2.50
Hdl Handle:
http://hdl.handle.net/10755/154730
Type:
Presentation
Title:
Nursing Workload Measurement for Urban Hospitals in China
Abstract:
Nursing Workload Measurement for Urban Hospitals in China
Conference Sponsor:Sigma Theta Tau International
Conference Year:2002
Conference Date:July, 2002
Author:Liu, Huaping
P.I. Institution Name:Peking Union Medical College
Title:Assistant Professor
Objectives: The objective of this study was to examine whether and how the severity of illness of patients could be used to adjust nursing workload measurement in two urban hospitals in China. Design: This exploratory study was conducted as three phases. Phase One of the study used time and motion data to examine nursing workload in the two hospitals. Phase Two of the study used ICD-9 data from the same two hospitals to analyze the patient severity levels. Based on the findings from the first two phases, Phase Three of the study proposed a severity adjusted nursing workload measurement framework for urban hospitals in China. Population, Sample, Settings, Years: Phase One of this study used secondary data from a previous project. The data was collected in two urban hospitals in China from 1995 to 1996. Phase two data was collected by the investigator for this study from the same two hospitals' patient record departments. The data contained patients' identification number, all icd-9 codes while was hospitalized, admission date, and discharge date. The data collected was from January 1, 1999 to December 31, 1999. Phase Three of the study used the findings from Phase One and Phase Two of this study to construct a severity of illness adjusted nursing workload measurement method. Concept or Variables Studied Together or Intervention and Outcome Variable(s): Variables included in the Phase One of the study are hospital characteristics, hospital departments, patient demographics (age, gender), patient's level of care, selected nurse demographics (age, years of working experience, educational level, professional title), and GRASP activity time measures. Variables in the Phase Two of the study are patient length of stay and severity of illness. Methods: For the Phase One study, the first step was to identify the range, mean and standard deviation of the time it takes nurse to perform each nursing activity and for nursing activity groups; and to examine task group performed time variation. Next, the degree to which nursing activities and nursing activity groups varied based on nurses' ages, patients' gender, patients' ages, and levels of care was identified. For the Phase Two of the study, in order to analysis the difference in LOS in the two hospitals, first the overall average LOS of the ICD-9s was examined for the two hospitals. Second, the difference between the average LOS for each primary ICD-9 at the two hospitals was tested. Descriptive analysis and histograms were constructed to show if there were variances between primary ICD-9 in LOS in the two hospitals. T-test analyses was run to examine if there was a statistically significant difference in LOS for each matched primary ICD-9. Finally, Alemi's LOS adjusted severity of illness formula was used to examine the differences between severities of patients in the two hospitals. Phase Three of the study used the findings from Phase One and Phase Two to construct a severity of illness adjusted nursing workload measurement method. Recommendations were made based on differences in the severity of illness in the two hospitals. Findings: Phase One data analysis was stopped after descriptive analysis was run because problems with the quality of the data were identified. The results of Phase Two showed there was a statistically significant difference (p < .05) in LOS among 62 percent of the matched primary ICD-9s in the two hospitals. Hospital A had a shorter LOS than Hospital B. Alemi's LOS adjusted severity of illness also indicated among the same ICD-9s, the patients were sicker in Hospital A than in Hospital B. Conclusions: According to study results, average LOS different between hospitals for the patients had the same primary ICD-9s. Patients are sicker if they have the same primary ICD-9s but LOS was shorter. Patients with higher severity rating require more nursing care. Nurses were found to spend more time performing the same task on sicker patients. Based on this conclusion, nursing workload measurement should consider patients' severity when staffing to meet patient required care. Implications: The results of this study will provide a framework for nursing workload measurement and indicate a change in nursing administration in China is needed, informed by scientifically acquired data. It is important to the central government's policy making in China. The severity adjusted measure of this study also add knowledge about the important of considering severity of patients in measuring nursing workload in other countries. Appropriate nurse staffing has the potential to not only improve outcomes but also lower costs.

