Friday, 1 September 2017

PMA 2020 WASH, Family Planning and Menstrual Hygiene Key Indicators and Finding for Rajasthan

PMA2020 uses innovative mobile technology to support low-cost, rapid-turnaround surveys to monitor key indicators for family planning and water, sanitation and hygiene (WASH). The project is implemented by local university and research organizations in 11 countries, deploying a cadre of female resident enumerators trained in mobile-assisted data collection. PMA2020/India is implemented by the Indian Institute of Health Management Research (IIHMR) in Jaipur, with endorsement and technical support provided by the International Institute for Population Sciences (IIPS) and the Ministry of Health and Family Welfare (MOHFW). Overall direction and support is provided by the Bill & Melinda Gates Institute for Population and Reproductive Health and the Johns Hopkins University Water Institute and at the Johns Hopkins Bloomberg School of Public Health
through a grant from the Bill & Melinda Gates Foundation.

PMA 2020 Brief findings of Key indicators of WASH 

PMA2020  key indicators for family planning.

Globally, many women and girls face challenges when managing their menstruation. Failure to address the menstrual hygiene needs of women and girls can have far-reaching consequences for basic hygiene, sanitation and reproductive health, ultimately affecting progress towards the SDG goal of gender equality.
Menstrual Hygiene Management (MHM) refers to the practice of using clean materials to absorb menstrual blood that can be changed privately, safely, hygienically, and as often as needed for the duration of the menstrual cycle. PMA2020 is the first survey platform to provide data on MHM indicators on a large scale. The data presented here are from a statewide survey in Rajasthan of 5,084 females aged 15 to 49, conducted by PMA2020 India.

PMA 2020 Menstrual Hygiene Management
 The PMA2017/Rajasthan Round 2 survey used a two-stage cluster design. A sample of 147 enumeration areas (EAs) was drawn by the International Institute for Population Sciences from a master sampling frame. In each EA households and private health facilities were listed and mapped, with 35 households randomly selected. Households were surveyed and occupants enumerated. All eligible females age 15 to 49 were contacted and consented for interviews. The final completed sample included 4,994 households (98.3% response rate), 6,041 females (98.3% response rate) and 602 health facilities (96.8% response rate). Private service delivery points (SDPs) in contiguous geographic areas to the EA were included in Round 2 to increase the sample size of private SDPs. Weights were generated to account for oversampling. All estimates are weighted. Data collection was conducted between February and April 2017.

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