Predictors Of Patient Satisfaction Research Articles

Patient Satisfaction After Lower Extremity Total Joint Arthroplasty: An Analysis of Medical Comorbidities and Patient Demographics

The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey has received increased attention to determine which demographics may influence patient satisfaction after Total Hip and Knee Arthroplasty. The purpose of this study was to evaluate the various effects that patient-specific factors, medical comorbidities, and demographics had on patient satisfaction. Two thousand and ninety-two patients underwent lower extremity total joint arthroplasty at our institution between 2014 and 2018. Nine hundred twenty-three of these patients responded to their HCAHPS survey (44%). Most patients (609, 66%) underwent primary total knee arthroplasty followed by 244 (26.4%) total hip arthroplasties, 35 (3.8%) revision total knee arthroplasties, 28 (3.0%) bilateral total knee arthroplasties, and 7 (0.8%) revision total hip arthroplasties. Increasing age and length of stay were associated with a decrease in patient satisfaction whereas patients who were married reported higher satisfaction. Patients discharged to a rehabilitation facility had a 12% decrease in top-box response rate compared to those discharged home. Contrary to our hypothesis, specific procedure type and the presence of comorbidities failed to predict patient satisfaction. The results of this study shed light on the intricate relationship between patient satisfaction and patient-specific factors. Furthermore, health care workers can counsel patients on expected satisfaction when considering total hip and knee arthroplasty.

Migrants’ perceptions of health system responsiveness and satisfaction with health workers in a South African Province

ABSTRACT Background: There is global emphasis on quality universal health coverage (UHC) that is responsive to the needs of vulnerable communities, such as migrants. Objective: Examine the perceptions of migrants on health system responsiveness (HSR) and their satisfaction with health workers in public health facilities of a South African Province. Method: We conducted a cross-sectional study in 13 public health facilities. Following informed consent, we used a semi-structured questionnaire to collect sociodemographic information, patient perceptions of HSR and their satisfaction with health workers. Two open-ended questions gave patients the opportunity to comment on the health facility visit. We applied descriptive and multivariate analyses to our data, and thematic analysis to the qualitative responses. Results: A total of 251 migrant patients participated in the study, giving a response rate of 80.7%. The majority of patients were female (81.1%), and the mean age was 31.4 years. 30.0% of patients reported that they waited too long; 94.3% that the consulting nurse or doctor listened to them; and 89.4% that they received information about their condition. However, 81.7% said they did not know the name of the consulting nurse or doctor. The mean scores on patients’ satisfaction with health workers ranged from 7.0 (95% CI 6.42–7.63) for clerks, 7.7 (95% CI 7.4–8.0) for security guards, 7.4 (95% CI 7.1–7.6) for nurses and 8.3 (95% CI 7.93–8.63) for doctors. The predictors of patient satisfaction with nurses were being given information about their condition; polite treatment, time spent in facility, whether they received prescribed medicines; and stating that they would refer the health facility to family/friends. Four overlapping themes emerged: health workers’ attitudes; time waited at the health facility, communication difficulties; and sub-optimal procedures in the health facility. Conclusion: UHC policies should incorporate migrant patients’ perceptions of HSR and the determinants of their satisfaction with health workers.

External Validation of Achieving the Patient Acceptable Symptom State for the EuroQol-5 Dimension 1 Year After Total Hip Arthroplasty.

Patient acceptable symptom state (PASS) thresholds for the EuroQol-5 Dimension-3 Level (EQ-5D-3L) questionnaire have been established for patients being evaluated 1 year following total hip arthroplasty (THA) but with varying derivation cohorts and methods. The aim of this study was to (1) generate an EQ-5D PASS threshold 1 year following THA on the basis of an international patient cohort, (2) validate preexisting and newly generated PASS thresholds 1 year following THA using the institutional registry of an academic care center, and (3) assess whether THA PASS thresholds vary by patient age and sex. The derivation cohort for the THA PASS threshold consisted of 774 patients (after exclusions) who were enrolled in an international, multicenter study from 2007 to 2012 and who completed the EQ-5D and a numerical rating scale (NRS) for satisfaction 1 year postoperatively. With the NRS dichotomized at 2.5 as the anchor, a PASS cutoff for the EQ-5D was generated using the 80% specificity method. The Youden method and 75th percentile approach served as sensitivity analyses. The external validation cohort comprised 1,472 patients who had undergone THA. PASS thresholds were used to dichotomize the external validation sample. The ability of the threshold to predict satisfaction was evaluated with receiver operating characteristic (ROC) curve analysis. Patient subcohorts were stratified by age (>65 and ≤65 years) and sex. Three THA PASS thresholds of 0.77 (our newly defined threshold), 0.82, and 0.92 were validated in this study. The EQ-5D PASS threshold of 0.77 (area under the curve [AUC] = 0.816) best predicted satisfaction 1 year after THA. Subcohort analyses yielded comparable 1-year PASS thresholds for THA between age cohorts and between sex cohorts. This study identifies PASS thresholds that best predict patient satisfaction 1 year following THA. Although the varied methodology and patient cohorts used to derive PASS values complicate the comparison of these thresholds, this analysis can help surgeons understand the level of health-related quality of life associated with patient satisfaction following THA. Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Early post-operative oxford knee score and knee society score predict patient satisfaction 2 years after total knee arthroplasty.

