1
|
Kuzmik A, Hannan J, Boltz M, Shrestha P, Husser EK, Fick DM, Marcantonio ER. A pilot study testing the iOS UB-CAM delirium app. J Am Geriatr Soc 2023; 71:1999-2002. [PMID: 36722177 PMCID: PMC10258118 DOI: 10.1111/jgs.18252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 12/26/2022] [Indexed: 02/02/2023]
Affiliation(s)
- Ashley Kuzmik
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - John Hannan
- Department of Computer Science & Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Marie Boltz
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Priyanka Shrestha
- School of Nursing, George Washington University, Washington, DC, USA
| | - Erica K. Husser
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Donna M. Fick
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Edward R. Marcantonio
- Divisions of General Medicine and Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
2
|
Burke A, Gupta A, Houchens N. Quality and Safety in the Literature: September 2022. BMJ Qual Saf 2022; 31:689-694. [PMID: 35981736 DOI: 10.1136/bmjqs-2022-015160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 05/10/2022] [Indexed: 11/04/2022]
Affiliation(s)
- Anna Burke
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Ashwin Gupta
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Medicine Service, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| | - Nathan Houchens
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Medicine Service, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| |
Collapse
|
3
|
Leslie DL, Fick DM, Moore A, Inouye SK, Jung Y, Ngo LH, Boltz M, Husser E, Shrestha P, Boustani M, Marcantonio ER. Comparative salary-related costs of a brief app-directed delirium identification protocol by hospitalists, nurses, and nursing assistants. J Am Geriatr Soc 2022; 70:2371-2378. [PMID: 35441698 PMCID: PMC9378349 DOI: 10.1111/jgs.17789] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/12/2022] [Accepted: 03/22/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Systematic screening can improve delirium identification among hospitalized older adults. Prior studies have shown clinicians and health system leaders may believe they do not have the time and resources for assessment. We conducted a comparative salary-related cost analysis of an adaptive delirium identification protocol directed by an iPad app. METHODS We recruited 527 older adult medicine patients from an urban academic medical center (n = 269) and a rural community hospital (n = 258). Physicians and nurses completed the two-step Ultra-brief Confusion Assessment Method (UB-CAM) protocol (with or without a skip pattern), while certified nursing assistants completed only the UB-2 ultra-brief screen. The sample included 527 patients (average age 80, 57% women, 35% with dementia). Time required to administer the protocol was collected automatically by the iPad app. Salary-related costs of screening were determined by multiplying the time required by the hourly wage for the three disciplines, as obtained from national and regional published healthcare salary cost data. Cost estimates for entire hospital implementation were also calculated. RESULTS Participants were screened on 924 hospital days by 399 clinicians (53 physicians, 236 nurses, 110 CNAs). For the UB-2, CNAs cost per screen was lower than the other clinician types ($0.37 per screen vs. $0.73 for nurses and $2.39 for hospitalists). For the UB-CAM with skip (UB-CAM), costs per protocol were $1.10 for nurses vs. $3.61 for physicians. The annual salary-related costs of hospital-wide implementation of a nurse-based UB-CAM protocol in a medium-sized (300-bed) hospital was $63,015 plus $4356 for initial and annual training. CONCLUSIONS CNAs and nurses had the lowest salary-associated costs for app-directed CAM-based delirium screening and identification, respectively. Salary-related annual hospital costs for the most efficient protocols in a medium-sized hospital were less than the annual cost of hiring 1 FTE of the discipline performing the protocols.
Collapse
Affiliation(s)
- Douglas L Leslie
- College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania, USA
| | - Donna M Fick
- College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania, USA.,The Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Amber Moore
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Divisions of General Medicine and Gerontology, Harvard Medical School, Boston, Massachusetts, USA.,Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sharon K Inouye
- Divisions of General Medicine and Gerontology, Harvard Medical School, Boston, Massachusetts, USA.,Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.,Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Yoojin Jung
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Long H Ngo
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Divisions of General Medicine and Gerontology, Harvard Medical School, Boston, Massachusetts, USA
| | - Marie Boltz
- The Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Erica Husser
- The Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Priyanka Shrestha
- The Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Malaz Boustani
- Division of Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Edward R Marcantonio
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Divisions of General Medicine and Gerontology, Harvard Medical School, Boston, Massachusetts, USA.,Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| |
Collapse
|
4
|
Brefka S, Eschweiler GW, Dallmeier D, Denkinger M, Leinert C. Comparison of delirium detection tools in acute care : A rapid review. Z Gerontol Geriatr 2022; 55:105-115. [PMID: 35029755 PMCID: PMC8921069 DOI: 10.1007/s00391-021-02003-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/06/2021] [Indexed: 11/28/2022]
Abstract
Background Delirium is a frequent psychopathological syndrome in geriatric patients. It is sometimes the only symptom of acute illness and bears a high risk for complications. Therefore, feasible assessments are needed for delirium detection. Objective and methods Rapid review of available delirium assessments based on a current Medline search and cross-reference check with a special focus on those implemented in acute care hospital settings. Results A total of 75 delirium detection tools were identified. Many focused on inattention as well as acute onset and/or fluctuating course of cognitive changes as key features for delirium. A range of assessments are based on the confusion assessment method (CAM) that has been adapted for various clinical settings. The need for a collateral history, time resources and staff training are major challenges in delirium assessment. Latest tests address these through a two-step approach, such as the ultrabrief (UB) CAM or by optional assessment of temporal aspects of cognitive changes (4 As test, 4AT). Most delirium screening assessments are validated for patient interviews, some are suitable for monitoring delirium symptoms over time or diagnosing delirium based on collateral history only. Conclusion Besides the CAM the 4AT has become well-established in acute care because of its good psychometric properties and practicability. There are several other instruments extending and improving the possibilities of delirium detection in different clinical settings. Supplementary Information The online version of this article (10.1007/s00391-021-02003-5) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Simone Brefka
- Institute for Geriatric Research, Ulm University, Ulm, Germany. .,Geriatric Center Ulm/Alb Donau, Ulm, Germany. .,Agaplesion Bethesda Hospital Ulm, Zollernring 26, 89073, Ulm, Germany.
