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Following years of advancement in the healthcare domain, there is a pressing need to improve data\u2010based policymaking by addressing both the social context and emotional dimensions. This holds true for any healthcare condition including stillbirth, which demands the attention of healthcare managers, researchers and policymakers. Conditions such as stillbirth signify more than a birth devoid of vital signs. A mother endures months of discomfort and excruciating labour\u00a0pain and faces the devastating reality that her baby is no longer alive. The absence of her child's initial cry disrupts her life, causing her to struggle with confusion and sadness on the factors that may have led to this catastrophe. In spite of this significant loss, we typically perceive it as merely one death, often neglecting to acknowledge it adequately. Significant advancements in averting stillbirths can be achieved by viewing it as a loss of life, rather than only perceiving it as the birth of a lifeless infant. Examining stillbirth data and comprehending its causes can aid in formulating strategies to avert future incidents. This publication seeks to compile information on the principal issues associated with the reporting and recording of stillbirths in low\u2010 and middle\u2010income countries (LMICs) from the perspective of data quality aspects. Furthermore, it also proposes strategies to enhance each aspect of data quality like harmonising stillbirth definitions, linking routine data systems with surveys, facility audits for better data capture, and increasing funding for stillbirth\u2010related research etc.<\/jats:p>","DOI":"10.1002\/hpm.70012","type":"journal-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T06:30:12Z","timestamp":1753684212000},"page":"1348-1355","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["\u2018Silent Losses\u2013Silent Data\u2019: Reviewing Stillbirth Data Quality in Low\u2010 and Middle\u2010Income Countries Using Data Quality Dimensions"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3525-4823","authenticated-orcid":false,"given":"Anuj Kumar","family":"Pandey","sequence":"first","affiliation":[{"name":"Department of Health Systems and Implementation Research International Institute of Health Management Research\u2010 New Delhi  Delhi India"},{"name":"Institute for Population and Social Research Mahidol University  Nakhonpathom Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2173-966X","authenticated-orcid":false,"given":"Sutapa Bandyopadhyay","family":"Neogi","sequence":"additional","affiliation":[{"name":"Department of Health Systems and Implementation Research International Institute of Health Management Research\u2010 New Delhi  Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diksha","family":"Gautam","sequence":"additional","affiliation":[{"name":"Department of Health Systems and Implementation Research International Institute of Health Management Research\u2010 New Delhi  Delhi India"},{"name":"School of Public Health SRM Institute of Science and Technology  Chennai India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2199-1400","authenticated-orcid":false,"given":"Benson","family":"Thomas M","sequence":"additional","affiliation":[{"name":"School of Public Health SRM Institute of Science and Technology  Chennai India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jayati","family":"Basu","sequence":"additional","affiliation":[{"name":"Deparment of Obstetrics and Gynecology University of Witwatersrand  Johannesburg South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debashis","family":"Basu","sequence":"additional","affiliation":[{"name":"Steve Biko Academic Hospital and University of Pretoria  Hatfield South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dyah Anantalia","family":"Widyastari","sequence":"additional","affiliation":[{"name":"Institute for Population and Social Research Mahidol University  Nakhonpathom Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,7,27]]},"reference":[{"key":"e_1_2_13_2_1","unstructured":"AroraA.\u201cStanding up for Stillbirth: Current Estimates and Key Interventions \u201d [Internet]. 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