There is poor correlation between functional outcomes and patient satisfaction following total knee arthroplasty (TKA). We asked if early post-operative scores at 6months or the pre- to post-operative change in scores are predictive of patient satisfaction 2years after TKA. We conducted a retrospective review of prospectively collected registry data of 4359 TKAs performed at a single institution. At 6months and 2years, the Knee Society Score (KSS), Oxford Knee Score (OKS), and Short-Form 36 scores were assessed. A satisfaction questionnaire was alsocompleted. Logistic regression was used to generate receiver-operating characteristic (ROC) curves to assess the ability of each scoring system in predicting satisfaction at 2years. At 2years, 91.1% of patients were satisfied. For the absolute post-operative OKS at 6months, an AUC of 0.762 (95% CI 0.736-0.788) and a threshold of ≤ 21.5 points (or ≥38.5 points on the new scale)were obtained. For the KSS knee score, an AUC of 0.704 (95% CI 0.674-0.734) and a threshold of ≥ 80.5 points were identified. The OKS performed significantly better than the KSS knee score (p = 0.03) and the other post-operative scores (p < 0.001). When analysing the change in scores pre-operatively to 6months, the AUC was < 0.7 for all scales. Early post-operative scores, specifically the OKS and KSS knee score, can predict patient satisfaction at 2years after TKA with good accuracy. The threshold values offer surgeons an additional tool to identify patients at risk of dissatisfaction at 2years, enabling them to intervene earlier to ensure good patient satisfaction. III, retrospective cohort study.

Predictors of patient satisfaction and outcomes following reverse total shoulder arthroplasty

BackgroundObjective clinical outcomes and patient satisfaction via patient reported outcome measures (PROMs) can vary following reverse total shoulder arthroplasty (rTSA). The purpose of this study was to analyze patient specific preoperative factors that may predict postoperative PROMs and satisfaction following rTSA. MethodProspective data was collected on 144 consecutive patients who underwent primary rTSA at our institution between 2012 and 2018, all with minimum 2 year follow-up. Age, gender, race, BMI, previous surgery on the index shoulder, and comorbidity burden were analyzed as potential predictors. Shoulder specific clinical measures were collected both pre- and postoperatively via range of motion testing with active abduction, internal, and external rotation. PROMs included global shoulder function, Simple Shoulder Test (SST) and the American Shoulder and Elbow Surgeons (ASES) scoring systems, and cumulative patient satisfaction. Statistical analysis included comparison of pre- and postoperative outcome measures across the cohort as a whole and between each of the potential predictors in question. The relationship between predictors and postoperative cumulative satisfaction was investigated, with specific attention to identify the strongest predictors and account for confounding variables. Statistical significance was determined at P < .05. ResultsAll range of motion scores and PROMs were significantly improved from preoperative to postoperative assessment. Patient satisfaction was excellent with 92% rating their shoulder as “much better” or “better.” Women and minority patients displayed significantly worse preoperative active abduction, SST, and ASES, but were found to have no significant difference in these measures postoperatively. Younger age was associated with a significantly worse postoperative ASES score. Female sex was associated with significantly higher postoperative satisfaction, while minority status was associated with significantly lower cumulative satisfaction. Postoperative global shoulder function, SST, and ASES were not significantly influenced by sex, race, previous surgery, BMI, or comorbidity burden. Postoperative ASES and global shoulder function demonstrated to be independent predictors of “much better” satisfaction rating. ConclusionPostoperative PROMs and cumulative satisfaction are not influenced by BMI, previous surgery, or comorbidity burden in our cohort. Relative to their respective counterparts, older patients, females, and white patients are more likely to demonstrate higher satisfaction with their outcome following rTSA as measured by PROMs or cumulative satisfaction. Improvements in the ASES and global shoulder function scores most consistently predict higher postoperative satisfaction. Level of evidenceLevel IV; Case Series; Treatment Study

"If at Least the Patient Could Not Be Forgotten About": Communication in the Emergency Department as a Predictor of Patient Satisfaction.

