ABSTRACT
National Registers document changes in the circumstance, practice, and outcome of surgery with the passage of time. In the context of total hip replacement (THR), registers can help elucidate the relevant factors that affect the clinical outcome. We evaluated the evolution of factors related to patient, surgical procedure, socio‐economy, and various outcome parameters after merging databases of the Swedish Hip Arthroplasty Register, Statistics Sweden and the National Board of Health and Welfare. Data on 193,253 THRs (164,113 patients) operated between 1999 and 2012 were merged. We studied the evolution of surgical volume, patient demographics, socio‐economic factors, surgical factors, length‐of‐stay, mortality rate, adverse events, re‐operation and revision rates, and Patient Reported Outcome Measures (PROMs). Throughout this time period the majority of patients were operated on with a diagnosis of primary osteoarthritis. Comorbidity indices increased each year observed. The share of all‐cemented implants has dropped from 92% to 68%. More than 88% of the bearings were metal‐on‐polyethylene. Length‐of‐stay decreased by 50%. There was a reduction in 30‐ and 90‐day mortality. Re‐operation and revision rates at 2 years are decreasing. The post‐operative PROMs improved despite the observation of worse pre‐operative pain scores getting over time. The demographics of patients receiving a THR, their comorbidities, and their primary diagnosis are changing. Notwithstanding these changes, outcomes like mortality, re‐operations, revisions, and PROMs have improved. The practice of hip arthroplasty has evolved, even in a country such as Sweden that is considered to be conservative with regard taking on new surgical practices. © 2017 The Authors. Journal of Orthopaedic Research® Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society. J Orthop Res 36:432–442, 2018.
Keywords: trends, total hip replacement, register
When Sir John Charnley developed his “low friction arthroplasty” in the early 1960s, he did so using the technology and materials available at that time1 and continually developed surgical practices to improve the operation. Since then, the original Charnley implant, the gold standard for many years, has been superceded with the use of other types of cemented implants and prostheses that do not rely on cement for fixation. Details of the surgical procedure as well as the perioperative treatment of patients have changed dramatically. Today the standard 10‐year survival rates in the majority of patient groups being operated upon can be expected to be greater than 95%.2 The main objective of THR is to relieve pain and improve function, now measured with increasing sophistication with the development of a range of patient‐reported outcome measures (PROMs). These measures of clinical improvement are now collected in addition to the traditional markers for success of a surgical intervention such as death, radiographic evaluations, and/or revision rates.3, 4, 5, 6, 7
In the beginning of the 20th century, Codman developed Registers as part of the assessment of outcomes using principles such as the “End Result Idea.” As health care Registers have evolved their utility has become appreciated by surgeons, implant companies, patients, and by those who make decisions on the provision of health care.8 The Swedish Hip Arthroplasty Register (SHAR) was set up in 1979, initially to study revision procedures. Gradually over the years there have been changes in the content and the methods of data collection and greater ambition for use of the Register as a tool to improve the outcome for patients.9 The SHAR belongs to the group of the Swedish Quality Registers (QR). The collection of patient‐reported outcomes is becoming standard practice in the QR's in Sweden and is used for quality improvement purposes.10
The existence of a unique Personal Identity Number (PIN) in the Scandinavian countries is a prerequisite for merging SHAR data with other databases governed by the National Board for Health and Welfare (Socialstyrelsen) and Statistics Sweden (SCB). These databases contain socio‐economic, mortality, and medical data.11
There is currently an increased interest in research based on register data as it contains a wealth of information on large numbers of patients that would be difficult to obtain using the more classical ways of research.12, 13, 14 The pearls and pitfalls of Big Data have recently been reported by Patel et al.15 and there are many concerns about the potential for misinterpretation of the data.16, 17, 18 There has, however been be an emergence of local, national, and international databases as well as an increased collaboration between the different databases.19 Using the data provided with these merged databases, associations between different patient and procedural related characteristics can provide information which might well lead to a better understanding of factors influencing outcomes and subsequently to the construction of a shared decision‐making tool.
From the beginning, it was the aim of the SHAR to provide feedback to the providers of patient care. Despite governmental funding, ownership of the SHAR has remained with the orthopaedic surgeons and its leadership has ensured that data was appropriately collected, validated, and clean to be able to provide the feedback. Over the years, the feedback to the surgeons and healthcare providers has been provided by the introduction of the standardized yearly reports and subsequently by in‐depth analyses of selected patient groups, implant types, or procedures.
