- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05753358
Total Worker Health for Wildland Firefighters
The overarching goal is to develop, refine and disseminate a comprehensive, easily accessible and effective Total Worker Health (TWH) program for wildland firefighters (WFF).
The term Total Worker Health® (TWH) (NIOSH) refers to the synergistic combination of 1) health promotion (e.g., healthy nutrition, exercise, restorative sleep), 2) worker safety issues, such as protective equipment and hazard control, merged with 3) work organization change to support and promote TWH.
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Oregon
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Portland, Oregon, United States, 97239
- Oregon Health & Science University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- any firefighter attending an OHSU-led informational meeting
Exclusion Criteria:
- Firefighters planning to retire from fire fighting work within 12 months will be excluded.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Needs Assessment and Total Worker Health Program
The initial phase was a needs assessment for wildland firefighters across segments and geographic locations to identify and prioritize program components.
During the first phase, we recruited firefighters and collected baseline data in order to assess their needs using surveys for quantitative data and interviews and focus groups for qualitative data.
The total worker health program includes 14, 30-minute modules on health topics highlighted during the needs assessment phase.
Participants completed the program either individually or as part of a group.
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The program is structured as 30-minute modules that can be done individually, with a partner, as a group or in a classroom setting.
The six core modules are supplemented with eight elective modules.
The program can be accessed on a smartphone, tablet or computer, and if needed can be downloaded as a pdf.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in Cardiovascular Risk Knowledge
Time Frame: 0 weeks to 14 weeks
|
Change in cardiovascular risk knowledge was assessed using this survey question: "I know my risk factors for cardiovascular disease.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Physical Activity
Time Frame: 0 weeks to 14 weeks
|
Change in physical activity was assessed using this survey question: "On average, I get 150 minutes of moderate physical activity per week (including your work).".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Supplement Knowledge
Time Frame: 0 weeks to 14 weeks
|
Change in supplement knowledge was assessed using this survey question: "I need supplements to balance the additional nutritional needs of being a wildland firefighter.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Hydration Knowledge
Time Frame: 0 weeks to 14 weeks
|
Change in hydration knowledge was assessed using the survey questions: "Camelback systems are more effective for maintaining hydration than canteens."
and "Dehydration begins to affect performance when fluid loss equals 2% of body weight.".
Both were measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Nutrition Knowledge
Time Frame: 0 weeks to 14 weeks
|
Change in nutrition knowledge was assessed using the survey questions: "Carbohydrates are the primary fuel for moderate to intense physical activity."
and "Protein is contained in many foods, including bread and rice.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Alcohol Knowledge
Time Frame: 0 weeks to 14 weeks
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Change in alcohol knowledge was assessed using the survey questions: "I know the definition of binge drinking."
and " Drinking alcohol increases my cancer risk.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Sleep Knowledge
Time Frame: 0 weeks to 14 weeks
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Change in sleep knowledge was assessed using the survey questions: "Power naps (15 to 30 minutes) will restore alertness and reduce accidents."
and "Staying awake for 24 hours is equivalent to having a blood alcohol level greater than 0.08, the legal limit."
and "Getting less than 5 hours of sleep lowers testosterone levels equal to someone 10 years older.".
Both were measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Mental Health Behavior
Time Frame: 0 weeks to 14 weeks
|
Change in mental health behavior was assessed using the survey questions: "I am able to bounce back from stressful events."
and "In general, I manage stress in a healthy way.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Blood Pressure Knowledge
Time Frame: 0 weeks to 14 weeks
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Change in blood pressure knowledge was assessed using this survey question: "I know my blood pressure.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change In Nutrition Behavior
Time Frame: 0 weeks to 14 weeks
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Change in nutrition behavior was assessed using this survey question: "I intend to eat every 2 hours while doing arduous wildland firefighting.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Cancer Risk Knowledge
Time Frame: 0 weeks to 14 weeks
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Change in cancer risk knowledge was assessed using this survey question: "I know my risk factors for cancer.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Alcohol Behavior with Sleep
Time Frame: 0 weeks to 14 weeks
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Change in alcohol behavior was assessed using this survey question: "I use alcohol to get to sleep.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Primary Care Behavior
Time Frame: 0 weeks to 14 weeks
|
Change in primary care behavior was assessed using this survey question: "It is important for me to have a primary care physician.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Physical Activity Perception
Time Frame: 0 weeks to 14 weeks
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Change in physical activity perception was assessed using this survey question: "I can get in shape two weeks before a wildland fire season.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Mental Health Self Perception
Time Frame: 0 weeks to 14 weeks
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Change in mental health self perception was assessed using the survey questions: "I feel overwhelmed with my work."