Press Ganey survey data are used by institutions to understand patient experiences in the emergency department (ED). The present mixed-methods retrospective cohort study examined the effects of hallway placement, pain management reporting, communication approaches, time spent in the ED, and other demographic variables on predicting satisfaction ratings of doctors, nurses, and overall ED care. A total of 4940 patient responses between January 1, 2012, and December 31, 2017, were analyzed from 2 EDs associated with an academic institution and tertiary care center. Consensus coding was used to qualitatively capture patient responses that relate to communication issues pertaining to care/empathy and understandings of ED procedures. After controlling for multiple factors, hallway placement, pain management, and understanding of ED procedures were associated with higher odds of negative ratings for doctors, nurses, and overall assessment. Issues with patient communication, particularly regarding understanding of ED procedures, were found to be a strong predictor of negative ratings of doctors, nurses, and overall care. These findings point to the improvements in communication as a potential point of intervention in mitigating negative patient experiences.

Применение искусственного интеллекта для прогноза удовлетворенности больных медицинской помощью в условиях специализированной клиники восстановительного лечения

Introduction. Patient satisfaction with treatment is a rather urgent medical and social problem, the solution of which is important in improving the health of the nation. The results of training neural networks of various types for predicting patient satisfaction with treatment in a specialized rehabilitation clinic are presented. The objective. To assess the possibilities of using different types of neural networks in predicting the level of patient satisfaction based on basic information. Materials and methods. When training neural networks, basic information about patients was used: gender, age, marital status, living conditions, education, Smoking, disability and group, the age of the disease and the age of disability if it exists. The study involved 98 patients. Data on 78 of them were used to train the neural network, and 20 patients made up a group testing the accuracy of predictions. Results. The most accurate prediction was achieved with 12-hour training of a Bayesian neural network, which gives a forecast with an accuracy of 87%, with a standard error (0.74). Conclusion. Based on the data obtained, it is concluded that it is appropriate to predict the level of patient satisfaction with medical care before it is provided based on basic information about the patient.

Assessing the Validity of a New Prediction Model for Patient Satisfaction After Total Knee Arthroplasty: A Retrospective Cross-Sectional Study.

PurposePreviously, a simplified model using statistically selected questionnaires from various patients reported outcome measures (PROMs) was proposed to predict patient satisfaction after total knee arthroplasty (TKA). However, this simple and useful model needs to be validated across ethnic and cultural differences. The objective of this study was to evaluate the utility of this predictive model in Japanese patients.Patients and MethodsOf all knees treated using primary TKA at our institution between August 2017 and June 2018, this study involved 50 knees of 48 patients (11 men, 37 women) to whom the predictive model was applied preoperatively and from whom PROMs were obtained at least 1 year postoperatively. To evaluate PROMs, patients completed the KSS and the Forgotten Joint Score-12. Correlations were analyzed between preoperatively predicted postoperative patient satisfaction and actual postoperative patient satisfaction, as well as each PROM.ResultsKSS satisfaction improved from 15.6 ± 6.1 preoperatively to 27.8 ± 8.3 postoperatively, with satisfaction reported for 41 knees (82%). The preoperatively predicted postoperative patient satisfaction score was 26.3 ± 4.6, with no significant correlation with actual postoperative score (r = 0.05, p = 0.72). The difference between preoperatively predicted patient satisfaction and actual postoperative patient satisfaction was positively correlated with the score for question 9 of the Pain Catastrophizing Scale, among other instruments constituting the predictive model.ConclusionOur data suggest that the predictive model had a low predictive value and that it had limited applicability to Japanese patients. The results also suggest that a tendency toward catastrophic thinking is associated with discrepancy between preoperatively predicted postoperative patient satisfaction and actual postoperative patient satisfaction. The predictive model has low utility and needs some modification.

