Healthcare Policies to Eliminate Neglected Tropical Diseases (NTDs) in India: A Roadmap.

The need for systemic healthcare policies to systematically eliminate NTDs globally and in India has been stressed for more than two decades. Yet, the present policies and the research on them do not meet the need. We present an ontological framework, a research roadmap, and a policy brief to address the gap. The ontology clearly, concisely, and comprehensively represents the combinations of diseases, the objectives regarding the diseases, the entities to address them, the outcomes sought, and the potential policy instruments to invoke. The paper explicates the state of the-policies and state of the research on policies to eliminate NTDs in India. It highlights the significant gaps in the diseases covered, balance in the objectives, comprehensiveness of policies, portfolio of outcomes, and involvement of entities. Last, it presents a set of systemic policies congruent with the ontology to systematically address the gaps. The recommendations are aligned with the present research, policies, practices, and recommendations in India and of the WHO, UN agencies, and other similar bodies. The approach can be generalized to provide roadmaps for other countries facing a similar challenge and for other diseases of similar complexity. The roadmaps, with continuous feedback and learning, can help navigate the challenge efficiently and effectively.

Access to Geriatric Disability Care in India: A Roadmap for Research.

This paper presents an ontological review of the global research on access to geriatric disability care and a roadmap for future research to address the problem in India. First, the dominant research focus is on resources (human, financial, and spatial) that affect access to disability care; there is little focus on informational and technological resources. Second, functional disabilities are the dominant focus of the research, followed by cognitive, mental, and locomotor disabilities; there is little focus on speech, hearing, and visual disabilities. Third, barriers, inhibitors, and catalysts of physical access are the dominant focus, with relatively less focus on virtual access; there is very little emphasis on the drivers to access. Fourth, the primary, although not dominant, focus is on access for urban and rural populations; there is very little focus on access for underserved and indigenous populations. Future research must address these gaps systematically to improve access. This paper adds: (a) a systemic framework for the study of an important, complex, emerging problem; (b) a systematic review of the global research on the problem; and (c) a research roadmap to address the emerging problem in India.

Ontological Analysis of COVID-19 Vaccine Roll out Strategies: A Comparison of India and the United States of America.

The unprecedented outbreak of the COVID-19 pandemic has forced governments to devise national strategies to curtail its spread. The present study analyzes the national strategies of India and the United States for the COVID-19 vaccine roll out. The paper presents an ontology of COVID-19 vaccine roll out, maps the national strategies, identifies, analyzes the emphases and gaps in them, and proposes corrections to the same. The analysis shows that the national strategies are selective in their focus and siloed in their approach. They must be systematized to address the emerging challenges effectively. Thus, there is need for a systemic understanding and analysis to reinforce the effective pathways to manage vaccine roll out, reposition the ineffective ones, and engineer new ones through feedback and learning.

Access to Healthcare during COVID-19.

Ensuring access to healthcare is critical to prevent illnesses and deaths from COVID-19 and non-COVID-19 cases in health systems that have deteriorated during the pandemic. This study aims to map the existing literature on healthcare access after the appearance of COVID-19 using an ontological framework. This will help us to formalize, standardize, visualize and assess the barriers to and drivers of access to healthcare, and how to continue working towards a more accessible health system. A total of 131 articles are included and considered for mapping in the framework. The results were also compared to the World Health Organization guidelines on maintaining essential health services to determine the overlapping and nonoverlapping areas. We showed the benefits of using ontology to promote a systematic approach to address healthcare problems of access during COVID-19 or other pandemics and set public policies. This systematic approach will provide feedback to study the existing guidelines to make them more effective, learn about the existing gaps in research, and the relationship between the two of them. These results set the foundation for the discussion of future public health policies and research in relevant areas where we might pay attention.

Envisioning a learning surveillance system for tuberculosis.

Surveillance is critical for interrupting transmission of global epidemics. Research has highlighted gaps in the surveillance for tuberculosis that range from failure to collect real-time data to lack of standardization of data for informed decision-making at different levels of the health system. Our research aims to advance conceptual and methodological foundations for the development of a learning surveillance system for Tuberculosis, that involves systematic collection, analysis, interpretation, and feedback of outcome-specific data. It would concurrently involve the health care delivery system, public health laboratory, and epidemiologists. For our study, we systemically framed the cyber environment of TB surveillance as an ontology of the learning surveillance system. We validated the ontology by binary coding of dimensions and elements of the ontology with the metadata from an existing surveillance platform-GPMS TB Transportal. Results show GPMS TB Transportal collects a critical range of data for active case investigation and presumptive case screening for identifying and detecting confirmed TB cases. It is therefore targeted at assisting the Active Case Finding program. Building on the results, we demonstrate enhanced surveillance strategies for GPMS that are enumerated as pathways in the ontology. Our analysis reveals the scope for embedding learning surveillance pathways for digital applications in Direct Benefit Transfer, and Drug Resistance Treatment in National TB Elimination Programme in India. We discuss the possibilities of developing the transportal into a multi-level computer-aided decision support system for TB, using the innumerable pathways encapsulated in the ontology.