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Record W4292371675 · doi:10.1186/s41687-022-00494-3

Patient-reported outcome measures in pediatric asthma care: using theoretical domains framework to explore healthcare providers’ perceptions

2022· article· en· W4292371675 on OpenAlexafffund
Sumedh Bele, Sarah Rabi, Muning Zhang, Elizabeth Oddone Paolucci, David W. Johnson, Hude Quan, Maria Santana

Bibliographic record

VenueJournal of Patient-Reported Outcomes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsAlberta Health ServicesQueen's UniversityCanadian Patient Safety InstituteAlberta HealthUniversity of Calgary
FundersAlberta Children's Hospital Research InstituteAlberta Innovates
KeywordsPatient-reported outcomeHealth careQualitative researchMedicineNursingPsychological interventionOutpatient clinicFamily medicinePsychologyQuality of life (healthcare)

Abstract

fetched live from OpenAlex

BACKGROUND: Patient-reported outcome measures (PROMs) play an important role in promoting and supporting patient and family-centered care. Implementing interventions like PROMs in routine clinical care require key stakeholders to change their behavior. The aim of this study was to utilize the Theoretical Domains Framework (TDF) to identify barriers and enablers to the implementation of PROMs in pediatric outpatient asthma clinics from healthcare providers' perspective. METHODS: This TDF-guided qualitative descriptive study is part of a larger multi-phase project to develop the KidsPRO program, an electronic platform to administer, collect, and use PROMs in pediatrics. Semi-structured qualitative interviews were conducted with 17 participants, which included pediatricians, nurses, allied health professionals and administrative staff from outpatient asthma clinics. All the interviews were transcribed, deductively coded, inductively grouped in themes, and categorized into barriers and enablers. RESULTS: We identified 33 themes within 14 TDF domains, which were further categorized and tabulated into 16 barriers and 17 enablers to implementing PROMs in asthma clinics. Barriers to behavioral change were attributed to personal, clinical, non-clinical, and other system-level factors; they ranged from limited awareness of PROMs to language barriers and patient's complex family background. Enablers ranged from a personal commitment to providing patient and family-centered care to administering PROMs electronically. CONCLUSION: This implementation of science-based systematic inquiry captured the complexity of PROMs implementation in pediatric outpatient clinical care for asthma. Considering the consistency in barriers and enablers to implementing PROMs across patient populations and care settings, many findings of this study will be directly applicable to other pediatric healthcare settings.

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 imitation

Not 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.

metaresearch head score (Codex)0.042
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0020.006
Scholarly communication0.0030.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.148
GPT teacher head0.443
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2022
Admission routes2
Has abstractyes

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