Preoperative Factors Associated with 2-Year Postoperative Survey Completion in Knee Surgery Patients

Ten-year results from the UK National Ligament Registry: Patient characteristics and factors predicting nonresponders for completion of outcome scores

PURPOSE

The aim of this study was to report the demographic and mechanism of injury data in the UK National Ligament Registry (NLR) at 10 years and determine factors leading to poor compliance with completion of Patient-Reported Outcome Scores (PROMs).

METHODS

A retrospective review was performed for prospectively collected data on the NLR between January 2013 and December 2022. All patients who underwent primary anterior cruciate ligament reconstruction (ACLR) were included. Patient demographics, mechanism of injury and patient compliance with completing PROMs were analysed. Patient characteristics were further analysed in relation to compliance with completing the different PROMs at the predefined time points. Patients were identified as nonresponders if they had not completed either 1- or 2-year postoperative Knee injury and Osteoarthritis Outcome Score (KOOS).

RESULTS

A total of 17,492 patients were included in this study. The average age for patients undergoing ACLR between 2013 and 2022 was 29.4 (SD, 10.3). Seventy percent were men and 30% women. Football was the most common activity associated with an ACL injury. Patient compliance with recording PROMs was 55% preoperatively and 37%, 32% and 24% at 1-, 2- and 5-year postoperative follow-up, respectively. Nonresponders represented 54% of eligible patients. Multivariate analyses showed that sex, age, smoking, time interval between injury and surgery and low socioeconomic status were associated with low compliance with postoperative PROM completion (p < 0.001).

CONCLUSION

This study reports the demographic characteristics for patients on the NLR since 2013. Male sex, young age, increased waiting time between injury and surgery, smoking and lower socioeconomic class were predictors of low compliance with completion of postoperative PROMs on the UK NLR. Understanding the factors that affect patient compliance with PROMs improves our ability to provide targeted interventions and information to specific patient populations with the aim of enhancing inclusiveness and representation of population in the registry.

LEVEL OF EVIDENCE

Level III.

Are Social Deprivation and Low Traditional Health Literacy Associated With Higher PROMIS CAT Completion in Orthopaedic Surgery?

BACKGROUND

The Patient-Reported Outcomes Measurement Information System® (PROMIS®) may be used to assess an individual patient's perspective of their physical, mental, and social health through either standard or computer adaptive testing (CAT) patient questionnaires. These questionnaires are used across disciplines; however, they have seen considerable application in orthopaedic surgery. Patient characteristics associated with PROMIS CAT completion have not been examined within the context of social determinants of health, such as social deprivation or health literacy, nor has patient understanding of the content of PROMIS CAT been assessed.

QUESTIONS/PURPOSES

(1) What patient demographics, including social deprivation, are associated with completion of PROMIS CAT questionnaires? (2) Is health literacy level associated with completion of PROMIS CAT questionnaires? (3) Do patients with lower health literacy have a higher odds of completing PROMIS CAT without fully understanding the content?

METHODS

Between June 2022 and August 2022, a cross-sectional study was performed via a paper survey administered to patients at a single, urban, quaternary academic medical center in orthopaedic subspecialty clinics of foot and ankle, trauma, and hand/upper extremity surgeons. We considered all English-speaking patients aged 18 or older, including those with limited reading and/or writing abilities, as eligible provided they received an iPad in clinic to complete the PROMIS CAT questionnaire as part of their routine standard clinical care or they completed the questionnaire via a patient portal before the visit. In all, 946 patients were considered eligible during the study period and a convenience sample of 36% (339 of 946) of patients was approached for inclusion due to clinic time constraints. Fifteen percent (52 of 339) declined to participate, leaving 85% (287 of 339) of patients for analysis here. Median (range) age of study participants was 49 years (35 to 64). Fifty-eight percent (167 of 287) of study participants self-identified as non-Hispanic Black or African American and 26% (75 of 287) as non-Hispanic White. Even proportions were observed across education levels (high school graduate or less, 29% [82 of 287]; some college, 25% [73 of 287]; college graduate, 25% [71 of 287]; advanced degree, 20% [58 of 287]). Eighteen percent (52 of 287) of patients reported an annual income bracket of USD 0 to 13,000, and 17% (48 of 287) reported more than USD 120,000. Forty-six percent (132 of 287) of patients worked full-time, 21% (59 of 287) were retired, and 23% (66 of 287) were unemployed or on disability. The primary outcome of interest was self-reported PROMIS CAT questionnaire completion grouped as: fully completed, partially completed, or no part completed. Overall, self-reported PROMIS CAT questionnaire completion proportions were: 80% (229 of 287) full completion, 13% (37 of 287) partial completion, and 7% (21 of 287) no part completed. We collected the National Area Deprivation Index (ADI) score and the Brief Health Literacy Screening Tool (BRIEF) as part of the study survey to associate with level of completion. Additionally, patient understanding of PROMIS CAT was assessed through Likert-scaled responses to a study survey question that directly asked whether the patient understood all of the questions on the PROMIS CAT questionnaire. Responses to this question may have been limited by social desirability bias, and hence may overestimate how many individuals genuinely understood the questionnaire content. However, the benefit of this approach was it efficiently allowed us to estimate the ceiling effect of patient comprehension of PROMIS CAT and likely had a high degree of specificity for detecting lack of comprehension.

