Effects of a transsphenoidal surgery quality improvement program on patient outcomes and hospital financial performance

2021 ◽  
pp. 1-10
Author(s):  
Christina E. Sarris ◽  
Scott T. Brigeman ◽  
Estelle Doris ◽  
Maggie Bobrowitz ◽  
Thomas Rowe ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Financial Performance ◽  
Patient Care ◽  
Patient Outcomes ◽  
Transsphenoidal Surgery ◽  
Pituitary Surgery ◽  
Care Pathways ◽  
Improvement Program ◽  
Hospital Financial Performance ◽  
Improve Patient

OBJECTIVE A comprehensive quality improvement (QI) program aimed at all aspects of patient care after pituitary surgery was initiated at a single center. This initiative was guided by standard quality principles to improve patient outcomes and optimize healthcare value. The programmatic goal was to discharge most elective patients within 1 day after surgery, improve patient safety, and limit unplanned readmissions. The program is described, and its effect on patient outcomes and hospital financial performance over a 5-year period are investigated. METHODS Details of the patient care pathway are presented. Foundational elements of the QI program include evidence-based care pathways (e.g., for hyponatremia and pain), an in-house research program designed to fortify care pathways, patient education, expectation setting, multidisciplinary team care, standard order sets, high-touch postdischarge care, outcomes auditing, and a patient navigator, among other elements. Length of stay (LOS), outcome variability, 30-day unplanned readmissions, and hospital financial performance were identified as surrogate endpoints for healthcare value for the surgical epoch. To assess the effect of these protocols, all patients undergoing elective transsphenoidal surgery for pituitary tumors and Rathke’s cleft cysts between January 2015 and December 2019 were reviewed. RESULTS A total of 609 adult patients who underwent elective surgery by experienced pituitary surgeons were identified. Patient demographics, comorbidities, and payer mix did not change significantly over the study period (p ≥ 0.10). The mean LOS was significantly shorter in 2019 versus 2015 (1.6 ± 1.0 vs 2.9 ± 2.2 midnights, p < 0.001). The percentage of patients discharged after 1 midnight was significantly higher in 2019 versus 2015 (75.4% vs 15.6%, p < 0.001). The 30-day unplanned hospital readmission rate decreased to 2.8% in 2019 from 8.3% in 2015. Per-patient hospital profit increased 71.3% ($10,613 ± $19,321 in 2015; $18,180 ± $21,930 in 2019), and the contribution margin increased 42.3% ($18,925 ± $19,236 in 2015; $26,939 ± $22,057 in 2019), while costs increased by only 3.4% ($18,829 ± $6611 in 2015; $19,469 ± $4291 in 2019). CONCLUSIONS After implementation of a comprehensive pituitary surgery QI program, patient outcomes significantly improved, outcome variability decreased, and hospital financial performance was enhanced. Future studies designed to evaluate disease remission, patient satisfaction, and how the surgeon learning curve may synergize with other quality efforts may provide additional context.

Conceptualizing Narrative Health and Medicine to Develop Cultural Competence to Improve Communication During the COVID-19 Pandemic

2021 ◽  
Vol 8 (1) ◽  
pp. 32-36
Author(s):  
Kent Willis ◽  
Colleen Marzilli
Keyword(s):  
Healthcare Professional ◽  
Cultural Competence ◽  
Severe Acute Respiratory Syndrome ◽  
Patient Care ◽  
Patient Outcomes ◽  
Healthcare Professionals ◽  
Important Concept ◽  
Healthcare Environment ◽  
Health Narrative ◽  
Improve Patient

Narrative health is a technique that healthcare professionals can use to connect with patients. The events of 2020, including the global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have identified that patient care is largely dependent upon relationships within the healthcare environment. Relationships in the healthcare environment are established through a trusting exchange between the patient and provider, and one technique to develop this relationship and trust is through narrative health. Narrative health provides the exchange of information between patient and provider in a discussion-like manner, or narrative health. This strategy promotes cultural competence amongst the healthcare professional team and improves communication between the patient and provider. Narrative health is an important concept for healthcare professionals to understand, and narrative health should be a part of any healthcare professional’s toolbox, especially in vulnerable times like the COVID pandemic. The inclusion of narrative health in practice has the potential to improve patient outcomes and empower healthcare professionals and patients.

scholarly journals Implementation of a Quality Improvement Role for Unlicensed Assistive Personnel and Effects on Infection Prevention