We aim to analyze the Registry data collected prospectively in the period between 1/01/1999 and 31/12/2012 to study the trends in patient‐ and procedure‐related factors with inclusion of socio‐economic and medical data. This has been achieved by combining the databases of SHAR and the relevant parts of those administered by the National Board of Welfare and Health and Statistics Sweden. Focus during this work will be on the evolution in performed surgical procedures, number, hospital type, and surgical characteristics, changes in demographics, influence of socio‐economic factors and comorbidities, re‐operations and revisions, mortality rate and patient‐reported outcomes.
METHODS
Study Design
This study is a level 2C observational outcome study20 using the data on THR's from the SHAR. In total there were 193,253 THRs performed in 164,113 patients. The unique PIN was used to merge data on all primary THR between 1999 and 2012 in the SHAR with person‐related information available from Statistics Sweden and the National Board for Health and Welfare. The resulting new database is stored and accessible on an encrypted SODA (Secure On‐Line Data Access) network.11 The SHAR uses both a paper and electronic version to collect patient‐related and procedure‐related characteristics.9 The type and different levels of data used for this analysis are part of the standard data set for registries as agreed by international registry collaborations.6 For this analysis, we have used following characteristics (Table 1). All the patient‐related data, such as PIN, sex, laterality, indications for implantation, and surgery‐related data (approach, fixation method) are registered prospectively as part of a nationwide validated observational program using a standardized computer form.
Table 1.
Patient‐ and Surgery‐Related Data and the Level and Source of the Data (*From the National Board for Health and Welfare and ^From Statistics Sweden, Unmarked From the SHAR)
Level 1 | Level 2 | Level 3 | |
---|---|---|---|
Patient‐Related | Sex | Comorbidities* | PROMs |
Age | BMI | Socio‐economic data^ | |
Indication for implantation | ASA score | ||
Death | |||
Procedure‐Related | Date of surgery | Surgical technique | |
Type of procedure | Approach | ||
Fixation method | |||
Head size | |||
Bearing couple | |||
Hospital identification | |||
Re‐operation/revision |
During the collection period it became the practice to prospectively collect additional datasets such as PROMs. PROMS data collection was started in 2002 but was gradually adopted and became nationwide 2008.5 All patients are asked to complete a pre‐operative questionnaire using self‐reported Charnley classification,5, 21 EQ‐5D‐3L, EQ VAS, and pain VAS.
The self‐reported Charnley classification is based on answers to two standard questions and consists of three levels; A being unilateral hip disease, B being bilateral hip disease, and finally C being multiple joint disease or some major medical condition impairing walking ability5. EQ‐5D‐3L is a validated measurement of the health‐related quality of life (HRQoL) and evaluates mobility, self‐care, usual activities, pain/discomfort, and anxiety/depression and has three levels of severity, total calculated values are ranging between −0.594 (a state worse than death) and 1.0 (best state). EQ VAS (Visual Analogue Scale) is an assessment of general health ranging between 0 (worst possible health state) and 100 (best possible health state). VAS for pain is ranging from 0 (absence of pain) to 100 (worst pain imaginable). Pre‐operatively, at 1, 6, and 10 years following surgery patients are mailed and asked to complete the same questionnaire.
Finally, the linking process to Statistics Sweden made it possible to add additional socio‐economic data such as information about income and level of education. We decided to analyze the average income of all the patients undergoing a THR in every calendar year and record the highest level of achieved education, dividing it in three levels (low, medium, and high) depending on the number of years education the patients succeeded. The data variables available for the research and the linkage process have been described previously and have been stored in an anonymized research database.11
Statistical Analysis
We used the R3.2.2 computing environment for statistical analyses and data visualization. Continuous variables were summarized as means and standard deviations, categorical variables as percentages, and absolute numbers. We used robust and non‐parametric regression for trend analyses. The outcome for the regression analyses was the variable of interest and this was regressed on calendar year.
Ethical Board Approval
Ethical approval was requested and approved by the Regional Ethical Review Board in Gothenburg (entry number: 430‐15 dated 8/06/2015 and 271‐14 dated 9/04/2014).
RESULTS
Volumes and Prevalence
The numbers of primary THR increased from 10,552 per year in 1999 to 15,945 in 2012 as reported to the SHAR. This indicates a more than 50% increase over the 14 years within the cohort. The biggest increase happened between 2008 and 2009, as a result of a government driven initiative to decrease the waiting time before surgery, thereafter numbers stabilized around 16,000 per year (Fig. 1, 5–10). The number of living patients with bilateral hips has increased from 6.6% in 1999 to 11.8% in 2012. Prevalence of patients having hip replacements is represented in Table 2.
Figure 1.
Distribution trends in age ranges at the time of surgery in Sweden.
Table 2.