RESULTS

ADI score adjusted for age was not associated with PROMIS CAT completion (partial completion OR 1.00 [95% CI 0.98 to 1.01]; p = 0.72, no part completed OR 1.01 [95% CI 0.99 to 1.03]; p = 0.45). Patients with lower health literacy scores, however, were more likely to not complete any part of their assigned questionnaires than patients with higher scores (no part completed OR 0.85 [95% CI 0.75 to 0.97]; p = 0.02). Additionally, 74% (26 of 35) of patients who did not fully understand all of the PROMIS CAT questionnaire questions still fully completed them-hence, 11% (26 of 229) of all patients who fully completed PROMIS CAT did not fully understand the content. Among patients self-reporting full completion of PROMIS CAT with health literacy data (99% [227 of 229]), patients with inadequate/marginal health literacy were more likely than patients with adequate health literacy to not fully understand all of the questions (21% [14 of 67] versus 8% [12 of 160], OR 3.26 [95% CI 1.42 to 7.49]; p = 0.005).

CONCLUSION

Within an urban, socioeconomically diverse, orthopaedic patient population, health literacy was associated with PROMIS CAT questionnaire completion. Lower health literacy levels increased the likelihood of not completing any part of the assigned PROMIS CAT questionnaires. Additionally, patients completed PROMIS CAT without fully understanding the questions. This indicates that patient completion does not guarantee comprehension of the questions nor validity of their scores, even more so among patients with low health literacy. This is a substantive concern for fidelity of data gathered from PROMIS CAT.

CLINICAL RELEVANCE

Clinical implementation of the PROMIS CAT in orthopaedic populations will benefit from further research into health literacy to increase questionnaire completion and to ensure that patients understand the content of the questions they are answering, which will increase the internal validity of the outcome measure.

Predictors of Postoperative Patient-Reported Outcome Measure Response Rates Among Patients With Rotator Cuff Repair

BACKGROUND

Patient-reported outcome measures (PROMs) contribute to evaluating and improving the quality of patient care. Patient outcomes after rotator cuff repair (RCR) have been researched; however, the relationship between PROM response rates and individual and health care correlates has not been thoroughly investigated.

PURPOSE

To examine differences in individual and health care factors among patients who had undergone RCR based on their PROM response rates.

STUDY DESIGN

Case-control study; Level of evidence, 3.

METHODS

Shoulder-specific and general PROMs were solicited via email and text message of all patients who underwent RCR between 2016 and 2020. Three subgroups were classified: (1) complete responders completed all 1-year postoperative PROMs, (2) partial responders answered enough questions to produce ≥1 usable score, and (3) nonresponders did not respond to a single measure. Correlates were assessed using analysis of variance and chi-square tests. Adjusted multinomial logistic regression models identified predictors of 1-year PROM response.

RESULTS

Of 2195 patients included at the 1-year follow-up, 34% were complete responders; 11%, partial responders; and 55%, nonresponders. Patients had a mean age of 61.8 years, 63% were men, and 90% were White. Pre- and postoperative PROM scores were similar across responder groups. In stepwise selection, 1-year responses (complete or partial) were associated with older age, later year of surgery, White race, and having workers' compensation insurance. The strongest predictor of PROM response was having workers' compensation insurance.

CONCLUSION

Patients with workers' compensation insurance compared with other insurance types responded to PROMs at disproportionately higher rates. This could distort postoperative PROM scores in the population studied because there are known differences among patients with this insurance status.

Predictors of two-year patient satisfaction following elective knee surgery

BACKGROUND

Patient satisfaction metrics are increasingly being utilized as tools to evaluate the quality of healthcare and affect reimbursements. The objectives of this study were to (1) identify factors associated with two-year patient satisfaction after elective knee surgery, (2) compare the Surgical Satisfaction Questionnaire-8 (SSQ-8) and a numeric satisfaction scale (NSS), and (3) determine if two-year patient satisfaction can be predicted based on preoperative factors.

METHODS

A total of 365 patients undergoing elective knee surgery at a single center were administered questionnaires to assess demographics, medical history, and various patient-reported outcomes preoperatively and at two years postoperatively. Patient satisfaction was measured at two years postoperatively with SSQ-8 and NSS. Bivariate and multivariate statistical analyses were performed to identify significant associations and independent predictors of satisfaction.

RESULTS

SSQ-8 and NSS scores were significantly correlated (r_s = 0.68, P < 0.0001). Lower SSQ-8 and NSS scores were associated with black race, higher BMI, more comorbidities, unemployment, smoking, higher ASA score, and greater Met Expectations (P < 0.05). Better scores on patient-based outcome measures and better improvement from baseline were significantly correlated with higher satisfaction on both SSQ-8 and NSS. Multivariable analysis identified greater Met Expectations and higher two-year Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference scores as independent predictors of greater SSQ-8 scores (adjusted r² = .52). Greater Met Expectations and better two-year PROMIS Social Satisfaction scores were independent predictors of NSS score (adjusted r² = .41). In contrast, when only preoperative variables were considered, the multivariable regression model accounted for only 14% of the variance in SSQ-8 and 6% of the variance in NSS.

CONCLUSION

While there are multiple preoperative factors that are associated with two-year patient satisfaction after knee surgery, those factors contribute relatively little to satisfaction. Meeting expectations and better patient-based outcomes at two years are more important.