Does ethnicity and education influence preoperative disability and expectations in patients undergoing total knee arthroplasty?

Participation in a digital self-management intervention for osteoarthritis and socioeconomic inequalities in patient-related outcomes

OBJECTIVE

To investigate changes in socioeconomic inequalities in patient-related outcomes and pain medication use, following participation in a digital self-management intervention for osteoarthritis (OA) in Sweden.

METHOD

Participants with hip/knee OA enrolled in the digital intervention were included. Self-reported outcomes collected were the numerical rating scale (NRS) pain, activity impairment, general health, Knee/Hip injury and Osteoarthritis Outcome Score (KOOS-12, HOOS-12) Pain, Function, and Quality of Life subscales, 5-level EuroQol 5 Dimensions (EQ-5D-5L), Patient Acceptable Symptom State (PASS) for function, walking difficulties, fear of movement, wish for surgery, pain medication use, physical function measured by the 30s chair-stand test, and level of physical activity. Educational attainment was used as a socioeconomic measure and the concentration index was used to assess the magnitude of inequalities at baseline and 3 month follow-up.

RESULTS

The study included 21,688 participants (mean ± sd age 64.1 ± 9.1 years, 74.4% females). All outcomes except for PASS demonstrated inequalities in favour of highly educated participants at both time-points, with highly educated participants reporting better outcomes. At 3 month follow-up, the magnitude of inequality widened for activity impairment, but narrowed for NRS pain, EQ-5D-5L, KOOS-12/HOOS-12 Pain and Function, physical function, and wish for surgery. There were no statistically conclusive changes in the magnitude of inequalities for the remaining outcomes.

CONCLUSIONS

There were inequalities in patient-related outcomes in favour of those with higher education among participants of a digital self-management intervention for OA, although the magnitude of these pre-existing inequalities generally narrowed after the 3 month intervention.

The INDICATE Knee expectations survey detects general patient treatment goals for total knee arthroplasty and the influence of demographic factors on patients expectations

PURPOSE

Post-operative outcome after total knee arthroplasty (TKA) in the treatment of end-stage osteoarthritis correlates strongly with pre-operative impairment-driven patient treatment goals. However, a clinical tool for measuring patient treatment goals in correlation to impairments is still missing, which impedes patient-oriented indication in TKA.

METHODS

Patients scheduled for TKA were recruited in four German hospitals. All patients were handed the INDICATE Knee Score pre-operatively. The score contains 31 treatment goals with respective impairments, subdivided into seven categories. They were asked to rank all treatment goals and impairments on a 3-point scale. Treatment goals and impairments were then checked for frequency of occurrence. Correlation of goal and impairment was tested. Analysis for associations of treatment goals and different cohort characteristics (age, sex, BMI) was conducted.

RESULTS

1.298 patients were included in the study. Seven treatment goals were categorised as "main goal" from more than 90% of all patients ("knee pain", "range of motion", "walking distance", "overall physical function", "climbing stairs", "quality of life", "implant survival"). Comparing age groups, there were significant associations towards higher expectations regarding working, physical and sports related treatment goals in younger patients (< 65y) ("ability to work" (P ≤ .001), "sports activities" (P ≤ .001), "sex life" (P ≤ .001), "dependence on help of others" (P = .015), "preventing secondary impairment" (P = .03), "dependence on walking aids" (P = .005)). Higher BMI resulted in increasing relevance of "weight reduction" (P ≤ .001), "climbing stairs" (P = .039) "global health status" (P = .015) and "long standing" (P = .007) as a "main goal". Analysis for differences in treatment goals regarding sex showed women choosing more treatment goals as "main goals" than men.

CONCLUSION

Seven treatment goals which were expected by > 90% in our collective can be classified as general treatment goals for TKA. Demographic factors (age, sex, BMI) were significantly associated with patients' expectations for TKA. We conclude physicians should clearly assess their patients' demands prior to TKA to maximise post-operative outcome.

LEVEL OF EVIDENCE

Prognostic Level III.

