The ethics of uninsured participants accessing healthcare in biomedical research: A literature review

Background/aims Sparse literature exists on the challenges and ethical considerations of including people with limited access to healthcare, such as the uninsured and low-income, in clinical research in high-income countries. However, many ethical issues should be considered with respect to working with uninsured and low-income participants in clinical research, including enrollment and retention, ancillary care, and post-trial responsibilities. Attention to the uninsured and low-income is particularly salient in the United States due to the high rates of uninsurance and underinsurance. Thus, we conducted a scoping review on the ethical considerations of biomedical clinical research with uninsured and low-income participants in high-income countries in order to describe what is known and to pinpoint areas of needed research on this issue. Methods MEDLINE/PubMed, Embase, and Scopus databases were searched using terms that described main concepts of interest (e.g., uninsured, underinsured, access to healthcare, poverty, ethics, compensation, clinical research). Articles were included if they met four inclusion criteria: (1) English, (2) high-income countries context, (3) about research participants who are uninsured or low-income, which limits their access to healthcare, and in biomedical clinical research that either had a prospect of direct medical benefit or was offered to them on the basis of their ill health, and (4) recognizes and/or addresses challenges or ethical considerations of uninsured or low-income participants in biomedical clinical research. Results The searches generated a total of 974 results. Ultimately, 23 papers were included in the scoping review. Of 23 articles, the majority (n = 19) discussed enrollment and retention of uninsured or low-income participants. Several barriers to enrolling uninsured and low-income groups were identified, including limited access to primary or preventive care; lack of access to institutions conducting trials or physicians with enough time or knowledge about trials; overall lack of trust in the government, research, or medical system; and logistical issues. Considerably fewer articles discussed treatment of these participants during the course of research (n = 5) or post-trial responsibilities owed to them (n = 4). Thus, we propose a research agenda that builds upon the existing literature by addressing three broad questions: (1) What is the current status of uninsured research participants in biomedical clinical research in high-income countries? (2) How should uninsured research participants be treated during and after clinical research? (3) How, if at all, should additional protections for uninsured research participants affect their enrollment? Conclusions This review reveals significant gaps in both data and thoughtful analysis on how to ethically involve uninsured research participants. To address these gaps, we propose a research agenda to gather needed data and theoretical analysis that addresses three broad research questions.

Recruitment Challenges and Enrollment Observations from a Community Based Intervention (Mothers In Motion) for Low-Income Overweight and Obese Women

BACKGROUND

Mothers In Motion (MIM), a randomized controlled trial, aimed to help young, low-income overweight and obese mothers prevent weight gain by promoting stress management, healthy eating, and physical activity. This paper describes MIM recruitment challenges and reports demographic characteristics affecting enrollment.

METHODS

Participants who were African American or Non-Hispanic White were recruited from the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Michigan. We faced numerous recruitment challenges and learned that several strategies facilitated recruitment. Logistic regression analyses were performed to examine demographic characteristics that affect enrollment.

RESULTS

Women who had a higher body mass index (BMI, OR 1.06, 95% CI 1.02 - 1.10); were at late postpartum, (OR 1.24, 95% CI 1.10 - 1.40), were breastfeeding (OR 5.0, 95% CI 2.34 -10.65); or were at early postpartum and breastfeeding (OR 0.42, 95% CI 0.22 - 0.81) were more likely to enroll than their counterparts. Compared to African American women, Non-Hispanic White women were more likely to enroll (OR 1.77, 95% CI 1.29 - 2.42). Also, women who were non-smokers (OR 0.54, 95% CI 0.40 - 0.73) or had a higher education were more likely to enroll (OR 1.21, 95% CI 1.04 - 1.42) than those who smoked or had a lower education.

CONCLUSION

Future lifestyle behavioral intervention studies for similar target audiences may consider tailoring their recruitment messages based on relevant participant demographic characteristics identified as potential determinants of enrollment in this study.

Screening and enrollment of underrepresented ethnocultural and educational populations in the Alzheimer's Disease Neuroimaging Initiative (ADNI)

INTRODUCTION

An analysis of the ethnocultural and socioeconomic composition of Alzheimer's Disease Neuroimaging Initiative (ADNI) participants is needed to assess the generalizability of ADNI data to diverse populations.

METHODS

ADNI data collected between October 2004 and November 2020 were used to determine ethnocultural and educational composition of the sample and differences in the following metrics: screening, screen fails, enrollment, biomarkers.

RESULTS

Of 3739 screened individuals, 11% identified as being from ethnoculturally underrepresented populations (e.g., Black, Latinx) and 16% had <12 years of education. Of 2286 enrolled participants, 11% identified as ethnoculturally underrepresented individuals and 15% had <12 years of education. This participation is considerably lower than US Census data for adults 60+ (ethnoculturally underrepresented populations: 25%; <12 years of education: 4%). Individuals with <12 years of education failed screening at a higher rate.

