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Record W2143962602 · doi:10.1093/ageing/afu056

National audit of continence care: adherence to National Institute for Health and Clinical Excellence (NICE) Guidance in older versus younger adults with faecal incontinence

2014· article· en· W2143962602 on OpenAlexaff
Danielle Harari, Janet Husk, D. Lowe, Adrian Wagg

Bibliographic record

VenueAge and Ageing · 2014
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNiceMedicineExcellenceAuditFamily medicineFecal incontinenceGerontologyNursingPhysical therapySurgeryManagement

Abstract

fetched live from OpenAlex

BACKGROUND: previous UK National Audits of Continence Care showed low rates of assessment and treatment of faecal incontinence (FI) in older people. OBJECTIVE: the 2009 audit assessed adherence to the National Institute for Health and Clinical Excellence guidelines on management of FI and compared care in older versus younger patients. METHODS: fifteen older (65+) and 15 younger (18-65) patients with FI were to be audited in hospital (inpatient or outpatient), primary care (PC) and care home sites. RESULTS: data were submitted for n = 2,930 cases from 133 hospitals, n = 1,729 from 97 PC surgeries and n = 693 from 63 care homes. Bowel history was not documented in 41% older versus 24% younger patients in hospitals and 27 versus 19% in PC (both P < 0.001). In older people, there was no documented focused examination in one-third in hospitals, one-half in PC and three-quarters in care homes. Overall, <50% had documented treatment for an identified bowel-related cause of FI. FI was frequently attributed to co-morbidity. Few patients received copies of their treatment plan. Quality-of-life impact was poorly documented particularly in hospitals. CONCLUSIONS: this national audit shows deficits in documented assessment, diagnosis and treatment for adults with FI despite availability of clinical guidance. Overall care is significantly poorer for older people. Clinicians, including geriatricians, need to lead on improving care in older people including comprehensive assessment where needed. Improvement in some indicators in older people with successive audits suggests that ongoing national audit with linked information resources can be useful as both monitor and agent for change.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.345
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.341
Teacher spread0.314 · 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.

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

Citations33
Published2014
Admission routes1
Has abstractyes

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