Resource utilization for pre‐screening study patients with cognitive disorders.
Bibliographic record
Abstract
Abstract Background Drug development is a complex, expensive, lengthy, and multifaceted process. Patient recruitment tends to be a considerable and underestimated variable when it comes to planning and implementing a study. More information about evaluating patient sources and resource allocation will allow sites and sponsors to use their resources more effectively and to complete clinical projects earlier. Method This paper reviews the sourcing of patients and resource utilisation in hours for 6 pivotal Cognitive Disorder studies by gathering all patients contacted in various phases of a project: pre‐screening, screening, and randomization. Result Sourcing of patients was tracked for pre‐screening, screening and randomisation and are compared in number of calls, resource utilisation (hours), and number of randomized patients A total of 1 726 patients were pre‐screened, which represents 575 hours of resources, the largest proportion of pre‐screened calls, 43%, was generated from internal database of patients resulting in 46% of randomized patients. The second largest proportion of pre‐screened patients originated from newspapers with 18% of contacts that required 13% of resources and resulted in 14% of randomized patients. Additional sources of pre‐screened calls were conferences (8%), canvassing (7%), friends (4%), medical references (3%), memory day (9%), radio (2%) and web site (2%). Conclusion We report a pre‐screened/screened/randomized ratio of 23:5:1 indicating that pre‐screening is important to secure patient enrolment though largely underestimated and rarely if ever accounted for in budget assessments. Given the current decline in the use of paper media, alternate solutions must be developed to replace this otherwise successful communication tool. More information is required to better characterize each recruitment method and to determine to which extent the randomization ratio is favorable with each initial source of patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".