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Seidenfeld J, Tucker M, Harris-Gersten M, Fix GM, Guzman I, Sperber NR, Hastings SN. Characterizing Emergency Department Disposition Conversations for Persons Living With Dementia: Protocol for an Ethnographic Study. JMIR Res Protoc 2024; 13:e65043. [PMID: 39642361 DOI: 10.2196/65043] [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: 08/02/2024] [Revised: 10/24/2024] [Accepted: 10/26/2024] [Indexed: 12/08/2024] Open
Abstract
BACKGROUND Almost 40% of persons living with dementia make an emergency department (ED) visit each year. One of the most impactful and costly elements of their ED care is the decision to discharge or admit them to the hospital-the "disposition" decision. When more than one reasonable option exists regarding a health care decision, such as the decision to admit or not, it often requires a complex conversation between patients, care partners, and ED providers, ideally involving shared decision-making. However, little is known about how these conversations are conducted and the real-world context in which they take place. Best practices in ED communication and shared decision-making for persons living with dementia and their care partners are limited. OBJECTIVE This study aims to characterize current practices in ED disposition conversations for persons living with dementia and their care partners, informed by perspectives from patient and care partner participants. METHODS This study will use an ethnographic design, including direct observation methods with a semistructured data collection tool to capture the ED encounter for up to 20 patient and care partner dyads, including all discussions about dispositions. Follow-up qualitative, semistructured interviews will be conducted with persons living with dementia and their care partners to explore specific observations made during their ED encounter, and to gain insight into their perspective on their role and elements of decision support used during that conversation. RESULTS Data collection was initiated in October 2023, with 13 dyads recruited and observed as of July 2024. This study is expected to be completed by December 2024. CONCLUSIONS Novel methods can offer novel insights. By combining direct observation and follow-up interviews about an ED visit, our study design will provide insights into how ED disposition occurs in real-world settings for persons living with dementia. Findings can inform more patient-centered interventions for disposition decision-making. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/65043.
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Affiliation(s)
- Justine Seidenfeld
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NC, United States
- Department of Emergency Medicine, Duke University School of Medicine, Durham, NC, United States
- Department of Emergency Medicine, Durham VA Health Care System, Durham, NC, United States
| | - Matthew Tucker
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NC, United States
| | - Melissa Harris-Gersten
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NC, United States
- Duke University School of Nursing, Durham, NC, United States
| | - Gemmae M Fix
- Center for Health Optimization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States
- Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Ivonne Guzman
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NC, United States
| | - Nina R Sperber
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NC, United States
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Susan N Hastings
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NC, United States
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States
- Division of Geriatrics, Department of Internal Medicine, Duke University School of Medicine, Durham, NC, United States
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Cutter CM, Tran LD, Wu S, Urech TH, Seidenfeld J, Kocher KE, Vashi AA. Hospital-level variation in risk-standardized admission rates for emergency care-sensitive conditions among older and younger Veterans. Acad Emerg Med 2023; 30:299-309. [PMID: 36762877 DOI: 10.1111/acem.14691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
OBJECTIVES Research examining emergency department (ED) admission practices within the Department of Veterans Affairs (VA) is limited. This study investigates facility-level variation in risk-standardized admission rates (RSARs) for emergency care-sensitive conditions (ECSCs) among older (≥65 years) and younger (<65 years) Veterans across VA EDs. METHODS Veterans presenting to a VA ED for an ECSC between October 1, 2016 and September 30, 2019 were identified and the 10 most common ECSCs established. ECSC-specific RSARs were calculated using hierarchical generalized linear models, adjusting for Veteran and encounter characteristics. The interquartile range ratio (IQR ratio) and coefficient of variation were measures of dispersion for each condition and were stratified by age group. Associations with facility characteristics were also examined in condition-specific multivariable models. RESULTS The overall cohort included 651,336 ED visits across 110 VA facilities for the 10 most common ECSCs-chronic obstructive pulmonary disease (COPD), heart failure, pneumonia, volume depletion, tachyarrhythmias, acute diabetes mellitus, gastrointestinal (GI) bleeding, asthma, sepsis, and myocardial infarction (MI). After adjusting for case mix, the ECSCs with the greatest variation (IQR ratio, coefficient of variation) in RSARs were asthma (1.43, 32.12), COPD (1.39, 24.64), volume depletion (1.38, 23.67), and acute diabetes mellitus (1.28, 17.52), whereas those with the least variation were MI (1.01, 0.87) and sepsis (1.02, 2.41). Condition-specific RSARs were not qualitatively different between age subgroups. Association with facility characteristics varied across ECSCs and within condition-specific age subgroups. CONCLUSIONS We identified unexplained facility-level variation in RSARs for Veterans presenting with the 10 most common ECSCs to VA EDs. The magnitude of variation did not appear to be qualitatively different between older and younger Veteran subgroups. Variation in RSARs for ECSCs may be an important target for systems-based levers to improve value in VA emergency care.
