Perceived Quality of Life Scale (PQoL)

Overview

Purpose
Evaluate quality of life and functional status for people with a wide range of wellness or disability levels
Respondent
Person with a Disability
Administration Method
Interview
Administration Mode
In-person
0
Population
General Population

Instrument Citation(s)

Survey available at: http://depts.washington.edu/seaqol/PQOL

Patrick DL, Kinne S, Engelberg RA, Pearlman RA. (2000). Functional status and perceived quality of life in adults with and without chronic conditions. Journal of Clinical Epidemiology, 53(8), 779-785.

Psychometric Citations

  • Patrick DL, Danis M, Southerland LI, Hong G. (1988). Quality of life following intensive care. Journal of General Internal Medicine, 3(3), 218-223.

    Type of Publication
    Peer review
    Instrument Language
    English
    Sample: Age (Mean and Range)

    Mean=69 years; Range=61 to 77 years

    Sample: Age Group

    18-64 Years, 65+ Years

    Sample: Countries/State

    North Carolina

    Sample: Disability Type

    Not Reported

    Sample: Gender (%male)

    52%

    Sample: Race/Ethnicity (%)

    64% White

    Sample: Sampling Strategy

    Convenience Sample

    Sample: Size

    69

    Reliability: Internal Consistency

    Cronbach's Alpha for the overall survey (α=0.88)

    Validity: Criterion Validity (Concurrent and Predictive)

    correlation with Sickness Impact Profile (r=-.49); correlation with Sickness Impact Profile subscales (r= -.33 to -.48); correlation with social contact (r=.36); correlation with affective status (r=.54)

    Study design
    Cross-Sectional
  • Patrick DL, Kinne S, Engelberg RA, Pearlman RA. (2000). Functional status and perceived quality of life in adults with and without chronic conditions. Journal of Clinical Epidemiology, 53(8), 779-785.

    Type of Publication
    Peer review
    Instrument Language
    English
    Sample: Age (Mean and Range)

    Mean=58 years

    Sample: Age Group

    Under 18 Years, 18-64 Years, 65+ Years

    Sample: Countries/State

    Washington

    Sample: Disability Type

    Physical Disability, Mental Health Challenges, Age Related Disability

    Sample: Gender (%male)

    47%

    Sample: Race/Ethnicity (%)

    Not reported

    Sample: Sampling Strategy

    Convenience Sample, Not Reported

    Sample: Size

    454

    Validity: Criterion Validity (Concurrent and Predictive)

    correlation with Sickness Impact Profile overall (r=.69); correlation with Sickness Impact Profile by sample groups (r=.09 to -.73)

    Study design
    Cross-Sectional