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The Oxford Shoulder Score revisited

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Abstract

The validated, patient-reported Oxford shoulder score (OSS) was introduced around 10 years ago, primarily for the assessment of outcomes of shoulder surgery (excluding shoulder stabilisation) in randomised trials. Its uptake has steadily increased in a number of countries and its use has also been extended. Recently a number of issues have been raised in relation to other related patient-reported outcome measures which were devised around the same time as the OSS. This included recommendations to change the scoring system. This paper reviews issues concerning patient-reported outcome measures that apply to the OSS and makes some recommendations (including changes to the scoring system) as to how it should be used.
Arch Orthop Trauma Surg
DOI 10.1007/s00402-007-0549-7
123
ORTHOPAEDIC OUTCOME ASSESSMENT
The Oxford shoulder score revisited
Jill Dawson · Katherine Rogers · Ray Fitzpatrick ·
Andrew Carr
Received: 11 October 2007
© Springer-Verlag 2008
Abstract The validated, patient-reported Oxford shoulder
score (OSS) was introduced around 10 years ago, primarily
for the assessment of outcomes of shoulder surgery
(excluding shoulder stabilisation) in randomised trials. Its
uptake has steadily increased in a number of countries and
its use has also been extended. Recently a number of issues
have been raised in relation to other related patient-reported
outcome measures which were devised around the same
time as the OSS. This included recommendations to change
the scoring system. This paper reviews issues concerning
patient-reported outcome measures that apply to the OSS
and makes some recommendations (including changes to
the scoring system) as to how it should be used.
Keywords Shoulder · Outcome score · Shoulder surgery ·
Oxford shoulder score · Patient-reported outcomes
Introduction
It is now around 10 years since the patient-reported Oxford
shoulder score (OSS) was introduced [1]. At the time of its
development, while a number of clinician-devised or
assessed scores existed for the shoulder (e.g. the Constant–
Murley shoulder score [2], Simple Shoulder Test [3]) the
use of patient-reported measures, which represented the
patient’s perspective, in orthopaedics, was extremely lim-
ited. Devised with patients, the OSS was primarily devel-
oped for the assessment of outcomes of shoulder surgery
(excluding shoulder stabilisation, for which there is a sepa-
rate, speciWc patient-reported measure—the Oxford Shoul-
der Instability Score [4]) in randomised trials and was
designed to be completed by the patient, in order to mini-
mise potential reporting bias (e.g. bias unwittingly intro-
duced by surgeons assessing their own patients’ outcomes
[5]). An additional advantage in using patient-reported out-
come measures (PROMs) is that, unlike a clinical assess-
ment, they can be completed at a remote location by post,
thereby avoiding inconvenience and cost to all concerned.
The OSS was devised as a joint speciWc instrument so as
to minimise the inXuence of other co-morbidity and under-
went rigorous assessment of reliability, validity and respon-
siveness within prospective studies [1, 6]. Over the years its
uptake has steadily increased and it has now been used in a
number of countries (including the UK [7], Israel [8],
Finland [9]). Details of a study to formally translate and
validate the OSS in German have also been published [10].
Recently, the OSS has been adopted as the primary out-
come measure in a UK RCT of interventions for rotator cuV
tears [11]. The use of the OSS has also been extended and it
has been applied in cohort studies, audits and a national
joint replacement registry [12].
Recently a number of issues have been raised in relation to
other patient-reported outcome measures (the Oxford hip and
knee scores [1315)] which were devised (involving mem-
bers of our team) at around the same time as the OSS and
which have a similar scoring system. One issue included the
suggestion that the scoring system needs to change, which has
had the potential to cause some confusion. The aim, therefore,
of this paper is to review the situation with the OSS and make
some recommendations as to how it should be used.
