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ECRI Health Technology Assessment Group. Determinants of Disability in Patients With Chronic Renal Failure. Rockville (MD) : Agency for Healthcare Research and Quality (US); 2000 May. (Evidence Reports/Technology Assessments, No. 13.)

  • This publication is provided for historical reference only and the information may be out of date.

This publication is provided for historical reference only and the information may be out of date.

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Determinants of Disability in Patients With Chronic Renal Failure.

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Appendix D: Descriptive Statistics

Tables D-1 through D-6 show data pertaining just to those patients who were eligible for inclusion in our final data set, as described in Table 3, a subset of 546 patients who were working at some point in the past and for whom followup data were available. Table D-1, below, suggests that patients with inherent kidney disease are more likely to continue working than those with diabetes. Patients with any of several different forms of cardiac or vascular disease are less likely to be working than those not impaired with these diseases. It must be noted that these are univariate statistics that do not account for collinearity of other variables. A more specific breakdown of employment status for patients with these conditions is shown in Table D-2.

Table D-1. Categorical disease states by work statusAppendix D: Descriptive Statistics.

Table

Table D-1. Categorical disease states by work statusAppendix D: Descriptive Statistics.

Table D-2. Categorical disease states by employment statusAppendix D: Descriptive Statistics.

Table

Table D-2. Categorical disease states by employment statusAppendix D: Descriptive Statistics.

Table D-3 shows the laboratory test results for patients who continued to work full time versus those who did not, while Table D-4 shows aspects of quality of life as measured by the Kidney Disease Quality-of-Life (KDQOLTM) questionnaire. Table D-5 shows the laboratory results broken out by employment status at the beginning of the study. Because of the univariate nature of these statistics, we have not analyzed them and simply present them for perusal.

Table D-3. Work status: descriptive statistics of symptoms and laboratory valuesAppendix D: Descriptive Statistics.

Table

Table D-3. Work status: descriptive statistics of symptoms and laboratory valuesAppendix D: Descriptive Statistics.

Table D-4. Comparison of KDQOLTM subscales based on employment statusAppendix D: Descriptive Statistics.

Table

Table D-4. Comparison of KDQOLTM subscales based on employment statusAppendix D: Descriptive Statistics.

Table D-5. Employment status at study start date by laboratory variablesAppendix D: Descriptive Statistics.

Table

Table D-5. Employment status at study start date by laboratory variablesAppendix D: Descriptive Statistics.

Table D-6 shows the breakdown of employment status for several different demographic, lifestyle, socioeconomic status, and employment-related measures. Again, because these are univariate summary statistics, we will not try to analyze their import here.

Table D-6. Demographic and employment categorical variablesAppendix D: Descriptive Statistics.

Table

Table D-6. Demographic and employment categorical variablesAppendix D: Descriptive Statistics.

Table D-1. Categorical disease states by work statusAppendix D: Descriptive Statistics

Table D-2. Categorical disease states by employment statusAppendix D: Descriptive Statistics

Table D-3. Work status: descriptive statistics of symptoms and laboratory valuesAppendix D: Descriptive Statistics

Table D-4. Comparison of KDQOLTM subscales based on employment statusAppendix D: Descriptive Statistics

Table D-5. Employment status at study start date by laboratory variablesAppendix D: Descriptive Statistics

Table D-6. Demographic and employment categorical variablesAppendix D: Descriptive Statistics

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