Abstract
Background:
Long-bone fractures are a major cause of morbidity worldwide. These injuries are often complicated by infection or nonunion, which significantly affect patient quality of life and economic costs. Although studies have quantified the impact of these fractures, there is not a comprehensive review summarizing their economic and lifestyle costs.
Study Objective:
This review summarized the impact of long-bone fracture infection and nonunion on health-related quality of life, as measured by utility scores, and both direct and indirect economic costs.
Methods:
A systematic review was conducted using the following databases: PubMed, EMBASE, Web of Science, and the Cochrane Library. The search included terms related to long-bone fractures, infection, nonunion, cost, and utility. The search yielded 1267 articles, and after deduplication, 1144 were screened, yielding 116 articles for full-text review. Screening was conducted using Covidence and extraction using REDCap.
Results:
Twenty-two articles met inclusion criteria, with the majority being from the United States and Europe. Most articles were retrospective studies, predominantly regarding the tibia. Fifteen articles contained cost data and 8 contained utility data, with 1 article containing both. Ten cost articles and 1 utility article contained infection data. 8 cost and all utility articles contained nonunion data. Infection ranged from 1.5 to 8.0 times the cost of an uncomplicated fracture. Nonunion ranged from 2.6 to 4.3 times the cost of an uncomplicated fracture. Utility data were variable and ranged from 0.62 to 0.66 for infection and 0.48–0.85 for nonunion.
Conclusions:
Infection and nonunion after long-bone fractures are associated with large decreases in health-related quality of life and incur substantial costs to both patients and health care systems. The data presented in this review quantify these impacts and may serve useful for future economic analyses. In addition, this study highlights the dearth of high-quality literature on this important topic.
Key Words: economic impact, systematic review, infection, nonunion, orthopaedics
1. Introduction
Long-bone fractures are a significant cause of morbidity and mortality globally.1 The rate of nonunion after all fractures is estimated to be 1.9% with higher rates in tibia, fibula, radius, ulna, and humerus fractures.2 It is estimated that around 5% of fractures treated with internal fixation will result in infection.3 These complications can be devastating for patients, both in terms of their physical function and financially.4,5
Postfracture surgery sequelae such as infection and nonunion can be detrimental to patients' quality of life (QoL).4,6 Fracture-related infection (FRI) and nonunion can also have significant economic impact on hospital systems and patients' personal finances. These complications often require longer hospitalizations as well as more outpatient visits and prescriptions, which all drive up the direct costs to both the health care system and the patient.4,7 Furthermore, patients often experience high indirect costs from missed work and decreased productivity.4,5
Owing to the substantial impact of these injuries, many studies have investigated the direct and indirect economic impact as well as quality of life consequences of FRIs and fracture nonunions. However, to date there has not been a comprehensive review summarizing these findings. These data are critically important for research prioritization and form the basis from which economic analysis and future interventions, aimed at better understanding and reducing these complications, will be assessed. This systematic review aimed to summarize the impact of infection and nonunion on health-related quality of life, as measured by utility scores, and both direct and indirect economic costs after long-bone diaphyseal fractures.
2. Methods
A thorough electronic database search was conducted between December 2020 and January 2021 of the following 4 databases: PubMed, EMBASE, Web of Science, and the Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL), and Cochrane Methodology Register). The search terms and search strategy were developed by 2 members of the research team (M.U., D.S.) and a research librarian (E.W.). The search strategy was developed based on the following concepts: fracture AND (infection OR nonunion) AND (cost OR utility).
To be included in the analysis, articles must have been written in English, published between 1970 and 2019, and must have reported on costs, cost estimates, expenditure, and/or utility scores related to long-bone fractures that include either nonunion, fracture-related infection, or deep surgical site infection as complications. Studies that examined fractures of bones other than the humerus, radius/ulna, femur, or tibia; did not include nonunion or fracture-related infections as complications; or were noncost burden studies were excluded.
