A common guideline was developed, outlining the key areas for assessment, potential methods for data collection and analysis, and proposing a common structure of the report.
Interestingly, we found that those RCTs which had higher consistency in the proportion of injurious falls (RCTs using the Campbell et al. definition) used similar methods for data collection suggesting that a standardised assessment enhances the comparability of results.
Assessment of QoL, optimal methods for data collection and innovative informatics tools were addressed.
These data indicate that any national health service assessment that is unable to sample facilities in insecure areas likely generates a biased assessment of the province, further highlighting the importance of developing methods for data collection in insecure areas.
LA, CS and PK helped in developing of methods for data-collection and outcome assessment used in this study.
The book is divided into three parts: Volume 1 – Sensing hardware and data collection methods for performance assessment, Volume 2/Part I – Sensor data interrogation and decision making, and Volume 2/Part II – Case studies in assessing and monitoring specific structures.
Key recommendations include the need for improved communication and extended collaboration, guidance and support for researchers, advances in methods, and resource support for data collection, assessment, and research.
However, data suggest that all reported methods for QT assessment are comparable with QT assessed via the tangent method shorter by up to 10ms [ 5].
The best practices workshop focused on four key areas: 1) data elements and data standards, 2) methodologies to systematically analyze liver safety data, 3) tools and methods for causality assessment, and 4) liver safety assessment in special populations such as hepatitis and oncology patients.
Methods used for data collection for each risk assessment tool are summarized briefly below and in detail (Technical Appendix).
