Using the web for recruitment, screen, tracking, data management, and quality control in a dietary assessment clinical validation trial

Uncovering key clinical trial features influencing recruitment

Background

Randomized clinical trials (RCT) are the foundation for medical advances, but participant recruitment remains a persistent barrier to their success. This retrospective data analysis aims to (1) identify clinical trial features associated with successful participant recruitment measured by accrual percentage and (2) compare the characteristics of the RCTs by assessing the most and least successful recruitment, which are indicated by varying thresholds of accrual percentage such as ≥ 90% vs ≤ 10%, ≥ 80% vs ≤ 20%, and ≥ 70% vs ≤ 30%.

Methods

Data from the internal research registry at Columbia University Irving Medical Center and Aggregated Analysis of ClinicalTrials.gov were collected for 393 randomized interventional treatment studies closed to further enrollment. We compared two regularized linear regression and six tree-based machine learning models for accrual percentage (i.e., reported accrual to date divided by the target accrual) prediction. The outperforming model and Tree SHapley Additive exPlanations were used for feature importance analysis for participant recruitment. The identified features were compared between the two subgroups.

Results

CatBoost regressor outperformed the others. Key features positively associated with recruitment success, as measured by accrual percentage, include government funding and compensation. Meanwhile, cancer research and non-conventional recruitment methods (e.g., websites) are negatively associated with recruitment success. Statistically significant subgroup differences (corrected p-value < .05) were found in 15 of the top 30 most important features.

Conclusion

This multi-source retrospective study highlighted key features influencing RCT participant recruitment, offering actionable steps for improvement, including flexible recruitment infrastructure and appropriate participant compensation.

Principal Investigators' Perceptions on Factors Associated with Successful Recruitment in Clinical Trials

Participant recruitment continues to be a challenge to the success of randomized controlled trials, resulting in increased costs, extended trial timelines and delayed treatment availability. Literature provides evidence that study design features (e.g., trial phase, study site involvement) and trial sponsor are significantly associated with recruitment success. Principal investigators oversee the conduct of clinical trials, including recruitment. Through a cross-sectional survey and a thematic analysis of free-text responses, we assessed the perceptions of sixteen principal investigators regarding success factors for participant recruitment. Study site involvement and funding source do not necessarily make recruitment easier or more challenging from the perspective of the principal investigators. The most commonly used recruitment strategies are also the most effort inefficient (e.g., in-person recruitment, reviewing the electronic medical records for prescreening). Finally, we recommended actionable steps, such as improving staff support and leveraging informatics-driven approaches, to allow clinical researchers to enhance participant recruitment.

Development of a risk-tailored approach and dashboard for efficient management and monitoring of investigator-initiated trials

BACKGROUND

Most randomized controlled trials (RCTs) in the academic setting have limited resources for clinical trial management and monitoring. Inefficient conduct of trials was identified as an important source of waste even in well-designed studies. Thoroughly identifying trial-specific risks to enable focussing of monitoring and management efforts on these critical areas during trial conduct may allow for the timely initiation of corrective action and to improve the efficiency of trial conduct. We developed a risk-tailored approach with an initial risk assessment of an individual trial that informs the compilation of monitoring and management procedures in a trial dashboard.

METHODS

We performed a literature review to identify risk indicators and trial monitoring approaches followed by a contextual analysis involving local, national and international stakeholders. Based on this work we developed a risk-tailored management approach with integrated monitoring for RCTs and including a visualizing trial dashboard. We piloted the approach and refined it in an iterative process based on feedback from stakeholders and performed formal user testing with investigators and staff of two clinical trials.

RESULTS

The developed risk assessment comprises four domains (patient safety and rights, overall trial management, intervention management, trial data). An accompanying manual provides rationales and detailed instructions for the risk assessment. We programmed two trial dashboards tailored to one medical and one surgical RCT to manage identified trial risks based on daily exports of accumulating trial data. We made the code for a generic dashboard available on GitHub that can be adapted to individual trials.

CONCLUSIONS

The presented trial management approach with integrated monitoring enables user-friendly, continuous checking of critical elements of trial conduct to support trial teams in the academic setting. Further work is needed in order to show effectiveness of the dashboard in terms of safe trial conduct and successful completion of clinical trials.

