The Treatment In Morning versus Evening (TIME) study: analysis of recruitment, follow-up and retention rates post-recruitment

Linkage of Clinical Trial Data to Routinely Collected Data Sources: A Scoping Review

Importance

Patients who participate in clinical trials generate valuable routinely collected data (eg, medical records, electronic health records, claims databases, disease registries, or vital statistics) through their routine interactions with the health care system before, during, and after the trial. When this routinely collected data is linked at the participant level, it can supplement active data collection in the trial and provide deeper insights into the benefits, risks, and costs of treatments.

Objective

To review clinical trials linked to routinely collected data in various countries, identifying the use cases and designs of these linkage studies.

Evidence Review

Research articles that reported the linkage of clinical trials to medical records, electronic health records, claims databases, disease registries, or vital statistics in their title or abstract were searched for in PubMed and MEDLINE. The search covered the period from January 1, 2016, through December 30, 2023. Opinion pieces, study protocols, or studies that involved interventions other than medications, dietary supplements, vaccines, devices, procedures, or diagnostics (eg, behavioral interventions) were excluded. Study eligibility and data extraction were performed independently by 2 reviewers to ensure the accuracy of findings.

Findings

Of the 990 abstracts initially screened, a full text review was conducted for 147 articles. In total, 71 studies were included in the results, including 42 medication, vaccine, and dietary supplement trials (59.2%) and 29 device, procedure, or diagnostic trials (40.8%). Of these 71 studies, 24 (32.4%) were conducted in the US. In 32 studies (45.1%), consent for linkage was obtained prospectively as part of the main trial, while 33 studies (46.5%) received a waiver of authorization from the respective ethical review boards. The most frequent use cases of linkage to were posttrial long-term follow-up (22 studies [31.0%]), capturing primary or secondary outcomes of trials (19 studies [26.8%]), validation of routinely collected data outcomes (17 studies [23.9%]), and measuring health care resource utilization and cost in trials (12 studies [16.9%]).

Conclusions and Relevance

This study found that the linkage of patients' clinical trial data to routinely collected data has been implemented in several trials for various use cases and that most studies obtained consent for linkage prospectively as part of the main trial or received a waiver of authorization from ethical review boards. These findings demonstrate the feasibility and provide an overview of the use cases for linking trials to routinely collected data.

Recruitment in Appalachian, Rural and Older Adult Populations in an Artificial Intelligence World: Study Using Human-Mediated Follow-Up

BACKGROUND

Participant recruitment in rural and hard-to-reach (HTR) populations can present unique challenges. These challenges are further exacerbated by the need for low-cost recruiting, which often leads to use of web-based recruitment methods (eg, email, social media). Despite these challenges, recruitment strategy statistics that support effective enrollment strategies for underserved and HTR populations are underreported. This study highlights how a recruitment strategy that uses email in combination with follow-up, mostly phone calls and email reminders, produced a higher-than-expected enrollment rate that includes a diversity of participants from rural, Appalachian populations in older age brackets and reports recruitment and demographic statistics within a subset of HTR populations.

OBJECTIVE

This study aims to provide evidence that a recruitment strategy that uses a combination of email, telephonic, and follow-up recruitment strategies increases recruitment rates in various HTR populations, specifically in rural, older, and Appalachian populations.

METHODS

We evaluated the overall enrollment rate of 1 recruitment arm of a larger study that aims to understand the relationship between genetics and substance use disorders. We evaluated the enrolled population's characteristics to determine recruitment success of a combined email and follow-up recruitment strategy, and the enrollment rate of HTR populations. These characteristics included (1) enrollment rate before versus after follow-up; (2) zip code and county of enrollee to determine rural or urban and Appalachian status; (3) age to verify recruitment in all eligible age brackets; and (4) sex distribution among age brackets and rural or urban status.