Prevalence of Patients With at Least 1 Hip Replacement During the Study Period 1999–2012
Absolute numbers | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | |
<40 | 539 | 582 | 634 | 682 | 724 | 757 | 766 | 783 | 820 | 828 | 835 | 862 | 867 | 851 |
40–49 | 1,414 | 1,459 | 1,599 | 1,700 | 1,838 | 2,001 | 2,223 | 2,330 | 2,465 | 2,594 | 2,772 | 3,040 | 3,252 | 3,285 |
50–59 | 5,767 | 6,372 | 6,920 | 7,439 | 7,864 | 8,222 | 8,499 | 8,707 | 8,881 | 9,142 | 9,526 | 9,854 | 10,318 | 10,666 |
60–69 | 13,267 | 14,570 | 15,944 | 17,473 | 18,999 | 20,806 | 22,944 | 24,899 | 26,735 | 28,353 | 30,031 | 31,559 | 33,061 | 33,955 |
70–79 | 23,941 | 25,564 | 27,458 | 29,375 | 31,067 | 32,882 | 34,539 | 36,396 | 38,334 | 40303 | 42639 | 44,600 | 46,486 | 49,054 |
80–89 | 15,340 | 18,100 | 20,714 | 22,994 | 25,128 | 27,145 | 29,292 | 31,052 | 32,560 | 34,045 | 35,563 | 36,976 | 38,218 | 39,660 |
90+ | 1,669 | 2,093 | 2,495 | 2,937 | 3,433 | 3,911 | 4,325 | 4,874 | 5,481 | 5,943 | 6,471 | 7,350 | 8,226 | 8,756 |
Total | 61,937 | 68,740 | 75,764 | 82,600 | 89,053 | 95,724 | 102,588 | 109,041 | 115,276 | 121,208 | 127,837 | 134,241 | 140,428 | 146,227 |
Prevalance per 100,000 person | ||||||||||||||
<40 | 12 | 13 | 14 | 15 | 16 | 17 | 17 | 17 | 18 | 18 | 18 | 19 | 19 | 18 |
40–49 | 120 | 125 | 137 | 145 | 156 | 166 | 182 | 188 | 196 | 204 | 216 | 235 | 249 | 249 |
50–59 | 477 | 517 | 555 | 595 | 632 | 670 | 703 | 729 | 752 | 783 | 821 | 852 | 890 | 916 |
60–69 | 1,633 | 1,775 | 1,909 | 2,026 | 2,107 | 2,195 | 2,309 | 2,400 | 2,482 | 2,550 | 2,636 | 2,716 | 2,812 | 2879 |
70–79 | 3,349 | 3,652 | 3,993 | 4,321 | 4,639 | 4,961 | 5,249 | 5,526 | 5,782 | 6,014 | 6,246 | 6,439 | 6,566 | 6,681 |
80–89 | 4,107 | 4,672 | 5,215 | 5,734 | 6,198 | 6,629 | 7,091 | 7,489 | 7,864 | 8,201 | 8,582 | 8,993 | 9,362 | 9,746 |
90+ | 2,651 | 3,212 | 3,724 | 4,287 | 4,869 | 5,369 | 5,839 | 6,447 | 7,125 | 7,622 | 8,091 | 8,572 | 9,139 | 9,598 |
Total | 699 | 774 | 850 | 924 | 992 | 1062 | 1,134 | 1,197 | 1,255 | 1,309 | 1,369 | 1,426 | 1,481 | 1,530 |
Patient Factors
The mean age at the time of surgery decreased slightly from 69.5 (SD 11.0) in 1999 to 68.8 (SD 10.5) in 2012. We have included a distribution age trend in grouped age ranges in Figure 1. The predominance of the female gender is decreasing over the years (Fig. 2).
Figure 2.
Gender predominance in the years 1999–2012.
The comorbidity scores as measured by Charlson Comorbidity Index (CCI) as well as the Elixhauser comorbidity index are showing that the amount of comorbidities in the patients undergoing THR is increasing year on year (Fig. 3). Comorbidities such as diabetes increased and the share of patients with inflammatory arthritis decreased during the period of observation. The amount of patients with diagnosed alcohol‐related problems and depression doubled. As a reflection of the increasing share of patients operated with comorbidities, the American Society of Anaesthesiologists (ASA) score, recorded since 2008, show an increasing share of patients classified with ASA>2 and ASA>3 (Fig. 4).
Figure 3.
Elixhauser comorbidity index per operation year.
Figure 4.
Evolution of BMI in THR,(the collection of BMI data was only nationwide since 2008 and therefor could only be considered a reliable representation of the studypopulation since 2008).
We are seeing a minor though significant increase in Body Mass Index (BMI). However, we are aware that some data at the start of the study period was limited and missing. The data represented as a consequence will only start in 2008 (Fig. 5).
