Evidence map›Paper›PMID 36931104›Full record

ArticleSocial science & medicine (1982)2023

Therapeutic landscapes, networks, and health and wellbeing during the COVID-19 pandemic: A mixed-methods study among female domestic workers.

Fikriyah Winata, Sara L McLafferty

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Fikriyah WinataDepartment of Geosciences, Mississippi State University, 108 Hilbun Hall, 355 Lee Boulevard, Mississippi State, MS 39762, USA. Electronic address: fw315@msstate.edu.
Sara L McLaffertyDepartment Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Natural History Building, 1301 W. Green St. Urbana, Illinois, 61801, USA. Electronic address: smclaff@illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had profound impacts on access to and use of therapeutic landscapes and networks, especially for people who are vulnerable due to economic, social, and work-related disadvantage. For one such vulnerable population, Indonesian female domestic workers (FDWs) in Hong Kong, this study employed a mixed methods approach to examine the associations between perceptions of therapeutic landscapes (TLs), therapeutic networks (TNs), subjective wellbeing, and self-rated health during the COVID-19 pandemic. Data from an online survey were analyzed via structural equation modeling (SEM) and confirmatory factor analysis (CFA) to investigate the direct and indirect associations between TLs, TNs, and health and wellbeing. The findings demonstrate little or no association among FDWs' perceptions of TLs and TNs and FDWs' self-rated health and subjective wellbeing, except for a negative total association between TL and subjective wellbeing. Using insights gleaned from thematic analysis of in-depth interviews with FDWs, we suggest that these unexpected findings are mainly due to restricted access to public places, reduced social gatherings, and the fact that employers rarely granted days off during the lockdown. Although processes at the employer and municipal scales limited FDWs' access to therapeutic places, increased use of digital communications and spaces provided an important source of social and emotional support during the pandemic.

Indexed as

COVID-19Communicable Disease ControlFemaleHong KongHumansIndonesiaPandemicsCOVID-19 pandemicHong KongIndonesian female domestic Workers (FDWs)Self-rated healthSubjective wellbeingTherapeutic landscapes & networks

Identifiers

PMID36931104
PMCPMC9946732

What OpenQuestion holds

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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.