The database search yielded 1267 articles, and 123 duplicates were removed prior to title and abstract screening using the Covidence software.8 One thousand one hundred forty-four titles and abstracts were screened by 2 independent reviewers. Conflicts were resolved by consensus. After title and abstract screening, 116 articles were eligible for full-text review. Full-text review yielded a total of 22 articles for data extraction. Figure 1 illustrates the article review process.9
Figure 1.
A PRISMA diagram representing the systematic screening stages involved in the systematic review.
The research team used REDCap (Research Electronic Data Capture) for data extraction.10,11 The data extraction form elicited the following data from each article to address our research aim: study setting, study population, participant demographics, baseline characteristics, study methodology, recruitment, study completion rates, as well as utility scores and all costs associated with uncomplicated and complicated fractures. Utility scores are values that patients assign to their overall health state and the values usually range from 0 to 1, with 0 being equal to death and 1 being equal to perfect health.12 While there are multiple different methods to estimate utility, we included studies using the following measurement systems: Quality-Adjusted Life Years (QALY), time trade-off (TTO), EuroQol-5 dimension (EQ-5D), and the more general system of Health State Utility Values (HSUV).12–14 Costs associated with infection and nonunion were categorized as direct and indirect costs. Direct costs reflect expenditures that occur within the health care system (costs of hospitalization, surgery, outpatient visits, medications, and rehab) whereas indirect costs reflect societal costs that occur outside the health care system, such as lost economic output due to disability or mortality.15 Each of these has an equally weighted propensity to affect overall costs. All data/each outcome value is comparatively and appropriately weighted, incorporating geo–socio–economical differences into the allocation of the cost estimate value.
Data were summarized using tables without data synthesis. Median and range was reported for each complication and its associated utility and cost. To allow cost comparisons across different currencies, costs were standardized to February 2022 USD using the consumer price index and current exchange rate, respectively.
3. Results
There were 22 articles that met inclusion criteria. The articles were published from 1997 to 2021. Most articles were conducted in the United States (9), followed by the United Kingdom (4), Belgium (3), and Italy (3). Most articles were retrospective cohort studies (14), followed by case series (4), prospective cohort studies (2), and randomized controlled trials (2). Sample size ranged from 6 to 24,336, with the median value being 212. Most articles had data regarding the tibia (20), followed by the femur (6) and the humerus (5).
There were 15 articles that contained cost data (Table 1), 8 articles contained utility data (Table 2), and 1 article contained both cost and utility data (Calori et al). Of articles containing cost data, 10 articles had infection data (Table 3), 8 articles had nonunion data (Table 4), and 3 articles had both infection and nonunion data. Of articles containing utility data, all of the articles had nonunion data and 1 article had both infection and nonunion data (Gitajn et al) (Table 5).
TABLE 1.
Articles Containing Cost Data
Number | Paper Title | First Author | Year | Journal | Study Type | Country | Sample Size | Study Population | Bones Involved | Time Horizon |
1 | Fracture-related infection in long-bone fractures: A comprehensive analysis of the economic impact and influence on quality of life | Iliaens et al. | 2021 | Injury | Retrospective cohort | Belgium | 30 (15 controls) | Adults who were treated for a single fracture of the humeral, femoral, or tibial shaft | Humerus, femur, and tibia | 4 y |