| | - Gerhard Wilhelm Eschweiler
- Geriatric Center, University Hospital Tuebingen, Tuebingen, Germany.,University Hospital for Psychiatry and Psychotherapy Tuebingen, Tuebingen, Germany
| | - Dhayana Dallmeier
- Geriatric Center Ulm/Alb Donau, Ulm, Germany.,Agaplesion Bethesda Hospital Ulm, Zollernring 26, 89073, Ulm, Germany.,Dept. of Epidemiology, Boston University School of Public Health, Boston, USA
| | - Michael Denkinger
- Institute for Geriatric Research, Ulm University, Ulm, Germany.,Geriatric Center Ulm/Alb Donau, Ulm, Germany.,Agaplesion Bethesda Hospital Ulm, Zollernring 26, 89073, Ulm, Germany
| | - Christoph Leinert
- Institute for Geriatric Research, Ulm University, Ulm, Germany.,Geriatric Center Ulm/Alb Donau, Ulm, Germany.,Agaplesion Bethesda Hospital Ulm, Zollernring 26, 89073, Ulm, Germany
| |
Collapse
|
5
|
Marcantonio ER, Fick DM, Jung Y, Inouye SK, Boltz M, Leslie DL, Husser EK, Shrestha P, Moore A, Sulmonte K, Siuta J, Boustani M, Ngo LH. Comparative Implementation of a Brief App-Directed Protocol for Delirium Identification by Hospitalists, Nurses, and Nursing Assistants : A Cohort Study. Ann Intern Med 2022; 175:65-73. [PMID: 34748377 PMCID: PMC8938856 DOI: 10.7326/m21-1687] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Systematic screening improves delirium identification among hospitalized older adults. Little data exist on how to implement such screening. OBJECTIVE To test implementation of a brief app-directed protocol for delirium identification by physicians, nurses, and certified nursing assistants (CNAs) in real-world practice relative to a research reference standard delirium assessment (RSDA). DESIGN Prospective cohort study. SETTING Large urban academic medical center and small rural community hospital. PARTICIPANTS 527 general medicine inpatients (mean age, 80 years; 35% with preexisting dementia) and 399 clinicians (53 hospitalists, 236 nurses, and 110 CNAs). MEASUREMENTS On 2 study days, enrolled patients had an RSDA. Subsequently, CNAs performed an ultra-brief 2-item screen (UB-2) for delirium, whereas physicians and nurses performed a 2-step protocol consisting of the UB-2 followed in those with a positive screen result by the 3-Minute Diagnostic Assessment for the Confusion Assessment Method. RESULTS Delirium was diagnosed in 154 of 924 RSDAs (17%) and in 114 of 527 patients (22%). The completion rate for clinician protocols exceeded 97%. The CNAs administered the UB-2 in a mean of 62 seconds (SD, 51). The 2-step protocols were administered in means of 104 seconds (SD, 99) by nurses and 106 seconds (SD, 105) by physicians. The UB-2 had sensitivities of 88% (95% CI, 72% to 96%), 87% (CI, 73% to 95%), and 82% (CI, 65% to 91%) when administered by CNAs, nurses, and physicians, respectively, with specificities of 64% to 70%. The 2-step protocol had overall accuracy of 89% (CI, 83% to 93%) and 87% (CI, 81% to 91%), with sensitivities of 65% (CI, 48% to 79%) and 63% (CI, 46% to 77%) and specificities of 93% (CI, 88% to 96%) and 91% (CI, 86% to 95%), for nurses and physicians, respectively. Two-step protocol sensitivity for moderate to severe delirium was 78% (CI, 54% to 91%). LIMITATION Two sites; limited diversity. CONCLUSION An app-directed protocol for delirium identification was feasible, brief, and accurate, and CNAs and nurses performed as well as hospitalists. PRIMARY FUNDING SOURCE National Institute on Aging.
Collapse
Affiliation(s)
- Edward R Marcantonio
- Divisions of General Medicine and Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, Massachusetts (E.R.M.)
| | - Donna M Fick
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania, and College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania (D.M.F.)
| | - Yoojin Jung
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts (Y.J.)
| | - Sharon K Inouye
- Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, and Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts (S.K.I.)
| | - Marie Boltz
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania (M.B., E.K.H., P.S.)
| | - Douglas L Leslie
- College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania (D.L.L.)
| | - Erica K Husser
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania (M.B., E.K.H., P.S.)
| | - Priyanka Shrestha
- Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park, Pennsylvania (M.B., E.K.H., P.S.)
| | - Amber Moore
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, and Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts (A.M.)
| | - Kimberlyann Sulmonte
- Department of Nursing, Beth Israel Deaconess Medical Center, Boston, Massachusetts (K.S.)
| | - Jonathan Siuta
- Department of Medicine, Mount Nittany Medical Center, State College, Pennsylvania (J.S.)
| | - Malaz Boustani
- Center for Health Innovation and Implementation Science, Indiana University School of Medicine, Indianapolis, Indiana (M.B.)
| | - Long H Ngo
- Division of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, Massachusetts (L.H.N.)
| |
Collapse
|