Linkage of clinical trial and administrative data: a survey of cancer patient preferences

The REthinking Clinical Trials Program Retreat 2023: Creating Partnerships to Optimize Quality Cancer Care

Patients, families, healthcare providers and funders face multiple comparable treatment options without knowing which provides the best quality of care. As a step towards improving this, the REthinking Clinical Trials (REaCT) pragmatic trials program started in 2014 to break down many of the traditional barriers to performing clinical trials. However, until other innovative methodologies become widely used, the impact of this program will remain limited. These innovations include the incorporation of near equivalence analyses and the incorporation of artificial intelligence (AI) into clinical trial design. Near equivalence analyses allow for the comparison of different treatments (drug and non-drug) using quality of life, toxicity, cost-effectiveness, and pharmacokinetic/pharmacodynamic data. AI offers unique opportunities to maximize the information gleaned from clinical trials, reduces sample size estimates, and can potentially "rescue" poorly accruing trials. On 2 May 2023, the first REaCT international symposium took place to connect clinicians and scientists, set goals and identify future avenues for investigator-led clinical trials. Here, we summarize the topics presented at this meeting to promote sharing and support other similarly motivated groups to learn and share their experiences.

Augmenting clinical trial economic analysis by linking cancer trial data to administrative data: current landscape and future opportunities

BACKGROUND

Economic analyses based on clinical trial data are costly and time consuming, and alternative methods for performing economic analyses should be explored.

OBJECTIVE AND METHODS

In this perspective, we examine the emerging role of administrative data for economic analyses in cancer.

RESULTS

Compared with routinely collected clinical trial data, routinely collected administrative data have several strengths including high capture rates for healthcare encounters, less resource utilisation, low rates of misclassification, long follow-up periods and the opportunity to collect data points not traditionally captured in clinical trials. However, there are also limitations including the need for accurate data linkage across multiple databases and systems, the costs and time associated with data linkage, the potential time lag between trial data collection and the availability of administrative data, and limited data on quality of life, toxicity and indirect costs. In this perspective, we identify important barriers and potential solutions to performing economic analyses for oncology using administrative data, and outline strategies to increase research in this field.

CONCLUSION

The use of routinely collected administrative data sets for economic analyses of clinical trials presents a unique opportunity that could complement and validate economic analyses based on trial-level data.

Improving the efficiency of clinical trials in multiple sclerosis

BACKGROUND

Phase 3 clinical trials for disease-modifying therapies in relapsing-remitting multiple sclerosis (RRMS) have utilized a limited number of conventional designs with a high degree of success. However, these designs limit the types of questions that can be addressed, and the time and cost required. Moreover, trials involving people with progressive multiple sclerosis (MS) have been less successful.

OBJECTIVE

The objective of this paper is to discuss complex innovative trial designs, intermediate and composite outcomes and to improve the efficiency of trial design in MS and broaden questions that can be addressed, particularly as applied to progressive MS.

METHODS

We held an international workshop with experts in clinical trial design.

RESULTS

Recommendations include increasing the use of complex innovative designs, developing biomarkers to enrich progressive MS trial populations, prioritize intermediate outcomes for further development that target therapeutic mechanisms of action other than peripherally mediated inflammation, investigate acceptability to people with MS of data linkage for studying long-term outcomes of clinical trials, use Bayesian designs to potentially reduce sample sizes required for pediatric trials, and provide sustained funding for platform trials and registries that can support pragmatic trials.

CONCLUSION

Novel trial designs and further development of intermediate outcomes may improve clinical trial efficiency in MS and address novel therapeutic questions.

Can routinely collected administrative data effectively be used to evaluate and validate endpoints used in breast cancer clinical trials? Protocol for a scoping review of the literature

BACKGROUND

Randomized controlled trials (RCTs) are a critical component of evidence-based medicine and the evolution of patient care. However, the costs of conducting a RCT can be prohibitive. A promising approach toward reduction of costs and lessening of the burden of intensive and lengthy patient follow-up is the use of routinely collected healthcare data (RCHD), commonly called real-world data. We propose a scoping review to identify existing RCHD case definitions of breast cancer progression and survival and their diagnostic performance.