2021 ◽  
Vol 1 (S1) ◽  
pp. s73-s74
Author(s):  
Natalie Schnell ◽  
Lauren DiBiase ◽  
Amy Selimos ◽  
Lisa Stancill ◽  
Shelley Summerlin-Long ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Data Collection ◽  
Patient Care ◽  
Patient Outcomes ◽  
Infection Prevention ◽  
Central Line ◽  
Direct Patient Care ◽  
Evidence Based ◽  
Infection Rates ◽  
Process Measure

Background: Care bundles comprise evidence-based practices and interventions that are easily and consistently implemented while improving patient outcomes. As patient acuity and task overload continue to increase, infection prevention bundle and process measure compliance and data collection may become a lower priority for registered nurses (RNs). In early 2019, a certified nursing assistant (CNA) began full-time quality liaison work on a 53-bed inpatient adult oncology unit at UNC Medical Center to provide targeted compliance data collection and to correct deficits in real time when possible and within the appropriate scope of practice. Methods: The quality liaison CNA is highly motivated, with a relevant clinical background and effective communication skills. After conducting a gap analysis, the unit developed specific responsibilities for several areas of quality improvement, including infection prevention. In addition to rounding on all patients daily, the quality liaison (1) performs direct patient care tasks like Foley catheter care, (2) conducts patient education on topics such as chlorhexidine gluconate treatments, (3) performs all relevant process measure audits, and (4) easily relays missed or needed care to RNs with a door sign created as part of this initiative. High-risk findings, such as a loose central-line dressing, prompt immediate communication to the RN, with follow-up and escalation when necessary. Results: Patients and staff received the quality liaison well, and the increased attention to care bundle components and auditing ensured consistent, evidence-based care along with accurate and reliable data collection. Compared to the previous calendar year, the number of central-line audits on the unit increased by >1,400 by the end of 2019. Patient outcomes improved, and during 1 fiscal year, the unit achieved rate reductions between 40% and 55% for central-line–associated bloodstream infections, catheter-associated urinary tract infections, and healthcare-associated C. difficile infections. Staffing and logistical challenges imposed by the COVID-19 global pandemic have hampered this work because the quality liaison was redeployed to direct patient care intermittently. Correspondingly, from July to October 2020, the same infection rates increased between 30% and 353%. Conclusions: Having a designated quality liaison is an effective means to achieving quality improvements while remaining an integral member of the patient care team. As staffing has improved on this unit, the quality liaison has refocused efforts, and infection rates are beginning to improve. Given the success of the quality liaison role in improving quality outcomes on this unit, the hospital is exploring expansion of this model to additional units.Funding: NoDisclosures: None

scholarly journals Patient Outcomes and Cost-Effectiveness of a Sepsis Care Quality Improvement Program in a Health System*

2019 ◽  
Vol 47 (10) ◽  
pp. 1371-1379 ◽  
Author(s):  
Majid Afshar ◽  
Erum Arain ◽  
Chen Ye ◽  
Emily Gilbert ◽  
Meng Xie ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Cost Effectiveness ◽  
Health System ◽  
Patient Outcomes ◽  
Care Quality ◽  
Quality Improvement Program ◽  
Improvement Program ◽  
Sepsis Care

scholarly journals Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance

Neurosurgery ◽  
2018 ◽  
Vol 85 (3) ◽  
pp. 384-393 ◽  
Author(s):  
Whitney E Muhlestein ◽  
Dallin S Akagi ◽  
Jason M Davies ◽  
Lola B Chambless
Keyword(s):  
Machine Learning ◽  
Brain Tumor ◽  
Length Of Stay ◽  
Patient Outcomes ◽  
External Validation ◽  
Training Dataset ◽  
Ensemble Model ◽  
Improvement Program ◽  
Improve Patient ◽  
Inpatient Length Of Stay

Abstract BACKGROUND Current outcomes prediction tools are largely based on and limited by regression methods. Utilization of machine learning (ML) methods that can handle multiple diverse inputs could strengthen predictive abilities and improve patient outcomes. Inpatient length of stay (LOS) is one such outcome that serves as a surrogate for patient disease severity and resource utilization. OBJECTIVE To develop a novel method to systematically rank, select, and combine ML algorithms to build a model that predicts LOS following craniotomy for brain tumor. METHODS A training dataset of 41 222 patients who underwent craniotomy for brain tumor was created from the National Inpatient Sample. Twenty-nine ML algorithms were trained on 26 preoperative variables to predict LOS. Trained algorithms were ranked by calculating the root mean square logarithmic error (RMSLE) and top performing algorithms combined to form an ensemble. The ensemble was externally validated using a dataset of 4592 patients from the National Surgical Quality Improvement Program. Additional analyses identified variables that most strongly influence the ensemble model predictions. RESULTS The ensemble model predicted LOS with RMSLE of .555 (95% confidence interval, .553-.557) on internal validation and .631 on external validation. Nonelective surgery, preoperative pneumonia, sodium abnormality, or weight loss, and non-White race were the strongest predictors of increased LOS. CONCLUSION An ML ensemble model predicts LOS with good performance on internal and external validation, and yields clinical insights that may potentially improve patient outcomes. This systematic ML method can be applied to a broad range of clinical problems to improve patient care.

