| Title |
Mobile-health tool to improve maternal and neonatal health care in Bangladesh: a cluster randomized controlled trial
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, April 2018
|
| DOI | 10.1186/s12884-018-1714-4 |
| Pubmed ID | |
| Authors |
Ruoyan Gai Tobe, Syed Emdadul Haque, Kiyoko Ikegami, Rintaro Mori |
| Abstract |
In Bangladesh, the targets on reduction of maternal mortality and utilization of related obstetric services provided by skilled health personnel in Millennium Development Goals 5 remains unmet, and the progress in reduction of neonatal mortality lag behind that in the reduction of infant and under-five mortalities, remaining as an essential issue towards the achievement of maternal and neonatal health targets in health related Sustainable Development Goals (SDGs). As access to appropriate perinatal care is crucial to reduce maternal and neonatal deaths, recently several mobile platform-based health programs sponsored by donor countries and Non-Governmental Organizations have targeted to reduce maternal and child mortality. On the other hand, good health-care is necessary for the development. Thus, we designed this implementation research to improve maternal and child health care for targeting SDGs. This cluster randomized trial will be conducted in Lohagora of Narail District and Dhamrai of Dhaka District. Participants are pregnant women in the respective areas. The total sample size is 3000 where 500 pregnant women will get Mother and Child Handbook (MCH) and messages using mobile phone on health care during pregnancy and antenatal care about one year in each area. The other 500 in each area will get health education using only MCH book. The rest 1000 participants will be controlled; it means 500 in each area. We randomly assigned the intervention and controlled area based on smallest administrative area (Unions) in Bangladesh. The data collection and health education will be provided through trained research officers starting from February 2017 to August 2018. Each health education session is conducting in their house. The study proposal was reviewed and approved by NCCD, Japan and Bangladesh Medical Research Council (BMRC), Bangladesh. The data will be analyzed using STATA and SPSS software. For the improvement of maternal and neonatal care, this community-based intervention using mobile phone and handbook will do great contribution. Thus, a developing country where resources are limited received the highest benefit. Such intervention will guide to design for prevention of other diseases too. UMIN000025628 Registered June 13, 2016. |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 265 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 54 | 20% |
| Researcher | 27 | 10% |
| Student > Ph. D. Student | 26 | 10% |
| Student > Bachelor | 20 | 8% |
| Student > Postgraduate | 11 | 4% |
| Other | 29 | 11% |
| Unknown | 98 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 41 | 15% |
| Medicine and Dentistry | 41 | 15% |
| Social Sciences | 20 | 8% |
| Computer Science | 11 | 4% |
| Psychology | 9 | 3% |
| Other | 34 | 13% |
| Unknown | 109 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2018.
All research outputs
#5,815,414
of 23,043,346 outputs
Outputs from BMC Pregnancy and Childbirth
#1,508
of 4,242 outputs
Outputs of similar age
#92,212
of 296,868 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#53
of 114 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,242 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 61% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 296,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.