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In 2007, the US Institute for Healthcare Improvement proposed “whole system measures” that address structure, process, and outcomes of care. [10] These indicators supply health care leaders with data to evaluate the organization’s performance in order to design strategic QI planning.
Outcomes measures should be relevant to the target of the intervention (be it a single person or a target population). [2] Depending on the design of a trial, outcome measures can be either primary outcomes, in which case the trial is designed around finding an adequate study size (through proper randomization and power calculation). [1]
Routine health outcomes measurement is the process of examining whether or not interventions are associated with change (for better or worse) in the patient's health status. This change can be directly measured (e.g. by rating scales used by the clinician or patient) or assumed by the use of proxy measurement (e.g. a blood test result).
The goal of outcomes research, is to measure tangible events experienced by the patient such as mortality and morbidity. [2] Patient engagement in research presents opportunities to increase outcomes of both the studies themselves as well as the patients and their medical conditions.
The most common form of impact evaluation design is comparing two groups of individuals or other units, an intervention group that receives the program and a control group that does not. The estimate of program effect is then based on the difference between the groups on a suitable outcome measure (Rossi et al., 2004).
These measurement "characteristics" are termed constructs and the questionnaires used to collect them, termed instruments, measures, scales or tools. [3] [4] Typically, PRO tools must undergo extensive validation and testing. [5] [6] A questionnaire that measures a single construct is described as unidimensional. Items (questions) in a ...
Behavioral health outcome management (BHOM) involves the use of behavioral health outcome measurement data to help guide and inform the treatment of each individual patient. Like blood pressure, cholesterol and other routine lab work that helps to guide and inform general medical practice, the use of routine measurement in behavioral health is ...
Cost-effectiveness analysis (CEA) is a form of economic analysis that compares the relative costs and outcomes (effects) of different courses of action. Cost-effectiveness analysis is distinct from cost–benefit analysis , which assigns a monetary value to the measure of effect. [ 1 ]