Journal of Nursing Management, 2012
Nurse turnover in New Zealand: costs and relationships with
staffing practises and patient outcomes
NICOLA NORTH P h D , R N 1, WILLIAM LEUNG B A ( H o n s ) M S c 2, TONI ASHTON
4
5
6
P h D , FRANCES HUGHES D N u r s , R N and MARY FINLAYSON P h D , R N
PhD
3
, ERLING RASMUSSEN
Associate Professor, University of Auckland, Auckland, 2Research Fellow, University of Auckland, Auckland,
Professor, University of Auckland, Auckland, 4Professor, Auckland University of Technology, Auckland, 5Visiting
Professor University of Sydney and Adjunct Professor, Auckland University of Technology, Auckland and 6Associate
Professor, University of Auckland, Auckland, New Zealand
1
3
Correspondence
Nicola North
School of Population Health
University of Auckland
Private Bag 92019
Auckland 1142
New Zealand
E-mail: n.north@auckland.ac.nz
N O R T H N . , L E U N G W . , A S H T O N T . , R A S M U S S E N E . , H U G H E S F . & F I N L A Y S O N M . (2012)
Journal of Nursing Management
Nurse turnover in New Zealand: costs and relationships with staffing practises
and patient outcomes
Aims To determine the rates and costs of nurse turnover, the relationships with
staffing practises, and the impacts on outcomes for nurses and patients.
Background In the context of nursing shortages, information on the rates and costs
of nursing turnover can improve nursing staff management and quality of care.
Methods Quantitative and qualitative data were collected prospectively for
12 months. A re-analysis of these data used descriptive statistics and correlational
analysis techniques.
Results The cost per registered nurse turnover represents half an average salary.
The highest costs were related to temporary cover, followed by productivity loss.
Both are associated with adverse patient events. Flexible management of nursing
resources (staffing below budgeted levels and reliance on temporary cover), and a
reliance on new graduates and international recruitment to replace nurses who left,
contributed to turnover and costs.
Conclusions Nurse turnover is embedded in staffing levels and practises, with costs
attributable to both. A culture of turnover was found that is inconsistent with
nursing as a knowledge workforce.
Implications for nursing management Nurse managers did not challenge flexible
staffing practices and high turnover rates. Information on turnover and costs is
needed to develop strategies that retain nurses as knowledge-based workers.
Keywords: costs, health services research, nurse turnover, staffing practices
Accepted for publication: 2 December 2011
Introduction
Internationally, there is increasing recognition of the
cost of nursing turnover and the impact on nurses and
DOI: 10.1111/j.1365-2834.2012.01371.x
ª 2012 Blackwell Publishing Ltd
patients (Jones 1990a, Hayes et al. 2006, OÕBrien-Pallas
et al. 2006). Studies in Canada (OÕBrien-Pallas et al.
2008, 2010), Australia (Duffield et al. 2009) and the USA
(Jones 2005, 2008) reflect concerns about managing the
1
N. North et al.
significant costs of nurse turnover, its impacts and the
widespread use of temporary cover to address staff
shortages.
Research into nursing turnover in New Zealand took
place in a context of long-standing nursing shortages and
a tight nursing labour market, following years of deteriorating employment conditions and stagnation of pay
(North 2010). A pilot study was conducted in 2001 to
test a costing methodology (OÕBrien-Pallas et al. 2006); it
established that turnover-related costs were seldom
available (North & Hughes 2006). The first substantive
study was a national survey in 2002 of directors of
nursing in public hospitals, conducted to identify turnover rates and nursing workforce strategies. The survey
found that despite concerns about turnover and shortages, actual turnover rates were seldom known (North
et al. 2005). A national study of costs of nurse turnover in
New Zealand was then conducted in 2004–2006, using a
comparable research protocol to a pan-Canadian study
(OÕBrien-Pallas et al. 2010), but with a more limited
scope. The aims of that study were to determine turnover
rates, direct and indirect costs of turnover, relationships
between costs of turnover and staffing practices, and
relationships between the cost of turnover with outcomes
for nurses and patients. Aspects of the study have been
reported previously (North & Hughes 2006, North et al.
