Open Access
Issue
SICOT-J
Volume 2, 2016
Article Number 27
Number of page(s) 4
Section Hip
DOI https://doi.org/10.1051/sicotj/2016018
Published online 03 June 2016

© The Authors, published by EDP Sciences, 2016

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Introduction

Various scoring systems are available for the assessment of hip function. Unfortunately most of these are not suitable for use in patients presenting with hip fracture [1]. Those who sustain hip fractures are not always fit and well in their injury state [2]. They may already require assistance at home with personal care or reside in institutional care prior to admission. In particular, a significant proportion of patients suffer with a degree of cognitive impairment [3, 4]. Failure to allow for such groups within a scoring system limits any potential role in research and audit.

Performing repeated clinical assessments within this cohort can be problematic. The frail elderly may be unable to attend clinics without the provision of hospital transport or additional carers. Postal questionnaires are an available option, although obtaining responses can be challenging, particularly in patients with cognitive impairment [5, 6]. A system that can be used readily via telephone, either on its own or to support a postal survey, is highly desirable [7, 8].

The aim of this study was to review and refine previous assessment systems to develop a simple and reliable assessment method that can be used for all hip fracture patients.

Patients and methods

We reviewed commonly used assessment and evaluation methods that had been in common use for hip fracture patients. From these we identified three principal components: pain at the hip, walking ability and functional independence relating to daily care needs. The aim was then to formulate a linear scale for these outcomes. Our system was based on using higher scores to represent a poorer degree of mobility, increased social dependence and increased pain in the hip. All these were based on the previous evaluation scores.

The mobility scale (Table 1) was modified from that of previous scores [9, 10]. A score of one represents a patient who has no need for any walking aid and has no restriction in walking distance, through to 10, which represents a bedbound individual.

Table 1.

Mobility scale.

Social dependency (Table 2) was based on previous scales, with Activities of Daily Living (ADL) given a value of one for a person who is completely independent and living at home not requiring any support or assistance, to eight which is a fully dependant requiring patient requiring care in hospital [11]. The ADL considered include the basic activities of washing, dressing, toileting and eating. We considered more advanced ADL to be housework, cooking and shopping (these activities require planning, stepwise execution and a potentially greater level of physical effort).

Table 2.

Social dependence scale.

The pain scale we have used is modified from that of Charnley to specifically reflect pain originating from the hip (Table 3) [12]. A score of zero is given if the patient or their attendant carer is unable to answer, else the pain is rated one (no pain in the hip) to eight (constant and severe pain requiring regular strong analgesia).

Table 3.

Pain scale.

To evaluate the reliability of these scores, 50 patients, who had previously sustained hip fracture, were assessed at their follow-up appointments by two orthopaedic clinicians (one Consultant and one Specialist Orthopaedic Resident). Patients were seen independently without conferring and all results collected independently until the end of the study. Patients were assessed on an “as seen” basis. This, as much as possible, allowed a representative sample of patients with hip fracture in our local population, including those with cognitive impairment. We did not select patients based on either fracture pattern or treatment method.

To assess the ability of the mobility and independence scores to predict mortality at one year from injury, a further 381 consecutive hip fracture patients were admitted to one unit. All patients were assessed at one year from injury to determine mortality. Three patients could not be contacted and enquiry was made to the Office of Population Censuses to check whether these patients had not died. The mean age of these patients was 80.5 years (range 39–105 years) and 274 (72%) were female. At the time of injury 288 (76%) were admitted from their own home, 57 (15%) from residential care, 19 (5%) from nursing homes, 16 (4%) sustained a fall while acutely admitted in hospital. All these patients were scored on admission using the new mobility and social dependency scores by a single observer. The assessment was for their score at the time just before the injury.

Statistical analysis

The intra-observer reliability between the two clinicians was measured using a Weighted Cohen’s Kappa test, performed using a desktop statistics package. Kappa is a coefficient of agreement which has a value varying from +1 representing perfect agreement, through zero representing an agreement no better than chance, to −1, absolute disagreement. There is no definite definition of level of agreement which is acceptable but values of 0.75 are felt to represent excellent agreement, 0.75–0.5 is good and less than 0.5 is poor agreement [13]. The mean scores for those patients who died were compared to the mean scores for the survivors by t-test.

Results

Mobility, social dependence and pain scoring

The mean scores and standard deviation for the three domains assessed by each rater are summarised in Table 4.

Table 4.

Mean scores and standard deviation.

Inter-observer reliability

In the assessment of mobility and social dependency, excellent inter-observer correlation was demonstrated with kappa values of 0.77 and 0.82 (Table 5). The pain score showed a lower kappa value of 0.5 representing good agreement.

Table 5.

Inter-observer agreement.