Data management system for diabetes clinical trials: a pre-post evaluation study

BACKGROUND

Data management system for diabetes clinical trials is used to support clinical data management processes. The purpose of this study was to evaluate the quality and usability of this system from the users' perspectives.

METHODS

This study was conducted in 2020, and the pre-post evaluation method was used to examine the quality and usability of the designed system. Initially, a questionnaire was designed and distributed among the researchers who were involved in the diabetes clinical trials (n = 30) to investigate their expectations. Then, the researchers were asked to use the system and explain their perspectives about it by completing two questionnaires.

RESULTS

There was no statistically significant differences between the users' perspectives about the information quality, service quality, achievements, and communication before and after using the system. However, in terms of the system quality (P = 0.042) and users' autonomy (P = 0.026), the users' expectations were greater than the system performance. The system usability was at a good level based on the users' opinions.

CONCLUSION

It seems that the designed system largely met the users' expectations in most areas. However, the system quality and users' autonomy need further attentions. In addition, the system should be used in multicenter trials and re-evaluated by a larger group of users.

Data management in diabetes clinical trials: a qualitative study

Background

Clinical trials play an important role in expanding the knowledge of diabetes prevention, diagnosis, and treatment, and data management is one of the main issues in clinical trials. Lack of appropriate planning for data management in clinical trials may negatively influence achieving the desired results. The aim of this study was to explore data management processes in diabetes clinical trials in three research institutes in Iran.

Method

This was a qualitative study conducted in 2019. In this study, data were collected through in-depth semi-structured interviews with 16 researchers in three endocrinology and metabolism research institutes. To analyze data, the method of thematic analysis was used.

Results

The five themes that emerged from data analysis included (1) clinical trial data collection, (2) technologies used in data management, (3) data security and confidentiality management, (4) data quality management, and (5) data management standards. In general, the findings indicated that no clear and standard process was used for data management in diabetes clinical trials, and each research center executed its own methods and processes.

Conclusion

According to the results, the common methods of data management in diabetes clinical trials included a set of paper-based processes. It seems that using information technology can help facilitate data management processes in a variety of clinical trials, including diabetes clinical trials.

A Clinical Data Management System for Diabetes Clinical Trials

BACKGROUND

The use of novel medications and methods to prevent, diagnose, treat, and manage diabetes requires confirmation of safety and efficacy in a well-designed study prior to widespread adoption. Diabetes clinical trials are the studies that examine these issues. The aim of the present study was to develop a web-based system for data management in diabetes clinical trials.

METHODS

The present research was a mixed-methods study conducted in 2019. To identify the required data elements and functions to develop the system, 60 researchers completed a questionnaire. The designed system was evaluated using two methods. The usability of the system was initially evaluated by a group of researchers (n = 6) using the think-aloud method, and after system improvement, the system functions were evaluated by other researchers (n = 30) using a questionnaire.

RESULTS

The main data elements which were required to develop a case report form included "study data," "participant's personal data," and "clinical data." The functional requirements of the system were "managing the study," "creating case report forms," "data management," "data quality control," and "data security and confidentiality." After using the system, researchers rated the system functions at a "good" level (6.3 ± 0.73) on a seven-point Likert scale.

CONCLUSION

Given the complexity of the data management processes in diabetes clinical trials and the widespread use of information technologies in research, the use of clinical data management systems in diabetes clinical trials seems inevitable. The system developed in the current study can facilitate and improve the process of creating and managing case report forms as well as collecting data in diabetes clinical trials.

A/B design testing of a clinical trial recruitment website: A pilot study to enhance the enrollment of older adults

INTRODUCTION

Online tools are increasingly utilized in clinical trial recruitment. A/B testing is an effective technology used in political campaigns and commercial marketing to improve contributions or sales. However, to our knowledge, A/B has not been described in the context of clinical trial recruitment.

METHODS

Two A/B testing experiments were implemented on the recruitment website of the Study To Understand Fall Reduction and Vitamin D in You (STURDY), a response-adaptive, two-stage, randomized controlled trial. Commercial A/B platforms randomized web-users to different versions of the trial's website landing page; Experiment 1 included two infographic versions and Experiment 2 included three video versions. We compared web-user engagement metrics between each version and the original landing page. We determined the effect of each version compared to the original landing page on the likelihood of a web-user to (1) request more information about the trial, (2) complete a screening visit, or (3) enroll in the trial.

