Symptoms of Lower Urinary Tract Dysfunction Protocol 2/Recall Study
NCT ID: NCT03808038
Last Updated: 2019-01-17
Study Results
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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COMPLETED
515 participants
OBSERVATIONAL
2017-05-26
2018-05-31
Brief Summary
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Detailed Description
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Incorporating methods the investigators have used successfully in prior measure validation work, the investigators propose to conduct a diary study in which patients record their symptoms at various time points - at the end of each day, or across multiple days. The investigators also ask them to complete self-report measures with different recall periods (i.e., 3-day, 7-day, and 30-day recall), and will determine how well each of these correspond to daily experiences recorded in more frequent assessments (i.e., end-of-day and 3-day patient bladder diaries). These data will help LURN investigators to determine the most appropriate reporting period for specific symptoms. This study can also help to identify causes of differences that exist between shorter and longer recall periods.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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No Diary Group
Group completed daily questionnaires for four weeks, a weekly questionnaire at the end of each week, and a monthly questionnaire at the end of the study
None- Observational Study
None- Observational Study
Diary Start Group
Group completed bladder diaries in week 1, daily questionnaires in week 1, a weekly questionnaire at the end of each week, and a monthly questionnaire at the end of the study
None- Observational Study
None- Observational Study
Daily Start Group
Group completed daily questionnaires in week 1, bladder diaries in week 2, a weekly questionnaire at the end of each week, and a monthly questionnaire at the end of the study
None- Observational Study
None- Observational Study
Interventions
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None- Observational Study
None- Observational Study
Eligibility Criteria
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Inclusion Criteria
2. willing and able to give informed consent,
3. able to speak, read, and understand English,
4. able to reliably complete self-reported questionnaires online at specified times (i.e., may exclude those who do not keep a regular schedule of sleeping during night hours), and
5. experienced at least moderate severity and bother from at least 1 of the 7 targeted symptoms in the past 2 weeks and in the past 3 months
Exclusion Criteria
2. known pregnancy or delivery within past 6 months (women only)
3. planned change in medications to treat LUTS in the middle of the study time frame,
4. receiving active treatment for any malignancy (including maintenance medications),
5. received surgery with general or spinal/epidural anesthesia in the past 3 months or planned surgery during the study time frame
6. lower urinary tract instrumentation (e.g. self-catheterization or cystoscopy) in past 3 months or planned during the study time frame and
7. prostate biopsy in the past 3 months or planned during the study time frame
18 Years
ALL
No
Sponsors
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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
NIH
University of Michigan
OTHER
Northwestern University
OTHER
Duke University
OTHER
University of Iowa
OTHER
University of Washington
OTHER
Washington University School of Medicine
OTHER
Arbor Research Collaborative for Health
OTHER
Responsible Party
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Principal Investigators
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Kevin P. Weinfurt, PhD
Role: STUDY_CHAIR
Duke University
Claire C. Yang, MD
Role: STUDY_CHAIR
University of Washington
Robert M. Merion, MD, FACS
Role: PRINCIPAL_INVESTIGATOR
Arbor Research Collaborative for Health - DCC
Locations
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Northwestern University
Chicago, Illinois, United States
University of Iowa
Iowa City, Iowa, United States
University of Michigan
Ann Arbor, Michigan, United States
Washington University
St Louis, Missouri, United States
Duke University
Durham, North Carolina, United States
University of Washington
Seattle, Washington, United States
Countries
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Other Identifiers
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LURN Recall Study
Identifier Type: -
Identifier Source: org_study_id
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