Repository Posting Date:
26-Oct-2011
Date of Publication:
Jul-2002
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleNursing Workload Measurement for Urban Hospitals in Chinaen_GB
dc.identifier.urihttp://hdl.handle.net/10755/154730-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Nursing Workload Measurement for Urban Hospitals in China</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2002</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">July, 2002</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Liu, Huaping</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Peking Union Medical College</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Assistant Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">huaping_liu@hotmail.com</td></tr><tr><td colspan="2" class="item-abstract">Objectives: The objective of this study was to examine whether and how the severity of illness of patients could be used to adjust nursing workload measurement in two urban hospitals in China. Design: This exploratory study was conducted as three phases. Phase One of the study used time and motion data to examine nursing workload in the two hospitals. Phase Two of the study used ICD-9 data from the same two hospitals to analyze the patient severity levels. Based on the findings from the first two phases, Phase Three of the study proposed a severity adjusted nursing workload measurement framework for urban hospitals in China. Population, Sample, Settings, Years: Phase One of this study used secondary data from a previous project. The data was collected in two urban hospitals in China from 1995 to 1996. Phase two data was collected by the investigator for this study from the same two hospitals' patient record departments. The data contained patients' identification number, all icd-9 codes while was hospitalized, admission date, and discharge date. The data collected was from January 1, 1999 to December 31, 1999. Phase Three of the study used the findings from Phase One and Phase Two of this study to construct a severity of illness adjusted nursing workload measurement method. Concept or Variables Studied Together or Intervention and Outcome Variable(s): Variables included in the Phase One of the study are hospital characteristics, hospital departments, patient demographics (age, gender), patient's level of care, selected nurse demographics (age, years of working experience, educational level, professional title), and GRASP activity time measures. Variables in the Phase Two of the study are patient length of stay and severity of illness. Methods: For the Phase One study, the first step was to identify the range, mean and standard deviation of the time it takes nurse to perform each nursing activity and for nursing activity groups; and to examine task group performed time variation. Next, the degree to which nursing activities and nursing activity groups varied based on nurses' ages, patients' gender, patients' ages, and levels of care was identified. For the Phase Two of the study, in order to analysis the difference in LOS in the two hospitals, first the overall average LOS of the ICD-9s was examined for the two hospitals. Second, the difference between the average LOS for each primary ICD-9 at the two hospitals was tested. Descriptive analysis and histograms were constructed to show if there were variances between primary ICD-9 in LOS in the two hospitals. T-test analyses was run to examine if there was a statistically significant difference in LOS for each matched primary ICD-9. Finally, Alemi's LOS adjusted severity of illness formula was used to examine the differences between severities of patients in the two hospitals. Phase Three of the study used the findings from Phase One and Phase Two to construct a severity of illness adjusted nursing workload measurement method. Recommendations were made based on differences in the severity of illness in the two hospitals. Findings: Phase One data analysis was stopped after descriptive analysis was run because problems with the quality of the data were identified. The results of Phase Two showed there was a statistically significant difference (p &lt; .05) in LOS among 62 percent of the matched primary ICD-9s in the two hospitals. Hospital A had a shorter LOS than Hospital B. Alemi's LOS adjusted severity of illness also indicated among the same ICD-9s, the patients were sicker in Hospital A than in Hospital B. Conclusions: According to study results, average LOS different between hospitals for the patients had the same primary ICD-9s. Patients are sicker if they have the same primary ICD-9s but LOS was shorter. Patients with higher severity rating require more nursing care. Nurses were found to spend more time performing the same task on sicker patients. Based on this conclusion, nursing workload measurement should consider patients' severity when staffing to meet patient required care. Implications: The results of this study will provide a framework for nursing workload measurement and indicate a change in nursing administration in China is needed, informed by scientifically acquired data. It is important to the central government's policy making in China. The severity adjusted measure of this study also add knowledge about the important of considering severity of patients in measuring nursing workload in other countries. Appropriate nurse staffing has the potential to not only improve outcomes but also lower costs.<br/><br/></td></tr></table>en_GB
dc.date.available2011-10-26T13:13:55Z-
dc.date.issued2002-07en_GB
dc.date.accessioned2011-10-26T13:13:55Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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