The study that is summarized aimed to further delve into the current roles of hospitalization in prescribing error hazards and medication-related communication as patients are taken back and forth to ambulatory care. Many hazards come about in a hospital setting but a prescribing error is caused by the individual working for the health-care institution. The change-over between diverse levels of health-care, like hospital admission and discharge, display a large threat to the quality and continuance of drug therapy and that is what we will be discussing.
The writing that is being summarized displays a clear understanding on how someone can analyze and decipher a given set of data using inferential statistics. The writing used, involved a research study on "Influence's that hospitalization has on prescribing safety across the continuum of care". The main ideal of the study was exploring the role played by hospitalization towards exposure to …show more content…
The sampling method was also used to collect data from the various health records such as referral letters and doctors recommendations. The collected data was analyzed using various tests. First 95% confidence was calculated using Clopper-Pearson binomial distributions assumptions. Binary logistic regression with the help of step-wise approach was used to identify the risk factors that lead to inappropriate prescribing as a result of hospitalization.
The benefits that go along with correlation and regression analysis is the notion that it is easy to work out and interpret. The research told readers that only 1 out of 19 patients can receive the same standard of medication as they come into hospitals as well as the time of leave the health-care establishment. The remaining patients are exposed to alterations between the entrance (admission) and discharge Medications. It is stated thaat almost 9 out of 10 of all the affected patients go through medication
The writing that is being summarized displays a clear understanding on how someone can analyze and decipher a given set of data using inferential statistics. The writing used, involved a research study on "Influence's that hospitalization has on prescribing safety across the continuum of care". The main ideal of the study was exploring the role played by hospitalization towards exposure to …show more content…
The sampling method was also used to collect data from the various health records such as referral letters and doctors recommendations. The collected data was analyzed using various tests. First 95% confidence was calculated using Clopper-Pearson binomial distributions assumptions. Binary logistic regression with the help of step-wise approach was used to identify the risk factors that lead to inappropriate prescribing as a result of hospitalization.
The benefits that go along with correlation and regression analysis is the notion that it is easy to work out and interpret. The research told readers that only 1 out of 19 patients can receive the same standard of medication as they come into hospitals as well as the time of leave the health-care establishment. The remaining patients are exposed to alterations between the entrance (admission) and discharge Medications. It is stated thaat almost 9 out of 10 of all the affected patients go through medication