Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved]
Background: Pregnancy identification and follow-up surveillance can enhance the reporting of pregnancy outcomes, including stillbirths and perinatal and early postnatal mortality. This paper reviews pregnancy surveillance methods used in Health and Demographic Surveillance Systems (HDSSs) in low- an...
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Format: | Article |
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F1000 Research Ltd
2021-09-01
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Series: | Gates Open Research |
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Online Access: | https://gatesopenresearch.org/articles/5-144/v1 |
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author | Georges Reniers Solveig Argeseanu Cunningham Christie Kwon Hallie Eilerts Abu Mohd Naser |
author_facet | Georges Reniers Solveig Argeseanu Cunningham Christie Kwon Hallie Eilerts Abu Mohd Naser |
author_sort | Georges Reniers |
collection | DOAJ |
description | Background: Pregnancy identification and follow-up surveillance can enhance the reporting of pregnancy outcomes, including stillbirths and perinatal and early postnatal mortality. This paper reviews pregnancy surveillance methods used in Health and Demographic Surveillance Systems (HDSSs) in low- and middle-income countries. Methods: We searched articles containing information about pregnancy identification methods used in HDSSs published between January 2002 and October 2019 using PubMed and Google Scholar. A total of 37 articles were included through literature review and 22 additional articles were identified via manual search of references. We reviewed the gray literature, including websites, online reports, data collection instruments, and HDSS protocols from the Child Health and Mortality Prevention Study (CHAMPS) Network and the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH). In total, we reviewed information from 52 HDSSs described in 67 sources. Results: Substantial variability exists in pregnancy surveillance approaches across the 52 HDSSs, and surveillance methods are not always clearly documented. 42% of HDSSs applied restrictions based on residency duration to identify who should be included in surveillance. Most commonly, eligible individuals resided in the demographic surveillance area (DSA) for at least three months. 44% of the HDSSs restricted eligibility for pregnancy surveillance based on a woman’s age, with most only monitoring women 15-49 years. 10% had eligibility criteria based on marital status, while 11% explicitly included unmarried women in pregnancy surveillance. 38% allowed proxy respondents to answer questions about a woman’s pregnancy status in her absence. 20% of HDSSs supplemented pregnancy surveillance with investigations by community health workers or key informants and by linking HDSS data with data from antenatal clinics. Conclusions: Methodological guidelines for conducting pregnancy surveillance should be clearly documented and meticulously implemented, as they can have implications for data quality and accurately informing maternal and child health programs. |
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id | doaj.art-432ee448f2fc482fb12762990bbc3e65 |
institution | Directory Open Access Journal |
issn | 2572-4754 |
language | English |
last_indexed | 2024-04-12T14:55:58Z |
publishDate | 2021-09-01 |
publisher | F1000 Research Ltd |
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series | Gates Open Research |
spelling | doaj.art-432ee448f2fc482fb12762990bbc3e652022-12-22T03:28:14ZengF1000 Research LtdGates Open Research2572-47542021-09-01514575Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved]Georges Reniers0Solveig Argeseanu Cunningham1https://orcid.org/0000-0002-2354-1526Christie Kwon2https://orcid.org/0000-0002-0628-7191Hallie Eilerts3Abu Mohd Naser4London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UKGlobal Health Institute, Emory University, Atlanta, GA, 30322-4201, USAGlobal Health Institute, Emory University, Atlanta, GA, 30322-4201, USALondon School of Hygiene and Tropical Medicine, London, WC1E 7HT, UKGlobal Health Institute, Emory University, Atlanta, GA, 30322-4201, USABackground: Pregnancy identification and follow-up surveillance can enhance the reporting of pregnancy outcomes, including stillbirths and perinatal and early postnatal mortality. This paper reviews pregnancy surveillance methods used in Health and Demographic Surveillance Systems (HDSSs) in low- and middle-income countries. Methods: We searched articles containing information about pregnancy identification methods used in HDSSs published between January 2002 and October 2019 using PubMed and Google Scholar. A total of 37 articles were included through literature review and 22 additional articles were identified via manual search of references. We reviewed the gray literature, including websites, online reports, data collection instruments, and HDSS protocols from the Child Health and Mortality Prevention Study (CHAMPS) Network and the International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH). In total, we reviewed information from 52 HDSSs described in 67 sources. Results: Substantial variability exists in pregnancy surveillance approaches across the 52 HDSSs, and surveillance methods are not always clearly documented. 42% of HDSSs applied restrictions based on residency duration to identify who should be included in surveillance. Most commonly, eligible individuals resided in the demographic surveillance area (DSA) for at least three months. 44% of the HDSSs restricted eligibility for pregnancy surveillance based on a woman’s age, with most only monitoring women 15-49 years. 10% had eligibility criteria based on marital status, while 11% explicitly included unmarried women in pregnancy surveillance. 38% allowed proxy respondents to answer questions about a woman’s pregnancy status in her absence. 20% of HDSSs supplemented pregnancy surveillance with investigations by community health workers or key informants and by linking HDSS data with data from antenatal clinics. Conclusions: Methodological guidelines for conducting pregnancy surveillance should be clearly documented and meticulously implemented, as they can have implications for data quality and accurately informing maternal and child health programs.https://gatesopenresearch.org/articles/5-144/v1pregnancy surveillance Health and Demographic Surveillance Systems maternal and child healtheng |
spellingShingle | Georges Reniers Solveig Argeseanu Cunningham Christie Kwon Hallie Eilerts Abu Mohd Naser Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved] Gates Open Research pregnancy surveillance Health and Demographic Surveillance Systems maternal and child health eng |
title | Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved] |
title_full | Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved] |
title_fullStr | Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved] |
title_full_unstemmed | Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved] |
title_short | Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems [version 1; peer review: 2 approved] |
title_sort | pregnancy surveillance methods within health and demographic surveillance systems version 1 peer review 2 approved |
topic | pregnancy surveillance Health and Demographic Surveillance Systems maternal and child health eng |
url | https://gatesopenresearch.org/articles/5-144/v1 |
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