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Outcome Research vs. Traditional Research

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Outcome Research vs. Traditional Research

Discussion Question: what ‘outcomes research’ is, and how does ‘outcomes research’ differ from traditional research? What is the conventional research statisticians’ position towards outcome research?

Outcome research is an approach to determining the end results of a patient’s intervention in a healthcare system. This research method examines the data in terms of its efficiency, cost-effectiveness, as well as how safe and equitable it is. Outcome research has become popular and significant in contemporary medicine. In this study method, an outcome measure is termed as a tool utilized to assess the current status of a patient. Outcome examination may, therefore, offer a score, result interpretations as well as patient’s risk categorization (Braithwaite et al., 2019). For that reason, outcome research provides what we can refer to as baseline data before giving any intervention.

The end results of an outcome research study can be utilized to inform the decisions of healthcare bodies that are involved in decision-making processes, and also other financial organization such as government, employers, and insurer that seek to reduce waste and cost and at the same time provide acceptable service level (Braithwaite et al., 2019). In simple words, outcome research help a firm or a company to minimize running costs by getting rid of instances of waste while carrying out given research in the business.

In the field of the healthcare system, outcome measures are grouped into seven categories, which include mortality, care safety, readmissions, patient experience, and effectiveness of care, timeliness, and data transparency (Braithwaite et al., 2019). Application of outcome research study improves treatment as it studies the end results of the service. It provides evidence for a given medical treatment value.

The critical difference between the outcome research and traditional research is the outcome methodology is typically examined from the perspectives of the patient and expanded examination of the results are applied in treatment; an example is cost-effectiveness and quality of life (Braithwaite et al., 2019).  Traditional research statisticians believe that, however much the outcome study approach is right, it is essential to focus on getting strategic input to pre-medical research.

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