RESULTS

A total of 2605 and 374 web-users visited the trial's website during Experiment 1 and 2, respectively. Response to the online interest form significantly differed by infographic version in Experiment 1. The number of individuals who engaged with website content and pages significantly differed by video in Experiment 2.

CONCLUSION

In a pilot study implementing A/B testing of a clinical trial recruitment website, different versions of the website led to differences in web-user engagement and interest in the trial. A/B testing tools offer a promising approach to test the effectiveness of clinical trial recruitment materials and to optimize recruitment campaigns.

CLINICAL TRIAL REGISTRATION

This trial is registered at ClinicalTrials.gov. The trial registration number is NCT02166333. The URL is: https://clinicaltrials.gov/ct2/show/NCT02166333 Trial Registration Number: NCT02166333 Trial Register: ClinicalTrials.gov.

Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis

Background

Clinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology systems have not been frequently used to date. Because medical information systems' underlying data collection methods strongly influence the benefits of implementing patient recruitment support systems, we investigated patient recruitment support system requirements and corresponding electronic record types such as electronic medical record, electronic health record, electronic medical case record, personal health record, and personal cross-enterprise health record.

Objective

The aim of this study was to (1) define requirements for successful patient recruitment support system deployment and (2) differentiate and compare patient recruitment support system–relevant properties of different electronic record types.

Methods

In a previous study, we gathered requirements for patient recruitment support systems from literature and unstructured interviews with stakeholders (15 patients, 3 physicians, 5 data privacy experts, 4 researchers, and 5 staff members of hospital administration). For this investigation, the requirements were amended and categorized based on input from scientific sessions. Based on literature with a focus on patient recruitment support system–relevant properties, different electronic record types (electronic medical record, electronic health record, electronic medical case record, personal health record and personal cross-enterprise health record) were described in detail. We also evaluated which patient recruitment support system requirements can be achieved for each electronic record type.

Results

Patient recruitment support system requirements (n=16) were grouped into 4 categories (consent management, patient recruitment management, trial management, and general requirements). All 16 requirements could be partially met by at least 1 type of electronic record. Only 1 requirement was fully met by all 5 types. According to our analysis, personal cross-enterprise health records fulfill most requirements for patient recruitment support systems. They demonstrate advantages especially in 2 domains (1) supporting patient empowerment and (2) granting access to the complete medical history of patients.

Conclusions

In combination with patient recruitment support systems, personal cross-enterprise health records prove superior to other electronic record types, and therefore, this integration approach should be further investigated.

Clinical Trial Data Management Software: A Review of the Technical Features

BACKGROUND

Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.

METHODS

Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.

RESULTS

Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.

CONCLUSION

It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.

A Review of Clinical Data Management Systems Used in Clinical Trials

BACKGROUND

A clinical data management system is a software supporting the data management process in clinical trials. In this system, the effective support of clinical data management dimensions leads to the increased accuracy of results and prevention of diversion in clinical trials. The aim of this review article was to investigate the dimensions of data management in clinical data management systems.

METHODS

This study was conducted in 2017. The used databases included Web of Science, Scopus, Science Direct, ProQuest, Ovid Medline and PubMed. The search was conducted over a period of 10 years from 2007 to 2017. The initial number of studies was 101 reaching 19 in the final stage. The final studies were described and compared in terms of the year, country and dimensions of the clinical data management process in clinical trials.

RESULTS

The research findings indicated that none of the systems completely supported the data management dimensions in clinical trials. Although these systems were developed for supporting the clinical data management process, they were similar to electronic data capture systems in many cases. The most significant dimensions of data management in such systems were data collection or entry, report, validation, and security maintenance.

CONCLUSION

Seemingly, not sufficient attention has been paid to automate all dimensions of the clinical data management process in clinical trials. However, these systems could take positive steps towards changing the manual processes of clinical data management to electronic processes.

Validity of an online 24-h recall tool (myfood24) for dietary assessment in population studies: comparison with biomarkers and standard interviews

BACKGROUND

Online dietary assessment tools can reduce administrative costs and facilitate repeated dietary assessment during follow-up in large-scale studies. However, information on bias due to measurement error of such tools is limited. We developed an online 24-h recall (myfood24) and compared its performance with a traditional interviewer-administered multiple-pass 24-h recall, assessing both against biomarkers.