Building Patient Trust in the Era of National Health Insurance: Consequences of Healthcare Service Quality, Satisfaction and Health Conditions

This study aimed to develop a patient trust model that contributes to patient satisfaction and quality healthcare services by focusing on the role of patient health condition as a moderator. Data were collected from three regional general hospitals in East Java, Indonesia, using a questionnaire administered to patients or the families of patients. The proposed model consists of seven constructs. Four represent the quality of healthcare: quality of interaction (five variables), physical environment quality (four variables), outcome quality (three variables), and justice quality (six variables). One construct represents the patient&amp;rsquo;s health condition (two variables), another represents patient satisfaction (six variables), and the last one is patient trust (six variables). The model was tested using structural equation modeling based on WarpPLS. The goodness-of-fit statistic supported the patient trust model. The hypothesis testing results indicated that physical environment quality, outcome quality, justice quality, and health conditions could predict patient satisfaction. The health condition construct was found to moderate the effect of justice quality on patient satisfaction. Moreover, interaction quality, outcome quality, health condition, and patient satisfaction had an influence on patient trust.

Canadian Spine SocietyPresentation CPSS1: Spinal insufficiency fracture in the geriatric pediatric spinePresentation CPSS2: The clinical significance of tether breakages in anterior vertebral body growth modulation: a 2-year postoperative analysisPresentation CPSS3: Anterior vertebral body growth modulation for idiopathic scoliosis: early, mid-term and late complicationsPresentation CPSS4: Ovine model of congenital chest wall and spine deformity with alterations of respiratory mechanics: follow-up from

Canadian Spine SocietyPresentation CPSS1: Spinal insufficiency fracture in the geriatric pediatric spinePresentation CPSS2: The clinical significance of tether breakages in anterior vertebral body growth modulation: a 2-year postoperative analysisPresentation CPSS3: Anterior vertebral body growth modulation for idiopathic scoliosis: early, mid-term and late complicationsPresentation CPSS4: Ovine model of congenital chest wall and spine deformity with alterations of respiratory mechanics: follow-up from

Does the Level of Confidence Exhibited by Dental Students Predict the Outcome of Complete Denture Therapy?

Materials and Methods Fifty-seven final-year dental students in the year 2019 and the first edentulous patient managed by them were recruited for the study. A fourteen-item questionnaire was given to the students to assess their level of confidence just before commencement of the treatment. Questionnaire for the patients was used to assess their satisfaction both with the operator and the dentures. Clinical outcome of dentures was assessed using ten criteria. Results The average confidence level of the students was found to be 2.17 in a 4-point scale. A two-sample test indicated that there is a significant difference in the overall level of confidence between female and male students (p value = 0.004). Moreover, a nonparametric correlation analysis revealed that there is no significant correlation between the overall level of confidence of each student and patient satisfaction regarding student performance, level of satisfaction of patients regarding dentures, and the quality of dentures as assessed by the clinicians (p value = 0.545, 0.877, and 0.801, respectively). Conclusions Students' level of confidence in carrying out complete denture procedures is satisfactory. Male students exhibited a better overall level of confidence than female students. However, the level of confidence exhibited by the dental students does not predict patient satisfaction or clinical outcome.

Factors affecting the clinical outcomes including patient satisfaction after Oxford unicompartmental knee arthroplasty: a retrospective study

BackgroundOxford unicompartmental knee arthroplasty (UKA) is widely used for treating patients with unicompartmental knee diseases. However, the factors affecting the outcomes of and patients’ satisfaction with Oxford UKA remain controversial. The aims of this study were to evaluate the clinical and radiological outcomes, including patient satisfaction, after Oxford UKA and identify the influencing factors related to patients’ satisfaction.MethodsWe retrospectively analyzed the data of patients who underwent UKA in our medical institution from 2013 to 2018. Demographic information, clinical scores, patient satisfaction and imaging findings were recorded. The patients were followed up for at least 1 year. Multivariate Logistic regression analysis was performed to identify influencing factors related to clinical outcomes including patient satisfaction.ResultsA total of 80 patients (involving 87 knees) were included. The Numerical Rating Scale (NRS) scores and Knee Society Scores (KSS) were significantly improved after operation as compared to preoperative scores (6.0 vs. 1.0, P < 0.001; 113.0 ± 27.2 vs. 167.2 ± 23.9, P < 0.001), and the varus deformity was corrected (181.0 vs. 176.0, P < 0.05). Six patients (7.5%) developed postoperative complications, and no case suffered from prosthesis loosening. The time since operation (TSO) and angle E were found to be predictors of KSS improvement (P = 0.009; P = 0.024). The postoperative KSS and angle E were found to be predictors of patient satisfaction (P = 0.001; P = 0.032).ConclusionOxford UKA can improve the NRS score and KSS and correct varus deformities. A shorter TSO and smaller angle E are indicators of a greater KSS improvement. A higher KSS and smaller angle E are indicative of higher patient satisfaction.