DISCUSSION

Our findings suggest that ADNI results may not be entirely generalizable to ethnoculturally diverse and low education populations.

Is the Autism Boom Headed for Medicaid? Patterns in the Enrollment of Autistic Adults in Wisconsin Medicaid, 2008-2018

Our primary objective was to describe demographic characteristics and enrollment patterns in a unique 11-year full sample of adult Wisconsin Medicaid beneficiaries with identified autism spectrum disorder (ASD) or intellectual disability (ID). We obtained de-identified Medicaid claims data for adults with a recorded ASD or ID diagnosis aged 21 and older with any Medicaid fee-for-service claims between January 1, 2008 and December 31, 2018. We assessed enrollment, age, number of visits, and paid amount per year using generalized linear models with a random intercept for each beneficiary. We identified claims for 4,775 autistic adults without ID, 2,738 autistic adults with ID, 14,945 adults with ID, and 3,484 adults with Down syndrome. The age distribution of the diagnostic group with ASD diagnoses was right skewed with a majority of beneficiaries less than age 30. The ASD without ID diagnostic group had the least visits and paid amount per person per year compared to other groups. In each age category, the ASD with ID diagnostic group had the most paid amount per person per year compared to other groups. It is urgent that we identify the health and health service needs of autistic adults from young adulthood through old age. Our findings have implications for ensuring adequate health coverage across the lifespan and highlight the importance of a strong and accessible health care system for autistic people. Autism Res 2019, 12: 1541-1550. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Medicaid provides health insurance to disabled people who meet income requirements. We assessed patterns of enrollment and service use among autistic adults and adults with developmental disabilities in Wisconsin Medicaid. We found a consistent influx of new young autistic adults without intellectual disability into the Medicaid system, with fewer visits and lower paid amounts compared to other developmental disability groups. The changing population of autistic people using Medicaid has implications for providing health care to autistic adults in the future.

Adverse selection and supply-side factors in the enrollment in community-based health insurance in Northwest Ethiopia: A mixed methodology

BACKGROUND

Since 2010, the Ethiopian government introduced different measures to implement community-based health insurance (CBHI) schemes to improve access to health service and reduce the catastrophic effect of health care costs.

OBJECTIVES

The aim of this study was to examine the determinants of enrollment in CBHI in Northwest Ethiopia.

METHODS

In this study, we utilized a mix of quantitative (multivariate logistic regression applied to population survey linked with health facility survey) and qualitative (focus group discussion and in-depth interview) methods to better understand the factors that affect CBHI enrollment.

RESULTS

The study revealed important factors, such as household, informal association, and health facility, as barriers to CBHI enrollment. Age and educational status, self-rated health status, perceived quality of health services, knowledge, and information (awareness) about CBHI were among the characteristics of individual household head, affecting enrollment. Household size and participation in an informal association, such as local credit associations, were also positively associated with CBHI enrollment. Additionally, health facility factors like unavailability of laboratory tests were the main factor that hinders CBHI enrollment.

CONCLUSIONS

This study showed a possibility of adverse selection in CBHI enrollment. Additionally, perceived quality of health services, knowledge, and information (awareness) are positively associated with CBHI enrollment. Therefore, policy interventions to mitigate adverse selection as well as provision of social marketing activities are crucial to increase enrollment in CBHI. Furthermore, policy interventions that enhance the capacity of health facilities and schemes to provide the promised services are necessary.

The effect of premium changes on SCHIP enrollment duration

RESEARCH OBJECTIVE

To examine the impact of premium changes in Florida's State Children's Health Insurance Program (SCHIP) on enrollment duration.

DATA SOURCES

Administrative records, containing enrollment and demographic data, were used to identify 173,330 enrollment spells for 153,768 children in Florida's SCHIP from July 2002 through June 2004. Health care claims data were used to classify the children's health status.

STUDY DESIGN

Accelerated failure time models were used to examine the immediate and longer term effects on enrollment length of a temporary premium increase of $15 to $20 per family per month (PFPM) for children in families with income between 101-150 percent of the federal poverty level (FPL) and a permanent premium increase of $15 to $20 PFPM for children in families with 151-200 percent FPL. Health status and sociodemographic variables were included as covariates. Transfers to other public health insurance programs were taken into account.

PRINCIPAL FINDINGS

Enrollment lengths decreased significantly immediately following the premium increases, with a greater percentage decrease among lower income children (61 percent) than higher income children (55 percent). Enrollment lengths partially recovered in the longer term for both the temporary and permanent changes. Those with significant acute or chronic health conditions had longer enrollment lengths and were less sensitive to premium changes than healthy children.

CONCLUSIONS

An increase in the PFPM premium amount had differential effects across income categories and health status levels. Enrollment lengths remained shortened after the premium increase was rescinded for lower income families, suggesting that it may be difficult to reverse the impacts of even a short-term premium increase.