Triage of Rheumatology Referrals Facilitates Wait Time Benchmarks

2016 ◽  
Vol 43 (11) ◽  
pp. 2064-2067 ◽  
Author(s):  
Chandra Farrer ◽  
Liza Abraham ◽  
Dana Jerome ◽  
Jacqueline Hochman ◽  
Natasha Gakhal
Keyword(s):  
Quality Improvement ◽  
Connective Tissue ◽  
Patient Outcomes ◽  
Inflammatory Arthritis ◽  
Wait Time ◽  
Wait Times ◽  
Referral Letter ◽  
Advanced Practice ◽  
Priority Ranking ◽  
Improve Patient

Objective.In 2014 the Canadian Rheumatology Association published wait time benchmarks for inflammatory arthritis (IA) and connective tissue disease (CTD) to improve patient outcomes. This study’s aim was to determine whether centralized triage and the introduction of quality improvement initiatives would facilitate achievement of wait time benchmarks.Methods.Referrals from September to November 2012 were retrospectively triaged by an advanced practice physiotherapist (APP) and compared to referrals triaged by an APP from January to March 2014. Each referral was assigned a priority ranking and categorized into one of 2 groups: suspected IA/CTD, or suspected non-IA/CTD. Time to initial consult and time to notification from receipt of referral were assessed.Results.A total of 558 (n = 227 and n = 331 from 2012 and 2014, respectively) referrals were evaluated with 35 exclusions. In 2012, there were 96 (42.5%) suspected IA/CTD and 124 (54.9%) suspected non-IA/CTD patients at the time of the initial consult. Mean wait times in 2012 for patients suspected to have IA was 33.8 days, 95% CI 27.8–39.8, compared to 37.3 days, 95% CI 32.9–41.7 in suspected non-IA patients. In 2014, there were 131 patients (43%) with suspected IA based on information in the referral letter. Mean wait times in 2014 for patients suspected to have IA was 15.5 days, 95% CI 13.85–17.15, compared to 52.2 days, 95% CI 46.3–58.1 for suspected non-IA patients. Time to notification of appointment improved from 17 days to 4.37 days.Conclusion.Centralized triage of rheumatology referrals and quality improvement initiatives are effective in improving wait times for priority patients as determined by paper referral.

scholarly journals Orthopedic Research: A golden opportunity to improve patient outcomes

2021 ◽  
Vol 55 (3) ◽  
Author(s):  
Site Administrator ◽  
Czar Louie Gaston
Keyword(s):  
Patient Care ◽  
Patient Outcomes ◽  
Fracture Liaison Service ◽  
The Philippines ◽  
Evidence Based ◽  
The Core ◽  
Fracture Liaison Services ◽  
Randomized Controlled ◽  
Fracture Liaison ◽  
Improve Patient