J. Dawson (&) · K. Rogers · R. Fitzpatrick
Department of Public Health, University of Oxford,
Old Road Campus, Oxford OX37LF, UK
e-mail: jill.dawson@dphpc.ox.ac.uk
A. Carr
NuYeld Department of Orthopaedic Surgery,
University of Oxford, Windmill Road,
Oxford OX37LD, UK
Arch Orthop Trauma Surg
123
Wording of questions and response categories
The recommended format for OSS questions and their
response categories can be found on the Patient-Reported
Health Instruments web-site [16]. We have found that
response rates for the OSS are generally high (this may par-
tially reXect the average—generally middle—age of
patients undergoing shoulder surgery). For example, 96%
of patients completed all OSS items at both pre- and
6 month post-operative assessments in one study [17].
However, Occasionally, patients have diYculties answer-
ing particular questions. For instance the question (5)
“Could you do the household shopping on your own?” may
be diYcult to answer for people who say that someone else
does their shopping or for people living in residential care.
The word “could” suggests that patients should answer this
item hypothetically in such circumstances and this is our
recommendation, which can be communicated to the
patient. A similar approach should be taken for the question
about brushing/combing hair, by patients who are bald
headed. If, after clariWcation, an item is simply left unan-
swered, then this should be dealt with as missing data (dis-
cussed below).
The questions in the OSS represent issues found to be of
general importance in the initial interviews conducted with
patients, from which the OSS resulted [1], and which were
relevant to the vast majority of patients—which they need
to be when included in an outcome measure. However, it is
wrong to imagine that a perfect questionnaire, which suits
all of the people, all of the time, will ever exist.
Scoring
When the OSS was originally devised, the scoring system
was designed to be as simple as possible, in order to
encourage its use. Thus, each of the 12 questions was
scored from 1 to 5, with 1 representing best outcome/least
symptoms. Scores from each question were added so the
overall score was from 12 to 60 with 12 being the best out-
come. This was identical to the system used for the Oxford
hip (OHS) and knee scores (OKS). However, subsequently,
many surgeons using the OHS or OKS said that they found
this scoring unintuitive and started using diVerent systems
which led to some confusion. We therefore issued recent
recommendations concerning changes to the method of
scoring the Oxford hip and knee scores [15]. Our view is
that similar changes are inevitable with the OSS and that
therefore, the sooner this change occurs, the better. Under
the new system, each question on the OSS should be scored
0–4, with four representing the best (this is the opposite
direction from the original method of scoring). When the
12 items are summed, this produces overall scores that run
from 0 to 48 with 48 being the best outcome (to convert the
“old system” of 60–12 to the 0–48 scoring system and vice
versa simply subtract the score from 60) [18]. In addition,
the method used should always be clearly stated (including
in abstracts). We also recommend that this scoring system
shoulder be adopted for the Oxford Shoulder Instability
Score [4].
Comparison with other scoring systems
The OSS item content developed out of interviews con-
ducted with patients and therefore fully reXects the
patient’s perspective. As far as we can ascertain, while the
Western Ontario Rotator CuV Index (WORC) [19] involved
some interviews with patients during the development
stage, no other patient-reported outcome measures for the
shoulder have [3, 2025]. Giving prominence to the
patient’s—rather than the clinician’s—perspective is pref-
erable because patients and clinicians can genuinely dis-
agree about the relative importance of diVerent aspects of
the outcome of health care interventions [26, 27], and
because the patient’s perspective on outcomes might be
expected to more closely mirror their attitudes regarding
satisfaction with their treatment.
The OSS was designed to be joint speciWc in order that
it should be as sensitive to the outcome of shoulder surgery
as possible and to be inXuenced as little as possible by
other co-morbidities (“noise”)—although it is impossible
to totally eradicate the aVect of noise on even quite speciW
c
measures of outcomes. This feature of a score, its speciWc-
ity, inXuences its responsiveness or “sensitivity to
change”, which is the most important aspect in relation to
prospective outcome studies [28, 29]. The OSS has been
shown to have particularly high responsiveness [1, 6, 20]
that is comparable to the clinician assessed Constant–
Murley score [6].
