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Samost-Williams A, Thomas EJ, Lounsbury O, Tannenbaum SI, Salas E, Bell SK. Bringing team science to the ambulatory diagnostic process: how do patients and clinicians develop shared mental models? Diagnosis (Berl) 2024:dx-2024-0115. [PMID: 39428461 DOI: 10.1515/dx-2024-0115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 09/23/2024] [Indexed: 10/22/2024]
Abstract
The ambulatory diagnostic process is potentially complex, resulting in faulty communication, lost information, and a lack of team coordination. Patients and families have a unique position in the ambulatory diagnostic team, holding privileged information about their clinical conditions and serving as the connecting thread across multiple healthcare encounters. While experts advocate for engaging patients as diagnostic team members, operationalizing patient engagement has been challenging. The team science literature links improved team performance with shared mental models, a concept reflecting the team's commonly held knowledge about the tasks to be done and the expertise of each team member. Despite their proven potential to improve team performance and outcomes in other settings, shared mental models remain underexplored in healthcare. In this manuscript, we review the literature on shared mental models, applying that knowledge to the ambulatory diagnostic process. We consider the role of patients in the diagnostic team and adapt the five-factor model of shared mental models to develop a framework for patient-clinician diagnostic shared mental models. We conclude with research priorities. Development, maintenance, and use of shared mental models of the diagnostic process amongst patients, families, and clinicians may increase patient/family engagement, improve diagnostic team performance, and promote diagnostic safety.
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Affiliation(s)
- Aubrey Samost-Williams
- Anesthesiology, Critical Care, and Pain Medicine, 12340 The University of Texas Health Science Center at Houston , Houston, TX, USA
| | - Eric J Thomas
- Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | | | | | - Sigall K Bell
- Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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Wakefield BJ, Farag A, Paez MB, Stewart GL. Perceptions of Responsibilities by Primary Care Staff in a Patient-Centered Medical Home. J Nurs Adm 2024; 54:333-340. [PMID: 38767524 DOI: 10.1097/nna.0000000000001435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
OBJECTIVE To examine the extent to which Veterans Health Administration (VHA) Patient-Aligned Care Team (PACT) members have a shared understanding/ agreement upon and enact responsibilities within the team. BACKGROUND The PACT model focuses on team-based care management. However, lack of a shared understanding of team-based care management roles and responsibilities makes system-wide implementation a challenge. METHODS Quantitative and qualitative analysis of national survey data collected in 2022 from primary care personnel working in a VHA-affiliated primary care facility. RESULTS Significant discrepancies exist in responses about what core team members say they do and what others perceive they should be doing, indicating either a lack of agreement, knowledge, or training about what core team members should do. CONCLUSIONS Successful implementation of a team-based model requires adequate support and training for teamwork including shared mental models to work according to their clinical competency. Clear guidance and communication of expectations are critical for role clarity.
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Affiliation(s)
- Bonnie J Wakefield
- Author Affiliations: Investigator (Dr Wakefield), Veterans Integrated Service Network 23, Primary Care Analytic Team (PCAT), Iowa City VA Healthcare System, Associate Professor (Dr Wakefield), Sinclair School of Nursing, University of Missouri, Columbia; Investigator (Dr Farag), Veterans Integrated Service Network 23, Primary Care Analytic Team (PCAT), Iowa City VA Healthcare System, and Associate Professor (Dr Farag), University of Iowa College of Nursing; Ethnographic Methods and Implementation Core (EMIC) Program Manager (Paez), Veterans Integrated Service Network 23, Primary Care Analytic Team (PCAT), Iowa City VA Healthcare System, and VA Office of Patient Care Services (EMIC), Program Manager (Paez), The Comprehensive Access and Delivery Research and Evaluation (CADRE), Center at the Iowa City VA Healthcare System; Director (Dr Stewart), Veterans Integrated Service Network 23, Primary Care Analytic Team (PCAT), Iowa City VA Healthcare System, and VA Office of Patient Care Services; Professor (Dr Stewart), Tippie College of Business, University of Iowa
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Krishnan P, Jawale N, Sodikoff A, Malfa SR, McCarthy K, Strickrodt LM, D’Agrosa D, Pickard A, Parton LA, Singh M. Synergizing Safety: A Customized Approach to Curtailing Unplanned Extubations through Shared Decision-making in the NICU. Pediatr Qual Saf 2024; 9:e729. [PMID: 38751892 PMCID: PMC11093562 DOI: 10.1097/pq9.0000000000000729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 03/24/2024] [Indexed: 05/18/2024] Open
Abstract
Background Unplanned Extubation (UE) remains an important patient safety issue in the Neonatal Intensive Care Unit. Our SMART AIM was to decrease the rate of UE by 10% from the baseline from January to December 2022 by emphasizing collaboration among healthcare professionals and through the use of shared decision-making. Methods We established an interdisciplinary Quality Improvement team composed of nurses, respiratory therapists, and physicians (MDs). The definition of UE was standardized. UE was audited using an apparent cause analysis form to discern associated causes and pinpoint areas for improvement. Interventions were implemented in a step-by-step fashion and reviewed monthly using the model for improvement. A shared decision-making approach fostered collaborative problem-solving. Results Our baseline UE rate was 2.3 per 100 ventilator days. Retaping, general bedside care, and position change accounted for over 50% of the UE events in 2022. The rate of UE was reduced by 48% by the end of December 2022. We achieved special-cause variation by the end of March 2023. Conclusions The sole education of medical and nursing providers about various approaches to decreasing unnecessary retaping was ineffective in reducing UE rates. Shared decision-making incorporating inputs from nurses, respiratory therapists, and MDs led to a substantial reduction in the UE rate and underscores the potential of systematic evaluation of risk factors combined with collaborative best practices.
