Factors that influence inpatient satisfaction after shoulder arthroplasty

Association Between Preoperative Patient Resilience and Patient-Reported Outcomes After Rotator Cuff Repair

Background

Mental and emotional health can affect outcomes after orthopaedic surgery, and patient resilience has been found to be significantly related to postoperative functional outcomes.

Purpose

To evaluate the relationship between preoperative patient resilience and 2-year postoperative patient-reported outcomes after rotator cuff repair (RCR). It was hypothesized that patients with low preoperative resilience will have worse patient-reported outcomes at 2 years after RCR versus those with high resilience.

Study Design

Cohort study; Level of evidence, 3.

Methods

Patients who underwent primary arthroscopic RCR in 2020 at a single institution and completed the Brief Resilience Scale (BRS) preoperatively were identified. Other inclusion criteria were American Shoulder and Elbow Surgeons (ASES) and Single Assessment Numeric Evaluation (SANE) scores at the 2-year follow-up. Outcomes were compared in patients as divided into low resilience (BRS score >1 SD below the mean), normal resilience (BRS score ≤1 SD of the mean), and high resilience (BRS score >1 SD above the mean) groups.

Results

Overall, 100 patients (52 male, 48 female; mean age, 60 ± 9 years) were included in this study. Mean BRS scores did not change significantly from preoperative to 2-year follow-up (3.8 ± 0.7 vs 3.9 ± 0.8, P = .404). All patients had preoperative ASES scores. Low-resilience patients (n = 17) had significantly lower preoperative ASES scores compared with normal (n = 64) and high resilience (n = 19) patients (35 vs 42 vs 54, respectively; P = .022). There were no significant group differences in postoperative outcomes (revision rate, ASES score, ASES score improvement from preoperative to 2-year follow-up, or SANE score). Multivariate analysis indicated that preoperative resilience was not significantly associated with ASES score improvement (β estimate = -5.64, P = .150), while resilience at 2-year follow-up was significantly related to ASES score improvement (β estimate = 6.41, P = .031).

Conclusion

Patient-reported outcomes at 2-year follow-up did not differ based on preoperative patient resilience for arthroscopic RCR patients. Multivariate analysis also showed that preoperative resilience was not associated with improvement in ASES scores; however, resilience at 2-year follow-up was associated with ASES score improvement.

Assessment of Patient Matters in Healthcare Facilities

BACKGROUND AND OBJECTIVES

Ensuring the sustainability of healthcare facilities requires the evaluation of patient matters with appropriate methods and tools. The objective of this research is to develop a new tool for assessing patient matters as a component of social responsibility requirements that contribute to the sustainability of healthcare facilities.

MATERIALS AND METHODS

We carried out an analytical observational study in which, starting from the domains of the reference framework for the sustainability of health facilities (economic, environmental, social, provision of sustainable medical care services and management processes), we designed indicators that describe patient matters. To achieve this, we extracted from the scientific literature the most recent data and aspects related to patient matters that have been reported by representative hospitals from all over the world. These were organized into the four sequences of the quality cycle. We designed the method of evaluating the indicators based on the information couple achievement degree-importance of the indicator. In the experimental part of the study, we validated the indicators for the evaluation of patient matters and the evaluation method at an emergency hospital with an orthopedic profile.

RESULTS

We developed the patient matters indicator matrix, the content of the 8 indicators that make it up, questions for the evaluation of the indicators, and the evaluation grids of the indicators. They describe five levels for each variable of the achievement degree-importance couple. The practical testing of the indicators at the emergency hospital allowed the calculation of sustainability indicators and the development of a prioritization matrix for improvement measures.

CONCLUSIONS

Indicators designed in this research cover social responsibility requirements that describe patient matters. They are compatible and can be used by health facilities along with other implemented national and international requirements. Their added value consists in promoting social responsibility and sustainable development of healthcare facilities.

Smoking cessation prior to total shoulder arthroplasty: A systematic review of outcomes and complications

Background

We conducted a review of current literature to examine the effects of smoking and smoking cessation on shoulder arthroplasty surgery.

Methods

A literature search was performed using the search terms "shoulder arthroplasty AND [smoke OR smoking OR tobacco OR nicotine]." Studies included English-language clinical outcomes studies on anatomic total shoulder arthroplasty (TSA), reverse TSA, and partial shoulder arthroplasty with evidence levels 1 through 4. Descriptive statistics calculated in the included studies were used during the analysis. Categorical variables were reported as proportions, while continuous variables were reported as means with minimum to maximum absolute ranges.