A Novel Composite Metric for Predicting Patient Satisfaction With Spinal Cord Stimulation

To identify relationships between clinical assessments of chronic pain to enable the generation of a multivariate model to predict patient satisfaction with spinal cord stimulation (SCS) treatment. Data from an exploratory clinical trial of sub-perception SCS (SPSCS) were reviewed. Forty-seven subjects tested multiple SPSCS programs for three to four days each. At the end of each program period, subjects recorded pain intensity, patient satisfaction with treatment (PSWT), modified patient global impression of change, and physical activity tolerance times. Twelve outcome variables were evaluated. Pearson's correlation coefficient was used to assess pair-wise correlations. Multigenerational mixed effects modeling was performed to create a model to best explain relationships between those variables. A final model was generated that predicted PSWT using evening pain intensity (EPI) and the interaction between EPI and walking tolerance time. The mixed effects model allows for visualization of the interactions between EPI, walking tolerance time, and patient satisfaction with SCS. Patient-centered outcomes are desirable when evaluating complex multidimensional health impairments but accurately predicting patient satisfaction with treatment remains a challenge. Understanding the variables that predict (either by causation or association) satisfaction would be useful for clinicians. The results of this study suggest that a composite measure of activity tolerance (i.e., walking tolerance) and pain intensity can predict patient satisfaction with SCS therapy. This study highlights the utility of composite outcomes metrics in evaluating the benefits of SCS for chronic low back and leg pain.

Exploring the Role of Partner Satisfaction in Predicting Patient Satisfaction Regarding Post-mastectomy Breast Reconstruction.

BREAST-Q and a novel partner survey were used to assess relationships among patient satisfaction, perceived partner satisfaction, and reported partner satisfaction in 11 couples. Breast reconstruction patients completed the postoperative BREAST-Q, and their partners completed a survey designed to assess satisfaction with their emotional relationship, partner's breasts, partner's medical care, and sexual relationship. The majority of patients were married. Seventy-three percent of women had an implant-based reconstruction, while 27% had an abdominal-based reconstruction. The majority (82%) of patients reported no complications with reconstructive procedures. The mean patient BREAST-Q score was 86 (range, 48-97), and the mean partner score was 87 (64-98). There was a correlation of 0.85 between reported partner satisfaction and patient satisfaction. Fifty-eight percent of partners reported being afraid to touch their partner's reconstructed breasts out of fear of causing pain; 7% of patients reported experiencing pain in the area of their reconstructed breasts. This study reveals that partner satisfaction with breast reconstruction correlates with patient satisfaction. With this knowledge, we will be able to formulate suggestions on how preoperative consultations could be conducted as to optimize patient and partner satisfaction and bridge the gap between patient and partner knowledge of postoperative pain.

The Communicative Ecology of Chinese Patients’ Experiences with Health Care

Patient satisfaction and trust are important intermediate outcomes along pathways linking clinician-patient communication to improve well-being, but they are difficult to achieve in Chinese health care. Problematic physician–patient interactions, questionable health-care organizational practices, and media coverage of medical scandals may have contributed to this problem. Nevertheless, there isscant literature documenting reasons underlying dissatisfaction with Chinese health care. Using Street’s ecological model of communication in medical encounters as a conceptual framework, this study explores how media and organizational factors affect Chinese patients’ satisfaction and trust both directly and as mediated by the quality of patients’ past communication experiences with clinicians. A survey was conducted among 257 Ob-gyn patients in a top-tier hospital in Sichuan, China. The results show that several organizational and media factors, along with patients’ experiences with physician communication, predict patient satisfaction and trust. Perceptions of physician communication mediated some of the relationships between organizational and media factors with outcomes. Theoretical and practical implications are discussed, particularly with respect to improving health-care services in China.

