Part 1
Identify the type of sampling design used in the following examples
Part 2
Related to the Heikkinen article, consider the following questions and give supporting rationales.
ISSUES AND INNOVATIONS IN NURSING PRACTICE
Prostatectomy patients’ postoperative pain assessment in the recovery
room
Katja Heikkinen MNSc RN
Lecturer, Turku Polytechnic and Department of Nursing, University of Turku, Turku, Finland
Sanna Salanterä PhD RN
Adjunct Professor, Department of Nursing, University of Turku, Turku, Finland
Marjaana Kettu RN
Head of Department, Ophtalmology Clinic, Turku University Central Hospital, Turku, Finland
Markku Taittonen MD PhD
Consultant Anaesthesiologist, Department of Anaesthesiology and Intensive Care, Turku University Central Hospital,
Turku,
Finalnd
Accepted for publication 16 February 2005
Correspondence:
Katja Heikkinen,
Department of Nursing,
University of Turku,
FIN – 20014,
Turku,
Finland.
E-mail: katheik@utu.fi
H E I K K I N E N K . , S A L A N T E R A S . , K E T T U M . & T A I T T O N E N M . ( 2 0 0 5 )H E I K K I N E N K . , S A L A N T E R Ä S . , K E T T U M . & T A I T T O N E N M . ( 2 0 0 5 ) Journal
of Advanced Nursing 52(6), 592–600
Prostatectomy patients’ postoperative pain assessment in the recovery room
Aim. This paper reports a study to assess the usability and use of different pain
assessment tools and to compare patients’ and nurses’ pain assessments in the
recovery room after prostatectomy.
Background. Pain assessment is the first step towards providing adequate pain relief
but poses problems because of the subjective nature of the pain experience and the
lack of quantifiable measurements. Pain tools have been tested in several clinical
settings, but not in the
recovery room.
Methods. Data were collected in the recovery room from 45 consecutive patients
who had undergone prostatectomy by asking them to evaluate their pain intensity
using visual analogue scale, numeric rating scale and verbal expressions. One of two
research nurses measured patients’ pain at regular intervals and at the same time as
the patients. Physiological parameters were also evaluated. Data were analysed as
frequencies and percentages. Sum variables were formed and results were analysed
using Spearman’s rank correlation, Pearson’s correlation and with multiple regres-
sion analysis.
Results. Patients varied in their ability to assess the intensity of their pain using
different tools, but assessments were correlated with each other and with nurses’
estimations. Nurses and patients obtained similar assessments, but nurses both
underestimated and overestimated patients’ pain. Patients’ verbal assessments varied
widely. Patients’ and nurses’ pain assessments showed no association with patients’
pulse or mean arterial blood pressure.
Conclusions. According to our results, it is not totally clear whether pain tools are
usable in the recovery room. This issue calls for further research.
Keywords: nursing, pain, pain measurement, prostatectomy, recovery room
592 � 2005 Blackwell Publishing Ltd
Introduction
Assessing pain in the recovery room is challenging, because
patients are still under sedation. Several tools for pain
assessment have been developed, but their suitability in the
recovery room is largely untested. In this study, we aimed to
evaluate the usability and use of pain assessment tools in the
recovery room.
Background
Relevant articles for the study were retrieved from the
following databases: Cochrane, Medline/PubMed, CINAHL.
The main keywords and their combinations were pain,
postoperative, pain measurement, instrument, prostatectomy,
and recovery room.
Postoperative pain
In this study, pain was defined according to the definition of
the International Association for the Study of Pain: ‘Pain is an
unpleasant sensory and emotional experience associated with
actual or potential tissue damage’ (Merskey & Bogduk 1994,
pp. 209–214). Pain is also regarded as a personal and
subjective experience that should be evaluated by patients
themselves whenever possible (McCaffery & Pacero 2001).
Postoperative pain is an expected outcome for patients
after surgical procedures and it impairs organ functions,
delays mobilization and overall recovery as well as increasing
the risk of postoperative complications (Kehlet 1997, Breivik
1998, Carr & Goudas 1999, Coll et al. 2004a). Nonetheless
there is long-standing evidence of inadequate pain relief, in
spite of increasing treatment options (Boström et al. 1997,
Watt-Watson et al. 2000). Mild pain seems to be common
following radical retropubic prostatectomy (Sall et al. 1997,
Dalpra & Zampieron 1998, Haythornthwaite et al. 1998).
