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Malgrat-Caballero S, Kannukene A, Orrego C. Instruments and Warning Signs for Identifying and Evaluating the Frequency of Adverse Events in Intermediate and Long-Term Care Centres: A Narrative Systematic Review. J Healthc Qual Res 2024; 39:315-326. [PMID: 39013688 DOI: 10.1016/j.jhqr.2024.06.004] [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: 02/13/2024] [Revised: 05/27/2024] [Accepted: 06/21/2024] [Indexed: 07/18/2024]
Abstract
INTRODUCTION There is a lack of data about adverse events (AE) in intermediate and long-term care centers (ILCC). We aimed to synthesize the available scientific evidence on instruments used to identify and characterize AEs. We also aimed to describe the most common adverse events in ILCCs. MATERIAL AND METHODS A narrative systematic review of the literature was conducted according to Prisma recommendations. The PubMed database was searched for articles published between 2000 and 2021. Two reviewers independently screened and reviewed the studies through blind and independent review. We evaluated bias risk with Cochrane's risk of bias tool. Disagreements were resolved by consensus. Discrepancies that were not resolved by discussion were discussed with a third reviewer. Descriptive data was extracted and qualitative content analysis was performed. RESULTS We found 2191 articles. Based on the inclusion and exclusion criteria, 272 papers were screened by title and abstract, and 66 studies were selected for full review. The instruments used to identify AEs were mostly tools to identify specific AEs or risks of AEs (94%), the remaining 6% were multidimensional. The most frequent categories detected medication-related AEs (n=26, 40%); falls (n=7, 11%); psychiatric AEs (6.9%); malnutrition (4.6%), and infections (4.6%). The studies that used multidimensional tools refer to frailty, dependency, or lack of energy as predictors of AEs. However, they do not take into account the importance of detecting AEs. We found 2-11 adverse drug events (ADE) per resident/month. We found a prevalence of falls (12.5%), delirium (9.6-89%), pain (68%), malnutrition (2-83%), and pressure ulcers (3-30%). Urinary tract infections, lower respiratory tract infections, skin and soft tissue infections, and gastroenteritis were the most common infections in this setting. Transitions between different care settings (from hospitals to ILCC and vice versa) expose AE risk. CONCLUSION There are many instruments to detect AEs in ILCC, and most have a specific approach. Adverse events affect a significant proportion of patients in ILCC, the nurse-sensitive outcomes, nosocomial infections, and adverse drug events are among the most common. The systematic review was registered with Prospero, ID: CRD42022348168.
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Affiliation(s)
- S Malgrat-Caballero
- Centre d'Atenció Intermèdia, Parc Sanitari Pere Virgili, Barcelona, Spain; REFiT-BCN (Research Group on Aging, Frailty and Care Transitions in Barcelona), VHIR (Vall d'Hebron Research Institute), Barcelona, Spain; Programa de Doctorat Interuniversitari de Cures Integrals i Serveis de Salut, Universitat de Vic-Universitat Central de Catalunya, Spain.
| | - A Kannukene
- University of Tartu, Junior Researcher and PhD Student L. Puusepa 8, 50406 Tartu, Estonia
| | - C Orrego
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; Faculty of Medicine, Universitat Autónoma de Barcelona (UAB), 08025 Barcelona, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain
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Kane-Gill SL, Wong A, Culley CM, Perera S, Reynolds MD, Handler SM, Kellum JA, Aspinall MB, Pellett ME, Long KE, Nace DA, Boyce RD. Transforming the Medication Regimen Review Process Using Telemedicine to Prevent Adverse Events. J Am Geriatr Soc 2020; 69:530-538. [PMID: 33233016 DOI: 10.1111/jgs.16946] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/22/2020] [Accepted: 10/28/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND/OBJECTIVES Federally-mandated consultant pharmacist-conducted retrospective medication regimen reviews (MRRs) are designed to improve medication safety in nursing homes (NH). However, MRRs are potentially ineffective. A new model of care that improves access to and efficiency of consultant pharmacists is needed. The objective of this study was to determine the impact of pharmacist-led telemedicine services on reducing high-risk medication adverse drug events (ADEs) for NH residents using medication reconciliation and prospective MRR on admission plus ongoing clinical decision support alerts throughout the residents' stay. DESIGN Quality improvement study using a stepped-wedge design comparing the novel service to usual care in a one-year evaluation from November 2016 to October 2017. SETTING Four NHs (two urban, two suburban) in Southwestern Pennsylvania. PARTICIPANTS