Objective: To study the nursing management measures about controlling hospital-acquired infection in laminar flow operating rooms.
Method: 261 cases of nursing materials in operating rooms with quality strengthening management and nursing management in LFOR of the hospital from May 2015 to May 2016 are taken as the observation group, and 261 cases of nursing materials before May 2015 with routine management are taken as the control group. The intra-operation colony count in the air, the colony count in hands of medical staffs, and the nosocomial infection incidence are analysed and compared, and the nursing satisfaction is investigated at the same time.
Result: After the quality strengthening management and nursing management, the intra-operation colony count in the air of LFOR is (104.5 ± 20.3) cfu/m3 and the colony count in hands is (1.2 ± 0.2) cfu/m3. The infection rate of patients in the observation group is 0.70%, which is significantly lower than that of the control group. The difference is with statistical significance (p<0.05). After quality strengthening management and nursing management, the nursing satisfaction rate for LFOR by patients and the general satisfaction rate are 83.6% and 94.5% respectively, which are clearly superior to the control group which is 63.2% and 75.3%. The difference is with statistical significance (p<0.05).
Conclusion: The nursing management mode mentioned by the study includes strengthening the personnel and material in and out management, setting special ways for people and goods, controlling the number of visitors and learners, reducing the frequency of opening and closing the operation door, avoid too much walk indoor, dispose pollutants timely, and conduct colony observation regularly. The hospital-acquired infection incidence can be controlled effectively with such nursing management mode.

/pdf/clinical-evaluation-of-nursing-management-of-laminar-flow-2fd8bgb5qb.pdf

Clinical evaluation of nursing management of laminar flow operating room in controlling hospital infection

Objective To explore the effective methods of daily monitoring of air in the clean laminar flow operation room. Methods In accordance to Subsidence Colony-testing Methods of Medical Clean Room/Area GB/T16294-1996 and Hygienic Criterion for Medicine Antisepsis GB/T15982-1995, we chose three rooms at different class under the same temperature and humidity and designated nurses to statically handle sampling of subsidence colony at different heights for 30 min within 8 consecutive days by using multiple-spot sampling and normal sampling, with the samples tested. Results The samples obtained by multiple-spot sampling and normal sampling did not exceed the standard in bacterial colony count, no pathogenic bacteria found in them. The testing results showed significant differences between the multiple-spot sampling group and the normal sampling group by t-test (P0.01) and the effect of the form was better than that of the latter. The samples at the heights of 0.8 m and 1.2 m by the multiple-spot sampling were testing, finding no bacteria, but the samples taken on the grounds and at the height of 0.8 m showed significant difference by χ2 test (P0.05). The effect of sampling at the height of 0.8 m was better than that at the height of 1.2 m in the normal group. Conclusion The height of 0.8~1.2 m is satisfactory at sampling using multiple-spot sampling. The sampling from the grounds for subsidence colony count is an effective method for daily test and monitoring of air in the clean laminar flow operation room.

Daily Monitoring of Air in the Clean Laminar Flow Operation Room

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Wang Shu-ping

Author Tools

Chat about Author

Papers

Daily Monitoring of Air in the Clean Laminar Flow Operation Room