2007). Recently, the data have been re-analysed, focusing
on costs and the practise of staffing below budgeted
levels, turnover and the use of temporary cover to manage nurse resources flexibly, and the impacts of staffing
practices and costs of turnover on nurses and patients.
While the nursing turnover study was being conducted, a national employment agreement covering
nurses working in public hospitals led to an average
increase in nursesÕ pay of 7%. Buchan & North (2009)
found an improvement in most nursing labour market
indicators in the 4 years following the employment
agreement. From 2008 onwards, in recessionary conditions with high unemployment, shortages have all but
disappeared, and nurse staffing practices previously
employed in similar economic conditions, and believed
to be efficient but that arguably contributed to shortages, have re-emerged. This article examines the role of
staffing practices in turnover, and the associated impacts and costs, contributing new insights into the
phenomenon of turnover as embedded in nurse management practices and culture.
Previous research on costs of nurse turnover
Nurse turnover has attracted increasing interest in the
context of nursing shortages, an ageing workforce and
2
concerns over workforce stability. Nurse turnover
contributes the highest total organizational costs because of workforce size, although cost per nurse turnover was lower than per higher-paid employee
(Waldman et al. 2004). Data on rates of nurse turnover
and its costs are important to inform health organization strategy and management, yet organizations do not
always report such information (Jones 1990a,b, 2004,
Waldman et al. 2004).
A review of nurse turnover literature (Hayes et al.
2006) revealed a considerable body of research on the
determinants of turnover and a growing interest in
economic and systems impacts. Methodological challenges hamper comparisons, including inconsistent
definitions, inclusions and exclusions, and different
costing methodologies. In addition to the direct turnover costs (related to recruitment, hiring and vacancy
cover), some methodologies have addressed the indirect
costs that capture decreased productivity of new
employees and constraints on maintaining service
levels (Jones 2005, OÕBrien-Pallas et al. 2010). Some
researchers attempt to balance costs against savings, for
example related to a vacancy (Buchan & Seccombe
1991), and against retention strategies (Jones 2004).
Different approaches to conceptualizing costs and
costing methodologies have contributed to widely
varying estimates of turnover costs. Two studies in the
UK, cited by Gray et al. (1996), estimated the costs of
replacing a nurse in 1994–1995 to be £494 and £5998,
respectively. Administration costs were modest, but
those costs rose twelvefold when temporary replacement costs and lost productivity of new employees were
included. Studies cited by Jones (2004) reported cost per
nurse turnover in the USA to be between US$22 000
and US$64 000, with the variation being attributed to
differing costing methodologies. The highest costs arose
from the use of temporary cover for vacancies and
shortages, followed by costs of orientation and training
and productivity loss (Jones 2004, 2005, 2008).
Jones (1990b) costing methodology calculated costs
in 1988 as US$10 000 per nurse. In 2002, when productivity loss was added, costs rose to between
US$62 100 and US$67 100 (Jones 2005), and when
recalculated for inflation the equivalent cost in 2007
was between US$82 032 and US$88 086 (Jones 2008).
Jones (2005, 2008) did not account for the costs of
impacts of nursing turnover, such as on patients, and
subsequently highlighted this as an important avenue
for research. OÕBrien-Pallas et al. (2010) did include
those impacts in a Canadian study conducted in 2005–
2006, and found that higher turnover rates were associated with an increased likelihood of medical error.
ª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
Nurse turnover in New Zealand
The average cost per nurse turnover was CAN$25 000
(OÕBrien-Pallas et al. 2008), with highest costs related
to temporary replacement and initial decreased productivity of replacements. Hierarchical linear regression
(OÕBrien-Pallas et al. 2010) showed that high turnover
rates were associated with a decline in both mental
health and job satisfaction among nurses.
Recent developments in nurse turnover research
conceptualize costs of nursing turnover as human capital costs (Jones 2004), and health systems costs
(OÕBrien-Pallas et al. 2006, 2010). Nurses have highvalue knowledge and skills that are related to productivity and human capital theory draws attention to the
hidden costs associated with the loss of the human
capital, and losing the value of investment in nurses
who leave (Jones 2004). Health systems costs arise from
closed beds and patient deferrals, and the impacts of
turnover on outputs and outcomes. These affect patients (adverse events and satisfaction with care) and;
nurses (injury, sickness, job satisfaction and further
turnover) (OÕBrien-Pallas et al. 2010).