The Children's Oncology Group Adolescent and Young Adult Responsible Investigator Network: A New Model for Addressing Site-Level Factors Impacting Clinical Trial Enrollment

Purpose: In the Children's Oncology Group (COG), there is precedent for scientific committees designating institutional Responsible Investigators (RIs) to promote clinical trial enrollment and coordinate related research activities. In response to low enrollment of adolescents and young adults (AYAs) on COG clinical trials, the COG AYA RI Network was established. Leveraging this network, we undertook an initiative to identify site-level factors influencing AYA enrollment. Methods: The overarching goal of the AYA RI Network is to increase AYA enrollment onto COG trials. At each site, RIs highlight AYA disparities, facilitate activation of relevant trials, improve recruitment processes, and expand interactions with medical oncologists. Through a series of monthly national webinars and workshops, participating RIs reported local barriers and facilitators enrolling AYAs. A mixed-methods approach was utilized to determine major themes of factors affecting site-level enrollment. Results: For this report, there were 145 participating RIs representing 122 demographically and geographically diverse sites. There were 13 interactive webinars and 3 symposia involving 25 speakers focused on addressing enrollment barriers. Major thematic categories for site-level barriers were (1) Lack of available trials; (2) Poor communication between pediatric and medical oncology; (3) Logistical constraints to accessing trials; and (4) Need for leadership support, sufficient resources and appropriate policies. Conclusion: The COG AYA RI Network has identified multiple site-level barriers impeding AYA clinical trial enrollment and represents a novel model for developing and implementing appropriate solutions through a nationally coordinated strategy.

A data-rich recruitment core to support translational clinical research

BACKGROUND

Underenrollment of clinical studies wastes resources and delays assessment of research discoveries. We describe the organization and impact of a centralized recruitment core delivering comprehensive recruitment support to investigators.

METHODS

The Rockefeller University Center for Clinical and Translational Science supports a centralized recruitment core, call center, Research Volunteer Repository, data infrastructure, and staff who provide expert recruitment services to investigators. During protocol development, consultations aim to optimize enrollment feasibility, develop recruitment strategy, budget, and advertising. Services during study conduct include advertising placement, repository queries, call management, prescreening, referral, and visit scheduling. Utilization and recruitment outcomes are tracked using dedicated software.

RESULTS

For protocols receiving recruitment services during 2009-2013: median time from initiation of recruitment to the first enrolled participant was 10 days; of 4,047 first-time callers to the call center, 92% (n = 3,722) enrolled in the Research Volunteer Repository, with 99% retention; 23% of Repository enrollees subsequently enrolled in ≥1 research studies, with 89% retention. Of volunteers referred by repository queries, 49% (280/537) enrolled into the study, with 92% retained.

CONCLUSIONS

Provision of robust recruitment infrastructure including expertise, a volunteer repository, data capture and real-time analysis accelerates protocol accrual. Application of recruitment science improves the quality of clinical investigation.

Enrollment of adolescents and young adults onto SWOG cancer research network clinical trials: A comparative analysis by treatment site and era

BACKGROUND

Few adolescents and young adults (AYAs, 15-39 years old) enroll onto cancer clinical trials, which hinders research otherwise having the potential to improve outcomes in this unique population. Prior studies have reported that AYAs are more likely to receive cancer care in community settings. The National Cancer Institute (NCI) has led efforts to increase trial enrollment through its network of NCI-designated cancer centers (NCICC) combined with community outreach through its Community Clinical Oncology Program (CCOP; replaced by the NCI Community Oncology Research Program in 2014).

METHODS

Using AYA proportional enrollment (the proportion of total enrollments who were AYAs) as the primary outcome, we examined enrollment of AYAs onto SWOG therapeutic trials at NCICC, CCOP, and non-NCICC/non-CCOP sites from 2004 to 2013 by type of site, study period (2004-08 vs 2009-13), and patient demographics.

RESULTS

Overall, AYA proportional enrollment was 10.1%. AYA proportional enrollment decreased between 2004-2008 and 2009-2013 (13.1% vs 8.5%, P < .001), and was higher at NCICCs than at CCOPs and non-NCICC/non-CCOPs (14.1% vs 8.3% and 9.2%, respectively; P < .001). AYA proportional enrollment declined significantly at all three site types. Proportional enrollment of AYAs who were Black or Hispanic was significantly higher at NCICCs compared with CCOPs or non-NCICC/non-CCOPs (11.5% vs 8.8, P = .048 and 11.5% vs 8.6%, P = .03, respectively).

CONCLUSION

Not only did community sites enroll a lower proportion of AYAs onto cancer clinical trials, but AYA enrollment decreased in all study settings. Initiatives aimed at increasing AYA enrollment, particularly in the community setting with attention to minority status, are needed.

