Strategy Development to Reduce Absence Due To Illness In East Sussex Fire and Rescue OperationsStrategy Development to Reduce Absence Due To Illness In East Sussex Fire and Rescue OperationsIntroductionFire-fighters and rescue personnel face some of the most stress related factors at work. To assist these public safety professionals, it behoves fire and rescue managers to develop strategies with which to combat absence due to illness. “A project manager cannot take ownership of a project without believing in it. If the project manager cannot buy into the project then there is little chance that he or she can influence other project participants to buy in. ” (Frigenti & Comninos, 2006).
In the light of this insight, justification of the approach to planning this project hinges upon building value to the community as to why the development of the project is important, how it targets factors related to absence due to illness, and what it can due to reduce the frequency. Systematically applied theories to this complex problem solving task relative to Fire & Rescue Operations requires a interdisciplinary behavioural research approach.
The overall goal of this project is to reduce incidence of absenteeism due to illness among fire and rescue workers in East Essex. Common Sources of Illness and Fatigue Among fire and rescue workers in East EssexAlthough the primary source of illness and fatigue among fire and rescue workers in East Essex can be simply described as work-related stress, work-related-stress itself takes many forms among this particular demographic. These range from exposure to heat, to aftermaths of fires and rescue operations, to traumatic stress prevalent in the workplace. These sometimes take the form of cardio and respiratory illnesses and Post-Traumatic Stress Disorder (PTSD).
Another factor is simply the effects of ageing So, for the purposes of this project, managers will focus on behaviourally-related mitigation of these behaviourally-related sources of stress, illness, and fatigue among fire and rescue workers in East Essex in East Essex. Implementation PitfallsThe process by which these factors and their relevant solutions can be implemented and measured for effectiveness hinges upon an empirical modelling of the needs of the sample population. It takes so many resources to properly implement health programs that it necessitates a continuous process of evaluation to reduce the incidence of abusive policies.
Following the planning phase, the implementation process is scrutinized by similar criteria. Poor allocation of resources reduces confidence participants may have in a project, and without effective mass communication, not enough people might even know about it. Furthermore, the actual method of implementation plays a huge roll in the probability of success. Whether evaluating, planning, implementation, or the evaluation method itself, it is hardly possible to separate one from the other in some cases. Logic ModellingThe planning, implementation, and evaluation paradigm used in developing this project is known as logic modelling In logic modelling, empirical evaluation of public needs, program design, and evaluation are all part and parcel to the overall initiative.
The process typically begins with identifying a public need based on some observation – like behavioural factorials in fire and rescue workers in East Essex. Based on the findings of this preliminary investigation and previously evaluated programs from whatever applicable source, a rudimentary program is put in place for a pilot study. The scientific evidence and cues from public opinion surveys of participants are fed back into the process to augment and bolster the procedures.
This way the program becomes somewhat self-improving and self-governing to some extent. With such measures regularly monitored, ineffective processes and programs can be readily put on the chopping block. For example, parts of the this project program that are both ineffective and unaccepted by the demographic are scaled back to maximize the effectiveness of the program while reducing government expenditures on processes that did not work all that well based on the investment.
Logic modelling helps government maximize the return on investment with respect to government programs.