Measuring Health Related Quality of Life in Veterans With Stroke

NCT ID: NCT00123357

Last Updated: 2015-04-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Completion Date

2003-03-31

Brief Summary

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Approximately 11,000 veterans annually are hospitalized with a newly acquired incident stroke. Based on American Heart Association ratios of stroke incidence and prevalence, up to 80,000 veterans may be stroke survivors. The assessment of outcomes in stroke survivors is important for clinical practice and research, yet there is no consensus on the best measures of stroke outcome in either clinical practice or research. We have developed a new stroke-specific outcome measure, the Stroke Impact Scale (SIS), to capture physical function and other dimensions of health-related quality of life.

Detailed Description

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Background:

Approximately 11,000 veterans annually are hospitalized with a newly acquired incident stroke. Based on American Heart Association ratios of stroke incidence and prevalence, up to 80,000 veterans may be stroke survivors. The assessment of outcomes in stroke survivors is important for clinical practice and research, yet there is no consensus on the best measures of stroke outcome in either clinical practice or research. We have developed a new stroke-specific outcome measure, the Stroke Impact Scale (SIS), to capture physical function and other dimensions of health-related quality of life.

Objectives:

The major research questions in this investigation are: 1) Does the SIS have concurrent and discriminate validity in a veteran stroke population when compared to the FIM, Rankin, and the SF-36V? 2) What effect does mode of administration have on response rates, bias, data quality, reliability and validity, SIS domain scores, and cost of data collection? 3) What factors differentiate responders and non-responders? 4) Will the SIS scores predict health care costs and utilization?

Methods:

Using ICD-9 discharge codes and electronic medical records, patients were screened for a valid diagnosis of stroke. At three months post-stroke, patients were randomly assigned to receive a mailed SIS instrument or SIS via telephone interview. At four months post-stroke, all respondents were evaluated using the Functional Independence Measure and SF-36V by telephone.

Status:

Completed.

Conditions

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Stroke Quality of Life Rehabilitation

Study Design

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Study Time Perspective

PROSPECTIVE

Study Groups

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Group 1

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

Inclusion Criteria:

No exclusion criteria.

Exclusion Criteria:

No exclusion criteria.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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US Department of Veterans Affairs

FED

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Dean M. Reker, PhD RN BS

Role: PRINCIPAL_INVESTIGATOR

Kansas City VA Medical Center, Kansas City, MO

Pamela W. Duncan, PhD MA BS

Role: PRINCIPAL_INVESTIGATOR

North Florida/South Georgia Veterans Health System, Gainesville, FL

Locations

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Kansas City VA Medical Center, Kansas City, MO

Kansas, Illinois, United States

Site Status

Countries

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United States

References

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Hayes J, Vogel B, Reker DM. Factors associated with VHA costs of care for first 12 months after first stroke. J Rehabil Res Dev. 2008;45(9):1375-84.

Reference Type RESULT
PMID: 19319761 (View on PubMed)

Kwon S, Hartzema AG, Duncan PW, Min-Lai S. Disability measures in stroke: relationship among the Barthel Index, the Functional Independence Measure, and the Modified Rankin Scale. Stroke. 2004 Apr;35(4):918-23. doi: 10.1161/01.STR.0000119385.56094.32. Epub 2004 Feb 19.

Reference Type RESULT
PMID: 14976324 (View on PubMed)

Jia H, Uphold CR, Wu S, Reid K, Findley K, Duncan PW. Health-related quality of life among men with HIV infection: effects of social support, coping, and depression. AIDS Patient Care STDS. 2004 Oct;18(10):594-603. doi: 10.1089/apc.2004.18.594.

Reference Type RESULT
PMID: 15630787 (View on PubMed)

Duncan P, Reker D, Kwon S, Lai SM, Studenski S, Perera S, Alfrey C, Marquez J. Measuring stroke impact with the stroke impact scale: telephone versus mail administration in veterans with stroke. Med Care. 2005 May;43(5):507-15. doi: 10.1097/01.mlr.0000160421.42858.de.

Reference Type RESULT
PMID: 15838417 (View on PubMed)

Duncan PW, Reker DM, Horner RD, Samsa GP, Hoenig H, LaClair BJ, Dudley TK. Performance of a mail-administered version of a stroke-specific outcome measure, the Stroke Impact Scale. Clin Rehabil. 2002 Aug;16(5):493-505. doi: 10.1191/0269215502cr510oa.

Reference Type RESULT
PMID: 12194620 (View on PubMed)

Kwon S, Duncan P, Studenski S, Perera S, Lai SM, Reker D. Measuring stroke impact with SIS: construct validity of SIS telephone administration. Qual Life Res. 2006 Apr;15(3):367-76. doi: 10.1007/s11136-005-2292-2.

Reference Type RESULT
PMID: 16547774 (View on PubMed)

Other Identifiers

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STI 20-029

Identifier Type: -

Identifier Source: org_study_id

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