RESULTS

The email and follow-up arm of the study had a 17.4% enrollment rate. Of the enrolled participants, 76.3% (4602/6030) lived in rural counties and 23.7% (1428/6030) lived in urban counties in Pennsylvania. In addition, of patients enrolled, 98.7% (5956/6030) were from Appalachian counties and 1.3% (76/6030) were from non-Appalachian counties. Patients from rural Appalachia made up 76.2% (4603/6030) of the total rural population. Enrolled patients represented all eligible age brackets from ages 20 to 75 years, with the 60-70 years age bracket having the most enrollees. Females made up 72.5% (4371/6030) of the enrolled population and males made up 27.5% (1659/6030) of the population.

CONCLUSIONS

Results indicate that a web-based recruitment method with participant follow-up, such as a phone call and email follow-up, increases enrollment numbers more than web-based methods alone for rural, Appalachian, and older populations. Adding a humanizing component, such as a live person phone call, may be a key element needed to establish trust and encourage patients from underserved and rural areas to enroll in studies via web-based recruitment methods. Supporting statistics on this recruitment strategy should help researchers identify whether this strategy may be useful in future studies and HTR populations.

Clinical trial design for assessing hypertension medications: are critical circadian chronopharmacological principles being taking into account?

INTRODUCTION

Clinical hypertension trials typically rely on homeostatic principles, including single time-of-day office blood pressure (BP) measurements (OBPM), rather than circadian chronopharmacological principles, including ambulatory monitoring (ABPM) done around-the-clock to derive the asleep systolic BP (SBP) mean and sleep-time relative SBP decline - jointly the strongest prognosticators of cardiovascular disease (CVD) risk and true definition of hypertension - to qualify participants and assess outcomes.

AREAS COVERED

Eight chronopharmacological elements are indispensable for design and conduct of hypertension medication trials, mainly those on ingestion-time differences in effects, and also a means of rating quality of investigations. Accordingly, we highlight the findings and shortcomings of: (i) 155 such ingestion-time trials, 83.9% finding at-bedtime/evening treatment more beneficial than conventional upon-awakening/morning treatment; (ii) HOPE and ONTARGET CVD outcomes investigations assessing in the former add-on ramipril at-bedtime and in the latter telmisartan, ramipril, or both in combination in the morning; and (iii) pragmatic TIME CVD outcomes trial.

EXPERT OPINION

Failure to incorporate chronopharmacological principals - including ABPM to derive asleep SBP and SBP dipping to qualify subjects as hypertensive and assess CVD risk - results in deficient study design, dubious findings, and unnecessary medical controversy at the expense of advances in patient care.

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

Critical appraisal of recent translational chronopharmacology and chronotherapeutic reviews, meta-analyses, and pragmatic patient trials discloses significant deficiencies of design and conduct and suspect findings

The conduct of molecular and laboratory animal circadian rhythm research has increased exponentially in the past few decades, such that today investigations are being performed by scientists of many diverse disciplines. Knowledge gained from past works is now being explored for translational applications to clinical medicine, often termed "circadian medicine," through the implementation of patient trials. However, these trials are being led, more often than not, by investigators who have little or no formal training and in-depth expertise in the methods of human circadian rhythm research, causing them to be deficient in design and produce dubious findings that have already led to unnecessary medical controversy at the expense of advances in patient care. Evidence of the very significant shortcomings of today's translational circadian medicine research is exemplified in two recent publications in well-read reputable medical journals concerning the chronotherapy of blood pressure (BP) medications: one a review and meta-analysis by Maqsood et al. published in the journal Hypertension in 2023 that pertains to ingestion-time differences in the extent of BP reduction exerted by hypertensive medications and the other a report by Mackenzie et al. in the journal Lancet in 2022 that details the results of the pragmatic TIME study that assessed ingestion-time differences in cardiovascular disease outcomes. Herein, we appraise the inaccurate trial selection, lack of quality assessment, and the numerous other shortcomings that culminated in suspect findings and faulty conclusions of the former, as well as the deficiencies in design and conduct of the latter using as reference the eight items identified in 2021 by a working committee of the International Society for Chronobiology and American Association for Medical Chronobiology and Chronotherapeutics as being necessary for high-quality research of circadian rhythm-dependencies of the therapeutic effects of BP-lowering medications. The TIME study when rated for its quality according to the extent to which its investigational methods satisfy all of the eight recommended items attains a very low overall score of + 1 out of a possible range of -1 to + 7. Moreover, our review of the methods of the currently ongoing pragmatic BedMed trial discloses major deficiencies of the same sort rending a poor quality score of + 0.5. Although the focus of this article is the appraisal of the quality of contemporary circadian medicine hypertension chronotherapy research, it additionally exposes the inadequacies and dubious quality of the critique of such manuscripts submitted for publication to influential journals, in that some peer reviewers might also be deficient in the knowledge required to properly rate their merit.