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Affiliation(s)
- Parvathy Krishnan
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Nilima Jawale
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
- Department of Pediatrics, State University of New York Upstate Medical University
| | - Adam Sodikoff
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Susan R. Malfa
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Kathleen McCarthy
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Lisa M. Strickrodt
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Diana D’Agrosa
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Alexandra Pickard
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Lance A. Parton
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
| | - Meenakshi Singh
- From the Department of Neonatal-Perinatal Medicine, Westchester Medical Center, and New York Medical College, Valhalla, N.Y
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Bonaconsa C, Mbamalu O, Surendran S, George A, Mendelson M, Charani E. Optimizing infection control and antimicrobial stewardship bedside discussion: a scoping review of existing evidence on effective healthcare communication in hospitals. Clin Microbiol Infect 2024; 30:336-352. [PMID: 38101471 DOI: 10.1016/j.cmi.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/15/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND The link between healthcare worker (HCW) communication, teamwork and patient safety is well-established. Infection prevention and control (IPC) and antimicrobial stewardship (AMS) require multidisciplinary teamwork and communication. OBJECTIVES We conducted a scoping review of published evidence on effective mechanisms of HCW team communication in hospitals with the intention of transferring and tailoring learning to IPC and AMS team communication. METHODS PubMed, Scopus, Web of Science, and CINAHL were searched for studies that investigated HCW team communication across in-hospital patient pathways. Studies published between 2000 and 2021 that provided evidence on/or described the effect of communication on team and patient outcomes in hospital were included. Through a process of inductive qualitative content analysis, key themes in the included studies were identified. RESULTS Of 537 studies identified, 53 (from high-income countries) were included in the data extraction. Fifty one percent (27/53) of studies were conducted in high acuity settings e.g., intensive care units. Standardizing or structuring the content and/or process of team communication was the most common goal of interventions (34/53, 64%). The key outcome measures were either team communication focused (25/34,74%) or patient and process outcome focused (8/34, 24%), such as reduced length of mechanical ventilation days, length of hospital stay, and shorter empiric antibiotic duration. Four studies (4/53, 8%) associated improved communication with positive IPC and AMS outcome measures. Mixed method intervention studies primarily facilitated collaborative input from HCWs and applied structures to standardize the content of patient care discussions, whereas observational studies describe component of team communication. CONCLUSIONS A communication strategy that formalizes input from multidisciplinary team members can lead to optimized and consistent clinical discussion including in IPC and AMS-related care. Although we were unable to assess the effectiveness of interventions, the existing evidence suggests that optimizing team communication can have a positive effect on infection-related patient outcomes.
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Affiliation(s)
- Candice Bonaconsa
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa.
| | - Oluchi Mbamalu
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
| | - Surya Surendran
- Department of Infection Control and Epidemiology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India; Department of Health Systems and Equity, The George Institute for Global Health, Hyderabad, India
| | - Anu George
- Department of Infection Control and Epidemiology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India
| | - Marc Mendelson
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
| | - Esmita Charani
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa; Department of Infection Control and Epidemiology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham University, Kochi, Kerala, India; Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom
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Falcetta MRR, Rados DV, Molina K, Oliveira D, Pozza CD, Schaan BD. Length of stay in the clinical wards in a hospital after introducing a multiprofessional discharge team: An effectiveness improvement report. J Hosp Med 2024; 19:101-107. [PMID: 38263757 DOI: 10.1002/jhm.13286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/19/2023] [Accepted: 01/09/2024] [Indexed: 01/25/2024]
Abstract
INTRODUCTION Emergency overcrowding is a problem in hospitals worldwide. The expansion of wards has limitations. Hospital administrative leaders are constantly looking for opportunities to improve the efficiency of resource use. METHODS This is a care improvement study with a quasi-experimental design. We created a hospital discharge team (HDT) to solve the issues of prolonged hospital stays. The main interventions were active search and resolution of prolongation of stay and multi-disciplinary huddles. We developed strategies with different hospital units to expedite the processing of patients near discharge. Length of stay (LOS), morning hospital discharges, readmission rates, and bed usage were compared before (2018) and after (2019) HDT implementation. RESULTS There was a reduction in the mean LOS of 1.8 days (95% confidence interval [CI] -0.9 to -2.6; p < .001). The rate of hospital discharges before noon increased by 7.0% (95% CI 4%-11%; p < .001). The readmission rate was similar between 2018 and 2019 (+0.7%; 95% CI -0.1% to 1.9%; p = .358). We observed higher bed turnover, with 0.5 more hospitalizations per bed per month (95% CI 0.1-0.7; p = .01; mean of 3.7 ± 0.3 in 2018 and 4.1 ± 0.3 in 2019). CONCLUSION HDT brought benefits to our hospital, reducing the length of stay and increasing bed turnover. However, there is a need for a team focused on the project and support from managers to overcome resistance and integrate units until they are fully operational.
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Affiliation(s)
- Mariana R R Falcetta
- Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Dimitris V Rados
- Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Karine Molina
- Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Daiana Oliveira
- Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Caroline Dalla Pozza
- Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Beatriz D Schaan
- Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Khayal IS, Butcher RL, McLeish CH, Shentu Y, Barnato AE. Organizational Intent, Organizational Structures, and Reviewer Mental Models Influence Mortality Review Processes. Mayo Clin Proc Innov Qual Outcomes 2023; 7:515-523. [PMID: 37969423 PMCID: PMC10632187 DOI: 10.1016/j.mayocpiqo.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2023] Open
Abstract
Objective To identify the factors that influence the mortality review process at health systems, including how mortality review is conducted, cases are adjudicated, and results are used. Methods We conducted a qualitative analysis of the mortality review processes of 6 US health systems from February 1, 2021 to June 31, 2021. The data sources included individual and small-group semi-structured interviews with mortality review team members and a content analysis of site artifacts (eg, guiding principles, chart abstraction forms, review workflows, and clinical pathways developed from past mortality reviews). We analyzed each site's mortality review process, goals and incentives for mortality review, historical and evolving aspects of mortality review, personnel involved, and post-review use of findings. Results Across the 6 systems, we interviewed a total of 24 mortality review experts and analyzed 26 site documents. We identified 3 thematic factors that influence mortality review processes: organizational intent, organizational structures for mortality review, and the mental models of individuals involved in the review process. Two subthemes emerged within organizational intent: (1) identifying preventable deaths to lower (clinical or financial) risk and (2) using death cases to guide system improvement. Sites varied in governance and decision rights concerning mortality review and adjudication, with 2 subthemes within organizational structures: (1) centralized-hierarchical and (2) decentralized or multidisciplinary. The analysis of mental models of participating reviewers revealed 2 themes: (1) confirmation of preventability and (2) identification of patterns or "signals." Conclusion Understanding the factors that influence mortality review allows health systems to better leverage mortality review for institutional improvement and to develop training that builds shared mental models to enhance the review process.
