Dataset Information

Reality shock in radiography: fact or fiction? Findings from a phenomenological study in Durban, South Africa.

ABSTRACT:

Background

Globally, the phenomenon of reality shock is a major contributor to the attrition of healthcare professionals. Reality shock negatively impacts on initial workplace transition, productivity, and ultimately, employee retention, hence it is important to ascertain its causative factors so that measures can be taken to mitigate its effects. Relative to other health professions, the field of radiography has been slow in detailing the occurrence of reality shock, and attrition is a major problem affecting the profession. In South Africa, a dearth of data exists pertaining to the potential presence of reality shock amongst newly-graduated radiographers as they transition to the workplace.

Methods

A phenomenological approach was used. Seven newly-graduated radiographers provided their perceptions of their initial workplace experiences. In-depth, one-on-one, face to face interviews were conducted, audio recorded, and transcribed verbatim before interpretive phenomenological analysis was conducted on the obtained data.

Findings

Three main themes emerged relating to increased responsibility, being undermined, and feeling overwhelmed. Respondents felt pressurized by their increased responsibilities when they commenced employment. They also felt undermined by their more experienced colleagues, and they were overwhelmed by the new work routine, which resulted in reality shock.

Conclusions

Curricula at institutions of higher education need to include courses which educate student radiographers on what to expect within the workplace as autonomous practitioners. Heads of imaging departments must create structured induction programs for new employees for adequate orientation and mentoring to reduce reality shock.

SUBMITTER: Chipere TGA

PROVIDER: S-EPMC6593581 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Publications

Reality shock in radiography: fact or fiction? Findings from a phenomenological study in Durban, South Africa.

Chipere Tawanda Gilbert Alfred TGA Nkosi Pauline Busisiwe PB

BMC psychology 20190625 1

<h4>Background</h4>Globally, the phenomenon of reality shock is a major contributor to the attrition of healthcare professionals. Reality shock negatively impacts on initial workplace transition, productivity, and ultimately, employee retention, hence it is important to ascertain its causative factors so that measures can be taken to mitigate its effects. Relative to other health professions, the field of radiography has been slow in detailing the occurrence of reality shock, and attrition is a ...[more]

PMID: 31238986

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Project description:Multiple land use regression models (LUR) were developed for different air pollutants to characterize exposure, in the Durban metropolitan area, South Africa. Based on the European Study of Cohorts for Air Pollution Effects (ESCAPE) methodology, concentrations of particulate matter (PM10 and PM2.5), sulphur dioxide (SO2), and nitrogen dioxide (NO2) were measured over a 1-year period, at 41 sites, with Ogawa Badges and 21 sites with PM Monitors. Sampling was undertaken in two regions of the city of Durban, South Africa, one with high levels of heavy industry as well as a harbor, and the other small-scale business activity. Air pollution concentrations showed a clear seasonal trend with higher concentrations being measured during winter (25.8, 4.2, 50.4, and 20.9 µg/m3 for NO2, SO2, PM10, and PM2.5, respectively) as compared to summer (10.5, 2.8, 20.5, and 8.5 µg/m3 for NO2, SO2, PM10, and PM2.5, respectively). Furthermore, higher levels of NO2 and SO2 were measured in south Durban as compared to north Durban as these are industrial related pollutants, while higher levels of PM were measured in north Durban as compared to south Durban and can be attributed to either traffic or domestic fuel burning. The LUR NO2 models for annual, summer, and winter explained 56%, 41%, and 63% of the variance with elevation, traffic, population, and Harbor being identified as important predictors. The SO2 models were less robust with lower R2 annual (37%), summer (46%), and winter (46%) with industrial and traffic variables being important predictors. The R2 for PM10 models ranged from 52% to 80% while for PM2.5 models this range was 61-76% with traffic, elevation, population, and urban land use type emerging as predictor variables. While these results demonstrate the influence of industrial and traffic emissions on air pollution concentrations, our study highlighted the importance of a Harbor variable, which may serve as a proxy for NO2 concentrations suggesting the presence of not only ship emissions, but also other sources such as heavy duty motor vehicles associated with the port activities.

Dataset Information

Reality shock in radiography: fact or fiction? Findings from a phenomenological study in Durban, South Africa.

Background

Methods

Findings

Conclusions

Publications

Reality shock in radiography: fact or fiction? Findings from a phenomenological study in Durban, South Africa.

Similar Datasets

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