Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations

dc.contributor.advisorFortuin, Jill
dc.contributor.advisorDouglas, Tania
dc.contributor.authorWessels, Maatje
dc.date.accessioned2022-03-30T10:06:47Z
dc.date.available2022-03-30T10:06:47Z
dc.date.issued2021
dc.date.updated2022-03-22T13:48:41Z
dc.description.abstractPatient safety events are likely to be one of the ten leading causes of death and disability in the world (World Health Organization, 2020). To manage safety, healthcare organisations have traditionally focused on identifying failures, performing analysis of events, and developing strategies to reduce the failures. Several thought leaders have argued that the traditional method is not adequate to manage safety in a complex environment. Their argument is that safety management should not solely focus on what went wrong, it should also include efforts which enable things to go right more often. If healthcare organisations want to broaden their approach towards managing safety, suitable methods must be investigated. The Functional Resonance Analysis Method (FRAM) was developed by Hollnagel in 2004 and has been applied in high-risk industries such as railway, aviation, maritime and healthcare. FRAM investigates the interaction of the different functions within a complex, underspecified system, and improves the understanding of normal work and its variability (Hollnagel, 2012). This systematic review will assess the application of FRAM in healthcare settings to develop a rich understanding of the application of FRAM in healthcare as a complementary method to safety management. Firstly, understanding how FRAM was implemented within healthcare organisations and secondly understanding how healthcare organisations have perceived the value-add of FRAM in terms of safety management. The results are expected to provide healthcare organisations with guidance on applying the FRAM and demonstrate the value it potentially adds to safety management. In the studies reviewed, FRAM was applied in a wide variety of settings and in different contexts. Thematic value-added aspects were identified and discussed. Shortcomings and prerequisites for the application of FRAM was also highlighted. This dissertation wishes to motivate healthcare organisations to investigate and apply alternative methods such as FRAM to enhance their ability to manage safety in a complex environment.
dc.identifier.apacitationWessels, M. (2021). <i>Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations</i>. (). ,Faculty of Health Sciences ,Division of Biomedical Engineering. Retrieved from http://hdl.handle.net/11427/36236en_ZA
dc.identifier.chicagocitationWessels, Maatje. <i>"Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations."</i> ., ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2021. http://hdl.handle.net/11427/36236en_ZA
dc.identifier.citationWessels, M. 2021. Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations. . ,Faculty of Health Sciences ,Division of Biomedical Engineering. http://hdl.handle.net/11427/36236en_ZA
dc.identifier.ris TY - Master Thesis AU - Wessels, Maatje AB - Patient safety events are likely to be one of the ten leading causes of death and disability in the world (World Health Organization, 2020). To manage safety, healthcare organisations have traditionally focused on identifying failures, performing analysis of events, and developing strategies to reduce the failures. Several thought leaders have argued that the traditional method is not adequate to manage safety in a complex environment. Their argument is that safety management should not solely focus on what went wrong, it should also include efforts which enable things to go right more often. If healthcare organisations want to broaden their approach towards managing safety, suitable methods must be investigated. The Functional Resonance Analysis Method (FRAM) was developed by Hollnagel in 2004 and has been applied in high-risk industries such as railway, aviation, maritime and healthcare. FRAM investigates the interaction of the different functions within a complex, underspecified system, and improves the understanding of normal work and its variability (Hollnagel, 2012). This systematic review will assess the application of FRAM in healthcare settings to develop a rich understanding of the application of FRAM in healthcare as a complementary method to safety management. Firstly, understanding how FRAM was implemented within healthcare organisations and secondly understanding how healthcare organisations have perceived the value-add of FRAM in terms of safety management. The results are expected to provide healthcare organisations with guidance on applying the FRAM and demonstrate the value it potentially adds to safety management. In the studies reviewed, FRAM was applied in a wide variety of settings and in different contexts. Thematic value-added aspects were identified and discussed. Shortcomings and prerequisites for the application of FRAM was also highlighted. This dissertation wishes to motivate healthcare organisations to investigate and apply alternative methods such as FRAM to enhance their ability to manage safety in a complex environment. DA - 2021_ DB - OpenUCT DP - University of Cape Town KW - Health Innovation LK - https://open.uct.ac.za PY - 2021 T1 - Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations TI - Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations UR - http://hdl.handle.net/11427/36236 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/36236
dc.identifier.vancouvercitationWessels M. Impact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations. []. ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2021 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/36236en_ZA
dc.language.rfc3066eng
dc.publisher.departmentDivision of Biomedical Engineering
dc.publisher.facultyFaculty of Health Sciences
dc.subjectHealth Innovation
dc.titleImpact of the Functional Resonance Analysis Method (FRAM) in safety management at healthcare organisations
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMPhil
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
thesis_hsf_2021_wessels maatje.pdf
Size:
2.06 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description:
Collections