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Affiliation(s)
- Inas S. Khayal
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH
- Department of Computer Science, Dartmouth College, Hanover, NH
| | - Rebecca L. Butcher
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
- Center for Program Design and Evaluation, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Colin H. McLeish
- Geisel School of Medicine at Dartmouth, Hanover, NH
- Tuck School of Business, Hanover, NH
| | - Yujia Shentu
- Geisel School of Medicine at Dartmouth, Hanover, NH
- Department of Neurosurgery, The University of Texas McGovern Medical School, Houston
| | - Amber E. Barnato
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
- Section of Palliative Care, Department of Medicine, Dartmouth Hitchcock Medical Center, Lebanon, NH
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Verhagen MJ, de Vos MS, van Schaik J, van der Vorst JR, Schepers A, Marang-van de Mheen PJ, Hamming JF. Surgical team dynamics in a reflective team meeting to improve quality of care: qualitative analysis of a shared mental model. Br J Surg 2023; 110:1271-1275. [PMID: 37190915 PMCID: PMC10480032 DOI: 10.1093/bjs/znad111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 01/27/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Merel J Verhagen
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - Marit S de Vos
- Directorate of Quality and Patient Safety, Leiden University Medical Centre, Leiden, the Netherlands
| | - Jan van Schaik
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - Joost R van der Vorst
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - Abbey Schepers
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Jaap F Hamming
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
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Ahsan A, Rahmawati IN, Noviyanti LW, Harwiati Ningrum E, Nasir A, Harianto S. The Effect of the Application of the Team-STEPPS-Based Preceptorship Guidance Model on the Competence of Nursing Students. ADVANCES IN MEDICAL EDUCATION AND PRACTICE 2023; 14:817-826. [PMID: 37534334 PMCID: PMC10392907 DOI: 10.2147/amep.s416847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 07/21/2023] [Indexed: 08/04/2023]
Abstract
Objective Student competence is an important topic of discussion during the implementation of counseling in the clinic. The purpose of this study was to analyze the effect of the Team-STEPPS-based preceptorship guidance model on student competency. Methods A comparative study was used to analyze the quantitative data. Participants were clinical practice students at "Ngudi Waluyo" Public Hospital with a total of 92 registered students divided into treatment and control groups. The Wilcoxon Signed Rank Test and the Mann-Whitney U-Test were used to assess differences between the intervention and control groups. Results There were post-test differences between the intervention group and the control group, namely clinical competence p-value (0.003), nursing management p (0.000), technical competence p (0.008), self-management p (0.000), and care-oriented patients p (0.000). Conclusion The Team-STEPPS-based preceptorship guidance model is very important in increasing student competency, not only in mastering clinical competence, but also in mastering technical skill competencies, nursing management, self-management, and patient-oriented care skills, and therefore, can increase student independence.
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Affiliation(s)
- Ahsan Ahsan
- Department of Nursing, Faculty of Health Sciences, Brawijaya University, Malang, Indonesia
| | - Ike Nesdia Rahmawati
- Department of Nursing, Faculty of Health Sciences, Brawijaya University, Malang, Indonesia
| | - Linda Wieke Noviyanti
- Department of Nursing, Faculty of Health Sciences, Brawijaya University, Malang, Indonesia
| | - Evi Harwiati Ningrum
- Department of Nursing, Faculty of Health Sciences, Brawijaya University, Malang, Indonesia
| | - Abd Nasir
- Faculty of Vocational Studies, Airlangga University, Surabaya, Indonesia
| | - Susilo Harianto
- Faculty of Vocational Studies, Airlangga University, Surabaya, Indonesia
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Piazza KM, Ashcraft LE, Rose L, Hall DE, Brown RT, Bowen MEL, Mavandadi S, Brecher AC, Keddem S, Kiosian B, Long JA, Werner RM, Burke RE. Study protocol: Type III hybrid effectiveness-implementation study implementing Age-Friendly evidence-based practices in the VA to improve outcomes in older adults. Implement Sci Commun 2023; 4:57. [PMID: 37231459 PMCID: PMC10209584 DOI: 10.1186/s43058-023-00431-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES Standards for Reporting Implementation Studies (see attached).
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Affiliation(s)
- Kirstin Manges Piazza
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA.
| | - Laura Ellen Ashcraft
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Liam Rose
- Stanford-Surgery Policy Improvement Research & Education Center, Stanford University, Stanford, CA, USA
- Health Economics Resource Center, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Daniel E Hall
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rebecca T Brown
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Mary Elizabeth Libbey Bowen
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Education, and Clinical Center, VISN4 Mental Illness Research, Corporal Michael JCrescenz VA Medical Center, Philadelphia, PA, USA
| | - Shahrzad Mavandadi
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- School of Nursing, University of Delaware, Newark, DE, USA
| | | | - Shimrit Keddem
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Family Medicine & Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Bruce Kiosian
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Judith A Long
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel M Werner
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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Trivedi SP, Corderman S, Berlinberg E, Schoenthaler A, Horwitz LI. Assessment of Patient Education Delivered at Time of Hospital Discharge. JAMA Intern Med 2023; 183:417-423. [PMID: 36939674 PMCID: PMC10028544 DOI: 10.1001/jamainternmed.2023.0070] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 01/05/2023] [Indexed: 03/21/2023]
Abstract
Importance Patient education at time of hospital discharge is critical for smooth transitions of care; however, empirical data regarding discharge communication are limited. Objective To describe whether key communication domains (medication changes, follow-up appointments, disease self-management, red flags, question solicitation, and teach-back) were addressed at the bedside on the day of hospital discharge, by whom, and for how long. Design, Setting, and Participants This quality improvement study was conducted from September 2018 through October 2019 at inpatient medicine floors in 2 urban, tertiary-care teaching hospitals and purposefully sampled patients designated as "discharge before noon." Data analysis was performed from September 2018 to May 2020. Exposures A trained bedside observer documented all content and duration of staff communication with a single enrolled patient from 7 am until discharge. Main Outcomes and Measures Presence of the key communication domains, role of team members, and amount of time spent at the bedside. Results Discharge days for 33 patients were observed. Patients had a mean (SD) age of 63 (18) years; 14 (42%) identified as White, 15 (45%) were female, and 6 (18%) had a preferred language of Spanish. Thirty patients were discharged with at least 1 medication change. Of these patients, 8 (27%) received no verbal instruction on the change, while 16 of 30 (53%) were informed but not told the purpose of the changes. About half of the patients (15 of 31, 48%) were not told the reason for follow-up appointments, and 18 of 33 (55%) were not given instructions on posthospital disease self-management. Most patients (27 of 33, 81%) did not receive guidance on red-flag signs. While over half of the patients (19 of 33, 58%) were asked if they had any questions, only 1 patient was asked to teach back his understanding of the discharge plan. Median (IQR) total time spent with patients on the day of discharge by interns, senior residents, attending physicians, and nurses was 4.0 (0.75-6.0), 1.0 (0-2.0), 3.0 (0.5-7.0), and 22.5 (15.5-30.0) minutes, respectively. Most of the time was spent discussing logistics rather than discharge education. Conclusions and Relevance In this quality improvement study, patients infrequently received discharge education in key communication domains, potentially leaving gaps in patient knowledge. Interventions to improve the hospital discharge process should address the content, method of delivery, and transparency among team members regarding patient education.
