Patient satisfaction and patient-reported outcome measures after primary ankle arthrodesis: 2-year results from the Swedish Ankle Registry
Alexandra UNDÉN, Lars JEHPSSON, Anders HENRICSON, Magnus K KARLSSON, Björn E ROSENGREN

TL;DR
This study evaluates patient satisfaction and outcomes after ankle arthrodesis surgery using data from the Swedish Ankle Registry over two years.
Contribution
The study provides new insights into factors influencing satisfaction and outcomes after ankle arthrodesis using a national registry.
Findings
69% of patients were satisfied with ankle arthrodesis surgery two years postoperatively.
Higher preoperative SEFAS scores were associated with greater postoperative satisfaction.
Male sex and certain arthritis types correlated with better outcome scores.
Abstract
Ankle arthrodesis (AA) and total ankle replacement are the 2 main surgical treatment options for advanced ankle arthritis but information is scarce on satisfaction and patient-reported outcome measures (PROMs) after surgery. We aimed to evaluate postoperative satisfaction, changes in PROMs from before to 2 years after AA, and factors associated with the outcome. This is a national registry-based observational study using the Swedish Ankle Registry. We identified 1,145 patients who underwent AA between 2008 and 2020 who answered a question on satisfaction, and between 662 and 702 patients who answered pre- and 2-year postoperative PROMs (SElf reported Foot and Ankle Score [SEFAS], EQ-5D index, and EQ-5D VAS). We analyzed changes in scores and associations between surgical/patient factors (including preoperative PROMs) and the outcomes satisfaction/postoperative PROM score. All mean…
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Figure 1| Factor | With data | Without data |
|---|---|---|
| Preoperative SEFAS | ||
| Patients, n | 1,133 | 1,997 |
| Men (%) | 58 | 54 |
| Age (SD) | 63 (13) | 61 (13) |
| Diagnosis (%) | ||
| RA | 10 | 11 |
| PtA | 43 | 44 |
| OA | 32 | 27 |
| Other | 15 | 18 |
| Preoperative EQ-5D index | ||
| Patients, n | 1,184 | 1,946 |
| Men (%) | 58 | 53 |
| Age (SD) | 63 (13) | 61 (13) |
| Diagnosis (%) | ||
| RA | 9 | 11 |
| PtA | 43 | 44 |
| OA | 32 | 27 |
| Other | 16 | 18 |
| Preoperative EQ-5D VAS | ||
| Patients, n | 1,159 | 1,971 |
| Men (%) | 57 | 54 |
| Age (SD) | 62 (13) | 62 (13) |
| Diagnosis (%) | ||
| RA | 9 | 11 |
| PtA | 43 | 44 |
| OA | 32 | 27 |
| Other | 16 | 18 |
| Information on satisfaction | ||
| Patients, n | 1,145 | 1,985 |
| Men (%) | 58 | 54 |
| Age (SD) | 64 (12) | 61 (14) |
| Diagnosis (%) | ||
| RA | 10 | 10 |
| PtA | 39 | 46 |
| OA | 35 | 35 |
| Other | 15 | 18 |
| Preoperative values | ||
| SEFAS | 16 (6) | 15 (7) |
| EQ-5D index | 0.37 (0.32) | 0.33 (0.32) |
| EQ-5D VAS | 55 (22) | 54 (22) |
| PROM | MCID | n | Δ score (CI) | P value |
|---|---|---|---|---|
| SEFAS | 5 | 662 | 15 (14–16) | < 0.001 |
| EQ-5D index | 0.06 | 702 | 0.32 (0.30–0.35) | < 0.001 |
| EQ-5D VAS | 11 | 688 | 14 (12–16) | < 0.001 |
| Variable | Odds ratio for satisfaction (CI) Imputed data with preoperative | ||
|---|---|---|---|
| SEFAS n = 1,117 | EQ-5D index n = 1,117 | EQ-5D VAS n = 1,117 | |
| Preoperative PROM | 1.04 (1.01–1.07) | 1.38 (0.79–2.42) | 1.01 (1.00–1.01) |
| Age | 0.99 (0.98–1.01) | 0.99 (0.98–1.01) | 1.00 (0.98–1.01) |
| Sex | |||
| Female | Reference | Reference | Reference |
| Male | 1.03 (0.78–1.35) | 1.07 (0.81–1.40) | 1.07 (0.82–1.41) |