Empanelment: A foundational component of primary health care

Empanelment is a foundational strategy for building or improving primary health care systems and a critical pathway for achieving effective universal health coverage. However, there is little international guidance for defining empanelment or understanding how to implement empanelment systems in low- and middle-income countries. To fill this gap, a multi-country collaborative within the Joint Learning Network for Universal Health Coverage developed this empanelment overview, proposing a people-centered definition of empanelment that reflects the responsibility to proactively deliver primary care services to all individuals in a target population. This document, building on existing literature on empanelment and representing input from 10 countries, establishes standard concepts of empanelment and describes why and how empanelment is used. Finally, it identifies key domains that may influence effective empanelment and that must be considered in deciding how empanelment can be implemented. This document is designed to be a useful resource for health policymakers, planners and decision-makers in ministries of health, as well as front line providers of primary care service delivery who are working to ensure quality people-centered primary care to everyone everywhere.

Television Advertising and Health Insurance Marketplace Consumer Engagement in Kentucky: A Natural Experiment

Background

Reductions in health insurance enrollment outreach could have negative effects on the individual health insurance market. Specifically, consumers may not be informed about the availability of coverage, and if some healthier consumers fail to enroll, there could be a worse risk pool for insurers. Kentucky created its own Marketplace, known as kynect, and adopted Medicaid expansion under the Affordable Care Act, which yielded the largest decline in adult uninsured rate in the United States from 2013 to 2016. The state sponsored an award-winning media campaign, yet after the election of a new governor in 2015, it declined to renew the television advertising contract for kynect and canceled all pending television ads with over a month remaining in the 2016 open enrollment period.

Objective

The objective of this study is to examine the stark variation in television advertising across multiple open enrollment periods in Kentucky and use this variation to estimate the dose-response effect of state-sponsored television advertising on consumer engagement with the Marketplace. In addition, we assess to what extent private insurers can potentially help fill the void when governments reduce or eliminate television advertising.

Methods

We obtained television advertising (Kantar Media/Campaign Media Analysis Group) and Marketplace data (Kentucky Health Benefit Exchange) for the period of October 1, 2013, through January 31, 2016, for Kentucky. Advertising data at the spot level were collapsed to state-week counts by sponsor type. Similarly, a state-week series of Marketplace engagement and enrollment measures were derived from state reports to Centers for Medicare and Medicaid Services. We used linear regression models to estimate associations between health insurance television advertising volume and measures of information-seeking (calls to call center; page views, visits, and unique visitors to the website) and enrollment (Web-based and total applications, Marketplace enrollment).

Results

We found significant dose-response effects of weekly state-sponsored television advertising volume during open enrollment on information-seeking behavior (marginal effects of an additional ad airing per week for website page views: 7973, visits: 390, and unique visitors: 388) and enrollment activity (applications, Web-based: 61 and total: 56).

Conclusions

State-sponsored television advertising was associated with nearly 40% of unique visitors and Web-based applications. Insurance company television advertising was not a significant driver of engagement, an important consideration if cuts to government-sponsored advertising persist.

Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis

Background

There is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared electronic recruitment methods to in-person recruitment, particularly across health systems.

Objective

The objective of this study was to describe the steps and efficiency of the recruitment process and participant characteristics by recruitment strategy.

Methods

EHR-based eligibility criteria included being an adult patient engaged in outpatient primary or bariatric surgery care at one of 5 health systems in the PaTH Clinical Research Network and having ≥2 weight measurements and 1 height measurement recorded in their EHR within the last 5 years. Recruitment strategies varied by site and included one or more of the following methods: (1) in-person recruitment by study staff from clinical sites, (2) US postal mail recruitment letters, (3) secure email, and (4) direct EHR recruitment through secure patient web portals. We used descriptive statistics to evaluate participant characteristics and proportion of patients recruited (ie, efficiency) by modality.

Results

The total number of eligible patients from the 5 health systems was 5,051,187. Of these, 40,048 (0.8%) were invited to enter an EHR-based cohort study and 1085 were enrolled. Recruitment efficiency was highest for in-person recruitment (33.5%), followed by electronic messaging (2.9%), including email (2.9%) and EHR patient portal messages (2.9%). Overall, 779 (65.7%) patients were enrolled through electronic messaging, which also showed greater rates of recruitment of Black patients compared with the other strategies.

Conclusions

We recruited a total of 1085 patients from primary care and bariatric surgery settings using 4 recruitment strategies. The recruitment efficiency was 2.9% for email and EHR patient portals, with the majority of participants recruited electronically. This study can inform the design of future research studies using EHR-based recruitment.

