Abstract
Little is known about costs of waiting for orthopaedic outpatient specialist consultations. A subset of papers on costs of waiting was identified from the body of literature identified in a systematic scoping review registered with Prospero (registration CRD42016047332), with the aim of exploring the impact of waiting for orthopaedic outpatient specialist consultations. Medline, Embase, Pubmed, and NHS Economic evaluation database (NHS-EED) were searched from inception until February 2018. The systematic scoping search yielded 139 articles, of which four reported specifically on costs (papers published 2002, 2005, 2009, 2012). All papers reported on hip and/or knee complaints. Cost data was extracted, described and standardised as Australian dollars (AUD$). This review identified limited, non-current evidence on economic costs of waiting for outpatient orthopaedic surgical consultations. Whilst heterogeneous cost items, timing of collection, and dispersion measures constrained synthesis, it appears that direct and indirect costs of waiting may be significant to patients and health systems. Pharmaceuticals were the most common cost (from $263-$1,912). Future research into costs of waiting for orthopaedic conditions should report standardised cost measures, taken at standard time periods throughout the waiting period.
Keywords
cost, orthopaedic, musculoskeletal, management, treatment, waiting list.
Introduction
Musculoskeletal disorders are the second highest contributor to years lived with disability (YLDs) worldwide, after mental and emotional disorders [1,2]. Musculoskeletal disorders contributed 21.3% to worldwide YLDs in 2010 [1] and osteoarthritis is predicted to be the leading cause of disability by 2020 [2]. While rarely fatal, musculoskeletal conditions pose economic and personal burdens on individuals and society e.g. healthcare costs, disruption to daily life and lost productivity [3-6].
Adding orthopaedic patients to outpatient waiting lists for specialist consultations has been a deliberate move over the last decade by policy makers in developed countries, to manage the mismatch between increasing prevalence of orthopaedic conditions requiring specialist consultations, and limited numbers of orthopaedic surgeons and rheumatologists [4,7]. Whilst waiting lists might be an effective health systems way of protecting the daily workload of consultants [3], it is reasonable to suspect that long waiting times for specialist consultations pose unmeasured economic burdens for patients, healthcare systems and society [8-10]. For instance, patients may have out-of-pocket expenses for formal or informal care required to manage their condition whilst they are waiting. There are potential societal losses of productivity because of absenteeism from work [11,12], job loss [13] or presenteeism [14]. To our knowledge, there is no review to date that explores the costs of waiting for specialist consultation for orthopaedic conditions.
This paper reports on a subset of data from a larger systematic scoping review, which investigated the peer-reviewed literature on the impact of waiting for orthopaedic care [15]. This paper reports on available data on the costs of being placed on an outpatient waiting list for orthopaedic consultation to individuals, healthcare systems and society.
Methods
The evidence base
The review was registered with Prospero (registration CRD42016047332), and the complete search methods were reported previously [15]. Database were searched from inception until February 2018. This systematic review was conducted to answer the broad question of ‘impact of waiting for orthopaedic specialist appointment’. The search approach is summarised in Appendix 1.
Critical appraisal
The National Health and Medical Research Council hierarchy of evidence was used to rank study designs [16]. Included articles were critically appraised by two independent reviewers using the appropriate Critical Appraisal Skills Program (CASP) checklists [17,18].
Data extraction
Data was extracted on author name and publication date, country, study design, population characteristics (including affected body part), reasons for waiting, waiting time, cost collection date, items, method, perspective, and currency. The cost variables were classified as healthcare costs (e.g. pharmaceutical costs), direct and indirect patient costs (e.g. out-of-pocket on medical and privately funded care), community costs (e.g. meals, community transportation), and productivity loss costs including costs associated with absenteeism, presenteeism or job loss.