METHODS

Metabolically stable adults were recruited and completed the new online dietary recall, an interviewer-based multiple pass recall and a suite of reference measures. Longer-term dietary intake was estimated from up to 3 × 24-h recalls taken 2 weeks apart. Estimated intakes of protein, potassium and sodium were compared with urinary biomarker concentrations. Estimated total sugar intake was compared with a predictive biomarker and estimated energy intake compared with energy expenditure measured by accelerometry and calorimetry. Nutrient intakes were also compared to those derived from an interviewer-administered multiple-pass 24-h recall.

RESULTS

Biomarker samples were received from 212 participants on at least one occasion. Both self-reported dietary assessment tools led to attenuation compared to biomarkers. The online tools resulted in attenuation factors of around 0.2-0.3 and partial correlation coefficients, reflecting ranking intakes, of approximately 0.3-0.4. This was broadly similar to the more administratively burdensome interviewer-based tool. Other nutrient estimates derived from myfood24 were around 10-20% lower than those from the interviewer-based tool, with wide limits of agreement. Intraclass correlation coefficients were approximately 0.4-0.5, indicating consistent moderate agreement.

CONCLUSIONS

Our findings show that, whilst results from both measures of self-reported diet are attenuated compared to biomarker measures, the myfood24 online 24-h recall is comparable to the more time-consuming and costly interviewer-based 24-h recall across a range of measures.

Use of online recruitment strategies in a randomized trial of cancer survivors

BACKGROUND/AIMS

Despite widespread Internet adoption, online advertising remains an underutilized tool to recruit participants into clinical trials. Whether online advertising is a cost-effective method to enroll participants compared to other traditional forms of recruitment is not known.

METHODS

Recruitment for the Survivorship Promotion In Reducing IGF-1 Trial, a community-based study of cancer survivors, was conducted from June 2015 through December 2016 via in-person community fairs, advertisements in periodicals, and direct postal mailings. In addition, "Right Column" banner ads were purchased from Facebook to direct participants to the Survivorship Promotion In Reducing IGF-1 Trial website. Response rates, costs of traditional and online advertisements, and demographic data were determined and compared across different online and traditional recruitment strategies. Micro-trials optimizing features of online advertisements were also explored.

RESULTS

Of the 406 respondents to our overall outreach efforts, 6% (24 of 406) were referred from online advertising. Facebook advertisements were shown over 3 million times (impressions) to 124,476 people, which resulted in 4401 clicks on our advertisement. Of these, 24 people ultimately contacted study staff, 6 underwent prescreening, and 4 enrolled in the study. The cost of online advertising per enrollee was $794 when targeting a general population versus $1426 when accounting for strategies that specifically targeted African Americans or men. By contrast, community fairs, direct mail, or periodicals cost $917, $799, or $436 per enrollee, respectively. Utilization of micro-trials to assess online ads identified subtleties (e.g. use of an advertisement title) that substantially impacted viewer interest in our trial.

CONCLUSION

Online advertisements effectively directed a relevant population to our website, which resulted in new enrollees in the Survivorship Promotion In Reducing IGF-1 Trial at a cost comparable to traditional methods. Costs were substantially greater with online recruitment when targeting under-represented populations, however. Additional research using online micro-trial tools is needed to evaluate means of more precise recruitment to improve yields in under-represented groups. Potential gains from faster recruitment speed remain to be determined.

Process evaluation of a preschool physical activity intervention using web-based delivery

BACKGROUND AND PURPOSE

Preschool/childcare settings offer a practical target for physical activity interventions. Online learning programs have the potential for greater public health reach and impact. The SHAPES-Dissemination (SHAPES-D) project adapted the original SHAPES in-person intervention for online delivery to teachers. The purpose of this paper is to describe the implementation monitoring and process evaluation for the SHAPES-D project.

METHODS

Nine preschools with 26 classrooms participated. A total of 41 teachers were trained via online learning to implement the SHAPES-D program in their classrooms. The dose received, completeness, and fidelity of implementation were assessed through website metrics, teacher surveys and interviews, and classroom observations.