Marijuana Use and Its Association with Participation, Navigation, and Enrollment in Health Research among African Americans

This analysis examined the association between marijuana (Mj) use, willingness to participate, navigation and enrollment in health research among African Americans. Data from HealthStreet, a community-engagement model implemented in North Central Florida that reduces health disparities by engaging and linking community members to medical and social services and health research opportunities, were analyzed to determine willingness of African American Mj users to participate, be navigated to and enroll in health research studies. Among 1,496 African American community members, 8.0% were current Mj users, 30.3% were past Mj users and 61.7% reported never using Mj. Current and past Mj users were more willing to volunteer for a research study that only involved the use of medical records, required an overnight stay in a hospital or clinic, or might require use of medical equipment compared to those who never used Mj. Current Mj users were significantly less likely to be navigated (95% CI: 0.21-0.58) to health research studies while past Mj users (95% CI: 1.05-2.64) were significantly more likely to be enrolled in health research studies. Navigating and enrolling Mj users into health research studies could help decrease health disparities and increase health equity for the entire community since study findings would undoubtedly be more representative of the entire community rather than a select few.

The Trump Effect: Postinauguration Changes in Marketplace Enrollment

CONTEXT

On January 20, 2017, President Donald Trump penned his first executive order, which aimed to "minimiz[e] the economic burden" of the Affordable Care Act, signaling his intent to make good on promises to repeal and replace the law. This executive order, along with concurrent changes in political messaging associated with the transition in power and reductions in HealthCare.gov advertising, lowered Health Insurance Marketplace enrollment at the end of the 2017 open enrollment period.

METHODS

The authors used difference-in-differences and event-study models with weekly county-level Marketplace application data from 1,476 counties in 37 states to estimate the incremental enrollment loss in the postinauguration period.

FINDINGS

Estimates indicate a population-weighted decline of over 700 applications per county-week during the final 2 weeks of the 2017 open enrollment period relative to 2016, corresponding to a nearly 30% decline in applications submitted. A more flexible event-study approach that better accounts for time shifting of enrollment across open enrollment periods found a similar decline of approximately 660 applications per county-week associated with the postinauguration period (-24%).

CONCLUSIONS

The lack of political support for the law by the incoming administration seemingly had an immediate and significant downward effect on Marketplace enrollment nationwide.

Predicting Enrollment in Multidisciplinary Clinical Care for Pediatric Weight Management

OBJECTIVES

To characterize the children who were referred, determine the proportion of referred children who enrolled, and examine factors associated with enrollment in multidisciplinary clinical care for pediatric weight management.

STUDY DESIGN

This cross-sectional study included the population of children (2-17 years of age; body mass index of ≥85th percentile) referred to 1 of 3 hospital-based multidisciplinary weight management clinics in Alberta, Canada, from April 2013 to April 2016. Referral and enrollment data were obtained from Alberta Health Services databases. Bivariate and multivariable logistic regression models were used to determine the independent and combined effects of predictors of enrollment.

RESULTS

Of the 2014 children (51.8% male; mean body mass index z-score: 3.42 ± 0.03) referred to multidisciplinary clinical care, 757 (37.6%) enrolled in care. Most referred children had severe obesity and were referred by physicians. Several factors independently predicted enrollment; however, in our most parsimonious multivariable model, only the time gap (OR, 0.94; 95% CI, 0.88-0.99; P = .03) between the attendance date of the orientation session and the booking date of initial appointment predicted enrollment for all children. Body mass index z-score (OR, 0.81; 95% CI, 0.67-0.98; P = .03) and time gap (OR, 0.92; 95% CI, 0.85-0.99; P = .02) predicted enrollment in children with severe obesity exclusively.

CONCLUSIONS

Fewer than 40% of referred children enrolled in multidisciplinary clinical care. Reducing the duration of enrollment and providing additional support for treatment initiation to children with severe obesity may enhance treatment uptake for pediatric weight management.

Use of Electronic Health Records to Develop and Implement a Silent Best Practice Alert Notification System for Patient Recruitment in Clinical Research: Quality Improvement Initiative

BACKGROUND

Participant recruitment, especially for frail, elderly, hospitalized patients, remains one of the greatest challenges for many research groups. Traditional recruitment methods such as chart reviews are often inefficient, low-yielding, time consuming, and expensive. Best Practice Alert (BPA) systems have previously been used to improve clinical care and inform provider decision making, but the system has not been widely used in the setting of clinical research.

OBJECTIVE

The primary objective of this quality-improvement initiative was to develop, implement, and refine a silent Best Practice Alert (sBPA) system that could maximize recruitment efficiency.

METHODS

The captured duration of the screening sessions for both methods combined with the allotted research coordinator hours in the Emerald-COPD (chronic obstructive pulmonary disease) study budget enabled research coordinators to estimate the cost-efficiency.