Cardiovascular outcomes in adults with hypertension with evening versus morning dosing of usual antihypertensives in the UK (TIME study): a prospective, randomised, open-label, blinded-endpoint clinical trial

BACKGROUND

Studies have suggested that evening dosing with antihypertensive therapy might have better outcomes than morning dosing. The Treatment in Morning versus Evening (TIME) study aimed to investigate whether evening dosing of usual antihypertensive medication improves major cardiovascular outcomes compared with morning dosing in patients with hypertension.

METHODS

The TIME study is a prospective, pragmatic, decentralised, parallel-group study in the UK, that recruited adults (aged ≥18 years) with hypertension and taking at least one antihypertensive medication. Eligible participants were randomly assigned (1:1), without restriction, stratification, or minimisation, to take all of their usual antihypertensive medications in either the morning (0600-1000 h) or in the evening (2000-0000 h). Participants were followed up for the composite primary endpoint of vascular death or hospitalisation for non-fatal myocardial infarction or non-fatal stroke. Endpoints were identified by participant report or record linkage to National Health Service datasets and were adjudicated by a committee masked to treatment allocation. The primary endpoint was assessed as the time to first occurrence of an event in the intention-to-treat population (ie, all participants randomly assigned to a treatment group). Safety was assessed in all participants who submitted at least one follow-up questionnaire. The study is registered with EudraCT (2011-001968-21) and ISRCTN (18157641), and is now complete.

FINDINGS

Between Dec 17, 2011, and June 5, 2018, 24 610 individuals were screened and 21 104 were randomly assigned to evening (n=10 503) or morning (n=10 601) dosing groups. Mean age at study entry was 65·1 years (SD 9·3); 12 136 (57·5%) participants were men; 8968 (42·5%) were women; 19 101 (90·5%) were White; 98 (0·5%) were Black, African, Caribbean, or Black British (ethnicity was not reported by 1637 [7·8%] participants); and 2725 (13·0%) had a previous cardiovascular disease. By the end of study follow-up (March 31, 2021), median follow-up was 5·2 years (IQR 4·9-5·7), and 529 (5·0%) of 10 503 participants assigned to evening treatment and 318 (3·0%) of 10 601 assigned to morning treatment had withdrawn from all follow-up. A primary endpoint event occurred in 362 (3·4%) participants assigned to evening treatment (0·69 events [95% CI 0·62-0·76] per 100 patient-years) and 390 (3·7%) assigned to morning treatment (0·72 events [95% CI 0·65-0·79] per 100 patient-years; unadjusted hazard ratio 0·95 [95% CI 0·83-1·10]; p=0·53). No safety concerns were identified.

INTERPRETATION

Evening dosing of usual antihypertensive medication was not different from morning dosing in terms of major cardiovascular outcomes. Patients can be advised that they can take their regular antihypertensive medications at a convenient time that minimises any undesirable effects.

FUNDING

British Heart Foundation.

Factors influencing participation and long-term commitment to self-monitoring of blood pressure in a large remote clinical trial: The treatment in morning versus evening (TIME) study