METHODS

We will search MEDLINE, EMBASE, and CINAHL to identify primary studies of women with either early-stage or metastatic breast cancer, managed with established therapies, that evaluated the diagnostic accuracy of one or more RCHD-based case definitions or algorithms of disease progression (i.e., recurrence, progression-free survival, disease-free survival, or invasive disease-free survival) or survival (i.e., breast-cancer-free survival or overall survival) compared with a reference standard measure (e.g., chart review or a clinical trial dataset). Study characteristics and descriptions of algorithms will be extracted along with measures of the diagnostic accuracy of each algorithm (e.g., sensitivity, specificity, positive predictive value, negative predictive value), which will be summarized both descriptively and in structured figures/tables.

DISCUSSION

Findings from this scoping review will be clinically meaningful for breast cancer researchers globally. Identification of feasible and accurate strategies to measure patient-important outcomes will potentially reduce RCT budgets as well as lessen the burden of intensive trial follow-up on patients.

SYSTEMATIC REVIEW REGISTRATION

Open Science Framework ( https://doi.org/10.17605/OSF.IO/6D9RS ).

Opportunities and barriers for the use of Australian cancer registries as platforms for randomized clinical trials

It is well recognized that randomized controlled trials (RCTs) are a powerful tool to investigate causal relationships, and are considered the gold standard level of research evidence. However, RCTs can be expensive and time-consuming, and when they employ strict eligibility criteria, it results in an unrepresentative population and limited external validity. Recently, the registry-based randomized clinical trial (RRCT) has emerged as an alternative trial design. Utilizing registries to underpin such studies, RRCTs can have advantages including rapid recruitment, and enhanced generalizability. In Australia, legislated mandatory reporting of cancer diagnoses means that jurisdictional cancer registries are a rich source of systematically collected patient details, representing sound platforms for comprehensive data capture that can serve as a key tool for further research. We review the roles of cancer registries in Australia, discuss important considerations relevant to the design of RRCTs, and outline the opportunities provided by cancer registries to strengthen cancer research.

Chronic pain patients' willingness to share personal identifiers on the web for the linkage of medico-administrative claims and patient-reported data: The chronic pain treatment cohort

PURPOSE

The linkage between patient-reported data and medico-administrative claims is of great interest for epidemiologic research. The goal of this study was to assess the willingness of people living with chronic pain to share personal identifiers on the web for the linkage of medico-administrative and patient-reported data.

METHODS

This methodological investigation was achieved in the context of the implementation of the chronic pain treatment (COPE) cohort. A web-based recruitment initiative targeting adults living with chronic pain was conducted in the province of Quebec (Canada).

RESULTS

A total of 1935 participants completed the questionnaire (mean age: 49.86 ± 13.27; females: 83.69%), 921 (47.60%) of which agreed to data linkage and shared their personal identifiers (name, date of birth, health insurance number online). The most common reasons for refusal were: (1) concerns regarding data security/privacy (25.71%) and (2) the belief that the requested data were too personal/intrusive (13.52%). Some participants did not understand the relevance of data linkage (11.81%). Participants from the COPE cohort and those from the subsample who agreed to data linkage were comparable to other random samples of chronic pain individuals in terms of age and pain characteristics.

CONCLUSIONS

Although approximately half of the participants refused data linkage, our approach allowed for the implementation of a data platform that contains a diverse and substantial sample. This investigation has also led to the formulation of recommendations for web-based data linkage, including placing items designed to assess willingness to share personal identifiers at the end of the questionnaire, adding explanatory videos, and using a mixed-mode questionnaire.

Opportunities for the use of routinely collected data for the generation of large randomized evidence in Colombia

Randomized clinical trials are the cornerstone design for the evaluation of the safety and efficacy of health interventions. Furthermore, morbidity and mortality rates could be reduced if evidence of better interventions is sought and used to inform medical practice. However, only small to moderate, yet worthwhile, effects can be expected from such interventions. Therefore, moderate random error and moderate biases must be avoided during the design, conduct and analysis of trials. Routinely collected data, such as vital statistics, hospital episode statistics and surveillance data, could be used to enhance recruitment and follow-up a large number of patients, reducing both random error and moderate biases. Here, we discuss the opportunities and challenges for the use of these data for clinical studies in Colombia.

A systematic literature review of attitudes towards secondary use and sharing of health administrative and clinical trial data: a focus on consent

BACKGROUND

We aimed to synthesise data on issues related to stakeholder perceptions of consent for the use of secondary data. To better understand the current literature available, we conducted a systematic literature review of healthcare consumer attitudes towards the secondary use and sharing of health administrative and clinical trial data.