Waldman et al. (2004), Jones & Gates (2007) and
Jones (2008) note that as turnover generally represents
a non-value added component of an organizational
budget, accounting for the costs of turnover would
support the case for retention. While the overall costs
and impacts of turnover are becoming better understood, and research methodologies more comprehensive, research also needs to focus on the relationships
between the costs of turnover and the contexts in which
nurses work, including staffing practices.
Materials and methods
Design
Using a prospective design, quantitative and qualitative
data were collected. The study protocol was previously
pilot tested and conceptualized using OÕBrien-PallasÕ
Patient Care System and Nurse Turnover model
(OÕBrien-Pallas et al. 2006). The unit of analysis was
the nursing unit (ward). Quantitative data were collected over 12 consecutive months per participating
unit. Qualitative data describing nursing workforce
practices and working contexts were collected at the
start and end of the study.
Definitions and inclusion criteria
Nurse turnover was defined as the process by which
nurses leave or transfer from their primary employment
position in health services (Jones 1990a). To limit varª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
iation, only general medical and surgical units in public
hospitals were included. Registered nurses (RNs) in
staff positions were included; nurse managers and specialists, second-level nurses and unregulated assistants,
were excluded. Data were collected on all RNs attached
to participating units who left their primary employment position for whatever reason, including retirement, resignation and internal transfer. Costs were
based on a modified cost of turnover (direct and indirect) checklist (Buchan & Seccombe 1991), piloted by
OÕBrien-Pallas et al. (2006), that disaggregated turnover costs into separately identified items, grouped under four sequential processes: separation; temporary
replacement; recruitment and selection; induction and
training.
Recruitment of units and completion rate
Randomized selection from a medical and a surgical
pool of units (n = 156) yielded a sample of 22 units
(14% of eligible units) spread over 11 of New ZealandÕs
21 district health boards, the owners of public hospitals.
The research was approved by Northern Y Regional
Ethics Committee (lead committee) and six relevant
regional health ethics committees (AKY/03/10/254).
Data collection
Data were collected in the original study between 2004
and 2006, and included: full-time equivalent (FTE) RN
numbers; temporary staffing costs; productivity loss of
permanent staff related to temporary staff; overtime
costs; costs of preceptors and other costs related to
training new RN employees; decreased productivity
(estimated in three broad productivity bands) of new
employees, until they met the expected productivity for
their level; RN absence; work-related nurse incidents
(e.g. injuries); and nurse-sensitive adverse patient incidents. Having previously established that turnoverrelated costs were seldom available (North & Hughes
2006), a series of electronic instruments were developed. Hospital employees (principally charge nurses,
but also new graduate coordinators, occupational
health and safety/infection control staff) were trained in
the instruments and supplied data each month. All
spreadsheet data sets submitted by hospital personnel
were independently verified for accuracy. Qualitative
data about organizational contexts and staffing practices were systematically collected by the investigators
when implementing the study, and again when provisional results were returned to key informants for verification and feedback.
3
N. North et al.
Analysis
The purpose of the re-analysis was to identify the
relationships between variables related to turnover,
costs and staffing practices, and, where possible, to
explain results by drawing on qualitative data. Data
were extensively checked and entered into SPSS v17
(SPSS, IBM Corporation, Armonk, NY, USA). Results
were analysed both separately for each unit, and
nationally. To calculate the turnover rate, the FTE annual number of leavers was divided by the annual actual
FTE · 100. Quantitative data were analysed using
descriptive statistics and correlational analysis techniques. Throughput variables tested included: nurse
staffing practices, deviation below budgeted RN levels,
use of overtime and temporary staff, turnover rate and
productivity loss. Output variables included patient
adverse events, nurse incidents and sick leave. Variables
were adjusted for resourced beds where applicable.
SpearmanÕs rank order correlation was used when the
assumptions required for PearsonÕs product-moment
correlation were violated. All tests were two-tailed.
Qualitative data were analysed thematically to augment
and explain quantitative results.
Results
At the end of the study 19 of 22 wards had completed
12 monthsÕ data collection, representing a response rate
of 86.4%, producing 228 data samples for analysis.
Quantitative data are reported in Tables and numerically, and qualitative explanations reported textually.
