Ways in which healthcare interior environments are associated with perceived safety against infectious diseases and coping behaviours

Bae, Suyeon

doi:10.1016/j.jhin.2020.06.022

Cited by 7 publications

(6 citation statements)

References 38 publications

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“…This behavior has become increasingly prevalent during viral outbreaks. People fear contracting the virus through surface contact or in the air, with hospitals being viewed as particularly high‐risk environments where chairs, tables, papers, door handles, medical equipment, and even individuals are considered potential sources of infection (Bae, 2020). The fear of contamination has initiated self‐protective/safety‐seeking behaviors, including social distancing, isolation, contactless shopping and payment, and increased reliance on technology to reduce direct human contact (Khatoon et al, 2023; Kim & Im, 2022; Mehrolia et al, 2020; Milaković, 2021; Saltzmann & Boenigk, 2022; Yap et al, 2021).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Intention to use telemedicine services during a health crisis: A motivation‐opportunity‐ability theory approach

Atmaja,

Wu,

Guttena

et al. 2024

Int J Consumer Studies

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Telemedicine, despite its longstanding presence, has emerged as a valuable resource amidst health crises. Yet, research on individuals' willingness to embrace telemedicine in such circumstances remains scarce. This article employs the Motivation–Opportunity–Ability theory to construct a novel framework for investigating how motivational, opportunity‐related, and ability‐related factors influence individuals' intention to use telemedicine during a health crisis. A sample of 468 respondents from Indonesia participated in an online survey. The data were analyzed using covariance‐based structural equation modeling and the Hayes PROCESS macro. The findings revealed that contamination avoidance, telemedicine usability, and privacy concerns significantly influence the intention to use telemedicine services. Moreover, the findings also confirmed the moderated moderating effect of e‐health literacy and technology optimism on the relationship between contamination avoidance and intention to use telemedicine services. By deepening our understanding of the factors shaping individuals' intention to use telemedicine services, this study makes valuable academic contributions to the field of telemedicine adoption literature. Additionally, it provides practical insights for telemedicine providers aiming to enhance individuals' intention to use telemedicine services during critical health situations.

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Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Intention to use telemedicine services during a health crisis: A motivation‐opportunity‐ability theory approach

Atmaja,

Wu,

Guttena

et al. 2024

Int J Consumer Studies

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“…Nevertheless, IPC is a complex system that entails numerous system-related components, including the individuals, workload, and the tools used and environment, etc. [ 5 , 8 – 10 ]. Each of these system-related elements may pose risks for HCAI acquisition, making it essential to take into account all the system-related factors with respect to improve IPC behaviors.…”

Section: Introductionmentioning

confidence: 99%

Nurses’ preferences for interventions to improve infection prevention and control behaviors based on systems engineering initiative to patient safety model: a discrete choice experiment

Zhou,

Liu,

Zheng

et al. 2024

BMC Nurs

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Background The evidence of preferences for infection prevention and control (IPC) intervention from system perspective was lacked. This study aimed to elicit nurses’ preferences for the intervention designed to improve IPC behaviors based on the Systems Engineering Initiative to Patient Safety (SEIPS) model using Discrete Choice Experiment (DCE). Methods A DCE was conducted among nurses who were on active duty and willing to participate from July 5th to 10th, 2021 in a tertiary hospital in Ganzhou City, Jiangxi Province, using convenience sampling. A self-administered questionnaire included scenarios formed by six attributes with varying levels based on SEIPS model: person, organization, tools and technology, tasks, internal environment and external environment. A conditional logit and latent class logit model were performed to analyze the data. Results A total of 257 valid questionnaires were analyzed among nurses. The results from the latent class logit model show that nurses’ preferences can be divided into three classes. For nurses in multifaceted-aspect-preferred class (41.9%), positive coefficients were obtained in those six attributes. For person-preferred class (19.7%), only person was positively significant. For environment-preferred class (36.4%), the most important attribute were tasks, tools and technology, internal environment and external environment. Conclusions This finding suggest that nurses have three latent-class preferences for interventions. Multifaceted interventions to improve IPC behaviors based on the SEIPS model are preferred by most nurses. Moreover, relevant measured should be performed targeted the latent class of person-preferred and external-environment-preferred nurses.

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“…Numerous studies have investigated the in uence of system-related factors on IPC behaviors, such as workload, hand hygiene equipment, comfort of protective equipment, and layout, among others. [5,10]. Each of these systemrelated elements may pose risks for HCAI acquisition, making it essential to take into account all the system-related factors with respect to improve IPC behaviors.…”

Section: Introductionmentioning

confidence: 99%

Nurses’ Preferences for Interventions to Improve Infection Prevention and Control Behaviors based on Systems Engineering Initiative to Patient Safety Model: A Discrete Choice Experiment

Zhou,

Liu,

Zheng

et al. 2023

Preprint

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Background The evidence of preferences for infection prevention and control (IPC) intervention from system perspective was lacked. This study aimed to elicit nurses' preferences for the intervention designed to improve IPC behaviors based on the Systems Engineering Initiative to Patient Safety (SEIPS) model using Discrete Choice Experiment (DCE). Methods A DCE was conducted among nurses from July 5th to 10th, 2021. Scenarios were formed by six attributes with varying levels based on SEIPS model: person, organization, tools and technology, tasks, internal environment and external environment. A conditional logit model and latent class logit model were performed to analyze the data. Results A total of 257 valid questionnaires were analyzed among nurses. The results from the latent class logit model show that nurses’ preferences can be divided into three classes. For class one (41.9%), positive coefficients were obtained in those six attributes. For class two (19.7%) only person was positively significant. For class three (36.4%), the most important attribute were tasks, tools and technology, internal environment and external environment. Conclusions This finding suggest that nurses have three latent-class preferences for interventions. Multifaceted interventions to improve IPC behaviors based on the SEIPS model are preferred by most nurses. Moreover, relevant measured should be performed targeted the latent class of person-preferred and external-environment-preferred nurses.

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Ways in which healthcare interior environments are associated with perceived safety against infectious diseases and coping behaviours

Cited by 7 publications

References 38 publications

Intention to use telemedicine services during a health crisis: A motivation‐opportunity‐ability theory approach

Intention to use telemedicine services during a health crisis: A motivation‐opportunity‐ability theory approach

Nurses’ preferences for interventions to improve infection prevention and control behaviors based on systems engineering initiative to patient safety model: a discrete choice experiment

Nurses’ Preferences for Interventions to Improve Infection Prevention and Control Behaviors based on Systems Engineering Initiative to Patient Safety Model: A Discrete Choice Experiment

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