Detección de Nuevas Tecnologías Sanitarias Para Mejorar el Control Metabólico de Pacientes Con Diabetes Tipo 2 Atendidos en el Programa de Salud Cardiovascular de Chile.

Value Health Reg Issues

Escuela de Salud Pública, Universidad de Chile, Santiago, Chile; Centre for Health Economics, University of York, York, England, UK. Electronic address:

Published: September 2022

Objectives: In Chile, > 900,000 people with type 2 diabetes mellitus (DM2) are controlled in the Cardiovascular Health Program (PSCV). Even though the PSCV includes a set of interventions for the control of patients with DM2, the results are still insufficient, generating a high human, economic, and social cost. This study aimed to identify and select new health technologies for the control of patients with DM2 not currently incorporated into the PSCV to be proposed as candidates for an economic evaluation in the Chilean context.

Methods: For the identification of new health technologies, consultations with key informants and an umbrella review of updated scientific evidence were used as sources of information. In a second step, selection among those technologies was conducted based on the effectiveness of the intervention, target population, nature of the intervention, and international evidence of cost-effectiveness antecedents.

Results: Key informants identified 12 candidate health technologies not currently incorporated into the PSCV. From the umbrella review, an additional 9 health technologies were identified that were not identified by the key informants. Of the 21 new health technologies identified, finally 8 health technologies were selected (structured group education, pedometer use, periodontal treatment, cognitive-behavioral therapy, telemonitoring, sitagliptin, canagliflozin, and insulin degludec).

Conclusions: The health technologies detected have a high potential to be studied through economic evaluations that allow guiding decision making around improving the health outcomes of patients with DM2 in Chile.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.vhri.2022.02.005DOI Listing

Publication Analysis

Top Keywords

health technologies
28
patients dm2
12
key informants
12
health
9
control patients
8
technologies
8
currently incorporated
8
incorporated pscv
8
umbrella review
8
technologies identified
8

Similar Publications

Microfluidic and Computational Tools for Neurodegeneration Studies.

Annu Rev Chem Biomol Eng

January 2025

1Department of Chemical & Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA; email:

Understanding the molecular, cellular, and physiological components of neurodegenerative diseases (NDs) is paramount for developing accurate diagnostics and efficacious therapies. However, the complexity of ND pathology and the limitations associated with conventional analytical methods undermine research. Fortunately, microfluidic technology can facilitate discoveries through improved biomarker quantification, brain organoid culture, and small animal model manipulation.

View Article and Find Full Text PDF

To identify potential sources of hookworm infections in a Ghanaian community of endemicity that could be targeted to interrupt transmission, we tracked the movements of infected and noninfected persons to their most frequented locations. Fifty-nine participants (29 hookworm positives and 30 negatives) wore GPS trackers for 10 consecutive days. Their movement data were captured in real time and overlaid on a community grid map.

View Article and Find Full Text PDF

Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.

View Article and Find Full Text PDF

Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.

Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).

View Article and Find Full Text PDF

Background: Heart failure (HF) is one of the most common causes of hospital readmission in the United States. These hospitalizations are often driven by insufficient self-care. Commercial mobile health (mHealth) technologies, such as consumer-grade apps and wearable devices, offer opportunities for improving HF self-care, but their efficacy remains largely underexplored.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!