Original researchDeveloping an Item Bank to Measure Economic Quality of Life for Individuals With Disabilities
Section snippets
Literature review
We completed a review of environmental factor instruments and identified 40 potential items related to economic QOL. However, none of these items were included in the item pool due to the weaknesses listed in Table 1. Then, we conducted a comprehensive literature review of patient-reported outcome measures using the following search terms: economic satisfaction, financial satisfaction, economic well-being, and financial well-being. We identified 21 items for inclusion in the economic QOL item
Participant demographic characteristics
Hammel et al39 reported the demographic characteristics of the focus group sample. Demographic characteristics of the cognitive interview sample are shown in table 2. Of the 15 participants, 6 were diagnosed with SCI, 5 with TBI, and 4 with stroke. Mean age was 45.5±11.8 years; 67% were men. Of the participants, 33% were white, 57% were black, and 13% were another race. Hispanic or Latino ethnicity was selected by 13%. Of the participants, 53% reported the ability to walk, 47% reported using a
Discussion
Costs of health care, accessible housing, reduced employment opportunities, and other economic factors are cited consistently as important issues related to QOL by people with disabilities. Despite this need, economic factors that affect QOL after traumatic injury or stroke are an understudied area. This study used a comprehensive approach to develop a measurement tool to assess economic QOL in individuals with disabilities.
We developed item pools using a participatory action research,59
Conclusions
Using participatory action research–based qualitative methods in conjunction with a contemporary psychometric approach, we developed a 28-item bank that measures economic aspects of QOL. Preliminary CFA and Rasch analysis results support the psychometric properties of this measure. It fills a gap in HRQOL measurement by describing the economic barriers and facilitators that affect community participation. This preliminary test of the item bank requires confirmation with a larger, more
Suppliers
- a.
ATLAS.ti software, ATLAS.ti Scientific Software Development GmbH.
- b.
Lexile Framework, MetaMetrics.
- c.
MPlus 6.1 software, MPlus (StatModel).
- d.
Winsteps 2014, JM Linacre. Available at: Winsteps.com.
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Cited by (0)
Supported by the National Institute on Disability and Rehabilitation Research (grant nos. H133B090024, H133A030807, and H133G070138) and the National Institutes of Health (grant no. 5R01HD054659).
Disclosures: none.