RESULTS

Dose received was adequate (73%). Observed completeness and physical activity enjoyment fidelity were high (100%), although moderate-to-vigorous physical activity fidelity and social environment fidelity were low (25% each). Overall implementation was high (91%).

DISCUSSION

Results indicate that the online method of delivery is viable for dissemination. The online delivery system provides an easy method of monitoring dose received. This may be the first structural intervention to monitor dose received through web metrics.

CONCLUSION

The adaptation of an in-person intervention to an online delivery system increases the potential for dissemination of a successful program to increase physical activity in preschool settings.

Using Internet to recruit immigrants with language and culture barriers for tobacco and alcohol use screening: a study among Brazilians

Limited English proficient (LEP) individuals face disparities in accessing substance abuse treatment, but little is known on how to reach this population. This study aimed to test online recruitment methods for tobacco and alcohol screening among LEP Portuguese speakers. The study was advertised in Portuguese using Facebook, Google, online newsletters and E-mail. Participants clicked ads to consent and access a screening for tobacco and alcohol dependence. Ads yielded 690 screening responses in 90 days. Respondents had a mean age of 42.7 (SD 12), with a higher proportion of women than men, 95% born in Brazil with high levels of LEP and low levels of acculturation. Facebook ads yielded 41.4% of responses, and were the lowest cost recruitment channel ($8.9, $31.10 and $20.40 per respondent, hazardous drinker and smoker, respectively). Online recruitment of LEP populations is feasible. Future studies should test similar strategies in other LEP groups.

Concept and implementation of a study dashboard module for a continuous monitoring of trial recruitment and documentation

BACKGROUND

The difficulty of managing patient recruitment and documentation for clinical trials prompts a demand for instruments for closely monitoring these critical but unpredictable processes. Increasingly adopted Electronic Data Capture (EDC) applications provide novel opportunities to reutilize stored information for an efficient management of traceable trial workflows. In related clinical and administrative settings, so-called digital dashboards that continuously visualize time-dependent parameters have recently met a growing acceptance. To investigate the technical feasibility of a study dashboard for monitoring the progress of patient recruitment and trial documentation, we set out to develop a propositional prototype in the form of a separate software module.

METHODS

After narrowing down functional requirements in semi-structured interviews with study coordinators, we analyzed available interfaces of a locally deployed EDC application, and designed the prototypical study dashboard based on previous findings. The module thereby leveraged a standardized export format in order to extract and import relevant trial data into a clinical data warehouse. Web-based reporting tools then facilitated the definition of diverse views, including diagrams of the progress of patient accrual and form completion at different granularity levels. To estimate the utility of the dashboard and its compatibility with current workflows, we interviewed study coordinators after a demonstration of sample outputs from ongoing trials.

RESULTS

The employed tools promoted a rapid development. Displays of the implemented dashboard are organized around an entry page that integrates key metrics for available studies, and which links to more detailed information such as study-specific enrollment per center. The interviewed experts commented that the included graphical summaries appeared suitable for detecting that something was generally amiss, although practical remedies would mostly depend on additional information such as access to the original patient-specific data. The dependency on a separate application was seen as a downside. Interestingly, the prospective users warned that in some situations knowledge of specific accrual statistics might undermine blinding in a subtle yet intricate fashion, so ignorance of certain patient features was seen as sometimes preferable for reproducibility.

DISCUSSION

Our proposed study dashboard graphically recaps key progress indicators of patient accrual and trial documentation. The modular implementation illustrates the technical feasibility of the approach. The use of a study dashboard might introduce certain technical requirements as well as subtle interpretative complexities, which may have to be weighed against potential efficiency gains.

Conducting a fully mobile and randomised clinical trial for depression: access, engagement and expense

Importance

Advances in mobile technology have resulted in federal and industry-level initiatives to facilitate large-scale clinical research using smart devices. Although the benefits of technology to expand data collection are obvious, assumptions about the reach of mobile research methods (access), participant willingness to engage in mobile research protocols (engagement), and the cost of this research (cost) remain untested.

Objective

To assess the feasibility of a fully mobile randomised controlled trial using assessments and treatments delivered entirely through mobile devices to depressed individuals.

