This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies.
The National Roundtable on Health Care Quality was established in 1995 by the Institute of Medicine. The Roundtable consists of experts formally appointed through procedures of the National Research Council (NRC) who represent both public and private-sector perspectives and appropriate areas of substantive expertise (not organizations). From the public sector, heads of appropriate Federal agencies serve. It offers a unique, nonadversarial environment to explore ongoing rapid changes in the medical marketplace and the implications of these changes for the quality of health and health care in this nation. The Roundtable has a liaison panel focused on quality of care in managed care organizations. The Roundtable convenes nationally prominent representatives of the private and public sector (regional, state and federal), academia, patients, and the health media to analyze unfolding issues concerning quality, to hold workshops and commission papers on significant topics, and when appropriate, to produce periodic statements for the nation on quality of care matters. By providing a structured opportunity for regular communication and interaction, the Roundtable fosters candid discussion among individuals who represent various sides of a given issue.
While the healthcare system continues to shift towards more emphasis on quality metrics, there remains a substantial gap between the expectations of healthcare policies and standards of hospital administrations vs. the realistic care provided by the average healthcare provider. This book offers the perspective of the healthcare provider and aims to fulfill the unmet need to educate other healthcare providers on recognizing quality measures and understanding how to achieve them to meet standards of quality care. This book covers the historical perspective of quality measures, the context of their existence, their utility, and the contemporary issues related to their use. Simultaneously, it critically addresses the quality of these quality metrics and presents the evidence available to date on the efficacy and the limitations of these quality measures. This text is all-inclusive and is organized into chapters that include the evolution of quality metrics in healthcare, the practical role of hospitals, as well as the practical role of individual healthcare providers in addressing quality metrics. The chapters also include assessment of quality metrics that uniquely pertain to medical and surgical practices, as well as non-clinical quality metrics that specifically target undergraduate and graduate medical training. Finally, the book reflects on the use of contemporary quality metrics and their impact on outcomes, patient care, and public health and policy making. In these chapters, tables and illustrations, including algorithms, will be used to provide systematic approaches to common issues related to quality metrics. In addition, historical anecdotes and case presentations will be used to address pearls in contemporary practice of quality metrics. Quality Measures is the definitive reference on quality metrics in healthcare and is a valuable resource for healthcare providers, trainees, administrators and public health agencies.
Patient-reported outcomes (PROs) are measures of how patients feel or what they are able to do in the context of their health status; PROs are reports, usually on questionnaires, about a patient's health conditions, health behaviors, or experiences with health care that individuals report directly, without modification of responses by clinicians or others; thus, they directly reflect the voice of the patient. PROs cover domains such as physical health, mental and emotional health, functioning, symptoms and symptom burden, and health behaviors. They are relevant for many activities: helping patients and their clinicians make informed decisions about health care, monitoring the progress of care, setting policies for coverage and reimbursement of health services, improving the quality of health care services, and tracking or reporting on the performance of health care delivery organizations. We address the major methodological issues related to choosing, administering, and using PROs for these purposes, particularly in clinical practice settings. We include a framework for best practices in selecting PROs, focusing on choosing appropriate methods and modes for administering PRO measures to accommodate patients with diverse linguistic, cultural, educational, and functional skills, understanding measures developed through both classic and modern test theory, and addressing complex issues relating to scoring and analyzing PRO data.
"Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043)." - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation
Millions of Americans of all ages face the challenge of living with serious illnesses such as advanced cancer, heart, or lung disease. Many people with serious illness are increasingly cared for in community settings. While the number of community-based programs to provide care for those with serious illness has grown significantly, the quality of care provided is not consistent across geographic locations or care settings. Care for the serious illness population often features gaps in coordination across sites of care and poor patient and family perceptions as to the quality of care provided. In an effort to better understand and facilitate discussions about the challenges and opportunities related to identifying and implementing quality measures for accountability purposes in community-based serious illness care, the National Academies of Sciences, Engineering, and Medicine held a public workshop on April 17, 2018, in Washington, DC. Workshop participants explored the current state of quality measurement for people with serious illness, their families, and caregivers, with the aim of identifying next steps toward effectively implementing measures to drive improvement in the quality of community-based care for those facing serious illness. This publication summarizes the presentations and discussions from the workshop.
The Institute of Medicine (IOM) Committee on Quality Measures for the Healthy People Leading Health Indicators was charged by the Office of the Assistant Secretary for Health to identify measures of quality for the 12 Leading Health Indicator (LHI) topics and 26 Leading Health Indicators in Healthy People 2020 (HP2020), the current version of the Department of Health and Human Services (HHS) 10-year agenda for improving the nation's health. The scope of work for this project is to use the nine aims for improvement of quality in public health (population-centered, equitable, proactive, health promoting, risk reducing, vigilant, transparent, effective, and efficient) as a framework to identify quality measures for the Healthy People Leading Health Indicators (LHIs). The committee reviewed existing literature on the 12 LHI topics and the 26 Leading Health Indicators. Quality measures for the LHIs that are aligned with the nine aims for improvement of quality in public health will be identified. When appropriate, alignments with the six Priority Areas for Improvement of Quality in Public Health will be noted in the Committee's report. Toward Quality Measures for Population Health and the Leading Health Indicators also address data reporting and analytical capacities that must be available to capture the measures and for demonstrating the value of the measures to improving population health. Toward Quality Measures for Population Health and the Leading Health Indicators provides recommendations for how the measures can be used across sectors of the public health and health care systems. The six priority areas (also known as drivers) are population health metrics and information technology; evidence-based practices, research, and evaluation; systems thinking; sustainability and stewardship; policy; and workforce and education.
Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change.
