The future of clinical trials-is it virtual?

INTRODUCTION: Participant recruitment to clinical trials is often sub-optimal. Decentralized clinical trials have the potential to address challenges in traditional site-based clinical trial recruitment. SOURCES OF DATA: This review is based on recently published literature and the experience of running a large industry-sponsored interventional trial using both traditional and decentralized methods. AREAS OF AGREEMENT: Efficient delivery of clinical trials is essential to continue to provide therapeutic improvements in a timely and cost-efficient way. Clinical trial designs are constantly evolving to achieve effective trial delivery, manage the complexity of new therapeutic algorithms and conform to cultural developments. AREAS OF CONTROVERSY: Digitally innovative decentralized clinical trials may be a solution to improve recruitment and retention. Although many trials incorporate digital innovations to reduce patient burden, decentralized clinical trials allow remote access to clinical research, potentially enhancing geographical diversity as well as reducing participant burden. GROWING POINTS: Areas for development currently being discussed are developing a 'recruitment platform' that exploits the reach of digital connectivity, automated identification of eligible participants from volunteers, employing technology for remote interaction and exploring the logistic process of delivering the interventions. AREAS TIMELY FOR RELEVANT RESEARCH: The focus of development must ensure that the overall impact will widen participation and reduce inequalities in healthcare.

The connected patient project: moving towards a population-based primary health care research registry.

BACKGROUND: The NHS pledges to give all patients access to clinical research. In England, 32% of General Practices are research active and only 14% of patients engage in research. This project aimed to evaluate consent-for-contact and communication in primary care patients. METHODS: An explanatory mixed methods study of patients and staff within a single general practice. The study included all patients over the age of 18 years, and excluded those on the palliative care register and those unable to give informed consent. The questionnaire asked recipients to indicate their preferred contact method and data-sharing permissions with three organisations: NHS, Universities and Commercial Companies. Survey recipients and staff were invited to take part in a semi-structured interview. Interviews explored project acceptability, feasibility and reasoning behind choices made. Statistical data were triangulated with interview data. RESULTS: The target patient population was 4678, 24% (n = 1148) responded. Seven hundred and three gave permission for at least one of the organisations to contact them. Older people were more likely to respond than young people, (p < 0.001). There was a trend for more women than men to give permissions however, in the 70 years plus age group this was reversed. Short message service was the preferred method of communication (48% n = 330), but those aged 70 years and over, preferred letter (p = 0.001). Interviews suggested patients felt the project was primarily about improving communication and secondly access to research. Patients trusted the NHS and university researchers. Staff interviewees found the project was less onerous than expected. Barriers to wider rollout included workload and the fragmented nature of NHS digital systems. CONCLUSIONS: A registry of patients was established; however, the response rate of 24% needs increasing before wider adoption. Health promotion and chronic disease-based research may recruit better when based in primary health care. Older demographics would be more likely to volunteer for research. NHS and academic researchers are trusted, commercial organisations less so. The move to digitalise communication methods has the potential to marginalise older women. Findings were used to drive forward two novel developments: a consent registry (Research+Me) and a federation-wide participant identification process.

Registered Replication Report: Hart & Albarracín (2011).

Language can be viewed as a complex set of cues that shape people's mental representations of situations. For example, people think of behavior described using imperfective aspect (i.e., what a person was doing) as a dynamic, unfolding sequence of actions, whereas the same behavior described using perfective aspect (i.e., what a person did) is perceived as a completed whole. A recent study found that aspect can also influence how we think about a person's intentions (Hart & Albarracín, 2011). Participants judged actions described in imperfective as being more intentional (d between 0.67 and 0.77) and they imagined these actions in more detail (d = 0.73). The fact that this finding has implications for legal decision making, coupled with the absence of other direct replication attempts, motivated this registered replication report (RRR). Multiple laboratories carried out 12 direct replication studies, including one MTurk study. A meta-analysis of these studies provides a precise estimate of the size of this effect free from publication bias. This RRR did not find that grammatical aspect affects intentionality (d between 0 and -0.24) or imagery (d = -0.08). We discuss possible explanations for the discrepancy between these results and those of the original study.

A Multilab Preregistered Replication of the Ego-Depletion Effect.

Good self-control has been linked to adaptive outcomes such as better health, cohesive personal relationships, success in the workplace and at school, and less susceptibility to crime and addictions. In contrast, self-control failure is linked to maladaptive outcomes. Understanding the mechanisms by which self-control predicts behavior may assist in promoting better regulation and outcomes. A popular approach to understanding self-control is the strength or resource depletion model. Self-control is conceptualized as a limited resource that becomes depleted after a period of exertion resulting in self-control failure. The model has typically been tested using a sequential-task experimental paradigm, in which people completing an initial self-control task have reduced self-control capacity and poorer performance on a subsequent task, a state known as ego depletion Although a meta-analysis of ego-depletion experiments found a medium-sized effect, subsequent meta-analyses have questioned the size and existence of the effect and identified instances of possible bias. The analyses served as a catalyst for the current Registered Replication Report of the ego-depletion effect. Multiple laboratories (k = 23, total N = 2,141) conducted replications of a standardized ego-depletion protocol based on a sequential-task paradigm by Sripada et al. Meta-analysis of the studies revealed that the size of the ego-depletion effect was small with 95% confidence intervals (CIs) that encompassed zero (d = 0.04, 95% CI [-0.07, 0.15]. We discuss implications of the findings for the ego-depletion effect and the resource depletion model of self-control.