A practical tool for managing change: cross-sectional psychometric assessment of the safe surgery organizational readiness tool.

BACKGROUND: Strengthening health systems through planned safety and quality improvement initiatives is an imperative to achieve more equitable, resilient, and effective care. And yet, years of organizational behavior research demonstrate that change initiatives often fall short because managers fail to account for organizational readiness for change. This finding remains true especially among surgical safety and quality improvement initiatives in low-income countries and middle-income countries. In this study, our aim was to psychometrically assess the construct validity and internal consistency of the Safe Surgery Organizational Readiness Tool (SSORT), a short survey tool designed to provide change leaders with insight into facility infrastructure that supports learning and readiness to undertake change. MATERIALS AND METHODS: To demonstrate generalizability and achieve a large sample size ( n =1706) to conduct exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), a collaboration between seven surgical and anesthesia safety and quality improvement initiatives was formed. Collected survey data from health care workers were divided into pilot, exploration, and confirmation samples. The pilot sample was used to assess feasibility. The exploration sample was used to conduct EFA, while the confirmation sample was used to conduct CFA. Factor internal consistency was assessed using Cronbach's alpha coefficient. RESULTS: Results of the EFA retained 9 of the 16 proposed factors associated with readiness to change. CFA results of the identified 9 factor model, measured by 28 survey items, demonstrated excellent fit to data. These factors (appropriateness, resistance to change, team efficacy, team learning orientation, team valence, communication about change, learning environment, vision for sustainability, and facility capacity) were also found to be internally consistent. CONCLUSION: Our findings suggest that communication, team learning, and supportive environment are components of change readiness that can be reliably measured prior to implementation of projects that promote surgical safety and quality improvement in low-income countries and middle-income countries. Future research can link performance on identified factors to outcomes that matter most to patients.

Does Tibial Tuberosity Osteotomy Improve Outcomes When Combined With Medial Patellofemoral Ligament Reconstruction in the Presence of Increased Tibial Tuberosity-Trochlear Groove Distance? A Systematic Review and Meta-analysis.

Background: There has been recent debate regarding the optimal surgical management strategy for recurrent patellofemoral instability in the presence of an increased tibial tuberosity-trochlear groove (TT-TG) distance. In particular, performing a combined tibial tuberosity osteotomy (TTO) and medial patellofemoral ligament reconstruction (MPFLR) for patients with a TT-TG >20 mm has been questioned, with the hypothesis that an isolated MPFLR (iMPFLR) would be just as effective. Purpose: To pool and compare outcomes after MPFLR+TTO versus iMPFLR in patients with a TT-TG >20 mm. Study Design: Systematic review; Level of evidence, 4. Methods: PubMed-MEDLINE, Embase, Web of Science, and Cochrane Central were searched, and a systematic review was performed. Included were studies that reported postoperative redislocation rates and/or functional outcome scores for patients with recurrent patellar instability and a TT-TG >20 mm who underwent either MPFLR+TTO or iMPFLR and had minimum 2-year follow-up data. Methodologic quality was assessed using the modified Coleman Methodology Score (mCMS). A proportional meta-analysis comparing redislocation, subjective instability, and total complication rates was performed, and mean postoperative functional outcome scores were pooled using a random-effects model with a restricted maximum likelihood estimator. Results: In total, 1548 studies were screened, from which 13 were included for analysis. Of the 386 included patients (406 knees), 276 underwent MPFLR+TTO and 110 underwent iMPFLR. The mean mCMS was 61.3 ± 10.5 (range, 48-77). The pooled postoperative redislocation rate was 1.22% (95% CI, 0.22%-7%), with no significant difference between the study groups (P = .9995). The pooled complication rate was 10.17% (95% CI, 6.2%-16.3%) with no difference between groups (P = .9275), although the MPFLR+TTO group had higher heterogeneity in complication rates (I2 = 79.4%) compared with iMPFLR (I2 = 0%). There was no group difference in the pooled postoperative Lysholm scores (P = .5177), but patients who underwent iMPFLR had significantly higher postoperative Kujala scores compared with those who underwent MPFLR+TTO (P = .0283). Conclusion: Even in the presence of previously indicative anatomic factors (TT-TG >20 mm), TTO combined with MPFLR does not seem to confer additional benefit compared with iMPFLR. This finding could be advantageous in minimizing the burden of additional surgery with its associated risks. The study findings should, however, be interpreted with caution given the heterogeneity of the studies.

Patient Adherence Following Knee Surgery: Evidence-Based Practices to Equip Patients for Success.

Patient adherence with postoperative wound care, activity restrictions, rehabilitation, medication, and follow-up protocols is paramount to achieving optimal outcomes following knee surgery. However, the ability to adhere to prescribed postoperative protocols is dependent on multiple factors both in and out of the patient's control. The goals of this review article are (1) to outline key factors contributing to patient nonadherence with treatment protocols following knee surgery and (2) to synthesize current management strategies and tools for optimizing patient adherence in order to facilitate efficient and effective implementation by orthopaedic health care teams. Patient adherence is commonly impacted by both modifiable and nonmodifiable factors, including health literacy, social determinants of health, patient fear/stigma associated with nonadherence, surgical indication (elective vs. traumatic), and distrust of physicians or the health care system. In addition, health care team factors, such as poor communication strategies or failure to follow internal protocols, and health system factors, such as prior authorization delays, staffing shortages, or complex record management systems, impact patient's ability to be adherent. Because the majority of factors found to impact patient adherence are nonmodifiable, it is paramount that health care teams adjust to better equip patients for success. For health care teams to successfully optimize patient adherence, focus should be paid to education strategies, individualized protocols that consider patient enablers and barriers to adherence, and consistent communication methodologies for both team and patient-facing communication.

Scaling Surgical Resources: A Capacity Analysis of C-arm Machines in Haiti Following the 2021 Earthquake.

BACKGROUND: In 2021, a 7.2 magnitude earthquake struck Haiti resulting in a surge of orthopaedic trauma requiring immediate surgical treatment. Safe and efficient operative management of orthopaedic trauma injuries requires intraoperative fluoroscopy through C-arm machines. The Haitian Health Network (HHN) received a philanthropic donation of three C-arm machines and considered an analytical tool may guide efficacious placement of those machines. The study objective was to develop and apply a clinical needs and hospital readiness measuring tool relevant to C-arm machines, which may guide decision-makers, such as HHN, in response to an emergency situation with a surge in need for orthopaedic treatment. METHODS: An online survey to assess surgical volume and capacity was created and then completed by a senior surgeon or hospital administrator based at hospitals within the HHN. Multiple-choice and free-text answer data were collected and classified into five categories: staff, space, stuff, systems, and surgical capacity. Each hospital received a final score out of 100, calculated by equal weighting of each category. RESULTS: Ten out of twelve hospitals completed the survey. The average weighted score for the staff category was 10.2 (SD 5.12), the space category was 13.1 (SD 4.09), the stuff category was 15.6 (SD 2.56), the systems category was 12.25 (SD 6.50), and the surgical capacity category was 9.5 (SD 6.47). The average final hospital scores ranged from 29.5 to 83.0. CONCLUSION: This analysis tool provided data as to the clinical demand and capabilities of hospitals within the HHN to receive a C-arm machine and reaffirmed the critical need for more C-arms in Haiti. This methodology may be utilised by other health systems to provide data to distribute orthopaedic trauma equipment, which would benefit communities during periods of surge capacity, such as natural disasters.