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Affiliation(s)
- Shreya P. Trivedi
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Carl J. Shapiro Institute for Education and Research, Boston, Massachusetts
| | - Sara Corderman
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elyse Berlinberg
- NYU Grossman School of Medicine, New York University, New York, New York
| | - Antoinette Schoenthaler
- Institute for Excellence in Health Equity, Center for Healthful Behavior Change, Department of Population Health, NYU Langone Health, New York, New York
| | - Leora I. Horwitz
- Department of Population Health, NYU Grossman School of Medicine, New York, New York
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11
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Hess CW, Rosen MA, Simons LE. Looking inward to improve pediatric chronic pain outcomes: a call for team science research. Pain 2023; 164:690-697. [PMID: 36637136 PMCID: PMC10879964 DOI: 10.1097/j.pain.0000000000002836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/22/2022] [Indexed: 01/14/2023]
Affiliation(s)
- Courtney W. Hess
- Stanford University School of Medicine; Department of Anesthesiology, Perioperative, & Pain Medicine
| | - Michael A. Rosen
- Johns Hopkins University School of Medicine; Department of Anesthesiology and Critical Care Medicine
| | - Laura E. Simons
- Stanford University School of Medicine; Department of Anesthesiology, Perioperative, & Pain Medicine
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12
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Arney J, Gray C, Walling AM, Clark JA, Smith D, Melcher J, Asch S, Kanwal F, Naik AD. Two mental models of integrated care for advanced liver disease: qualitative study of multidisciplinary health professionals. BMJ Open 2022; 12:e062836. [PMID: 36691142 PMCID: PMC9445787 DOI: 10.1136/bmjopen-2022-062836] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/16/2022] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVES The purpose of this paper is to present two divergent mental models of integrated advanced liver disease (AdvLD) care among 26 providers who treat patients with AdvLD. SETTING 3 geographically dispersed United States Veterans Health Administration health systems. PARTICIPANTS 26 professionals (20 women and 6 men) participated, including 9 (34.6%) gastroenterology, hepatology, and transplant physicians, 2 (7.7%) physician assistants, 7 (27%) nurses and nurse practitioners, 3 (11.5%) social workers and psychologists, 4 (15.4%) palliative care providers and 1 (3.8%) pharmacist. MAIN OUTCOME MEASURES We conducted qualitative in-depth interviews of providers caring for patients with AdvLD. We used framework analysis to identify two divergent mental models of integrated AdvLD care. These models vary in timing of initiating various constituents of care, philosophy of integration, and supports and resources needed to achieve each model. RESULTS Clinicians described integrated care as an approach that incorporates elements of curative care, symptom and supportive care, advance care planning and end-of-life services from a multidisciplinary team. Analysis revealed two mental models that varied in how and when these constituents are delivered. One mental model involves sequential transitions between constituents of care, and the second mental model involves synchronous application of the various constituents. Participants described elements of teamwork and coordination supports necessary to achieve integrated AdvLD care. Many discussed the importance of having a multidisciplinary team integrating supportive care, symptom management and palliative care with liver disease care. CONCLUSIONS Health professionals agree on the constituents of integrated AdvLD care but describe two competing mental models of how these constituents are integrated. Health systems can promote integrated care by assembling multidisciplinary teams, and providing teamwork and coordination supports, and training that facilitates patient-centred AdvLD care.
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Affiliation(s)
- Jennifer Arney
- Department of Sociology, University of Houston Clear Lake, Houston, Texas, USA
- VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Caroline Gray
- Center for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
| | - Anne M Walling
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA
- Department of Medicine, Division of General Internal Medicine and Health Services Research, University of California at Los Angeles, Los Angeles, California, USA
| | - Jack A Clark
- Center for Health Quality, Outcomes, and Economic Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, Massachusetts, USA
- Department of Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Donna Smith
- VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
- Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, Texas, USA
| | - Jennifer Melcher
- VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
- Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, Texas, USA
| | - Steven Asch
- Center for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
- Division of General Medical Disciplines, Stanford School of Medicine, Stanford, California, USA
| | - Fasiha Kanwal
- VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
- Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, Texas, USA
- Department of Medicine, Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas, USA
| | - Aanand D Naik
- VA HSR&D Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
- Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, Texas, USA
- University of Texas Health Consortium on Aging, University of Texas Health Science Center, Houston, Texas, USA
- Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center, Houston, Texas, USA
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13
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Westphaln KK, Manges KA, Regoeczi WC, Johnson J, Ronis SD, Spilsbury JC. Facilitators and barriers to Children's Advocacy Center-based multidisciplinary teamwork. CHILD ABUSE & NEGLECT 2022; 131:105710. [PMID: 35728288 DOI: 10.1016/j.chiabu.2022.105710] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 05/09/2022] [Accepted: 06/08/2022] [Indexed: 05/22/2023]
Abstract
BACKGROUND Children's Advocacy Centers (CACs) use a multidisciplinary team (MDT) approach to initiate, coordinate, and provide essential multisector services for children and families who experience child abuse. Despite rapid dissemination of the CAC model across the world, little is known about characteristics associated with CAC-based teamwork. OBJECTIVE Given that teamwork characteristics may impact the outcomes of child and families who interact with CACs, the purpose of this qualitative study was to explore experiences, facilitators, and barriers to CAC-based multidisciplinary teamwork. PARTICIPANTS, SETTING, & METHODS We conducted semi-structured interviews with members of a MDT at a Midwestern CAC. RESULTS Findings suggest that MDT teamwork was fostered by clear communication, responsiveness, commitment, openness, and appropriate resources whereas MDT teamwork was hindered by role confusion, conflicting perspectives, poor communication, low staffing, complex politics, and structural barriers. CONCLUSIONS Characteristics of CAC-based teamwork may vary from the teamwork of other types of child protection teams. Interventions that enhance CAC-based teamwork may optimize the function of CAC MDTs and improve outcomes for children and families who engage with CACs.
