Factors associated with early postoperative survey completion in orthopaedic surgery patients

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.

Young or Old Age and Non-White Race Are Associated With Poor Patient-Reported Outcome Measure Response Compliance After Orthopaedic Surgery

Purpose

To investigate orthopaedic patient compliance with patient-reported outcome measures (PROMs) and identify factors that improve response rates.

Methods

Our search strategy comprised a combination of key words and database-specific subject headings for the concepts of orthopaedic surgical procedures, compliance, and PROMs from several research databases from inception to October 11, 2022. Duplicates were removed. A total of 97 studies were included. A table was created for the remaining articles to be appraised and analyzed. The collected data included study characteristics, follow-up/compliance rate, factors that increase/decrease compliance, and type of PROM. Follow-up/compliance rate was determined to be any reported response rate. The range and average used for analysis was based on the highest or lowest number reported in the specific article.

Results

The range of compliance reported was 11.3% to 100%. The overall response rate was 68.6%. The average baseline (preoperative/previsit) response rate was 76.6%. Most studies (77%) had greater than 50% compliance. Intervention/reminder of any type (most commonly phone call or mail) resulted in improved compliance from 44.6% to 70.6%. Young and elderly non-White male patients had the lowest compliance rate. When directly compared, phone call (71.5%) resulted in a greater compliance rate than electronic-based (53.2%) or paper-based (57.6%) surveys.

Conclusions

The response rates for PROMs vary across the orthopaedic literature. Patient-specific factors, such as age (young or old) and race (non-White), may contribute to poor PROM response rate. Reminders and interventions significantly improve PROM response rates.

Clinical Relevance

PROMs are important tools in many aspects of medicine. The data generated from these tools not only provide information about individual patient outcomes but also make hypothesis-driven comparisons possible. Understanding the factors that affect patient compliance with PROMs is vital to our accurate understanding of patient outcomes and the overall advancement of medical care.

Evaluating the Use of PROMs in Paediatric Orthopaedic Registries

Patient-reported outcome measures (PROMs) provide structured information on the patient's health experience and facilitate shared clinical decision-making. Registries that collect PROMs generate essential information about the clinical course and efficacy of interventions. Whilst PROMs are increasingly being used in adult orthopaedic registries, their use in paediatric orthopaedic registries is not well known. The purpose of this systematic review was to identify the frequency and scope of registries that collect PROMs in paediatric orthopaedic patient groups. In July 2023, six databases were systematically searched to identify studies that collected PROMs using a registry amongst patients aged under 18 years with orthopaedic diagnoses. Of 3190 identified articles, 128 unique registries were identified. Three were exclusively paediatric, 27 were majority paediatric, and the remainder included a minority of paediatric patients. One hundred and twenty-eight registries collected 72 different PROMs, and 58% of these PROMs were not validated for a paediatric population. The largest group of orthopaedic registries collected PROMs on knee ligament injuries (21%). There are few reported dedicated orthopaedic registries collecting PROMs in paediatric populations. The majority of PROMs collected amongst paediatric populations by orthopaedic registries are not validated for patients under the age of 18 years. The use of non-validated PROMs by registries greatly impedes their utility and impact. Dedicated orthopaedic registries collecting paediatric-validated PROMs are needed to increase health knowledge, improve decision-making between patients and healthcare providers, and optimise orthopaedic management.

Preoperative Expectations in Hand Surgery Patients

Introduction  Studies have shown a link between patients' preoperative expectations and their postoperative satisfaction. However, limited studies exist concerning patient factors associated with higher preoperative expectations in the hand surgery population. This study analyzed preoperative expectation scores of patients undergoing hand surgery and aimed to determine associated patient characteristics. Materials and Methods  A total of 418 elective hand surgery patients aged 15 years and older enrolled in a prospectively collected orthopaedic registry from June 2015 to December 2018 were analyzed. Patients were administered preoperative questionnaires including six Patient-Reported Outcome Measurement Information System domains and other activity and pain scales. Expectation scores were measured using the six domains of the Musculoskeletal Outcomes Data Evaluation and Management System expectations questionnaire. Bivariate and multivariable analyses were conducted to identify independent predictors of higher expectations. Results  Overall, patients had high expectations (≥ 80.0) of their hand surgery. Higher mean expectation scores were seen with females, college graduates, better baseline health status, and fewer prior hand surgeries ( p  < 0.05 for all). No significant associations were found among the Common Procedural Terminology codes and expectations. Multivariable analysis confirmed that college degree ( p  = 0.023) and less pain ( p  = 0.008) were predictive of higher baseline expectations. Conclusion  In sum, more educated patients with less pain at baseline and better baseline health status have higher expectations of their hand surgery. Hand surgeons can use these results to help focus their preoperative counseling and expectation management.

