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G Salkeld a Social and Public Health
Economics Research Group (SPHERe), Department of Public Health and
Community Medicine, University of Sydney, New South Wales 2006, Australia, b Department of Public Health
and Community Medicine, University of Sydney, c Rehabilitation Studies Unit, Department of Medicine,
University of Sydney, PO Box 6, Ryde, New South Wales 1680, Australia, d Hornsby
Ku-ring-gai Hospital, New South Wales 2077, Australia
Correspondence to: G
Salkeld glenns{at}pub.health.usyd.edu.au
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Abstract |
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Objective:
To estimate the utility (preference for
health) associated with hip fracture and fear of falling among older women.
Hip fractures are a major cause of morbidity and mortality, and
almost all occur after a fall.1 In the next 50 years the number of hip fractures will probably increase
greatly.1-3 About 20% of people who fracture their hips
are dead within a year,4-6 and many of those who recover
from hip fracture require additional assistance in daily
living.
4 7
Population data tend to obscure the personal
impact of falls and hip fracture. Objective measures of function, such
as activities of daily living8 and subjective utility
based measures of health related quality of life,9 can
express the personal dimension. Hip fracture adversely affects health
related quality of life, with greater physical recovery reflected in
better quality of life.10 Thus, health related quality of
life is an important outcome for studies attempting to reduce the
number of falls or their consequences.11 As part of an
ongoing randomised trial (the community hip protector trial) that is
examining the effectiveness of hip protectors in older women living in
the community we sought to estimate the utility (preference for health)
associated with falls that cause a fear of falling or hip fracture in
older women.
Study participants Health states Interview schedule Scoring the time trade off response Sample size Baseline health assessment Test-retest reliability study Distribution of the time trade off scores From 1 September 1997 to 31 December 1998 we completed 203 quality of life interviews. There were 84 respondents in the
intervention group, 76 in the control group, and 43 in the refusers
group. The response rate by group (the number of interviews divided by the number of people asked for an interview) was 86%, 88%, and 31%,
respectively. Each interview took, on average, 63 minutes to complete.
Table 1 presents a summary of respondent characteristics and health
status. There were no significant differences between the groups in
self rated health, in the short form-12, activities of daily living, or
EQ-5D (t test and
Table 1.
Design:
Quality of life survey with the time trade off
technique. The technique derives an estimate of preference for health
states by finding the point at which respondents show no preference
between a longer but lower quality of life and a shorter time in full health.
Setting:
A randomised trial of external hip protectors for older women at risk of hip fracture.
Participants:
194 women aged
75 years enrolled in
the randomised controlled trial or who were eligible for the trial but
refused completed a quality of life interview face to face.
Outcome measures:
Respondents were asked to rate their
own health by using the Euroqol instrument and then rate three health
states (fear of falling, a "good" hip fracture, and a "bad" hip
fracture) by using time trade off technique.
Results:
On an interval scale between 0 (death)
and 1 (full health), a "bad" hip fracture (which
results in admission to a nursing home) was valued at 0.05;
a "good" hip fracture (maintaining independent living in the
community) 0.31, and fear of falling 0.67. Of women surveyed, 80%
would rather be dead (utility=0) than experience the loss of
independence and quality of life that results from a bad hip fracture
and subsequent admission to a nursing home. The differences in
mean utility weights between the trial groups and the refusers
were not significant. A test-retest study on 36 women found that
the results were reliable with correlation coefficients within classes
ranging from 0.61 to 0.88.
Conclusions:
Among older women who have exceeded
average life expectancy, quality of life is profoundly threatened by
falls and hip fractures. Older women place a very high marginal value on their health. Any loss of ability to live independently in the
community has a considerable detrimental effect on their quality of life.
![]()
Introduction
Top
Abstract
Introduction
Methods
Results
Discussion
Appendix
References
![]()
Methods
Top
Abstract
Introduction
Methods
Results
Discussion
Appendix
References
The community hip protector
study is a randomised controlled trial involving women aged 75 years
and older who are at high risk of hip fracture and who live in their
own homes. Older women living in the northern suburbs of Sydney,
Australia, who had contact with an aged care health service and met
inclusion criteria were invited to participate in the study. These
criteria were age greater than 74 years; two or more falls, or one fall resulting in hospital treatment, in the past year; at least one hip
without previous surgery; likely to continue to live in the community
for at least three months; likely to survive for at least one year;
English speaker; and able to give informed consent.12 A
sample of women from the hip protector trial as well as a group of
women who had refused to participate in the trial were approached to
participate in the quality of life study. The sample included all women
randomised into the trial (or who refused to enter the trial) from
April 1997 to July 1998. Thus the study elicited values from women who
had direct experience in wearing the hip protectors (the intervention
group), women who did not have experience in wearing the hip protectors
but were aware of the trial (the control group), and women who had
refused to participate in the trial because they would not wear the hip
protectors if randomised to the intervention group (refusers). The
study was approved by the ethics committees of participating hospitals.
