title: Tailoring Healthy Workplace Interventions to Local Healthcare Settings: A Complexity Theory-Informed Workplace of Well-Being Framework.
abstract: Many healthy workplace interventions have been developed for healthcare settings to address the consistently low scores of healthcare professionals on assessments of mental and physical well-being. Complex healthcare settings present challenges for the scale-up and spread of successful interventions from one setting to another. Despite general agreement regarding the importance of the local setting in affecting intervention success across different settings, there is no consensus on what it is about a local setting that needs to be taken into account to design healthy workplace interventions appropriate for different local settings. Complexity theory principles were used to understand a workplace as a complex adaptive system and to create a framework of eight domains (system characteristics) that affect the emergence of system-level behaviour. This Workplace of Well-being (WoW) framework is responsive and adaptive to local settings and allows a shared understanding of the enablers and barriers to behaviour change by capturing local information for each of the eight domains. We use the results of applying the WoW framework to one workplace, a UK National Health Service ward, to describe the utility of this approach in informing design of setting-appropriate healthy workplace interventions that create workplaces conducive to healthy behaviour change.
authors.affiliation: Plymouth University Peninsula Schools of Medicine and Dentistry, Plymouth PL6 8BX, UK.
authors.forename: Sarah L
authors.initials: SL
authors.lastname: Brand
authors.affiliation: European Centre for Environment and Human Health, University of Exeter Medical School, Truro TR1 3HD, UK.
authors.forename: Lora E
authors.initials: LE
authors.lastname: Fleming
authors.affiliation: University of Exeter Medical School, Exeter EX2 4SG, UK.
authors.forename: Katrina M
authors.initials: KM
authors.lastname: Wyatt
mesh_terms: D006282:Health Personnel / Q000523:psychology*; D006801:Humans; D008960:Models, Psychological; D016272:Occupational Health; D013222:State Medicine; D011795:Surveys and Questionnaires; D006113:United Kingdom; D000078329:Workforce; D017132:Workplace / Q000145:classification / Q000458:organization & administration / Q000523:psychology*