METHODS

EMBASE/MEDLINE, Cochrane Library, PubMed, CINAHL, Informit Health Collection, PROSPERO Database of Systematic Reviews, PsycINFO and ProQuest databases were searched. Eligible articles included those reporting qualitative or quantitative original research and published in English. No restrictions were placed on publication dates, study design or disease setting. One author screened articles for eligibility and two authors were involved in the full-text review process. Conflicts were resolved by consensus. Quality and bias were assessed using the QualSyst criteria for qualitative studies.

RESULTS

This paper focuses on a subset of 47 articles identified from the wider search and focuses on the issue of consent. Issues related to privacy, trust and transparency, and attitudes of healthcare professionals and researchers to secondary use and sharing of data have been dealt with in previous publications. Studies included a total of 216,149 respondents. Results indicate that respondents are generally supportive of using health data for research, particularly if the data is de-identified or anonymised. The requirement by participants to obtain consent prior to the use of health data for research was not universal, nor is the requirement for this always supported by legislation. Many respondents believed that either no consent or being informed of the research, but not providing additional consent, were sufficient.

CONCLUSIONS

These results indicate that individuals should be provided with information and choice about how their health data is used and, where feasible, a mechanism to opt-out should be provided. To increase the acceptability of using health data for research, health organisations and data custodians must provide individuals with concise information about data protection mechanisms and under what circumstances their data may be used and by whom.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018110559 (update June 2020).

A Canadian Prospective Study of Linkage of Randomized Clinical Trial to Cancer and Mortality Registry Data

In a prospective study, we sought to determine acceptability of linkage of administrative and clinical trial data among Canadian patients and Research Ethics Boards (REBs). The goal is to develop a more harmonized approach to data, with potential to improve clinical trial conduct through enhanced data quality collected at reduced cost and inconvenience for patients. On completion of the original LY.12 randomized clinical trial in lymphoma (NCT00078949), participants were invited to enrol in the Long-term Innovative Follow-up Extension (LIFE) component. Those consenting to do so provided comprehensive identifying information to facilitate linkage with their administrative data. We prospectively designed a global assessment of this innovative approach to clinical trial follow-up including rates of REB approval and patient consent. The pre-specified benchmark for patient acceptability was 80%. Of 16 REBs who reviewed the research protocol, 14 (89%) provided approval; two in Quebec declined due to small patient numbers. Of 140 patients invited to participate, 115 (82%, 95% CI 76 to 88%) from across 9 Canadian provinces provided consent and their full name, date of birth, health insurance number and postal code to facilitate linkage with their administrative data for long-term follow-up. Linkage of clinical trial and administrative data is feasible and acceptable. Further collaborative work including many stakeholders is required to develop an optimized secure approach to research. A more coordinated national approach to health data could facilitate more rapid testing and identification of new effective treatments across multiple jurisdictions and diseases from diabetes to COVID-19.

Single-arm Trials With External Comparators and Confounder Misclassification: How Adjustment Can Fail

BACKGROUND

"Single-arm trials" with external comparators that contrast outcomes in those on experimental therapy to real-world patients have been used to evaluate efficacy and safety of experimental drugs in rare and severe diseases. Regulatory agencies are considering expanding the role these studies can play; guidance thus far has explicitly considered outcome misclassification with little discussion of misclassification of confounding variables.

OBJECTIVES

This work uses causal diagrams to illustrate how adjustment for a misclassified confounder can result in estimates farther from the truth than ignoring it completely. This theory is augmented with quantitative examples using plausible values for misclassification of smoking in real-world pharmaceutical claims data. A tool is also provided for calculating bias of adjusted estimates with specific input parameters.

RESULTS

When confounder misclassification is similar in both data sources, adjustment generally brings estimates closer to the truth. When it is not, adjustment can generate estimates that are considerably farther from the truth than the crude. While all nonrandomized studies are subject to this potential bias, single-arm studies are particularly vulnerable due to perfect alignment of confounder measurement and treatment group. This is most problematic when the prevalence of the confounder does not differ between data sources and misclassification does, but can occur even with strong confounder-data source associations.

DISCUSSION

Researchers should consider differential confounder misclassification when designing protocols for these types of studies. Subsample validation of confounders, followed by imputation or other bias correction methods, may be a key tool for combining trial and real-world data going forward.