Opportunities to improve feasibility, effectiveness and costs associated with a total joint replacements high-volume hospital registry

BackgroundClinical registries are powerful tools for collecting uniform data longitudinally, thus making it possible to evaluate the outcome of patients affected by a specific pathology. In the context of total joint arthroplasty, registries serve also as post-market surveillance. Adoption of registries is a heavy burden for clinical settings in terms of resources and infrastructures. Excessive workload leads to incomplete data collection which undermines the effectiveness of a registry and consequently the workload needs to be optimised. MethodsStarting from the use case of the Istituto Ortopedico Galeazzi, the time and personnel dedicated to the registry was estimated. Analysis of the data collected in the first years enabled us to propose a methodology for workload reduction. Different Machine Learning models were leveraged to predict patients with excellent satisfaction to reduce the number of assessments in their clinical post-operative follow-up. Moreover, feature selection was used to identify any unnecessary clinical scale to collect. ResultsGiven an acceptance rate of 3500 patients per year, 22 doctors and 6 non-medical employees were required to adopt a registry properly. Among the tested models, the Naïve Bayes gave the best performance (AUPRC = 0.81) in predicting patient satisfaction at six months. Moreover, we found that the 12-item Short Form was poorly informative in predicting satisfaction at six-months. ConclusionsIn this study machine learning was leveraged to provide a methodology to reduce workload in the use of pathology registries. Such workload reduction can have a considerable impact at a larger scale, and improve registry feasibility in high-volume hospitals.

The Patient's Perspective and Patient Satisfaction in Labor and Delivery [35N

INTRODUCTION: Clinical and subjective factors affect the patient's perception of labor and delivery, but little is known about how much each factor contributes to patient satisfaction. This study evaluates the correlation between clinical and subjective patient parameters during the intrapartum course and patient satisfaction. METHODS: This is a cross-sectional observational study. Participants completed surveys in the immediate postpartum period. Surveys assessed the patient's perception of intrapartum events and patient satisfaction. Survey responses were compared to patient charts. Logistic regressions determined predictors of patient satisfaction. RESULTS: 332 women completed surveys. Positive subjective factors which predicted patient satisfaction included feeling the provider explained the intrapartum course well (OR 3.47, 95% CI 1.17–10.31, P=.025), patient input into managing labor (OR 2.96, 95% CI 1.46–5.98, P=.002), and increased support during labor (OR 2.45, 95% CI 0.99–6.04, P=.05). Having a birth plan led to less satisfaction (OR 0.49, 95% CI 0.24–0.96, P=.04). Birth classes and feeling pressured by providers in labor were not significant predictors of patient satisfaction. Positive clinical predictors of patient satisfaction included a vaginal delivery (OR 1.97, 95% CI 1.07–3.27, P=.02), but multiparity, advanced maternal age, regional anesthesia, episiotomy, or a postpartum hemorrhage were not significant predictors of satisfaction. Understanding the labor and delivery events predicted high satisfaction (P=.02). CONCLUSION: Patient satisfaction is dependent on patient input into labor, adequate explanations of the labor course, increased support in labor, high patient understanding, and achieving a vaginal delivery.

Correlation Between the Oswestry Disability Index and the North American Spine Surgery Patient Satisfaction Index

The Oswestry Disability Index (ODI) is a widely used patient-reported outcome instrument in lumbar spine surgery, but its relationship to the increasingly scrutinized but still heterogeneous patient satisfaction metrics has not been well described. One popular metric is the North American Spine Society (NASS) patient satisfaction index. This study aimed to determine whether change in ODI predicts patient satisfaction. Adult patients at a neurosurgery spine clinic completed the ODI and NASS questionnaires at various times in their care between September 2014 and November 2018. Scores were retrospectively analyzed using ordinal logistic regression. One thousand thirty-seven patients were identified (mean age 59.3 ± 14.7 years, 54.2% male). At 3, 12, and 24 months postoperatively, 684 (84.5%), 400 (83.3%), and 215 (80.9%) patients, respectively, expressed satisfaction (NASS score 1 or 2). Mean ± standard deviation improvements in ODI at 3, 12, and 24 months postoperatively were 16.8 ± 17.5 (n=675), 18.4 ± 17.5 (n= 396), and 19.7 ± 17.7 (n= 213). For every unit improvement in ODI, the odds of selecting the next most satisfied NASS score at 3, 12, and 24 months postoperatively increased by 6.8% (95% confidence interval [CI] 5.6%-8.1%), 5.8% (95% CI 4.4%-7.1%), and 6.0% (95% CI 4.2%-7.9%), respectively. Every 10-unit improvement increased the odds, respectively, by 93.8% (95% CI 73.2%-117.0%), 75.0% (95% CI 53.8%-99.1%), and 79.4% (95% CI 50.3%-114.1%). Improvements in ODI are predictive of increased patient satisfaction as defined by the NASS index. A 10-point improvement in ODI nearly doubled the odds of increased satisfaction 3 months postoperatively.