The quality of life interview schedule was administered to the women
six months after they were recruited into the trial (or after refusal
to enter).
To develop descriptions of health states
we reviewed the literature and interviewed older women. Sixteen open ended quality of life interviews were conducted with women who had had
no contact at all with trial and who had experienced a hip fracture.
The interviews helped to define the dimensions of quality of life most
affected by a hip fracture and the language used by women to describe
their experiences. Data from the qualitative research and clinical
opinion were used to generate four "name labelled" health states.
The health states were full health (Anne), fear of falling (Mary), a
good hip fracture (Jean
where the respondent returns from hospital to
independent living in the community), and a bad hip fracture
(Elizabeth
where the respondent moves to a nursing home). (See the
Appendix for descriptions of the health states.)
Respondents were introduced to the
purpose of the quality of life study and the format of the interview. Each respondent was asked to rate her own health for each of the five
dimensions of Euroqol (EQ-5D) and to assess whether her current health
was better, worse, or the same as it was 12 months ago. EQ-5D scores
were calculated by using the utility weights of values from a general
population survey in the United Kingdom.
13 14
In the next
stage of the interview, respondents were introduced to the four health
states. They were asked to rank the four health states from best to
worst. Respondents were then asked to trade off shorter periods of life
in full health for longer periods of life with lower quality of life.
We used the converging "ping pong" technique to identify their
point of indifference.15 We used actual life expectancy as
the time horizon for our study. Women aged 75-84 years (most of our
study subjects) were given a 10 year time horizon; women aged 85 years
and older were given a five year time horizon. To mitigate any ordering
effects, the presentation of scenarios was randomly allocated before
the interview.
The time trade off
technique asks the respondent to choose between two alternatives, both of whose outcomes are known with certainty.14 In this
study participants were asked to consider living in a state of less than full health (h<full) for a defined
period of time (t=5 or 10 years, depending on their age)
and then die. The alternative was to live for a shorter period of time
in full health (hfull, represented by the
health state "Anne") and then die. The time (x) in
full health was varied until the subject was indifferent between the
two alternatives. The choice scenarios were presented to subjects in
six month and one year increments for the five and 10 year interview
schedules, respectively. If a respondent would trade off no more than
six months or one year (respectively) then they were asked to trade off
in smaller increments of one or two months, respectively. The utility
weight for each state is given by the formula
x/t.9
Power calculation data for comparisons of
mean utility scores for independent respondent groups were made by
using the guide by Furlong et al.15 We estimated that 70 women in each group would be needed to detect a difference in mean
utility scores of 0.1 on the interval scale where
=0.05, power=80%,
and SD=0.2 around the mean score. A 10% difference in mean utility score was chosen because it was considered that this represented an
important difference in quality of life.
The general health
status and functional capacity of participants was assessed at baseline
before randomisation into the trial. The short form-1216
and activities of daily living (Barthel) index8 were
administered to each participant in a face to face interview and scored
with published scoring algorithms.
We readministered the
interview schedule to 36 respondents three weeks after their initial
interview to assess the reliability of using time trade off in an older population group. The reliability of the utility weights was assessed with the intraclass correlation coefficient.17
The mean
utility weights for both hip fracture states were highly skewed towards zero. Therefore the Mann-Whitney test for comparing two independent samples has been used when appropriate.
![]()
Results
Top
Abstract
Introduction
Methods
Results
Discussion
Appendix
References
2 test statistic,
respectively). For all three groups about half the participants
reported that their health was worse when compared with their health 12 months previously.
Consistency of ranked health states with the time trade off
weight
We checked the consistency of the utility weights by comparing the
ranking for each of the four primary health states with the value
elicited by the time trade off technique. Nine respondents (four
control, four intervention, and one refuser) whose utilities were not
ranked in the expected order were excluded from further analysis of the
data.
