{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T11:51:44Z","timestamp":1770724304490,"version":"3.49.0"},"reference-count":58,"publisher":"BMJ","issue":"8","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2017,1,17]]},"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify the medical causes of death and contribution of non-biological factors towards infant mortality by a retrospective analysis of routinely collected data using verbal and social autopsy tools.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>The study site was Health and Demographic Surveillance System (HDSS), Ballabgarh, North India<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>All infant deaths during the years 2008\u20132012 were included for verbal autopsy and infant deaths from July 2012 to December 2012 were included for social autopsy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Outcome measures<\/jats:title>\n                    <jats:p>Cause of death ascertained by a validated verbal autopsy tool and level of delay based on a three-delay model using the INDEPTH social autopsy tool were the main outcome measures. The level of delay was defined as follows: level 1, delay in identification of danger signs and decision making to seek care; level 2, delay in reaching a health facility from home; level 3, delay in getting healthcare at the health facility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The infant mortality rate during the study period was 46.5\/1000 live births. Neonatal deaths contributed to 54.3% of infant deaths and 39% occurred on the first day of life. Birth asphyxia (31.5%) followed by low birth weight (LBW)\/prematurity (26.5%) were the most common causes of neonatal death, while infection (57.8%) was the most common cause of post-neonatal death. Care-seeking was delayed among 50% of neonatal deaths and 41.2% of post-neonatal deaths. Delay at level 1 was most common and occurred in 32.4% of neonatal deaths and 29.4% of post-neonatal deaths. Deaths due to LBW\/prematurity were mostly followed by delay at level 1.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>A high proportion of preventable infant mortality still exists in an area which is under continuous health and demographic surveillance. There is a need to enhance home-based preventive care to enable the mother to identify and respond to danger signs. Verbal autopsy and social autopsy could be routinely done to guide policy interventions aimed at reduction of infant mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2016-012856","type":"journal-article","created":{"date-parts":[[2017,8,11]],"date-time":"2017-08-11T20:25:24Z","timestamp":1502483124000},"page":"e012856","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":32,"title":["Causes of and contributors to infant mortality in a rural community of North India: evidence from verbal and social autopsy"],"prefix":"10.1136","volume":"7","author":[{"given":"Sanjay Kumar","family":"Rai","sequence":"first","affiliation":[{"name":"Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India"},{"name":"INDEPTH Network, Accra, Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shashi","family":"Kant","sequence":"additional","affiliation":[{"name":"Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India"},{"name":"INDEPTH Network, Accra, Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahul","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Independent researcher, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priti","family":"Gupta","sequence":"additional","affiliation":[{"name":"Centre for Chronic Disease Control, Gurgaon, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Puneet","family":"Misra","sequence":"additional","affiliation":[{"name":"Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India"},{"name":"INDEPTH Network, Accra, Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chandrakant Sambhaji","family":"Pandav","sequence":"additional","affiliation":[{"name":"Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arvind Kumar","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Community and Family Medicine, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2017,8,11]]},"reference":[{"key":"2025121407254219000_7.8.e012856.1","first-page":"00120","article-title":"Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency group for Child Mortality estimation","volume":"S01406736","author":"You","year":"2015","journal-title":"Lancet"},{"key":"2025121407254219000_7.8.e012856.2","unstructured":"World Health Organization. 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