and "During the last month, I felt significantly depressed.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Alcohol Cancer Risk Knowledge
Time Frame: 0 weeks to 14 weeks
|
Change in alcohol cancer risk knowledge was assessed using this survey question: "Drinking alcohol increases my cancer risk.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Alcohol Behavior
Time Frame: 0 weeks to 14 weeks
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Change in alcohol behavior was assessed using this survey question: "I am currently trying to moderate my drinking.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Support Perception
Time Frame: 0 weeks to 14 weeks
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Change in support perception was assessed using this survey question: "I can rely on people at work to support me.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Sleep Hygiene Behavior
Time Frame: 0 weeks to 14 weeks
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Change in sleep hygiene behavior was assessed using this survey question: "Before going to sleep, I wipe soot and ash from my skin.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Cardiovascular Risk Behavior
Time Frame: 0 weeks to 14 weeks
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Change in cardiovascular risk behavior was assessed using this survey question: "I intend to keep track of my risks for cardiovascular disease.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Physical Exam Behavior
Time Frame: 0 weeks to 14 weeks
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Change in physical exam behavior was assessed using this survey question: "I intend to get a physical exam once a year.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Heat Illness Knowledge
Time Frame: 0 weeks to 14 weeks
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Change in heat illness knowledge was assessed using this survey question: "When feeling over heated, the first thing to do is stop working.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Change in Injury Knowledge
Time Frame: 0 weeks to 14 weeks
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Change in injury knowledge was assessed using this survey question: "On steep and rocky terrain, it is best to move quickly to reduce risk of injury.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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0 weeks to 14 weeks
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Program Usability and Effectiveness
Time Frame: 14 weeks
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Program usability and effectiveness was assessed using the survey question: "During the program, the educational modules were valuable for improving my health."
and "This program was easy to use." and "This was an efficient way to learn the material."
and "I learned ways to improve my health."
and "These topics should be part of our training."
and "I would recommend this program to my co-workers.".
This was measured using a seven-point Likert agreement scale (1 = strongly disagree to 7 = strongly agree).
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14 weeks
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Technology Used for Program
Time Frame: 14 weeks
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Technology used for program was assessed using the survey question: "I primarily used this program on:" The options were 1) Phone, 2) Tablet, 3) Computer, 4) Other.
For other, space was provided for participants to write in their answer.
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14 weeks
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How the Program was Completed
Time Frame: 14 weeks
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How the program was completed was assessed using the survey question: "I primarily used this program on:" The options were 1) By myself, 2) With other firefighters, 3) With my family, 4) Other.
For other, space was provided for participants to write in their answer.
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14 weeks
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in Body Mass Index
Time Frame: 0 weeks to 14 weeks
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Change in body mass index was measured in kg/m2.
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0 weeks to 14 weeks
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Collaborators and Investigators
Publications and helpful links
General Publications
- Clement S, Schauman O, Graham T, Maggioni F, Evans-Lacko S, Bezborodovs N, Morgan C, Rusch N, Brown JS, Thornicroft G. What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies. Psychol Med. 2015 Jan;45(1):11-27. doi: 10.1017/S0033291714000129. Epub 2014 Feb 26.
- Brook RD, Rajagopalan S, Pope CA 3rd, Brook JR, Bhatnagar A, Diez-Roux AV, Holguin F, Hong Y, Luepker RV, Mittleman MA, Peters A, Siscovick D, Smith SC Jr, Whitsel L, Kaufman JD; American Heart Association Council on Epidemiology and Prevention, Council on the Kidney in Cardiovascular Disease, and Council on Nutrition, Physical Activity and Metabolism. Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation. 2010 Jun 1;121(21):2331-78. doi: 10.1161/CIR.0b013e3181dbece1. Epub 2010 May 10.
- Elliot DL, Goldberg L, Kuehl KS, Moe EL, Breger RK, Pickering MA. The PHLAME (Promoting Healthy Lifestyles: Alternative Models' Effects) firefighter study: outcomes of two models of behavior change. J Occup Environ Med. 2007 Feb;49(2):204-13. doi: 10.1097/JOM.0b013e3180329a8d.
- Kuehl KS, Elliot DL, Goldberg L, MacKinnon DP, Vila BJ, Smith J, Miocevic M, O'Rourke HP, Valente MJ, DeFrancesco C, Sleigh A, McGinnis W. The safety and health improvement: enhancing law enforcement departments study: feasibility and findings. Front Public Health. 2014 May 8;2:38. doi: 10.3389/fpubh.2014.00038. eCollection 2014.
