The impact of atypical intrahospital transfers on patient outcomes: a mixed methods study.

The impact of atypical intrahospital transfers on patient outcomes: a mixed methods study.

Publication date: Sep 18, 2023

The architectural design of hospitals worldwide is centred around individual departments, which require the movement of patients between wards. However, patients do not always take the simplest route from admission to discharge, but can experience convoluted movement patterns, particularly when bed availability is low. Few studies have explored the impact of these rarer, atypical trajectories. Using a mixed-method explanatory sequential study design, we firstly used three continuous years of electronic health record data prior to the Covid-19 pandemic, from 55,152 patients admitted to a London hospital network to define the ward specialities by patient type using the Herfindahl-Hirschman index. We explored the impact of ‘regular transfers’ between pairs of wards with shared specialities, ‘atypical transfers’ between pairs of wards with no shared specialities and ‘site transfers’ between pairs of wards in different hospital site locations, on length of stay, 30-day readmission and mortality. Secondly, to understand the possible reasons behind atypical transfers we conducted three focus groups and three in-depth interviews with site nurse practitioners and bed managers within the same hospital network. We found that at least one atypical transfer was experienced by 12. 9% of patients. Each atypical transfer is associated with a larger increase in length of stay, 2. 84 days (95% CI 2. 56-3. 12), compared to regular transfers, 1. 92 days (95% CI 1. 82-2. 03). No association was found between odds of mortality, or 30-day readmission and atypical transfers after adjusting for confounders. Atypical transfers appear to be driven by complex patient conditions, a lack of hospital capacity, the need to reach specific services and facilities, and more exceptionally, rare events such as major incidents. Our work provides an important first step in identifying unusual patient movement and its impacts on key patient outcomes using a system-wide, data-driven approach. The broader impact of moving patients between hospital wards, and possible downstream effects should be considered in hospital policy and service planning.

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Concepts Keywords
92days Atypical
Hospitals Bed
Interviews Design
Pandemic Explored
Hospital
Mixed
Movement
Network
Outcomes
Pairs
Patient
Regular
Specialities
Transfers
Wards

Semantics

Type Source Name
disease VO study design
disease MESH Covid-19 pandemic
disease IDO site
disease VO LACK
drug DRUGBANK Coenzyme M
disease MESH emergency
disease MESH infection
drug DRUGBANK Etoperidone
disease IDO geographical region
disease VO time
disease VO effective
disease MESH death
disease MESH comorbidity
disease VO population
disease MESH influenza
disease VO USA
drug DRUGBANK Acetylsalicylic acid
drug DRUGBANK Methionine
drug DRUGBANK Aspartame
disease MESH Stroke
disease MESH Infectious Disease
disease VO volume
disease IDO facility
disease MESH morbidity
disease VO adverse event
disease MESH Uncertainty
drug DRUGBANK Ranitidine
drug DRUGBANK Esomeprazole
disease VO Canada
disease MESH dementia
disease IDO history
disease IDO process
disease MESH causality
drug DRUGBANK Ilex paraguariensis leaf
disease VO frequency
disease MESH critically ill
disease MESH Clostridium difficile infection
disease MESH healthcare associated infections
disease MESH delirium
drug DRUGBANK Trestolone
disease VO organ
disease MESH heart failure
drug DRUGBANK Bean

Original Article

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