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Abstract

Background

Compliance with infection prevention and control (IPC) measures is critical to preventing COVID-19 transmission in healthcare settings.

Aim

To identify and explain factors influencing compliance with COVID-19-specific IPC measures among healthcare workers (HCWs) in long-term care facilities (LTCF) in Finland.

Methods

The study included a web-based survey and qualitative study based on the Theoretical Domains Framework (TDF). The link to the anonymous survey was distributed via email to LTCFs through regional IPC experts in December 2020. Outcome was modelled using ordinary logistic regression and penalised ridge logistic regression using regrouped explanatory variables and an original, more correlated set of explanatory variables, respectively. In-depth interviews were conducted among survey participants who volunteered during January–March 2021. Data were analysed thematically using qualitative data analysis software (NVIVO12).

Results

A total of 422 HCWs from 17/20 regions responded to the survey. Three TDF domains were identified that negatively influenced IPC compliance: environmental context and resources, reinforcement and beliefs about capabilities. Twenty HCWs participated in interviews, which resulted in identification of several themes: changes in professional duties and lack of staff planning for emergencies (domain: environmental context and resources); management culture and physical absence of management (domain: reinforcement), knowledge of applying IPC measures, nature of tasks and infrastructure that supports implementation (domain: beliefs about capabilities), that explained how the domains negatively influenced their IPC behaviour.

Conclusions

This study provides insights into behavioural domains that can be used in developing evidence-based behaviour change interventions to support HCW compliance with pandemic-specific IPC measures in LTCFs.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
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2022-10-06
2024-12-21
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Exploring behavioural factors influencing COVID-19-specific infection prevention and control measures in Finland: a mixed-methods study, December 2020 to March 2021
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=Anna-Leena+Lohiniva&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Lohiniva Anna-Leena</a>, <a href="/search?value1=Saija+Toura&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Toura Saija</a>, <a href="/search?value1=Dinah+Arifulla&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Arifulla Dinah</a>, <a href="/search?value1=Jukka+Ollgren&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Ollgren Jukka</a>, <a href="/search?value1=Outi+Lyytik%C3%A4inen&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Lyytikäinen Outi</a></span>. Exploring behavioural factors influencing COVID-19-specific infection prevention and control measures in Finland: a mixed-methods study, December 2020 to March 2021. <a href="/content/ecdc">Euro Surveill.</a> 2022;27(40):pii=2100915. <a href="https://doi.org/10.2807/1560-7917.ES.2022.27.40.2100915" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2022.27.40.2100915</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 16 Sept 2021;&nbsp;&nbsp; <span class="generated">Accepted</span>: 29 Aug 2022 </span> </p>
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