{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T17:54:35Z","timestamp":1790790875854,"version":"4.1.0"},"reference-count":32,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,4,20]],"date-time":"2025-04-20T00:00:00Z","timestamp":1745107200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>In many low\u2010 and middle\u2010income countries, perinatal mortality estimates are derived retrospectively from periodically conducted household surveys. Mobile phone surveys offer advantages in terms of cost and ease of implementation. However, their suitability for monitoring perinatal mortality has not been established.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We use data from the Malawi Rapid Mortality Mobile Phone Survey (RaMMPS) to estimate perinatal mortality rates from two versions of the survey instrument: a full pregnancy history and a shorter truncated pregnancy history. Female respondents of reproductive age were randomly allocated to either of these instruments. The sample was generated through random digit dialling with active strata monitoring. Post\u2010stratification weighting was used to correct for sample selection bias, and estimates are reported with bootstrap confidence intervals. We estimated the stillbirth rate as the synthetic cohort probability of a foetal death with 28+ weeks of gestation over all pregnancies reaching the same gestational age. The perinatal and extended perinatal mortality rates were defined as the probabilities of dying between 28\u2009weeks and 7 or 28\u2009days of life, respectively. RaMMPS estimates are compared to the 2015\u20132016 Malawi Demographic and Health Survey and estimates published by the United Nations Inter\u2010agency Group for Child Mortality Estimation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Truncated and full pregnancy histories were administered for 2093 and 2067 women, respectively. Weighted point estimates of the stillbirth (19.81 deaths per 1000 pregnancies, 95%\u2010confidence interval (CI): 14.11\u201325.62), perinatal (42.41, 95%\u2010CI: 33.91\u201350.92), and extended perinatal mortality rates (50.11, 95%\u2010CI: 41.56\u201358.84) from the full pregnancy history instrument are in line with Demographic and Health Survey and United Nations Inter\u2010agency Group for Child Mortality Estimation estimates. In comparison, the mortality estimates from the truncated pregnancy history instrument are higher, but this difference only approaches statistical significance in the case of the stillbirth rate. Post\u2010stratification weighting produces a small upwards adjustment in the estimates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Mobile phone surveys are a promising method for collecting perinatal mortality data. The full pregnancy history instrument produces more plausible results than the shorter truncated pregnancy history questionnaire where the window of retrospection is restricted.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/tmi.14109","type":"journal-article","created":{"date-parts":[[2025,4,21]],"date-time":"2025-04-21T01:43:06Z","timestamp":1745199786000},"page":"521-530","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Mobile phone survey estimates of perinatal mortality in Malawi: A comparison of data from truncated and full pregnancy histories"],"prefix":"10.1111","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6582-1692","authenticated-orcid":false,"given":"Georges","family":"Reniers","sequence":"first","affiliation":[{"name":"Department of Population Health London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8131-7821","authenticated-orcid":false,"given":"Julio","family":"Romero\u2010Prieto","sequence":"additional","affiliation":[{"name":"Department of Population Health London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4819-7028","authenticated-orcid":false,"given":"Michael","family":"Chasukwa","sequence":"additional","affiliation":[{"name":"Institute of Public Opinion and Research  Zomba Malawi"},{"name":"Department of Politics and Government University of Malawi  Zomba Malawi"},{"name":"North\u2010West University, Afrocentric Governance of Public Affairs, Faculty of Humanities  Potchefstroom South\u00a0Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8717-6655","authenticated-orcid":false,"given":"Funny","family":"Muthema","sequence":"additional","affiliation":[{"name":"Institute of Public Opinion and Research  Zomba Malawi"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9929-1917","authenticated-orcid":false,"given":"Sarah","family":"Walters","sequence":"additional","affiliation":[{"name":"Department of Population Health London School of Hygiene and Tropical Medicine  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9585-891X","authenticated-orcid":false,"given":"Bruno","family":"Masquelier","sequence":"additional","affiliation":[{"name":"Center for Demographic Research, UCLouvain  Louvain\u2010la\u2010Neuve Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8075-8564","authenticated-orcid":false,"given":"Jethro","family":"Banda","sequence":"additional","affiliation":[{"name":"Malawi Epidemiology and Intervention Research Unit  Lilongwe Malawi"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7380-1349","authenticated-orcid":false,"given":"Emmanuel","family":"Souza","sequence":"additional","affiliation":[{"name":"Department of Population Studies University of Malawi  Zomba Malawi"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0281-3000","authenticated-orcid":false,"given":"Boniface","family":"Dulani","sequence":"additional","affiliation":[{"name":"Institute of Public Opinion and Research  Zomba Malawi"},{"name":"Department of Politics and Government University of Malawi  Zomba Malawi"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,4,20]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"UNICEF.UNICEF Data: Monitoring the situation of children and women New York.2024[Available from:https:\/\/data.unicef.org\/]"},{"key":"e_1_2_10_3_1","volume-title":"A neglected tragedy: the global burden of stillbirths","author":"UN IGME","year":"2020"},{"key":"e_1_2_10_4_1","volume-title":"Every newborn progress report 2019","author":"WHO","year":"2020"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(21)01112-0"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0004899"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodpol.2021.102153"},{"key":"e_1_2_10_8_1","unstructured":"HendersonS RosenbaumM RoemerJ GlazermanS ParkersonD WarrenS.Remote surveying in a pandemic: research synthesis. 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