All costs are reported in 2006 New Zealand dollars.
Direct and indirect turnover costs
Table 1 (based on OÕBrien-Pallas et al. 2006) sets out
the direct and indirect costs associated with RN turnover. Costs are reported per nurse turnover, distinguishing between costs related to new employees and
leavers. The estimated average total cost per RN
turnover is $23 800, comprising $3 878 per new employee and $19 922 per leaver.
Qualitative data allow us to explain some costs.
Termination costs, including management time and
leaving rituals, are minimal because in New Zealand
special payments such as long-service bonuses are not
offered and unused sick leave is not paid out. Recruitment and hiring costs, including management time,
uniform supply and health screening, are also low and
relocation allowances seldom covered. Costs associated
with orientation and training per new employee are
higher and include organizational orientation, unit
orientation, short courses (for credentialing) and trainer
costs. The highest costs were associated with temporary
cover and new employees (including loss of productivity
and preceptor costs). These costs were also associated
with staffing practices, explained further below.
Costs associated with productivity loss
Table 2 shows the national average cost per category of
new employee. Costs included are those associated with
new employee productivity loss and preceptor time,
until expected productivity for the level of appointment
is reached, and those of recruitment and hiring. These
figures also indicate that 83% of replacement nurses are
recruited from outside the organization (the combined
total of new graduates, overseas-trained and recruits
from elsewhere in New Zealand).
Orientation and training of new employees make up
the highest indirect turnover cost and include costs of
lost productivity until 100% productivity for their level
is reached, and preceptor-related productivity loss.
These costs vary considerably according to the category
of new employee, reflecting nursing experience and
familiarity with the organization, with the highest
productivity losses incurred by the two categories most
frequently recruited to replace nurses who have left:
new graduate nurses and overseas-trained nurses. The
Table 1
Direct and indirect registered nurse (RN) turnover costs (rounded, in NZ$)
Per new employee variables
Direct costs
Indirect costs
Total costs
4
Advertising/recruitment
Hiring process
Subtotal
Preceptor costs
Decreased initial productivity
of new employee
Other orientation/training
Subtotal
Per new employee
Per leaver variables
236
499
735
1518
1447
177
3142
3878
Totals per turnover
Temporary cover costs
19 730
Subtotal
Termination and separation
19 730
192
–
Total direct costs
192
19 922
Total indirect costs
Per RN turnover
Subtotal
Per leaver
20 465
–
3334
23 800
ª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
Nurse turnover in New Zealand
Table 2
National average training and
orientation costs for a new employee
by category to reach 100%
productivity and total cost to join
New employee
Rank category
1
2
3
4
5
*
New graduate
Overseas trained
NZ trained – external to hospital
Internal transfer
Return to ward
Return to nursing
Totals/averages
Number
%
107
62
51
32
8
5
265
40.4
23.4
19.2
12.1
3.0
1.9
100.0
Costs to reach 100% Total cost per new
employee to join (NZ$)
productivity (NZ$)
4277
3426
1978
1059
941
4055
3142
4804
4467
3019
1711
941
4055
3878
*Numbers too low to rank.
highest cost was for taking on a new graduate at $4804,
with overseas-trained nurses nearly as expensive at
$4467. New Zealand-trained nurses (recruited by the
hospital from elsewhere) were next at $3019. The least
expensive options were a nurse returning to a unit, at
$941, and internal transfer, at $1711. These appointments avoided costs associated with relocation such as
uniform supply, health screening and organizational
orientation. However, an internal transfer may simply
shift those turnover costs.
Temporary cover costs and staffing practices
The main contributor to turnover costs was temporary
cover, incorporating costs of temporary staff, overtime,
clerical time and time of experienced staff to arrange
cover, and productivity loss related to permanent staff
assisting temporary staff. Temporary cover is used not
only to cover a vacancy until it is filled, but also to cover
existing shortages, sick leave, increased demand and
shortages for other reasons. It was not possible to
determine the amount of temporary cover costs related
only to turnover, as the purpose for temporary cover
related to specific requests was not recorded.
