Relationship between patient satisfaction and time on shift in CT. V1
Research type
Research Study
Full title
Primary research comparing patient satisfaction levels after experiencing care from staff working a 8 hour and 12 hour period on shift. Investigating the relationship between staff in a CT scanning department working an increased shift length of 13-hour days and whether this increase effects levels of patient satisfaction in comparison to the previous 8 hour shift day?
IRAS ID
227854
Contact name
Louise McKnight
Contact email
Sponsor organisation
Birmingham City University
Duration of Study in the UK
0 years, 1 months, 16 days
Research summary
Primary research comparing patient satisfaction levels after experiencing care from staff working an 8 hour and 12-hour period on shift. Investigating the relationship between staff in a CT scanning department working an increased shift length of 13-hour days and whether this increase effects levels of patient satisfaction in comparison to the previous 8-hour shift day?
The research aims to quantify patient satisfaction relative to the time they are scanned to compare how changes from 8 hour to 12-hour shift effect patient satisfaction levels. Establishing whether patients identify the length of hours worked as correlating with a fluctuating standard of service or care. The gap I intend to research is of there being no recent study of whether patient satisfaction has changed with instigation of long shifts.The proposed quantitative methodology is a survey type questionnaire with closed questions. The questionnaire will have a covering letter in the envelope explaining the objective of the research to the participants and containing a number which is identical to one on their survey in this way a patient can quote this if they want to withdraw from the study and their response questionnaire removed and destroyed without identification. The investigative tool is a structured questionnaire formulated by CQC, answers are dependent on perceptions of an individual and Interpretation and correlation of responses to be formatted systematically on an ordinal scale. The questionnaires will be given to a convenience sample of 99 CT patients because this evenly splits into 3 groups allowing for the number of participants to be collected within the 5-week timeframe as this is a time limited study due to the educational time restrictions for an MSc. A Cronbach’s power calculation will be made to ensure that 99 is a sufficient sample number for the research to be valid before commencement. Selection of participants will be patients that attend at a set time on a Friday when seeing the same staff so receiving the same carers and care until we reach a total of 33 in each timeframe. Responses with be collated at 0-1 hours, 7-8 hours and at 12 hours on shift to simulate responses from patients experiencing different shift lengths and a control group as a baseline measurement. A stratified random sample of a predetermined number with age as the only exclusion criteria is to be used. The patients will be asked to participate but refusal would be accepted
Government papers state all CT services should start working 24/7; so, information is needed on if working these hours have any effect to the patient. The results and feedback from my research is intended to help ensure services are perceived by the patient to not be compromising on care or quality to increase capacity and reach government targets.
The changing working patterns may influence patients coming into a healthcare setting. This factor has never been adequately researched especially not in a CT department where it is increasingly demanded that changes be made toward extended days to allow 24/7 working of this limited resource and hence increased capacity.
REC name
South Central - Hampshire B Research Ethics Committee
REC reference
17/SC/0467
Date of REC Opinion
21 Nov 2017
REC opinion
Further Information Favourable Opinion