Background: This is the second in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. Rising healthcare costs, continuing advances in health technologies and recognition of ineffective practices and systematic waste are driving disinvestment of health technologies and clinical practices that offer little or no benefit in order to maximise outcomes from existing resources. However there is little information to guide regional health services or individual facilities in how they might approach disinvestment locally. This paper outlines the investigation of potential settings and methods for decision-making about disinvestment in the context of an Australian health service.
Methods: Methods include a literature review on the concepts and terminology relating to disinvestment, a survey of national and international researchers, and interviews and workshops with local informants. A conceptual framework was drafted and refined with stakeholder feedback.
Results: There is a lack of common terminology regarding definitions and concepts related to disinvestment and no guidance for an organisation-wide systematic approach to disinvestment in a local healthcare service. A summary of issues from the literature and respondents highlight the lack of theoretical knowledge and practical experience and provide a guide to the information required to develop future models or methods for disinvestment in the local context. A conceptual framework was developed. Three mechanisms that provide opportunities to introduce disinvestment decisions into health service systems and processes were identified. Presented in order of complexity, time to achieve outcomes and resources required they include 1) Explicit consideration of potential disinvestment in routine decision-making, 2) Proactive decision-making about disinvestment driven by available evidence from published research and local data, and 3) Specific exercises in priority setting and system redesign.
Conclusion: This framework identifies potential opportunities to initiate disinvestment activities in a systematic integrated approach that can be applied across a whole organisation using transparent, evidence-based methods. Incorporating considerations for disinvestment into existing decision-making systems and processes might be achieved quickly with minimal cost; however establishment of new systems requires research into appropriate methods and provision of appropriate skills and resources to deliver them.
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http://dx.doi.org/10.1186/s12913-017-2211-6 | DOI Listing |
GMS Health Innov Technol
November 2024
Malaysian Health Technology Assessment Section (MaHTAS), Medical Development Division, Ministry of Health, Putrajaya, Malaysia.
Disinvestment in healthcare allows for strategic reallocation of resources from low-value care to higher-value areas, particularly in promoting clinical effectiveness, improving patient outcomes, and long-term cost savings. The Malaysian Health Technology Assessment Section (MaHTAS) is investigating the incorporation of a disinvestment framework into the health technology life cycle, in accordance with the Ministry of Health Malaysia's recent healthcare transformation strategy. Several health technology assessment (HTA) reports by MaHTAS have integrated concepts of health technology reassessment, with an emphasis on effectiveness and adverse effects.
View Article and Find Full Text PDFEpidemiol Serv Saude
December 2024
Universidade Federal do Rio Grande do Sul, Departamento de Produção e Controle de Medicamentos, Rio Grande do Sul, RS, Brazil.
Objective: To analyze the recommendations for exclusion of health technologies in the Brazilian National Health System (SUS), made by the National Commission for the Incorporation of Technologies in the Brazilian National Health System (CONITEC) from 2012 to 2023, and to identify the disinvestment criteria used.
Methods: Documentary, descriptive and retrospective analysis of CONITEC reports that assessed technology exclusion requests.
Results: We identified 24 reports on 74 technologies, whereby the requests predominantly involved medications (95.
Health Res Policy Syst
December 2024
Procome Research Group, Medical Management Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.
Background: The use of low-value care (LVC) is a persistent challenge in health care. Health technology reassessment (HTR) assesses the effects of technologies currently used in the health care system to guide optimal use of these technologies. Consequently, HTR holds promises for identifying and reducing, i.
View Article and Find Full Text PDFJ Urban Health
December 2024
Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Mortgage discrimination alters the distribution of investment, opportunity, and economic advantage-key contributors of health disparities. Leveraging Home Mortgage Disclosure Act data, we assessed mortgage denial risk in 380 U.S.
View Article and Find Full Text PDFHeliyon
November 2024
ADAPT Research Centre, School of Computer Science, University of Galway, Ireland.
Given the intricate nature of stock forecasting as well as the inherent risks and uncertainties, analysis of market trends is necessary to capitalize on optimal investment opportunities for profit maximization and timely disinvestment for loss minimization. In this work, we propose a deep learning model for predicting five distinct stock market trends: upward, downward, double top, rounded bottom, and rounded top. The proposed model surpasses common benchmarks, including support vector machine, random forest, and logistic regression, achieving an average accuracy of 94.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!