RESUMO
OBJECTIVES: A three-member central Rapid Response Team (RRT) was deputed to Union Territory of Ladakh on 26th March 2020, to assess the situation and support the preparedness measures including implementation of cluster containment plan and social distancing measures for coronavirus disease 2019 (COVID-19). METHODS: Central RRT addressed the panchayat sarpanch and religious leaders, sensitized doctors and paramedical staff on COVID-19 situation; conducted situational analysis, review of records and logistics, key informant interviews of senior administrative and healthcare officials, focus group discussions with local community people and field visits to various hospitals, isolation centers, quarantine facilities, and containment zones. RESULTS: A total of 14 COVID-19 cases with no deaths were reported and nine patients had recovered till 4 April 2020. The median (range) age of positive cases was found to be 32.5 (6 months-76 years) years and overall attack rate was 1.65 per 1000 population. Ladakh Government declared Chuchot Gongma, Yokma and Sankoo as the containment zones and deputed surveillance teams. A total of 2397 persons were quarantined and 496 samples were tested from Ladakh. COVID-19 sample testing, Srinagar-Leh highway opening and Iran pilgrimage returnees were the major challenges identified. CONCLUSIONS: The Ladakh government must continue the robust surveillance system and stringent strategies in key areas for management of COVID-19 namely - aggressive screening and testing, isolation, quarantine, hand hygiene, respiratory etiquettes and social distancing.
RESUMO
Despite significant advancements in the scientific evidence base of interventions to improve newborn survival, we have not yet been able to "bend the curve" to markedly accelerate global rates of reduction in newborn mortality. The ever-widening gap between discovery of scientific best practices and their mass adoption by families (the evidence-practice gap) is not just a matter of improving the coverage of health worker-community interactions. The design of the interactions themselves must be guided by sound behavioral science approaches such that they lead to mass adoption and impact at a large scale. The main barrier to the application of scientific approaches to behavior change is our inability to "unbox" the "black box" of family health behaviors in community settings. The authors argue that these are not black boxes, but in fact thoughtfully designed community systems that have been designed and upheld, and have evolved over many years keeping in mind a certain worldview and a common social purpose. An empathetic understanding of these community systems allows us to deconstruct the causal pathways of existing behaviors, and re-engineer them to achieve desired outcomes. One of the key reasons for the failure of interactions to translate into behavior change is our failure to recognize that the content, context, and process of interactions need to be designed keeping in mind an organized community system with a very different worldview and beliefs. In order to improve the adoption of scientific best practices by communities, we need to adapt them to their culture by leveraging existing beliefs, practices, people, context, and skills. The authors present a systems approach for community-centric design of interactions, highlighting key principles for achieving intrinsically motivated, sustained change in social norms and family health behaviors, elucidated with progressive theories from systems thinking, management sciences, cross-cultural psychology, learning and social cognition, and the behavioral sciences. These are illustrated through a case study of designing effective interactions in Shivgarh, India, that led to rapid and substantial changes in newborn health behaviors and reduction in NMR by half over a span of 16 months.