Prior Meniscectomy in Patients Undergoing Primary Total Knee Arthroplasty is Associated With Worse Short-Term Outcomes

BACKGROUND

Patients undergoing total knee arthroplasty (TKA) who have prior meniscectomy may have increased rates of postoperative infection, arthrofibrosis, and revision. However, aside from an increased risk of complications, it is unclear whether prior meniscectomy impacts functional outcomes after TKA. This study was conducted to compare functional outcomes following TKA in patients who did and did not have a prior meniscectomy. We hypothesized that patients who had a prior ipsilateral meniscectomy would have worse functional outcomes after undergoing TKA.

METHODS

A retrospective matched case-control study was conducted at a tertiary academic center. Patients who underwent both meniscectomy and TKA (cases) or TKA alone (controls) from 2013 to 2020 were identified from our institutional database using current procedural terminology codes. Cases were matched in a 1:3 ratio to controls using age, sex, race, body mass index, and a comorbidity index. Inclusion criteria comprised a minimum of 1-year follow-up for the Knee Injury and Osteoarthritis Outcome Score Junior (KOOS-JR). Exclusion criteria included patients undergoing revision TKA and patients who had a history of ligamentous knee surgery or fracture. T- and Chi-squared analyses were conducted, with significance threshold being P < .05. A total of 589 cases and 1,767 controls were included after matching. There were no significant differences in demographic variables. Cases underwent TKA after their meniscectomy at a mean of 2.9 years (range: 42 days to 16 years).

RESULTS

While no significant difference existed for preoperative KOOS-JR scores (46.4 versus 46.4; P = .984), postoperative KOOS-JR scores were significantly lower in the case group (71.9 versus 75.3; P = .001). The case group also achieved the KOOS-JR minimal clinically important difference (MCID) and patient acceptable symptom state (PASS) at significantly lower rates than the control group [(MCID: 71.0 versus 77.3%; P = .011) (PASS: 69.4 versus 76.7%; P = .001);].

CONCLUSION

Patients who had a prior meniscectomy may experience lower postoperative functional outcome scores after TKA and had a lower rate of achieving the MCID and PASS for KOOS-JR. Patient expectations should be adjusted accordingly.

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

Patient-reported outcomes, such as the Patient-Reported Outcomes Measurement Information System (PROMIS) measures, have become increasingly valued as measures of treatment. The purpose of the study was to determine preoperative factors associated with survey compliance 2 years after elective knee surgery. Five hundred patients, age 17 years and older, undergoing knee surgery from August 2015 and March 2017 were administered questionnaires preoperatively and 2 years postoperatively. Questionnaires included the International Knee Documentation Committee (IKDC) score, Numeric Pain Scales (NPS), International Physical Activity Questionnaire (IPAQ), and six PROMIS Domains for physical function, pain interference, social satisfaction, fatigue, anxiety, and depression. Three hundred sixty-five patients (73.0%) completed both the preoperative and the 2-year surveys. A decreased likelihood of survey completion was significantly associated with black race, lower income, government-sponsored insurance, smoking, opioid use, fewer previous surgeries, lower expectations, lower PROMIS social satisfaction, higher PROMIS pain interference, and lower IPAQ physical activity. Multivariable logistic regression analysis confirmed that black race and lower IPAQ activity level were independent predictors of lower survey completion at 2-year follow-up with an area under the curve (AUC) of 0.62. A more robust multivariable model that included all variables with p < 0.05 in the bivariate analysis had an AUC of only 0.70. This study identified multiple preoperative factors that were associated with lower survey completion 2 years after elective orthopaedic knee surgery; however, all the factors measured in this study were not strong predictors of survey completion.

Correlation of Press Ganey Scores With Early Patient Satisfaction After Anterior Cruciate Ligament Reconstruction

Background:

Patient satisfaction metrics are commonly used to assess the quality of health care and affect reimbursement. The Press Ganey Ambulatory Surgery (PGAS) is a satisfaction survey that has emerged as a prominent quality assessment tool; however, no data exist on whether PGAS scores correlate with early postsurgical satisfaction during the PGAS survey administration period in patients who underwent anterior cruciate ligament reconstruction (ACLR).