Are Oxford Hip Score and Western Ontario and McMaster Universities Osteoarthritis Index Useful Predictors of Clinical Meaningful Improvement and Satisfaction After Total Hip Arthroplasty?

BackgroundUp to 15% of patients express dissatisfaction after total hip arthroplasty (THA). Preoperative patient-report outcome measures (PROMs) scores can potentially mitigate this by predicting postoperative satisfaction, identifying patients that will benefit most from surgery. The aim of this study was to (1) calculate the minimal clinically important difference (MCID) thresholds for Oxford Hip Score (OHS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the Short Form-36 (SF-36) mental component summary (MCS) and physical component summary (PCS) scores and (2) identify the threshold values of these PROMs that could be used to predict patient satisfaction and expectation fulfilment. MethodsProspectively collected registry data of 1334 primary THA patients who returned for 2-year follow-up from 1998 to 2016 were reviewed. All patients were assessed preoperatively and postoperatively at 2 years using the OHS, WOMAC, and SF-36 PCS/MCS scores. The MCID for each PROMs was calculated, and the proportion of patients that attained MCID was recorded. The relationship between satisfaction, expectation fulfilment, and MCID attainment was analyzed using Spearman rank correlation. Optimal threshold scores for each PROM that predicted MCID attainment and satisfaction/expectation fulfilment at 2 years were calculated using receiver operating curve analysis. ResultsThe calculated MCID for OHS, WOMAC, SF-36 PCS, and SF-36 MCS were 5.2, 10.8, 6.7, and 6.2, respectively. A threshold value of 24.5 for the preoperative OHS was predictive of achieving WOMAC MCID at 2 years after THA (area under the curve 0.80, P < .001). 93.1% of patients were satisfied, and 95.5% had expectations fulfilled at 2 years. None of the PROMs were able to predict satisfaction. ConclusionOHS and WOMAC scores can be used to determine clinical meaningful improvement but are limited in their ability to predict patient satisfaction after THA.

Keys to improving patient satisfaction in the pediatric urology clinic: A starting point

Recent developments in healthcare have placed increased focus on patient satisfaction. Among adult populations, validated patient satisfaction tools have now been incorporated into routine practice. This process has been much slower and is significantly less standardized in pediatric populations. The objective of this analysis was to evaluate various factors that predict patient satisfaction in pediatric urology settings. Data from the National Research Corporation (NRC) Health Patient Survey were collected from children receiving urological care between 2017 and 2019. Survey data were merged with demographic and visit-related information from electronic health records (EHR). Rating of provider on the NCR Health survey was chosen as the primary outcome. Two multivariable models were analyzed by logistic regression. The first model contained only demographic and clinic-based predictor variables. The second model contained the NRC survey questions. This analysis includes a total of 3232 surveys. Multivariable analysis of EHR demographic and visit data found that low income insurance (Medicaid) (OR=1.3, p=0.035), primary language Spanish (OR=1.5, p=0.012), and shorter in-office wait time (OR=0.94, p<0.001) were predictors for higher patient satisfaction scores. Multivariable analysis of NCR Health survey data identified physician explanation, listening, respect for patient, time spent with patient and communication between physicians and nurses as highly significant predictors of satisfaction (p<0.001). This analysis has identified several modifiable and non-modifiable variables that predict patient satisfaction in a population of children receiving care in a pediatric urology clinic. Limitations of this study include the possibility for response bias and lack of data on other potentially important but unmeasured factors. Certain patient populations are more satisfied with the outpatient urology clinic experience. Several factors related to physician-patient communication are modifiable areas to improve patient satisfaction. Further intervention studies focusing on the modifiable areas are needed to increase patient satisfaction in pediatric urology.