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Instruments and Warning Signs for Identifying and Evaluating the Frequency of Adverse Events in Intermediate and Long-Term Care Centres: A Narrative Systematic Review.
Malgrat-Caballero, S; Kannukene, A; Orrego, C.
Affiliation
  • Malgrat-Caballero S; 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. Electronic address: susanamalgrat@gmail.com.
  • Kannukene A; University of Tartu, Junior Researcher and PhD Student L. Puusepa 8, 50406 Tartu, Estonia.
  • Orrego C; 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.
J Healthc Qual Res ; 2024 Jul 15.
Article de En | MEDLINE | ID: mdl-39013688
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.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Healthc Qual Res Année: 2024 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Healthc Qual Res Année: 2024 Type de document: Article