ipl-logo

Examples Of Consumer Demographics

991 Words4 Pages

Consumer Demographics The consumer I have been working with at Journey Mental Health Center (JMHC) is a Caucasian male of European descent. The consumer appears his stated age which is in his mid to late thirties. Consumer is currently unemployed but is financially supported by collecting social security disability income (SSDI). This Consumer has a dual diagnosis of bipolar disorder 1 and generalized anxiety disorder. Consumer’s stated reason for seeking out services was concerns around increasing anxiety and current medication no longer effectively managing his anxiety symptoms. The consumer is most concerned about the increasing number of panic attacks and learning coping skills to manage his anxiety and panic attacks. Consumer reported …show more content…

Similar to the idea “the whole is greater than the sum of its parts” (McLeod, 2008) meaning there are certain parts of a system that cannot be simply explained by some lower order operation. Chaos theory adopts the idea of the “butterfly effect” as one of the main components. It is the idea that a small action creates a disproportionately larger effect in another person or system. An example of this could be a person who recently lost a loved one and is grieving and receives kind words or a hug from another individual. The kind words or hug are a small action but the result may be an overwhelming sense of comfort and relief felt by the person who is currently grieving (Brabender, 2000). This result is like putting in 10 units into a machine and getting out a 100 units. The reason for the significant increase is unclear but is not easily understood by breaking apart the interaction and reducing it …show more content…

While it is likely that after therapy the consumer may find themselves in a state that is similar to their preferred level of functioning it is not the same. The process of getting “back” to where the consumer started was actually a long and multi-branched change process that results in the consumer being uniquely different than when they first came in seeking services. The changes that have occurred could not have been predicted by the therapist. For example, the consumer seeking therapeutic services attends weekly sessions but the change that occurs is not equal from one session to the next. It is only after the change occurred that the therapist can attempt to explain why one session was so impactful for the consumer compared to a different session. This retrospective view ultimately indicates that our ability to predict future events is hazy at best and therefore necessary for therapists to move away from traditional ideas of

Open Document