Evidence map›Paper›PMID 40018630›Full record

ArticleBMJ public health2024

Effectiveness of a video-based intervention to improve the interpersonal communication skills of public health midwives in a district of Sri Lanka: a cluster randomised trial.

S A S Prasanna, H T C S Abeysena, M A A P Alagiyawanna

Abstract read
In one paragraph

Article in BMJ public health, 2024. 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
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0citing papers in PubMed
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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

3 authors.

S A S PrasannaHealth Promotion Bureau, Ministry of Health Sri Lanka, Colombo, Sri Lanka.ORCID 0000-0001-6341-9181
H T C S AbeysenaUniversity of Kelaniya Faculty of Medicine, Ragama, Sri Lanka.
M A A P AlagiyawannaHealth Promotion Bureau, Colombo, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the effectiveness of a video-based intervention, the V-BIS, in improving the interpersonal communication skills (IPCS) of public health midwives (PHMs). Design: A cluster randomised trial. Setting: The setting is a Medical Officer of Health (MOH) area, the district's basic administrative unit in public health. The study was conducted at six MOH areas/clusters in a district of Sri Lanka between February and July 2020. Participants: PHMs who completed 6 months of working in the same setting were recruited. Intervention: The V-BIS intervention is a video-based intervention designed to improve the IPCS of PHMs. Main outcome measures: The primary outcome was the proportion of PHMs having good IPCS 1 month after the intervention. The secondary outcomes were (1) the proportion of PHMs having 'good IPCS' 3 months after the intervention and (2) the proportion of PHMs having 'good knowledge of complementary feeding (CF)' practices 1 month after the intervention. Results: Compared with the control group, the intervention group improved their IPCS by 33.0% at 1 month and 18.3% at 3 months after the intervention. The observed differences in skills between the groups were statistically significant at 1 month (adjusted OR=14.00, 95% CI 4.9 to 40.1) and 3 months (adjusted OR=5.52, 95% CI 1.81 to 16.9). Compared with the control group, the intervention group did not significantly improve good knowledge of CF practices 1 month after the intervention (OR=2.61, 95% CI 0.65 to 10.53). Conclusions: The V-BIS intervention effectively improves the IPCS of PHMs and can be used as a training intervention. Trial registration number: SLCTR/2020/006.

Indexed as

Education, MedicalEducation, NursingPrimary PreventionPublic HealthPublic Health Practice

Identifiers

PMID40018630
PMCPMC11816183

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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.