A systematic literature review of health consumer attitudes towards secondary use and sharing of health administrative and clinical trial data: a focus on privacy, trust, and transparency

We aimed to synthesise data on issues related to stakeholder perceptions of privacy, trust, and transparency in use of secondary data. A systematic literature review of healthcare consumer attitudes towards the secondary use and sharing of health administrative and clinical trial data was conducted. EMBASE/MEDLINE, Cochrane Library, PubMed, CINAHL, Informit Health Collection, PROSPERO Database of Systematic Reviews, PsycINFO, and ProQuest databases were searched. Eligible articles included those reporting qualitative or quantitative original research and published in English. No restrictions were placed on publication dates, study design or disease setting. One author screened articles for eligibility, and two authors were involved in the full text review process. Data was extracted using a pre-piloted data extraction template by one author and checked by another. Conflicts were resolved by consensus. Quality and bias were assessed using the QualSyst criteria for qualitative and quantitative studies. This paper focuses on a subset of 35 articles identified from the wider search which focus on issues of privacy, trust, and transparency. Studies included a total of 56,365 respondents. Results of this systematic literature review indicate that while respondents identified advantages in sharing health data, concerns relating to trust, transparency, and privacy remain. Organisations collecting health data and those who seek to share data or undertake secondary data analysis should continue to develop trust, transparency, and privacy with healthcare consumers through open dialogue and education. Consideration should be given to these issues at all stages of data collection including the conception, design, and implementation phases. While individuals understand the benefits of health data sharing for research purposes, ensuring a balance between public benefit and individual privacy is essential. Researchers and those undertaking secondary data analysis need to be cognisant of these key issues at all stages of their research. Systematic review registration: PROSPERO registration number CRD42018110559 (update June 2020).

How effective are population health surveys for estimating prevalence of chronic conditions compared to anonymised clinical data?

INTRODUCTION

Population health surveys are used to record person-reported outcome measures for chronic health conditions and provide a useful source of data when evaluating potential disease burdens. The reliability of survey-based prevalence estimates for chronic diseases is unclear nonetheless. This study applied methodological triangulation via a data linkage method to validate prevalence of selected chronic conditions (angina, myocardial infarction, heart failure, and asthma).

METHODS

Linked healthcare records were used for a combined cohort of 11,323 adults from the 2013 and 2014 sweeps of the Welsh Health Survey (WHS). The approach utilised consented survey data linked to primary and secondary care electronic health record (EHR) data back to 2002 within the Secure Anonymised Information Linkage (SAIL) Databank.

RESULTS

This descriptive study demonstrates validation of survey and clinical data using data linkage for selected chronic cardiovascular conditions and asthma with varied success. The results indicate that identifying cases for separate cardiovascular conditions was limited without specific medication codes for each condition, but more straightforward for asthma, where there was an extensive list of medications available. For asthma there was better agreement between prevalence estimates based on survey and clinical data as a result.

CONCLUSION

Whilst the results provide external validity for the WHS as an instrument for estimating the burden of chronic disease, they also indicate that a data linkage appproach can be used to produce comparable prevalence estimates using clinical data if a defined condition-specific set of clinical codes are available.

Cancer Patient Perspectives on Sharing of Medical Records and Mobile Device Data for Research Purposes

Sharing data is critical to advancing science, improving health, and creating advances in the delivery of health care services. The value of sharing data for cancer research purposes is well established, and there are multiple initiatives under way that address this need. However, there has been less focus on cancer patient perspectives regarding the sharing of their health information for research purposes. This study examined cancer patient perspectives on the sharing of de-identified health data for research purposes including both data from medical records and mobile applications. This cross-sectional study used survey methodology to collect data from cancer patients/survivors (N = 677). Overall, we found that participants were largely willing (71%) to share de-identified medical data and were most motivated (88%) by a desire to help other cancer patients. Patients were less likely to be comfortable sharing mobile application data (34%). It is vital that we understand patient perspectives on data sharing and work with them as partners, valuing their unique contributions, and attending to their preferences.

Can Administrative Data Improve the Performance of Cancer Clinical Trial Economic Analyses?

PURPOSE

Trial economic analyses, such as cost-effectiveness analysis, often rely on trial-collected data, which are burdensome and expensive to collect and may be incomplete. In contrast, administrative databases systematically collect health system encounters. We investigated whether administrative data could improve the performance of cancer trial economic analysis.

METHODS

Health administrative data were probabilistically linked to Ontario patient data from the Canadian Cancer Trials Group CO.17 trial (n = 572), which evaluated cetuximab plus best supportive care (75 linked Ontario patients) versus best supportive care alone (73 patients) in previously treated metastatic colorectal cancer. Trial-collected resource utilization data and vital status were compared with administrative data. Cost effectiveness in 2007 Canadian dollars was determined with bootstrap incremental cost-effectiveness ratio (ICER) CIs.

