MétaCan
Menu
Back to cohort
Record W2147017386 · doi:10.1186/1748-5908-7-87

Should we feed back research results in the midst of a study?

2012· article· en· W2147017386 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueImplementation Science · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSaskatchewan Health Quality CouncilUniversity of CalgaryUniversity of Alberta
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsMedicineHealth services researchHealth administrationHealth informaticsPublic healthNursing researchFamily medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: This report is an introduction to a series of three research papers that describe the evolution of the approaches taken by the Translating Research in Elder Care (TREC) research team during its first four years to feed back the research findings to study participants. TREC is an observational multi-method health services research project underway in 36 nursing homes in the prairie provinces of Canada. TREC has actively involved decision makers from the sector in all stages from initial planning, through data collection to dissemination activities. However, it was not planned as a fully integrated knowledge translation project. These three papers describe our progress towards fully integrated knowledge translation--with respect to timely and requested feedback processes. The first paper reports on the process and outcomes of creating and evaluating the feedback of research findings to healthcare aides (unregulated health professionals). These aides provide over 80% of the direct care in our sample and actively requested the feedback as a condition of their continued cooperation in the data acquisition process. The second paper describes feedback from nursing home administrators on preliminary research findings (a facility annual report) and evaluation of the reports' utility. The third paper discusses an approach to providing a more in-depth form of feedback (expanded feedback report) at one of the TREC nursing homes. FINDINGS: Survey and interview feedback from healthcare aides is presented in the first paper. Overall, healthcare aides' opinions about presentation of the feedback report and the understand ability, usability, and usefulness of the content were positive. The second paper describes the use of telephone interviews with facility administrators and indicates that the majority of contextual areas (e.g., staff job satisfaction) addressed in facility annual report to be useful, meaningful, and understandable. More than one-half of the administrators would have liked to have received information on additional areas. The third paper explores how a case study that examined how involvement with the TREC study influenced management and staff at one of the TREC nursing homes. The importance of understanding organizational routines and the impact of corporate restructuring were key themes emerging from the case study. In addition, the Director of Care suggested changes to the structure and format of the feedback report that would have improved its usefulness. CONCLUSIONS: We believe that these findings will inform others undertaking integrated knowledge translation activities and will encourage others to become more engaged in feedback processes.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.634
GPT teacher head0.676
Teacher spread0.042 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it