6.50
Hdl Handle:
http://hdl.handle.net/10755/304122
Category:
Full-text
Type:
Presentation
Title:
A Computation Model Quantifying Nurse Staffing to Care Needs
Author(s):
Pitk'aho, Taina; Vehvil'inen-Julkunen, Katri; Kouri, Juhani; Miettinen, Merja
Lead Author STTI Affiliation:
Non-member
Author Details:
Taina Pitk'aho, PhD, RM, taina.pitkaaho@uef.fi; Katri Vehvil'inen-Julkunen, PhD, RN, RM; Juhani Kouri, MD; Merja Miettinen, PhD, RN, RM;
Abstract:

Session presented on: Wednesday, July 24, 2013

Purpose: The computational model for nurse staffing was innovated in the Nurse Staffing Management Development (NSMD) project as part of the B11 project designing a new building to the Kuopio University Hospital in Finland. Problems in existing facilities, decreasing nursing staff, and increasing demands of caring for an ageing population formed the background for the B11 project. The purpose of the NSMD project was to define nurse staffing needs in units that will move into the new building in 2015.'

Methods: Data consisted of information on 108'864 patient episodes (inpatient and outpatient visits, procedures or deliveries) and administrative information on 464 nurses. The data were collected in 15 units. The data on the patient episodes were used in determining care needs. The WHO's Workload Indicators of Staffing Need (WISN) tool was applied in computing the available working time of nurses. Both subjects, the care needs and the nurse resources, were transformed into hours. The basic formula for the unit's computational nurse staffing need was: [(need of care* acuity coefficient) / (available working time of nurses)]. The computational nurse staffing need was proportioned to the unit's number of nurse vacancies. The ratio provided information on the usage level of nurse resources in care processes.

Results: When the ratio was below 80'85 %, the unit's nurse staffing was considered adequate, and when it was between 85'100 % it indicated a call for developing the processes. The units' ratio of nurse staffing needs and vacancies varied between 43.7'107.3 %. In all but one unit, there were enough nurses to carry out units' scenarios in the new premises.

Conclusion: The ratio of the computational nurse staffing need and vacancies does not in itself change anything, but it offers transparent and comparable information for planning, following up, and evaluating nurse staffing.

Keywords:
human resources management; nurse staffing; computation model
Repository Posting Date:
22-Oct-2013
Date of Publication:
22-Oct-2013 ; 22-Oct-2013
Conference Date:
2013
Conference Name:
24th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Prague, Czech Republic
Description:
24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.language.isoenen
dc.type.categoryFull-texten
dc.typePresentationen
dc.titleA Computation Model Quantifying Nurse Staffing to Care Needsen
dc.contributor.authorPitk'aho, Tainaen
dc.contributor.authorVehvil'inen-Julkunen, Katrien
dc.contributor.authorKouri, Juhanien
dc.contributor.authorMiettinen, Merjaen
dc.contributor.departmentNon-memberen
dc.author.detailsTaina Pitk'aho, PhD, RM, taina.pitkaaho@uef.fi; Katri Vehvil'inen-Julkunen, PhD, RN, RM; Juhani Kouri, MD; Merja Miettinen, PhD, RN, RM;en
dc.identifier.urihttp://hdl.handle.net/10755/304122-
dc.description.abstract<p>Session presented on: Wednesday, July 24, 2013</p><b>Purpose: </b>The computational model for nurse staffing was innovated in the Nurse Staffing Management Development (NSMD) project as part of the B11 project designing a new building to the Kuopio University Hospital in Finland. Problems in existing facilities, decreasing nursing staff, and increasing demands of caring for an ageing population formed the background for the B11 project. The purpose of the NSMD project was to define nurse staffing needs in units that will move into the new building in 2015.' <p><b>Methods: </b>Data consisted of information on 108'864 patient episodes (inpatient and outpatient visits, procedures or deliveries) and administrative information on 464 nurses. The data were collected in 15 units. The data on the patient episodes were used in determining care needs. The WHO's Workload Indicators of Staffing Need (WISN) tool was applied in computing the available working time of nurses. Both subjects, the care needs and the nurse resources, were transformed into hours. The basic formula for the unit's computational nurse staffing need was: [(need of care* acuity coefficient) / (available working time of nurses)]. The computational nurse staffing need was proportioned to the unit's number of nurse vacancies. The ratio provided information on the usage level of nurse resources in care processes. <p><b>Results: </b>When the ratio was below 80'85 %, the unit's nurse staffing was considered adequate, and when it was between 85'100 % it indicated a call for developing the processes. The units' ratio of nurse staffing needs and vacancies varied between 43.7'107.3 %. In all but one unit, there were enough nurses to carry out units' scenarios in the new premises. <p><b>Conclusion: </b>The ratio of the computational nurse staffing need and vacancies does not in itself change anything, but it offers transparent and comparable information for planning, following up, and evaluating nurse staffing.en
dc.subjecthuman resources managementen
dc.subjectnurse staffingen
dc.subjectcomputation modelen
dc.date.available2013-10-22T20:29:35Z-
dc.date.issued2013-10-22-
dc.date.issued2013-10-22en
dc.date.accessioned2013-10-22T20:29:35Z-
dc.conference.date2013en
dc.conference.name24th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationPrague, Czech Republicen
dc.description24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.en
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