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Descriptive analysis
time trade off utility weights
Health states
Table 2 shows the mean, median, and
interquartile range of time trade off scores for 194 subjects by state
and age group. Respondents in all groups placed a high marginal value
on health. The low mean (and median) utility weight for a "bad" hip
fracture (0.05 and 0.0, respectively) indicates that most women were
prepared to trade off considerable length of life to avoid the
reduction in quality of life that happens after a hip fracture. There
was greater variability in the utility weights for a "good" hip
fracture, with an interquartile range of scores from 0.0-0.65. The
distinguishing feature between a good and a bad hip fracture was
admission to a nursing home. Nearly all women would trade off almost
their entire life expectancy to avoid the state of being admitted to a
nursing home. Eighty per cent of respondents said that they would
rather be dead. The results were also analysed by respondent group.
Participants in the refuser group, who had refused to take part in the
hip protector trial, provided lower mean utility weights for each
health state compared with participants in either the control or
intervention group. There were, however, no significant differences in
utility weights between the respondent groups. We compared the
valuations of those women in our study who had previously fractured a
hip (25% of the total sample) with women who had not fractured a hip and there was no difference in values between these two groups.
The intraclass correlation coefficient (and
95% confidence intervals) for each health state were 0.88 (0.84 to 0.92) for fear of falling (Mary), 0.61 (0.48 to 0.75) for good hip
fracture (Jean), and 0.73 (0.69 to 0.76) for bad hip fracture (Elizabeth). Other time trade off studies have reported test-retest reliability coefficients ranging from 0.63 (at six weeks) to 0.87 at
one week or less.18-20 The values derived in this study
can be considered reliable.
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Discussion |
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The results of this study are very clear: older women place a very high marginal value on their health. The low mean utility weights for "Jean" and "Elizabeth" show that a hip fracture represents a profound threat to their health related quality of life. The single most important factor (threat) seems to be the loss of independence, dignity, and possessions that accompanies the move from living in their own homes to living in a nursing home. It is difficult to estimate accurately the proportion of women experiencing the "bad" hip fracture health state. Data from the Northern Sydney hip fracture audit, however, show that of women living at home before their hip fracture, 22% moved to nursing home care in the 12 months after fracture and only 24% were walking as well as before the fracture.21
The utility weights for hip fracture provide interesting contrasts with other health states. A casual observation would suggest that a hip fracture is worse than breast cancer (time trade off utility weight 0.75),22 myocardial infarction (0.90),23 or mild osteoarthritis (0.69).24 Direct comparisons are difficult because utility weights vary across age groups and application of the time trade off technique varies between studies, but our findings emphasise the gravity of hip fractures in the minds of older women who are at risk of sustaining this injury.
It is interesting to consider why women rate the utility of falls and especially hip fractures so low. These views have presumably been influenced by the experience of their parents, friends, and siblings. The views are largely congruent with the poor objective outcomes of hip fracture, although rather more dramatic in our view.21
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What is already known on this topic
There is almost no evidence on the acceptability, usefulness, and reliability of the time trade off technique as a method for assessing health values of older people living independently in the community The health values of hospitalised patients aged 80 years or older has been assessed with the time trade off technique (the HELP project) but until now evidence on quality of life fear of falling and hip fracture has been lacking What this paper addsHip fractures among older women can have a profound effect on quality of life Eighty per cent of women surveyed would rather be dead than experience the loss of independence and quality of life that results from a bad hip fracture and subsequent admission to a nursing home Any loss to living independently in the community has a significant detrimental effect on their quality of life, and it follows that a reduction in the incidence of hip fractures will not only save lives but will prevent a considerable reduction in their quality of life |
The results also highlight a valuation effect related to age. Respondents often commented that they were living on borrowed time (all had lived beyond a "normal" span of "three score years and ten") and that they had lived a good or fair life (a "fair innings").25 Although the quality of life interview did not specifically ask respondents about equity issues (such as who gets health care and how much), their verbal comments during the exercise revealed that they believed in the "fair innings" argument. Respondents did reflect on their health throughout their lifetime. They did not want to live on borrowed time at the expense of younger people. At their age, death was expected and preferable to a state of health that meant losing their home, their independence, and their normal quality of life. We had some concern about applying utility measurement techniques in a population aged in their 80s and 90s. There was almost no evidence on the acceptability, usefulness, and reliability of the time trade off technique versus other techniques for this age group. 20 26 We found that the very nature of the time trade off exercise encouraged the respondents to talk about the trade off between length of life and quality of life, a matter that most women had at least considered before the interview. Nearly three quarters of the participants found the time trade off questions easy or fairly easy, and just 8% of subjects found the questions very difficult. The intraclass correlation coefficients from the test-retest reliability study show that the time trade off technique is a reliable measurement tool in this age group.