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Affiliation(s)
- Kristi K Westphaln
- University of California Los Angeles, School of Nursing, Los Angeles, CA 90095, USA; University Hospitals Center for Child Health and Policy, Cleveland, OH, USA.
| | - Kirstin A Manges
- National Clinician Scholars Program, University of Pennsylvania, Philadelphia, PA, USA; Center for Health Equity Promotion and Research, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA.
| | - Wendy C Regoeczi
- Cleveland State University, Department of Criminology, Anthropology, and Sociology, Cleveland, OH, USA.
| | | | - Sarah D Ronis
- University Hospitals Center for Child Health and Policy, Cleveland, OH, USA; Case Western Reserve University, School of Medicine, Department of Pediatrics, Cleveland, OH, USA.
| | - James C Spilsbury
- Case Western Reserve University, School of Medicine, Department of Population and Quantitative Health Sciences, Cleveland, OH, USA.
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Healthcare Professionals' Perceptions of Function-Focused Care Education for Nursing Home Practitioners. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18147587. [PMID: 34300036 PMCID: PMC8304022 DOI: 10.3390/ijerph18147587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 11/17/2022]
Abstract
A nursing home (NH) care environment necessitates a shared cognition-based education model that maintains effective function-focused care (FFC). This study’s aim was to explore healthcare professionals’ perceptions of function-focused care education for the development of an education model using a shared mental model (SMM) in NHs. Semi-structured interviews with 30 interdisciplinary practitioners from four different professions (nurses, physical therapists, occupational therapists, and social workers) and focus group interviews with 12 experts were conducted. Data were analyzed using content analysis, and the education model development was guided by the shared mental models for data interpretation and formation. Our FFC interdisciplinary educational model incorporates four key learning components: learning contents, educational activities, educational goals/outcome, and environment, and four types of SMMs: team, task, team interaction, and equipment. As for educational contents, a team’s competencies with FFC were found to be team knowledge (physical and psychosocial functional care), team skills to perform FFC successfully (motivation, coaching and supporting, managing discomfort), and team attitude (possessing philosophy perceptions regarding FFC). As for learning outcomes, the shared cognition-based education model suggests not only the evaluation of practitioners, but also the assessment of residents’ aspects.
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15
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Wise S, Duffield C, Fry M, Roche M. A team mental model approach to understanding team effectiveness in an emergency department: A qualitative study. J Health Serv Res Policy 2021; 27:14-21. [PMID: 34251863 DOI: 10.1177/13558196211031285] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVES To demonstrate how the team mental model concept can broaden our understanding of team effectiveness in health care by exploring the knowledge that underpins it, and the workplace conditions that sustain it in a metropolitan emergency department (ED) in Sydney, Australia. METHODS This study draws on accounts of 19 ED clinicians (registered nurses, doctors and nurse practitioners) of their teamwork practice and perceptions of their team's effectiveness through semi-structured interviews. Analysis was conducted in two stages. A thematic analysis was followed by a template analysis using the a priori themes of task, team, team process and goal knowledge to specify the content of the team's mental model. RESULTS The content of the ED team's mental model revealed that the knowledge the team employed to coordinate their work was deeply embedded in the team's tasks and the workplace context. Team effectiveness not only relied on how well team members coordinate, but also their ability to perform their own role effectively and efficiently. Three workplace conditions were identified as enablers to individuals acquiring the knowledge needed to work effectively in the team: stability in team membership; workplace experience; and the spatial-temporal conditions of emergency work where permanent emergency doctors and nurses executed their tasks concurrently, regularly interacted and shared a common goal. CONCLUSIONS Getting health care teams 'on the same page' is a long-standing challenge. This study suggests that solutions may lay in the organisation of health care work, creating team stability and opportunities for team members to interact that allows a team mental model to emerge.
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Affiliation(s)
- Sarah Wise
- Senior Research Fellow, Centre for Health Economics Research and Evaluation, University of Technology Sydney, Australia
| | - Christine Duffield
- Emeritus Professor, Faculty of Health, University of Technology Sydney, Australia.,Professor of Nursing and Health Services Management, School of Nursing and Midwifery, Edith Cowan University, Australia
| | - Margaret Fry
- Professor of Nursing, Faculty of Health, University of Technology Sydney, Australia.,Director, Research and Practice Development Nursing and Midwifery Directorate, Northern Sydney Local Health District, Australia
| | - Michael Roche
- Professor of Mental Health Nursing, School of Nursing, Midwifery, and Public Health, University of Canberra, Australia
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16
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Holtrop JS, Scherer LD, Matlock DD, Glasgow RE, Green LA. The Importance of Mental Models in Implementation Science. Front Public Health 2021; 9:680316. [PMID: 34295871 PMCID: PMC8290163 DOI: 10.3389/fpubh.2021.680316] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 06/10/2021] [Indexed: 01/11/2023] Open
Abstract
Implementation science is concerned with the study of adoption, implementation and maintenance of evidence-based interventions and use of implementation strategies to facilitate translation into practice. Ways to conceptualize and overcome challenges to implementing evidence-based practice may enhance the field of implementation science. The concept of mental models may be one way to view such challenges and to guide selection, use, and adaptation of implementation strategies to deliver evidence-based interventions. A mental model is an interrelated set of beliefs that shape how a person forms expectations for the future and understands the way the world works. Mental models can shape how an individual thinks about or understands how something or someone does, can, or should function in the world. Mental models may be sparse or detailed, may be shared among actors in implementation or not, and may be substantially tacit, that is, of limited accessibility to introspection. Actors' mental models can determine what information they are willing to accept and what changes they are willing to consider. We review the concepts of mental models and illustrate how they pertain to implementation of an example intervention, shared decision making. We then describe and illustrate potential methods for eliciting and analyzing mental models. Understanding the mental models of various actors in implementation can provide crucial information for understanding, anticipating, and overcoming implementation challenges. Successful implementation often requires changing actors' mental models or the way in which interventions or implementation strategies are presented or implemented. Accurate elicitation and understanding can guide strategies for doing so.
