Evidence map›Paper›PMID 36294173›Full record

ArticleInternational journal of environmental research and public health2022

Implementation Outcomes of National Convergence Action Policy to Accelerate Stunting Prevention and Reduction at the Local Level in Indonesia: A Qualitative Study.

Dewi Marhaeni Diah Herawati, Deni Kurniadi Sunjaya

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

2 authors.

Dewi Marhaeni Diah HerawatiDepartment of Public Health, Faculty of Medicine Universitas Padjadjaran, Bandung 40161, Indonesia.ORCID 0000-0002-3717-4763
Deni Kurniadi SunjayaDepartment of Public Health, Faculty of Medicine Universitas Padjadjaran, Bandung 40161, Indonesia.

Funding

Indonesian Ministry of Health 178/UN6.C/PKS/2019
6 · The paper itself

Abstract

The study aims to explore the implementation outcome variables of Indonesia's national policy convergence action in the stunting reduction intervention at district, sub-district, and village levels. The study design was qualitative with an implementation research approach at District Cirebon, Indonesia. Data were collected through in-depth interviews, focus group discussions, study documents, and 6 months of participant observation. We recruited 172 respondents. The assessment instrument used was formed on was implementation outcomes variables. Data were analyzed through coding, categorizing and thematic content analysis based on a predetermined theme. Comparative cross district activity-site analysis was applied between sub-districts and villages. The implementation outcome variables for the convergence action policy were performed well at the district level, in line with the central government's adequate regulation, control, and budget. Meanwhile, the sub-district and village levels only performed aspects of acceptability, appropriateness, and coverage for specific interventions. The acceptability level in the village was only partially running. The barriers at the sub-district and village levels were issues of commitment, staff capacity, and poor coordination. Superficial understanding and capacity weaknesses drove the convergence of the stunting reduction responsibility back into the burden of the health sector at the forefront. Local politics also colored the implementation in the village.

Indexed as

Growth DisordersPolicyFocus GroupsHumansIndonesiaQualitative Researchconvergence action policyimplementation outcomeIndonesialocal levelstunting prevention and reduction

Identifiers

PMID36294173
PMCPMC9602846

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Registered trials

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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.