The findings of this study should be applicable to all frail older women who have sustained injury after a fall or who have fallen without injury. The utility weights derived in this study should inform clinical management of falls, for both doctor and patient. These results support the implementation of interventions that have been shown to be effective in reducing falls and injury from falls in frail older women.27-29
Among older women who have exceeded average life expectancy, quality of
life matters. Older women place a very high marginal value on their
health. Any loss to living independently in the community has a
significant detrimental effect on their quality of life. It follows
that a reduction in the incidence of hip fractures will not only save
lives but will prevent a significant reduction in their quality of life.
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Acknowledgments |
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Contributors: GS was responsible for the original idea (quality of life study), study design, data analysis, and writing the paper; IDC was responsible for the original idea (randomised trial), study design, recruitment of subjects, and writing the paper; RGC participated in the study design, data analysis, and generation of health state descriptions; SE participated in data collection, qualitative research methods, and writing the paper; JS participated in the study design and data analysis; SEK participated in recruitment of subjects and generation of health state descriptions; SQ participated in qualitative research methods and generation of health state descriptions. GS is the guarantor.
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Footnotes |
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Funding: National Health and Medical Research Council of Australia Public Health Research and Development Grant.
Competing interests: None declared.
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Appendix |
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Full health
Anne
Anne is a similar age to you. She lives in her own home and
cares for herself. Anne is active in her local community and is out and
about with friends quite a bit. She swims regularly and enjoys visiting
her children each weekend. Anne walks without any aids and can manage
her 12 steps at home without any problems. She enjoys shopping and
cooking for herself. Anne does not need any help with the housework and
derives pleasure and relaxation from gardening.
Fear of falling
Mary
Mary is a similar age to you. She lives alone in her own home and
cares for herself. Mary is involved in community fundraising and enjoys
playing bridge. Mary recently had a fall. She did not break any bones
but was badly cut and bruised. She is scared of falling. Mary continues
to walk without aids. She still looks after herself and does her own
housework. Mary has been a bit depressed since her fall. She has
returned to her bridge group but is anxious when she is outside the
home because she is scared of falling again.
Good hip fracture
Jean
Jean is a similar age to you. She lives in her own home and cares
for herself. Before her fall Jean was out and about quite a bit with
her church group. She swam on a regular basis and occasionally looked
after her grandchildren. Jean broke her hip when she fell. She is
finding it difficult to do everything at home now that she walks with a
stick. She needs help in shopping as she no longer drives or feels
confident to shop alone. She can prepare only simple meals and is
missing being able to bake for her friends. Jean can no longer manage
the housework by herself. She misses her church activities but finds it
too painful and tiring to be out for long periods. Jean experiences
feelings of frustration and anger. Jean gets tearful thinking about all
the things she can't do.
Bad hip fracture
Elizabeth
Elizabeth is a similar age to you. Until her recent fall, she
lived in her own home and managed to care for herself. She was active
in her local community. Elizabeth broke her hip when she fell. She is
now unable to live alone as she requires a great deal of help to do
most things. Elizabeth now lives in a nursing home near to her family
but away from her friends. She is limited in where she can walk because
of the frame and is unable to walk for long distances. She is unable to
shower or dress without help from the nurse. She is unable to pursue
her gardening or community work. Her leg aches sometimes at night. She
has become anxious and is easily upset.
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References |
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| 1. | Kannus P, Niemi S, Palvanen M, Parkkari J. Fall-induced injuries among elderly people. Lancet 1997; 350: 1174[Medline]. |
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Kannus P.
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Cumming RG, Nevitt MC, Cummings SR.
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Cooper C, Atkinson EJ, Jacobsen SJ, O'Fallon WM, Melton 3rd LJ.
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Mossey JM, Mutran E, Knott K, Craik R.