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Affiliation(s)
| | - Laura D Scherer
- School of Medicine, University of Colorado, Aurora, CO, United States
| | - Daniel D Matlock
- School of Medicine, University of Colorado, Aurora, CO, United States
| | - Russell E Glasgow
- School of Medicine, University of Colorado, Aurora, CO, United States
| | - Lee A Green
- Department of Family Medicine, University of Alberta, Edmonton, AB, Canada
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17
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Manges KA, Wallace AS, Groves PS, Schapira MM, Burke RE. Ready to Go Home? Assessment of Shared Mental Models of the Patient and Discharging Team Regarding Readiness for Hospital Discharge. J Hosp Med 2021; 16:326-332. [PMID: 33357321 PMCID: PMC8025658 DOI: 10.12788/jhm.3464] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/30/2020] [Accepted: 05/08/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND A critical task of the inpatient interprofessional team is readying patients for discharge. Assessment of shared mental model (SMM) convergence can determine how much team members agree about patient discharge readiness and how their mental models align with the patient's self-assessment. OBJECTIVE Determine the convergence of interprofessional team SMMs of hospital discharge readiness and identify factors associated with these assessments. DESIGN We surveyed interprofessional discharging teams and each team's patient at time of hospital discharge using validated tools to capture their SMMs. PARTICIPANTS Discharge events (N = 64) from a single hospital consisting of the patient and their team (nurse, coordinator, physician). MEASURES Clinician and patient versions of the validated Readiness for Hospital Discharge Scales/Short Form (RHDS/SF). We measured team convergence by comparing the individual clinicians' scores on the RHDS/SF, and we measured team-patient convergence as the absolute difference between the Patient-RHDS/SF score and the team average score on the Clinician-RHDS/SF. RESULTS Discharging teams assessed patients as having high readiness for hospital discharge (mean score, 8.5 out of 10; SD, 0.91). The majority of teams had convergent SMMs with high to very high interrater agreement on discharge readiness (mean r*wg(J), 0.90; SD, 0.10). However, team-patient SMM convergence was low: Teams overestimated the patient's self-assessment of readiness for discharge in 48.4% of events. We found that teams reporting higher-quality teamwork (P = .004) and bachelor's level-trained nurses (P < .001) had more convergent SMMs with the patient. CONCLUSION Measuring discharge teams' SMM of patient discharge readiness may represent an innovative assessment tool and potential lever to improve the quality of care transitions.
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Affiliation(s)
- Kirstin A Manges
- National Clinician Scholars Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Andrea S Wallace
- Division of Health Systems and Community Based Care, College of Nursing, University of Utah, Salt Lake City, Utah
| | | | - Marilyn M Schapira
- Center for Health Equity Promotion and Research, Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robert E Burke
- Center for Health Equity Promotion and Research, Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania
- Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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18
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Ayele R, Manges KA, Leonard C, Lee M, Galenbeck E, Molla M, Levy C, Burke RE. How Context Influences Hospital Readmissions from Skilled Nursing Facilities: A Rapid Ethnographic Study. J Am Med Dir Assoc 2021; 22:1248-1254.e3. [PMID: 32943342 PMCID: PMC7956149 DOI: 10.1016/j.jamda.2020.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 07/30/2020] [Accepted: 08/02/2020] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Improving hospital discharge processes and reducing adverse outcomes after hospital discharge to skilled nursing facilities (SNFs) are gaining national recognition. However, little is known about how the social-contextual factors of hospitals and their affiliated SNFs may influence the discharge process and drive variations in patient outcomes. We sought to categorize contextual drivers that vary between high- and low-performing hospitals in older adult transition from hospitals to SNFs. DESIGN To identify contextual drivers, we used a rapid ethnographic approach with interviews and direct observations of hospital and SNF clinicians involved in discharging patients. We conducted thematic analysis to categorize contextual factors and compare differences in high- and low-performing sites. SETTING AND PARTICIPANTS We stratified hospitals on 30-day hospital readmission rates from SNFs and used convenience sampling to identify high- and low-performing sites and associated SNFs. The final sample included 4 hospitals (n = 2 high performing, n = 2 low performing) and affiliated SNFs (n = 5) with 148 hours of observations. MEASURES Central themes related to how contextual factors influence variations in high- and low-performing hospitals. RESULTS We identified 3 main contextual factors that differed across high- and low-performing hospitals and SNFs: team dynamics, patient characteristics, and organizational context. First, we observed high-quality communication, situational awareness, and shared mental models among team members in high-performing sites. Second, the types of patients cared for at high-performing hospitals had better insurance coverage that made it feasible for clinicians to place patients based on their needs instead of financial abilities. Third, at high-performing hospitals a more engaged staff in the transition process and building rapport with SNFs characterized smooth transitions from hospitals to SNFs. CONCLUSIONS AND IMPLICATIONS Contextual factors distinguish high- and low-performing hospitals in transitions to SNF and can be used to develop interventions to reduce adverse outcomes in transitions.
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Affiliation(s)
- Roman Ayele
- Denver-Seattle Center of Innovation, Eastern Colorado Healthcare System, Aurora, CO, USA; University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.
| | - Kirstin A Manges
- National Clinician Scholar, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Hospital Medicine Section, Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Chelsea Leonard
- Denver-Seattle Center of Innovation, Eastern Colorado Healthcare System, Aurora, CO, USA
| | - Marcie Lee
- Denver-Seattle Center of Innovation, Eastern Colorado Healthcare System, Aurora, CO, USA
| | - Emily Galenbeck
- Denver-Seattle Center of Innovation, Eastern Colorado Healthcare System, Aurora, CO, USA
| | - Mithu Molla
- Hospital Medicine Section, UC Davis Health System, Sacramento, CA, USA
| | - Cari Levy
- Denver-Seattle Center of Innovation, Eastern Colorado Healthcare System, Aurora, CO, USA; University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Robert E Burke
- Hospital Medicine Section, Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Center for Health Equity Research and Promotion (CHERP), Corporal Crescenz VA Medical Center, Philadelphia, PA, USA
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Anderson JE, Lavelle M, Reedy G. Understanding adaptive teamwork in health care: Progress and future directions. J Health Serv Res Policy 2020; 26:208-214. [PMID: 33327787 PMCID: PMC8182291 DOI: 10.1177/1355819620978436] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Health care teamwork is a vital part of clinical work and patient care but is poorly
understood. Despite poor teamwork being cited as a major contributory factor to adverse
events, we lack vital knowledge about how teamwork can be improved. Teams in health care
are diverse in structure and purpose, and most patient care depends on the ability of
different professionals to coordinate their actions. Research in this area has narrowly
defined health care teams, focused mainly on a small range of settings and activities and
addressed a limited range of research questions. We argue that a new approach to teamwork
research is needed and make three recommendations. First, the temporal and dynamic
features of teamwork should be studied to understand how teamwork unfolds sequentially.