Mortality prediction at one year

Eighty-six (29%) of the consecutive series of 381 patients had died at one year from injury. The mean mobility scores for those patients who died were 4.5 versus 3.2 for those who were alive at one year (p < 0.0001). The mean social dependency score was 4.9 for those who had died, versus 3.2 for those who were alive at one year (p < 0.0001).

Discussion

There is a need for a universally accepted assessment method to define the outcome after a hip fracture [1]. The most important outcome measures are mortality, residual pain, regain of mobility and regain of independence. Any assessment system must be suitable for use for all types of patients including those in institutional care and those with dementia. Because of the fragility of some patients the assessment may need to be carried out over the phone if the patient cannot attend the outpatient review and it must be easy to complete with an acceptable degree of intra-observer variation. The assessment system described here satisfied all these criteria. In addition, the linear scales used allow the patient progress to be monitored.

In addition, any assessment of function must take into account the patient’s pre-fracture status. The traditional scoring systems such as the Harris Hip Score [14], described for use on young patients with acetabular fractures, assume normal pre-injury hip function. This is clearly incorrect and inappropriate for the hip fracture population. For example, a patient who before breaking their hip walked with a Zimmer frame and at follow-up had identical mobility with a pain-free hip would be graded as a “fair” outcome out of a possible range of excellent, good, fair and poor. Some studies have tried to correct for this by subtracting from the Harris Hip Score an assessment of the pre-fracture walking ability, but this results in the pain assessment becoming the predominate part of the score. We have to strongly support previous work that stated summating different outcomes into a single score is illogical and not appropriate for this group of patients [15, 16].

The scoring system we have employed in this case produced similar mean scores for all three domains, which when further analysed using a Weighted Cohen’s kappa test demonstrated excellent correlation between both clinicians when assessing Mobility and Social Dependence. Significantly, in the one-year data, we demonstrated that higher scores in these domains were independently associated with a greater risk of mortality. This is in line with the previously published scoring system, which conferred a similarly high level of risk to patients with poorer mobility and increased social dependence.

Pain scoring proved to be problematic. Although there was a moderate agreement between both observers in the study, it was not to the same degree as that seen in assessment of mobility and social dependence. This may reflect a degree of subjectivity in perception of a patient’s pain by both the patient and the clinician. It is easy to observe a patient’s mobility and what walking aids they may require and similarly, what social support they are requiring to meet a satisfactory standard of personal care, but less clear as to how pain affects a patient. Pain perception and tolerance is highly multifactorial and varies between individuals and indeed in the same individual depending on a variety of confounding factors [17]. Therefore, it is unrealistic to expect the pain score to show a strong degree of inter-observer correlation.

The assessment system suggested here can be readily employed at the time of admission by the admitting orthopaedic clinician as part of their standard clerking, or at a suitable time in the peri-admission period by another orthopaedic practitioner [18]. Scoring can then be repeated in the follow-up period and return to function noted in a linear fashion. As an extension of this, it may be possible as a result of repeated assessments to identify patients whose progression is slow and target them for enhanced rehabilitation measures or additional orthopaedic assessment to check on the hip surgery.

Many previous assessment systems also collect information on limb length discrepancy, rotation and range of motion. This data requires the patient to be able to attend for and be compliant with the examination, which is not always the case in this patient group. Additionally, it is worth considering that the contralateral limb may not be “normal” to allow direct comparison, it is estimated that, in this cohort of patients, 9% will have had previous hip fracture or elective hip surgery [19].

In summary, the pain, mobility and social dependency scores both demonstrate good to excellent intra-observer variability and a significant predictive value in mortality at a year post-injury. By assessing these domains independently, we can develop a more accurate clinical picture of our patients and focus on specific issues, such as provision of appropriate mobility aids and prescription of sufficient analgesia to maintain quality of life.

This demonstrates the extent to which often the most simple, straightforward questions a clinician will ask their patient or those caring for them can be the most vital indicators of progression following injury and surgical treatment. These can be used as a standalone measure to observe a linear progression of functional regain and mortality prediction, as well as being used in research and audit studies.

Conflict of interest

MP has no conflict of interest directly in relation to this work. He has received expenses and honoraria from a number of commercial companies and organisations for giving lectures on different aspects of hip fracture treatment. In addition, he has received royalties from B. Brawn Ltd related to the design and development of an implant used for the internal fixation of intracapsular hip fractures.

Acknowledgments

This work has been approved by the appropriate Ethical Committee related to the institution in which it was performed and subjects gave informed consent to the work.

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Cite this article as: Bowers TM & Parker MJ (2016) Assessment of outcome after hip fracture: development of a universal assessment system for hip fractures. SICOT J, 2, 27

All Tables

Table 1.

Mobility scale.

Table 2.

Social dependence scale.

Table 3.

Pain scale.

Table 4.

Mean scores and standard deviation.

Table 5.

Inter-observer agreement.

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