RESULTS

Prior to implementation, the sBPA system underwent three primary stages of development. Ultimately, the final iteration produced a system that provided similar results as the manual Epic Reporting Workbench method of screening. A total of 559 potential participants who met the basic prescreen criteria were identified through the two screening methods. Of those, 418 potential participants were identified by both methods simultaneously, 99 were identified only by the Epic Reporting Workbench Method, and 42 were identified only by the sBPA method. Of those identified by the Epic Reporting Workbench, only 12 (of 99, 12.12%) were considered eligible. Of those identified by the sBPA method, 30 (of 42, 71.43%) were considered eligible. Using a side-by-side comparison of the sBPA and the traditional Epic Reporting Workbench method of screening, the sBPA screening method was shown to be approximately four times faster than our previous screening method and estimated a projected 442.5 hours saved over the duration of the study. Additionally, since implementation, the sBPA system identified the equivalent of three additional potential participants per week.

CONCLUSIONS

Automation of the recruitment process allowed us to identify potential participants in real time and find more potential participants who meet basic eligibility criteria. sBPA screening is a considerably faster method that allows for more efficient use of resources. This innovative and instrumental functionality can be modified to the needs of other research studies aiming to use the electronic medical records system for participant recruitment.

Role of implicit bias in pediatric cancer clinical trials and enrollment recommendations among pediatric oncology providers

BACKGROUND

Provider implicit bias can negatively affect clinician-patient communication. In the current study, the authors measured implicit bias training among pediatric oncology providers and exposure to implicit association tests (IATs). They then assessed associations between IATs for race and socioeconomic status (SES) and recommendations for clinical trial enrollment.

METHODS

A prospective multisite study was performed to measure implicit bias among oncology providers at St. Jude Children's Research Hospital and affiliate clinics. An IAT was used to assess bias in the domains of race and SES. Case vignettes were used to determine an association between bias and provider recommendation for trial enrollment. Data were analyzed using Student t tests or Wilcoxon tests for comparisons and Jonckheere-Terpstra tests were used for association.

RESULTS

Of the 105 total participants, 95 (90%) had not taken an IAT and 97 (92%) had no prior implicit bias training. A large effect was found for (bias toward) high SES (Cohen d, 1.93) and European American race (Cohen d, 0.96). The majority of participants (90%) had a vignette score of 3 or 4, indicating recommendation for trial enrollment for most or all vignettes. IAT and vignette scores did not significantly differ between providers at St. Jude Children's Research Hospital or affiliate clinics. No association was found between IAT and vignette scores for race (P = .58) or SES (P = .82).

CONCLUSIONS

The authors noted a paucity of prior exposure to implicit bias self-assessments and training. Although these providers demonstrated preferences for high SES and European American race, this did not appear to affect recommendations for clinical trial enrollment as assessed by vignettes.

A comparative study of patients' attitudes toward clinical research in the United States and urban and rural China

As the number of clinical trials conducted in China increases, understanding Chinese attitudes toward clinical research is critical for designing effective and ethical studies. Two survey studies were conducted in 2012 and 2013 to compare patient attitudes toward clinical research and factors affecting research participation in the United States and urban and rural China. We surveyed 525 patients in 2012 (186 US, 186 urban, 153 rural China) and 690 patients in 2013 (412 US, 206 urban, 72 rural China). US patients were more likely to have no concerns regarding research participation than Chinese patients. Most common concerns of US patients were safety, privacy and confidentiality, and time required. Safety was a top concern for many Chinese. Chinese patients, particularly rural Chinese, were more concerned about the likelihood of self-benefit, and receiving free medical care and financial incentive had greater influence on their participation. Being informed of the freedom to choose whether to participate or to leave a study was less important to Chinese patients. Our study provides important insights into Chinese patients' attitudes toward clinical research and the need to educate them about their rights. These findings help in designing cross-cultural clinical studies that maximize enrollment while upholding Western ethical standards.

Exploratory Analysis of Time from HIV Diagnosis to ART Start, Factors and effect on survival: A longitudinal follow up study at seven teaching hospitals in Ethiopia

BACKGROUND

The HIV care in Ethiopia has reached 79% coverage. The timeliness of the care provided at the different levels in the course of the disease starting from knowing HIV positive status to ART initiation is not well known. This study intends to explore the timing of the care seeking, the care provision and associated factors.

METHODS

This is a longitudinal follow-up study at seven university hospitals. Patients enrolled in HIV care from September 2005 to December 2013 and aged ≥14 years were studied. Different times in the cascade of HIV care were examined including the duration from date HIV diagnosed to enrollment in HIV care, duration from enrollment to eligibility for ART and time from eligibility to initiation of ART. Ordinal logistic regression was used to investigate their determinants while the effect of these periods on survival of patients was determined using cox-proportional hazards regression.

RESULTS

4159 clients were studied. Time to enrollment after HIV test decreased from 39 days in 2005 to 1 day after 2008. It took longer if baseline CD4 was higher, and eligibility for ART was assessed late. Young adults, lower baseline CD4, HIV diagnosis<2008, late enrollment, and early eligibility assessment were associated with early ART initiation. Male gender, advanced disease stage and lower baseline CD4 were consistent risk factors for mortality.