Cost standardisation
To deal with potential heterogeneity in the cost data in terms of date of publication, and country, of research, costs were standardised as Australian dollars, using the average of each currency exchange rate in the year that the costs were reported. The converted costs were brought forward in time to the 2016 value, using the Australian consumer price index as a measure of inflationary considerations. To account for differences in time points when costs were collected, all costs were valued at the beginning of the year in which they are reported using the Pharmaceutical Benefits Advisory Committee (PBAC) recommended discount rate of 5% [19] where necessary. When the year for the costs collection was not specified, the costs were valued at two years prior to the publication of the paper, as a normal delay from the collection of the data to the publication [13].
Results
Body of evidence
The systematic scoping search yielded 139 articles, of which four reported specifically on costs (Figure 1). These studies formed the dataset analysed for this paper. The studies comprised one RCT [20] (published 2009) and three prospective observational studies [10,21,22] (published 2005, 2002, 2012 respectively). All studies were of moderate methodological quality [15] (Table 1).
Table 1. Aetiology hierarchy.
Papers |
NHMRC |
Critical Appraisal CASP economic tool |
PeDro |
Tuominen, et al. [20] |
II |
N/A |
8/11 |
March, et al. [21] |
III-3 |
9/14 |
N/A |
Fielden, et al. [10] |
III-3 |
9/14 |
N/A |
Rolfson, et al. [22] |
III |
9/14 |
N/A |
Figure 1. Consort diagram.
Table 2 reports the cost data and demonstrates its heterogeneity. Perspectives were unclear in two studies [10,20], one used a societal perspective [22] and the remaining one took a patient perspective [21]. Cost collection methods were by questionnaire [20,22] or cost diary [10,21]. All studies investigated patients with hip complaints waiting for joint replacements, and one also included knee complaints (also waiting for joint replacement) [21].
Table 2. Current evidence for cost of waiting for management/treatment of orthopedic/musculoskeletal complaints: reported cost items.
|
Rolfson et al. [22] |
March et al. [21] |
Fielden, et al. [10] |
Tuominen, et al. [20] |
Cost perspective |
Societal |
Patient |
Not stated |
Not stated |
Costing year |
October 2005-December 2006 |
During 1994 and 1995 |
April 1999 and March 2002 |
August 2002 November 2003 |
Cost information |
Average per patient per year before the surgery and confidence interval |
Average per patient on the 3 month before the surgery |
Mean without standard deviation and median values over the period of waiting |
Average per week and standard deviation/average total cost on the waiting period and standard deviation |
Collection methods |
Survey using a questionnaire |
Survey using a cost diary |
Survey using a cost diary |
Survey using a questionnaire |
COST ITEMS |
|
|
|
|
Healthcare costs |
|
|
|
|
Pharmaceutical |
P |
P |
P |
P |
Other costs (healthcare professional visits, tests) |
NR |
P |
NR |
NR |
Personal costs |
|
|
|
|
Out-of-pocket (on medical or privately funded care) |
NR |
P |
P |
NR |
Private home help, gardener, private taxi/ travel cost, transportation |
NR |
P |
P |
NR |
Special equipment, Home modifications |
NR |
|
NR |
NR |
Community resources costs |
|
|
|
|
Meals, transport, home care |
NR |
P |
NR |
NR |
Transportation |
P |
NR |
NR |
NR |
Home modification |
P |
NR |
NR |
NR |
Indirect costs |
|
|
|
|
Method to estimate indirect costs |
Used the value-of-lost-leisure-time principle or the replacement costing method when employed |
|
Lost wage identified in the diary or average wages adjusted for times when leisure or household activities were affected, rather than employment |
|
Productivity loss (time away from work or usual activities) |
P |
NR |
P |
NR |
Informal care |
P |
NR |
NR |
NR |
Disability pension |
P |
NR |
NR |
NR |
- : Reported , NR: Not reported
|
Average waiting periods reported on three studies ranged from 2.4 months to 6.4 month [10,20,22], and waiting for consultation was 5.8 months [22].
