The process of obtaining informed consent to research in long term care facilities (LTCFs)
Bibliographic record
Abstract
We examined the process of obtaining informed consent (IC) for clinical research purposes in long-term care facilities (LTCFs) in Rhode Island (RI), USA. We assessed factors that were associated with resident ability to consent, such as Brief Interview for Mental Status scores. We used a self-administered questionnaire to further understand the effect of LTCF staff evaluation of ability to consent on residents' autonomy and control over their medical decision making.Observational clinical studyLong-term care setting.LTCF personnel provided us with residents' names, as well as their professional assessment of resident ability to consent. We used Brief Interview for Mental Status (BIMS) scores to assess the cognitive capacity of all residents to assess, and compare it to the assessment provided by LTCF personnel. A logistic regression analysis was performed to determine the relationship between LTCF assessment of resident ability to consent and BIMS score or confirmed diagnosis of dementia as seen from residents' medical charts. A self-administered questionnaire was filled out by the personnel of 10 LTCFs across RI, USA.LTCF personnel in 9 out of 10 recruited facilities reported that their assessment of resident ability to consent was based on subjective assessment of the resident as alert and oriented. There was a statistically significant relationship between the LTCF assessment of resident ability to consent and previously diagnosed dementia (OR: 0.211, 95% CI 0.107-0.415). Therefore, as BIMS scores increased, the likelihood that the resident would be deemed able to consent by LTCF personnel also increased. Furthermore, there was a statistically significant relationship between LTCF assessment of resident ability to consent and BIMS scores (OR: 1.430, 95% CI 1.274-1.605).There is no standard on obtaining IC for research studies conducted in LTCFs. We recommend that standardizing the process of obtaining IC in LTCFs can enhance the ability to perform research with LTCF residents.
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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 | 0.387 | 0.343 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".