It seems that people are prepared to accept postoperative
pain (Wulf et al. 1998, Dawson et al. 2001, Leinonen et al.
2001). Also, after prostatectomy, patients are very satisfied or
satisfied with their postoperative pain care, and such a
curative operation affects feelings and pain tolerance (Klein
et al. 1996, Worwag & Chodak 1998). Affective distress,
particularly anxiety before surgery, and the use of pain
medication afterwards, may be predictors of chronic pain
following prostatectomy (Haythornthwaite et al. 1998).
Pain assessment
Pain assessment is the first step towards adequate pain
relief. It has two major problems: first, the subjective
nature of the pain experience; and second, the lack of
quantifiable measurements (McGuire 1992, Watt-Watson
et al. 2000). Most prostatectomy patients are old, and as
such may need more time to assess their pain (Simons &
Malabar 1995, Melzack & Wall 1996). Older patients may
receive more attention and pain interventions than younger
patients, and evidence suggests that men might be given
more medication than women (Simons & Malabar 1995,
Yorke et al. 2004).
Information and other support may help patients evalu-
ate their experiences of pain, but the main difficulty is that
different people respond to pain in different ways. Hence,
direct comparisons are therefore impossible, even where the
underlying cause of pain is the same. Verbal assessments
may also be misinterpreted (McGuire 1992, Ferguson et al.
1997).
Pain measurement tools
The use of a simple, valid and reliable pain assessment tool in
the clinical practice would standardize assessment and
contribute to more effective management and evaluation of
pain (Taylor 1997). The most common tools are the visual
analogue scale (VAS) and 0–10 numeric rating scale (NRS)
(Jensen et al. 1986, Carpenter & Brockopp 1995, Coll et al.
2004b), as well as the verbal rating scale (VRS) or verbal
descriptor scale (VDS) (Bondestam et al. 1987). The quan-
titative analysis of the results from these scales is problematic,
because it yields a classification where pain is slotted into
given categories that are defined in advance. However, the
boundary lines between the different categories have not been
verified, which complicates the task of interpreting the results
(Chapman et al. 1985, Bondestam et al.
1987).
Although VAS provides only a unidimensional measure of
pain, its construct validity is good and it can adequately
distinguish between minimal, regular and maximal pain
(Price et al. 1983). Carpenter and Brockopp (1995) conclu-
ded that patients have a tendency to use the middle parts or
the ends of the scales. The VAS is easy to complete: it has
limited use if the patient is too ill to point at the line, if he or
she is unable to conceptualize pain in an abstract fashion
along a line, or if the patient is visually, cognitively or
physically impaired (Kremer et al. 1981, Chapman et al.
1985, Paice & Cohen 1997). The VAS may also be designed
as a red wedge that increases in size towards the right. This
has been found to simplify and clarify the use of the tool
(Zalon 1993).
Problems have also been reported in the use of NRS, but it
is still a useful tool for the purposes of assessing the intensity
of acute pain (Bondestam et al. 1987, Scott 1994, Heid &
Issues and innovations in nursing practice Pain assessment in the recovery room
� 2005 Blackwell Publishing Ltd, Journal of Advanced Nursing, 52(6), 592–600 593
Jage 2002). The NRS offers more alternatives than VDS, but
less than VAS (Paice & Cohen 1997). The problem with
NRS
is that some people have difficulty describing the intensity of
pain by reference to numbers (Scott 1994, Ferguson et al.
1997, De Rond
et al. 1999).
Several studies on cancer patients have proven VAS, NRS
and VRS as valid tools (De Conno et al. 1994, Paice & Cohen
1997), but it was also found that patients did not rate their
pain in a mathematically equivalent way – VAS ratings were
lower than NRS ratings. On the other hand, many studies in
cancer patients have reported positive correlations between
estimations based on VAS and NRS (Carpenter & Brockopp
1995, Paice & Cohen 1997).
The reliability of VAS and NRS has not been widely tested
in surgical patients, and there are no earlier studies set in a
recovery room context. The NRS has been used in an
Australian intensive care unit to measure pain intensity and
pain distress (Ferguson et al. 1997), as well as in the clinical
area of an emergency department (Puntillo et al. 1999).