2 | The economic burden of infections following intramedullary nailing for a tibial shaft fracture in England | Galvain et al. | 2020 | BMJ Open | Retrospective cohort | England | 805 | Adult patients with tibial shaft fractures | Tibia | 2 y |
3 | Complications in type III open tibial shaft fractures treated with open reduction and internal fixation | Chitnis et al. | 2019 | Journal of Comparative Effectiveness Research | Retrospective cohort | United States | 580 | Patients aged 18–64 years with type III tibial shaft fractures requiring ORIF | Tibia | 2 y |
4 | Complications and its impact in patients with closed and open tibial shaft fractures requiring open reduction and internal fixation | Chitnis et al. | 2019 | Journal of Comparative Effectiveness Research | Retrospective cohort | United States | 24,336 | Adults with open or closed tibial shaft fractures requiring ORIF | Tibia | 2 y |
5 | Health Care Costs of Post-traumatic Osteomyelitis in China: Current Situation and Influencing Factors | Jiang et al. | 2019 | Journal of Surgical Research | Retrospective cohort | China | 278 | Inpatients who had received surgical interventions for extremity post-traumatic OM | Humerus, radius, ulna, femur, and tibia | 3 y |
6 | Incidence, Costs, and Predictors of Nonunion, Delayed Union and Mal-Union Following Long-Bone Fracture | Ekegren et al. | 2018 | International Journal of Environmental Research and Public Health | Retrospective cohort | Australia | 315 | Patients with a proximal or shaft of humerus, proximal, distal or shaft of femur, or shaft of tibia fracture | Tibia, femur, and humerus | Not specified |
7 | Economics of open tibial fractures: the pivotal role of length-of-stay and infection | Hoekstra et al. | 2017 | Health Economics Review | Retrospective cohort | Belgium | 358 | Adult patients with acute OTA/AO type 41, 42, and 43 fractures | Tibia | 2 y |
8 | Infection after fracture fixation of the tibia: Analysis of health care utilization and related costs | Metsemakers et al. | 2017 | Injury | Retrospective cohort | Belgium | 358 | Adult patients with acute OTA/AO type 41, 42, and 43 fractures | Tibia | 2 y |
9 | The management of tibial fracture nonunion using the Taylor Spatial Frame | Khunda et al. | 2016 | Journal of Orthopaedics | Case series | England | 40 | Complex tibial nonunions treated with Taylor Spatial Frames | Tibia | Average 2.2 y |
10 | The cost of infection in severe open tibial fractures treated with a free flap | Olesen et al. | 2016 | International Orthopaedics | Retrospective cohort | Denmark | 45 | Patients with open tibia fractures covered with free vascularized flaps | Tibia | 2 y |
11 | Tibia shaft fractures: costly burden of nonunions | Antonova et al. | 2013 | BMC Musculoskeletal Disorders | Retrospective cohort | United States | 853 | Adult patients with tibial shaft fractures | Tibia | 2 y |
12 | Cost-effectiveness of tibial nonunion treatment: A comparison between rhBMP-7 and autologous bone graft in 2 Italian centers | Calori et al. | 2013 | Injury | Retrospective cohort | Italy | 54 | Patients who underwent surgery for tibial nonunion, either with rhBMP-7 or ABG | Tibia | 1 y |
13 | A health economic analysis of the use of rhBMP-2 in Gustilo–Anderson grade III open tibial fractures for the United Kingdom, Germany, and France | Alt et al. | 2009 | Injury | Randomized control trial | United Kingdom, Germany, and France | 122 | Patients who underwent surgery for with grade III open tibial fractures with 1.5 mg/mL rhBMP-2. There were 3 study cohorts from the United Kingdom, Germany, and France, respectively. | Tibia | 1 y |
14 | Management of complex tibial and femoral nonunion using the Ilizarov technique, and its cost implications | Patil et al. | 2006 | Journal of Bone and Joint Surgery | Retrospective cohort | United Kingdom | 40 | Adult patients with complex tibial and femoral nonunions | Tibia and femur | Not specified |
15 | An Analysis of the Actual Cost of Tibial Nonunions | Beaver et al. | 1997 | The Journal of the Louisiana State Medical Society | Case series | United States | 11 | Adults with a tibial shaft fracture subsequently presenting with a tibial nonunion | Tibia | Average follow-up was 2.6 y |
TABLE 2.