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| 8. | Mahoney FI, Barthel DW. Functional evaluation: the Barthel index. Md State Med J 1965; 14: 61-65[Medline]. |
| 9. | Torrance GW. Measurement of health state utilities for economic appraisal: a review. J Health Econ 1986; 5: 1-30[CrossRef][Medline]. |
| 10. | Kane RL, Qing C, Finch M, Blewett L, Burns R, Moskowitz M. Functional outcomes of posthospital care for stroke and hip fracture patients under medicare. J Am Geriat Soc 1998; 46: 1525-1533[Medline]. |
| 11. | Torgerson DJ, Kanis JA. Cost-effectiveness of preventing hip fractures in the elderly population using vitamin D and calcium. QMJ 1995; 88: 135-139. |
| 12. | Cameron ID, Stafford B, Cumming R, Birks C, Lockwood K, Quine S. Hip protectors improve falls self-efficacy. Age Ageing (in press). |
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Dolan P, Gudex C, Kind P, Williams A.
The time trade-off method results from a general population study.
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| 15. | Furlong M, Feeney D, Torrance GW, Barr R, Horsman J. Guide to design and development of health-state utility instrumentation. Ontario: Centre for Health Economics and Policy Analysis, McMaster University, 1990. (Working paper series No 90-9.) |
| 16. | Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JN, Brazier JE. Cross validation of item selection and scoring for the SF-12 health survey in nine countries: results from the IQOLA project. International quality of life assessment. J Clin Epi 1998; 51: 1171-1178[CrossRef][Medline]. |
| 17. | Armitage PA, Berry G. Statistical methods in medical research. Oxford: Blackwell, 1984. |
| 18. | Forberg DG, Kane RL. Methodology for measuring health-state preferences. 11. Scaling methods. J Clinical Epidemiol 1989; 42: 459-471[CrossRef][Medline]. |
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Nease RF, Kneeland GT, O'Connor W, Sumner C, Lumpkins L, Shaw L, et al.
Variations in patient utilities for outcomes of the management of chronic stable angina: implications for clinical practice guidelines. Ischaemic health disease patient outcomes research team.
JAMA
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| 20. | Brazier J, Deverill M, Green C, Harper R, Booth A. A review of the use of health state measurements in economic evaluation. Health Tech Assess 1999; 3: 1-164. |
| 21. | March L, Chamberlain A, Cameron I, Cumming RG, Kurrle SE, Finnegan T, et al. Prevention, treatment and rehabilitation of fractured neck of femur. In: Report of the Northern Sydney area fractured neck of femur health outcomes project. Sydney: Northern Sydney Area Health Service, 1996. |
| 22. | Richardson J, Hall J, Salkeld G. The measurement of utility in multiphase health states. Int J Technol Assess Health Care 1996; 12: 151-162[Medline]. |
| 23. | Glasziou P, Bromwich S, Simes RJ. Quality of life six months after myocardial infarction treated with thrombolytic therapy. Med J Aust 1994; 161: 532-536[Medline]. |
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Laupacis A, Bourne R, Rorback C, Feeny D, Wong C, Tugwell P, et al.
The effect of elective total hip replacement on health-related quality of life.
J Bone Joint Surg
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1619-1626 |
| 25. | Williams A. Intergenerational equity: an exploration of the "fair innings" argument. Health Economics 1997; 6: 117-132[CrossRef][Medline]. |
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Tsevat J, Dawson NV, Wu AW, Lynn J, Soukup J, Cook EF, et al.
Health values of hospitalised patients 80 years or older.
JAMA
1998;
279:
371-375 |
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Tinetti ME, Baker DI, McAvay G, Claus EB, Garrett P, Gottschalk M, et al.
A multifactorial intervention to reduce the risk of falling among elderly people living in the community.
N Engl J Med
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821-827 |
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Campbell AJ, Robertson MC, Gardiner MM, Norton RN, Tilyard MW, Buchner DM.
Randomised controlled trial of a general practice programme of home based exercise to prevent falls in elderly women.
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(Accepted 24 September 1999)
Shanthi N Ameratunga a Injury Prevention Research Centre,
Department of Community Health, Faculty of Medicine and Health
Sciences, University of Auckland, Private Bag 92019, Auckland, New
Zealand, b Department of Community Health, Faculty of Medicine
and Health Sciences
Correspondence to: S Ameratunga
s.ameratunga{at}auckland.ac.nz
The 20th century witnessed the addition of 30 years to our
life expectancy and the ageing of the "baby boom" generation. With the global population of people aged over 75 projected to increase by
almost 140% from 1990 to 2020,1 the article by Salkeld et al is a timely and provocative exploration of the threat to the quality
of life of older people posed by falls and hip fracture. The results
suggest older Australian women place a high marginal value on their
health and independence, with 80% preferring death to a "bad" hip
fracture that would result in admission to a nursing home.