Sjöström et al. (2000) investigated the pain assessments of
critical care nurses (n ¼ 30), physicians (n ¼ 30) and post-
surgical patients (n ¼ 180) using VAS. Patients’ expressions
seem to be associated with the fact that nurses have
underestimated their pain.
In the recovery room, where patients are often tired and
unwell, it is important that pain assessment is a quick and
easy process with simple and sensitive measures (Jenkinson
et al. 1995), especially with the elderly (Closs 1996).
Analgesics and anaesthetics may influence patients’ aware-
ness and their ability to assess pain after operation (Bowman
1994). With VAS and NRS pain assessment can easily be
repeated, allowing for accurate estimates of the effectiveness
of pain management (Scott 1994).
Nurses’ assessments
Nurses are especially inclined to underestimate severe pain
(Ketovuori 1987, Zalon 1993, Dalpra & Zampieron 1998,
Puntillo et al. 1999) or to overestimate mild pain (Zalon
1993). Nurses have difficulty estimating patients’ pain
adequately; mistakes can also occur if patients are a
sleep
(Schaufheuthle et al. 2001). Nurses draw their conclusions
on the basis of observations and measurements of physio-
logical features such as blood pressure or pulse (McGuire
1992, Salanterä et al. 1999), which, however, are unreliable
indicators of pain because they are influenced by a large
number of other factors (Closs 1996). Nurses’ overestima-
tions tend to increase if a patient has a rising blood
pressure and pulse (Teske et al. 1983, Bondestam et al.
1987).
The study
Aims
The aim of the study was to explore the congruency of
patients’ and nurses’ pain assessments and the possibility of
measuring pain using a pain tool in the recovery room.
Design
A descriptive comparative cross-sectional study design was
used.
A convenience sample of 45 consecutive prostatectomy
patients was chosen and then pain was evaluated six times
consecutively.
Premedication and anaesthesia were standardized, and the
surgical procedure was performed under general and epidural
anaesthesia, which effectively reduce dynamic pain (Heid &
Jage 2002). These were based on the following criteria:
• Intervertebral epidural anaesthesia Th 12 L1.
• Start dose was bupivacaine 12Æ5 mg epidurally.
• After 1 h from the start of the procedure epidural infusion
was started: fentanyl 0Æ5 mg, bupivacaine 50 mg and
physiological saline 20 mL.
• The same pain medication continuing at 3–5 mL/h during
and after procedure.
• Combined anaesthesia was induced using: fentanyl 2 mg/
kg, propofol 2 mg/kg, rocuronium 1 mg/kg, nitrous oxide
and desflurane.
• Minimum alveolar concentration (MAC) was kept over
one and patients received no further relaxants (during the
procedure). As the epidural analgesia was effective patients
were given only 0Æ6 mg fentanyl, on average, during the
operation.
Participants
A convenience sample of 45 consecutive prostatectomy
patients during the year 2001 was enrolled. Power analysis
was not carried out because there are no previous studies
conducted in the recovery room. The mean age of patients was
62 years, range 47–73 years. The criteria of the American
Society of Anaesthesiologists (ASA) were used in classifying
patients into groups according to their physical condition. In
this classification, a healthy patient is ASA I, one with mild
systemic disease is ASA II and one with severe systemic disease
is ASA III. ASA IV refers to a patient with life-threatening
severe systemic disease and ASA V to a moribund patient. The
majority of patients in this study were in ASA class 2 (f ¼ 40);
a few were in class 3 (f ¼ 4) or 4 (f ¼ 1). The operation lasted
from 2 to 4 h.
K. Heikkinen et al.
594 � 2005 Blackwell Publishing Ltd, Journal of Advanced Nursing, 52(6), 592–600
Data collection
Postoperative pain was studied with three pain intensity
scales being used by patients: a red-wedge version of VAS;
NRS scale (0–10); and the patients’ verbal expressions, VRS.