1
It likely also has measurement proper-
ties that are generally superior to older patient-reported
instruments which were developed at a time when psycho-
metric methods to develop and test new instruments were
not well appreciated or applied [20]. Due to the fact that
the OSS has been evaluated independently and found to be
a highly reliable and responsive system for the assessment
of shoulder surgery [7, 20], there is some justiWcation for
using this score in isolation. However, if it is important to
compare the improvement resulting from shoulder inter-
ventions with interventions occurring at other sites, it is
sensible to use a general health measure, such as the SF-36
1
Although one series of analyses revealed patient-reported outcome
measures (OSS and SF-36) to be more stable than the Constant
Murley assessment, based on comparisons with ratings on satisfaction
and transition items [6].
Arch Orthop Trauma Surg
123
[30, 31], as well as the OSS. If health economic informa-
tion is needed the EuroQol [32] is valuable. In addition if
speciWc clinical and surgical data, such as range of move-
ment, is required then a formal clinical assessment would
also be necessary.
Use of the score
Although the OSS was designed to be a primary outcome
measure in randomised controlled trials, it has also been
used in cohort studies and audits. It has become apparent
that one of the biggest determinants of outcome after some
forms of orthopaedic surgery is the pre-operative score [15,
33, 34], and this Wnding may also hold true for shoulder
surgery. Therefore if the treatment of diVerent cohorts of
patients is being studied, in a non-randomised setting, it is
essential that both the preoperative and postoperative
scores are obtained. The change in the score should be ana-
lysed in addition to the post-operative score. Likewise, if a
multivariate analysis of outcomes is undertaken this should
take account of the pre-operative score [35]. Following
shoulder surgery, the majority of the improvement in pain
and function and in the OSS likely occurs within the Wrst
year [17]. It is therefore not unreasonable to assess outcome
at one year.
Given that the 1-year score is related to the preoperative
score; when using the scores for audit purposes, it is useful
to know approximately what outcome would be expected
after shoulder surgery, given a particular preoperative
score. Results from an analysis of data taken from the orig-
inal study that devised the OSS [1], are shown in Table 1.
This summarises mean OSS before and after shoulder sur-
gery, presented by 10% bands (deciles) of the pre-operative
score.
2
These data are also shown converted to the 0–48
scoring system. The table shows that those patients who
started with a worse OSS before surgery tended to remain
worse after the operation. It should, however, be noted that
with all outcome scores, scores tend to worsen with age
[36, 37]. Therefore, for each condition or type of surgery
that is studied, in elderly patients, a “normal” score may be
somewhat less than 48.
Although we have achieved very high response rates when
the OSS has been sent to patients, practical approaches to
maximise response rates should always be employed. These
include using carefully worded covering letters, sending
reminders with second copies of the questionnaire, using pre-
paid reply envelopes and contacting patients by telephone.
When patients have bilateral joint problems we favour giving
two questionnaires, one for each side, rather than, for
instance, modifying the questionnaires to include both sides.
Surgeons are attracted to categorisation systems, group-
ing patients’ results according to whether they are consid-
ered excellent, good, fair or poor, rather than simply using a
score. However, such categories (or rather, their cut-oV
points) are, unfortunately, always very approximate and are
likely to vary from one population to another. Work is cur-
rently in progress to produce categories. Until this is avail-
able we believe that surgeons should avoid categorisation.
Other languages
The OSS is now being used in other countries with details
of formal translation and validation procedures published,
2
This secondary data analysis was conducted on anonymous data
which had been retained from the original study [1].
