NCT02038283

Brief Summary

Introduction: Colorectal cancer (CRC) is the second most common cancer among Chinese in Hong Kong and the second leading cause of cancer death in this population. Several screening strategies has been associated with improved survival and may affect patients' health-related quality of life (HRQOL). HRQOL impact should be used to adjust for survival in terms of quality adjusted life years (QALY) in the evaluation of cost-effectiveness of any intervention including screening. Objectives: to determine the HRQOL and health preference of patients with different stages of colorectal neoplasm, and to determine the most cost-effective CRC screening strategy for increasing QALYs. Design and Subjects: A longitudinal survey to collect data on HRQOL associated with colorectal neoplasm for Markov modeling on cost-effectiveness of CRC screening. A stratified sample of 420 patients with colorectal polyps and different stages of CRC will be recruited from colorectal clinics of Queen Mary Hospital for health preference and HRQOL assessment. The HRQOL over time will be measured at baseline, 6 and 12 months later. Health preference data will be integrated with cost and effectiveness data obtained from the literature to determine the cost-effectiveness of currently recommended CRC screening strategies by Markov modeling. Main outcome measures: The primary outcome measure is the SF-6D health preference value and QALYs. Secondary outcomes are the SF-12v2 and FACT-C scores. The outcomes will be compared between patients with different stages of colorectal neoplasm. Markov modeling study will estimate the expected QALYs gained and incremental cost-effectiveness ratio for each CRC screening strategy. Results: The study will provide information on HRQOL of patients with colorectal neoplasm to guide health services. The Markov Model will identify the most cost-effective CRC screening strategy for Hong Kong Chinese, which can inform policy makers and the public for the prevention of CRC of the population.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
587

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2009

Typical duration for all trials

Geographic Reach
1 country

3 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 1, 2009

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2010

Completed
1.9 years until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2012

Completed
1.2 years until next milestone

First Submitted

Initial submission to the registry

August 28, 2013

Completed
5 months until next milestone

First Posted

Study publicly available on registry

January 16, 2014

Completed
Last Updated

May 16, 2016

Status Verified

May 1, 2016

Enrollment Period

9 months

First QC Date

August 28, 2013

Last Update Submit

May 13, 2016

Conditions

Keywords

Colorectal NeoplasmsEarly Detection of CancerQuality of LifeQuality-Adjusted Life YearsDirect Service CostsCost-Benefit Analysis

Outcome Measures

Primary Outcomes (3)

  • SF-6D Preference-based Value

    HRQOL preference value measured by The Chinese (HK) SF-6D Health Survey was calculated by the HK population specific algorithm. It ranges from 0 (death) to 1 (perfect health).

    Twelve months

  • Quality-adjusted life years for each screening strategy

    The effectiveness of CRC screening is quantified by Quality-adjusted life years, which was calculated as the product of average duration of each health state (including no illness) and the SF-6D preference value for that particular health state.

    Baseline

  • Direct Health Care Costs for each CRC screening strategy

    The direct health care costs of different CRC screening strategies and treatments of different stages of CRC were estimated using the costs published by the Government Gazette.

    Baseline

Secondary Outcomes (3)

  • HRQOL by SF-12v2 and FACT-C

    Twelve months

  • Health Service Utilizations

    Baseline

  • Factors Associated with HRQOL

    Baseline

Study Arms (6)

Low-risk Colorectal Polyps

≤2 adenomas or 3-4 adenomas all of which are \<1cm

High-risk Colorectal Polyps

≥5 adenomas or ≥3 adenomas at least one of which is ≥1cm

Stage I CRC

at least six months since diagnosis of Stage I CRC

Stage II CRC

at least six months since diagnosis of Stage II CRC

Stage III CRC

at least six months since diagnosis of Stage III CRC

Stage IV CRC

at least six months since diagnosis of Stage IV CRC

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

All Chinese patients of 18 years old or above with a histology of confirmed colorectal polyp or cancer for at least six months were recruited from specialist outpatient medical and surgical colorectal clinics of Queen Mary hospital in Hong Kong.

You may qualify if:

  • Age 18 years or above
  • Have life expectancy of at least 6 months
  • Have confirmed diagnosis of any of the following colorectal neoplasm classified by the screening surveillance guideline and UICC/AJCC (TNM) staging system
  • Have given consent to take part in the study

You may not qualify if:

  • Inability to understand or communicate in Cantonese or Chinese
  • Significant cognitive impairment judged by the doctor to be unable to answer the questionnaire
  • Too ill to carry out an interview
  • Refuse to give consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Department of Clinical Oncology, Faculty of Medicine, The University of Hong Kong

Hong Kong Island, Hong Kong

Location

Department of Medicine, Queen Mary Hospital

Hong Kong Island, Hong Kong

Location

Department of Surgery, Faculty of Medicine, The University of Hong Kong

Hong Kong Island, Hong Kong

Location

Related Publications (13)

  • Wong CK, Lam CL, Law WL, Poon JT, Chan P, Kwong DL, Tsang J. Validity and reliability study on traditional Chinese FACT-C in Chinese patients with colorectal neoplasm. J Eval Clin Pract. 2012 Dec;18(6):1186-95. doi: 10.1111/j.1365-2753.2011.01753.x. Epub 2011 Aug 18.

