scholarly journals 4115 Fostering a learning environment to train and support versatile scientists who integrate science into real world operations of complex, dynamic health and public health systems

2020 ◽  
Vol 4 (s1) ◽  
pp. 132-132
Author(s):  
Tony Kuo ◽  
Moira Inkelas ◽  
Onyebuchi A. Arah ◽  
Vladimir G. Manuel
Keyword(s):  
Public Health ◽  
Population Health ◽  
Health Systems ◽  
Real World ◽  
Health Agency ◽  
Health Science ◽  
Learning System ◽  
Systems Science ◽  
Full Time ◽  
Public Health Systems

OBJECTIVES/GOALS: The UCLA Clinical and Translational Science Institute’s Population Health Program is creating versatile scientists who can solve population health problems. This means building learning capability in health care and public health agencies, and fostering a cross-sector, outcomes-based, regional ecosystem for implementation and improvement. METHODS/STUDY POPULATION: A synthesis of achievements and lessons learned reveals the Program’s trajectory. It maps progress in science leading to sustainable interventions for target populations. PHP goals are predicated on networked team science, rather than disorganized assortment of individual studies and interventions, and emphasize design, modeling and iteration. Evolving metrics include network analysis to document collaborative impact; extent of integrating real-world application into systems science and learning system curriculum; legislative and institutional policies developed and adopted; evidence of system orientation, cross-sector focus, and implementation research in scientists’ portfolios; and demonstration of population health impact. Barriers offer the opportunity for iteration and improvement. RESULTS/ANTICIPATED RESULTS: The PHP has progressed in its envisioned shared university-public health stewardship of translation and transformation. Milestones included galvanizing activities such as annual regional dissemination, implementation, and improvement (DII) symposia and Public Health Science Summits; pre- and post-doctoral experiential learning of system science and learning system methods based in Los Angeles County Health Agency initiatives; development of a regional CTSA network for implementation science training; strengthened public health policy practice (e.g., establishing a new Office of Youth Diversion and Development); learning healthcare system capability; and prototypes of population learning systems focused on hypertension, food insecurity, tobacco/vaping, and complex care management. DISCUSSION/SIGNIFICANCE OF IMPACT: PHP is committed to advancing science for population health. Prototypes were an essential initial phase. New areas include use of methodological advances (e.g., artificial intelligence, rapid assessments) in health and public health systems; an academic home for full-time, population-focused clinicians; and social policy innovations.

Roles of Academic and Public Health Systems in Advancing Population Health—Reply

JAMA ◽  
2016 ◽  
Vol 315 (23) ◽  
pp. 2623
Author(s):  
L. Ebony Boulware ◽  
Molly J. Coye ◽  
A. Eugene Washington
Keyword(s):  
Public Health ◽  
Population Health ◽  
Health Systems ◽  
Public Health Systems

scholarly journals 3342 Developing a population health learning system

2019 ◽  
Vol 3 (s1) ◽  
pp. 142-143
Author(s):  
Tony Kuo ◽  
Moira Inkelas
Keyword(s):  
Public Health ◽  
Population Health ◽  
Health Systems ◽  
Real World ◽  
Health Problems ◽  
Science Methods ◽  
System Science ◽  
New Curriculum ◽  
Education Psychology ◽  
The University

