Evidence map›Paper›PMID 37397944›Full record

ArticleGlobal health & medicine2023

Introduction and roll-out of self-learning App for midwifery during the COVID-19 pandemic and its sustainability in Cambodia.

Ikuma Nozaki, Minori Tsukada, Pech Sothy, Kim Rattana, Kate Williams

Abstract read
In one paragraph

Article in Global health & medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ikuma NozakiBureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
Minori TsukadaExpert of JICA technical cooperation project, Tokyo, Japan.
Pech SothyNational Maternal Child Health Center, Phnom Penh, Cambodia.
Kim RattanaNational Maternal Child Health Center, Phnom Penh, Cambodia.
Kate WilliamsMaternity Foundation, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Similar to other countries, coronavirus disease (COVID-19) pandemic significantly impacted not only the ability of midwives to deliver high quality maternal care, but also their ability to access professional development opportunities, including in-service training in Cambodia. In response, we developed a Cambodian version of Safe Delivery App (SDA), aligned to Cambodia's clinical guidelines. The SDA is a free digital job aid and learning platform for skilled birth attendants developed by Maternity Foundation that works offline and is used in more than 40 countries after adapting to the country context. In the year and a half since its launch in June 2021, SDA has become established in Cambodia, with more than 3,000 people, accounting for nearly half the number of midwives in Cambodia, downloading and using it on their devices, and 285 people having completed its self-learning modules. The review of the introduction process revealed that publicity on the professional association's social networking sites, in-person in-depth hands-on training, and troubleshooting in a managed social networking group were useful in promoting the use of the application, and that the Continuing Professional Development Program accreditation has been a strong motivator for completing the self-study program. On the other hand, the COVID-19 pandemic has led to increased use of digital tools, but it is important to prevent the expansion of the digital divide when implementing new digital tools, including SDA.

Indexed as

continuous professional developmentCOVID-19digital divideSafe Delivery Appself-learning digital toolsustainability

Identifiers

PMID37397944
PMCPMC10311676

What OpenQuestion holds

Textmetadata
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.