The data illustrate the practise of staffing at levels
below budget, a practise widely used to maximize the
flexible and efficient use of nursing resources and budget. The average number of budgeted RN FTE was close
to the average number of resourced beds. There was an
average of 25.57 resourced beds per unit (range 19.08–
47.33). The mean occupancy rate was 91.8%. The
average budgeted RN staffing per unit was 25.84 FTE
but as shown, in Table 3, the actual FTE was 24.07, a
mean difference of )1.77 (range )9.7 to 4.7).
Baseline data showed 497.12 RN FTE were budgeted
in the 19 units and 450.91 RN FTE employed, giving an
average of 2.43 RN vacancies per unit. During the
12-month data collection period, 192.6 RN FTE left
their primary unit of employment, replaced by 265 new
RN FTE. There were no new positions established
during the study period, so some unfilled vacancies at
ª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
Table 3
The average budgeted and actual full-time equivalent (FTE)
FTE
Mean
Range
Budgeted
Actual
Difference between
budgeted and actual
25.84
24.07
)1.77
(13.93–46.2)
(11.1–42.1)
()9.7 to 4.7)
the start of data collection were filled during the period.
The average annual turnover rate for the 19 participating units was 44.3% (range 13.7–90.9%).
Significant relationships between variables
Relationships between variables related to staffing
practices and the annual cost of turnover, with outcomes
for nurses and patients, were tested using SpearmanÕs
rank order correlation (Table 4). Nurse outcomes were
measured as turnover, sick leave in days and adverse
incidents such as injury. Reported sick leave days per
year ranged from 70 to 603 per unit, an average of 266
per unit. There were a total of 210 nurse injuries, an
average of 11 per ward (range 1–49 per year). Patient
outcomes were measured as nurse-sensitive events; the
total number of patient adverse events reported was 993,
an average of 52.6 per ward. The largest of these was
falls with injury (319) followed by medication administration errors (222). Non-percentage variables were divided by the number of resourced beds in each unit to
take account of the different size of units in the study.
Table 4 shows that sick leave days are positively and
significantly correlated with the cost of temporary cover
(28% shared variance). The amount spent on temporary
cover is correlated with the total patient adverse outcomes (27% shared variance). Adverse patient events are
also correlated with new employee productivity loss
(31% shared variance). Finally, the turnover rate is
negatively and significantly correlated with the percentage deviation from budgeted FTE (34% shared variance).
The other 12 relationships were not significant.
5
N. North et al.
Per cent deviation from budgeted FTE
Overtime spent*
Temporary cover spent*
New employee productivity loss
(including preceptor costs)*
Nurse
incidents*
Turnover
as % of actual FTE
Sick
leave*
Patient
adverse
events*
0.098
)0.060
)0.027
0.041
)0.586
0.096
0.033
0.323
)0.147
)0.040
0.526à
0.398
)0.233
)0.232
0.516à
0.558à
Table 4
SpearmanÕs rank order correlation
between measures of cost of
turnover/staffing practices and nurse/
patient outcomes
FTE, full-time equivalent.
*Per resourced bed. Sample size n = 19.
Correlation is significant at the 0.01 level (two-tailed).
à
Correlation is significant at the 0.05 level (two-tailed).
Discussion
Turnover rates
Nurse turnover rates were 44.3% – more than double
that of Canada (19.9%; OÕBrien-Pallas et al. 2010) and
the USA (19.2%; Jones 2005). The turnover rate cannot
be generalized beyond the sample (14% of general
medical and surgical units in public hospitals in a
12-month period). New graduate nurses are included in
unit staffing and substantially contribute to both
staffing and turnover. Nurse managers displayed an
indifference to turnover, conveying an acceptance and
tolerance of high turnover rates. Their view of turnover
as normative reflected a Ôturnover cultureÕ, reported in
relation to low-skilled workers in the hospitality
industry (Davidson et al. 2010).
Costs
The New Zealand study adds to the evidence internationally that nurse turnover represents a substantial cost
to hospitals which, if reduced, would potentially free up
resources for the delivery of health care. By using a
similar turnover costing methodology as in the UK
(Buchan & Seccombe 1991), Canada (OÕBrien-Pallas
et al. 2008) and the USA (Jones 1990a), the relative
contribution of types of cost to total costs can be
compared. As in those studies, temporary cover costs
represented the highest costs followed by orientation/
training and productivity loss. Orientation and training
costs were low in New Zealand compared with a study
in the USA (Waldman et al. 2004), reflecting differences
between countries in investment in on-job training.