Purpose:

To determine if PGAS scores correlate with measures of satisfaction and patient-reported outcomes (PROs) at 2 weeks postoperatively in ACLR patients.

Study Design:

Cohort study (diagnosis); Level of evidence, 3.

Methods:

A retrospective review of patients who underwent ACLR at a single institution was performed. Patients who completed the PGAS survey and PROs at 2 weeks postoperatively were included in the study. Surgical satisfaction was measured with the Surgical Satisfaction Questionnaire (SSQ-8), and PROs included 6 Patient-Reported Outcomes Measurement Information System domains. Bivariate analysis between PGAS and PRO scores was conducted using the Spearman rank correlation coefficient (r_S).

Results:

Of the 716 patients who received the PGAS survey after ACLR, 81 patients completed the survey, and 39 patients also completed PROs and were included in the study. Total converted (mean scaled score) and “top box” (percentages of questions with highest rating selected) PGAS scores showed no significant correlations with the SSQ-8 (r_S =–0.24; P = .14). There were no significant correlations between SSQ-8 and PGAS domain scores except for a negative correlation with Facility domain top box scores (r_S =–0.33; P = .04), meaning that patients with higher surgical satisfaction had lower PGAS Facility scores. Total PGAS (converted and top box scores) and PGAS domain scores showed no significant correlation with any of the other PROs.

Conclusion:

PGAS scores showed no significant positive correlation with surgical satisfaction, function, pain, mental health, activity, or expectations of surgery in patients 2 weeks after ACLR. This suggests little to no relationship between PGAS score and surgical satisfaction in the early recovery period after ACLR.

Predictors of early postoperative pain interference following orthopaedic surgery

Introduction

Despite the increasing incidence of orthopaedic surgeries, there is a lack of data reporting on patient experience and recovery following surgery. As such, there is a need to better characterize the natural history of pain interference (PI) after orthopaedic surgery to better manage patients' expectations and recovery.

Purpose

To identify factors associated with greater pain interference two weeks following orthopaedic surgery.

Methods

All patients undergoing elective outpatient orthopaedic surgery at a single urban academic institution were evaluated preoperatively from August 2016 to March 2018. Patients completed a baseline assessment consisting of demographic information, PROMIS computer adaptive testing in 6 domains including Pain Interference (PI), Physical Function, Social Satisfaction, Fatigue, Anxiety, and Depression. Two weeks following surgery, patients completed the same questionnaires along with assessments of Improvement and Satisfaction. Bivariate and multivariable regression analyses were performed. Categorical data was compared with ANOVA and continuous data was compared with Spearman's correlation coefficient (r_s).

Results

435 patients (age = 41.1 ± 15.7, 47% female) were studied. Mean PI was 60.1 ± 7.0 prior to surgery and 61.7 ± 7.6 at 2 weeks postoperative. Worse 2 week PROMIS PI was associated with lower extremity surgery, prior surgery on the joint, preoperative opioid use, depression, lower income, lower education, and higher ASA score (p < 0.05). Better 2 week PROMIS PI was correlated with better baseline and better 2 week scores on all outcome measures. Multivariable analysis demonstrated that lower extremity surgery, worse preoperative pain scores, and worse preoperative pain interference were independent predictors of worse pain interference after surgery.

Conclusion

Early postoperative pain interference is associated with function, demographic, and psychosocial factors.

PROMIS physical function two weeks following orthopaedic surgery

Many patients opt for elective orthopaedic procedures to regain physical function. However, little data exist about patient-reported early postoperative function.

PURPOSE

To characterize physical function two weeks postoperative from upper and lower extremity orthopaedic surgery and to determine pre-operative factors that are associated with physical function two weeks following surgery.

METHODS

Patients 17 years and older undergoing elective orthopaedic surgery at one institution were enrolled prospectively and completed questionnaires prior to surgery and again two weeks postoperatively. The questionnaires included: six of the PROMIS computer adaptive questionnaires: Physical Function (PF), Pain Interference, Fatigue, Social Satisfaction, Anxiety, and Depression; a joint-specific function questionnaire, a joint numeric pain scale, and a body numeric pain scale. Physical activity levels were measured using Tegner, IPAQ, and Marx. Responses were analyzed using Spearman's correlation coefficient, ANOVA, and multivariate linear stepwise regression with two-week PF as the dependent variable.