Table 1 Mean Oxford shoulder scores before and at 12 months after (NHS funded) shoulder surgery, by 10% bands (deciles) of pre-operative
score
Pre-operation
Oxford shoulder
score band
12–60 scale 0–48 scale Mean (SD) Oxford Shoulder Score (Using 0–48
scoring method)
Change in score
between 0 and
12 months
Before operation 12 months after
1 12–23 37–48 Best possible 39.4 (1.7) n = 14 43.6 (4.8) n = 12 4.0 (4.6)
2 24–26 34–36 34.9 (0.9) n = 17 40.5 (4.2) n = 15 5.6 (4.3)
3 27–29 31–33 32.4 (0.8) n = 15 38.6 (8.3) n = 12 6.0 (8.1)
4 30–32 28–30 29.2 (0.8) n = 24 36.7 (8.4) n = 19 7.4 (8.6)
5 33–34 26–27 26.6 (0.5) n = 19 40.8 (6.3) n = 18 14.2 (6.2)
6 35–36 24–25 24.5 (0.5) n = 15 32.7 (8.0) n = 11 8.3 (7.9)
7 37–39 21–23 21.9 (0.9) n = 14 39.8 (5.8) n = 11 17.8 (6.0)
8 40–43 17–20 18.7 (1.1) n = 18 29.9 (11.1) n = 15 11.2 (11.1)
9 44–48 12–16 14.2 (1.6) n = 17 23.6 (9.9) n = 16 9.4 (9.7)
10 49–60 0–11 Most severe 8.5 (2.5) n = 17 23.4 (11.9) n = 14 14.6 (12.1)
Total 24.9 (9.0) n = 170 34.8 (10.6) n = 143 9.9 (9.0)
Arch Orthop Trauma Surg
123
so far, for a German translation study [10]. If data from the
OSS are to be used comparatively across diVerent lan-
guages then the translational process has to be performed in
an appropriate, standard manner as described by Huber
et al. [10]. This should include forward and backward trans-
lation methods, plus an assessment of the translated score’s
measurement properties.
Missing data
A common problem with questionnaires is that some
patients provide incomplete responses. We propose that, if,
after repeated attempts to obtain complete data from an
individual, only one or two questions have been left unan-
swered, it is reasonable to enter the mean value represent-
ing all of their other responses, to Wll the gaps. An
alternative computerised method of imputing values, which
could be applied to many questionnaires has been reported
by Jenkinson et al. [38]. If more than two questions are
unanswered we believe that an overall score should not be
calculated. If patients indicate two answers for one question
we recommend that the convention of using the worst (most
severe) response is adopted.
Statistical issues
By the time patients are close to receiving shoulder surgery,
their symptoms will often be quite severe, whereas, by
12 months following surgery the majority of patients gener-
ally have only very mild problems—if any. For these rea-
sons, data from the OSS obtained at these time-points are
generally skewed in one or other direction [1]. It could
therefore be argued that it is sensible to use transformations
[39] or non-parametric statistics for analyses involving
absolute scores. Analysis using change scores is less prob-
lematic as they tend to be more normally distributed.
While it is simple to determine the statistical signiWcance
of changes in health status measures—such as the OSS, it
can be harder to determine the real clinical or subjective
meaning of these changes. There are a number of
approaches to determining the smallest amount of change
on a measure that is likely to be of importance [40, 41],
which include the minimal clinically important diVerence
(MCID) [40]. A MCID is the smallest change in score
which patients perceive as meaningful and which would
cause clinicians to consider a change in the patient’s man-
agement [42]. Work is in process to produce MCID esti-
mates for the OSS. Until these are available an
approximation to the MCID can be obtained, based on the
observation that for many PROMs the MCID is about half
of the standard deviation of change [43].
One of the reasons why clinically important diVerences
are important is that this information is needed in power
calculations to determine the size of a study. It is essential
that power calculations are done before a study is under-
taken.
As patients’ involvement in outcome assessment is
becoming more widely established, it is becoming increas-
ingly important to achieve some standardisation in the use
of instruments. We trust that this paper will assist in that
regard.
Acknowledgments Regarding the secondary data analysis con-
ducted to inform the table in this paper. The original study that gener-
ated these data was conducted in the early 1990s and we wish to
acknowledge receipt of funding for that study by grant from Oxford
Regional Health Authority (Audit). These data were retained in an
anonymised form. The study complied with the laws of the UK, which
at that time, did not require informed consent from patients for a purely
observational study, as completion of a questionnaire was accepted as
implicit consent.
ConXict of interest statement None of the authors have any con-
Xict of interest in relation to this paper.
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... All postoperative ultrasound examinations were performed by a single experienced sonographer using the same ultrasound machine (Model iU22; Philips Medical Imaging, Bothell, WA,USA) with a high-frequency linear transducer (12-5 MHz) and a standardized technique for the assessment of rotator cuffs [24,26,29]. In addition, the sonographer evaluated the integrity of the repair, with suture laxity and tendon deficiency used as indicators of discontinuity [24] (Figure 1). ...
