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Nursing Assistants Detect Behavior Changes in Nursing Home Residents that Precede Acute Illness: Development and Validation of an Illness Warning Instrument

2000· article· en· W2054063274 on OpenAlexaff
Kenneth S. Boockvar, Hazel Brodie, Mark Lacks

Bibliographic record

VenueJournal of the American Geriatrics Society · 2000
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsInstitute of Aging
FundersU.S. Public Health Service
KeywordsMedicineNursingAcute illnessNursing homesWarning systemCritical illnessIntensive care medicineCritically illInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Acute illness causes considerable morbidity and mortality in nursing home residents but is often difficult to recognize early. Nursing assistants often notice early signs of acute illness but do not methodically document or communicate their observations with medical staff. OBJECTIVE: To enhance nursing assistants' observation and documentation of signs of acute illness by developing a validated, standardized instrument for communication with medical staff. DESIGN: Observational cohort study. SETTING: Urban not-for-profit nursing home. SUBJECTS AND METHODS: Candidate instrument items were generated in focus group interviews with nursing home staff. Twenty-three nursing assistants completed the instrument on 74 nursing home residents over 4 weeks. Acute illness, the primary outcome, was identified by nurse report and chart review and determined according to preset criteria. MEASUREMENTS: Predictive validity was assessed by determining the relationship between instrument responses and development of acute illness within 7 days. Interobserver agreement was calculated between morning and afternoon nursing assistants' responses. Convergent validity was assessed by comparing instrument responses with three standard status indicators. RESULTS: The instrument consisted of 12 items that assessed behavioral and functional status changes. Residents with an instrument-recorded change were more likely to develop an acute illness within 7 days than those with no change (risk ratio 4.1, 95% confidence interval 2.6, 6.3). A final five-item instrument had a sensitivity of 53% and a specificity of 93% for acute illness. Nursing assistants' documentation of signs of illness preceded chart documentation by an average of 5 days. Interobserver agreement between morning and afternoon nursing assistants was 76%. Correlation of responses with standard indicators of functional, mental, and global status was high. CONCLUSIONS: A new instrument developed for nursing assistants to document behavioral and functional status changes in nursing home residents demonstrates fair sensitivity and high specificity for acute illness. Close monitoring of patients with a positive instrument might avert morbidity and mortality from acute illness by allowing earlier treatment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.365
Teacher spread0.336 · 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

Citations74
Published2000
Admission routes1
Has abstractyes

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