Results

Twenty-four studies were included and analyzed. Following TSA, patients who quit smoking at least 1 month preoperatively had improved outcomes compared to current smokers. Current smokers had statistically significant higher pain scores or opioid use. Five studies found increased rates of revision surgery in smokers. Smokers were significantly (p < 0.05) more likely to have increased rates of surgical, wound, superficial, and deep surgical site complications.

Discussion

Former smokers had lower complication rates and visual analog scale scores when compared to current users. A period of four weeks or more of preoperative smoking cessation is recommended.

Level of Evidence

Level III, Systematic Review.

A validated preoperative risk prediction tool for discharge to skilled nursing or rehabilitation facility following anatomic or reverse shoulder arthroplasty

BACKGROUND

As bundled payment models continue to spread, understanding the primary drivers of cost excess helps providers avoid penalties and ensure equal health care access. Recent work has shown discharge to rehabilitation and skilled nursing facilities (SNFs) to be a primary cost driver in total joint arthroplasty, and an accurate preoperative risk calculator for shoulder arthroplasty would not only help counsel patients in clinic during shared decision-making conversations but also identify high-risk individuals who may benefit from preoperative optimization and discharge planning.

METHODS

Anatomic and reverse total shoulder arthroplasty cohorts from 2 geographically diverse, high-volume centers were reviewed, including 1773 cases from institution 1 (56% anatomic) and 3637 from institution 2 (50% anatomic). The predictive ability of a variety of candidate variables for discharge to SNF/rehabilitation was tested, including case type, sociodemographic factors, and the 30 Elixhauser comorbidities. Variables surviving parameter selection were incorporated into a multivariable logistic regression model built from institution 1's cohort, with accuracy then validated using institution 2's cohort.

RESULTS

A total of 485 (9%) shoulder arthroplasties overall were discharged to post-acute care (anatomic: 6%, reverse: 14%, P < .0001), and these patients had significantly higher rates of unplanned 90-day readmission (5% vs. 3%, P = .0492). Cases performed for preoperative fracture were more likely to require post-acute care (13% vs. 3%, P < .0001), whereas revision cases were not (10% vs. 10%, P = .8015). A multivariable logistic regression model derived from the institution 1 cohort demonstrated excellent preliminary accuracy (area under the receiver operating characteristic curve [AUC]: 0.87), requiring only 11 preoperative variables (in order of importance): age, marital status, fracture, neurologic disease, paralysis, American Society of Anesthesiologists physical status, gender, electrolyte disorder, chronic pulmonary disease, diabetes, and coagulation deficiency. This model performed exceptionally well during external validation using the institution 2 cohort (AUC: 0.84), and to facilitate convenient use was incorporated into a freely available, online prediction tool. A model built using the combined cohort demonstrated even higher accuracy (AUC: 0.89).

CONCLUSIONS

This validated preoperative clinical decision tool reaches excellent predictive accuracy for discharge to SNF/rehabilitation following shoulder arthroplasty, providing a vital tool for both patient counseling and preoperative discharge planning. Further, model parameters should form the basis for reimbursement legislation adjusting for patient comorbidities, ensuring no disparities in access arise for at-risk populations.

Factors Affecting the Satisfaction Levels of Patients who Underwent Orthopedic Knee Surgery in the Early Postoperative Period

The aim of this study was to investigate the effects of biopsychosocial parameters in the early postoperative period on the satisfaction of patients. Seventy-seven patients (female/male: 61/16, age: 40.28 ± 17.67 years) who underwent arthroscopic meniscectomy (n = 43), anterior cruciate ligament reconstruction (n = 25) and total knee arthroplasty (n = 9) were included in this study. The satisfaction levelwas evaluated using the Orthopedics Service Inpatient Satisfaction Survey (OTISS). In addition, the pain intensity, anxiety, depression, and independence level in daily living activities of the patients were evaluated. There was a very weak negative correlation between the anxiety and the satisfaction level with the physiotherapist and secretary (r: -0.274, p: 0.016; r:-0.265, p: 0.020). A very weak negative correlation was found between the pain intensity at activity and satisfaction with the nurse (r: -0.227, p: 0.048). There were very weak correlations between feeding and satisfaction with the physiotherapist (r: 0.292, p: 0.010), secretary (r: 0.285, p: 0.012), doctor (r: -0.269, p: 0.018), nurse (r: 0.300, p: 0.008) general satisfaction (r: 0.251, p: 0.028) and OTISS total score (r: -0.305, p: 0.007). In conclusion, the pain intensity, anxiety, and independence level in the early postoperative period were related to the satisfaction levels of patients who have undergone orthopedic knee surgery.