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Abstract Themes

Potential areas for inclusion are listed for each theme. These are intended as a guide to help you chose the most appropriate theme, and are not intended to limit abstract submission. We will accept abstracts under the theme in any appropriate area. You can select up to 3 major themes. The subthemes are listed as potential examples of areas of interest.

If you are unsure which theme to submit your abstract under please contact us ictmc@in-conference.org.uk

In-Conference Tutorials & Pre-Conference Workshop Themes

  • Adaptive designs
  • Designing informative feasibility studies and pilot trials
  • Core outcome set development and selection of patient-centered outcomes
  • Clinical trial conduct: effective trial recruitment and retention, study start up and close-out in multi-center trials
  • The working of Data Monitoring Committees and preparing reports for DMCs
  • Health economics and cost effectiveness analysis
  • Data sharing: Preparing, submitting and accessing trial data from data sharing platforms

Invited Sessions, Contributed Papers & Poster Abstract Themes

 Trial Design- innovative methods

  • Adaptive trial designs
  • Using Big Data
  • Definitive trials (phase III) setting
  • Exploratory studies (phase I, phase II) setting
  • Platform, multi-arm and multi-comparison trials
  • Rare and uncommon diseases
  • Implementation into practice
  • Moving from the traditional frequentist approach

Recruitment and retention

  • Cost implications re recruitment and retention.
  • Exploring novel methods of recruiting and retaining participants
  • Issues related to recruitment:
    Training site staff
    Communication with patients
    Use of incentives for patients or sites
    Prediction and monitoring
    Recruiting those who are ‘hard to reach’
    Identifying and overcoming sources of bias when recruiting to trials
  • Issues related to retention:
    Patient perspectives of withdrawal and retention
    Minimising attrition in trial design (case studies, strategies, nested RCT’s and evidence base for the effectiveness of strategies)
    Trial site training, monitoring
  • Statistical approaches to handling missing data including transparency of reporting

Trial and project management/research coordination- the conduct of good trials

  • Trial set up
    The Project Manager
    The Team and collaborators
  • Documentation
  • Regulatory and ethical correspondence
  • Communication and dissemination
    Both within the team and outwards to third parties
    Reporting findings to the non-expert, e.g. to charities or laypeople
    Innovation approaches/beyond traditionally means

Trials in crisis- rapid response trials

  • Ethical considerations including informed consent
  • Regulatory oversight
  • Study design considerations including statistical analysis
  • Data collection and submission methods
  • Preclinical and clinical data requirements supporting therapeutic interventions

Statistical analysis

  • Design and analysis of stepped wedge trials
  • Causal modelling in trials
  • Handling missing data
  • Adaptive pragmatic trial designs
  • Beyond intention-to-treat
  • Increasing trial efficiency
  • Missing data

Systematic reviews and evidence synthesis

  • Using evidence synthesis in trial design
  • Value of information analyses
  • Using evidence synthesis in trial conduct, analysis and reporting
  • Reporting trials to contribute to evidence synthesis
  • Making trial data available for evidence synthesis

Stratified medicine

  • Biomarker discovery, development and validation in clinical trials
  • Clinical trial designs for stratified medicine
  • Evidence synthesis and health economics for stratified medicine

Health Economics

  • Efficient Trial Design
  • Data collection (including methods for missing data)
  • Extrapolation beyond trial sites and time horizon

Health Informatics

  • Using routinely captured clinical datasets to enhance clinical trials
  • Reliable and accurate data capture using tablets, phones or other mobile devices
  • Long term storage and curation of electronic clinical data
  • Health Informatics enabling improved patient car

Information systems and technology in trials

  • Electronic data capture methods and systems
  • Novel developments to improve data collection/management
  • Using routinely collected data for trial purposes
  • Electronic patient outcome systems (ePROMS)
  • Clinical database management systems (CDMS)

Outcomes

  • Selection of trial outcomes / core outcome sets
  • Outcome measurement instruments (inc PROMS)
  • Reporting & communication of trial outcomes
  • Surrogate & composite outcomes
  • Health Economic outcome

Qualitative research

  • Trial design and conduct
  • Ethical procedures
  • Intervention feasibility and acceptability
  • Outcomes
  • Intervention development/modification

Complex interventions

  • Methods to design the form and content of complex interventions
  • Evaluating the effect of complex interventions
  • Effective reporting of complex interventions
  • Getting complex interventions into practice

Choosing interventions

  • Design and evaluation of complex interventions
  • Assessing adherence to trial interventions
  • Determining the choice of control intervention
  • Completeness of reporting and replicability of interventions

Translational medicine- getting new methods into the pipeline

  • Identification and characteristics of areas needing new methods
  • Developing new methods
    Tackling proof of concept for new methods
    b. Approaches to testing feasibility of new methods
  • Moving methods from other disciplines

Involving research partners

  • Working better with industry
  • Working better with government health insurers: NHS / Medicare
  • Working better with patients and patient organisations – e.g. patient and public engagement and awareness raising about research and clinical trials; patient and public involvement in research and participant experience of clinical trial

Feasibility and pilot studies

  • Definition & terminology
  • Innovative study designs
  • Sample Size considerations
  • Completed studies – generalisable implications for future design or conduct

Data Management

  • Innovative methods including:
    Systems and processes
    Monitoring and review
    Communication and training strategies
    Marketing and delivery