Design

Using a web-based research portal, adult participants with depression who also owned a smart device were screened, consented and randomised to 1 of 3 mental health apps for treatment. Assessments of self-reported mood and cognitive function were conducted at baseline, 4, 8 and 12 weeks. Physical and social activity was monitored daily using passively collected phone use data. All treatment and assessment tools were housed on each participant's smart phone or tablet.

Interventions

A cognitive training application, an application based on problem-solving therapy, and a mobile-sensing application promoting daily activities.

Results

Access: We screened 2923 people and enrolled 1098 participants in 5 months. The sample characteristics were comparable to the 2013 US census data. Recruitment via Craigslist.org yielded the largest sample. Engagement: Study engagement was high during the first 2 weeks of treatment, falling to 44% adherence by the 4th week. Cost: The total amount spent on for this project, including staff costs and β testing, was $314 264 over 2 years.

Conclusions and relevance

These findings suggest that mobile randomised control trials can recruit large numbers of participants in a short period of time and with minimal cost, but study engagement remains challenging.

Trial registration number

NCT00540865.

Effectiveness of a web-based protocol for the screening and phenotyping of individuals with Tourette syndrome for genetic studies

Genome-wide association studies (GWAS) and other emerging technologies offer great promise for the identification of genetic risk factors for complex psychiatric disorders, yet such studies are constrained by the need for large sample sizes. Web-based collection offers a relatively untapped resource for increasing participant recruitment. Therefore, we developed and implemented a novel web-based screening and phenotyping protocol for genetic studies of Tourette syndrome (TS), a childhood-onset neuropsychiatric disorder characterized by motor and vocal tics. Participants were recruited over a 13-month period through the membership of the Tourette Syndrome Association (TSA; n = 28,878). Of the TSA members contacted, 4.3% (1,242) initiated the questionnaire, and 79.5% (987) of these were enrollment eligible. 63.9% (631) of enrolled participants completed the study by submitting phenotypic data and blood specimens. Age was the only variable that predicted study completion; children and young adults were significantly less likely to be study completers than adults 26 and older. Compared to a clinic-based study conducted over the same time period, the web-based method yielded a 60% larger sample. Web-based participants were older and more often female; otherwise, the sample characteristics did not differ significantly. TS diagnoses based on the web-screen demonstrated 100% accuracy compared to those derived from in-depth clinical interviews. Our results suggest that a web-based approach is effective for increasing the sample size for genetic studies of a relatively rare disorder and that our web-based screen is valid for diagnosing TS. Findings from this study should aid in the development of web-based protocols for other disorders.

Baseline reach and adoption characteristics in a randomized controlled trial of two weight loss interventions translated into primary care: a structured report of real-world applicability

BACKGROUND

Although the Diabetes Prevention Program (DPP) lifestyle intervention reduced type 2 diabetes incidence by 58% among high-risk adults at academic centers, it requires translation into typical primary care settings. Using baseline data from the Evaluation of Lifestyle Interventions to Treat Elevated Cardiometabolic Risk in Primary Care (E-LITE) randomized controlled trial, we evaluated the potential of its two DPP-based interventions to reach their target populations and be adopted into routine use.

METHODS

Overweight/obese adults with increased cardiometabolic risk enrolled from one primary care clinic. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) model, we assessed reach with data on patient identification, participation, and representativeness, and adoption with data on intervention feasibility and potential for organizational diffusion.

RESULTS

The target population was identified by searching electronic health records. Contact was attempted for 2391 patients who completed initial screening by phone (56% uptake) or online (44%). Most (88%) of those screened ineligible were not within the target population; 12% were excluded because of research requirements. Conservatively estimated participation rate was 44%. Participants (n=241) included 54% men and had a mean (SD) age of 52.9 years (10.6) and body mass index of 32 kg/m(2) (5.4). Regarding adoption, all clinic physicians agreed to participate. The feasibility of intervention implementation and dissemination was enhanced by leveraging existing intervention, training, and primary care resources.

CONCLUSIONS

E-LITE's lifestyle interventions had fair-to-good potential for primary care reach and adoption. Our trial evidence and structured reporting may inform real-world implementation of translational trials by health networks, physicians, and payers.

Urinary α-carboxyethyl hydroxychroman can be used as a predictor of α-tocopherol adequacy, as demonstrated in the Energetics Study

BACKGROUND

Other than the in vitro erythrocyte hemolysis test, no valid biomarkers of vitamin E status currently exist.

