Evidence map›Paper›PMID 38186809›Full record

ArticleJournal of family medicine and primary care2023

Impact of eHealth education to reduce anemia among school-going adolescent girls in rural Bangladesh: Study protocol of a randomized controlled trial.

Md Jiaur Rahman, Md Moshiur Rahman, Masayuki Kakehashi, Ryota Matsuyama, Mohammad Habibur Rahman Sarker, Mohammad Ali, Sumaita Kabir Promitee, Junaidi Budi Prihanto, Ashir Ahmed, Yoko Shimpuku

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. 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

10 authors at 6 institutions in 3 countries.

Md Jiaur RahmanGlobal Health Nursing, Department of Health Science, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Md Moshiur RahmanDepartment of Health Science, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Masayuki KakehashiDepartment of Health Science, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ryota MatsuyamaVeterinary Medicine, Rakuno Gakuen University, Hokkaido, Japan.
Mohammad Habibur Rahman SarkerTraining Unit, International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Mohammad AliDepartment of Medicine, Comilla Medical College, Cumilla, Bangladesh.
Sumaita Kabir PromiteeNutrition and Clinical Service Division, International Centre for Diarrhoeal Disease Research, Bangladesh, Chandpur, Bangladesh.
Junaidi Budi PrihantoPhysical Education, Health and Recreation, Sport Science Faculty, Universitas Negeri Surabaya, Indonesia.
Ashir AhmedDepartment of Advanced Information Technology, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan.
Yoko ShimpukuGlobal Health Nursing, Department of Health Science, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Hiroshima University · JPInternational Centre for Diarrhoeal Disease Research · BDComilla Medical College · BDKyushu University · JPRakuno Gakuen University · JPState University of Semarang · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescent girls are highly vulnerable to developing anemia due to reproductive immaturity, poor personal hygiene, and lack of nutritional intake and health education in rural Bangladesh. Digital health technology is a promising tool to overcome barriers and provide appropriate health guidelines. We aim to evaluate eHealth education's impact and changes in adolescent girls' knowledge, attitude, and practice regarding anemia. A 1:1 parallel randomized control trial was conducted among school-going adolescent girls in rural Bangladesh. A total of 138 anemic (mild and moderate) participants were enrolled. We randomized schools to reduce the health education bias through a simple coin toss technique, then allocated participants to the intervention group (n = 69) and control group (n = 69) by stratified random sampling technique. The intervention group received two online counseling sessions and 8-month eHealth education through mobile phone calls and short message service regarding anemia. The control group received the usual care. The primary endpoint changes the anemic level through changing knowledge, healthy lifestyle behavior, and an iron-rich food dietary plan. Per-protocol analysis will utilize to compare the control and intervention groups using SPSS software. Descriptive statistics (frequencies, percentages, mean, SD) will be employed, and continuous variables will be compared using the t-test/Mann-Whitney test. Two-way analysis of variance will assess outcome variables at baseline, 4 months, and 8 months. The 8-month intervention is designed from May 2022 to February 2023. Participants' age range of 10-14 years was 60.9% in the intervention group and 56.5% in the control group. Among the participants, 89.9% and 88.4% were mild anemic; 11.11 (SD ± 0.80) and 11.06 (SD ± 0.96) were mean hemoglobin in the intervention and control groups, respectively. eHealth education is expected to be an effective way to increase knowledge and healthy behavioral change, which can reduce the anemia burden among adolescent girls.

Indexed as

Adolescent girlanemiaBangladesheHealthmHealth

Identifiers

PMID38186809
PMCPMC10771192
OpenAlexW4388828642

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.