| Diagnosis | |||
| RA | Reference | Reference | Reference |
| PtA | 1.05 (0.66–1.67) | 1.07 (0.68–1.70) | 1.06 (0.67 1.68) |
| OA | 1.72 (1.06–2.80) | 1.75 (1.08–2.83) | 1.72 (1.06–2.79) |
| Other | 0.75 (0.44–1.25) | 0.81 (0.49–1.35) | 0.82 (0.49–1.35) |
| Procedure | |||
| Open screw | Reference | Reference | Reference |
| Plate | 0.80 (0.54–1.20) | 0.82 (0.55–1.22) | 0.81 (0.54–1.21) |
| Intramedullary nail | 1.13 (0.79–1.62) | 1.11 (0.77–1.59) | 1.10 (0.77–1.58) |
| Arthroscopic screw | 1.13 (0.78–1.66) | 1.18 (0.81–1.72) | 1.17 (0.80–1.71) |
| Pseudo R squared (Nagelkerke) | 0.042 | 0.029 | 0.031 |
| Variable | Odds ratio for dissatisfaction (CI) Imputed data with preoperative | ||
|---|---|---|---|
| SEFAS n = 1,117 | EQ-5D index n = 1,117 | EQ-5D VAS n = 1,117 | |
| Preoperative PROM | 0.96 (0.93–0.99) | 0.99 (0.38–2.55) | 1.00 (0.98–1.01) |
| Age | 0.99 (0.98–1.01) | 0.99 (0.98–1.01) | 0.99 (0.98–1.01) |
| Sex | |||
| Female | Reference | Reference | Reference |
| Male | 1.14 (0.81–1.60) | 0.07 (0.76–1.49) | 1.08 (0.77–1.51) |
| Diagnosis | |||
| RA | Reference | Reference | Reference |
| PtA | 0.86 (0.49–1.51) | 0.83 (0.47–1.45) | 0.86 (0.49–1.51) |
| OA | 0.66 (0.37–1.19) | 0.64 (0.36–1.15) | 0.66 (0.37–1.19) |
| Other | 1.09 (0.59–2.03) | 0.99 (0.54–1.83) | 1.02 (0.55–1.87) |
| Procedure | |||
| Open screw | Reference | Reference | Reference |
| Plate | 1.15 (0.70–1.89) | 1.17 (0.72–1.91) | 1.14 (0.70–1.86) |
| Intramedullary nail | 0.99 (0.64–1.53) | 1.01 80.65–1.56) | 1.02 (0.66–1.57) |
| Arthroscopic screw | 0.88 (0.55–1.42) | 0.86 (0.53–1.37) | 0.86 (0.54–1.38) |
| Pseudo R squared (Nagelkerke) | 0.030 | 0.014 | 0.016 |
| SEFAS Mixed model coefficient (CI) n = 1,749/6,260 | EQ-5D index Mixed model coefficient (CI) n = 1,840/6,260 | EQ-5D VAS Mixed model coefficient (CI) n = 1,803/6,260 | |
|---|---|---|---|
| Age | 0.03 (–0.003 to 0.05) | 0.003 (0.002 to 0.004) | 0.09 (0.02 to 0.17) |
| Sex | |||
| Female | Reference | Reference | Reference |
| Male | 1.71 (0.94 to 2.47) | 0.08 (0.04 to 0.11) | 3.29 (0.74 to 5.83) |
| Diagnosis | |||
| RA | Reference | Reference | Reference |
| PtA | 1.02 (–0.21 to 2.24) | 0.08 (0.03 to 0.12) | 8.46 (5.17 to 11.8) |
| OA | 1.35 (0.09 to 2.61) | 0.09 (0.04 to 0.14) | 9.27 (5.87 to 12.7) |
| Other | 1.56 (0.16 to 2.96) | 0.01 (–0.04 to 0.07) | 5.56 (1.82 to 9.30) |
| Timepoint | |||
| Primary | Reference | Reference | Reference |
| Secondary | 13.8 (12.8 to 14.8) | 0.35 (0.32 to 0.38) | 14.4 (12.1 to 16.8) |
| Sex/timepoint interaction | 1.36 (0.04 to 2.69) | –0.03 (–0.07 to 0.02) | –0.52 (–3.62 to 2.57) |
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Taxonomy
TopicsFoot and Ankle Surgery · Total Knee Arthroplasty Outcomes · Bone fractures and treatments
Ankle arthrodesis (AA) and total ankle replacement (TAR) represent the 2 most common surgical treatment methods for advanced ankle osteoarthritis. The only randomized controlled trial (RCT) comparing TAR and AA contributed with important but limited information [1] and choice of procedure largely remains in the hands of the surgeon and patient.
Many studies have shown adequate results after AA regarding healing and complications [2,3]. Although some smaller studies have pointed to adequate patient satisfaction after AA [4-6] others indicated that a substantial proportion of patients remain dissatisfied [7,8].