All residents in the four NHs were screened. There were 2,127 residents admitted having 652 alerts in the active period. INTERVENTION Upon admission, pharmacists conducted medication reconciliation and prospective MRR for residents and also used telemedicine for communication with cognitively-intact residents. Post-admission, pharmacists received clinical decision support alerts to conduct targeted concurrent MRRs and telemedicine. MEASUREMENT Main outcome was incidence of high-risk medication, alert-specific ADEs. Secondary outcomes included all-cause hospitalization, 30-day readmission rates, and consultant pharmacists' recommendations. RESULTS Consultant pharmacists provided 769 recommendations. The intervention group had a 92% lower incidence of alert-specific ADEs than usual care (9 vs 31; 0.14 vs 0.61/1,000-resident-days; adjusted incident rate ratio (AIRR) = 0.08 (95% confidence interval (CI) = 0.01-0.40]; P = .002). All-cause hospitalization was similar between groups (149 vs 138; 2.33 vs 2.70/1,000-resident-days; AIRR = 1.06 (95% CI = 0.72-1.58); P = .75), as were 30-day readmissions (110 vs 102; 1.72 vs 2.00/1,000-resident-days; AIRR = 1.21 (95% CI = 0.76-1.93); P = .42). CONCLUSIONS This is the first evaluation of the impact of pharmacist-led patient-centered telemedicine services to manage high-risk medications during transitional care and throughout the resident's NH stay, supporting a new model of patient care.
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Affiliation(s)
- Sandra L Kane-Gill
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Pharmacy, UPMC, Pittsburgh, Pennsylvania, USA
| | - Adrian Wong
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Medicine, Division of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Colleen M Culley
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Pharmacy, UPMC, Pittsburgh, Pennsylvania, USA
| | - Subashan Perera
- Department of Medicine, Division of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Maureen D Reynolds
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Steven M Handler
- Department of Medicine, Division of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John A Kellum
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Monica B Aspinall
- RxPartners Inc., UMPC Diversified Services, Bridgeville, Pennsylvania, USA
| | - Megan E Pellett
- RxPartners Inc., UMPC Diversified Services, Bridgeville, Pennsylvania, USA
| | - Keith E Long
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - David A Nace
- Department of Medicine, Division of Geriatric Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Richard D Boyce
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Stephens CE, Halifax E, David D, Bui N, Lee SJ, Shim J, Ritchie CS. "They Don't Trust Us": The Influence of Perceptions of Inadequate Nursing Home Care on Emergency Department Transfers and the Potential Role for Telehealth. Clin Nurs Res 2020; 29:157-168. [PMID: 31007055 PMCID: PMC10242499 DOI: 10.1177/1054773819835015] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
In this descriptive, qualitative study, we conducted eight focus groups with diverse informal and formal caregivers to explore their experiences/challenges with nursing home (NH) to emergency department (ED) transfers and whether telehealth might be able to mitigate some of those concerns. Interviews were transcribed and analyzed using a grounded theory approach. Transfers were commonly viewed as being influenced by a perceived lack of trust in NH care/capabilities and driven by four main factors: questioning the quality of NH nurses' assessments, perceptions that physicians were absent from the NH, misunderstandings of the capabilities of NHs and EDs, and perceptions that responses to medical needs were inadequate. Participants believed technology could provide "the power of the visual" permitting virtual assessment for the off-site physician, validation of nursing assessment, "real time" assurance to residents and families, better goals of care discussions with multiple parties in different locations, and family ability to say goodbye.
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Affiliation(s)
- Caroline E. Stephens
- Department of Community Health Systems, University of California, San Francisco, CA, USA
| | - Elizabeth Halifax
- Department of Physiological Nursing, University of California, San Francisco, CA, USA
| | - Daniel David
- Department of Community Health Systems, University of California, San Francisco, CA, USA
| | - Nhat Bui
- Asian Health Services, Oakland, CA, USA
| | - Sei J. Lee
- Division of Geriatrics, University of California, San Francisco, CA, USA
- San Francisco VA Healthcare System, San Francisco, CA, USA
| | - Janet Shim
- Department of Social and Behavioral Sciences, University of California, San Francisco, CA, USA
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