Figure 5.
Evolution of ASA‐scores in THR (only routinely collected since 2008).
Primary OA of the hip is as expected the most common diagnosis during the entire period. Its relative share has increased from 76.7% to 83.0%. Inflammatory arthropathy as an indication for the THR has both decreased in absolute numbers as well as in share from 4.0% in 1999 to 1.2%. THR in acute hip fractures and complications after osteosynthesis has increased in absolute numbers but the share has gone down from 12.9% to 9.5%. The total number of THR for diagnosis of tumor has remained the same within Sweden (Fig. 6).
Figure 6.
Clinical diagnosis at intervention.
The average income of patients undergoing hip replacement surgery every year is increasing with exception of 2002 and 2008 where there was a drop. Overall the average income has gone up 184% between 1999 and 2012 (SEK 121,500–224,100). If we consider consumer price index (CPI) adjustment there has been a rise of 152% (147,909–224,100). During the same period, the educational level has increased with more patients having completed high school (middle educational level) or University and graduate class (high level) (Fig. 7).
Figure 7.
Highest achieved level of education.
Seventy‐five percent of the hip operations in Sweden are carried out on Monday, Tuesday, and Wednesday with Friday (4–5%) being the least productive day. Surgery at the weekend was infrequent. The proportion of hip surgery performed in University hospitals has seen a continuous drop from 16% to 9%, whereas THR activity in the private sector has increased from 8% to 19%, as result of the government drive to reduce waiting times. The share performed in both rural and county hospitals has overall remained constant.
Surgical Technique
With regards to surgical technique there is in Sweden an evolution away from the direct‐lateral approach with patients supine from 19% to 5% and move toward lateral approach in lateral decubitus from 18% to 42% with the posterior approach slowly losing ground from 63% to 51%. More than 93% of the patients undergo their surgery being positioned in lateral decubitus, an increase from 81%.
Fixation
Fully cemented hips have traditionally been the mainstay of treatment in Sweden although the share has diminished over the years from 92% in 1999 to 68% in 2012. In the same period, the share of uncemented has gone up from 2% to 16% with the biggest increase between 2005 and 2008. Reverse hybrid implants have seen a similar rise from 1% to 14%. In contradistinction to the practice in many countries, conventional hybrid THR's have been used very infrequently in Sweden (Fig. 8). Resurfacing implants have never been implanted in great numbers and their use peaked between 2005 and 2008 at less than 2%.
Figure 8.
Fixation type.
Bearings
Metal‐on‐polyethylene has been used in the majority of hip replacements (86%) with a movement toward cross‐linked polyethylene since 2008. Of the hard‐on‐hard bearings, the use of metal‐on‐metal (resurfacing and conventional) peaked in 2008 at 2% but use of this pairing is almost obsolete since 2010. Ceramic‐on‐ceramic is hardly used in Sweden (<1%), but the use of a hard‐on‐soft ceramic‐on‐polyethylene bearing has increased from 7% in 1999 to 12% in 2012 (Fig. 9). During the study period, we have identified a shift in 2010 from 28 mm heads in the majority of cases to >32 mm. In 2012, 32 mm heads accounted for 62% of implants (Fig. 10).
Figure 9.
Bearing couples used in different years (XLPE = Highly cross‐linked poly‐ethylene; COP = Ceramic‐on‐Poly‐ethylene; CoC = Ceramic‐on‐Ceramic; MoP = Metal‐on‐Poly‐ethylene; MoM = Metal‐on‐Metal).
Figure 10.
Evolution of headsizes.
Revisions and Other Re‐operations
In the SHAR revisions are classified as an operation where there is an exchange or removal of any of the components, whereas a re‐operation is per definition all revisions and all other hip‐related operations. The 2‐year re‐operation and revision rates are improving, however there seems to be an increase in early (30‐ and 90‐day) re‐operation and revision rates, this increase started to occur around 2002 (Figs. 11 and 12). The main reasons for re‐operations at 30 and 90 days have shown a change in pattern. Nowadays infection is the primary cause for re‐operation and there has been an increase in re‐operations for both infection as well as fractures, with the numbers of re‐operations for dislocation decreasing (Figs. 13 and 14).
Figure 11.
Re‐operation rate at 30 and 90 days and 2 years.
Figure 12.
Revision rate at 30 and 90 days and 2 years.
Figure 13.
Reason for revision at 30 days in absolute figures (data starts in 2000).
Figure 14.
Reason for revision at 90 days in absolute figures (data starts in 2000).
