Metrics focus attention on what is important. Balanced metrics of primary health care inform purpose and aspiration as well as performance. Purpose in primary health care is about improving the health of people and populations in their community contexts. It is informed by metrics that include long-term, meaning- and relationship-focused perspectives. Aspirational uses of metrics inspire evolving insights and iterative improvement, using a collaborative, developmental perspective. Performance metrics assess the complex interactions among primary care tenets of accessibility, a whole-person focus, integration and coordination of care, and ongoing relationships with individuals, families, and communities; primary health care principles of inclusion and equity, a focus on people's needs, multilevel integration of health, collaborative policy dialogue, and stakeholder participation; basic and goal-directed health care, prioritization, development, and multilevel health outcomes. Environments that support reflection, development, and collaborative action are necessary for metrics to advance health and minimize unintended consequences.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360939PMC
http://dx.doi.org/10.1146/annurev-publhealth-032013-182438DOI Listing

Publication Analysis

Top Keywords

health care
20
primary health
16
health
9
metrics
7
care
7
primary
5
metrics assessing
4
assessing improvements
4
improvements primary
4
care metrics
4

Similar Publications

RetinaRegNet: A zero-shot approach for retinal image registration.

Comput Biol Med

January 2025

Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32610, United States; Department of Medicine, University of Florida, Gainesville, FL, 32610, United States; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, 32610, United States; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, 32610, United States. Electronic address:

Retinal image registration is essential for monitoring eye diseases and planning treatments, yet it remains challenging due to large deformations, minimal overlap, and varying image quality. To address these challenges, we propose RetinaRegNet, a multi-stage image registration model with zero-shot generalizability across multiple retinal imaging modalities. RetinaRegNet begins by extracting image features using a pretrained latent diffusion model.

View Article and Find Full Text PDF

Background: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted.

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: Health care systems and the nursing profession worldwide are being transformed by technology and digitalization. Nurses acquire digital competence through their own experience in daily practice, but also from education and training; nursing education providers thus play an important role. While nursing education providers have some level of digital competence, there is a need for ongoing training and support for them to develop more advanced skills and effectively integrate technology into their teaching.

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

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!