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Record W2793432452 · doi:10.1093/jcag/gwy009.160

A160 IBD PATIENTS’ ACCESS TO TELEPHONE / EMAIL SERVICE PROVIDED BY IBD NURSES IN CANADA

2018· article· en· W2793432452 on OpenAlexaffabout
Usha Chauhan, Oana-Irina Nistor, Barbara Currie, J Nicholl, W McCaw, Melanie Watson, L Westin, Andressa Tadeu Moreira Fernandes, Christine Norton

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsQueen Elizabeth II Health Sciences CentreRobarts Clinical TrialsMcMaster UniversityRed Deer Regional HospitalLondon Health Sciences CentreHalTechMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineFamily medicinePsychosocialAuditConversationNursingDiseaseHealth careInternal medicinePsychology

Abstract

fetched live from OpenAlex

IBD is characterized by intermittent exacerbations of disease, known as ‘flares’, with activity free periods of ‘remission’. The course of disease is unpredictable and it has a substantial negative impact on patients’ quality of life and healthcare resources. The care of IBD patients extends beyond routine medical provider office visits as the disease activity is unpredictable and it does not coincide with the scheduled appointments. Nurses play an integral part in ensuring access to care during and between office visits. The primary objective of this study was to examine the utilization of IBD nursing telephone/email service provided to IBD patients during a 14 day period in Canada. Using a mixed method approach, data was collected by CANIBD Nurses conducting an audit of telephone / email services provided by nurses working with IBD patients over a 2-weeks period. The nurses’ interactions with IBD patients were compared using paired and independent t-tests. 84 IBD nurses across Canada were invited to participate in the study. 21 nurses participated in the study, including 4 research nurses, 7 adult and 2 pediatric RNs, 2 Clinical Nurse Specialists, 6 Nurse Practitioners (4 adult and 2 pediatric) with good representation from across the country. 431 encounters were reported: 78 (14%) via email, 327 (57%) via telephone and 26 (5%) telephone conversation following email interaction. The reasons for the telephone/email contact were divided into 9 themes: disease flare, other GI symptoms, medication related concerns, follow up with investigation results, scheduling appointments, questions related to insurance coverage, psychosocial concerns, financial concerns and other. Based on their interaction with the IBD patients, IBD nurse(s) were able to provide nurse managed interventions 343(60%), schedule an appointment in the IBD Clinic 112 (20%), consult the primary healthcare practitioner 109 (19%), consult an allied health practitioner such a dietician or ostomy nurse 13 (2%), instructed the patient to go to the Emergency Department 10 (2%), contact a patient support program 48 (8%), schedule a follow up telephone call to reassess 66 (12%), adjust medications 6 (1%) and other 111 (20%). A few IBD nurses in Canada offer telephone/email access to care for IBD patients. Although 84 IBD nurses were invited to participate in this outpatient IBD nursing practice audit, only 21 completed the survey. IBD nurses are a critical point of contact for patients and our study identified and compared common reason for call in the adult and pediatric settings. Nurses were able to manage the “reason for call” 60% of the time. Further research would be valuable to explore the impact IBD nurses have on the wellbeing of patients with IBD and their healthcare utilization. None

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.255

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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 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

Citations0
Published2018
Admission routes2
Has abstractyes

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