... Patient functional clinical outcomes were evaluated pre and postoperatively (6 month follow-up) using the Western Ontario Rotator Cuff Index (WORC) [28], the Oxford Shoulder Score (OSS) [29] and the Constant score [30]. These were all obtained in-person by the same experienced practice nurse and entered into a dedicated software package for score calculation and database storage (Socrates v 3.5, Ortholink, Aus). ...
... The OSS is a 12-item questionnaire on shoulder complaints. Results are summarised as a total score of 0 (worst) to 48 (best) [24]. For patients with shoulder complaints, the OSS is one of the recommended first-choice instruments [25]. ...
... Other dichotomised variables: overall satisfaction ("satisfied", "not satisfied") and felt informed ("yes", "no") were analysed like PGIC. The usual missing rule for the OSS was used (that is, if one or two questions are left unanswered, the gaps are filled with the mean value for the answered questions and if more than two questions are left unanswered, the OSS is not calculated [24]), and the number of participants with missing data was reported. The analyses were made according to the intention-to-treat principle and were based on the analysis population. ...
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... These subjective data can help clinicians better understand how a condition or disease influences a patient's capabilities, functioning, and symptoms [9]. There are many validated PROs to measure the functionality of the shoulder and upper limbs [10][11][12][13][14]. Among them, the Upper Limb Functional Index (ULFI) was developed to address the limitations of previous PROs, showing superior practical characteristics, clinical utility, and comparable psychometric properties [14]. ...
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Breast cancer survivors (BCS) may face functional alterations after surgical intervention. Upper Limb Disorders (ULDs) are highly prevalent even years after a diagnosis. Clinicians may assess the upper limbs after breast cancer. The Upper Limb Functional Index (ULFI) has been validated across different populations and languages. This study aimed to assess the psychometric properties of the Upper Limb Functional Index Spanish version (ULFI-Sp) in the BCS. Methods: A psychometric validation study of the ULFI-Sp was conducted on 216 voluntary breast cancer survivors. The psychometric properties were as follows: analysis of the factor structure by maximum likelihood extraction (MLE), internal consistency, and construct validity by confirmatory factor analysis (CFA). Results: The factor structure was one-dimensional. ULFI-Sp showed a high internal consistency for the total score (α = 0.916) and the regression score obtained from MLE (α = 0.996). CFA revealed a poor fit, and a new 14-item model (short version) was further tested. The developed short version of the ULFI-SP is preferable to assess upper limb function in Spanish BCS. Conclusions: Given the high prevalence of ULD in this population and the broader versions of ULFI across different languages, this study’s results may be transferred to clinical practice and integrated as part of upper limb assessment after breast cancer.
... Determinaram-se três momentos avaliação: prévia ao procedimento, após um mês e após três meses. Deste modo, no âmbito da consulta, os doentes foram avaliados com um goniómetro para medir amplitude articular (determinando-se os graus de elevação anterior, lateral e rotação externa e interna) e preencheram um questionário, contemplando as seguintes escalas validadas linguística e culturalmente para português: -Escala visual analógica (EVA), para avaliação subjetiva da dor; -Oxford Shoulder Score (OSS) 11 Todos os doentes tinham realizado previamente tratamentos prolongados de fisioterapia e mesoterapia e três doentes tinham também sido submetidos a infiltração sem evidência de melhoria. ...
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... The final score was calculated by the mean of the three different measures. -Oxford Shoulder Score (OSS) to assess shoulder function [36]. This scale was chosen to precisely target shoulder function given that it allows a specific assessment of disability from the shoulder, and it is influenced as little as possible by other co-morbidities [37]. ...
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... A structured telephone interview was conducted for those not responding. 17 Patient-reported outcome measures (PROMs) included were a subjective SCJ grading of joint stability (Table V), 10 Oxford Shoulder Instability Score (OSIS), 15 and pain visual analogue scale (VAS). 16 Statistical analysis. ...