Articles Containing Utility Data
Number | Paper Title | First Author | Year | Journal | Study Type | Country | Sample Size | Study Population | Bones Involved | Time Horizon |
3 | Deficits in preference-based health-related quality of life after complications associated with tibial fracture | Gitajn et al. | 2018 | The Bone & Joint Journal | Randomized control trial | United States, Canada, Australia, Norway, and India | 2138 | Adults with open fracture of limb requiring operative fixation Adults with tibial shaft fracture amenable to ORIF with IM nail |
Tibia | 1 y |
4 | The Devastating Effects of Tibial Nonunion on Health-Related Quality of Life | Brinker et al. | 2013 | The Journal of Bone and Joint Surgery | Prospective cohort | United States | 237 | Adults with tibial shift fracture nonunions | Tibia | 0.25–20.3 y |
5 | Outcomes of Tibial Nonunion in Older Adults Following Treatment Using the Ilizarov Method | Brinker et al. | 2007 | Journal of Orthopedic Trauma | Case series | United States | 23 | Patients age ≥60 y with a tibial nonunion | Tibia | Average 3.2 y (1.5–5.1 y) |
6 | Debilitating Effects of Femoral Nonunion on Health-Related Quality of Life | Brinker et al. | 2017 | Journal of Orthopaedic Trauma | Retrospective cohort | United States | 187 | Patients with nonunions of the femur, excluding those involving the hip or knee articular surfaces | Femur | Average 2.4 y (0.25–31.4 y) |
10 | Time Trade-Off as a Measure of Health-Related Quality of Life: Long Bone Nonunions Have a Devastating Impact | Schottel et al. | 2015 | The Journal of Bone and Joint Surgery | Retrospective cohort | United States | 832 | Patients ≥17 y with clavicular, humeral, forearm (radial or ulnar), femoral, and/or tibial or fibular nonunions | Clavicle, humerus, forearm (radius or ulna), femur, and/or tibia or fibula | Not specified |
11 | The use of a gentamicin-coated titanium nail, combined with RIA system, in the management of non-unions of open tibial fractures: A single center prospective study | Vicenti et al. | 2020 | Injury | Prospective cohort | Italy | 17 | Adults with nonunion after open tibial shaft fracture previously treated with a circular external fixator | Tibia | 1 y |
15 | Humeral shaft nonunion in the elderly: Results with cortical graft plus stem cells | Toro et al. | 2019 | Injury | Case series | Italy | 6 | Patients >65 y with diagnosis of humeral shaft nonunion with use of cortical allograft and stem cell | Humerus | Average 1.2 y (0.3–2 y) |
16 | Cost-effectiveness of tibial nonunion treatment: A comparison between rhBMP-7 and autologous bone graft in 2 Italian centers | Calori et al. | 2013 | Injury | Retrospective cohort | Italy | 54 | Patients who underwent surgery for tibial nonunion, either with rhBMP-7 or ABG | Tibia | 1 y |
TABLE 3.
Cost Data for Infection
Number | First Author | Year | Bones Involved | Complications | Cost Type | Time Horizon | Currency Year for Study | Cost | Cost in 2022 USD | Ratio Complicated to Uncomplicated |
1 | Iliaens et al. | 2021 | Humerus, femur, and tibia | Infection | Direct, Indirect | 4 y | Not specified | Direct: €47,845 (infection) €5983 (no infection) Indirect: €77,909 (infection) €19,706 (no infection) |
Direct: $54,213 (infection) $6779 (no infection) Indirect: $88,279 (infection) $22,329 (no infection) |
Direct: 8.0:1 Indirect: 4.0:1 |
2 | Galvain et al. | 2020 | Tibia | Infection | Direct | 2 y | Not specified (costs collected between 2003 and 2017; 2017/2018 software used in comparison with “NHS Reference costs” to generate costs) | £16,626 (infection) £9439 (no infection) |
$24,812 (infection) $14,086 (no infection) |