Mortality
The 90‐day mortality has reduced from 1.1% to 0.7% in the time period with the absolute number remaining the same with a 50% increase in number of operations. The 30‐day mortality has largely followed the same trends (Fig. 15).
Figure 15.
A 30‐ and 90‐day mortality.
Patient‐Reported Outcomes
As the PROMs program was initiated in 2002, data is only available from that point onwards and reached nationwide extent in 2008 with 86% completeness.5 The self‐reported Charnley classification has remained about constant with the majority of patients declaring that they have unilateral disease or multi joint disease pre‐operatively. During the last part of the period studied, the patients undergoing surgery are reporting more pain in the pre‐operative period from average of 62.5 in 2008 to 63.5 in 2012, less problems with the EQ‐5D, 0.40 to 0.41 and EQ VAS increasing from 53.2 to 57.1 (Figs. 16–18). The post‐operative figures are improving with pain reducing from 14.7 to 13.8, EQ‐5D improving from 0.77 to 0.78, and EQ VAS increasing from 75.1 to 76.1 (Figs. 16–18). The overall patient satisfaction as measured with Satisfaction VAS is showing increased satisfaction (score between 0 and 20 = extremely satisfied) (Fig. 19).
Figure 16.
EQ‐5D pre‐ and post‐operative scores.
Figure 18.
Pain VAS pre‐ and post‐operative.
Figure 19.
Satisfaction VAS post‐operative scores.
Figure 17.
EQ VAS pre‐ and post‐operative.
DISCUSSION
Quality registers in Sweden have to publish annual reports of their findings and the yearly reports have been the norm from the SHAR. In addition to the information described in the yearly SHAR report, we have been able to analyze socio‐economic data as well as patient‐related data for this paper and this is for the first time. Besides a pure description of the trends we endeavor, amongst other important issues, to highlight some warning signs about the increase of early revisions, and re‐operations.
In the Swedish population there has been a steady increase in total hip replacements performed. An initial sharp rise was observed, most probably resulting form a government drive to deal with waiting list problems. Subsequently a minimal (and negligible) increase in numbers performed per year was observed. This is in contrast with the expectation as published by Kurtz, since after the initial increase, we describe a stabilization in the incidence of THR in recent years.22, 23, 24 The increase in prevalence of patients with THR is most likely to be secondary to the increasing number of younger patients having surgery and the increasing life expectancy. The increase in prevalence, the younger age at the time of surgery, and the consequences of osteoporosis might well have a longer‐term consequence, currently not evident, of an increase in revision burden for possibly periprosthetic fractures and infections.
Our data shows that in 2012 hip replacements were performed at an average 0.7 years earlier than in 1999, which is a small change with weak clinical significance. This is, however in line with the reports from other countries and might mean that we are operating earlier in the disease process or that younger people present with symptoms (earlier start of the disease process) bad enough to warrant surgery. The latter is reflected in our pain VAS findings and we believe we are operating on patients with a higher level of self‐reported pain, however without a clinical significant change in self‐reported health‐related quality of life prior to undergoing the surgery. More patients with multiple comorbidities and high ASA scores undergo surgery. This seems to be a trend around the developed world and despite the increased medical challenge these patients can cause, the outcome does not seem to be affected. Socio‐economic data in the form of average income as well as highest level of education of hip replacements in Sweden is improving. This improvement in socio‐economic status has in other studies been linked to better outcomes.25, 26 Whether or not this has an effect on the Swedish patients will be subject to further in depth analysis.
Sweden, always considered as being a conservative country with regards to implant choice has seen a movement away from the traditional all cemented implants—mainly in the younger age groups. We believe one of the reasons for this change of fixation choice is the feedback received in the form of the annual reports as issued by the SHAR. The trend away from fully cemented implants toward uncemented implants is discussed in a research paper from the Nordic Arthroplasty Register Association (NARA) in the paper titled the uncemented paradox.27, 28 This change in practice has accelerated in recent years although cemented implants still constitute the majority overall. Whether or not this will have a positive influence on re‐operation and revision rates or PROMS outcomes is not known and cannot be predicted. Compared with other countries there are only a limited numbers of both cemented and uncemented brands implanted. Since 2010, we have observed an increased usage of 32 mm heads and XLPE. These changes seem to have an effect on the revision rates due to loosening and dislocation (SHAR report 2015 [https://registercentrum.blob.core.windows.net/shpr/r/Annual-Report-2015-H19dFINOW.pdf]) but has to be more firmly defined within the register.