Comparing the monetary value of turnover costs
across countries and health systems is more problematic
because contexts, such as health systems, currencies and
economies, affecting salaries and costs of living, differ.
Jones (2004) and OÕBrien-Pallas et al. (2008, 2010)
reported a cost per nurse turnover of about $22 000 in
the local currency (USA and Canadian dollars, respec6
tively). While these costs are similar to New Zealand
figures ($23 800) in absolute dollar terms, it is more
meaningful to compare countries by calculating the cost
of turnover as a proportion of RN salaries. However,
few studies report costs in this way. In five studies cited
by Jones (2004) the ratio of turnover against salary was
calculated as between 0.37 and 1.6. The mean cost in
New Zealand of one RN turnover was about half an
annual RN salary (in 2005 an average base salary was
$47 000). This suggests that for every two turnovers
avoided, shortages could be reduced by one RN.
However, because information on costs of turnover was
unknown to nurse managers, it could not be used
strategically to retain nurses or reduce shortages.
Because data on nurse turnover and its costs were not
routinely and systematically collected by public hospitals, data had to be collected from multiple sources.
This introduces the possibility that data may have been
defined differently, giving rise to possible variation.
Jones (1990a, 2004) and OÕBrien-Pallas et al. (2010)
reported similar problems in the USA and Canada. As
the research proceeded, we concluded that although a
validated costing methodology was used consistently,
some of the costs captured were related to staffing
practices as well as turnover.
Nurse staffing practices
Two staffing practices contributing to costs of turnover
were: the flexible use of the nursing resource (staffing
units below budgeted levels and reliance on temporary
cover); and the reliance on new graduates and international recruitment to fill vacancies. Flexible staffing was
used strategically by the organization to manage nurse
shortages, and to reduce fixed labour costs. The results
showed that, while this practise may appear to be an
efficient way of controlling staffing costs, there are
indirect costs to the organization associated with the
costs of turnover, temporary cover and adverse patient
events (North et al. 2007). Employing new graduates
ª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
Nurse turnover in New Zealand
on starting salary levels was attractive to cashrestrained organizations. International recruitment
highlights the severe recruitment difficulties that
prevailed (Zurn & Dumont 2008, North 2010).
Staffing practices intended to be efficient and offering
maximum flexibility may have the opposite effect.
Staffing below budgeted FTEs is attractive as a
management tool, as it is easy to monitor and control
the number of FTEs. However, the resulting increase
in costs from increased turnover and increased
adverse patient events makes it likely that this is the
more costly option. The analysis found a significant
association between nurse turnover and deviation
of actual FTE below budgeted FTE. Turnover is one
reason for the use of temporary cover, but although no
association was found between rates of turnover and
costs of temporary cover, there was a strong and
significant relationship between the costs of temporary
cover and increased sick leave. A UK study also found a
positive association between the use of temporary staff
and sick leave (Hurst & Smith 2010). The association
between temporary cover costs and sick leave suggests
possible relationships among staffing practices, work
stress and sick leave.
Both costs of temporary cover and costs associated
with productivity loss of new employees were significantly associated with adverse patient incidents. Patient falls with injury, followed by medication error,
were the highest adverse events reported in New
Zealand. A study in the USA also found positive
associations at unit level between temporary RN
staffing (at 15% or greater than total hours) and
patient falls and medication error (Bae et al. 2010).
Aiken & Xue (2007) disagree that use of temporary
nurses compromises quality of care; the more important variable was the level of RN involvement in direct patient care. In our study, however, costs of RN
temporary cover were associated with a greater risk
of adverse patient outcomes.
With temporary cover shown in New Zealand, and in
other studies, to be more costly and less safe than permanent cover (OÕBrien-Pallas et al. 2008, 2010, Bae
et al. 2010), it would be more cost-effective and safer to
employ up to the budgeted level. Budgeted FTEs already
incorporate annual leave, sick leave and other leave
entitlements such as bereavement and study leave. Temporary cover would then be used only to cover vacancies
arising from turnover and unplanned contingencies,
including parental leave, major illness and spike in demand other than expected seasonal flows.