1.8:1 |
3 | Chitnis et al. | 2019 | Tibia | Infection | Direct | 2 y | 2017 | $140,227 (infection) $50,259 (no infection) |
$162,349 (infection) $58,188 (no infection) |
2.8:1 |
4 | Chitnis et al. | 2019 | Tibia | Infection | Direct | 2 y | 2017 | $82,306 (infection) $21,966 (no infection |
$95,290 (infection) $25,431 (no infection) |
3.8:1 |
5 | Jiang et al. | 2019 | Humerus, radius, ulna, femur, and tibia | Infection | Direct | 3 y | Not specified | $10,504 (post-traumatic) $2189 (nontraumatic) |
$11,732 (post-traumatic) $2445 (nontraumatic) |
4.8:1 |
7 | Hoekstra et al. | 2017 | Tibia | Infection | Direct | 2 y | Not specified (cost collected between 2009 and 2016) | €48,702 (infection) €9566 (no infection) |
$63,967 (infection) $11,690 (no infection) |
5.5:1 |
8 | Metsemakers et al. | 2017 | Tibia | Infection | Direct | 2 y | Not specified (cost collected between 2009 and 2016) | €44,468 (infection) €6855 (no infection) |
$54,341 (infection) $8377 (no infection) |
6.5:1 |
10 | Olesen et al. | 2016 | Tibia | Infection | Direct | 2 y | 2014 (converted from kroner to euros) | €81,155 (infection) €49,817 (no infection) |
$129,565 (infection) $79,533 (no infection) |
1.6:1 |
13 | Alt et al. | 2009 | Tibia | Infection | Direct, Indirect (without rhBMP-7) | 1 y | 2007/2008 | Direct: €399–€1259 Indirect: €43,624–€48,146 |
Direct: $781–$2465 Indirect: $85,414–$94,268 |
— |
15 | Beaver et al. | 1997 | Tibia | Infected Nonunion |
Direct | Average follow-up was 2.6 y | Not specified | $13,740 (infected nonunion) $9407 (noninfected nonunion) |
$24,280 (infected nonunion) $16,623 (noninfected nonunion) |
1.5:1 (nonunion) |
TABLE 4.
Cost Data for Nonunion
Number | First Author | Year | Bones Involved | Complications | Cost Type | Time Horizon | Currency Year for Study | Cost | Cost in 2022 USD | Ratio Complicated to Uncomplicated |
6 | Ekegren et al. | 2018 | Tibia, femur, and humerus | Nonunion Mal-Union Delayed Union |
Direct | Not specified | Not specified | AUD $14,957 (average, not specified by bone) | $12,682 (average, not specified by bone) | — |
8 | Metsemakers et al. | 2017 | Tibia | Nonunion | Direct | 2 y | Not specified (cost collected between 2009 and 2016) | €29,217 (nonunion) €6773 (union) |
$35,704 (nonunion) $8277 (union) |
4.3:1 |
9 | Khunda et al. | 2016 | Tibia | Nonunion | Direct | Average 2.2 y |
Not specified | £26,000 (treated with TSF) | $41,814 (treated with TSF) | — |
11 | Antonova et al. | 2013 | Tibia | Nonunion | Direct | 2 y | 2006 | $53,506 (nonunion) $20,984 (union) |
$75,861 (nonunion) $29,750 (union) |
2.6:1 |
12 | Calori et al. | 2013 | Tibia | Nonunion | Direct | 1 y | 2009 | €8461 (rhBMP-7 group) €7666 (ABG group) mean total 8078.14 |
$17,688 (rhBMP-7 group) $16,025 (ABG group) |
— |
13 | Alt et al. | 2009 | Tibia | Delayed fracture Healing (DFH) |
Direct, Indirect (without rhBMP-7) | 1 y | 2007/2008 | Direct: €734–€2020 Indirect: €43,624–€48,146 |
Direct: $1437–$3955 Indirect: $85,414–$94,268 |
— |
14 | Patil et al. | 2006 | Tibia and femur | Nonunion | Direct | Not specified | Estimated for the year 2004–2005 | £29,204 (combined, for femur and tibia; not including BMP, ultrasound, electromagnetic induction and antibiotics) | $78,361 (combined, for femur and tibia; not including BMP, ultrasound, electromagnetic induction and antibiotics) | — |
15 | Beaver et al. | 1997 | Tibia | Infected Nonunion Noninfected Nonunion |
Direct | Average follow-up was 2.6 y | Not specified | $11,333 (nonunion) $13,740 (infected nonunion) $9407 (noninfected nonunion) |
$20,027 (nonunion) $24,280 (infected nonunion) $16,623 (noninfected nonunion) |
— |
TABLE 5.
