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Brenner MJ, Pandian V, Milliren CE, Graham DA, Zaga C, Morris LL, Bedwell JR, Das P, Zhu H, Lee Y. Allen J, Peltz A, Chin K, Schiff BA, Randall DM, Swords C, French D, Ward E, Sweeney JM, Warrillow SJ, Arora A, Narula A, McGrath BA, Cameron TS, Roberson DW. Global Tracheostomy Collaborative: data-driven improvements in patient safety through multidisciplinary teamwork, standardisation, education, and patient partnership. Br J Anaesth 2020; 125:e104-e118. [PMID: 32456776 DOI: 10.1016/j.bja.2020.04.054] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 03/17/2020] [Accepted: 04/17/2020] [Indexed: 01/15/2023] Open
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Cherney RL, Pandian V, Ninan A, Eastman D, Barnes B, King E, Miller B, Judkins S, Smith AE, Smith NM, Hanley J, Creutz E, Carlson M, Schneider KJ, Shever LL, Casper KA, Davidson PM, Brenner MJ. The Trach Trail: A Systems-Based Pathway to Improve Quality of Tracheostomy Care and Interdisciplinary Collaboration. Otolaryngol Head Neck Surg 2020; 163:232-243. [PMID: 32450771 DOI: 10.1177/0194599820917427] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To implement a standardized tracheostomy pathway that reduces length of stay through tracheostomy education, coordinated care protocols, and tracking patient outcomes. METHODS The project design involved retrospective analysis of a baseline state, followed by a multimodal intervention (Trach Trail) and prospective comparison against synchronous controls. Patients undergoing tracheostomy from 2015 to 2016 (n = 60) were analyzed for demographics and outcomes. Trach Trail, a standardized care pathway, was developed with the Iowa Model of Evidence-Based Practice. Trach Trail implementation entailed monthly tracheostomy champion training at 8-hour duration and staff nurse didactics, written materials, and experiential learning. Trach Trail enrollment occurred from 2018 to 2019. Data on demographics, length of stay, and care outcomes were collected from patients in the Trach Trail group (n = 21) and a synchronous tracheostomy control group (n = 117). RESULTS Fifty-five nurses completed Trach Trail training, providing care for 21 patients placed on the Trach Trail and for synchronous control patients with tracheostomy who received routine tracheostomy care. Patients on the Trach Trail and controls had similar demographic characteristics, diagnoses, and indications for tracheostomy. In the Trach Trail group, intensive care unit length of stay was significantly reduced as compared with the control group, decreasing from a mean 21 days to 10 (P < .05). The incidence of adverse events was unchanged. DISCUSSION Introduction of the Trach Trail was associated with a reduction in length of stay in the intensive care unit. Realizing broader patient-centered improvement likely requires engaging respiratory therapists, speech language pathologists, and social workers to maximize patient/caregiver engagement. IMPLICATIONS FOR PRACTICE Standardized tracheostomy care with interdisciplinary collaboration may reduce length of stay and improve patient outcomes.
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Affiliation(s)
- Rebecca L Cherney
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA.,University of Michigan School of Nursing, Ann Arbor, Michigan, USA
| | | | - Ashly Ninan
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA.,Johns Hopkins School of Nursing, Baltimore, Maryland, USA
| | - Debra Eastman
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Brian Barnes
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Elizabeth King
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Brianne Miller
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Samantha Judkins
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Alfred E Smith
- Global Tracheostomy Quality Improvement Collaborative, Raleigh, North Carolina, USA
| | - Nan M Smith
- Global Tracheostomy Quality Improvement Collaborative, Raleigh, North Carolina, USA
| | - Julie Hanley
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Eileen Creutz
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Megan Carlson
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA
| | - Kevin J Schneider
- Department of Otolaryngology-Head and Neck Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | - Leah L Shever
- University of Michigan Hospital and Health Center, Ann Arbor, Michigan, USA.,University of Michigan School of Nursing, Ann Arbor, Michigan, USA
| | - Keith A Casper
- Department of Otolaryngology-Head and Neck Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | | | - Michael J Brenner
- Global Tracheostomy Quality Improvement Collaborative, Raleigh, North Carolina, USA.,Department of Otolaryngology-Head and Neck Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, USA
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Balakrishnan K, Moriarty JP, Rosedahl J, Driscoll CL, Borah BJ. Predictors of High Costs of Care among Otolaryngology Patients. Otolaryngol Head Neck Surg 2019; 161:271-277. [DOI: 10.1177/0194599819838843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Objectives Identify predictors of high-cost otolaryngology care. Study Design Cross-sectional. Setting Tertiary academic multispecialty hospital. Subjects/Methods All patients undergoing ≥1 otolaryngologic procedures from 2011 to 2015. Encounter costs were standardized using previously described methods approximating Medicare reimbursement. Patients were stratified by adult/pediatric and inpatient/outpatient. “Outliers” were defined as total encounter costs ≥95th percentile. Logistic regression measured predictors of outlier status. Results In total, 2433 adult inpatient encounters (95th percentile $57,611), 10,031 adult outpatient encounters ($10,772), 346 pediatric inpatient encounters ($84,639), and 3027 pediatric outpatient encounters ($8978) were included. For adult inpatient and outpatient, isolated head and neck oncologic procedures were the reference group. Among adult inpatients, laryngology and facial plastics procedures predicted higher odds of outlier status (odds ratio [OR] = 4.1 and 7.2). Involvement of multiple otolaryngology subspecialties increased the odds (OR = 4.7). Neck dissection and reconstructive procedures were the most common primary operations for adult inpatient outliers. For adult outpatients, several subspecialties had lower odds than head and neck (OR ≤0.44). Increased comorbidities predicted outliers for adult inpatient care (OR = 1.5); sex, age, race, and ethnicity did not. Cochlear implant was the most common primary operation among adult and pediatric outpatient outliers. Greater subspecialty involvement and increasing age predicted pediatric outpatient outliers (OR = 8.0 and 1.1); younger age and female sex predicted pediatric inpatient outliers (OR = 0.8 and 3.5). Airway procedures dominated pediatric inpatient outliers. Conclusion This is the first large-scale study of high-cost otolaryngology care across multiple subspecialties. Specific procedures and subspecialties and increased comorbidities predicted high-cost care. Contrary to previous studies, patient sex, race, and ethnicity did not.
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Affiliation(s)
- Karthik Balakrishnan
- Department of Otorhinolaryngology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA
- Mayo Clinic Children’s Center, Rochester, Minnesota, USA
| | - James P. Moriarty
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA
| | - Jordan Rosedahl
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA
| | - Colin L. Driscoll
- Department of Otorhinolaryngology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA
| | - Bijan J. Borah
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
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