On the VAS scale, the two anchor points represented ‘no
pain’ and ‘worst imaginable pain’. Patients’ verbal descrip-
tions were classified into four categories: no pain, moderate
pain, intense pain and intolerable pain. Nurses rated patients’
pain using the NRS scale. Patients were informed about
the pain assessment tool and on how to use it by two research
nurses prior to the operation. The two nurses also estimated
the intensity of pain and collected the data. The pain
assessments were made every 15 minutes so that the nurse
assessed the pain before the patient’s own assessment. Every
other patient assessed their pain using VAS first, every other
using NRS first, whereas the verbal description was the last
assessment method. Pulse and blood pressure measurements
were collected from patient documents. The first measure-
ment was carried out when the patient was transferred into
the recovery room and subsequently every 15 min. The first
measurements were excluded from the analysis, because most
of the patients were asleep; thus only the measurements from
the second to the sixth were included.
Validity and reliability
The validity and reliability of both VAS and NRS have been
widely tested in different clinical areas (Paice & Cohen
1997). In this study, VAS and NRS tools and patients’ verbal
assessments varied. Patients’ verbal assessment(s) varied most
when compared with VAS; however, there was a positive
correlation between nurses’ and patients’ pain assessments.
Patient’s assessment did not influence nurse’s assessment,
because nurses always assessed the patients’ pain first.
Patients were shown how to use pain tools and they
understood the purpose of them. Patients were given the
same analgesia, because the use of different analgesia in
different patients would have affected the pain assessments.
Inter-relater reliability was used in the first five patients
(>10% of sample). Differences between the ratings were no
more than ±1 points on the NRS scale, which was
considered acceptable.
Ethical considerations
Ethical approval to conduct the study was obtained from the
nursing research committee of the organization concerned.
The study complied with the Helsinki declaration of the
World Medical Association Declaration of Helsinki (1964),
with the ethical rules of the International Council of Nurses
(ICN) (2002) and with Finnish national legislation on
patients’ rights (The Law on Patient’s Right 1992).
All participating patients received written information
about the purpose of the study and gave written consent.
They were told that participation was voluntary, that all the
information collected would be handled confidentially and
that they had the right to discontinue the research at any
stage. They were also told that refusal or a decision to
discontinue would have no influence on their care. The
identity of the patients was not disclosed at any stage of data
analysis or reporting.
Data analysis
The analyses were carried out with the Statistical Software
Package R (2003). Patients’ verbal descriptions were classi-
fied into four mutually exclusive categories of pain: 1, none;
2, moderate; 3, intense; and 4, intolerable.
The data were represented with frequencies and percent-
ages. Sum variables were formed by taking the average of the
last five measurements. The results were analysed with
Spearman’s rank correlation (rS), Pearson’s correlation (rP)
and multiple regression analysis. For the most part, the data
were normally distributed, but, because of the small amount
of data, non-parametric methods were also used in the
statistical analysis. The level of statistical significance was set
at P < 0Æ05.
Results
Patients’ and nurses’ pain assessments during the recovery
room
period
All of the patients recruited to the study participated
(n ¼ 45). Pain was assessed six times, starting 15 min after
the patient had been transferred to the recovery room. The
nurses’ and patients’ numerical pain assessments ranged from
0 to 9. Patients had higher NRS assessments than nurses
(Table 1).
Table 1 Nurses’ and patients’ numerical pain
estimations
Measurement Minimum Maximum Mean Median Variance SD
Patient with
VAS
0 9 1Æ96 2Æ2 3Æ63 1Æ91
Patient with
NRS
0 8 2Æ42 2Æ2 4Æ87 2Æ21
Nurse with
NRS
0 8 2Æ23 1Æ9 3Æ82 1Æ96
VAS, visual analogue scale; NRS, numeric rating scale.
Issues and innovations in nursing practice Pain assessment in the recovery room
� 2005 Blackwell Publishing Ltd, Journal of Advanced Nursing, 52(6), 592–600 595
The nurses’ and patients’ assessments were divided into five
classification groups:
• 0, no pain;
• 1–3, mild pain;
• 4–6, moderate pain;
• 7–9, intense pain;
• 10, intolerable pain.
There were differences between nurses’ and patients’
assessments. Nurses both underestimated (19%) and overes-
timated (18%) patients’ pain. Overestimation was more
common in the first measurements. Most of the assessments
were at the same level (63%) (Table 2).