The lack of standard data collection for costs precluded meta-analysis. After standardising costs, the average total costs incurred whilst waiting on an orthopaedic outpatient list varied between AUD$ 621 and AUD$ 15,980 per year. Pharmaceutical costs were the most commonly-reported, from AUD$ 263 to AUD$ 1,912 per year (Table 3). Two studies compared pharmaceutical costs for patients with short, and long, waiting periods, although there were definitional differences in the waiting periods [10,20]. Long waiting was defined as either longer than six months [10] or more than three months [20], which underpinned the differences in total medication costs during the waiting periods.
Table 3. Current evidence for cost of waiting for management/treatment of orthopedic/musculoskeletal complaints: reported costs (AUD). |
|
|
|
Rolfson, et al. [22] |
March, et al. [21] |
Fielden, et al. [10] |
Tuominen, et al. [20] |
Country |
Sweden |
Australia |
New Zealand |
Finland |
Study design |
prospective |
Prospective |
Prospective |
Randomised control trial (RCT) |
Population: Age |
26-95 years |
63.3 (SD=11.7) |
70.4 (SD=7) |
35-85 years |
66 (SD=9.8) |
64 (SD=10.1) |
Population: Size |
2,635 |
76 |
98 |
86 |
36 |
122 |
92 |
170 |
Body part |
Hip |
Hip |
Knee |
Hip |
|
|
Hip |
|
Waiting reason |
Consultation |
Surgery |
Surgery |
Surgery |
Surgery |
|
|
Surgery |
Surgery |
Mean of waiting time (month*) |
5.8 [95% CI 5.4-6.01] |
4.7 [95%CI: 4.6-4.9] |
NR |
NR |
NR |
NR |
5.1 |
2.4 [95%CI: 1.3-3.6] |
6.4 month [95%CI: 5.5-7.2] |
Costs |
Reported last 12 month before the surgery |
Reported last 3 month before the surgery normalized on 12 month |
Group ≤ 6 month |
Group > 6 month |
|
Short waiting group (SWT) ≤ 3 month |
No fixed waiting group (NFWT): > 3 month |
Healthcare costs |
2647 [95%CI: 2,188-3,107] |
1928 [95% CI: 1,151-2,706] |
1,133 [95% CI-522-1,743] |
404 (Median) |
503 (Median) |
1,912
(Mean on 12 month) |
|
|
Pharmaceutical |
263 |
1095 [95% CI: 653-1,536] |
566 95% CI[261-872] |
404 |
503 |
1,912 |
621 [95% CI: 524-736] |
670 [95% CI: 509-882] |
Other costs |
2,384 [95% CI:1,925-2,844] |
833 [95% CI: 498-1,170] |
567 [95% CI: 261-871] |
NR |
NR |
NR |
NR |
NR |
Personal costs |
1,326 [95% CI:1,100-1,552] |
1468 [95% CI: 876-2,060] |
839 [95% CI: 387-1,292] |
312 |
848 |
2,758 |
NR |
NR |
Community resources costs |
1,477 [95% CI: 1,266-1,688] |
947 [95% CI: 565-1,329] |
3,177 [95% CI: 1,464-4,890] |
NR |
NR |
NR |
NR |
NR |
Indirect costs |
10,530 [95% CI: 9,813-11,187] |
NR |
NR |
2,548 |
3,486 |
11,473 |
NR |
NR |
Average total costs |
15,980 [95% CI: 14,427-17,533] |
4,343 [95% CI:2,592-6,095] |
5,149 [95% CI: 2,372-7,925] |
|
|
16,144 |
621 [95% CI: 524-736] |
670 [95% CI: 509-882] |
* Transformed days in month dividing them by 30.42 days average days in month, NR: Not reported, CI: Confidence interval, SD: Standard deviation |
Personal costs included out-of-pocket expenses for the Medicare schedule-actual fee gap when patients attended community healthcare providers, over-the-counter medicines, travel costs and home help/ gardening that they could not do because of their orthopaedic condition. These were reported in three studies [10,21,22] and ranged from AUD$ 839 to AUD$ 2,758 per year. Other costs which may have been subsidised by community providers included home modifications, special equipment, government-funded homecare, home delivered meals and community transportation. These were reported in two studies [21,22] as AUD$ 947 and AUD$ 3,177 on average per year.