OBJECTIVE

We hypothesized that the urinary vitamin E metabolite α-carboxyethyl hydroxychroman (α-CEHC) could serve as a biomarker.

DESIGN

The relations between urinary α-CEHC, plasma α-tocopherol, and vitamin E intakes were assessed by using a previously validated multipass, Web-based, 24-h self-administered dietary recall, and we concurrently collected plasma and 24-h urine samples from 233 participants of both sexes.

RESULTS

Median vitamin E intakes were 9.7 mg α-tocopherol/d. Intakes were correlated with plasma α-tocopherol (R = 0.40, P < 0.001) and urinary α-CEHC (R = 0.42, P < 0.001); these correlations were essentially unchanged after multivariate adjustments. On the basis of multiple regression analysis, urinary α-CEHC excretion increased by ~0.086 μmol/g creatinine (95% CI: 0.047, 0.125) for every 1-mg (2.3-μmol) increase in dietary α-tocopherol. Urinary α-CEHC excretion remained at a plateau (median: 1.39 μmol/g creatinine) until dietary intakes of α-tocopherol exceeded 9 mg α-tocopherol/d. The inflection point at which vitamin E metabolism increased was estimated to be at an intake of 12.8 mg α-tocopherol/d. Daily excretion of >1.39 μmol α-CEHC/g creatinine is associated with a greater than adequate α-tocopherol status, as evidenced by increased vitamin E metabolism and excretion.

CONCLUSION

Thus, urinary α-CEHC is a valid biomarker of α-tocopherol status that can be used to set a value for the Estimated Adequate Requirement of vitamin E.

Comparison of characteristics and outcomes by initial study contact (website versus staff) for participants enrolled in a weight management study

BACKGROUND

Traditional recruitment methods for clinical trials, such as telephone, mail, and print media, are often inefficient, costly, and use large amounts of staff time and resources.

PURPOSE

This analysis was conducted to determine whether retention, demographics, and outcomes differed between enrolled participants who responded to recruitment outreach using an Internet-based information and registration system and enrollees whose first contact was with study staff via telephone.

METHODS

We identified potentially eligible participants from Kaiser Permanente Northwest (KPNW) databases and mailed brochures inviting them to participate in the Life weight loss maintenance study. We also used employee newsletters, a member-directed website, and messages to employee email distribution lists to publicize the study. All outreach methods contained both a website address and a telephone number through which respondents could register for an information session. The website contained the same information as was provided by staff over the telephone.

RESULTS

Out of 2122 potential participants who expressed interest in the study, 70% did so through the website. There was no difference in retention rates between enrollees who initiated contact through the website (WEB = 308) and enrollees who contacted the study by telephone (staff = 161). The WEB group was younger (p = 0.01), had higher income (p = 0.01) and education (p < 0.01) levels, and lower body mass index (BMI; p < 0.01). There was a trend toward greater weight loss in the WEB group (p = 0.06).

LIMITATIONS

We did not conduct a formal cost analysis of the two methods. Also, the population for this analysis was mostly Caucasian and middle income; thus, we cannot draw conclusions about the generalizability of our findings to more racially and economically diverse populations.

CONCLUSION

Enrolled participants who used a website to register for an initial study information session had similar study retention and outcome performance as enrollees who used a more traditional telephone method. For larger clinical trials, a website may help researchers more efficiently and cost-effectively achieve recruitment, eligibility, and randomization goals. More research is needed to determine whether similar recruitment and retention patterns are observed among racially and economically diverse populations when these and similar methods are compared.

Validity of a multipass, web-based, 24-hour self-administered recall for assessment of total energy intake in blacks and whites