Nurses and patients agreed most frequently in their
assessments when they rated pain at 0 (using VAS and
NRS). Nurses’ assessments ranged from þ6 to �5 when
compared with the patients’ assessments. The biggest differ-
ences occurred when patients assessed their pain using the
NRS. Nurses would most typically overestimate the pain
experienced by patients in situations where patients said they
had ‘no pain’ (0) and underestimated pain when patients said
their pain was ‘mild’ (1–3) or ‘intense’ (7–9).
Nurses’ pain assessments were significantly related to those
of patients when patients used VAS (rS ¼ 0Æ821, P < 0Æ0001) or NRS (rS ¼ 0Æ880, P < 0Æ0001). The correlation between nurses’ and patients’ assessments with VAS ranged from
0Æ661 to 0Æ869; with NRS it ranged from 0Æ715 to 0Æ883. A
correlation was also seen between patients’ assessments based
on VAS and NRS (rP ¼ 0Æ95, P < 0Æ0001). Patients’ verbal descriptions were written down and
grouped into four classes: 1, no pain; 2, mild pain; 3, intense
pain; 4, intolerable pain. Only four categories were used
because patients did not use the term ‘moderate pain’ in their
verbal accounts. There was marked variation between the
numerical and the verbal responses; for example, the numer-
ical ratings from 4 to 6 could mean no pain, mild, intense or
intolerable pain. The verbal assessments of ‘no pain’ and
‘mild pain’ varied in numbers from 0 to 7 and ‘intense pain’
from 3 to 9. However, only one patient used the term
‘intolerable pain’; with VAS the value was 3, with NRS 8.
The most common assessment was no pain (46%), but only
one patient used the term ‘intolerable pain’; none described
their pain as intolerable in numbers. Most of the patients in
pain had mild (29%) or moderate pain (16%) (Table 3).
Patients’ verbal pain assessments showed a significant
correlation (rS) with the assessments based on VAS or NRS.
The correlation between the patients’ verbal assessments and
VAS assessments ranged from 0Æ448 to 0Æ627 (P ¼ 0Æ049 to
P ¼ 0Æ001), between verbal assessments and NRS assess-
ments from 0Æ504 to 0Æ708 (P ¼ 0Æ0168 to P ¼ 0Æ0001).
Nurses recorded patients’ blood pressure and pulse at each
assessment and the correlation between patients’ pain, pulse
and mean arterial blood pressure (MAP) was tested. There
was only a slight correlation between patients’ pulse and
MAP at the fifth and sixth measurement (rP ¼ 0Æ213–0Æ402,
P ¼ 0Æ008–0Æ161). Patients’ pain assessments with VAS were
not related to pulse (P ¼ 0Æ731) neither on NRS (P ¼ 0Æ655)
nor nurses’ assessments (P ¼ 0Æ913), but were related to the
pulse only at the first measurement (rS ¼ 0Æ503, P ¼ 0Æ018).
Patients’ pain assessments with VAS and NRS and nurses’
assessments were related to MAP only at the second
measurement (P ¼ 0Æ010–0Æ034). Patients’ verbal pain assess-
ments were not related to MAP (P ¼ 0Æ054). Their pain
assessments did not increase with rising MAP or pulse, but
there were also low pain assessments when MAP or pulse was
high, and vice versa.
The ability of patients to assess their pain depends upon
their level of consciousness and sedation. The level of
sedation was always measured in connection with pain
measurement. Sedation levels were divided into six categor-
ies: 0, awake; 1, tired, drowsy; 2, sleepy, dozes but wakes
easily; 3, under strong sedation, sleeps soundly but can be
woken; 4, in sound sleep, cannot be woken; 5, in normal
sleep.
At first measurement, patients’ sedation levels varied from
‘awake’ to ‘in sound sleep’. At second measurement, most
patients were sleepy (56%) or under strong sedation (24%).
Table 2 Nurses’ and patients’ pain assessments using the numeric
rating scale at five measurement points (%)
Measurement
point
Equivalent
estimations
Nurses’
overestimations
Nurses’
underestimations Total
2nd 61 21 18 100
3rd 58 23 19 100
4th 58 22 20 100
5th 70 11 19 100
6th 67 13 20 100
In total 63 18 19 100
Minimum 1 Minimum 1
Maximum 5 Maximum 6
Table 3 Patients’ and nurses’ pain assessments divided into five
groups (%)
Person/tool No pain Mild Moderate Intense Intolerable
Patient/VAS 44 30 20 6 0
Patient/NRS 43 26 21 10 0
Patient/verbally 71 19 0 9 1
Nurse/NRS 37 37 18 8 0
Total (%) 46 29 16 8 0
VAS, visual analogue scale; NRS, numeric rating scale.