Second, contextual influences should be integrated into study designs, including the
organization of work, tasks, patients, organisational structures, and health care system
factors. Finally, exploratory, rather than confirmatory, research designs are needed to
analyse the complex patterns of social interaction inherent in health care work, to build
our theoretical understanding of health care teams and their work, and ultimately to
develop effective interventions to support better teamwork for the benefit of
patients.
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Affiliation(s)
- Janet E Anderson
- Professor of the Quality of Care for Older People, School of Health Sciences, City University of London, UK
| | - Mary Lavelle
- Senior Research Fellow, School of Health Sciences, City University of London, UK
| | - Gabriel Reedy
- Reader in Clinical Education, Faculty of Life Sciences and Medicine, King's College London, UK
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Qu J, Zhu Y, Cui L, Yang L, Lai Y, Ye X, Qu B. Psychometric properties of the Chinese version of the TeamSTEPPS teamwork perceptions questionnaire to measure teamwork perceptions of Chinese residents: a cross-sectional study. BMJ Open 2020; 10:e039566. [PMID: 33191259 PMCID: PMC7668380 DOI: 10.1136/bmjopen-2020-039566] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES The purpose of this research was to evaluate the psychometric properties of the TeamSTEPPS Teamwork Perception Questionnaire (T-TPQ) among the Chinese residents. DESIGN Cross-sectional study. SETTING A clinical hospital of the China Medical University in Liaoning Province, China. PARTICIPANTS A total of 664 residents were enrolled in this research. The valid response rate was 83.0% (664 of 800 residents). MAIN OUTCOME MEASURES Internal consistency and test-retest reliability were used to assess the reliability of the questionnaire. The construct validity of the Chinese T-TPQ was evaluated by confirmatory factor analysis. Furthermore, the concurrent, convergent and discriminant validity were analysed. RESULTS Cronbach's α coefficient of the T-TPQ in Chinese language was 0.923. Except for the communication dimension (0.649), the Cronbach's α coefficient of all dimensions were satisfactory. The T-TPQ and its five dimensions reported a good test-retest reliability (0.740-0.881, p<0.01). Moreover, the results of the confirmatory factor analysis demonstrated that the construct validity of the Chinese T-TPQ was satisfactory. All dimensions significantly correlated with the Hospital Survey on Patient Safety Culture (HSOPSC) teamwork within units dimension and the Safety Attitudes Questionnaire (SAQ) teamwork climate dimension (p<0.01), and the questionnaire showed satisfactory convergent and discriminant validity. CONCLUSIONS The T-TPQ in Chinese language demonstrated good psychometric characteristics and was a reliable and valid questionnaire to measure the Chinese health professionals' perception of teamwork. Thus, the Chinese version of the T-TPQ could be applied in teamwork training programmes and medical education research.
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Affiliation(s)
- Jinglou Qu
- Institute for International Health Professions Education and Research, China Medical University, Shenyang, China
- Department of Postgraduate Administration, The First Hospital of China Medical University, Shenyang, China
| | - Yaxin Zhu
- Institute for International Health Professions Education and Research, China Medical University, Shenyang, China
| | - Liyuan Cui
- Institute for International Health Professions Education and Research, China Medical University, Shenyang, China
- China Medical University Library, China Medical University, Shenyang, China
| | - Libin Yang
- Center for Higher Education Research and Teaching Quality Evaluation, Harbin Medical University, Harbin, China
| | - Yanni Lai
- Medical Education Office, Fudan University, Shanghai, China
| | - Xuechen Ye
- Institute for International Health Professions Education and Research, China Medical University, Shenyang, China
| | - Bo Qu
- Institute for International Health Professions Education and Research, China Medical University, Shenyang, China
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Manges KA, Ayele R, Leonard C, Lee M, Galenbeck E, Burke RE. Differences in transitional care processes among high-performing and low-performing hospital-SNF pairs: a rapid ethnographic approach. BMJ Qual Saf 2020; 30:648-657. [PMID: 32958550 DOI: 10.1136/bmjqs-2020-011204] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 07/07/2020] [Accepted: 08/02/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Despite the increased focus on improving patient's postacute care outcomes, best practices for reducing readmissions from skilled nursing facilities (SNFs) are unclear. The objective of this study was to observe processes used to prepare patients for postacute care in SNFs, and to explore differences between hospital-SNF pairs with high or low 30-day readmission rates. DESIGN We used a rapid ethnographic approach with intensive multiday observations and key informant interviews at high-performing and low-performing hospitals, and their most commonly used SNF. We used flow maps and thematic analysis to describe the process of hospitals discharging patients to SNFs and to identify differences in subprocesses used by high-performing and low-performing hospitals. SETTING AND PARTICIPANTS Hospitals were classified as high or low performers based on their 30-day readmission rates from SNFs. The final sample included 148 hours of observations with 30 clinicians across four hospitals (n=2 high performing, n=2 low performing) and corresponding SNFs (n=5). FINDINGS We identified variation in five major processes prior to SNF discharge that could affect care transitions: recognising need for postacute care, deciding level of care, selecting an SNF, negotiating patient fit and coordinating care with SNF. During each stage, high-performing sites differed from low-performing sites by focusing on: (1) earlier, ongoing, systematic identification of high-risk patients; (2) discussing the decision to go to an SNF as an iterative team-based process and (3) anticipating barriers with knowledge of transitional and SNF care processes. CONCLUSION Identifying variations in processes used to prepare patients for SNF provides critical insight into the best practices for transitioning patients to SNFs and areas to target for improving care of high-risk patients.
