Evidence map›Paper›PMID 35941580›Full record

ArticleBMC public health2022

Validation of a COVID-19 mental health and wellness survey questionnaire.

Maha El Tantawi, Morenike Oluwatoyin Folayan, Annie Lu Nguyen, Nourhan M Aly, Oliver Ezechi, Benjamin S C Uzochukwu, Oluwatoyin Adedoyin Alaba, Brandon Brown

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 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

8 authors.

Maha El TantawiDepartment of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Champolion St., Azarita, Alexandria, 21521, Egypt. maha_tantawy@hotmail.com.
Morenike Oluwatoyin FolayanDepartment of Child Dental Health, Obafemi Awolowo University, Ile-Ife, Nigeria.
Annie Lu NguyenDepartment of Family Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Nourhan M AlyDepartment of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Champolion St., Azarita, Alexandria, 21521, Egypt.
Oliver EzechiClinical Sciences Department, Nigerian Institute of Medical Research, Yaba Lagos, Nigeria.
Benjamin S C UzochukwuDepartment of Community Medicine, University of Nigeria, Nsukka, Nigeria.
Oluwatoyin Adedoyin AlabaInstitute of Public Health, Obafemi Awolowo University, Ile-Ife, Nigeria.
Brandon BrownCenter for Healthy Communities, Department of Social Medicine, Population and Public Health, University of California, Riverside School of Medicine, Riverside, USA.

Funding

Cognitive Health, Psychosocial factors, and behaviors relevant to aging successfully with HIVK01AG064986 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NGUYEN, ANNIE LU · 2020 to 2024
$641k
NIA NIH HHS K01 AG064986
6 · The paper itself

Abstract

BACKGROUND AND

aimCOVID-19 affected mental health and wellbeing. Research is needed to assess its impact using validated tools. The study assessed the content validity, reliability and dimensionality of a multidimensional tool for assessing the mental health and wellbeing of adults.

methodsAn online questionnaire collected data in the second half of 2020 from adults in different countries. The questionnaire included nine sections assessing: COVID-19 experience and sociodemographic profile; health and memory; pandemic stress (pandemic stress index, PSI); financial and lifestyle impact; social support; post-traumatic stress disorder (PTSD); coping strategies; self-care and HIV profile over 57 questions. Content validity was assessed (content validity index, CVI) and participants evaluated the test-retest reliability (Kappa statistic and intra-class correlation coefficient, ICC). Internal consistency of scales was assessed (Cronbach α). The dimensionality of the PSI sections and self-care strategies was assessed by multiple correspondence analysis (MCA) using all responses and SPSS. For qualitative validation, we used a semi-structured interview and NVivo was used for coding and thematic analysis.

resultsThe overall CVI = 0.83 with lower values for the memory items. Cronbach α for the memory items = 0.94 and ICC = 0.71. Cronbach α for PTSD items was 0.93 and ICC = 0.89. Test-retest scores varied by section. The 2-dimensions solution of MCA for the PSI behavior section explained 33.6% (precautionary measures dimension), 11.4% (response to impact dimension) and overall variance = 45%. The 2-dimensions of the PSI psychosocial impact explained 23.5% (psychosocial impact of the pandemic dimension), 8.3% (psychosocial impact of the precautionary measures of the pandemic dimension) and overall variance = 31.8%. The 2-dimensions of self-care explained 32.9% (dimension of self-care strategies by people who prefer to stay at home and avoid others), 9% (dimension of self-care strategies by outward-going people) and overall variance = 41.9%. Qualitative analysis showed that participants agreed that the multidimensional assessment assessed the effect of the pandemic and that it was better suited to the well-educated.

conclusionThe questionnaire has good content validity and can be used to assess the impact of the pandemic in cross-sectional studies especially as individual items. The PSI and self-care strategies need revision to ensure the inclusion of items with strong discrimination.

Indexed as

COVID-19Mental HealthAdultCross-Sectional StudiesHumansReproducibility of ResultsSurveys and QuestionnairesCOVID-19Multiple correspondence analysisQuestionnaireReliabilityStressValidity

Identifiers

PMID35941580
PMCPMC9358641

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.