Society costs included productivity loss, reduction in income and revenue tax loss for the government. These were reported in two studies (between AUD$ 10,530 and AUD$ 11,473 per year) [10,22].
Only one study considered the whole spectrum of costs (community, societal, patient and healthcare costs) [22].
Discussion
This review identified four non-current studies, which in itself highlights the need for more current research into an area of increasing interest to patients, society and health systems. Despite their age (the oldest being 16 years old and the most recent being six years old), these studies consistently provide evidence of significant personal healthcare system and societal costs, whilst patients with hip or knee complaints wait for specialist orthopaedic consultation. Patients may consequently incur significantly increased personal direct and indirect costs than they would with more timely treatment, and they may be unable to contribute as anticipated to society because of worsening symptoms. Moreover, the treatment patients require when they eventually reach the ‘top of the waiting list’ may be more complex and costly, than the care required if received earlier in the waiting period. The effectiveness of ‘later’ treatment may also be reduced, if compared to the effects of timely treatment [23].
It is arguable whether, and how, the economic costs associated with lengthy waiting for outpatient specialist consultations are considered in the current demand management approach. For instance, it may be beyond the remit of hospital management to consider the effects of waiting on patients, such as direct and indirect costs of medication and interim treatments, their lifestyle choices, their capacity to self-manage, as well as lost opportunities for family and societal participation, employability and contribution to society. Moreover, the downstream impact on the broader health system may be too distant to be of concern to current governments or hospital management. However, if the evidence from this small number of non-current studies is indicative of the impact that delay in orthopaedic consultation has, it flags the need for alternative, more cost-efficient strategies in the short and long term, to better manage outpatient orthopaedic waiting lists for the benefit of all.
This review found heterogeneity, inconsistency, missing information and lack of comparability in how costs of waiting were defined, measured and calculated. Consistent definitions of waiting are required (for instance ‘short’ or ‘long’ waiting), and future research should attempt to apply a standardized format of costs for economic analysis, to improve comparability and transferability of findings. Costs should also be routinely collected on productivity loss. Whilst absenteeism from work is well recognised and able to be recorded, there is also the potential for loss for productivity when people suffering orthopaedic conditions are present at work (‘presenteeism’), but not able to perform to capacity due to pain and/or disability [14,24].
This review identified papers reporting only on patients awaiting total hip or knee replacement. These findings are not generalisable to other musculoskeletal complaints (such as upper limb or spine) because of different pathologies and likely impact on daily activities. Moreover, it is anticipated that current costs would be higher than those reported in the non-current included literature because of inflation and increased unmet needs for patients with chronic conditions.
Conclusion
On this limited, non-current body of evidence, it appears that placing patients on an outpatient waiting list for a specialist consultation for an orthopaedic condition is not cost-neutral. Given the ageing population in Australia, and the increasing prevalence of musculoskeletal conditions requiring specialist consultation, it is essential that better ways of managing patients onto, and through, the outpatient waiting list be identified. Otherwise lists will continue to lengthen, more people will be impacted on by the need to wait for care, and costs of waiting will escalate. Better and more standard ways of collecting cost data will improve international understanding of which costs are incurred, at which point whilst waiting, and how much these are, whilst patients are on orthopaedic waiting lists. This knowledge will assist policy makers and health service planners to identify better ways of decreasing costs of waiting, and minimize the impact of waiting on individuals, health systems and society.
Authorship and Author’s contribution
AT and JM for literature searching, critical appraisal; AT, JM, KG for debating and organizing the findings; drafting, reading subsequent drafts and editing the Manuscript.
Acknowledgments
Data management and formatting support from Ashley Fulton, Heath Pillen and Holly Bowen.
Funding information
No funding.
Competing interest
Authors declare no competing interests.
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