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Harms of Hepatocellular Carcinoma Surveillance

Completed
Conditions
Carcinoma, Hepatocellular
Interventions
Other: Prospective Longitudinal Data
Other: Surveys and Semi-structured Interviews
Registration Number
NCT03756051
Lead Sponsor
University of Texas Southwestern Medical Center
Brief Summary

This study leverage a multi-center randomized controlled trial assessing screening-related benefits (i.e. early tumor detection, treatment eligibility, and overall survival) among a racially and socioeconomically diverse population of patients with cirrhosis. However, the randomized controlled trial was not budgeted to assess hepatocellular carcinoma screening-related harms. The goal of this study is to quantify physical, financial, and psychosocial harms across three healthcare settings.

Detailed Description

Leveraging a multi-center randomized controlled trial assessing screening benefits in a socioeconomically and racially diverse population of patients with cirrhosis followed in 3 healthcare settings over a 4-year period, this study aims to:

Aim 1: Assess the effect of hepatocellular carcinoma screening on a) physical harms due to follow-up tests, b) financial harms, and c) overdiagnosis in patients with severe liver dysfunction or comorbid illness, through electronic medical record data, manual chart review, and validated survey measures.

Aim 2: Assess the effect of hepatocellular carcinoma screening on screening-related psychosocial harms, e.g. cancer-specific worry, situational anxiety, mood disturbances, and decisional regret, through longitudinal validated measures and qualitative interviews.

Aim 3: Create and disseminate a balance sheet of benefits and harms to inform patients, providers, healthcare organizations, payers, and policymakers about the value of hepatocellular carcinoma screening in patients with cirrhosis.

Over a 4-year period, electronic medical record data will be used to compare screening-related physical and financial harms between patients undergoing and those not undergoing hepatocellular carcinoma screening. Psychosocial harms, as ascertained through longitudinal measurement of validated survey instruments and qualitative interviews, will be compared between patients with positive or indeterminate screening results and those with negative results or without any screening. Mixed-effect regression analysis will be used to determine if screening harms differed by factors at multiple levels including patient (e.g. degree of liver dysfunction), provider (e.g. subspecialty training), and healthcare organization (e.g. access to liver transplantation). This study will seamlessly complement data from the parent randomized controlled trial. By immediately translating these high quality data about hepatocellular carcinoma screening benefits and harms into a balance sheet, the investigators will facilitate patient-provider discussions, inform payer decisions about reimbursement, and guide policy decisions. These data are also crucial to identify modifiable and high-yield intervention targets and strategies to reduce hepatocellular carcinoma screening harms in the future.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
2871
Inclusion Criteria
  • Adult patients (≥ 21 years old)
  • Cirrhosis
  • Outpatient visit in year prior to randomization
  • English or Spanish speaking
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Exclusion Criteria
  • History of hepatocellular carcinoma
  • History of liver transplantation
  • Child Pugh C cirrhosis
  • Significant comorbid conditions with life expectancy < 1 year, (e.g., extrahepatic malignancy)
Read More

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
CohortProspective Longitudinal DataThis study will collect prospective longitudinal data to characterize rates and identify correlates of a) physical harms due to follow-up tests, b) financial harms, and c) inappropriate screening using electronic medical record data and manual chart review. The study will also use surveys and semi-structured interviews to characterize rates and identify correlates of screening-related psychological harms, e.g. cancer specific worry, situational anxiety, mood disturbances, and decisional regret. Lastly, investigators will create and disseminate a balance sheet of benefits and harms to inform patients, providers, healthcare organizations, payers, and policymakers about the role of hepatocellular carcinoma screening in patients with cirrhosis.
CohortSurveys and Semi-structured InterviewsThis study will collect prospective longitudinal data to characterize rates and identify correlates of a) physical harms due to follow-up tests, b) financial harms, and c) inappropriate screening using electronic medical record data and manual chart review. The study will also use surveys and semi-structured interviews to characterize rates and identify correlates of screening-related psychological harms, e.g. cancer specific worry, situational anxiety, mood disturbances, and decisional regret. Lastly, investigators will create and disseminate a balance sheet of benefits and harms to inform patients, providers, healthcare organizations, payers, and policymakers about the role of hepatocellular carcinoma screening in patients with cirrhosis.
Primary Outcome Measures
NameTimeMethod
Physical Harms4 Years

