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Informatics and Nursing Sensitive Quality Indicators
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Informatics and Nursing Sensitive Quality Indicators
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1Informatics and Nursing Sensitive Quality Indicators
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Informatics and Nursing Sensitive Quality Indicators
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Overview
Evaluating and determining patient conditions in a healthcare facility are the primary
objectives of nursing-sensitive quality indicators, particularly in hospitalized patients. Nurses
are able to analyze data using nursing-sensitive quality indicators based on specific nursing
indicators. Nursing sensitive indicators reflect on three major aspects: process, outcome, and
structure, which help nurses, determine the care levels required to influence better patient
safety outcomes. Pain management, RN certification, and education, and physical restraint
use are among the reportable NDNQI indicators. Likewise, state, perceptions, or behavior are
measurable nursing-sensitive patient outcomes sensitive to nursing interventions. This video
will explain what NDNQI, structural indicators, give multidisciplinary approaches, and
explore evidence-based practice guidelines for the quality measure.
What is the NDNQI?
NDNQI (The National Database of Nursing Quality Indicators) is a nursing database,
which generates trimestral and yearly reporting of process, structure, and outcome pointers to
assess unit-level nursing care. It is a database with tools to measure the quality of nursing
care in a hospital. Evaluation is done by comparing facility reports at the national, regional,
and state levels. The body's primary goal is to establish tools and frameworks for comparing
hospital’s quality improvement activities, which include the effect of nursing care on patient
outcomes and satisfaction (Heslop & Lu, 2014, Sage & Harris, 2018). However, to achieve
these, nursing-sensitive indicators generate essential quality evidence-based data for nurses to
give quality care. Although there is an annual update of quality indicators, the main emphasis
is on care coordination, pain, patient falls, job satisfaction, pressure sores, and working hours
(Heslop & Lu, 2014).
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