Some previous reports have also found that the outcome of AA may be influenced by sex and the preoperative disability, i.e., an association between preoperative patient-reported outcome measure (PROM) scores and postoperative improvement [9], and others that women have worse preoperative and postoperative pain and disability than men [10]. This implies that preoperative PROM scores may possibly be used as predictors of subjective outcome in patients with ankle arthritis [9] and that AA outcome studies should take sex into account [10].
We aimed to evaluate (i) patient satisfaction 2 years after AA, (ii) changes in PROMs from before to 2 years after AA, and (iii) factors associated with a better or worse outcome.
Methods
This is a national registry-based observational study using data from the official national quality registry for ankle surgery (the Swedish Ankle Registry); the current coverage is 95% and completeness is 95%.
The Swedish Ankle Registry [11] contains information on AAs performed in Sweden since 1998. Patient data regarding sex, age, diagnosis, details on surgery, complications, and revision surgery are registered by the surgeon. Since 2008, generic and region-specific PROMs have been included in the registry and filled out by patients pre- and postoperatively, including a question on satisfaction with the surgery.
The study is reported according to STROBE guidelines.
Outcomes
The generic EQ-5D includes an index (UK tariff) that estimates general health on a scale from –0.56 to best possible 1, as well as a visual analogue scale EQ-5D VAS for self-estimated general health status (0 to best possible 100). Foot and ankle function is evaluated by the Swedish validated region-specific SElf-reported Foot and Ankle Score (SEFAS) [12,13]. The SEFAS consists of 12 questions with 5 response options, each with a possible score of 0 to 4, with a total score of worst 0 to best possible 48. The performance of SEFAS is at least similar compared with the American Orthopaedic Foot and Ankle Society (AOFAS) score [14] and the Manchester–Oxford Foot Questionnaire (MOXFQ) [13].
We calculated score changes (Δ) by subtracting the preoperative scores from the postoperative scores. Minimal clinically important difference (MCID) is defined as the smallest difference in a score that is considered to be worthwhile or important [15]. For SEFAS MCID is 5 [16] for foot and ankle procedures.
There is no specific EQ-5D MCID value for surgical procedures of the ankle joint, and we used EQ-5D index 0.06 and EQ-5D VAS 11 according to Strand et al. [15]. Postoperatively, patients also answer a question on satisfaction with the surgical result on a 5-grade Likert scale (very satisfied, satisfied, neither satisfied nor dissatisfied, dissatisfied, or very dissatisfied).
Statistics
Descriptive statistics were used to present the data, i.e., absolute frequencies, proportions (%) or means with standard deviations (SD). For inferential statistics we used means with 95% confidence intervals (CI). To analyze changes in PROMs we used paired samples t-tests. Due to the study design, floor and ceiling effects as well as regression to the mean may be present. Random slopes were tested to address possible floor and ceiling effects, but model fit did not improve. Any regression to the mean would likely have reduced rather than produced the observed associations and is unlikely to have affected the overall findings.
Satisfaction with surgery was recoded from the original 5-grade Likert scale into a 3-grade scale: “satisfied” (satisfied and very satisfied), “uncertain” (neither satisfied nor dissatisfied), and “dissatisfied” (dissatisfied and very dissatisfied). Based on this 3-grade scale, we created 2 separate dichotomous variables used in the logistic regression. In the first variable uncertain patients were grouped with dissatisfied patients to assess factors related to being satisfied vs being dissatisfied/uncertain. In the second variable uncertain patients were grouped with satisfied patients to assess factors associated with being dissatisfied vs being satisfied/uncertain. Henceforth in the text we will, if not otherwise specified, use the respective dichotomous variables when referring to satisfied and dissatisfied patients.
Our interest lies in analyzing associations between important available factors (preoperative PROM scores, sex, age, diagnosis, and procedure) and the outcomes: satisfaction and postoperative PROM score. Previous publications indicate that sex, age, diagnosis, and preoperative PROM score are associated with postoperative PROM score [4,9,17], and we suspected that this applied to satisfaction as well. Sex, age, and diagnosis may also influence the exposure (i.e., surgery) and we therefore, where applicable, adjusted for these factors.
