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Qualitative Methodology: Hospital Nurse Staffing and Quality of Care Keli Feathler, RN Grand Canyon University NRS 433v Nora Bazydlo RN MSN October 29, 2011 Introduction Does the issue of nurse staffing have an effect on quality of patient care? This study addresses the topic of nurse staffing, which includes nurses (RN and LPN) and nurse’s aides. Research in Action: Agency for Healthcare Research and Quality (AHRQ) presents the study “Hospital Nurse Staffing and Quality of Care”. Nurse staffing is measured in one of two ways: nursing hours per patient day and nurse to patent ratio (Stanton, 2004). The article looks at periods of high vacancy rates, assesses the patients needs, the development of care …show more content…

It is seen in the results of the data that there has been a significant association with low levels of nursing staff, increased risk of negative patient outcome and how quality of care is changing. Using this information to educate and inform can have a positive impact on nurse staffing and patient quality of care (Stanton, 2004). Methods Historical data and participant observation were the two primary methods of research. It is observed that in addition to the patient acuity levels nurses perceive insufficient staffing related to the non-nursing work they are expected to perform such as delivering food trays, housekeeping responsibilities, and performing ancillary services. Many different views of the nurse to patient ratio are explored, and it was sufficiently established that the redundancy of the data was reached. It was not established whether or not informed consent was obtained. Data Collection and Analysis The descriptors for the different aspects of staffing versus quality of care are well presented. Clear headings of the different aspects studied are used, and the data that relates to each aspect. Topics explored in the issue of nurse to patient ratio and quality of care are; Mortality associated with staffing, job workload, cost of adverse events, and strategies for improvement (Stanton, 2004). The researcher’s assumptions and biases are not noticed, the

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