Hypothesis testing involves testing of two different hypotheses about a given population, which are the null, and the alternative hypothesis (Roy, 2017). This is meant to determine whether to accept or reject a certain specific aspect about the population by identifying the differences or effects that occur in a given population. Hypothesis testing can be used in the different healthcare fields, which include dentistry and biology to help a healthcare practitioner in making important decisions (Roy, 2017). A health care professional in public health can apply hypotheses testing in determining the length of stay of patients admitted in the hospital suffering from certain health conditions.
This can be done by analyzing the effectiveness of certain medications and medical processes in providing optimum care to the patients (Roy, 2017). This will help in providing information related to a specific illness and the treatment procedures employed which may help the nurse in making important decisions related to the care or medications provided to the patients (Roy, 2017). Another example were a healthcare practitioner may use hypothesis testing is in determining the effectiveness of a certain type of medication in addressing a particular illnesses. This will involve an analysis on the outcomes of the drug as well as any risks and side effects associated with the drug (Khakshooy & Chiappelli, 2018).
The drug can also be compared to other available drugs to determine whether the drug should continue being used or discontinued form the healthcare facility. A nurse can also apply hypothesis testing in determining the impact of a health educational program on specific patients (Khakshooy & Chiappelli, 2018). This can be determined by analyzing the outcome of the education program to the patients through patient outcomes. Some of the health education programs include the implementation of preventive strategies to improve the health status of patients (Khakshooy & Chiappelli, 2018).
Khakshooy, A. M., & Chiappelli, F. (2018). Practical biostatistics in translational healthcare. Berlin, Germany: Springer.
Roy, J. (2017). Biostatistics for the biological and health sciences. London. Pearson Education.