As a considerable number of patients had only 1 observation (pre- or postoperative) (Figure), we utilized multiple imputation (5 iterations) to impute pre- or postoperative data using age, sex, diagnosis, procedure, existing pre- and postoperative PROMs, and satisfaction/dissatisfaction as predictors. We then performed logistic regression models on the imputed data to analyze associations between satisfaction/dissatisfaction and preoperative PROMs, age, sex, diagnosis, and procedure. We included patients who answered a pre- or postoperative PROM, as well as the question on satisfaction (n = 1,117). We performed 2 analyses per PROM (6 in total), adjusting for age, sex, procedure, and diagnosis in all models, as well as for the preoperative PROM being investigated. Outcomes were either satisfaction or dissatisfaction. Pseudo R squared (Nagelkerke) is provided as an indicator of goodness of fit.
Flowchart of patient selection and participation, showing the 3,250 primary ankle arthrodeses (AA) registered in the Swedish Ankle Registry between 2008 and 2020.
We used mixed-effect models to examine the associations between the 3 PROMs (outcome) and age, sex, and diagnosis. 3 mixed-effects models were fitted (1 for each PROM), each with a subject-specific random intercept and no additional random effects. Models were adjusted for age, sex, diagnosis, timepoint, and a sex-by-timepoint interaction. Model adequacy was assessed through residual diagnostics, including residuals vs predicted values and normal probability plots, with no major violations of assumptions observed.
To build more robust statistical models, rare diagnoses such as septic arthritis, pes equinovarus deformity, and diabetic enthesopathy were added to “Other” diagnoses. The 4 most common procedures—“open screw fixation,” “arthroscopic screw fixation,” intramedullary nail,” and “plate”—were included, excluding less common procedures such as external fixation and staples as well as missing data (total n = 111/3,130) from the logistic regression analysis. For reference we provide results from complete case analyses in Supplementary Tables 1 and 2. We used the Statistical Package for the Social Sciences (SPSS) version 26 (IBM Corp, Armonk, NY, USA) for statistical analyses.
Ethics, funding, and disclosures
The study was approved by the Ethical Review Board of Lund University (Dnr 2014/448) and conducted in accordance with the Helsinki Protocol. The work was supported by grants from ALF and the FoUU of Region Skåne, Greta Koch, Herman Järnhardt, Maggie Stephens, Guldbyxan, and Skåne University Hospital foundations. Funders had no influence on the design of the study, the collection, analysis, or interpretation of data, on writing the manuscript, or in any other part of the study.
The authors declare no conflicts of interest. Complete disclosure of interest forms according to ICMJE are available on the article page, doi: 10.2340/17453674.2026.45374
Results
Between 2008 and 2020, we identified 3,250 patients in the Swedish Ankle Registry who had undergone primary AA (Figure). There were 119 bilateral cases and 1 duplicate. The duplicate was excluded and to avoid selection bias we excluded the second arthrodesis in the bilateral cases, leaving 3,130. Of these, 55% were male, mean age was 62 (SD 13), and distribution of diagnoses was posttraumatic arthritis (PtA) 44%, osteoarthritis (OA) 29%, rheumatoid arthritis (RA) 10%, other 13%, diabetic enthesopathy 2%, septic arthritis 1%, and pes equinovarus 1%. Data on included patients and non-responders regarding preoperative PROMs, age, sex, and diagnosis are presented in Table 1.
2 years after AA surgery 1,145 patients (37%) answered the question on satisfaction (see Figure).
Outcomes
69% of responders were satisfied, 15% uncertain, and 16% dissatisfied. All mean PROM scores improved from pre- to 2 years postoperatively (all P < 0.001) and all mean changes were clinically relevant (> MCID values) (Table 2).
We found that a higher preoperative SEFAS score was associated with satisfaction (Table 3) and also that a lower preoperative SEFAS score was associated with dissatisfaction (Table 4). Furthermore, those with the diagnosis OA (compared with RA), were more likely to be satisfied (Table 3). We found no apparent associations between procedure, preoperative EQ-5D index, or preoperative EQ-5D VAS with either satisfaction or dissatisfaction (Tables 3 and 4).
In the mixed-effects model, we found that male sex and diagnoses OA and “other” (compared with RA) were associated with higher SEFAS score. Male sex, diagnoses PtA and OA (compared with RA), as well as higher age, were associated with higher EQ-5D index score. Male sex, diagnoses PtA, OA and “other” (compared with RA), as well as higher age, were associated with higher EQ-5D VAS (Table 5).
Discussion
We aimed to evaluate postoperative satisfaction, changes in PROMs from before to 2 years after AA and factors associated with a better/worse outcome.
We found that 69% of patients were satisfied with the AA, and that all mean PROM scores had improved statistically and clinically significantly 2 years after surgery. Higher preoperative SEFAS score and the diagnosis OA were associated with satisfaction, while a lower preoperative SEFAS score was associated with dissatisfaction. Male sex, some diagnoses, and higher age were associated with higher PROMs.