K. Heikkinen et al.
596 � 2005 Blackwell Publishing Ltd, Journal of Advanced Nursing, 52(6), 592–600
At fifth and sixth measurements, none of the patients was
under strong sedation (Table 4).
Patients’ pain assessments with VAS and NRS and nurses’
numerical assessments were examined with separate multiple
regression analysis models. Explanatory variables were the
other two pain assessments, MAP, pulse and average
sedation
level (during the past five measurements). The VAS and NRS
scales were significantly associated with each other
(P < 0Æ0001). Also the NRS scale and nurses’ numerical
assessments were associated (P ¼ 0Æ0289). MAP, pulse and
average sedation level were insignificant. The adjusted indices
of determination (R2) for the three models were 0Æ9051
(VAS), 0Æ9160 (NRS) and 0Æ7203 (nurses’ numerical assess-
ments).
Applicability of VAS and NRS during the recovery room
period
Only one patient expressed his pain spontaneously, whereas
all of the others waited for the nurse to ask how much pain
they were in. They differed in their ability to use VAS and
NRS for assessing their pain. In the second measurement,
11% of patients were unable to assess their pain with VAS,
whereas one was unable to use the NRS. The failure rate at
the other measurements ranged from 5% to 7%. The degree
of problems patients had assessing their pain depended on
sedation levels.
In respect of their views on the pain tools the patients were
divided into two categories: 22 (49%) preferred VAS,
whereas 19 persons (42%) preferred NRS. Four patients
(9%) did not say which tool was better. Half of patients
(51%) did not justify their choice in any way. The most
common reasons for their preferences were that NRS is easier
to use (11%); that numbers are easier (11%); and on the
other hand that VAS is simpler. The other reasons mentioned
were that NRS reminds people of school grades; that
numbers are hard to understand, and that VAS is better
because numbers are hard to remember. Two patients said
they liked both of the tools.
Discussion
There are several limitations that could influence this study.
Data were collected by just two researchers, which may have
caused some observer bias: results might vary more if there
were more observers. Patients formed one specific group; all
with the same diagnosis, operation and analgesia. This adds
reliability. The sample size was fairly small and power
calculation was not made. The findings, however, show a
clear trend. Also the convenience sample was used rather
than a random sample, thereby limiting the value of this
study. Further studies using a larger sample size and a
broader clinical field are also recommended.
This study reveals differences in nurses’ numerical pain
assessments and patients’ assessments based on VAS and
NRS. Most assessments were equivalent (63%) and correla-
ted with each other. Earlier studies in other pain assessment
situations have reported similar results (Paice & Cohen 1997,
Dalpra & Zampieron 1998). Both patients and nurses
frequently used the numerical value 0, but never the value
10. Carpenter and Brockopp (1995) found that patients
preferred to use the middle area or ends of the scales. In this
study, nurses overestimated patients’ pain in those situations
where patients rated their pain as zero, and underestimated
pain when patients regarded their pain as mild or intense.
Zalon (1993) has reported earlier similar results. It is possible
that patients do not express their pain clearly or that they do
not want to complain but to cope with it. There were
significant differences between nurses’ and patients’ assess-
ments: nurses’ assessments could be þ6 or �5 compared with
those of patients. This is a substantial enough difference to
have an impact on quality of patient care.
Difficulties in using VAS and NRS may have to do with the
researchers themselves (Chapman et al. 1985). In this study,
the results of the pain assessment tools were used as interval
scale variables; even though it was not possible to prove that
the distance between all the numbers was the same. It is
possible that not all patients were able to estimate their pain
in such terms, or that it was hard for them to understand
changes in their pain intensity in terms of a distance between
numbers (Scott 1994, Ferguson et al. 1997, De Rond et al.
1999). The NRS scale from 0 to 10 may be ambiguous, and
the numbers may be confused with school grades so that 10 is
thought to mean ‘no pain’ or ‘excellent’ (De Rond et al.
