Evidence map›Paper›PMID 39207507›Full record

ArticleInternational journal of biometeorology2024

Development, validation and reliability of scales and items for heat wave risk assessment of pregnant women.

Ashish Kc, Sujeena Maharjan, Omkar Basnet, Honey Malla, Rejina Gurung, Sunil Mani Pokharel, Gyanu Kumari Ghimire, Masoud Vaezghasemi, Julia Schröders

Abstract read
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Article in International journal of biometeorology, 2024. 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
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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

9 authors.

Ashish KcSchool of Public Health and Community Medicine, University of Gothenburg, Medicinaregatan 18, Gothenburg 43190, Sweden. ashish.k.c@gu.se.ORCID http://orcid.org/0000-0002-0541-4486
Sujeena MaharjanResearch Division, Golden Community, Jawgal, Lalitpur, Nepal.
Omkar BasnetResearch Division, Golden Community, Jawgal, Lalitpur, Nepal.
Honey MallaResearch Division, Golden Community, Jawgal, Lalitpur, Nepal.
Rejina GurungResearch Division, Golden Community, Jawgal, Lalitpur, Nepal.
Sunil Mani PokharelBharatpur Hospital, Ministry of Health and Population, Chitwan, Nepal.
Gyanu Kumari GhimireResearch Division, Golden Community, Jawgal, Lalitpur, Nepal.
Masoud Vaezghasemi *Department of Epidemiology and Global Health, Umeå University, Umeå 90187, Sweden.
Julia Schröders *Department of Epidemiology and Global Health, Umeå University, Umeå 90187, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 1.2 °C rise of global ambient temperature since the pre-industrial era has led to an increase the intensity and frequency of heatwaves. Given the heightened vulnerability of pregnant women to heat stress, there is an urgent need for tools which accurately assess the knowledge, risk, and perception of pregnant woman toward heatwaves, enabling effective policy actions. In this research, we developed and validated tools to evaluate pregnant women's perceptions of heat wave risks and behaviors.

methodWe developed 50 items across seven constructs using the Health Belief Model, identified through a systematic literature review. The constructs comprised 8 Knowledge(K) items, 4 in Perceived Vulnerability (PV), 5 in Perceived Severity (PS), 6 in Perceived Benefit (PB), 4 in Perceived Barrier (PBa), 5 in Cue to Action(Cu) and 18 in Adaptation(A). Cognitive testing was performed with a separate group of pregnant women(n = 20). The tested tools were then administered to 120 pregnant women residing during the spring-summer 2023. Construct validation utilized exploratory factor analysis.

resultsThe Principal Axis Factoring Method was employed in the EFA with oblimin rotation for 51 items, considering communality > 0.20, and aiming to extract three factors. Across the three factors with Cronbach's alpha > 0.70, a total of 11 items were distributed. Factor 1 included Perceived Severity (PS1, PS2, PS3 and PS5); Factor 2 included Cue to Action (Cu1, Cu2, Cu3, and Cu4); and Factor 3 encompassed Perceived Vulnerability (PV1, PV2, PV4). Only two of the retained items had factor loadings > 0.50, namely PV4 and PS5. Consequently, the three constructs measuring Perceived Severity, Cues to Action, and Perceived Vulnerability using the HBM among pregnant women were deemed valid.

conclusionOur study has successfully validated a highly reliable tool which stands ready for application in assessing pregnant women's risk perception regarding heatwaves.

Indexed as

Hot TemperatureAdultFemaleHealth Knowledge, Attitudes, PracticeHumansPregnancyReproducibility of ResultsRisk AssessmentSurveys and QuestionnairesYoung AdultConstruct validationHeatwavesNepalPregnant womenReliability assessmentRisk assessment

Identifiers

PMID39207507
PMCPMC11519304

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LicenceCC BY
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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.