Research Costs Investigated: A Study Into the Budgets of Dutch Publicly Funded Drug-Related Research

Investigator-initiated Randomized Controlled Trials in Infectious Diseases: Better Value for Money for Registration Trials of New Antimicrobials

Randomized controlled trials (RCTs) conducted by the industry are expensive, especially trials conducted for registration of new drugs for multidrug-resistant (MDR) bacteria. Lower-cost investigator-initiated trials have recently been successful in recruiting patients with severe infections caused by MDR bacteria. In this viewpoint, we contrast the aims, methods, and resulting costs of industry-led and investigator-initiated trials and ask whether contemporary registration trial costs are justified. Contract research organizations, delivering and monitoring industry-sponsored trials at a significant cost, have little incentive to make trials more efficient or less expensive. The value of universal monitoring of all trial data is questionable. We propose that clinical trial networks play a more influential role in RCT design and planning, lead adaptive risk-based trial monitoring, and work with the industry to maximize efficient recruitment and lower costs in registration trials for the approval of new antimicrobials.

Value of Information Analysis for Research Decisions-An Introduction: Report 1 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force

Healthcare resource allocation decisions made under conditions of uncertainty may turn out to be suboptimal. In a resource constrained system in which there is a fixed budget, these suboptimal decisions will result in health loss. Consequently, there may be value in reducing uncertainty, through the collection of new evidence, to make better resource allocation decisions. This value can be quantified using a value of information (VOI) analysis. This report, from the ISPOR VOI Task Force, introduces VOI analysis, defines key concepts and terminology, and outlines the role of VOI for supporting decision making, including the steps involved in undertaking and interpreting VOI analyses. The report is specifically aimed at those tasked with making decisions about the adoption of healthcare or the funding of healthcare research. The report provides a number of recommendations for good practice when planning, undertaking, or reviewing the results of VOI analyses.

Budgeting of non-commercial clinical trials: development of a budget tool by a public funding agency

Background

Investigator-led multicentre randomised trials are essential to generate evidence on the optimal use of medical interventions. These non-commercial trials are often hampered by underfunding, which may lead to difficulties in gathering a team with the necessary expertise, a delayed trial start, slow recruitment and even early trial discontinuation. As a new public funder of pragmatic clinical trials, the KCE Trials programme was committed to correctly pay all trial activities in order to assure timely delivery of high-quality trial results. As no appropriate trial budget tool was readily publicly available that took into account the costs for the sponsor as well as the costs for participating sites, we developed a tool to make the budgeting of a clinical trial efficient, transparent and fair across applicants.

Methods

All trial-related activities of the sponsor and sites were categorised, and cost drivers were identified. All elements were included in a spreadsheet tool allowing the sponsor team to calculate in detail the various activities of a clinical trial and to appreciate the budget impact of specific cost drivers, e.g. a delay in recruitment. Hourly fees by role were adapted from published data. Fixed amounts per activity were developed when appropriate.

Results

This publicly available tool has already been used for 17 trials funded since the start of the KCE Trials programme in 2016, and it continues to be used and improved. This budget tool is used together with additional risk-reducing measures such as a multistep selection process with advance payments, a recruitment feasibility check by sponsor and funder, a close monitoring of study progress and a milestone-based payment schedule with the last payment made when the manuscript is submitted.

Conclusions

The budget tool helps the KCE Trials programme to answer relevant research questions in a timely way, within budget and with high quality, a necessary condition to achieve impact of this programme for patients, clinical practice and healthcare payers.

Assessment of Medication Adherence Using a Medical App Among Patients With Multiple Sclerosis Treated With Interferon Beta-1b: Pilot Digital Observational Study (PROmyBETAapp)

Background

Accurate measurement of medication adherence using classical observational studies typically depends on patient self-reporting and is often costly and slow. In contrast, digital observational studies that collect data directly from the patient may pose minimal burden to patients while facilitating accurate, timely, and cost-efficient collection of real-world data. In Germany, ~80% of patients with multiple sclerosis (MS) treated with interferon beta 1b (Betaferon) use an electronic autoinjector (BETACONNECT), which automatically records every injection. Patients may also choose to use a medical app (myBETAapp) to document injection data and their well-being (using a “wellness tracker” feature).

Objective

The goal of this pilot study was to establish a digital study process that allows the collection of medication usage data and to assess medication usage among patients with MS treated with interferon beta-1b who use myBETAapp.

Methods

The PROmyBETAapp digital observational study was a mixed prospective and retrospective, noninterventional, cohort study conducted among users of myBETAapp in Germany (as of December 2017: registered accounts N=1334; actively used accounts N=522). Between September and December 2017, users received two invitations on their app asking them to participate. Interested patients were provided detailed information and completed an electronic consent process. Data from consenting patients’ devices were collected retrospectively starting from the first day of usage if historical data were available in the database and collected prospectively following consent attainment. In total, 6 months of data on medication usage behavior were collected along with 3 months of wellness tracker data. Descriptive statistics were used to analyze persistence, compliance, and adherence to therapy.

Results

Of the 1334 registered accounts, 96 patients (7.2%) provided informed consent to participate in the study. Of these, one patient withdrew consent later. For another patient, injection data could not be recorded during the study period. Follow-up of the remaining 94 patients ended in May 2018. The mean age of participants was 46.6 years, and 50 (53%) were female. Over the 6-month study period, persistence with myBETAapp usage was 96% (90/94), mean compliance was 94% of injections completed, and adherence (persistence and ≥80% compliance) was 89% (84/94). There was no apparent difference between male and female participants and no trend across age groups. The wellness tracker was used by 21% of participants (20/94), with a mean of 3.1 entries per user.

Conclusions

This study provides important information on medication usage among patients with MS treated with interferon beta-1b and on consenting behavior of patients in digital studies. In future studies, this approach may allow patients’ feedback to be rapidly implemented in existing digital solutions.

Trial Registration

ClinicalTrials.gov NCT03134573; https://clinicaltrials.gov/ct2/show/NCT03134573