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Record W3016816525 · doi:10.1111/iwj.13374

Patient‐reported experience measures are essential to improving quality of care for chronic wounds: An international qualitative study

2020· article· en· W3016816525 on OpenAlex
Lee Squitieri, Elena Tsangaris, Anne F. Klassen, Emiel L. W. G. van Haren, Lotte Poulsen, Natasha M. Longmire, Tert C. van Alphen, Maarten M. Hoogbergen, Jens Ahm Sørensen, Karen Cross, Andrea L. Pusic

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Wound Journal · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsSt. Michael's HospitalUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMedicineQualitative researchQuality (philosophy)Patient experienceMultiple Chronic ConditionsQuality managementIntensive care medicineNursingHealth careChronic diseaseOperations management

Abstract

fetched live from OpenAlex

Traditional quality measures for chronic wounds have focused on objective outcomes that are challenging to risk adjust, lack patient input, and have limited ability to inform quality improvement interventions. Patient-reported experience measures (PREMs) provide information from the patient perspective regarding health care quality and have potential to improve patient-centredness, increase care efficiency, and generate actionable data for quality improvement. The purpose of this study was to understand patient experiences and health care processes that impact quality of care among patients with chronic wounds. Sixty patients at least 18 years of age with various wound aetiologies were recruited from Canada, Denmark, The Netherlands, and the United States as part of a larger phase 1 qualitative study to develop a patient-reported outcome measure for chronic wounds (WOUND-Q). All patients had a chronic wound for at least 3 months, were fluent in their native speaking language, and able to participate in a one-on-one semi-structured interview. Interviews were digitally recorded and transcribed verbatim. Interpretive description was used to identify recurrent themes relating to patient experience and quality of care. We identified five domains (care coordination, establishing/obtaining care, information delivery, patient-provider interaction, and treatment delivery) and 21 sub-domains (access to patient information, interdisciplinary communication, encounter efficiency, provider availability, specialist referral, staff professionalism, travel/convenience, modality, reciprocity, understandability/consistency, accountability, continuity, credentials, rapport, appropriateness, complication management, continuity, environment/setting, equipment and supply needs, expectation, and patient-centred) as potential opportunities to measure and improve quality of care in the chronic wound population. PREMs for chronic wounds represent an important opportunity to engage patients and longitudinally assess quality across clinical settings and providers. Future research should focus on developing PREMs to complement traditional objective and patient-reported outcome measures for chronic wounds.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.068
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.149
GPT teacher head0.521
Teacher spread0.372 · 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