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Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] For instance, repeated measurements are collected in a longitudinal study in which change over time is assessed.
This subversion has been the justification for repeated attempts to improve process and thus outcomes by reorganizing the structure of health care, wittily described by Oxman et al. [16] Donabedian himself cautioned that outcomes measurement cannot distinguish efficacy from effectiveness: (outcomes may be poor because the right treatment is ...
This means the measure has a Specific purpose for the business, it is Measurable to really get a value of the KPI, the defined norms have to be Achievable, the improvement of a KPI has to be Relevant to the success of the organization, and finally it must be Time phased, which means the value or outcomes are shown for a predefined and relevant ...
In some studies, attainment of HEDIS measures is associated with cost-effective practices or with better health outcomes. In a 2002 study, HEDIS measures "generally reflect[ed] cost-effective practices". [11] A 2003 study of Medicare managed care plans determined that plan-level health outcomes were associated with HEDIS measures. [12]
A continual improvement process, also often called a continuous improvement process (abbreviated as CIP or CI), is an ongoing effort to improve products, services, or processes. [1] These efforts can seek " incremental " improvement over time or "breakthrough" improvement all at once. [ 2 ]
One application of multilevel modeling (MLM) is the analysis of repeated measures data. Multilevel modeling for repeated measures data is most often discussed in the context of modeling change over time (i.e. growth curve modeling for longitudinal designs); however, it may also be used for repeated measures data in which time is not a factor. [1]
In behavioral healthcare (mental health and substance abuse treatment) routine health outcomes measurement has expanded beyond aggregating measurements for quality improvement studies and has placed equal emphasis on the therapeutic gain delivered by real-time patient-level outcome feedback. [1]
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.