Of particular concern in the New Zealand study was
that experienced nurses who left the participating units
ª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
were being replaced largely by nurses with least experience in nursing (new graduates) or who were unfamiliar
with the New Zealand context of nursing (overseastrained nurses). Combined, these two categories made up
nearly two-thirds of all new employees (63.8%). In
addition, these two categories cost organizations the
most in lost productivity. Costs of productivity loss were
significantly associated with adverse patient events, an
added cost to the organization, as well as to the patients
themselves. Other researchers, including Waldman et al.
(2004) and Jones (2005, 2008), have also attributed the
highest turnover costs to lost productivity.
Costs of staffing practices or costs of turnover?
Although a comparable costing methodology was used
as for other studies (Buchan & Seccombe 1991, Jones
2005, OÕBrien-Pallas et al. 2010), and some costs were
clearly linked to turnover, other costs were also related
to staffing practices. The combined costs associated
with termination and separation of leavers, and recruitment and hiring of replacements, contribute to <4% of
per nurse turnover costs, and are unequivocally related
to turnover. The cost of lost productivity contributed
another 13% to per nurse turnover costs, but in the case
of new graduates it could be argued that preceptors are
professional development costs related to entry to
practise and not only to turnover. If new graduates were
supernumerary (Cardona & Bernreuter 1996), then
productivity costs related to turnover could be differentiated, but in this study new graduates filled existing
vacancies and so were also related to turnover.
The gap between budgeted and actual FTEs suggests
that the high costs associated with temporary cover cannot
be attributed solely to turnover. Temporary cover is also
associated with flexible management of the nursing resource. Temporary cover was one of the few cost categories where data were both readily available and accurate,
but temporary cover was commonly used to manage
flexible staffing practices as well as vacancies and other
absences. Because the reasons for temporary cover requests were not recorded, we could not determine the
proportion to cover a vacancy, or to cover a nurse shortfall
for other reasons such as sick leave or increased demand.
Cost savings from vacancies theoretically offset
temporary cover costs (Buchan & Seccombe 1991), but
costing methodologies do not consistently allow for this.
Jones (2004) defines vacancy costs as Ôcosts incurred while
attempting to fill open positions that result from RN
turnover and staff shortagesÕ. We also included all temporary cover costs in our analysis. Our correlational analysis
supported participantsÕ feedback, showing a significant
7
N. North et al.
association between sick leave and temporary cover, but
not between temporary cover and turnover rates. Correlations also showed that the use of temporary cover was
significantly associated with adverse patient events.
The study highlighted that nursing workforces at unit
level, characterized by churn (Duffield et al. 2009), are
unstable. We found widespread nurse shortages,
reflecting intentional staffing of nursing units below
budgeted levels, and a reliance on temporary cover to
meet shortfalls. There were high rates and tolerance of
turnover, and a reliance on new graduates and international recruitment to fill vacancies. Our data do not
allow us to claim causal relationships, but we suggest
the following possible mechanisms (based on data reported and discussed above).
The turnover rate is significantly and negatively correlated with the percentage deviation from budgeted
FTE. This may be because shortages and managing staff
levels below budgeted FTE contribute to stress, sickness, low job satisfaction and morale, and thus high
turnover, or because high turnover and difficulties in
recruiting staff compound shortages. Temporary cover
costs, which are associated strongly with sick leave
cover, also contribute to sick leave. Permanent staff are
under pressure to cover staff shortages, work overtime
and support temporary staff unfamiliar with the unit
and its patient population. The costs of temporary cover
are also significantly and positively associated with
adverse patient events, which are likely to have an impact on nurse morale and so contribute to turnover.
Costs of new employee productivity directly arising
from turnover are also significantly and positively
associated with adverse patient events.
Conclusion and implications for nursing
management
This study supports the growing international body of
evidence that nurse turnover represents a non-value added component of health organization budgets. The results also lend weight to an emergent focus of turnover
research on the impacts of turnover on patients, nurses
and health systems. As in earlier research, the two highest
costs (temporary cover and new employee productivity
losses) are both associated with adverse patient events.