1999). Patients’ assessments based on NRS were higher (mean
2Æ42) than those based on VAS (mean 1Æ96); Carpenter and
Brockopp (1995) have reported similar results. Nonetheless,
assessments by patients and nurses did correlate with each
other, as has been reported in other studies (Carpenter &
Brockopp 1995, Paice & Cohen 1997). Nurses’ estimations
Table 4 Sedation levels (%)
Measurement Awake Tired Sleepy
Strong
sedation
In sound
sleep
Normal
sleep
First – 16 42 38 4 –
Second – 20 56 24 – –
Third – 42 49 9 – –
Fourth 2 51 40 7 – –
Fifth 9 55 36 – – –
Sixth 9 55 36 – – –
In total 4 45 43 8
Issues and innovations in nursing practice Pain assessment in the recovery room
� 2005 Blackwell Publishing Ltd, Journal of Advanced Nursing, 52(6), 592–600 597
were lower (mean 2Æ23) than those of patients’ with NRS, and
this underestimation has also been shown in many other
studies (Ketovuori 1987, Dalpra & Zampieron 1998, Puntillo
et al. 1999).
It was found that patients’ numerical and verbal assess-
ments varied widely and showed no consistency. Problems
might occur if we rely simply on VAS or NRS and try to
comply with the rule that numerically expressed pain over
three has to be medicated.
Verbal assessments allow for much narrower a scale than
numerical ones, and changes in pain intensity do not show up
as readily as on a numerical scale. Furthermore, verbal pain
tools do not necessarily yield sufficiently sensitive and
accurate measurements of the development of patient’s pain
(Paice & Cohen 1997). The NRS scale, 0–10, may be too
wide; 0–5 might yield more useful results. Some patients
think that the expression ‘worst pain ever’ in the VAS scale is
ambiguous, because, it is hard to imagine what such pain
could be like, or whether it could be even more intense. On
the other hand, patients did not use such expressions as
‘intolerable pain’ or ‘moderate pain’ in their verbal accounts;
instead, their vocabulary was simpler. Interestingly, VAS and
NRS tools only indicate the intensity of pain, not its location
or quality, but the same was true of patients’ verbal
assessments (Bourbonnais 1981, De Conno et al. 1994).
Bondestam et al. (1987) and Teske et al. (1983) observed
that nurses might overestimate patients’ pain, and that this
tendency usually increases with increasing blood pressure and
pulse. In this study, neither pulse nor MAP was related to
patients’ or nurses’ pain assessments.
Patients, in this study, did not express their pain sponta-
neously. Their sedation level varied, which may be one reason
why not all of them were able to use VAS or NRS to assess
their pain. Especially in the first set of measurements, some of
the patients were unable to assess their pain with VAS and
NRS, or with either. In this study, the method of anaesthesia
was standardized (Ferguson et al. 1997) so that all patients
were in an equal position to assess their pain. The study by
Bowman (1994) also pointed at surgical patients’ difficulties
in assessing their pain, possibly because of their medication.
Half of the patients preferred to use VAS, half NRS. In this
study, we used a red pain scale because it has been found to
be easier to use (Zalon 1993). In the recovery room setting, it
is indeed better to use a bigger scale than normally. In this
study, the pain scale was identical to the pain scale used on
the ward, so it is possible that patients did not see it clearly
because the tool was small in size. In this study, patients said
they preferred the NRS because of its numbers, but Scott
(1994) reported that the use of NRS might be problematic
because some patients are unable to classify pain numerically.
Conclusions
The most important issue here is not necessarily the pain
assessment tool itself, but the fact that pain is assessed
systematically and that both nurse and patient understand the
meaning of the assessment. In the recovery room pain should
be estimated systematically, but which tool would be best for
this purpose calls for further research.
Author contributions
KH, SS, MK and MT were responsible for the study
conception and design. KH and MK performed the data
collection. KH and SS undertook the data analysis, made
critical revisions to the paper and provided statistical
expertise. KH was responsible for drafting the manuscript;
SS provided supervision.
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K. Heikkinen et al.
598 � 2005 Blackwell Publishing Ltd, Journal of Advanced Nursing, 52(6), 592–600
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