Evidence map›Paper›PMID 30526560›Full record

Trial reportBMC public health2018

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.

Shumona Sharmin Salam, Nazia Binte Ali, Ahmed Ehsanur Rahman, Tazeen Tahsina, Md Irteja Islam, Afrin Iqbal, Dewan Md Emdadul Hoque, Samir Kumar Saha, Shams El Arifeen

Registry-linked trialOpen access · goldAbstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02944747 (Saving Lives With Better Gestational Age Estimation), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02944747 naunknown statusnot on this map

Saving Lives With Better Gestational Age Estimation: Improving the Accuracy of Recall and Reporting of the Date of Last Menstrual Period (LMP) in Rural Bangladesh

TypeinterventionalSponsorInternational Centre for Diarrhoeal Disease Research, BangladeshRan2017 to 2022Enrolled3,360ConditionsPremature BirthArmsEducation & paper based calendar, Education & SMS system, Education & smart-phone application
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Shumona Sharmin SalamMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh. shumona@icddrb.org.
Nazia Binte AliMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
Ahmed Ehsanur RahmanMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
Tazeen TahsinaMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
Md Irteja IslamMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
Afrin IqbalMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
Dewan Md Emdadul HoqueMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
Samir Kumar SahaDepartment of Microbiology, Dhaka Shishu (Children's) Hospital, Dhaka, 1207, Bangladesh.
Shams El ArifeenMaternal and Child Health Division, icddr,b, Dhaka, 1212, Bangladesh.
International Centre for Diarrhoeal Disease Research · BDDhaka Shishu Hospital · BD

Funding

Bill and Melinda Gates Foundation OPP1142797
6 · The paper itself

Abstract

backgroundGestational 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.

methodWe 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 registrationClinicalTrials.gov NCT02944747 . The trial has been registered before starting enrolment on 24 October 2016.

Indexed as

Community Health ServicesMenstrual CycleMental RecallRural PopulationAdolescentAdultBangladeshCalendars as TopicCluster AnalysisCounselingData CollectionFemaleHumansMobile ApplicationsPaperReproducibility of ResultsBangladeshGestational ageLMPM-healthMobile phonePreterm birthRecall

Identifiers

PMID30526560
PMCPMC6288958
OpenAlexW2903684699

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.