Utility Data for Infection and/or Nonunion
Number | First Author | Year | Bones Involved | Complications | Utility Scores | Time Horizon | Utility Scores |
3 | Gitajn et al. | 2018 | Tibia | Nonunion, Infection |
HSUVs QALYs, calculated from SF-6D |
1 y | HSUVs: 0.649 (nonunion) 0.657 (infection, op) 0.654 (infection, non-op) QALYs: 0.624 (nonunion) 0.625 (infection, op) 0.628 (infection, non-op) |
4 | Brinker et al. | 2013 | Tibia | Nonunion | Time Trade-Off | 0.25–20.3 y | Time Trade-Off: 0.64 |
5 | Brinker et al. | 2007 | Tibia | Nonunion | Time Trade-Off QALYs |
Average 3.2 y (1.5–5.1 y) | Time Trade-Off: 0.48 (before treatment) 0.87 (after treatment) QALYs: 5.3 (difference pretreatment to post-treatment) |
6 | Brinker et al. | 2017 | Femur | Nonunion | Time Trade-Off | Average 2.4 y (0.25–31.4 y) | Time Trade-Off: 0.62 |
10 | Schottel et al. | 2015 | Clavicle, humerus, forearm (radius or ulna), femur, and/or tibia or fibula | Nonunion | Time Trade-Off | Not specified | Time Trade-Off: Clavicle: 0.59; Humerus: 0.71; Forearm: 0.54; femur: 0.68; Tibia or fibula: 0.68 Mean total: 0.68 |
11 | Vicenti et al. | 2020 | Tibia | Nonunion | EQ-5D | 1 y | 0.6 (baseline) 0.9 (1-y postop) |
15 | Toro et al. | 2019 | Humerus | Nonunion | EQ-5D | Average 1.2 y (0.3–2 y) | 0.451 |
16 | Calori et al. | 2013 | Tibia | Nonunion | EQ-5D QALYs |
1 y | EQ-5D (1 Month Postsurgery): 0.59 (total) 0.62 (rhBMP-7) 0.52 (ABG) EQ5-D: 1 (total) 1 (rhBMP-7) 0.85 (ABG) QALY: 0.768 (rhBMP-7) 0.79 (ABG) |
The mean direct cost of infection across all the relevant studies was $52,187 (range $781–$162,349). There were 2 studies with indirect costs of infection recorded, which ranged from $85,414 to $94,268. The cost of infection ranged from 1.5 to 8.0 times the cost of an uncomplicated fracture in the included studies. The mean direct cost of nonunion across all the relevant studies was $30,852 (range $1437–$78,361). There was 1 study with indirect costs of nonunion recorded, with a range of $85,414–$94,268 (Alt et al). The cost of nonunion ranged from 2.6 to 4.3 times the cost of an uncomplicated fracture.
Utility data were reported using several different instruments including QALY, time trade-off, EQ-5D, and the more general HSUV. There was one article with utility data for infection, with a median HSUV of 0.66 and QALY of 0.63 (calculated from the SF-6D utility score). For nonunion, the following were the identified ranges varied by survey instrument. The one study reporting HSUV found nonunion yielded an HSUV of 0.65. The range for studies involving QALYs was 0.73–0.768, for the time trade-off was 0.48–0.68, and the range for EQ-5D was 0.45–0.60.
4. Discussion
This systematic review aimed to identify the economic and utility costs of infection and nonunion in the setting of a long-bone fracture. We identified 22 articles for inclusion with most reporting on data collected in the United States and Europe. Most articles had data related to the tibia. Sample size and study characteristics varied widely between the studies. In addition, the impact of infection and nonunion varied between studies. The cost of infected fractures was 1.5- to 8-fold higher than uncomplicated fractures with a median utility score of 0.63. The cost of nonunion ranged from 2.6 to 4.3 that of union, with the median utility of 0.73.
