Evidence map›Paper›PMID 35962449›Full record

ArticleBMC health services research2022

International guidelines to inform policy development to address client violence in South Africa: an ATA-document analysis.

Lucé Pretorius, Alida G Herbst

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. 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
0.8field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Lucé PretoriusSocial Worker in Private Practice and Doctoral Student in the Community Psychosocial Research Entity (COMPRES), North-West University, Potchefstroom, South Africa. lucekleynhans@hotmail.com.
Alida G HerbstProfessor of Social Work and Researcher in the Community Psychosocial Research Entity (COMPRES), North-West University, Potchefstroom, South Africa.
North-West University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch shows that the most typical response to client violence has been to implement policies that safeguard social workers at their workplaces. This article examined, through a document analysis, the international norms for the protection of social workers. The goal of the document analysis was to inform policy development in South Africa against client violence.

methodsThe researchers found, selected, analysed, and synthesised 17 international policies, frameworks, protocols, guidelines, and legislative frameworks using the applied thematic analysis (ATA) approach. The data was analysed at three levels, and open coding yielded 18 codes.

resultsThe codes were refined into three main themes and subthemes related to protecting social workers from client violence: (1) employers inspired a culture of safety and security within the work-environment, (2) social workers prioritised their safety by using their clinical skills, and (3) actively implementing initiatives to ensure the safety of social workers.

conclusionsThe research highlighted social work safety while providing services at an office, visiting sites, or traveling. Examining these practicalities provided valuable data that can inform policy development processes in different countries.

Indexed as

ViolenceWorkplaceHumansPolicy MakingSocial WorkSouth AfricaClient violencePoliciesSafeguarding initiativesSafety and protectionSocial workersWorkplace violence

Identifiers

PMID35962449
PMCPMC9373364
OpenAlexW4291633049

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.