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Affiliation(s)
- Kirstin A Manges
- National Clinician Scholar, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA .,Center for Health Equity Research and Promotion (CHERP), Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Roman Ayele
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Chelsea Leonard
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Marcie Lee
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Emily Galenbeck
- Center of Innovation for Veteran-Centered and Value-Driven Care, VA Eastern Colorado Health Care System, Aurora, Colorado, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.,Section of Hospital Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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22
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Vaughn VM, Gandhi TN, Chopra V, Petty LA, Giesler DL, Malani AN, Bernstein SJ, Hsaiky LM, Pogue JM, Dumkow L, Ratz D, McLaughlin ES, Flanders SA. Antibiotic Overuse after Hospital Discharge: A Multi-Hospital Cohort Study. Clin Infect Dis 2020; 73:e4499-e4506. [PMID: 32918077 PMCID: PMC7947015 DOI: 10.1093/cid/ciaa1372] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 09/09/2020] [Indexed: 12/19/2022] Open
Abstract
Background Antibiotics are commonly prescribed to patients as they leave the hospital. We aimed to create a comprehensive metric to characterize antibiotic overuse after discharge among hospitalized patients treated for pneumonia or urinary tract infection (UTI), and to determine whether overuse varied across hospitals and conditions. Methods In a retrospective cohort study of hospitalized patients treated for pneumonia or UTI in 46 hospitals between 1 July 2017–30 July 2019, we quantified the proportion of patients discharged with antibiotic overuse, defined as unnecessary antibiotic use, excess antibiotic duration, or suboptimal fluoroquinolone use. Using linear regression, we assessed hospital-level associations between antibiotic overuse after discharge in patients treated for pneumonia versus a UTI. Results Of 21 825 patients treated for infection (12 445 with pneumonia; 9380 with a UTI), nearly half (49.1%) had antibiotic overuse after discharge (56.9% with pneumonia; 38.7% with a UTI). For pneumonia, 63.1% of overuse days after discharge were due to excess duration; for UTIs, 43.9% were due to treatment of asymptomatic bacteriuria. The percentage of patients discharged with antibiotic overuse varied 5-fold among hospitals (from 15.9% [95% confidence interval, 8.7%–24.6%] to 80.6% [95% confidence interval, 69.4%–88.1%]) and was strongly correlated between conditions (regression coefficient = 0.85; P < .001). Conclusions Antibiotic overuse after discharge was common and varied widely between hospitals. Antibiotic overuse after discharge was associated between conditions, suggesting that the prescribing culture, physician behavior, or organizational processes contribute to overprescribing at discharge. Multifaceted efforts focusing on all 3 types of overuse and multiple conditions should be considered to improve antibiotic prescribing at discharge.
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Affiliation(s)
- Valerie M Vaughn
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, VA Ann Arbor Health System, Ann Arbor, Michigan, USA
| | - Tejal N Gandhi
- Division of Infectious Diseases, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Vineet Chopra
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, VA Ann Arbor Health System, Ann Arbor, Michigan, USA
| | - Lindsay A Petty
- Division of Infectious Diseases, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Daniel L Giesler
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.,Division of Infectious Diseases, Department of Internal Medicine, St. Joseph Mercy Health System, Ann Arbor, Michigan, USA
| | - Anurag N Malani
- Department of Infection Prevention and Control, St. Joseph Mercy Health System, Ann Arbor, Michigan, USA
| | - Steven J Bernstein
- Center for Clinical Management Research, VA Ann Arbor Health System, Ann Arbor, Michigan, USA.,Division of General Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.,Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Lama M Hsaiky
- Department of Pharmaceutical Services, Beaumont Hospital Dearborn, Dearborn, Michigan
| | - Jason M Pogue
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Lisa Dumkow
- Department of Clinical Pharmacy Services, Mercy Health Saint Mary's, Grand Rapids, USA
| | - David Ratz
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, VA Ann Arbor Health System, Ann Arbor, Michigan, USA
| | - Elizabeth S McLaughlin
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Scott A Flanders
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
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23
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Vaughn VM, Seelye SM, Wang XQ, Wiitala WL, Rubin MA, Prescott HC. Inpatient and Discharge Fluoroquinolone Prescribing in Veterans Affairs Hospitals Between 2014 and 2017. Open Forum Infect Dis 2020; 7:ofaa149. [PMID: 32500088 DOI: 10.1093/ofid/ofaa149] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 04/23/2020] [Indexed: 11/13/2022] Open
Abstract
Background Between 2007 and 2015, inpatient fluoroquinolone use declined in US Veterans Affairs (VA) hospitals. Whether fluoroquinolone use at discharge also declined, in particular since antibiotic stewardship programs became mandated at VA hospitals in 2014, is unknown. Methods In this retrospective cohort study of hospitalizations with infection between January 1, 2014, and December 31, 2017, at 125 VA hospitals, we assessed inpatient and discharge fluoroquinolone (ciprofloxacin, levofloxacin, moxifloxacin) use as (a) proportion of hospitalizations with a fluoroquinolone prescribed and (b) fluoroquinolone-days per 1000 hospitalizations. After adjusting for illness severity, comorbidities, and age, we used multilevel logit and negative binomial models to assess for hospital-level variation and longitudinal prescribing trends. Results Of 560219 hospitalizations meeting inclusion criteria as hospitalizations with infection, 37.4% (209602/560219) had a fluoroquinolone prescribed either during hospitalization (32.5%, 182337/560219) or at discharge (19.6%, 110003/560219). Hospitals varied appreciably in inpatient, discharge, and total fluoroquinolone use, with 71% of hospitals in the highest prescribing quartile located in the Southern United States. Nearly all measures of fluoroquinolone use decreased between 2014 and 2017, with the largest decreases found in inpatient fluoroquinolone and ciprofloxacin use. In contrast, there was minimal decline in fluoroquinolone use at discharge, which accounted for a growing percentage of hospitalization-related fluoroquinolone-days (52.0% in 2014; 61.3% by 2017). Conclusions Between 2014 and 2017, fluoroquinolone use decreased in VA hospitals, largely driven by decreased inpatient fluoroquinolone (especially ciprofloxacin) use. Fluoroquinolone prescribing at discharge, as well as levofloxacin prescribing overall, is a growing target for stewardship.
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Affiliation(s)
- Valerie M Vaughn
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Sarah M Seelye
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| | - Xiao Qing Wang
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
| | - Wyndy L Wiitala
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| | - Michael A Rubin
- VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.,University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Hallie C Prescott
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan, USA
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