Background: Economic evaluation has been implemented to inform policy in many areas, including coverage decisions, technology pricing, and the development of clinical practice guidelines. However, there are barriers to evidence-based policy in low- and middle-income countries (LMICs) that include limited stakeholder awareness, resources and data availability, as well as the lack of capacity to conduct country-specific economic evaluations. This study aims to survey health policy experts' opinions on barriers to use of cost-effectiveness data in these settings and to obtain their advice on how to make a new cost-per-DALY database being developed by Tufts Medical Center more relevant to LMICs. It also identifies the factors influencing transferability.
Methods: In-depth interviews were conducted with 32 participants, including policymakers, technical advisors, and researchers in Health Ministries, universities and non-governmental organisations in Bangladesh, India (New Delhi, Tamil Nadu and Karnataka) and Vietnam.
Results: The survey revealed that, in all settings, the use of cost-effectiveness information in policy development is lacking, owing to limited knowledge among policymakers and inadequate human resources with health economics expertise in the government sector. Furthermore, researchers in universities do not have close connections with health authorities. In India and Vietnam, the demand for evidence to inform coverage decisions tends to increase as the countries are moving towards universal health coverage. The informants in all countries argue that cost-effectiveness data are useful for decision-makers; however, most of them do not perform data searches by themselves but rely on the information provided by the technical advisor counterparts. Most interviewees were familiar with using evidence from other countries and were also aware of the influences of contextual elements as a limitation of transferability. Finally, strategies to promote the newly developed database include training on basic economic evaluation for policymakers and researchers, and effective communication programs, with support from reputable global agencies.
Conclusions: Although cost-effectiveness information is recognised as essential in resource allocation, there are several impediments in the generation and use of such evidence to inform priority setting in LMICs. As such, the Cost-per-DALY database should be well-designed and introduced with appropriate promotion strategies so that it will be helpful in real-world policymaking.
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http://dx.doi.org/10.1186/s12961-016-0156-6 | DOI Listing |
Am J Emerg Med
December 2024
Department of Health Policy & Organization, School of Public Health, The University of Alabama at Birmingham, Birmingham, AL, USA; Center for Outcomes and Effectiveness Research and Education, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Background: Leaving before medically advised (BMA) is a significant issue in the US healthcare system, leading to adverse health outcomes and increased costs. Despite previous research, multi-year studies using up-to-date nationwide emergency department (ED) data, are limited. This study examines factors associated with leaving BMA from EDs and trends over time, before and during the COVID-19 pandemic.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
JMIR Perioper Med
January 2025
Societal Participation & Health, Amsterdam Public Health, Amsterdam, The Netherlands.
Background: Day surgery is being increasingly implemented across Europe, driven in part by capacity problems. Patients recovering at home could benefit from tools tailored to their new care setting to effectively manage their convalescence. The mHealth application ikHerstel is one such tool, but although it administers its functions in the home, its implementation hinges on health care professionals within the hospital.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFJ Trauma Nurs
January 2025
Author Affiliations: Penn Medicine, Department of Advanced Practice & Trauma Surgical Critical Care (Dr Saucier), Biostatistics, Hearing, & Speech, Ingram Cancer Center, Vanderbilt University School of Medicine (Dr Dietrich), School of Nursing, Vanderbilt University (Drs Maxwell and Minnick), Nashville, Tennessee; David E. Longnecker Associate Professor of Anesthesiology and Critical Care (Dr Lane-Fall), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and Surgical Service Line (Dr Messing), Inova Health System, Falls Church, Virginia.
Background: Patient transitions in critical care require coordination across provider roles and rely on the quality of providers' actions to ensure safety. Studying the behavior of providers who transition patients in critical care may guide future interventions that ultimately improve patient safety in this setting.
Objective: To establish the feasibility of using the Theory of Planned Behavior in a trauma environment and to describe provider behavior elements during trauma patient transfers (de-escalations) to non-critical care units.
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