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Affiliation(s)
- Christina M Cutter
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Veterans Affairs, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
| | - Linda D Tran
- Health Economics Resource Center, VA Palo Alto Health Care System, Palo Alto, California, USA
- Stanford Surgery Policy Improvement Research and Education Center, Stanford University, Stanford, California, USA
| | - Siqi Wu
- Stanford Primary Care and Population Health, Stanford University, Stanford, California, USA
- Center for Innovation to Implementation, Palo Alto Veterans Affairs Health Care System, Menlo Park, California, USA
| | - Tracy H Urech
- Center for Innovation to Implementation, Palo Alto Veterans Affairs Health Care System, Menlo Park, California, USA
| | - Justine Seidenfeld
- Division of Emergency Medicine, Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, North Carolina, USA
| | - Keith E Kocher
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Veterans Affairs, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, USA
- Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA
- Department of Veterans Affairs Health Services Research & Development, VA Center for Clinical Management Research, Ann Arbor, Michigan, USA
| | - Anita A Vashi
- Center for Innovation to Implementation, Palo Alto Veterans Affairs Health Care System, Menlo Park, California, USA
- Department of Emergency Medicine, University of California San Francisco, San Francisco, California, USA
- Department of Emergency Medicine (Affiliated), Stanford University, Stanford, California, USA
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Emergency departments: The gatekeepers of admissions in Pennsylvania's rural hospitals. Am J Emerg Med 2022; 57:138-148. [PMID: 35576794 DOI: 10.1016/j.ajem.2022.05.002] [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: 02/14/2022] [Revised: 03/25/2022] [Accepted: 05/03/2022] [Indexed: 01/02/2023] Open
Abstract
STUDY OBJECTIVE To analyze trends in admission rates and the proportion of admissions via the ED at rural hospitals in Pennsylvania and to identify factors that may impact admission rates. METHODS We use retrospective, longitudinal data on rural acute care hospitals in Pennsylvania for 2000-19 to investigate temporal patterns in admission rates and the proportion of admissions via the ED. Regression analysis is then used to identify factors that may impact admission rates. RESULTS In general admission rates, which averaged 14.5%, experienced a gradual decline (Change: -16.9%; from 15.7% to 13%) between 2000 and 2019. The proportion of hospital admissions via the ED, which averaged 64.9%, increased steadily (21%; from 57% to 69%). Critical access hospitals experienced a sharp decline in admissions via the ED (-49.1%) and admission rates (-55.3%). The fixed-effects regression model revealed several hospital- and ED-level characteristics were significantly associated with admission rate. CONCLUSIONS Emergency departments are the gatekeepers of admissions at rural acute care hospitals in Pennsylvania. Many hospitals in rural Pennsylvania, including CAHs, are admitting most of their patients through the ED, concomitant with a significant decline in admissions and admission rates. This highlights the need to strengthen primary care practices serving rural Pennsylvania as well as the need to improve rural emergency and trauma systems. In the short to medium term, policy makers should explore innovative ways to fund smaller hospitals, especially CAHs, to develop level IV trauma center capabilities.
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