The bacterial contamination rate of glucose meter test strips in the hospital setting

Nurses' cleaning practice of non-critical medical equipment in the era of COVID 19: A cross-sectional study in Debre-Tabor comprehensive specialized hospital

OBJECTIVES

This study was aimed at assessing the cleaning practice of non-critical medical equipment (NCME) in the era of corona virus disease-2019 of nurses working in Debre-Tabor comprehensive specialized hospital (DTCSH), north-central Ethiopia.

DESIGN

Facility based cross-sectional study was conducted in DTCSH, Ethiopia, from July 05 to August 05, 2020.

SETTING

The study was conducted in inpatient and outpatient units of the hospital.

PARTICIPANTS

A total of 76 randomly selected staff nurses and 6 head nurses were included for observational study and interview respectively.

RESULTS

Only 1.3%-5.3% of nurses cleaned stethoscopes, thermometers, pulse oximeters, and glucometers right after using these devices for patients. None of them cleaned the blood pressure apparatus before or after checking a patient's blood pressure and glucometer before determining blood glucose levels. Lack of disinfecting materials and lack of training on infection prevention were perceived by head nurses as major barriers for proper cleaning practices.

CONCLUSION

Nurses' cleaning practice of NCME was very low. Therefore, proper supply of materials needed to clean these devices need to be secured. Besides, nurses need to get training on infection prevention.

The porcine corneal surface bacterial microbiome: A distinctive niche within the ocular surface

Purpose

The ocular surface microbiome has been described as paucibacterial. Until now, studies investigating the bacterial community associated with the ocular surface through high-throughput sequencing have focused on the conjunctiva. Conjunctival samples are thought to reflect and be representative of the microbiome residing on the ocular surface, including the cornea. Here, we hypothesized that the bacterial community associated with the corneal surface was different from those of the inferonasal and superotemporal conjunctival fornices, and from the tear film.

Methods

Both eyes from 15 healthy piglets were sampled using swabs (inferonasal fornix, superotemporal fornix, and corneal surface, n = 30 each) and Schirmer tear test strips (STT, n = 30). Negative sampling controls (swabs and STT, n = 2 each) and extraction controls (n = 4) were included. Total DNA was extracted and high-throughput sequencing targeting the 16S rRNA gene was performed. Bioinformatic analyses included multiple contamination-controlling steps.

Results

Corneal surface samples had a significantly lower number of taxa detected (P<0.01) and were compositionally different from all other sample types (Bray-Curtis dissimilarity, P<0.04). It also harbored higher levels of Proteobacteria (P<0.05), specifically Brevundimonas spp. (4.1-fold) and Paracoccus spp. (3.4-fold) than other sample types. Negative control STT strip samples yielded the highest amount of 16S rRNA gene copies across all sample types (P<0.05).

Conclusions

Our data suggests that the corneal surface provides a distinct environmental niche within the ocular surface, leading to a bacterial community compositionally different from all other sample types.