To date, Web-based 24-hour recalls have not been validated using objective biomarkers. From 2006 to 2009, the validity of 6 Web-based DietDay 24-hour recalls was tested among 115 black and 118 white healthy adults from Los Angeles, California, by using the doubly labeled water method, and the results were compared with the results of the Diet History Questionnaire, a food frequency questionnaire developed by the National Cancer Institute. The authors performed repeated measurements in a subset of 53 subjects approximately 6 months later to estimate the stability of the doubly labeled water measurement. The attenuation factors for the DietDay recall were 0.30 for blacks and 0.26 for whites. For the Diet History Questionnaire, the attenuation factors were 0.15 and 0.17 for blacks and whites, respectively. Adjusted correlations between true energy intake and the recalls were 0.50 and 0.47 for blacks and whites, respectively, for the DietDay recall. For the Diet History Questionnaire, they were 0.34 and 0.36 for blacks and whites, respectively. The rate of underreporting of more than 30% of calories was lower with the recalls than with the questionnaire (25% and 41% vs. 34% and 52% for blacks and whites, respectively). These findings suggest that Web-based DietDay dietary recalls offer an inexpensive and widely accessible dietary assessment alternative, the validity of which is equally strong among black and white adults. The validity of the Web-administered recall was superior to that of the paper food frequency questionnaire.

Implementing a low-cost web-based clinical trial management system for community studies: a case study

BACKGROUND

Clinical trials with multiple intervention locations and a single research coordinating center can be logistically difficult to implement. Increasingly, web-based systems are used to provide clinical trial support with many commercial, open source, and proprietary systems in use. New web-based tools are available which can be customized without programming expertise to deliver web-based clinical trial management and data collection functions.

PURPOSE

To demonstrate the feasibility of utilizing low-cost configurable applications to create a customized web-based data collection and study management system for a five intervention site randomized clinical trial establishing the efficacy of providing evidence-based treatment via teleconferencing to children with attention-deficit hyperactivity disorder. The sites are small communities that would not usually be included in traditional randomized trials. A major goal was to develop database that participants could access from computers in their home communities for direct data entry.

METHODS

Discussed is the selection process leading to the identification and utilization of a cost-effective and user-friendly set of tools capable of customization for data collection and study management tasks.

RESULTS

An online assessment collection application, template-based web portal creation application, and web-accessible Access 2007 database were selected and customized to provide the following features: schedule appointments, administer and monitor online secure assessments, issue subject incentives, and securely transmit electronic documents between sites. Each tool was configured by users with limited programming expertise. As of June 2011, the system has successfully been used with 125 participants in 5 communities, who have completed 536 sets of assessment questionnaires, 8 community therapists, and 11 research staff at the research coordinating center.

LIMITATIONS

Total automation of processes is not possible with the current set of tools as each is loosely affiliated, creating some inefficiency. This system is best suited to investigations with a single data source e.g., psychosocial questionnaires.

CONCLUSIONS

New web-based applications can be used by investigators with limited programming experience to implement user-friendly, efficient, and cost-effective tools for multi-site clinical trials with small distant communities. Such systems allow the inclusion in research of populations that are not usually involved in clinical trials.

Racial differences in correlations between reported dietary intakes of carotenoids and their concentration biomarkers

BACKGROUND

The predictive ability of dietary assessment methods to estimate specific circulating plasma carotenoid concentrations has been compared between African Americans and whites in only one study to date.

OBJECTIVE

The predictive abilities of 24-h dietary recalls and a food-frequency questionnaire in reporting dietary carotenoids when measured against concentration biomarkers were assessed in African Americans and compared with the findings in whites.

DESIGN

Data were collected from 250 generally healthy, nonsmoking white and African American participants aged 21-69 y, who completed 8 self-administered online 24-h dietary recalls and one National Cancer Institute diet-history questionnaire in the University of California Los Angeles (UCLA) Energetics Study. Mean intakes from 4-d dietary recalls were correlated with plasma xanthophyll concentrations (lutein + zeaxanthin and β-cryptoxanthin) and hydrocarbon carotenoids (lycopene, α-carotene, and β-carotene).

RESULTS

Adjusted correlations of plasma carotenoids with reported dietary intakes for African Americans in the 24-h dietary recall ranged from 0.03 for β-carotene to 0.40 for β-cryptoxanthin. For whites, the correlations ranged from 0.13 for lycopene to 0.51 for β-cryptoxanthin.

CONCLUSIONS

Despite stronger validity in reported energy intakes for African Americans than for whites in the 24-h dietary recall in the Energetics Study, both recalls and food-frequency dietary assessment methods yielded lower correlations in African Americans than in whites. This finding might be attributable to reporting differences in both dietary sources and food preparation or to racially related genetic variants influencing circulating concentrations. The current findings support the need to account for differences in race, age, sex, and body mass index in regression calibrations of dietary reports and measurement error adjustments.