- MacKinnon DP, Elliot DL, Thoemmes F, Kuehl KS, Moe EL, Goldberg L, Burrell GL, Ranby KW. Long-term effects of a worksite health promotion program for firefighters. Am J Health Behav. 2010 Nov-Dec;34(6):695-706. doi: 10.5993/ajhb.34.6.6.
- Robertson M, Henning R, Warren N, Nobrega S, Dove-Steinkamp M, Tibirica L, Bizarro A; CPH-NEW Research Team. The Intervention Design and Analysis Scorecard: a planning tool for participatory design of integrated health and safety interventions in the workplace. J Occup Environ Med. 2013 Dec;55(12 Suppl):S86-8. doi: 10.1097/JOM.0000000000000036.
- von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med. 2007 Oct 16;4(10):e296. doi: 10.1371/journal.pmed.0040296.
- Kales SN, Soteriades ES, Christophi CA, Christiani DC. Emergency duties and deaths from heart disease among firefighters in the United States. N Engl J Med. 2007 Mar 22;356(12):1207-15. doi: 10.1056/NEJMoa060357.
- Fritschi L, Glass DC. Firefighters and cancer: where are we and where to now? Occup Environ Med. 2014 Aug;71(8):525-6. doi: 10.1136/oemed-2014-102230. Epub 2014 Jul 4. No abstract available.
- Walton SM, Conrad KM, Furner SE, Samo DG. Cause, type, and workers' compensation costs of injury to fire fighters. Am J Ind Med. 2003 Apr;43(4):454-8. doi: 10.1002/ajim.10200.
- Semmens EO, Domitrovich J, Conway K, Noonan CW. A cross-sectional survey of occupational history as a wildland firefighter and health. Am J Ind Med. 2016 Apr;59(4):330-5. doi: 10.1002/ajim.22566. Epub 2016 Jan 21.
- Britton C, Lynch CF, Ramirez M, Torner J, Buresh C, Peek-Asa C. Epidemiology of injuries to wildland firefighters. Am J Emerg Med. 2013 Feb;31(2):339-45. doi: 10.1016/j.ajem.2012.08.032. Epub 2012 Nov 15.
- Vincent GE, Aisbett B, Hall SJ, Ferguson SA. Fighting fire and fatigue: sleep quantity and quality during multi-day wildfire suppression. Ergonomics. 2016 Jul;59(7):932-40. doi: 10.1080/00140139.2015.1105389. Epub 2015 Dec 18.
- Kuehl KS, Elliot DL, MacKinnon DP, O'Rourke HP, DeFrancesco C, Miocevic M, Valente M, Sleigh A, Garg B, McGinnis W, Kuehl H. The SHIELD (Safety & Health Improvement: Enhancing Law Enforcement Departments) Study: Mixed Methods Longitudinal Findings. J Occup Environ Med. 2016 May;58(5):492-8. doi: 10.1097/JOM.0000000000000716.
- Elliot DL, Goldberg L, Duncan TE, Kuehl KS, Moe EL, Breger RK, DeFrancesco CL, Ernst DB, Stevens VJ. The PHLAME firefighters' study: feasibility and findings. Am J Health Behav. 2004 Jan-Feb;28(1):13-23. doi: 10.5993/ajhb.28.1.2.
- Andajani-Sutjahjo S, Liew TCH, Smith JF, Esekielu I, Mason G, Tariu I. Engaging community volunteers in participatory action research in Tamaki community of Auckland, New Zealand. Health Promot Int. 2018 Apr 1;33(2):219-228. doi: 10.1093/heapro/daw057.
- Elliot DL, Goldberg L, MacKinnon DP, Ranby KW, Kuehl KS, Moe EL. Empiric validation of a process for behavior change. Transl Behav Med. 2016 Sep;6(3):449-56. doi: 10.1007/s13142-015-0343-y.
- Mabry L, Elliot DL, Mackinnon DP, Thoemmes F, Kuehl KS. Understanding the durability of a fire department wellness program. Am J Health Behav. 2013 Sep;37(5):693-702. doi: 10.5993/AJHB.37.5.13.
- Chen SY, Feng Z, Yi X. A general introduction to adjustment for multiple comparisons. J Thorac Dis. 2017 Jun;9(6):1725-1729. doi: 10.21037/jtd.2017.05.34.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- EMW-2018-FP-00284
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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