  • Wong CK, Lam CL, Poon JT, McGhee SM, Law WL, Kwong DL, Tsang J, Chan P. Direct medical costs of care for Chinese patients with colorectal neoplasia: a health care service provider perspective. J Eval Clin Pract. 2012 Dec;18(6):1203-10. doi: 10.1111/j.1365-2753.2011.01776.x. Epub 2011 Nov 23.

  • Wong CK, Lam CL, Rowen D, McGhee SM, Ma KP, Law WL, Poon JT, Chan P, Kwong DL, Tsang J. Mapping the Functional Assessment of Cancer Therapy-general or -Colorectal to SF-6D in Chinese patients with colorectal neoplasm. Value Health. 2012 May;15(3):495-503. doi: 10.1016/j.jval.2011.12.009. Epub 2012 Feb 17.

  • Wong CK, Lam CL, Mulhern B, Law WL, Poon JT, Kwong DL, Tsang J. Measurement invariance of the Functional Assessment of Cancer Therapy-Colorectal quality-of-life instrument among modes of administration. Qual Life Res. 2013 Aug;22(6):1415-26. doi: 10.1007/s11136-012-0272-x. Epub 2012 Sep 28.

  • Wong CK, Lam CL, Poon JT, Kwong DL. Clinical correlates of health preference and generic health-related quality of life in patients with colorectal neoplasms. PLoS One. 2013;8(3):e58341. doi: 10.1371/journal.pone.0058341. Epub 2013 Mar 13.

  • Wong CK, Lam CL, Law WL, Poon JT, Kwong DL, Tsang J, Wan YF. Condition-specific measure was more responsive than generic measure in colorectal cancer: all but social domains. J Clin Epidemiol. 2013 May;66(5):557-65. doi: 10.1016/j.jclinepi.2012.11.010. Epub 2013 Feb 8.

  • Wong CK, Lam CL, Wan YF, Rowen D. Predicting SF-6D from the European Organization for Treatment and Research of Cancer Quality of Life Questionnaire scores in patients with colorectal cancer. Value Health. 2013 Mar-Apr;16(2):373-84. doi: 10.1016/j.jval.2012.12.004.

  • Wong CK, Mulhern B, Wan YF, Lam CL. Responsiveness was similar between direct and mapped SF-6D in colorectal cancer patients who declined. J Clin Epidemiol. 2014 Feb;67(2):219-27. doi: 10.1016/j.jclinepi.2013.08.011. Epub 2013 Nov 1.

  • Wong CK, Law WL, Wan YF, Poon JT, Lam CL. Health-related quality of life and risk of colorectal cancer recurrence and All-cause death among advanced stages of colorectal cancer 1-year after diagnosis. BMC Cancer. 2014 May 17;14:337. doi: 10.1186/1471-2407-14-337.

  • Yang Y, Wong MY, Lam CL, Wong CK. Improving the mapping of condition-specific health-related quality of life onto SF-6D score. Qual Life Res. 2014 Oct;23(8):2343-53. doi: 10.1007/s11136-014-0668-x. Epub 2014 Mar 29.

  • Wong CK, Chen J, Yu CL, Sham M, Lam CL. Systematic review recommends the European Organization for Research and Treatment of Cancer colorectal cancer-specific module for measuring quality of life in colorectal cancer patients. J Clin Epidemiol. 2015 Mar;68(3):266-78. doi: 10.1016/j.jclinepi.2014.09.021. Epub 2014 Nov 6.

  • Lam CL, Law WL, Poon JT, Chan P, Wong CK, McGhee SM, Fong DY. Health-related quality of life in patients with colorectal neoplasm and cost-effectiveness of colorectal cancer screening in Hong Kong. Hong Kong Med J. 2015 Dec;21 Suppl 6:4-8. No abstract available.

  • Wong CK, Lam CL, Wan YF, Fong DY. Cost-effectiveness simulation and analysis of colorectal cancer screening in Hong Kong Chinese population: comparison amongst colonoscopy, guaiac and immunologic fecal occult blood testing. BMC Cancer. 2015 Oct 15;15:705. doi: 10.1186/s12885-015-1730-y.

MeSH Terms

Conditions

Colorectal Neoplasms

Condition Hierarchy (Ancestors)

Intestinal NeoplasmsGastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesColonic DiseasesIntestinal DiseasesRectal Diseases

Study Officials

  • Cindy L.K. Lam, MD

    Department of Family Medicine and Primary Care, Faculty of Medicine, The University of Hong Kong

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Head and Clinical Professor

Study Record Dates

First Submitted

August 28, 2013

First Posted

January 16, 2014

Study Start

October 1, 2009

Primary Completion

July 1, 2010

Study Completion

June 1, 2012

Last Updated

May 16, 2016

Record last verified: 2016-05

Locations