We found decreasing mortality in the early post‐operative period (30 and 90 days) similar to other publications,29, 30 this despite an increase in comorbidity. The reason for this is likely to be multi‐factorial and will certainly include advances in in the pre‐ and peri‐operative investigation and care of patients. We do not believe that the reduced average age at the time of operation should be considered as a major influence of decreasing mortality. The introduction of fast‐track surgery and the use of VTE prophylaxis might well be more important. Separate studies from the SHAR using the same data have shown an improved long‐term patient survival in comparison with a matched (age and gender) population. Further analysis of the reporting of the comorbidity should be performed to ascertain whether the increase in comorbidity is due to a change in reporting and/or a change in reimbursement and that could well be considered a limitation of this study.
There is a slight concern with regards to the small but statistically significant increase in number of early revisions and re‐operations since 2002. This seems to be coincidental with the increased usage of uncemented implants in Sweden and increased revisions for fractures in the early post‐operative period suggesting a causal relationship.31 A reason for increasing number of early revisions might be a more aggressive attitude to treat suspected deep infections with debridement, lavage, and change of femoral head/liner, as we have found an increased percentage of early re‐operations and revisions, recorded for reason of infection. The second reason for increase for re‐operations/revisions is periprosthetic fractures as we have seen an increase in periprosthetic fractures treated surgically in the early post‐operative stages. This finding has also been reported by Thien et al.33 and Pedersen et al.,32 who described in two studies both from the Nordic Arthroplasy Register Association (NARA) database the association between fixation technique and revision risk and concluded there was an increase of early revisions with use of uncemented fixation.
It will be interesting to perform further long‐term review of the patients within the database and see if the life‐time risk of revision for Swedish patients following total hip replacements are similar to the ones published by Abdel et al.34 using multiple and different implants and on a countrywide level. The possible importance of the early re‐operations and revisions and its possible importance and impact on the lifetime health risk will be subject for further analysis.
The PROMs program has been an essential part of the data collection within the SHAR, the QR's, and more recently in other national registers.35, 36 Other countries, like the UK and the USA, have commenced using PRO(M)s to define outcomes and quality and those could be used to aid in reimbursement system programs, in reports of performance quality and in negotiations with insurance companies.4, 12, 37, 38 With increased attention to patient‐focused outcome it is interesting to see further improvement of the outcome scores and to observe an objective signal that the results are improving. We have seen a small improvement in all the recorded PROMs and this is in line with the overall success rate. With a decrease in early mortality, an overall decrease in re‐operations, revisions, and length of stay and an improvement in outcome measurements we feel that the outcome of hip replacement surgery is improving. We believe that these improvements are mainly caused by improved care pathways and improved pre‐operative and peri‐operative management.39 Further close monitoring, analysis of the failures, and its impact on life time health risk will in our view further improve our understanding and have a potential positive impact on the outcomes. It is however possible that further gains will be depending mainly on patient selection, decision‐making, and further improvements of peri‐operative care, and be less reliant on implant choice.
It is quite clear that the surgical philosophy and practice in Sweden has been influenced by the work of the registers and its continuous feedback to the profession in the form of the annual reports. Such feedback is in our view the basis and is necessary for reflection and continuous improvement.40 Use of a more conservative attitude to adopting new implants has lead to a reduced revision burden in Sweden compared with other countries more open to unproven innovation.41 The new implants and techniques that have been adopted have generally been introduced in a relatively stepwise manner.42, 43 The philosophy of “stepwise” change in practice seems to have been adopted in other countries and the UK's “Beyond Compliance” initiative is an example of how this vision is being further developed. While register‐based research cannot prove causality it can provide evidence of our success stories to resist purely marketing‐driven or fashion‐induced drivers for change.14
AUTHORS’ CONTRIBUTIONS
Peter Cnudde: Conceived the study, data collection, drafting of the manuscript, editing of the manuscript, and data analysis. Szilard Nemes: Statistical analysis, editing of the manuscript, and data analysis. Erik Bülow: Statistical analysis, editing of the manuscript, and data analysis. John Timperley: Editing of the manuscript and data analysis. Henrik Malchau: Editing of the manuscript and data analysis. Johan Kärrholm: Drafting of the manuscript, statistical analysis, editing of the manuscript, and data analysis. Göran Garellick: Editing of the manuscript and data analysis. Ola Rolfson: Statistical analysis, editing of the manuscript and data analysis. All authors have read and approved the final submitted manuscript.
ACKNOWLEDGMENTS
No internal or external funding for this study was received. No authors have received or will receive benefits for personal or professional use from a commercial party related directly or indirectly to the subject of this article. We gratefully acknowledge and thank the register coordinators at the SHAR for their assistance with this study.
