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Record W2580177423 · doi:10.1177/0885066616689774

Probabilistic Return-on-Investment Analysis of Single-Family Versus Open-Bay Rooms in Neonatal Intensive Care Units—Synthesis and Evaluation of Early Evidence on Nosocomial Infections, Length of Stay, and Direct Cost of Care

2017· review· en· W2580177423 on OpenAlexaff
Hessam Sadatsafavi, Bahar Niknejad, Mardelle McCuskey Shepley, Mohsen Sadatsafavi

Bibliographic record

VenueJournal of Intensive Care Medicine · 2017
Typereview
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsCentre for Advancing Health OutcomesUniversity of British Columbia
Fundersnot available
KeywordsMedicineNeonatal intensive care unitIntensive careDirect costCost–benefit analysisIntensive care unitConfidence intervalIndirect costsCredible intervalInvestment (military)Emergency medicineIntensive care medicinePediatrics

Abstract

fetched live from OpenAlex

BACKGROUND:: There is increasing evidence that the physical environment of neonatal intensive care units (NICUs), including single-family rooms (SFRs) versus open-bay rooms (OPBYs), has tangible effects on vulnerable patients. The objective of this study was to illustrate the financial implications of SFR versus OPBY units by synthesizing and evaluating the evidence regarding the benefits and costs of each unit from a hospital perspective. METHODS:: We assumed a hypothetical NICU with 40 beds in OPBY rooms, to be replaced with a new NICU with 32 SFRs and 8 OPBYs. We synthesized evidence regarding the comparative benefit of each option on 3 outcomes-nosocomial infections, length of stay, and direct costs. We calculated incremental benefit-cost ratio separately considering each outcome over an analysis period of 5 years. A ratio of more than 1 indicates that the investment is worthwhile. Input parameters were assigned probability distributions representing the degree of uncertainty around their true values. Monte Carlo simulation with 5000 iterations was used to quantify the distribution of benefits and costs. RESULTS:: The mean value of the incremental benefit-cost ratio was 0.730 (95% credible interval: 0.724-0.735) when nosocomial infections were considered, 1.298 (1.282-1.315) when reduced length of stay was considered, and 1.794 (1.783-1.804) when direct costs of care were compared. The probability of a benefit-cost ratio of lower than 1 was about 91%, 31%, and 2% in each case, respectively. CONCLUSION:: Cost savings associated with SFR units would justify additional construction and operation costs compared to OPBY units only when evidence on inclusive outcomes such as length of stay or direct costs of care is considered. A specific outcome such as infection rate potentially fails to capture all benefits of SFRs. As more evidence becomes available on full benefits and hazards of SFRs versus OPBYs, future studies should investigate the broader return-on-investment outcomes.

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)0.083
metaresearch head score (Gemma)0.208
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.083
Threshold uncertainty score0.441

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0830.208
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.015
Bibliometrics0.0060.003
Science and technology studies0.0000.001
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.228
GPT teacher head0.430
Teacher spread0.202 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations10
Published2017
Admission routes1
Has abstractyes

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