Background: A 2017 systematic review suggested patient engagement in clinical trials has been limited, with little active engagement in trial design or data analysis, interpretation or dissemination. Additionally, there remains limited sex/gender reporting in clinical trial research.

Objectives: The overall goal of this project was to disseminate sex/gender knowledge and build capacity for patient engagement in clinical trials. Specific objectives were to (1) create capacity and identify opportunities for patient engagement in clinical trials and sponsor- or investigator-led activities (e.g. clinical trial design and conduct); and (2) enhance new/early investigator sex/gender knowledge and skills related to patient-oriented research (POR).

Methods: We used the Canadian Institutes of Health Research Strategy for Patient-Oriented Research (SPOR) Capacity Development Framework and the SPOR Patient Engagement Framework to guide three phases of this project: (1) conduct a scoping review using methods described by the Evidence for Policy and Practice Information (EPPI) and the Coordinating Centre at the Institute of Education (Phase 1); (2) host a 1-day POR consultation workshop (Phase 2); and (3) deliver a new/early investigator POR training day (Phase 3). Six electronic databases (CINAHL, MEDLINE, EMBASE, PsychInfo, the Cochrane Library, and AMED) were searched from 1996 using keywords and Medical Subject Heading (MeSH) terms in accordance with the International Association for Public Participation (IAP2) and the search criteria in the bibliographic databases. Standard approaches were used to search the grey literature.

Results: A total of 79 studies and over 150 websites were subject to data abstraction by team members, capturing information on sex/gender and SPOR's patient engagement guiding principles of inclusiveness, support, mutual respect, and co-building. Results were presented to 32 key stakeholders at the consultation workshop and input was sought on next steps using nominal group techniques. Based on the plethora of existing POR resources, relevant POR information from the scoping review was collated into two decision aids (patient and investigator) to determine readiness to engage with/as a patient partner in a clinical trial. The decision aids were presented at a POR training day with 88 new/early investigators, clinicians, patient partners and decision makers. The decision aids showed 'good' usability, assessed using the System Usability Scale (SUS). Attendees thought the decision aids were engaging, they increased their understanding of sex/gender, patient engagement and POR, and they would recommend them to others. POR principles and practices were integrated across all phases of the project. Patient partners (1) identified research priorities/search terms; (2) collected/analyzed data; (3) designed the patient partner decision aid; and (4) disseminated the results through presentation.

Conclusion: Our digital patient partner and investigator decision aids are the first to provide information technology to deliver sex/gender, POR knowledge, and decision support beyond the traditional decision aids used for health screening and/or treatment decisions. The decision aids have the potential to make a significant contribution to Canada's Strategy for POR and support the collaborative efforts of patients and investigators to build a sustainable, accessible and equitable health care system.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655585PMC
http://dx.doi.org/10.1007/s40271-020-00460-5DOI Listing

Publication Analysis

Top Keywords

decision aids
32
patient engagement
28
clinical trials
16
patient partner
16
patient
14
engagement clinical
12
clinical trial
12
decision
11
por
9
partner investigator
8

Similar Publications

Resistance spot-welded joints are crucial parts in contemporary manufacturing technology due to their ubiquitous use in the automobile industry. The necessity of improving manufacturing efficiency and quality at an affordable cost requires deep knowledge of the resistance spot welding (RSW) process and the development of artificial neural network (ANN)- and machine learning (ML)-based modelling techniques, apt for providing essential tools for design, planning, and incorporation in the welding process. Tensile shear force and nugget diameter are the most crucial outputs for evaluating the quality of a resistance spot-welded specimen.

View Article and Find Full Text PDF

Epidemiology of Rounding Error.

Medicina (Kaunas)

December 2024

Cooperative Studies Program Coordinating Center, VA Boston, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA 02111, USA.

This work represents a significant contribution to understanding the importance of appropriately rounding numbers with minimal error. That is, to reduce inexact rounding and data truncation error and simultaneously eliminate unintentional misleading findings in epidemiological studies. The rounding of numbers represents a compromise solution that attempts to find a balance between the loss of information from reporting too few significant digits versus retaining more digits than necessary.

View Article and Find Full Text PDF

A battery-operated biomedical wearable device gradually assists in clinical tasks to monitor patients' health states regarding early diagnosis and detection. This paper presents the development of a self-powered portable electronic module by integrating an onboard energy-harvesting facility for electrocardiogram (ECG) signal processing and personalized health monitoring. The developed electronic module provides a customizable approach to power the device using a lithium-ion battery, a series of silicon photodiode arrays, and a solar panel.

View Article and Find Full Text PDF

State and local health departments were responsible for ensuring equitable distribution of the COVID-19 vaccine. This qualitative study aimed to identify the challenges, strategies, disappointments, and successes in achieving equity for hard-to-reach and at-risk populations. Using a purposive sampling strategy, 16 individuals affiliated with health departments across nine states, each holding leadership roles in vaccine distribution, were interviewed between late 2021 and mid-2022.

View Article and Find Full Text PDF

The COVID-19 pandemic has highlighted the crucial role of health sector decision-makers in establishing and evaluating effective treatment and prevention policies. To inform sound decisions, it is essential to simultaneously monitor multiple pandemic characteristics, including transmission rates, infection rates, recovery rates (which indicate treatment efficacy), and fatality rates. This study introduces an innovative application of existing methodologies: the Multivariate Exponentially Weighted Moving Average (MEWMA) and Multivariate Cumulative Sum (MCUSUM) control charts (CCs), used for monitoring the parameters of the Susceptible, Exposed, Infected, Recovered, Death, and Vaccination (SEIRDV) model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!