Abstract
The purpose of this study is to extend prior research on the role of adventitious lung sounds as an accurate indicator of the need for endotracheal suctioning (ETS) in adult patients requiring mechanical ventilation and endotracheal intubation. Prior research has demonstrated a link between the presence of adventitious lung sounds and secretions in the tracheobronchial tree. However, many questions still remain unanswered in relationship to: lung sound characteristics, pattern, relationship to the respiratory cycle, volume of airway secretions, and clinical decision making. The following research questions were addressed. (1) What is the pattern of adventitious lung sounds present immediately prior to ETS? (2) How do adventitious lung sounds patterns change after ETS? (3) What is the relationship between adventitious lung sounds volume of tracheobronchial secretions aspirated by ETS? (4) What relationship exists between the degree of importance of rhonchi perceived by the patient's primary nurse, in the decision to suction, and rhonchi measured by computer analysis prior to suctioning?
Sigma Membership
Alpha Chi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Quasi-Experimental Study, Other
Research Approach
Quantitative Research
Keywords:
Intubation Patients, Intubation Placement, Technology in Nursing Care
Advisor
Margaret Murphy
Degree
PhD
Degree Grantor
Boston College
Degree Year
1996
Recommended Citation
Schmelz, Joseph O., "Computerized lung sound analysis as an indicator for endotracheal suctioning in mechanically ventilated patients" (2020). Dissertations. 851.
https://www.sigmarepository.org/dissertations/851
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2020-08-14
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9707889; ProQuest document ID: 304240091. The author still retains copyright.