RESULTS

435 patients (47% female) with mean age 41.1 ± 15.7 were included in our final analysis. Mean baseline PF score was 42.1 and mean two-week PF score was 35.5 (p < .0001). Patients undergoing upper extremity surgery had higher PF at two weeks than those undergoing lower extremity surgery (39.1 vs 32.2, p < .0001). Younger age, Hispanic ethnicity, preoperative narcotic use, injury prior to surgery, and procedure all had a significant relationship with lower 2-week postoperative PF score (p < 0.05). Numerous baseline and 2-week measures were correlated with postoperative PF score, with 2-week Social Satisfaction demonstrating the strongest correlation (r_s = 0.604, p < .0001). Multivariable regression confirmed that the better preoperative PF score and upper extremity surgery were independent preoperative predictors of better 2-week PF scores.

CONCLUSIONS

Patients have a significant decline in physical function following orthopaedic surgery, with those undergoing lower extremity surgery having a significantly greater decline. Many factors are associated with activity levels, including mental health, pain, and satisfaction. This information can be used to help manage patients' short-term expectations.

Preoperative expectations and early postoperative met expectations of extremity orthopaedic surgery

BACKGROUND

Preoperative patient expectations and met expectations are likely associated with the outcome of treatment. However, there is a lack of data regarding the preoperative expectations and early postoperative met expectations of patients undergoing extremity orthopaedic surgery. The purpose of this study was to identify the predictors of early postoperative met expectations in a cohort of patients undergoing extremity orthopaedic surgery and to assess the relationship between patient expectations and patient-reported outcome (PRO) measures. We hypothesized that patients with higher preoperative expectation scores and higher postoperative met expectation scores would have better early postoperative outcomes.

METHODS

Four hundred thirty-five patients age seventeen and older who underwent extremity orthopaedic surgery at one institution were prospectively enrolled in this study. Each patient completed a preoperative questionnaire that included an assessment of demographics, pain, function, general health, treatment expectations, activity level, and Patient-Reported Outcome Measurement Information System (PROMIS) computer adaptive testing. Expectations were evaluated using the Expectations Domain of the Musculoskeletal Outcomes Data Evaluation and Management System (MODEMS) questionnaire. Patients completed a follow-up questionnaire two weeks after surgery that also assessed MODEMS met expectations and satisfaction (Surgical Satisfaction Questionnaire (SSQ-8)).

RESULTS

The mean preoperative expectation score was 86.95 ± 16.59, and the mean postoperative met expectation score was 55.02 ± 27.63 (0-100 scale with 100 representing the highest level of expectations). Greater met expectations were significantly associated with white race (p = 0.025), college degree (p = 0.011), and higher income (p = 0.002). Greater met expectations were also significantly associated with greater postoperative physical function, social satisfaction, activity level, and subjective improvement, as well as lower pain interference, joint pain, body pain, fatigue, anxiety, and depression (p < 0.01 for each). Multivariable analysis results found that less postoperative joint pain and greater postoperative social satisfaction, improvement, and physical function were all significant independent predictors of greater met expectations at two weeks postoperative (p < 0.01 for each).

CONCLUSION

Greater preoperative expectations are associated with better activity and less pain two weeks after surgery. Met expectations of extremity orthopaedic surgery were associated with postoperative physical function, social satisfaction, activity, pain, anxiety, depression, and subjective improvement. These results may have implications for preoperative counseling and risk factor modification.

Early patient satisfaction following orthopaedic surgery

BACKGROUND

The healthcare industry is shifting its focus from traditional clinical outcome measures to patient satisfaction metrics. This change has caused orthopaedic surgeons to become increasingly interested in factors influencing patient satisfaction, which would allow them to potentially modify these factors in an effort to increase postoperative satisfaction. The objective of this study was to identify factors associated with patient satisfaction two weeks following extremity orthopaedic surgery.

METHODS

Patients completed questionnaires preoperatively to assess demographics, activity, pain, expectations, and Patient-Reported Outcomes Measurement Information System (PROMIS) computer adaptive testing for Physical Function, Pain Interference, Social Satisfaction, Depression, Anxiety, and Fatigue. Two weeks after their operation, patients completed the same questionnaires in addition to an Improvement Survey and Met Expectations. Satisfaction was assessed with the Surgical Satisfaction Questionnaire.

RESULTS

Greater surgical satisfaction two weeks following orthopaedic surgery was associated with higher education, alcohol use, better scores on all PROMIS domains at baseline and two weeks, greater activity levels at baseline and two weeks, less bodily pain at baseline and two weeks, less pain in the surgical site at two weeks, greater met expectations, and greater improvement (p < 0.05).

CONCLUSION

This study provides important information about patient satisfaction two weeks after orthopaedic surgery.