To our knowledge, the current systematic review is the first of its kind to summarize the cost and utility of infection and/or nonunion of long-bone fractures. Our cost findings surrounding infection corroborate the existing literature surrounding surgical infections in orthopaedics and other fields which have shown anywhere from 2 to 8 times increased cost of care.16–18 These costs were similar to those associated with nonunion, which could add $15,000 or more to the cost of a patient's care.19 In the context of other medical conditions, these costs outpace admissions for simple diagnosis such as community acquired pneumonia and are more comparable with more serious medical diagnoses such as heart failure or cancer.20–22 The rising costs of care for orthopaedic-related injuries is a major barrier in an individual's ability to access quality orthopaedic care. As a result, an increased burden is placed on the health care system as patients present later in their disease/injury course with more complex interventions needed to address their issues. As a result, it is imperative to constantly interrogate these rising costs of care to identify ways to mitigate them.
This article lays the foundation for future economic analyses which may look to investigate the associated benefit and utility values that are intertwined with these costs in the form of cost-benefit or cost-utility analyses. Such future research will allow us to begin to estimate the costs and benefits associated with preventing a single infection or nonunion occurrences. Such analyses deepens our understanding of the economic burdens associated with these diseases, and also enables policy makers to make valuable comparisons across interventions, to inform best resource distribution practices.
Our findings related to utility demonstrated the significant effects of infection and nonunion on health-related quality life. The literature remains sparse; however, the more robust nonunion literature has shown that utilities associated with tibial nonunion were significantly lower when compared with other common medical conditions including congestive heart failure, type-2 diabetes mellitus, and even myocardial infarction.23 The utility scores for nonunion were similar to more severe conditions such as stroke and emphysema.23
The current review had strengths and some limitations. There were multiple efforts taken to decrease bias in article selection. Article review and extraction was completed by 2 independent investigators. Extraction data were corroborated by a third reviewer who organized the tables. Our review also had several limitations. Articles were restricted to manuscripts published in English. In addition, there were a low number of articles identified for several of the outcomes reported in this study and some variability in fracture types. Outcomes such as a quality of life can be quantified in heterogeneous ways which can lead to difficulty in comparisons across different metrics. Finally, the overall low-quality and heterogeneity of studies on this topic prevented a formal synthesis of data. Such heterogeneity highlights the dire need for an expansion of literature concerning these topics. Future studies should aim build on this work and bridge the gap in quality and investigate this topic at a more granular level. Topics of interest may include but are not limited to issues concerning the exploration of the costs associated with infection and nonunion individually, the exploration of costs stratified by different bone types, the establishment of incremental cost-effectiveness ratios, more stratified cost benefit analyses, and the optimization of cost effectiveness models. Such analyses will allow us to more accurately and completely understand costs associated with orthopaedic trauma care.
5. Conclusion
Infection and nonunion after long-bone fracture are associated with large decreases in health-related quality of life and incur substantial costs to both patients and health care systems. The data presented in this review quantitate these impacts and may serve as useful basis for future economic analyses evaluating interventions aimed to prevent or treat these complications. Our intention is for these values to serve as proximal price ranges for the basis of the future orthopaedic cost analysis research. At the same time, this study highlights the dearth of high-quality literature on this important topic and emphasizes the need for further investigation in this domain.
Footnotes
Source of funding: Nil.
The authors have no relevant conflict of interests to disclose.
The study was deemed exempt from Institutional Review Board and Animal Use Committee Review.
Contributor Information
Michael J. Flores, Email: michael.flores@yale.edu.
Kelsey E. Brown, Email: kelsey_brown@brown.edu.
Jamieson M. O'Marr, Email: jamieson.omarr@ucsf.edu.
Babapelumi Adejuyigbe, Email: babapelumi.adejuyigbe@ucsf.edu.
Patricia Rodarte, Email: patricia_rodarte@brown.edu.
Francisco Gomez-Alvarado, Email: francisco.gomezalvarado@ucsf.edu.
Kelechi Nwachuku, Email: kelechi.nwachuku@ucsf.edu.
Mayur Urva, Email: murva@student.nymc.edu.
David Shearer, Email: david.shearer@ucsf.edu.
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