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Record W2602572008 · doi:10.1186/s12913-017-2166-7

Effects of interdisciplinary teamwork on patient-reported experience of cancer care

2017· article· en· W2602572008 on OpenAlexafffund
Dominique Tremblay, Danièle Roberge, Nassera Touati, Elizabeth Maunsell, Djamal Berbiche

Bibliographic record

VenueBMC Health Services Research · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversité LavalÉcole Nationale d'Administration PubliqueHôpital Charles-Le MoyneUniversité de Sherbrooke
FundersCanadian Cancer Society Research Institute
KeywordsNursing researchMedicineHealth informaticsHealth administrationTeamworkPublic healthPain medicineNursingHealth carePatient careFamily medicineAnesthesiologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Interdisciplinary teamwork (ITW) is deemed necessary for quality cancer care practices. Nevertheless, variation in ITW intensity among cancer teams is understudied, and quantitative evidence of the effect of different ITW intensities among cancer teams on patients' perceived experience of care is limited. This study aims to compare patient-reported experience measures (PREMs) of cancer outpatients followed by teams characterized by high vs. low ITW intensity. METHODS: The study is designed as an ex post facto quasi-experimental study. Participants (n = 1379) were recruited in nine outpatient oncology clinics characterized by different ITW intensities. ITW intensities were evaluated using the characteristics of structure (team composition and size) and process (interactions among team members), as per West's seminal work on team effectiveness. ITW intensity was dichotomized (high vs. low ITW intensity). PREMs were classified and measured using validated scales corresponding to six dimensions: Prompt access to care, Person-centred response, Quality of patient-professional communication, Quality of the care environment, Continuity of care, and Results of care. Dichotomous variables were created for each dimension (positive vs. less positive experience). Multiple logistic regression analyses were performed to assess the association between ITW intensities and the six PREMs dimensions, while controlling for patient and organizational characteristics. PROC GENMOD was used to fit logistic models for categorical variables. RESULTS: Outpatients treated by teams characterized by high ITW intensity reported almost four times more positive perceptions of Prompt access to care compared to patients treated by low ITW intensity teams (OR = 3.99; CI = 1.89-8.41). High ITW intensity also positively affected patients' perceptions of Quality of patient-professional communication (OR = 2.37; CI = 1.25-4.51), Person-centred response (OR = 2.11; CI = 1.05-4.24], and Continuity of care (OR = 2.18; CI = 1.07-4.45). No significant association was found between ITW intensity and perceived Results of care (OR = 1.31; CI = 0.68-2.52) or Quality of the care environment (OR = 0.66; CI = 0.31-1.39). CONCLUSIONS: This study provides empirical evidence, from the patient's perspective, that ITW intensity affects some critical aspects of patient-reported quality of care. Future research will allow explaining how and why ITW structure and processes may contribute to positive cancer care experiences.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.070
GPT teacher head0.593
Teacher spread0.523 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations91
Published2017
Admission routes2
Has abstractyes

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