Physical harms (contrast injury, radiation exposure, and biopsy complications) can result from screening or follow-up testing and extends beyond medical complications to include discomfort. A binary outcome (harm vs. no harm) will be defined for each person and each type of physical harm (contrast injury, radiation exposure, biopsy, and any physical harm). We will report the point estimate and 95% confidence interval for the proportion of patients with each type of harm in each arm, stratified by health system. Using an intention-to-treat principle, we will use Chi squared test to compare the proportion of patients with physical harms between the screening and usual care arms, with a secondary analysis stratified by health system. We will also perform a sensitivity analysis based on test intent, in which we will only include tests (and corresponding harms) performed as a direct result of hepatocellular carcinoma screening.

Financial Harms4 Years

Financial harms may include anticipated or real costs of hepatocellular carcinoma screening and diagnostic evaluation including, indirect costs such as missed work, and opportunity costs such as distraction from other health-related activities. Financial harms will be summarized for each arm using descriptive analyses as average and range of costs per person. Degree of financial harms will be compared between the hepatocellular carcinoma screening and usual care arms using Student T test, with a secondary analysis stratified by health system. In a secondary analysis, a mixed-effect model approach will be employed to identify patient-, provider- and system-level factors associated with financial harm.

Overdiagnosis4 Years

Defined as hepatocellular carcinoma diagnoses that are unlikely to have an effect on mortality, specifically among patients with: 1) significant comorbid conditions or 2) severe liver dysfunction, i.e. Child Pugh C cirrhosis, who are not candidates for liver transplantation, at hepatocellular carcinoma diagnosis. For the primary analysis, Chi squared test will be used to compare the proportion of patients with overdiagnosis between the screening arm and usual care arm, stratified by health system.

Psychosocial Harms4 Years

Patients will be divided into 4 categories: true positives, false positives, true negatives, and no screening. True positives will be defined as those who develop hepatocellular carcinoma within 6 months of the screening test; false positives as those who remain without hepatocellular carcinoma diagnosis during 6 months of follow-up; and true negatives as those with normal screening tests and without hepatocellular carcinoma diagnosis during 6 months of follow-up. Psychosocial harms (cancer-specific worry, situational anxiety, mood disturbances, and decisional regret) will be defined by change in survey scores from baseline and will be calculated at 1 month and 6 months for each patient.

Secondary Outcome Measures
NameTimeMethod
Patient-, Provider-, and System-level Factors Associated with Physical Harms4 Years

As a secondary analysis, we will construct mixed-effect logistic regression models to identify patient-, provider-, and system-level factors associated with physical harms (contrast injury, radiation exposure, biopsy, and any physical harm). Models will include random effects for providers and health systems to account for potential correlation at different levels. Final models will include covariates identified by stepwise variable selection procedure and those considered clinically important a priori (BMI, race, liver dysfunction, and gastroenterology care). Statistical significance will be declared for p\<0.05.

Patient-, Provider-, and System-level Factors Associated with Psychosocial Harms4 Years

We will construct a mixed regression model with the outcome being decisional regret and covariates including patient-, provider- and system-level factors. Decisional regret score, ranging from 0 to 100, will be analyzed as a continuous outcome. The mixed model will include random effects for providers and systems to account for correlation at different levels. The model will include covariates identified through stepwise variable selection and those considered clinically important a priori (age, gender, race and ethnicity, liver dysfunction).

Physical Harms12 Months

Physical harms (contrast injury, radiation exposure, and biopsy complications) can result from screening or follow-up testing and extends beyond medical complications to include discomfort.

Trial Locations

Locations (1)

University of Texas Southwestern Medical Center

🇺🇸

Dallas, Texas, United States

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