BackgroundIdentifying fall-related injuries and costs using healthcare claims data is cost-effective and easier to implement than using medical records or patient self-report to track falls. We developed a comprehensive four-step algorithm for identifying episodes of care for fall-related injuries and associated costs, using fee-for-service Medicare and Medicare Advantage health plan claims data for 2,011 patients from 5 medical groups between 2005 and 2009.MethodsFirst, as a preparatory step, we identified care received in acute inpatient and skilled nursing facility settings, in addition to emergency department visits. Second, based on diagnosis and procedure codes, we identified all fall-related claim records. Third, with these records, we identified six types of encounters for fall-related injuries, with different levels of injury and care. In the final step, we used these encounters to identify episodes of care for fall-related injuries.ResultsTo illustrate the algorithm, we present a representative example of a fall episode and examine descriptive statistics of injuries and costs for such episodes. Altogether, we found that the results support the use of our algorithm for identifying episodes of care for fall-related injuries. When we decomposed an episode, we found that the details present a realistic and coherent story of fall-related injuries and healthcare services. Variation of episode characteristics across medical groups supported the use of a complex algorithm approach, and descriptive statistics on the proportion, duration, and cost of episodes by healthcare services and injuries verified that our results are consistent with other studies.ConclusionsThis algorithm can be used to identify and analyze various types of fall-related outcomes including episodes of care, injuries, and associated costs. Furthermore, the algorithm can be applied and adopted in other fall-related studies with relative ease.Electronic supplementary materialThe online version of this article (doi:10.1186/s40621-015-0066-z) contains supplementary material, which is available to authorized users.
This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest.RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Library of Congress Control Number: 2018947699ISBN: 978-0-8330-9988-4 For more information on this publication, visit www.rand.org/t/RR2267Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2018 RAND CorporationR® is a registered trademark.iii PrefaceThis report documents research and analysis conducted as part of a project entitled "Optimizing Recruits Screening, Qualification Standards, and Preparation for Training," sponsored by the Assistant Secretary of the Army for Manpower and Reserve Affairs, and the Deputy Chief of Staff, G-1, U.S. Army. The purpose of the project was to provide the Army with a means of identifying the prospective effects of combinations of new recruits' cognitive, noncognitive, physical, demographic, and behavioral attributes on serving successfully and completing their first term, and on related costs, thus enabling the Army to identify potential changes to selection of youth based on these attributes in order to expand supply smartly or to decrease the rates of targeted adverse outcomes.The Project Unique Identification Code (PUIC) for the project that produced this document is RAN167280.This research was conducted within RAND Arroyo Center's Personnel, Training, and Health Program. RAND Arroyo Center, part of the RAND Corporation, is a federally funded research and development center (FFRDC) sponsored by the United States Army.RAND operates under a "Federal-Wide Assurance" (FWA00003425) and complies with the Code of Federal Regulations for the Protection of Human Subjects Under United States Law (45 CFR 46), also known as "the Common Rule," as well as with the implementation guidance set forth in Department of Defense Instruction 3216.02. As applicable, this compliance includes reviews and approvals by RAND's Institutional Review Board (the Human Subjects Protection Committee) and by the U.S. Army. The views of sources utilized in this report SummarySuccessful completion of the first term of enlistment (or the contract term for recruits with prior service) i...
Background/Objectives Fall prevention programs implemented in primary care have had variable success in preventing falls and fall-related injuries. We investigated whether a program that improved the quality of care for falls also reduced the number of episodes of care for serious fall-related injuries. Design Non-randomized controlled trial. Setting Four community-based primary care practices. Participants Patients ≥ 75 years who screened positive for fall risk. Intervention A multi component quality improvement program (ACOVE prime) involving face-to-face clinician education about falls and decision support to prompt primary care providers to implement appropriate care, including referral to appropriate community resources, in response to patients screening positive for fall risk. Measurements Episodes of care for selected fall-related injuries, based on health care claims. Results Of the 1791 patients with data available for analysis, 1187 were in the intervention group and 604 patients were in the control group. Mean age was 83, and over two-thirds of the sample were women. After adjusting for potential confounders there were no statistically significant differences between intervention and control groups in episodes of care for fall-related injuries during the 12 month (incidence rate ratio, 1.27; 95% CI 0.93–1.73) or 24 month (incidence rate ratio, 1.18; 95% CI 0.93–1.49) period subsequent to initiation of the intervention. Conclusion Despite improving the care of falls, this quality improvement initiative did not result in a change in the number of episodes of care for serious fall-related injuries. Future work in community-based settings should test higher-intensity interventions to reduce fall-related injuries.
Technological advancement and globalization have led modern economic growth and social development in many parts of the world. Governments are also increasingly adopting new technology to uphold public safety and to protect its citizens. In particular, customs administrations have been adopting digital customs and risk management frameworks to promote free trade and traveling while preventing cross-border transport of dangerous goods and individuals. This study proposes an up-to-date dynamic information and communications technology (ICT) implementation stage model that accounts for new modern technology and transformative public organizations. An in-depth case study approach is employed by using the example of the customs services in South Korea. Specifically, this study describes how the Korea Customs Service developed its digital customs system in tandem with risk management guidelines and practices and presents quantitative data on customs and risk management outcomes.
The first enactment of a single national e-government act took place in Korea in 2001. Subsequently, the United States enacted its electronic government act in November 2002. Unified e-government acts in Korea and the United States have since been established and enforced for nearly two decades, and provide interesting case studies for examining the long-term influences of the e-government act on national e-government and digital government policies. The e-government act of the United States is much more comprehensive than the e-government act of Korea. The US e-government act focuses on strengthening the federal government’s ability to regulate the Office of Management and Budget (OMB)’s role in e-government implementation. The OMB has overall jurisdiction over the e-government promotion process and will continue to consult with ministries on appropriate budget support for each project. In contrast, the e-government law in Korea is based on electronic document processing as the basic viewpoint and has been downgraded to a level that supports document reduction and electronic processing of documents, rather than a comprehensive law that can support e-government projects. The comparative case study of e-government acts in Korea and the United States revealed that, from the standpoint of digital government transformation using information technology, it is most important to promote digital government policy directly from the ministry that manages the budget, or to establish a dedicated organization under the ministry to secure strong coordination while linking it with the budget.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.