Although the definition of satisfaction and follow-up times varies, our results on satisfaction, 69% 2 years after AA surgery, are comparable to 75% satisfaction 2 years after AA in 88 patients in Sudan [6] and 69% satisfaction mean 5.5 years after AA and contralateral TAR in 16 patients in Sweden [18]. Our results were better than 47% satisfaction at mean 2 years after salvage AA in 68 patients in Sweden [19], but worse than 89% at mean 4 years after bilateral AA in 35 patients in Sweden [4]. Our results were also similar to 72% satisfaction 2 years after TAR in 126 patients in Sweden [20].
We found that higher preoperative SEFAS was associated with satisfaction and lower preoperative SEFAS was associated with dissatisfaction. These findings indicate that preoperative PROMs, at least the region-specific SEFAS, could be a predictor of postoperative outcome in terms of PROM score, supported by the findings of Waly et al. who found an association between preoperative PROMs (Ankle Osteoarthritis Scale and Ankle Arthritis Score) and achieving MCID in physical and mental function [9]. However, our findings also indicate that preoperative SEFAS could facilitate prediction of postoperative satisfaction/dissatisfaction. This could further aid in the preoperative discussion with the patient on available treatments and expected results after AA. The fact that we were unable to find an association between satisfaction and preoperative EQ-5D index or EQ-5D VAS could partly be explained by the fact that the EQ-5D score reflects all aspects of the patient’s general health, as opposed to the specific question of satisfaction with the operated-on ankle, and could thus be expected to be less responsive.
We were unable to find an association between sex and satisfaction/dissatisfaction in the adjusted analyses, despite the fact that we, and others, have found that men score better than women on some PROMs including SEFAS [21] and EQ-5D index [22]. Male sex was associated with higher PROMs (SEFAS, EQ-5D index, and EQ-5D VAS), in line with previous reports, which have shown that men score better on PROMs than women [9,21-23]. We found that RA was associated with lower EQ-5D index and EQ-5D VAS compared with PtA and OA, and with lower SEFAS compared with OA. This could be expected with a systemic disease, and has been found in earlier studies [4,20]. We found that higher age was associated with higher EQ-5D index and EQ-5D VAS scores, consistent with the association between preoperative EQ-5D and higher age reported 2 years after TAR in 126 Swedish patients [20], but contrary to the pattern observed in the general Swedish population [22].
Strengths
The strengths of the current study include the large patient cohort and that the data reflects both the Swedish population and the national Swedish healthcare system, with many different caregivers and surgeons of varying experience, in contrast to reports from single or specialized units or surgeons. Another strength is the combination of generic (EQ-5D) and region-specific (SEFAS) PROMs.
Limitations
Limitations include a risk of selection bias, low participation, incomplete reporting, and data only from Sweden. Although the dropout table (Table 1) did not indicate any major differences, excluded patients were younger and diagnosis, as well as sex, was distributed differently. In order to build more robust statistical models, rare AA procedures were excluded from the regression models, precluding generalizability to groups undergoing these procedures. Another limitation is lack of detailed information on non-responders; trends towards poorer subjective results from this group have been described after other orthopedic procedures [24,25]. With these limitations in mind, generalizability may be questioned.
Confounding by indication is plausible, in that choice of method (AA or TAR) and surgical approach may have been influenced by both preference of the surgeon as well as specific patient factors, none of which we were able to take into account. Although validated for several languages, the SEFAS score has been used in only a few other studies related specifically to AA [4,18,19], which impedes putting results into perspective. Another limitation is that information on patients with severe end-stage OA who do not undergo surgery is missing in our study and within the field.
Our results cover only the 2-year postoperative period. Studies with longer or much longer follow-up are scarce and most often small [2,4,8,9,18]. Some have, however, indicated that AA may be associated with not so favorable outcomes in the long-term perspective, at least regarding degeneration of adjacent joints, but more studies have been deemed necessary [1,2].
Conclusion
Our study indicates that most patients treated with AA who responded to the questionnaire were satisfied with the surgery, and that a high preoperative SEFAS score is associated with satisfaction after surgery.
In perspective, AA seems a reasonable, but not optimal, treatment for end-stage ankle arthritis and we speculate that preoperative SEFAS score may be useful for predicting surgical outcome and facilitate preoperative patient discussions on expected results. Long-term studies on PROMs and satisfaction after AA are needed.
Supplementary data
Supplementary Tables 1–2 are available as Supplementary data on the article page, doi: 10.2340/17453674.2026.45374
Supplementary Material
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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