Introduction: According to WHO, "health policy refers to decisions, plans, and actions that are undertaken to achieve specific health care goals within a society". Although policymaking is important to be based on scientific evidence, in many countries, evidence-informed decision-making remains the exception rather than the rule.
Aim: This work presents a cloud-based Decision Support System for public health decision-making.
Methods: In CrowdHEALTH, the concept of a Public Health Policy (PHP) is directly connected with one or more Key Performance Indexes (KPIs). The design and technical details of the system implementations are reported, along with use case scenarios.
Results: The Policy Development Toolkit presents a unique interface and point of reference for policymakers, allowing them to create policy models and obtain analytical results for evidence-based decisions and evaluations.
Conclusions: The hierarchical structure of the Public Health Policy Model offers versatility in the creation and handling of the policies, resulting in Health Analytics Tools Results Objects which offer quantitative policy support and provide the basis for meta-analytic operations.
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http://dx.doi.org/10.5455/medarh.2020.74.47-53 | DOI Listing |
J Health Organ Manag
January 2025
University of Malta, Msida, Malta.
Purpose: This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.
Design/methodology/approach: Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI.
Diabetes Obes Metab
January 2025
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aim: To explore the holistic impact of socioeconomic and mental health inequalities on the global burden of type 2 diabetes.
Materials And Methods: This cross-sectional study used data on the incidence, disability-adjusted life years (DALYs), and mortality of type 2 diabetes as well as DALYs attributable to risk factors during 1990-2021 from the Global Burden of Disease Study 2021. Average annual percent change (AAPC) was applied to assess the temporal trends from 1990 to 2021.
Implement Sci Commun
January 2025
Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Background: Archetypes are representations of a group of people with shared behaviors, attitudes, and characteristics. The design and use of archetypes have potential application to increase partnership and support when embedding and scaling interventions but methodological approaches have not been developed.
Objective: To describe the methodology of designing archetypes for use in a pragmatic trial of advance care planning in the primary care context, SHARING Choices ((NCT04819191).
Diabetes Obes Metab
January 2025
School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Trials
January 2025
Department of Community and Behavioral Health, Colorado School of Public Health, Denver, CO, USA.
Background: Disparities in sexually transmitted infections (STI) including human immunodeficiency virus (HIV) among sexual minority boys and young men are substantial. Effective HIV and STI prevention programs that include access to pre-exposure prophylaxis (PrEP) medication do not consistently include younger sexual minority men. Text-messaging programs for HIV prevention have been associated with increases in HIV testing among sexual minority adolescent boys, but these programs have not incorporated a focus on PrEP or STIs beyond HIV.
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