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Related Concept Videos

Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...

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Related Experiment Video

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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

The Quality Indicator Survey: background, implementation, and widespread change.

Michael K Lin1, Andrew M Kramer

  • 1University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania 15261, USA. linm@pitt.edu

Journal of Aging & Social Policy
|December 22, 2012
PubMed
Summary
This summary is machine-generated.

The Quality Indicator Survey (QIS) enhances nursing home oversight by standardizing resident care assessments. While initially increasing deficiencies, QIS promotes consistency and resident-centered quality improvement.

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Area of Science:

  • Healthcare policy and regulation
  • Gerontology and long-term care
  • Quality improvement in healthcare

Background:

  • The Quality Indicator Survey (QIS) represents a significant regulatory overhaul for nursing homes, superseding the Omnibus Budget Reconciliation Act of 1987 (OBRA-87).
  • Developed over a decade, QIS was initiated nationally by the Centers for Medicare and Medicaid Services (CMS) in 2007.
  • The primary goals of QIS are to enhance survey consistency and create a more resident-centered approach, aligning with OBRA-87's objectives.

Purpose of the Study:

  • To detail the policy background and evolution leading to the QIS.
  • To summarize the methodology, implementation, and survey results of the QIS.
  • To analyze the impact of QIS on nursing home deficiencies and regulatory practices.

Main Methods:

  • Review of policy documents and firsthand accounts from QIS development and training leaders.
  • Analysis of publicly available Nursing Home Compare data from 2004 to 2010 to track changes in survey findings.
  • Examination of QIS implementation across 19 states between 2007 and 2010.

Main Results:

  • By 2010, nearly 20% of U.S. nursing homes were surveyed using QIS.
  • QIS surveys initially identified more deficiencies on average compared to traditional methods.
  • QIS implementation led to greater uniformity in deficiency rates across states, with areas previously below average seeing increases and vice versa.
  • Specific QIS questioning correlated with increased deficiencies in resident choice, dignity, dental care, and nurse staffing.

Conclusions:

  • CMS's QIS implementation is a pivotal advancement towards more resident-centered, comprehensive, and consistent nursing home oversight.
  • The QIS necessitates significant adaptation from both regulatory bodies and nursing home providers.
  • Adoption of new quality assessment and assurance norms is crucial for fostering a culture of change within U.S. nursing homes.