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Menstrual Health and Worker Productivity in the Bangladeshi Garment Sector
Last registered on November 16, 2018

Pre-Trial

Trial Information
General Information
Title
Menstrual Health and Worker Productivity in the Bangladeshi Garment Sector
RCT ID
AEARCTR-0003298
Initial registration date
October 08, 2018
Last updated
November 16, 2018 9:08 AM EST
Location(s)

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Primary Investigator
Affiliation
CERGE-EI
Other Primary Investigator(s)
PI Affiliation
University of Warwick
PI Affiliation
LMU Munich
Additional Trial Information
Status
In development
Start date
2018-09-22
End date
2020-12-31
Secondary IDs
PEDL ERG 5549
Abstract
We conduct a randomized controlled experiment in which randomly selected female workers in Bangladeshi garment factories will be given access to free menstrual health classes and free disposable menstrual pads to manage their period. Recent studies indicate that no more than 40 percent of garment workers in Bangladesh regularly use hygienic menstrual pads to manage their menstruation. We want to study the effects of this intervention on worker’s well-being, health, and productivity, and whether such an intervention would yield a positive return if financed by the factories. We furthermore want to shed light on how common health taboos, such as those still surrounding menstrual health in many countries, affect the effectiveness of health interventions in providing health information, behaviour change and health technology adoption.
External Link(s)
Registration Citation
Citation
Czura, Kristina, Andreas Menzel and Martina Miotto. 2018. "Menstrual Health and Worker Productivity in the Bangladeshi Garment Sector." AEA RCT Registry. November 16. https://doi.org/10.1257/rct.3298-2.0.
Former Citation
Czura, Kristina et al. 2018. "Menstrual Health and Worker Productivity in the Bangladeshi Garment Sector." AEA RCT Registry. November 16. http://www.socialscienceregistry.org/trials/3298/history/37326.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
We are testing the effectiveness of free Menstrual health classes, and of access to free sanitary pads, in improving MHM management, worker well-being, and work absenteeism.
Intervention Start Date
2018-10-08
Intervention End Date
2019-06-30
Primary Outcomes
Primary Outcomes (end points)
Work Absenteeism (measured through factory HR records at individual worker level)
Adoption of pads (measured both through surveys, through administrative data from pad distribution, and at those factory where available, purchases from factory shop).
Self-reported well-being (surveys).
Willingness to pay for sanitary pads.
Perceived taboos around menstruation.
Primary Outcomes (explanation)
Self-reported well-being: Individual survey questions and additive index from survey questions.
Willingness to pay for sanitary pads: Through Becker -de Groot Mechanism.
Perceived taboos around menstruation: Elicited through incentivised survey questions (monetary reward of mentioning modal extend of taboo as reported by others in survey). E.g. can a women cook during her period, go to mosque, go to bazaar....
Secondary Outcomes
Secondary Outcomes (end points)
Reported difficulty of working and achieving targets during period (survey based).
Worker Turnover (measured through factory HR records at individual worker level).
Menstrual Health Care Knowledge of Workers.
Secondary Outcomes (explanation)
Menstrual Health Care Knowledge of Workers: E.g. measured through question at baseline and follow-up survey, "Should washed cloth used during menstruation be dried in the sunlight?"
Experimental Design
Experimental Design
We implement at 2x2 Design of our two basic interventions - menstrual health classes, and access to free pads - with 1000 workers in the initial phase (250 workers in each cell).

The treatments will be assigned at the worker level, randomisation will be stratified at factory level.

Subject to funding, the project will be scaled up to 2000 workers in total.
Experimental Design Details
Not available
Randomization Method
At computer in office.
Randomization Unit
Individual workers
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1000 workers (in Phase 1)
1000 workers (in Phase 2)
Sample size: planned number of observations
1000 workers (in Phase 1) 1000 workers (in Phase 2)
Sample size (or number of clusters) by treatment arms
250 workers controls, 250 workers attending MHM classes, 250 worker getting access to free pads, 250 worker getting access to both MHM classes and free pads.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We have good data on worker absenteeism of the same kind we plan to collect during our experiment on our sample worker. We assume that inluding the planned Phase 2 of the project (which will be largely identical to Phase 1), we will eventually have had 2000 workers in combined sample. If we assume we have on average 10 monthly absenteeism observations per worker, and use the empirical mean absenteeism rate (3.2%), its standard deviation (7.6%), and intra-worker correlation (0.23), a sample of 2000 workers will allow to detect a reduction of 18% in absenteeism with power 80%, and 21% with power 90% (two-sided tests).
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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