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Record W2093361452 · doi:10.1186/1748-5908-4-21

Healthcare professionals and managers' participation in developing an intervention: A pre-intervention study in the elderly care context

2009· article· en· W2093361452 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.

Bibliographic record

VenueImplementation Science · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsJewish General HospitalUniversité de MontréalMcGill University
FundersMcGill University
KeywordsMedicineHealth administrationHealth services researchIntervention (counseling)Health informaticsHealth careContext (archaeology)NursingPublic healthHealth professionalsNursing researchFamily medicineEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: In order to increase the chances of success in new interventions in healthcare, it is generally recommended to tailor the intervention to the target setting and the target professionals. Nonetheless, pre-intervention studies are rarely conducted or are very limited in scope. Moreover, little is known about how to integrate the results of a pre-intervention study into an intervention. As part of a project to develop an intervention aimed at improving care for the elderly in France, a pre-intervention study was conducted to systematically gather data on the current practices, issues, and expectations of healthcare professionals and managers in order to determine the defining features of a successful intervention. METHODS: A qualitative study was carried out from 2004 to 2006 using a grounded theory approach and involving a purposeful sample of 56 healthcare professionals and managers in Paris, France. Four sources of evidence were used: interviews, focus groups, observation, and documentation. RESULTS: The stepwise approach comprised three phases, and each provided specific results. In the first step of the pre-intervention study, we gathered data on practices, perceived issues, and expectations of healthcare professionals and managers. The second step involved holding focus groups in order to define the characteristics of a tailor-made intervention. The third step allowed validation of the findings. Using this approach, we were able to design and develop an intervention in elderly care that met the professionals' and managers' expectations. CONCLUSION: This article reports on an in-depth pre-intervention study that led to the design and development of an intervention in partnership with local healthcare professionals and managers. The stepwise approach represents an innovative strategy for developing tailored interventions, particularly in complex domains such as chronic care. It highlights the usefulness of seeking out the insight of healthcare professionalnd managers and emphasizes the need to intervene at different levels. Further research will be needed in order to develop a more thorough understanding of the impacts of such strategies on the final outcomes of intervention implementations.

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)0.010
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 score0.252
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.560
GPT teacher head0.742
Teacher spread0.182 · 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