The present analysis goes further by highlighting the
complexities of accurately distinguishing between those
costs that are specific to turnover, and those that reflect
accepted staffing practices, even when a robust costing
methodology is used. In the NZ study, there were fewer
RNs than budgeted in most units throughout the
12-month data collection period. However, whether
8
these represented unfilled vacancies and shortages was
disputed. In addition to covering vacancies, temporary
cover was used strategically to balance demand and
supply of nurses, and included sick leave and other
temporary absences that the budgeted FTE is expected
to cover. This is also one of the few studies to report a
positive correlation between recruitment patterns
(where the largest proportion of hires are new graduates), and costs of productivity loss, and between the
latter and adverse patient events. Costs of productivity
loss also reflect costs of professional development. Our
experiences illuminate the challenges of nurse turnover
research, as the phenomenon of turnover is so intertwined with staffing practices and culture.
An unsettling conclusion of our study is evidence of a
Ôculture of turnoverÕ, which is found in other industries
in relation to low-skilled workers (Davidson et al.
2010). Human resource specialists estimate turnover
costs to be in the range of 50–150% of annual salary
(De Cieri & Kramar 2004). In our study, the estimated
cost of replacing an RN at about half an annual salary
was at the low end and suggests that hospitals and
health services are geared for high nurse turnover
rates. A culture of turnover, and staffing less than
budgeted levels, reflects an accepted view of a nurse as a
replaceable unit of labour. Furthermore, a culture of
turnover is inconsistent with nursesÕ high knowledge
value and indicates a lack of recognition of the intangible costs to organizations when employees who work
with knowledge and information leave (Jones 2004).
There was strong evidence that nurse managers and
leaders lacked information on turnover rates and costs,
and so did not challenge the position of trying to deliver
patient care safely by covering vacancies, shortages and
sick leave with temporary cover, and continually
recruiting new staff. Although turnover was regarded as
normative, unit managers were surprised to learn that
nearly half, and up to ninety percent of their staff nurses
had left during the year. Our analysis has important
implications for nursing management. For nurse managers, the results challenge beliefs that efficient budget
management involves intentional understaffing to reduce
fixed costs, and using temporary cover to increase flexibility. Moreover, while filling vacancies with lower-salaried new graduates may be cheaper, we have shown that
the practise actually costs more. In order to challenge the
assumed benefits of flexible staffing and to develop
effective and sustainable staffing practices and strategies,
nurse managers require information. As a minimum,
regular and accurate information on nurse turnover
rates, the costs of recruiting and training replacement
nurses and expenditure on temporary cover should be
ª 2012 Blackwell Publishing Ltd
Journal of Nursing Management
Nurse turnover in New Zealand
provided by hospital management. Costing methodologies, as used in this and similar studies, can be adapted
for the purposes of collecting the minimum dataset.
The analysis also has implications for nursing leadership, if a return to declining employment conditions, low
morale and shortages in nursing (North 2010) is to be
avoided. There were severe and persistent nurse shortages in New Zealand for two decades, and in tight economic times the pressure is again on the health
workforce to be more cost-effective and productive.
Measures such as nurse substitution and unfilled
vacancies have re-emerged. It is therefore important that
we understand the relationships between FTEs, nursesÕ
health, adverse events, service provision and turnover.
Leadership is needed to refocus strategies from cost
savings to investing in staff, and to nurture cultures and
working environments that retain nurses, as workers
whose knowledge is an asset to the organization.
Source of funding
This research was funded by the Health Research
Council in partnership with the Ministry of Health.
Participating hospitals contributed the time of employees
who collected and submitted data.
Ethical approval
Northern Y Regional Health Ethics Committee AKY/03/10/
254.
Acknowledgements
This paper is part of an international project to examine
the cost of nurse turnover and the impact of turnover on
patient safety and nurse health and safety outcomes.
Co-Principal investigators are Professor Linda O’BrienPallas (University of Toronto, Canada) and Dr. Judith
Shamian (Victoria Nurses Association Canada). Team
members include the following: Dr. Christine Duffield
(University of Technology, Sydney, Australia); Dr.
Heather Laschinger (University of Western Ontario,
London, Ontario, Canada); Dr. Pat Griffin (Health
Canada, Ottawa, Canada); Professor James Buchan
(Queen Margaret University College, Edinburgh, UK);
Dr. Patricia Stone (Columbia University, New York,
NY, USA).
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