Status (between 1.1 and 3.2%). Conclusion: Higher age was a predictor of poorer Functional Status, but there was little evidence for an independent effect of co-morbidity on Functional Status. Health problems had differential impact on Functional Status among primary care patients.
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Functional Status, health problems, age and comorbidity in primary care patients
Quality of Life Research, 2001Co-Authors: Michel Wensing, Eric Vingerhoets, Richard GrolAbstract:Objectives: To determine the relationship between Functional Status and health problems, age and co-morbidity in primary care patients. Methods: Patients from 60 general practitioners who visited their general practitioner were recruited and asked to complete a written questionnaire, including a list of 25 health problems and the SF-36 to measure Functional Status. The response rate was 67% (n = 4112). Differences between subgroups were tested with p < 0.01. Results: Poorer Functional Status which was associated with increased age (except for vitality) and increased co-morbidity. Patients with asthma/bronchitis/COPD, severe heart disease/infarction, chronic backpain, arthrosis of knees, hips or hands, or an ‘other disease’ had poorer scores on at least five dimensions of Functional Status. Patients with hypertension, diabetes mellitus or cancer did not differ from patients without these conditions on more than one dimension of Functional Status. In the multiple regression analysis age, had a negative effect on Functional Status (standardised β-coefficients between −0.03 and −0.34) except for vitality. Co-morbidity had a negative effect on physical role constraints (−0.15) and bodily pain (−0.09). All health problems had effects on dimensions of Functional Status (coefficients between −0.04 and −0.13). General health and physical dimensions of Functional Status were better predicted by health problems, age and co-morbidity (between 6.4 and 16.5% of variation explained) than mental dimensions of Functional Status (between 1.1 and 3.2%). Conclusion: Higher age was a predictor of poorer Functional Status, but there was little evidence for an independent effect of co-morbidity on Functional Status. Health problems had differential impact on Functional Status among primary care patients.