Health values, preferences, or utilities are incorporated
directly or indirectly in the development of interventions and
allocation of resources for the prevention and treatment of hip
fractures. A salient question is whose values? The
values expressed by older people may differ substantially from those of
surrogate decision makers (for example, caregivers, health providers,
or funding authorities).2 Salkeld et al use a subjective
preference based measure to explore the perspective of older people
regarding the quality of life after falls and hip fracture. The
findings are neither interchangeable with nor a substitute for previous
research conclusions primarily based on mortality statistics,
clinical indices, and "objective" psychometric health status
measures. Prospective controlled population based studies that use such objective measures have shown dramatic declines in physical function and mobility and concurrent increases in functional dependence and
institutionalisation directly attributable to hip
fractures.
3 4
While the correlation between psychometric
and preference based measures is typically modest,5 the
research findings of Salkeld et al are broadly complementary and
support the conclusion that hip fractures are a serious threat to
the quality of life of older people.
The finding that as many as 80% of older women preferred death to a
"bad" hip fracture is disturbing. Such a preference for death,
however, is not unique and has been observed in relation to chronic
states such as coma, recurrent pain, severe dysfunction, and, indeed,
institutionalisation and social isolation.6
Although the respondents in this study may have been
"sensitised" to the adverse outcomes of fractures because of their
association with a hip protector trial, the assigned values did not
significantly differ between those who did or did not
participate in the trial or those who had or had not experienced a
previous hip fracture.
How then are we to interpret this finding? The limited qualitative
analysis suggests the preferences expressed were substantially influenced by respondents' concerns regarding the loss of independence after a hip fracture. The results do not, however, imply that 80% of
older women who experience a "bad" fracture would prefer death to
treatment. The preferences of individuals who have not experienced such
a fracture may change over time because of the moderating influences of
adaptation, coping, and adjustment. Others have observed significant
differences in values assigned to current compared with future health,
temporary compared with chronic illness, and hypothetical compared with
personal experiences.6-8 The findings are also likely to
be specific for time, culture, and context.
5 9
The
"bad" hip fracture descriptor may be less potent in a community where the health and quality of life of older people is not equated with their ability to live and function independently.
Notwithstanding the above, the study has important implications
for individual patient care and preventive interventions relating to
falls and hip fracture. It affirms the need for rehabilitation programmes to focus not only on enhancing patients' mobility and functional activities but also to optimise their ability to live independently and participate in social and other aspects of community life. More particularly, the findings indicate the need for older people to be active participants in the decision making around priorities for the prevention and management of falls and hip fracture.
The "cognitive burden" implied in empirical studies of health
preferences does not vitiate the importance of these processes.
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References |
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| 1. | Murray CJL, Lopez AD, eds. The global burden of disease. , Vol 1 Geneva: World Health Organisation, 1996. |
| 2. | Tsevat J, Dawson NV, Wu AW, Lynn J, Soukup JR, Cook EF, et al. Health values of hospitalised patients 80 years and older. JAMA 1998; 279: 371-376. |
| 3. | Norton R, Butler M, Robinson E, Lee-Joe T, Campbell AJ. Declines in physical functioning attributable to hip fracture among older people: a follow-up study of case-control participants. Disability Rehabil (in press). |
| 4. |
Cumming RG, Klineberg R, Katelaris A.
Cohort study of risk of institutionalisation after hip fracture.
Am J Public Health
1996;
86:
557-560 |
| 5. | Revicki DA, Kaplan RM. Relationship between psychometric and utility-based approaches to the measurement of health-related quality of life. Qual Life Res 1993; 2: 477-487[CrossRef][Medline]. |
| 6. | Patrick DL, Erickson P. Health status and health policy: quality of life in health care evaluation and resource allocation. New York: Oxford University Press, 1993. |
| 7. | Ashby J, O'Hanlon M, Buxton MJ. The time trade-off technique: how do the valuations of breast cancer patients compare to those of other groups? Qual Life Res 1994; 3: 257-265[CrossRef][Medline]. |
| 8. | Froberg DG, Kane RL. Methodology for measuring health-state preferences: II. Scaling methods. J Clin Epidemiology 1989; 42: 459-471. |
| 9. | Loomes G, McKenzie L. The use of QALYs in health care decision making. Soc Sci Med 1989; 28: 299-308. |
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