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Record W2422955958 · doi:10.1093/ofid/ofv133.927

Survey of Infection Prevention and Control Practices Among Hematopoietic Stem Cell Transplant Centers

2015· article· en· W2422955958 on OpenAlexaboutno aff
Elena Beam, Raymund R. Razonable, Michael A. Keating

Bibliographic record

VenueOpen Forum Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHematopoietic cellHematopoietic stem cell transplantationBone transplantationBone marrow transplantTransplantationStem cellHematopoietic stem cellHaematopoiesisInfection controlInternal medicineBone marrowOncologyIntensive care medicineBone marrow transplantationSurgeryBiology

Abstract

fetched live from OpenAlex

Background. There is a desire to standardize Infection Prevention and Control (IPAC) strategies among hematopoietic stem cell transplant (HSCT) centers. Methods. A survey was performed of members of the American Society of Transplantation Infection Diseases Community of Practice on November 2014 and February 2015 on institutional IPAC policies on HSCT patients. Results. There were 38 providers from 28 centers from the United States, Canada, Switzerland, India, South Korea, and Taiwan who responded to the survey. Most use HEPA-filtered rooms for allogeneic HSCT patients (all times [44%], within 3 months of HSCT [28%], or when clinically indicated [8%]). In contrast, 28% do not provide HEPA-filtered rooms after autologous HSCT. Positive pressure rooms are used after allogeneic HSCT in majority of centers (all times [25%], immediate post-transplant [37.5%], when clinically indicated [16.7%]); usage after autologous HSCT are 24%, 16%, and 20%, respectively. A quarter (26.1%) requires health care providers to perform additional hand hygiene beyond standard handwashing, such as use of gloves during all patient contact (12% and 15.4%, respectively). Only a small number of centers have dedicated medical equipment for use at all times (8.3% allogeneic, 7.7% autologous) or perform measures beyond standard room cleaning (13% allogeneic, 8.3% autologous), mostly with terminal bleach cleaning. A fifth does not require patient room doors to be closed (20.8% allogeneic, 20% autologous). No center requires routine use of isolation gowns, and all recommend using them only when clinically indicated. No center allows for plants or flowers in HSCT units. The majority allows use of personal belongings (62.5 % allogeneic, 73.1% autologous). All centers require patients to wear masks when leaving the hospital room or hospital, most commonly during the first 3 or 6 months after HSCT. Majority does not allow animals in hospital rooms (81.8% allogeneic, 80% autologous), and for those that do, these are limited to personal pets (dogs, cats) and service animals. Visitor age restriction varied from <5 years to <15 years in a third of the allogeneic and autologous HSCT centers (32% and 29.6%). Conclusion. This survey highlights varying degrees of implementation of IPAC strategies after HSCT. National guidelines exist to guide many IPAC strategies, but their clinical implementation is variable. Disclosures. All authors: No reported disclosures.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.032
GPT teacher head0.305
Teacher spread0.272 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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