Impact of distance on stroke inpatients’ mobility in rehabilitation clinics: a shadowing study

Kevdzija, Maja; Marquardt, Gesine

doi:10.1080/09613218.2021.2001302

Cited by 9 publications

(4 citation statements)

References 48 publications

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“…Previous pre–post evaluations have adopted diverse instruments to collect data on staff experiences: self-reported experiences and pedometer data ( Maben et al, 2016 ), shadowing and questionnaires ( Kevdzija & Marquardt, 2022 ), and surveys and interviews ( Kalantari & Snell, 2017 ). These methods are often time-consuming, expensive—one of the barriers for conducting POEs ( Kalantari & Snell, 2017 )—and rely on subjective estimates.…”

Section: Discussionmentioning

confidence: 99%

Pioneering the Use of Tracker Data to Evaluate Lean-Led Hospital Design

Schouten,

Heusinkveld,

Benders

2024

HERD

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Objective: This study aims to examine how we can effectively and affordably evaluate the impact of design concepts such as Lean-Led Hospital Design (LLHD) on the allocation of nurses’ time spent at different locations. Particularly in patient rooms, as this can be seen as value-adding time. Background: LLHD aims to create a hospital environment that supports value creation for patients and reduces waste. However, only a few studies measure its’ effects. One of the reasons for this absence is the lack of an adequate and affordable way to evaluate. Method: Nurses’ time spent in patient rooms was used as a proxy for value-adding time. Through studying a pioneering case of LLHD, and drawing on a pre-/postoccupancy evaluation approach, this study used an innovative methodology utilizing mobile tracking devices to adequately provide reliable data about the time nurses spend at specific locations. Results: Our analysis reveals that the answer to the question concerning the impact of LLHD, as advocated by its proponents, on nurses’ allocation of time for value-adding activities versus waste time remains inconclusive. Our findings indicate no discernible difference in the amount of value-adding time nurses spent in the old facility compared to the new one. Conclusion: Our experience suggests that mobile tracking devices offer an affordable, efficient means of collecting data that produces objective measurements. Nevertheless, the interpretation of this time-based data necessitates the inclusion of supplementary qualitative information.

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Section: Discussionmentioning

confidence: 99%

Pioneering the Use of Tracker Data to Evaluate Lean-Led Hospital Design

Schouten,

Heusinkveld,

Benders

2024

HERD

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“…Many stroke patients have impaired mobility with around half of patients unable to walk independently in the first 3-5 days following a stroke ( Louie et al, 2022 ). If possible, facilities should have compact layouts since longer distances between different hospital areas have been shown to hinder patient mobility ( Kevdzija and Marquardt, 2022 ). Consideration should be given to the complexity and design of the building layout as stroke patients often have impaired navigation skills ( Claessen et al, 2017 ; Kevdzija, 2022 ).…”

Section: Commentarymentioning

confidence: 99%

Impact of the built environment on stroke inpatient rehabilitation

Harris

Gibbon

Hill

2023

British Journal of Neuroscience Nursing

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Guidance recommends that people with disability following a stroke should receive rehabilitation in a dedicated stroke inpatient unit. Previous research has indicated that aspects of the built environment of the inpatient setting can impact on patient wellbeing and experience. This article evaluates and discusses the findings of a systematic review that explored the effect of environmental and design factors on stroke rehabilitation.

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“…10 Neurological deficits prevent individuals from carrying out basic needs such as bathing, eating, dressing, urinating, and others. 11 This causes the patient to no longer be able to work or be able to work but with different productivity as before the stroke. Patients who experience this feel irresponsible towards their families and themselves because of financial difficulties and increase the burden of medical costs.…”

Section: Introductionmentioning

confidence: 99%

The Relationship of Perceived Severity and Recurrent Stroke Prevention Behavior at Post-Non-Hemorrhagic Stroke Patients

Rahmawati,

Lahdji,

Anggraini

2024

SEANR

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The lack of individual beliefs about the first stroke can cause an increased risk of recurrent stroke in the future causing individuals to behave less well. The theory that can identify individual beliefs for healthy living behavior is the Health Belief Model (HBM), one of which is perceived severity which is the perception of the seriousness of the severity of an illness. This study aimed to determine the relationship between perceived severity and behavior to prevent recurrent stroke in patients after non-hemorrhagic stroke. The study was quantitative descriptive-analytical research with a cross-sectional approach. The research subjects were 70 non-hemorrhagic post-stroke patients at KRMT Wongsonegoro Hospital, Semarang City, using consecutive sampling techniques. Relationship analysis uses the Spearman rank test. Most respondents had sufficient perceived severity as many as 39 respondents (55.7%) and implemented sufficient recurrent stroke prevention behavior in as many as 42 respondents (60%). The Spearman rank test analysis shows that there is a relationship between perceived severity with Recurrent stroke prevention behavior in non-hemorrhagic post-stroke patients (p=0.000) and (r=0.916). Perceived severity is significantly related to adjusting Recurrent stroke prevention behavior in non-hemorrhagic post-stroke patients.

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Impact of distance on stroke inpatients’ mobility in rehabilitation clinics: a shadowing study

Cited by 9 publications

References 48 publications

Pioneering the Use of Tracker Data to Evaluate Lean-Led Hospital Design

Pioneering the Use of Tracker Data to Evaluate Lean-Led Hospital Design

Impact of the built environment on stroke inpatient rehabilitation

The Relationship of Perceived Severity and Recurrent Stroke Prevention Behavior at Post-Non-Hemorrhagic Stroke Patients

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