ABSTRACT
Background: Hypertension affects 28.5% of Indians aged 18-69. Real-time registration and follow-up of persons with hypertension are possible with point-of-care digital information systems. We intend to describe herein the experiences of discovering, developing, and deploying a point-of-care digital information system for public health facilities under the India Hypertension Control Initiative. Methods: We have adopted an agile and user-centered approach in each phase in selected states of India since 2017. A multidisciplinary team adopted a hybrid approach with quantitative and qualitative methods, such as contextual inquiries, usability testing, and semi-structured interviews with healthcare workers, to document and monitor utility and usability. Results: During the discovery phase, we adopted a storyboard technique to understand the requirement of a digital information system. The participatory approach in discovery phase co-designed the information system with the nurses and doctors at Punjab state of India. Simple, which is the developed information system, has a front-end Android mobile application for healthcare workers and a backend dashboard for program managers. As of October 2022, over 24,31,962 patients of hypertension and 8,99,829 diabetes were registered in the information system of 10,017 health facilities. The median duration of registering a new patient was 50â seconds, and for recording a follow-up visit was 14â seconds in the app. High satisfaction was reported in 100 app users' quarterly interviews. Conclusion: Simple was implemented by administering a user-centered approach and agile techniques. It demonstrated high utility and usability among users, highlighting the benefits of a user-centered approach for effective digital health solutions.
ABSTRACT
: Background: Numerous epidemiological studies indicated high levels of particulate matter less than2.5 µm diameter (PM2.5) as a major cardiovascular risk factor. Most of the studies have been conducted in high-income countries (HICs), where average levels of PM2.5 are far less compared to low- and middle- income countries (LMICs), and their socio-economic profile, disease burden, and PM speciation/composition are very different. We systematically reviewed the association of long-term exposure to PM2.5 and cardio-metabolic diseases (CMDs) in LMICs. METHODS: Multiple databases were searched for English articles with date limits until March 2018. We included studies investigating the association of long-term exposure to PM2.5 (defined as an annual average/average measure for 3 more days of PM2.5 exposure) and CMDs, such as hospital admissions, prevalence, and deaths due to CMDs, conducted in LMICs as defined by World Bank. We excluded studies which employed exposure proxy measures, studies among specific occupational groups, and specific episodes of air pollution. RESULTS: A total of 5567 unique articles were identified, of which only 17 articles were included for final review, and these studies were from Brazil, Bulgaria, China, India, and Mexico. Outcome assessed were hypertension, type 2 diabetes mellitus and insulin resistance, and cardiovascular disease (CVD)-related emergency room visits/admissions, death, and mortality. Largely a positive association between exposure to PM2.5 and CMDs was found, and CVD mortality with effect estimates ranging from 0.24% to 6.11% increased per 10 µg/m3 in PM2.5. CVD-related hospitalizations and emergency room visits increased by 0.3% to 19.6%. Risk factors like hypertension had an odds ratio of 1.14, and type 2 diabetes mellitus had an odds ratio ranging from 1.14-1.32. Diversity of exposure assessment and health outcomes limited the ability to perform a meta-analysis. CONCLUSION: Limited evidence on the association of long-term exposure to PM2.5 and CMDs in the LMICs context warrants cohort studies to establish the association.