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... A structured telephone interview was conducted for those not responding. 17 Patient-reported outcome measures (PROMs) included were a subjective SCJ grading of joint stability (Table V), 10 Oxford Shoulder Instability Score (OSIS), 15 and pain visual analogue scale (VAS). 16 Statistical analysis. ...
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There remains a lack of consensus regarding the management of chronic anterior sternocla-vicular joint (SCJ) instability. This study aimed to assess whether a standardized treatment algorithm (incorporating physiotherapy and surgery and based on the presence of trauma) could successfully guide management and reduce the number needing surgery. Methods: Patients with chronic anterior SCJ instability managed between April 2007 and April 2019 with a standardized treatment algorithm were divided into non-traumatic (offered physiotherapy) and traumatic (offered surgery) groups and evaluated at discharge. Subsequently, midterm outcomes were assessed via a postal questionnaire with a subjective SCJ stability score, Oxford Shoulder Instability Score (OSIS, adapted for the SCJ), and pain visual analogue scale (VAS), with analysis on an intention-to-treat basis. Results: A total of 47 patients (50 SCJs, three bilateral) responded for 75% return rate. Of these, 31 SCJs were treated with physiotherapy and 19 with surgery. Overall, 96% (48/50) achieved a stable SCJ, with 60% (30/50) achieving unrestricted function. In terms of outcomes, 82% (41/50) recorded good-to-excellent OSIS scores (84% (26/31) physiotherapy, 79% (15/19) surgery), and 76% (38/50) reported low pain VAS scores at final follow-up. Complications of the total surgical cohort included a 19% (5/27) revision rate, 11% (3/27) frozen shoulder, and 4% (1/27) scar sensitivity. Conclusion: This is the largest midterm series reporting chronic anterior SCJ instability outcomes when managed according to a standardized treatment algorithm that emphasizes the importance of appropriate patient selection for either physiotherapy or surgery, based on a history of trauma. All but two patients achieved a stable SCJ, with stability maintained at a median of 70 months (11 to 116) for the physiotherapy group and 87 months (6 to 144) for the surgery group. Cite this article: Bone Jt Open 2022;3-10:815-825.
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Reliability, the ratio of the variance attributable to true differences among subjects to the total variance, is an important attribute of psychometric measures. However, it is possible for instruments to be reliable, but unresponsive to change; conversely, they may show poor reliability but excellent responsiveness. This is especially true for instruments in which items are tailored to the individual respondent. Therefore, we suggest a new index of responsiveness to assess the usefulness of instruments designed to measure change over time. This statistic, which relates the minimal clinically important difference to the variability in stable subjects, has direct sample size implications. Responsiveness should join reliability and validity as necessary requirements for instruments designed primarily to measure change over time.
In the specialty of orthopedic surgery, most conditions impact tremendously on patients' quality of life but not on the length of their life. Therefore, it only makes sense to consider the measurement of health-related quality of life when assessing the relative efficacies of the treatments that are available. Traditional objective measures of patient outcome have included range of motion, strength, and radiographic variables. These measures are usually very poor indicators of the functional and psychological aspects of patient health. Subjective measures of quality of life, when rigorously developed, have been found to be more reliable and valid. Additionally, it has been found that older instruments reflect the fact that they were developed at a time when little information was available on the appropriate methodology for instrument development. However, it is clear that much progress has been made in the area of orthopedic surgery, and currently there is an appropriate instrument for each of the main conditions of the shoulder. Investigators planning clinical trials should select one of the modern instruments developed with appropriate patient input for item generation and reduction, established validity, and reliability. All things being equal, the most responsive instrument available should be used to minimize the sample size for the proposed study. The shoulder instruments reviewed in this article include the Rating Sheet for Bankart Repair (Rowe); ASES Shoulder Evaluation Form; UCLA Shoulder Score; The Constant Score; Disabilities of the Arm, Shoulder, and Hand (DASH) Outcome Measure; the Shoulder Rating Questionnaire; the Western Ontario Osteoarthritis of the Shoulder Index (WOOS); the Western Ontario Rotator Cuff Index (WORC); the Western Ontario Shoulder Instability Index (WOSI); and the Rotator Cuff Quality of Life (RC-QOL).