This study investigates factors associated with active participation, and long-term commitment, to home blood pressure monitoring (HBPM) in the TIME study, a remote clinical trial assessing the effectiveness of morning vs. evening dosing of antihypertensive medications on cardiovascular outcomes in adults with hypertension. Participants reporting HBPM ownership were invited to submit blood pressure (BP) measurements three-monthly. Factors associated with active participation (submitting at least one set of BP measurements), and longer-term commitment (at least six sets of BP measurements), were analysed using multivariable logistic regression. 11,059 participants agreed to provide BP measurements, of whom 7646 submitted. Active participation was associated with age (adjusted odds ratio (AOR) per decade, 1.29; 95% CI 1.23-1.36), positive family history of hypertension (AOR 1.11; 95% CI 1.01-1.21), number of antihypertensive medications (AOR, 1.10; 95% CI 1.04-1.16), and lower deprivation (AOR per decile, 1.03; 95% CI 1.01-1.05). People with higher body mass index (BMI) and smokers were less likely to participate (AOR, 0.91 (per increase of 5.0 kg/m²) and 0.63 respectively; all p < 0.001). 3,655 participants (47.8%) submitted measurements beyond one year. Non-modifiable risk factors - age (AOR per decade, 1.29; 95% CI 1.21-1.37) and positive family history of hypertension (AOR, 1.15; 95% CI 1.03-1.27) - were positively associated with longer-term commitment. Higher BMI (AOR per 5.0 kg/m², 0.89; 95% CI 0.85-0.93), smoking (AOR 0.60, 95% CI 0.44-0.82) and higher baseline systolic blood pressure (AOR per mmHg, 0.99; 95% CI 0.98-0.99) were negatively associated. This study provides insight into factors that influence HBPM use.

Circadian Rhythm, Clock Genes, and Hypertension: Recent Advances in Hypertension

Accumulating evidence suggests that the molecular circadian clock is crucial in blood pressure (BP) control. Circadian rhythms are controlled by the central clock, which resides in the suprachiasmatic nucleus of the hypothalamus and peripheral clocks throughout the body. Both light and food cues entrain these clocks but whether these cues are important for the circadian rhythm of BP is a growing area of interest. The peripheral clocks in the smooth muscle, perivascular adipose tissue, liver, adrenal gland, and kidney have been recently implicated in the regulation of BP rhythm. Dysregulation of the circadian rhythm of BP is associated with adverse cardiorenal outcomes and increased risk of cardiovascular mortality. In this review, we summarize the most recent advances in peripheral clocks as BP regulators, highlight the adverse outcomes of disrupted circadian BP rhythm in hypertension, and provide insight into potential future work in areas exploring the circadian clock in BP control and chronotherapy. A better understanding of peripheral clock function in regulating the circadian rhythm of BP will help pave the way for targeted therapeutics in the treatment of circadian BP dysregulation and hypertension.

Hypertension management in 2030: a kaleidoscopic view

The last decade has witnessed the healthcare system going paperless with increased use of electronic healthcare records. Artificial intelligence tools including smartphones and smart watches have changed the landscape of day-to-day lives. Digitisation, decentralisation of healthcare and empowerment of allied healthcare providers and patients themselves have made shared clinical decision-making a reality. The year 2020 quickly turned into an unprecedented time in our lives with the entry of COVID-19. Amidst a pandemic, healthcare systems rapidly adapted and transformed, and changes that otherwise would have taken a decade, took a mere few weeks (Webster, Lancet 395:1180-1, 2020). This essay reviews evidence of transformation in the realm of hypertension management, namely diagnosis, lifestyle changes, therapeutics and prevention of hypertension at both individual and population levels, and presents an extrapolation of how this transformation might shape the next decade.

Digital tools for the recruitment and retention of participants in randomised controlled trials: a systematic map

BACKGROUND

Recruiting and retaining participants in randomised controlled trials (RCTs) is challenging. Digital tools, such as social media, data mining, email or text-messaging, could improve recruitment or retention, but an overview of this research area is lacking. We aimed to systematically map the characteristics of digital recruitment and retention tools for RCTs, and the features of the comparative studies that have evaluated the effectiveness of these tools during the past 10 years.

METHODS

We searched Medline, Embase, other databases, the Internet, and relevant web sites in July 2018 to identify comparative studies of digital tools for recruiting and/or retaining participants in health RCTs. Two reviewers independently screened references against protocol-specified eligibility criteria. Included studies were coded by one reviewer with 20% checked by a second reviewer, using pre-defined keywords to describe characteristics of the studies, populations and digital tools evaluated.