REFERENCES
- 1. Charnley J. 1970. Total hip replacement by low‐friction arthroplasty. Clin Orthop Relat Res 72:7–21. [PubMed] [Google Scholar]
- 2. Junnila M, Laaksonen I, Eskelinen A, et al. 2016. Implant survival of the most common cemented total hip devices from the Nordic Arthroplasty Register Association database. Acta Orthop 87:546–553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Patel AA. 2016. Patient‐reported outcome measures: the promise of PROMIS. J Am Acad Orthop Surg 24:743. [DOI] [PubMed] [Google Scholar]
- 4. Black N. 2013. Patient reported outcome measures could help transform healthcare. BMJ 346:f167. [DOI] [PubMed] [Google Scholar]
- 5. Rolfson O, Karrholm J, Dahlberg LE, et al. 2011. Patient‐reported outcomes in the Swedish Hip Arthroplasty Register: results of a nationwide prospective observational study. J Bone Joint Surg Br 93B:867–875. [DOI] [PubMed] [Google Scholar]
- 6. Rolfson O, Rothwell A, Sedrakyan A, et al. 2011. Use of patient‐reported outcomes in the context of different levels of data*. J Bone Joint Surg 93:66–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Varagunam M, Hutchings A, Black N. 2015. Do patient‐reported outcomes offer a more sensitive method for comparing the outcomes of consultants than mortality? A multilevel analysis of routine data. BMJ Qual Saf 24:195–202. [DOI] [PubMed] [Google Scholar]
- 8. Brand RA. 2009. Ernest amory codman, MD, 1869–1940. Clin Orthop Relat Res 467:2763–2765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Kärrholm J. 2010. The Swedish Hip Arthroplasty Register (http://www.shpr.se). Acta Orthopaedica 81:3–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Nilsson E, Orwelius L, Kristenson M. 2016. Patient‐reported outcomes in the swedish national quality registers. J Intern Med 279:141–153. [DOI] [PubMed] [Google Scholar]
- 11. Cnudde P, Rolfson O, Nemes S, et al. 2016. Linking Swedish health data registers to establish a research database and a shared decision‐making tool in hip replacement. BMC Musculoskelet Disord 17:414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Ayers DC, Franklin PD. 2014. Joint replacement registries in the United States: a new paradigm. The J Bone Joint Surg Am 96:1567–1569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Inacio MC, Paxton EW, Dillon MT. 2016. Understanding orthopaedic registry studies: a comparison with clinical studies. J Bone Joint Surg Am 98:e3. [DOI] [PubMed] [Google Scholar]
- 14. Berry DJ. 2017. Joint registries: what can we learn in 2016? Bone Joint J 99‐B:3–7. [DOI] [PubMed] [Google Scholar]
- 15. Patel AA, Singh K, Nunley RM, et al. 2016. Administrative databases in orthopaedic research: pearls and pitfalls of big data. J Am Acad Orthop Surg 24:172–179. [DOI] [PubMed] [Google Scholar]
- 16. Konan S, Haddad FS. 2013. Joint Registries: a Ptolemaic model of data interpretation? Bone Joint J 95‐B:1585–1586. [DOI] [PubMed] [Google Scholar]
- 17. Slobogean GP, Giannoudis PV, Frihagen F, et al. 2015. Bigger data, bigger problems. J Orthop Trauma 29:S43–S46. [DOI] [PubMed] [Google Scholar]
- 18. Timperley AJ, Haddad FS. 2013. The transparency agenda and the orthopaedic data revolution. Bone Joint J 95‐B:1153–1155. [DOI] [PubMed] [Google Scholar]
- 19. Pugely AJ, Martin CT, Harwood J, et al. 2015. Database and registry research in orthopaedic surgery: part 2: clinical registry data. J Bone Joint Surg Am 97:1799–1808. [DOI] [PubMed] [Google Scholar]
- 20. Burns PB, Rohrich RJ, Chung KC. 2011. The levels of evidence and their role in evidence‐based medicine. Plast Reconstr Surg 128:305–310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Charnley J. 1972. The long‐term results of low‐friction arthroplasty of the hip performed as a primary intervention. J Bone Joint Surg Br 54:61–76. [PubMed] [Google Scholar]
- 22. Nemes S, Gordon M, Rogmark C, et al. 2014. Projections of total hip replacement in Sweden from 2013 to 2030. Acta Orthopaedica 85:238–243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Kurtz S, Ong K, Lau E, et al. 2007. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am 89:780–785. [DOI] [PubMed] [Google Scholar]
- 24. Mont MA, Issa K. 2014. Updated projections of total joint arthroplasty demands in America: commentary on an article by Steven M. Kurtz, PhD, et al.: “Impact of the economic downturn on total joint replacement demand in the United States. Updated projections to 2021”. J Bone Joint Surg Am 96:e68.61–e68.62. [DOI] [PubMed] [Google Scholar]