Do Patients With Intersectional Disadvantage Have Poorer Outcomes From Osteoarthritis Management Programs? A Tapered Balancing Study of Patient Outcomes From the Good Life With Osteoarthritis in Denmark Program

OBJECTIVE

To investigate whether adults with potential multiple social disadvantage have poorer outcomes following attendance in an osteoarthritis (OA) management program (OAMP), and if so, what might determine this result.

METHODS

Among consecutive knee OA attendees of the Good Life With Osteoarthritis in Denmark (GLA:D) OAMP in Denmark we defined a group with potential "intersectional disadvantage" based on self-reported educational attainment, country of birth, and citizenship. Outcomes of this group were compared with GLA:D participants who were native Danish citizens with higher educational attainment. Outcomes were pain intensity, Knee Injury and Osteoarthritis Outcome Score (KOOS) quality of life subscale score, and the EuroQol 5-domain instrument in 5 levels (EQ-5D-5L) score at 3 and 12 months. After data preprocessing, we used entropy balancing to sequentially control for differences between the groups in baseline covariates. Mean between-group differences in outcomes were estimated by weighted linear regression.

RESULTS

Of 18,448 eligible participants, 250 (1.4%) were nonnative/foreign citizens with lower education. After balancing for differences in baseline score and in administrative and demographic characteristics, they had poorer outcomes than higher-educated native Danish citizens on pain intensity and EQ-5D-5L score at both follow-up points (e.g., between-group mean differences in pain visual analog scale [0-100] at 3 and 12 months: 3.4 [95% confidence interval (95% CI) -0.5, 7.3] and 6.2 [95% CI 1.7, 10.7], respectively). Differences in KOOS quality of life subscale score, were smaller or absent. Balancing for differences on baseline score, comorbidity, self-efficacy, and depression had the greatest effect on reducing observed outcome inequalities.

CONCLUSION

Outcome inequalities widened following OAMP attendance, particularly at longer-term follow-up, but the magnitude of differences was generally modest and inconsistent across outcome measures. Tailoring content to reduce outcome inequalities may be indicated, but improving access appears the greater priority.

[Patient factors influencing preoperative expectations of patients undergoing total knee arthroplasty]

OBJECTIVE

To investigate the expectations of patients for total knee arthroplasty (TKA), and to analyze its influencing factors.

METHODS

Experimental design: Single center, retrospective, multiple regression analysis. The data including the age, height, and weight of 108 patients undergoing unilateral TKA due to end-stage osteoarthritis were obtained. The patients' preoperative Hospital for Special Surgery (HSS) knee arthroplasty expectation score, the Western Ontario and McMaster Universities (WOMAC) score, Knee Society score (KSS), the MOS 36-item short-from health survey (SF-36) score, and visual analogue scale (VAS) were evaluated, and the 30-second chair-stand test (30-CST), 40-meter fast-paced walk test (40-FPWT), 12-level stair-climb test (12-SCT), 3-meter timed up-and-go test (TUG), 6-minute walk test (6-MWT), and recorded daily steps for 7 consecutive days were performed. The SPSS 22.0 software was used for statistical analysis. The observed values of various data were described. Pearson correlation analysis was used to evaluate the correlation between various parameters, and the multi-factor linear regression analysis was used to investigate the influencing factors of the patients preoperative expectation scores.

RESULTS

The average expectation score of this group of patients was 58.98±5.44. In the Pearson correlation analysis, the patient's preoperative expectation had a weak correlation to the result of the patient's 12-SCT, TUG, 6-MWT, KSS function score, and SF-36 mental component score (correlation coefficient 0.1-0.3). The patient's preoperative expectation had a moderate correlation to the patient's daily average steps, 30-CST, 40-FPWT, KSS, WOMAC and its pain, stiffness, function scores, SF-36 physical functioning, role-physical, bodily pain, vitality, and physical component score (correlation coefficient 0.3-0.6). In the multivariate linear regression analysis, only the results of 30-CST and the role-physical, bodily pain and vitality in the SF-36 scale were related to the patient's expectation score (P < 0.05).

CONCLUSION

The estimated expectation score of patients before TKA is not high. Patients with more severe preoperative pain, worse physical function, and lower overall health are more eager to improve after surgery. Thus surgeons must communicate fully with patients with unrealistic expectations before surgery in order to obtain more satisfactory results postoperatively.