RESULTS

We identified 9163 potentially relevant references, of which 104 articles reporting 105 comparative studies were included in the systematic map. The number of published studies on digital tools has doubled in the past decade, but most studies evaluated digital tools for recruitment rather than retention. The key health areas investigated were health promotion, cancers, circulatory system diseases and mental health. Few studies focussed on minority or under-served populations, and most studies were observational. The most frequently-studied digital tools were social media, Internet sites, email and tv/radio for recruitment; and email and text-messaging for retention. One quarter of the studies measured efficiency (cost per recruited or retained participant) but few studies have evaluated people's attitudes towards the use of digital tools.

CONCLUSIONS

This systematic map highlights a number of evidence gaps and may help stakeholders to identify and prioritise further research needs. In particular, there is a need for rigorous research on the efficiency of the digital tools and their impact on RCT participants and investigators, perhaps as studies-within-a-trial (SWAT) research. There is also a need for research into how digital tools may improve participant retention in RCTs which is currently underrepresented relative to recruitment research.

REGISTRATION

Not registered; based on a pre-specified protocol, peer-reviewed by the project's Advisory Board.

A high-volume, low-cost approach to participant screening and enrolment: Experiences from the T4DM diabetes prevention trial

BACKGROUND/AIMS

Participant recruitment to diabetes prevention randomised controlled trials is challenging and expensive. The T4DM study, a multicentre, Australia-based, Phase IIIb randomised controlled trial of testosterone to prevent Type 2 diabetes in men aged 50-74 years, faced the challenge of screening a large number of prospective participants at a small number of sites, with few staff, and a limited budget for screening activities. This article evaluates a high-volume, low-cost, semi-automated approach to screen and enrol T4DM study participants.

METHODS

We developed a sequential multi-step screening process: (1) web-based pre-screening, (2) laboratory screening through a network of third-party pathology centres, and (3) final on-site screening, using online data collection, computer-driven eligibility checking, and automated, email-based communication with prospective participants. Phone- and mail-based data collection and communication options were available to participants at their request. The screening process was administered by the central coordinating centre through a central data management system.

RESULTS

Screening activities required staffing of approximately 1.6 full-time equivalents over 4 years. Of 19,022 participants pre-screened, 13,108 attended a third-party pathology collection centre for laboratory screening, 1217 received final, on-site screening, and 1007 were randomised. In total, 95% of the participants opted for online pre-screening over phone-based pre-screening. Screening costs, including both direct and staffing costs, totalled AUD1,420,909 (AUD75 per subject screened and AUD1411 per randomised participant).

CONCLUSION

A multi-step, semi-automated screening process with web-based pre-screening facilitated low-cost, high-volume participant enrolment to this large, multicentre randomised controlled trial. Centralisation and automation of screening activities resulted in substantial savings compared to previous, similar studies. Our screening approach could be adapted to other randomised controlled trial settings to minimise the cost of screening large numbers of participants.

Chronotherapy for Hypertension

PURPOSE OF REVIEW

Given the emerging knowledge that circadian rhythmicity exists in every cell and all organ systems, there is increasing interest in the possible benefits of chronotherapy for many diseases. There is a well-documented 24-h pattern of blood pressure with a morning surge that may contribute to the observed morning increase in adverse cardiovascular events. Historically, antihypertensive therapy involves morning doses, usually aimed at reducing daytime blood pressure surges, but an absence of nocturnal dipping blood pressure is also associated with increased cardiovascular risk.

RECENT FINDINGS

To more effectively reduce nocturnal blood pressure and still counteract the morning surge in blood pressure, a number of studies have examined moving one or more antihypertensives from morning to bedtime dosing. More recently, such studies of chronotherapy have studied comorbid populations including obstructive sleep apnea, chronic kidney disease, or diabetes. Here, we summarize major findings from recent research in this area (2013-2017). In general, nighttime administration of antihypertensives improved overall 24-h blood pressure profiles regardless of disease comorbidity. However, inconsistencies between studies suggest a need for more prospective randomized controlled trials with sufficient statistical power. In addition, experimental studies to ascertain mechanisms by which chronotherapy is beneficial could aid drug design and guidelines for timed administration.