OBJECTIVES/SPECIFIC AIMS: Population health research seeks to identify and address variation in needs, care experiences, and outcomes for a defined geography or subgroup. Solutions often require collective actions of complex interdependent health and social service systems in communities. System sciences focused on implementation and dissemination are vital for developing interventions that work at the intended scale in these “real world” environments; yet these approaches are often underutilized. METHODS/STUDY POPULATION: The UCLA Clinical Translational Science Institute (CTSI) co-developed a Population Health Program with the local health department to advance the practice and use of these system science methods. The vision is integrated training, methodological innovation, and real-world application in the region. One specific aim of the program is preparing investigators to apply suitable translational methods to solve population health problems in both health systems and in public health. Investigators from different parts of the university partnered with health services and public health leadership to develop and team-teach new curriculum in system sciences that integrates their disciplines (epidemiology, education, psychology, health policy and management). RESULTS/ANTICIPATED RESULTS: New curriculum in population and implementation/improvement sciences offers junior investigators effective modules and training opportunities that can support their career awards. The program is also increasing the receptivity and readiness of population health delivery systems to apply system science methods to pressing problems. Program metrics include total participants, research yielded by the collaboration, and skills and system science mindset acquisition among trainees, investigators, and health personnel. DISCUSSION/SIGNIFICANCE OF IMPACT: CTSAs can partner with health and public health agencies to develop shared infrastructure, developing capacity in the university and in the partnered local agencies so that investigators and the agencies that are responsible for population health can work together to apply suitable translational methods to solve population health problems in both health systems and in public health.

Roles of Academic and Public Health Systems in Advancing Population Health

JAMA ◽  
2016 ◽  
Vol 315 (23) ◽  
pp. 2623
Author(s):  
Andrew Goodman ◽  
Adam Karpati
Keyword(s):  
Public Health ◽  
Population Health ◽  
Health Systems ◽  
Public Health Systems

scholarly journals Artificial intelligence for good health: a scoping review of the ethics literature

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Kathleen Murphy ◽  
Erica Di Ruggiero ◽  
Ross Upshur ◽  
Donald J. Willison ◽  
Neha Malhotra ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Global Health ◽  
Population Health ◽  
Health Systems ◽  
Scoping Review ◽  
Industrial Revolution ◽  
Ethical Issues ◽  
Grey Literature ◽  
Ethical Implications

Abstract Background Artificial intelligence (AI) has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective? Methods Eight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed. Results Upon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability and responsibility, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries (LMICs). Conclusions The ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere.

Maternal health services in China’s western rural areas: uptake and correlates

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Chengfang Liu ◽  
Linxiu Zhang ◽  
Yaojiang Shi ◽  
Huan ZHOU ◽  
Alexis Medina ◽  
...  
Keyword(s):  
Public Health ◽  
Maternal Health ◽  
Health Services ◽  
Health Systems ◽  
Uptake Rate ◽  
Rural Areas ◽  
Design Methodology ◽  
Maternal Health Services ◽  
Western China ◽  
Public Health Systems

Purpose Many public health systems have struggled with the dual questions of (1) why the uptake rate of maternal health services is low among some subpopulations; and (2) how to raise it. The objective of this study is to assess the uptake rate of a new set of maternal health services in poor rural areas of China. Design/methodology/approach The analysis is based on the survey responses of women’s representatives and village cadres from almost 1000 villages in June 2012 as part of a wide-scale public health survey in Sichuan, Gansu and Yunnan provinces in the western part of China. Findings We find that the uptake rate of maternal health services (including in-hospital delivery, antenatal care visits and post-partum care visits) in poor rural areas of western China are far below average in China, and that the rates vary across provinces and ethnic groups. Our analyses demonstrate that distance, income, ethnicity and availability appear to be systematically correlated with low uptake rates of all maternal health services. Demand-side factors seem to be by far the most important sources of the differences between subpopulations. We also find that there is potential for creating a Conditional Cash Transfer program to improve the usage of maternal health services. Originality/value We believe that our results will contribute positively to the exploration of answers to the dual questions that many public health systems have struggled with (1) why the uptake rate of maternal health services is low among some subpopulations; and (2) how to raise it.

scholarly journals Integrating oral health with public health systems under the framework of the Global Charter for the Public's Health

2018 ◽  
Vol 69 (3) ◽  
pp. 167-170
Author(s):  
Aimee Lee ◽  
Marta Lomazzi ◽  
Hyewon Lee ◽  
Raman Bedi
Keyword(s):  
Public Health ◽  
Oral Health ◽  
Health Systems ◽  
Public Health Systems
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