RESULTS

Up to trial date of last contact, administrative data vital status was concordant in more than 96%. Twenty-nine subsequent deaths occurred. Up to trial last contact, there were 50 net additional hospitalizations in administrative data and 33 net additional emergency department visits. Total costs were $3,023,034 for the cetuximab group and $1,191,118 for the control group up to trial last contact. The ICER was $211,128 per life-year gained (90% CI, $101,396 to $694,950) up to trial last contact and $164,378 (90% CI, -$138,260 to $644,555) up to administrative data last contact. ICER estimates were similar to the analysis using trial-collected data.

CONCLUSION

Administrative data were more complete than trial data for hospital encounters, a key cost driver in economic analysis. There was a longer follow-up. This demonstrates the potential of administrative data to relieve the burden of collecting key data in cancer trials, which represents a considerable effort and expense.

Pilot study of the ability to probabilistically link clinical trial patients to administrative data and determine long-term outcomes

BACKGROUND

Clinical trials are important but extremely costly. Utilization of routinely collected administrative data may simplify and enhance clinical trial data collection.

PURPOSE

The aim of this study was to test the feasibility of use of administrative databases in Ontario, Canada, for long-term clinical trial follow-up, specifically (a) to determine whether limited patient identifiers held by the Canadian Cancer Trials Group can be used to probabilistically link with individuals in the Institute for Clinical Evaluative Sciences databases and if so, (b) the level of concordance between the two data sets.

METHODS

This retrospective study was conducted through collaboration of established health service (Institute for Clinical Evaluative Sciences) and clinical trial (Canadian Cancer Trials Group) research groups in the province of Ontario, Canada, where healthcare is predominantly funded by the government. Adults with pre-treated metastatic colorectal cancer previously enrolled in the Canadian Cancer Trials Group CO.17 and CO.20 randomized phase III trials were included, limited to those in Ontario. The main outcomes were rate of successful probabilistic linkage and concordance of survival data, stated a priori.

RESULTS

Probabilistic linkage was successful in 266/293 (90.8%) participants. In those patients for whom linkage was successful, the Canadian Cancer Trials Group (trial) and the Institute for Clinical Evaluative Sciences (administrative) data sets were concordant with regard to the occurrence of death during the period of clinical trial follow-up in 206/209 (98.6%). Death was recorded in the Institute for Clinical Evaluative Sciences, but not the Canadian Cancer Trials Group, for 57 cases, where the event occurred after the clinical trial cut-off dates. The recorded date of death matched closely between both databases. During the period of clinical trial conduct, administrative databases contained details of hospitalizations and emergency room visits not captured in the clinical trial electronic database.

CONCLUSION

Prospective use of administrative data could enhance clinical trial data collection, both for long-term follow-up and resource utilization for economic analyses and do so less expensively than current primary data collection. Recording a unique identifier (e.g. health insurance number) in trial databases would allow deterministic linkage for all participants.

Understanding the patient perspective on research access to national health records databases for conduct of randomized registry trials

BACKGROUND

Use of health administrative databases is proposed for screening and monitoring of participants in randomized registry trials. However, access to these databases raises privacy concerns. We assessed patient's preferences regarding use of personal information to link their research records with national health databases, as part of a hypothetical randomized registry trial.

METHODS AND RESULTS

Cardiology patients were invited to complete an anonymous self-reported survey that ascertained preferences related to the concept of accessing government health databases for research, the type of personal identifiers to be shared and the type of follow-up preferred as participants in a hypothetical trial. A total of 590 responders completed the survey (90% response rate), the majority of which were Caucasians (90.4%), male (70.0%) with a median age of 65years (interquartile range, 8). The majority responders (80.3%) would grant researchers access to health administrative databases for screening and follow-up. To this end, responders endorsed the recording of their personal identifiers by researchers for future record linkage, including their name (90%), and health insurance number (83.9%), but fewer responders agreed with the recording of their social security number (61.4%, p<0.05 with date of birth as reference). Prior participation in a trial predicted agreement for granting researchers access to the administrative databases (OR: 1.69, 95% confidence interval: 1.03-2.90; p=0.04).

CONCLUSION

The majority of Cardiology patients surveyed were supportive of use of their personal identifiers to access administrative health databases and conduct long-term monitoring in the context of a randomized registry trial.