CONCLUSION AND RECOMMENDATION

Time to enrollment and duration of ART eligibility assessment as well as ART initiation time after eligibility is improving. Further study is required to identify why mortality is slightly increasing after 2010.

A Department of Motor Vehicle-Based Intervention to Promote Organ Donor Registrations in New York State

CONTEXT

Examination of efficacy of motor vehicle representative educational training and dissemination of promotional materials as a means to promote organ donation enrollments in New York State.

OBJECTIVE

To increase the number of New York State residents who consent to donation through the department of motor vehicle transactions during project period.

SETTING

County-run motor vehicle offices across New York State.

PARTICIPANTS

Customers who present to New York Department of Motor Vehicle offices and the representative who work at designated bureaus.

INTERVENTIONS

point-of-decision materials including promotional posters, brochures, website, and the motor vehicle representative training sessions.

MAIN OUTCOME MEASURES

Reasons for enrollment decision, knowledge/experience with donation, monthly consent rates, enrollment in state organ, and tissue registry.

RESULTS

Customers who elected not to register reported no reason or uncertainty surrounding enrollment. The representatives reported experience with donation, discussion with customers, and need for additional education on organ donation. Enrollment cards were mailed to 799 project staff; counties where offices participated in intervention did not indicate significantly higher monthly enrollments when comparing pre- to postenrollment rates.

CONCLUSIONS

Use of point-of-decision materials and enrollment cards proved inexpensive method to register customers with a 3.6% return rate. Customers report low (27%) enrollment rate and reticence to consent to donation. Educational training sessions with representatives did not yield significant enrollment increases when evaluating data at county-level enrollment.

General Practice and Digital Methods to Recruit Stroke Survivors to a Clinical Mobility Study: Comparative Analysis

BACKGROUND

Participant recruitment remains a barrier to conducting clinical research. The disabling nature of a stroke, which often includes functional and cognitive impairments, and the acute stage of illness at which patients are appropriate for many trials make recruiting patients particularly complex and challenging. In addition, people aged 65 years and older, which includes most stroke survivors, have been identified as a group that is difficult to reach and is commonly underrepresented in health research, particularly clinical trials. Digital media may provide effective tools to support enrollment efforts of stroke survivors in clinical trials.

OBJECTIVE

The objective of this study was to compare the effectiveness of general practice (traditional) and digital (online) methods of recruiting stroke survivors to a clinical mobility study.

METHODS

Recruitment for a clinical mobility study began in July 2018. Eligible study participants included individuals 18 years and older who had a single stroke and were currently ambulatory in the community. General recruiting practice included calling individuals listed in a stroke registry, contacting local physical therapists, and placing study flyers throughout a university campus. Between May 21, 2019, and June 26, 2019, the study was also promoted digitally using the social network Facebook and the search engine marketing tool Google AdWords. The recruitment advertisements (ads) included a link to the study page to which users who clicked were referred. Primary outcomes of interest for both general practice and digital methods included recruitment speed (enrollment rate) and sample characteristics. The data were analyzed using the Lilliefors test, the Welch two-sample t test, and the Mann-Whitney test. Significance was set at P=.05. All statistical analyses were performed in MATLAB 2019b.

RESULTS

Our results indicate that digital recruitment methods can address recruitment challenges regarding stroke survivors. Digital recruitment methods allowed us to enroll study participants at a faster rate (1.8 participants/week) compared to using general practice methods (0.57 participants/week). Our findings also demonstrate that digital and general recruitment practices can achieve an equivalent level of sample representativeness. The characteristics of the enrolled stroke survivors did not differ significantly by age (P=.95) or clinical scores (P=.22; P=.82). Comparing the cost-effectiveness of Facebook and Google, we found that the use of Facebook resulted in a lower cost per click and cost per enrollee per ad.

CONCLUSIONS

Digital recruitment can be used to expedite participant recruitment of stroke survivors compared to more traditional recruitment practices, while also achieving equivalent sample representativeness. Both general practice and digital recruitment methods will be important to the successful recruitment of stroke survivors. Future studies could focus on testing the effectiveness of additional general practice and digital media approaches and include robust cost-effectiveness analyses. Examining the effectiveness of different messaging and visual approaches tailored to culturally diverse and underrepresented target subgroups could provide further data to move toward evidence-based recruitment strategies.

School Feeding and Girls' Enrollment: The Effects of Alternative Implementation Modalities in Low-Income Settings in Sub-Saharan Africa

Background

School feeding interventions are implemented in nearly every country in the world, with the potential to support the education, health and nutrition of school children. In terms of impact on school participation, there is little evidence to show that different school feeding modalities have different effect sizes.

