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Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh

BACKGROUND: Gestational age (GA) is a key determinant of newborn survival and long-term impairment. Accurate estimation of GA facilitates timely provision of essential interventions to improve maternal and newborn outcomes. Menstrual based dating, ultrasound based dating, and neonatal estimates are...

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Autores principales: Salam, Shumona Sharmin, Ali, Nazia Binte, Rahman, Ahmed Ehsanur, Tahsina, Tazeen, Islam, Md. Irteja, Iqbal, Afrin, Hoque, Dewan Md. Emdadul, Saha, Samir Kumar, El Arifeen, Shams
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288958/
https://www.ncbi.nlm.nih.gov/pubmed/30526560
http://dx.doi.org/10.1186/s12889-018-6258-z
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author Salam, Shumona Sharmin
Ali, Nazia Binte
Rahman, Ahmed Ehsanur
Tahsina, Tazeen
Islam, Md. Irteja
Iqbal, Afrin
Hoque, Dewan Md. Emdadul
Saha, Samir Kumar
El Arifeen, Shams
author_facet Salam, Shumona Sharmin
Ali, Nazia Binte
Rahman, Ahmed Ehsanur
Tahsina, Tazeen
Islam, Md. Irteja
Iqbal, Afrin
Hoque, Dewan Md. Emdadul
Saha, Samir Kumar
El Arifeen, Shams
author_sort Salam, Shumona Sharmin
collection PubMed
description BACKGROUND: Gestational age (GA) is a key determinant of newborn survival and long-term impairment. Accurate estimation of GA facilitates timely provision of essential interventions to improve maternal and newborn outcomes. Menstrual based dating, ultrasound based dating, and neonatal estimates are the primarily used methods for assessing GA; all of which have some strength and weaknesses that require critical consideration. Last menstrual period (LMP) is simple, low-cost self-reported information, recommended by the World Health Organization for estimating GA but has issues of recall mainly among poorer, less educated women and women with irregular menstruation, undiagnosed abortion, and spotting during early pregnancy. Several studies have noted that about 20–50% of women cannot accurately recall the date of LMP. The goal of this study is therefore to improve recall and reporting of LMP and by doing so increase the accuracy of LMP based GA assessment in a rural population of Bangladesh where antenatal care-seeking, availability and utilization of USG is low. METHOD: We propose to conduct a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing three interventions to improve recall of GA with a no intervention arm. The interventions include (i) counselling and a paper based calendar (ii) counselling and a cell phone based SMS alert system (iii) counselling and smart-phone application. The trial is being conducted among 3360 adolescent girls and recently married women in Mirzapur sub-district of Bangladesh. DISCUSSION: Enrolment of study participants continued from January 24, 2017 to March 29, 2017. Data collection and intervention implementation is ongoing and will end by February, 2019. Data analysis will measure efficacy of interventions in improving the recall of LMP date among enrolled participants. Results will be reported following CONSORT guideline. The innovative conventional & e-platform based interventions, if successful, can provide substantial evidence to scale-up in a low resource setting where m-Health initiatives are proliferating with active support from all sectors in policy and implementation. TRIAL REGISTRATION: ClinicalTrials.gov NCT02944747. The trial has been registered before starting enrolment on 24 October 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6258-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-62889582018-12-14 Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh Salam, Shumona Sharmin Ali, Nazia Binte Rahman, Ahmed Ehsanur Tahsina, Tazeen Islam, Md. Irteja Iqbal, Afrin Hoque, Dewan Md. Emdadul Saha, Samir Kumar El Arifeen, Shams BMC Public Health Study Protocol BACKGROUND: Gestational age (GA) is a key determinant of newborn survival and long-term impairment. Accurate estimation of GA facilitates timely provision of essential interventions to improve maternal and newborn outcomes. Menstrual based dating, ultrasound based dating, and neonatal estimates are the primarily used methods for assessing GA; all of which have some strength and weaknesses that require critical consideration. Last menstrual period (LMP) is simple, low-cost self-reported information, recommended by the World Health Organization for estimating GA but has issues of recall mainly among poorer, less educated women and women with irregular menstruation, undiagnosed abortion, and spotting during early pregnancy. Several studies have noted that about 20–50% of women cannot accurately recall the date of LMP. The goal of this study is therefore to improve recall and reporting of LMP and by doing so increase the accuracy of LMP based GA assessment in a rural population of Bangladesh where antenatal care-seeking, availability and utilization of USG is low. METHOD: We propose to conduct a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing three interventions to improve recall of GA with a no intervention arm. The interventions include (i) counselling and a paper based calendar (ii) counselling and a cell phone based SMS alert system (iii) counselling and smart-phone application. The trial is being conducted among 3360 adolescent girls and recently married women in Mirzapur sub-district of Bangladesh. DISCUSSION: Enrolment of study participants continued from January 24, 2017 to March 29, 2017. Data collection and intervention implementation is ongoing and will end by February, 2019. Data analysis will measure efficacy of interventions in improving the recall of LMP date among enrolled participants. Results will be reported following CONSORT guideline. The innovative conventional & e-platform based interventions, if successful, can provide substantial evidence to scale-up in a low resource setting where m-Health initiatives are proliferating with active support from all sectors in policy and implementation. TRIAL REGISTRATION: ClinicalTrials.gov NCT02944747. The trial has been registered before starting enrolment on 24 October 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-6258-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-10 /pmc/articles/PMC6288958/ /pubmed/30526560 http://dx.doi.org/10.1186/s12889-018-6258-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Salam, Shumona Sharmin
Ali, Nazia Binte
Rahman, Ahmed Ehsanur
Tahsina, Tazeen
Islam, Md. Irteja
Iqbal, Afrin
Hoque, Dewan Md. Emdadul
Saha, Samir Kumar
El Arifeen, Shams
Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh
title Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh
title_full Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh
title_fullStr Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh
title_full_unstemmed Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh
title_short Study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (LMP) dates in rural Bangladesh
title_sort study protocol of a 4- parallel arm, superiority, community based cluster randomized controlled trial comparing paper and e-platform based interventions to improve accuracy of recall of last menstrual period (lmp) dates in rural bangladesh
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288958/
https://www.ncbi.nlm.nih.gov/pubmed/30526560
http://dx.doi.org/10.1186/s12889-018-6258-z
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