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Enregistrement W4399995560 · doi:10.1097/pts.0000000000001237

Visitor Restrictions During the COVID-19 Pandemic and Increased Falls With Harm at a Canadian Hospital: An Exploratory Study

2024· article· en· W4399995560 sur OpenAlexaffabout
Stephanie Shennan, Natalie Coyle, Brittany Lockwood, Giulio DiDiodato

Notice bibliographique

RevueJournal of Patient Safety · 2024
Typearticle
Langueen
DomaineHealth Professions
ThématiqueFamily and Patient Care in Intensive Care Units
Établissements canadiensRoyal Victoria Regional Health Centre
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionPandemicHarmMedicineVisitor patternObservational studyDeclarationHealth careMedical emergencyPopulationPublic healthPatient safetyExploratory researchCoronavirus disease 2019 (COVID-19)Environmental healthNursingDiseaseInfectious disease (medical specialty)Psychology

Résumé

récupéré en direct d'OpenAlex

Key messages What is already known on this topic – Patient accidents in hospitals account for 4% of all hospital-related harmful events. There are many risk factors that contribute to these accidents, but few interventions that reduce their risk. During the COVID-19 pandemic period, the number of patient accidents has increased. While the reasons for this association are unclear, they may be related to COVID-19-related interventions such as patient isolation and visitor restrictions. What this study adds – This exploratory study is the first to demonstrate that visitor restrictions may be associated with an increased risk of patient accidents. How this study might affect research, practice or policy – The potential harmful effects of visitor restrictions should be taken into consideration whenever these interventions are being implemented as part of a bundled strategy for prevention of infectious diseases transmission and protection. Patient accidents in hospitals resulting in harm requiring either treatment or prolonged hospital stay are of great interest to health care, policy makers and the general public. 1 They account for 4% of all hospital-related harmful events and are included as an indicator in the new Hospital Harm Measure instituted across Canada as a patient safety quality measure of acute hospital care. 2 Since the declaration of the COVID-19 pandemic in Canada on March 13, 2020, there were 0.26 patient trauma events per 100 hospitalizations reported in both 2020–2021 and 2021–2022, a 13% increase from 2019 to 2020. 3 In a population-based observational study conducted among Ontario patients hospitalized in 2015–2016, patient accidents were estimated to increase the index hospitalization length of stay by 17.3 days (95% CI 17.0, 17.6) and costs by $47824 (95% CI 47,383, 48,266) (CDN). 4 There have been over 400 clinical factors identified as being associated with an increased risk of falls in hospitalized patients. 5 Risk mitigation strategies have been implemented in many hospitals to prevent anticipatory falls defined as potentially preventable through early identification of patients that exhibit clinical signs associated with increased risk of falls. These anticipatory falls make up approximately 30% of all falls, with the remainder being nonpreventable and due to unanticipated or accidental falls. 5 In a recent systematic review and meta-analysis of the effects of falls prevention interventions on fall outcomes for adults in hospital settings, patient and staff education was the only intervention that reduced the fall rate risk ratio (RR) 0.70 (95% CI 0.51, 0.96) and the fall odds ratio 0.62 (95% 0.47, 0.83) with a high level of certainty, while early stratification using fall risk screening tools, rehabilitation and exercise therapies, assistive and alarm devices, system changes such as hourly rounding, and environmental modifications demonstrated no benefit. 6 One particular program, the Fall TIPS program, 7,8 which leverages visitor engagement to ensure that patients are compliant with fall prevention recommendations printed on a laminated poster or visual aid, demonstrated a 34% reduction in falls with harm, suggesting a potential mechanism through which patient visitation might reduce patient harm. On March 11, 2020, the World Health Organization (WHO) declared a COVID-19 pandemic. 9 In an attempt to prevent the introduction and spread of COVID-19 in Canadian hospitals and prevent transmission from patients and healthcare providers to visitors, regional and local public health authorities advised acute care hospitals to cancel elective clinic visits, treatments, and surgical procedures and implement visitor restrictions and enhanced COVID-19 screening and isolation protocols. These recommendations resulted in increased numbers of patients in contact/droplet isolation precautions and more severe patient visitor restrictions. Many of these recommendations were revised during the subsequent pandemic waves, as some were considered by many to be ineffective and potentially harmful. 10–12 For example, some have argued that patient visitors are unlikely to be an important source of hospital-acquired COVID-19 infection. 12 The authors concluded that severe patient visitor restrictions may have prevented few COVID-19 infections, while contributing to low staff morale and worse patient outcomes. In a retrospective before-after ecological study conducted at 32 hospitals within the Beryl Institute community in the United States from 2019 to 2020, the unadjusted in-hospital fall with hip fracture rates increased from 0.03 events (per 1000 hospital discharges) in 2019 in hospitals with no visitor restrictions, to 0.07 in hospitals with partial limited visitation in 2020, and to 0.14 in hospitals with absolute visitor restriction policies in 2020, 13 possibly suggesting a signal for patient harm associated with different levels of visitor restrictions. As for increased numbers of hospitalized patients in isolation, a systematic review noted that isolation practices are associated with less patient-healthcare worker interaction, delays in care, and increased symptoms of depression and anxiety. 14 The impact of either visitor restrictions or patient isolation on FWH risks has not been reported. 10,11,14 This is an exploratory study to determine if there is an association between either isolation precautions or visitor restrictions and increased falls with harm risk in adult patients hospitalized in an acute care community hospital. Background Falls with harms (FWH) in hospitalized patients increase costs and lengths of stay. The COVID-19 pandemic has resulted in more FWH. Additionally, the COVID-19 pandemic has resulted in increased patients in isolation with fewer visitors. Their relationship with falls has not been previously studied. Methods This is a retrospective, single-site, 12-month before pandemic-12-month after pandemic, observational study. Multiple logistic regression analysis was used to model FWH outcome and associations with isolation and visitor restrictions. Results There were 4369 isolation events and 385 FWH among 22,505 admissions during the study period. Unadjusted analysis demonstrated a FWH risk of 1.33% (95% CI 0.99, 1.67) in those who were placed in isolation compared to 1.80% (95% CI 1.60, 2.00) in those without an isolation event ( χ 2 = 4.73, P = 0.03). The FWH risk during the different visitor restriction periods was significantly higher compared to the prepandemic period ( χ 2 = 20.81, P < 0.001), ranging from 1.28% (95% CI 1.06, 2.50) in the prepandemic period to 2.03% (95% 1.66, 2.40) with no visitors permitted (phase A) in the pandemic period. After adjusting for potential confounders and selection bias, only phase A visitor restrictions were associated with an increased FWH risk of 0.75% (95% CI 0.32, 1.18) compared to no visitor restrictions. Interpretation Our results suggest a moderately strong association between hospitalized patient FWH risk and severe visitor restrictions. This association was muted in phases with even minor allowances for visitation. This represents the first report of the adverse effects of visitor restriction policies on patients’ FWH risks.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,396
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,061
Tête enseignante GPT0,359
Écart entre enseignants0,298 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2024
Routes d'admission2
Résumé présentoui

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