Objective

To examine the influence of different school feeding modalities on primary school enrollment, particularly for girls, in 32 countries across sub-Saharan Africa.

Methods

An observational study involving a meta-analysis of published data was developed to examine program effect. Schools were divided according to the type and length of the program: those with existing programs, those that had had school feeding for less than 1 year, and a counterfactual including schools without a program but that were going to initiate school feeding within the survey year. The intervention consisted of two different types of school feeding: onsite meals alone or onsite meals plus take-home rations. Changes in enrollment, both total and disaggregated by grade and gender, over a 1-year period, were used to assess effects of school feeding. To control for pre-program characteristics in the beneficiary population, data on covariates were also examined before the school feeding intervention began and after one year of implementation. Using this design a comparison of enrollment levels was made between the types of treatment schools and controls schools during the period school feeding was first introduced. Standard multiple regression models were used to analyze program effect.

Results

School feeding programs were found to have statistically significant increases in enrollment, with effect size of about 10%. The changes on enrollment varied by modality of school feeding provision and by gender, with onsite meals appearing to have stronger effects in the first year of treatment in the lower primary grades, and onsite combined with take-home rations also being effective post-year 1, particularly for girls that were receiving the extra take-home rations.

Conclusion

School feeding programs had a positive impact on school enrollment. The operational nature of the survey data used in the meta-analysis, however, limits the robustness of the design and validity of the findings. Nevertheless, this analysis is the first to study possible links between enrollment and length of program duration using multivariable models, examining whether programs reach a saturation point or steady state beyond which school feeding may in fact have no further benefits on school enrollment. Further research is required to examine this issue in more detail.

Methods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional Study

BACKGROUND

Mobile health apps are important interventions that increase the scale and reach of prevention services, including HIV testing and prevention counseling, pre-exposure prophylaxis, condom distribution, and education, of which all are required to decrease HIV incidence rates. The use of these web-based apps as well as fully web-based intervention trials can be challenged by the need to remove fraudulent or duplicate entries and authenticate unique trial participants before randomization to protect the integrity of the sample and trial results. It is critical to ensure that the data collected through this modality are valid and reliable.

OBJECTIVE

The aim of this study is to discuss the electronic and manual authentication strategies for the iReach randomized controlled trial that were used to monitor and prevent fraudulent enrollment.

METHODS

iReach is a randomized controlled trial that focused on same-sex attracted, cisgender males (people assigned male at birth who identify as men) aged 13-18 years in the United States and on enrolling people of color and those in rural communities. The data were evaluated by identifying possible duplications in enrollment, identifying potentially fraudulent or ineligible participants through inconsistencies in the data collected at screening and survey data, and reviewing baseline completion times to avoid enrolling bots and those who did not complete the baseline questionnaire. Electronic systems flagged questionable enrollment. Additional manual reviews included the verification of age, IP addresses, email addresses, social media accounts, and completion times for surveys.

RESULTS

The electronic and manual strategies, including the integration of social media profiles, resulted in the identification and prevention of 624 cases of potential fraudulent, duplicative, or ineligible enrollment. A total of 79% (493/624) of the potentially fraudulent or ineligible cases were identified through electronic strategies, thereby reducing the burden of manual authentication for most cases. A case study with a scenario, resolution, and authentication strategy response was included.

CONCLUSIONS

As web-based trials are becoming more common, methods for handling suspicious enrollments that compromise data quality have become increasingly important for inclusion in protocols.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/10174.

Statistical modeling and prediction of clinical trial recruitment

Real-time prediction of clinical trial accrual can support logistical planning, ensuring that studies meet but do not exceed sample size targets. We describe a novel, simulation-based prediction method that is founded on a realistic model for the underlying processes of recruitment. The model reflects key features of enrollment such as the staggered initiation of new centers, heterogeneity in enrollment capacity, and declining accrual within centers. The model's first stage assumes that centers join the trial (ie, initiate accrual) according to an inhomogeneous Poisson process in discrete time. The second part assumes that each center's enrollment pattern reflects an early plateau followed by a slow decline, with a burst at the end of the trial following the announcement of an imminent closing date. By summing up achieved and projected enrollment, one can predict accrual as a function of time and, thereby, the time when the trial will achieve a planned enrollment target. We applied our method retrospectively to two real-world trials: NSABP B-38 and REMATCH (Randomized Evaluation of Mechanical Assistance for the Treatment of Congestive Heart Failure). In both studies, the proposed method produced prediction intervals for time to completion that were more accurate than those from conventional predictions that assume a constant rate of enrollment, estimated either from the entire trial to date or over a recent time window. The advantage is substantial in the early stages of NSABP B-38. We conclude that a method based on a realistic accrual model offers improved accuracy in the prediction of enrollment landmarks, especially at the early stages of large trials that involve many centers.