Research has been one of the core pillars of the Department of Orthopedics of the Philippine General Hospital over its now 50 years of existence. The department established one of the earliest resident’s research contests in the hospital in 1983 and its graduates regularly publish in peer reviewed journals and present their results in international conferences.1 Residents are required to complete 2 original studies prior to graduation and encouraged to document their clinical cases fully for future observational studies. Despite the apparent fascination, questions remain for a lot of trainees and clinicians. “Why do research? How does it  help our patients?” Skepticism abounds as even clinically sound and well-made studies oftentimes do not lead to policy and practice changes needed to improve patient care.2 Given contrarian evidence from randomized controlled trials (RCTs), practices of most established surgeons do not change.3 Hope remains however as evidence-based practice in orthopedics is growing and here to stay.4 Surgeons who accurately examine and diagnose their patient, keep medical records, analyze the medical literature for the best treatment, and explain the available options are subconsciously practicing the scientific methods of observation, documentation, analysis, and reporting conclusions which are the basis of all scientific research. Incorporating research education not just to residency training programs but also to continuing medical education (CME) courses for surgeons may help develop the skills to comprehend new studies and incorporate them into patient care. Reassuringly for the elder surgeon, even old dogs have been shown to learn new tricks for their practice, just not as fast as the younger generation.5 The challenge now presented to Philippine medical practitioners is to develop clinical research that will translate into improved care for patients. As majority of literature dictating treatment for musculoskeletal disorders come from developed countries, case series or observational cohorts reporting local data in our setting is greatly important in guiding patient care.6 The fundamental goal is to produce high quality studies or new breakthroughs that engage discussion amongst a wide audience and lead to system changes that eventually enhance patient outcomes.7 As part of the celebration of the PGH Department of Orthopedics 50th golden anniversary, this orthopedic issue of the ACTA MEDICA PHILIPPINA represents work from the different orthopedic subspecialities of the department and its graduates. Pioneering studies on brachial plexus injuries, computer navigated spine surgery, rotationplasty, artificial intelligence, pedagogy, and much more highlight the growth of orthopedics in the Philippines. A study on one of the newest fields in Philippine orthopedics, orthogeriatrics, exemplifies the importance of blazing a new trail. The publication by Reyes et al. on a multidisciplinary orthogeriatric approach to the treatment of fragility hip fractures has shown improved outcomes consistent with the positive results of other fracture liaison services in Asia and worldwide.8,9 Their work has since led to the UPM-PGH Orthogeriatric Multidisciplinary Fracture Management Model and Fracture Liaison Service being adopted by PGH as a clinical pathway and has served as a model for other hospitals in the Philippines to improve their care of patients with fragility hip fractures. With the follow-through from the initial clinical study to administrative and policy changes, this example aptly illustrates the power of research to effect significant improvements in clinical outcomes and inspires all of us to continue to strive for better care for our patients.   Czar Louie Gaston, MD, FPOA Department of Orthopedics Philippine General Hospital University of the Philippines Manila   REFERENCES College of Medicine University of the Philippines Manila. Orthopedics [Internet]. [cited 2021 May]. Available from: https://cm.upm.edu.ph/p/orthopedics/ Buchbinder R, Maher C, Harris IA. Setting the research agenda for improving health care in musculoskeletal disorders. Nat Rev Rheumatol. 2015 Oct;11(10):597-605. doi: 10.1038/nrrheum.2015.81. Epub 2015 Jun 16. PMID: 26077917. Sonntag J, Landale K, Brorson S, Harris IA. Can the results of a randomized controlled trial change the treatment preferences of orthopaedic surgeons? Bone Jt Open. 2020 Sep 11;1(9):549-555. doi: 10.1302/2633-1462.19.BJO-2020-0093.R1. PMID: 33215153; PMCID: PMC7659699. Griffin XL, Haddad FS. Evidence-based decision making at the core of orthopaedic practice. Bone Joint J. 2014 Aug;96-B(8):1000-1. doi: 10.1302/0301-620X.96B8.34614. PMID: 25086112. Niles SE, Balazs GC, Cawley C, Bosse M, Mackenzie E, Li Y, et al. Translating research into practice: is evidence-based medicine being practiced in military-relevant orthopedic trauma? Mil Med. 2015 Apr;180(4):445-53. doi: 10.7205/MILMED-D-14-00296. PMID: 25826350. Elliott IS, Sonshine DB, Akhavan S, Slade Shantz A, Caldwell A, Slade Shantz J, et al. What factors influence the production of orthopaedic research in East Africa? A qualitative analysis of interviews. Clin Orthop Relat Res. 2015 Jun;473(6):2120-30. doi: 10.1007/s11999-015-4254-5. Epub 2015 Mar 21. PMID: 25795030; PMCID:PMC4419000. Tchetchik A, Grinstein A, Manes E, Shapira D, Durst R. From research to practice: Which research strategy contributes more to clinical excellence? Comparing high-volume versus high-quality biomedical research. PLoS One. 2015 Jun 24;10(6):e0129259. doi: 10.1371/journal.pone.0129259. PMID: 26107296; PMCID: PMC4480880. Chang LY, Tsai KS, Peng JK, Chen CH, Lin GT, Lin CH, et al. The development of Taiwan Fracture Liaison Service network. Osteoporos Sarcopenia. 2018 Jun;4(2):47-52. doi: 10.1016/j.afos.2018.06.001. Epub 2018 Jun 7. PMID: 30775542; PMCID: PMC6362955. Barton DW, Piple AS, Smith CT, Moskal SA, Carmouche JJ. The clinical impact of fracture liaison services: A systematic review. Geriatr Orthop Surg Rehabil. 2021 Jan 11;12:2151459320979978. doi: 10.1177/2151459320979978. PMID: 33489430; PMCID: PMC7809296

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