- 25. Allen Butler R, Rosenzweig S, Myers L, et al. 2011. The Frank Stinchfield Award: the impact of socioeconomic factors on outcome after THA: a prospective, randomized study. Clin Orthop Relat Res 469:339–347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Whitehouse SL, Bolland BJ, Howell JR, et al. 2014. Mortality following hip arthroplasty‐inappropriate use of National Joint Registry (NJR) data. J Arthroplasty 29:1827–1834. [DOI] [PubMed] [Google Scholar]
- 27. Troelsen A, Malchau E, Sillesen N, et al. 2013. A review of current fixation use and registry outcomes in total hip arthroplasty: the uncemented paradox. Clin Orthop Relat Res 471:2052–2059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Makela KT, Matilainen M, Pulkkinen P, et al. 2014. Countrywise results of total hip replacement. An analysis of 438,733 hips based on the Nordic Arthroplasty Register Association database. Acta Orthop 85:107–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Aynardi M, Pulido L, Parvizi J, et al. 2009. Early mortality after modern total hip arthroplasty. Clin Orthop Rel Res 467:213–218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Lalmohamed A, Vestergaard P, De Boer A, et al. 2014. Changes in mortality patterns following total hip or knee arthroplasty over the past two decades: a nationwide cohort study. Arthritis Rheumatol 66:311–318. [DOI] [PubMed] [Google Scholar]
- 31. Makela KT, Matilainen M, Pulkkinen P, et al. 2014. Failure rate of cemented and uncemented total hip replacements: register study of combined Nordic database of four nations. BMJ 348:f7592. [DOI] [PubMed] [Google Scholar]
- 32. Pedersen AB, Mehnert F, Havelin LI, et al. 2014. Association between fixation technique and revision risk in total hip arthroplasty patients younger than 55 years of age. Results from the Nordic Arthroplasty Register Association. Osteoarthritis Cartilage 22:659–667. [DOI] [PubMed] [Google Scholar]
- 33. Thien TM, Chatziagorou G, Garellick G, et al. 2014. Periprosthetic femoral fracture within two years after total hip replacement: analysis of 437,629 operations in the nordic arthroplasty register association database. J Bone Joint Surg Am 96:e167. [DOI] [PubMed] [Google Scholar]
- 34. Abdel MP, Roth PV, Harmsen WS, et al. 2016. What is the lifetime risk of revision for patients undergoing total hip arthroplasty? A 40‐year observational study of patients treated with the Charnley cemented total hip arthroplasty. Bone Joint J 98‐B:1436–1440. [DOI] [PubMed] [Google Scholar]
- 35. Rolfson O, Bohm E, Franklin P, et al. 2016. Patient‐reported outcome measures in arthroplasty registries report of the Patient‐Reported Outcome Measures Working Group of the International Society of Arthroplasty Registries Part II. Recommendations for selection, administration, and analysis. Acta Orthop 87:9–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Rolfson O, Eresian Chenok K, Bohm E, et al. 2016. Patient‐reported outcome measures in arthroplasty registries. Acta Orthop 87:3–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Franklin PD, Harrold L, Ayers DC. 2013. Incorporating patient‐reported outcomes in total joint arthroplasty registries: challenges and opportunities. Clin Orthop Relat Res 471:3482–3488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Ayers DC, Bozic KJ. 2013. The importance of outcome measurement in orthopaedics. Clin Orthop Relat Res 471:3409–3411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Rolfson O, Malchau H. 2015. The use of patient‐reported outcomes after routine arthroplasty: beyond the whys and ifs. Bone Joint J 97‐B:578–581. [DOI] [PubMed] [Google Scholar]
- 40. Malchau H, Garellick G, Eisler T, et al. 2005. Presidential guest address: the Swedish Hip Registry: increasing the sensitivity by patient outcome data. Clin Orthop Relat Res 441:19–29. [DOI] [PubMed] [Google Scholar]
- 41. Anand R, Graves SE, de Steiger RN, et al. 2011. What is the benefit of introducing new hip and knee prostheses? J Bone Joint Surg Am 93:51–54. [DOI] [PubMed] [Google Scholar]
- 42. Malchau H, Bragdon CR, Muratoglu OK. 2011. The stepwise introduction of innovation into orthopedic surgery: the next level of dilemmas. J Arthroplasty 26:825–831. [DOI] [PubMed] [Google Scholar]
- 43. Adami HO, Hernán MA. 2015. Learning how to improve healthcare delivery: the Swedish Quality Registers. J Intern Med 277:87–89. [DOI] [PMC free article] [PubMed] [Google Scholar]