Evidence map›Paper›PMID 37261239›Full record

ArticleFrontiers in public health2023

External validation of the parental attitude about childhood vaccination scale.

Ramy Mohamed Ghazy, Sally Waheed Elkhadry, Suzan Abdel-Rahman, Sarah Hamed N Taha, Naglaa Youssef, Abdelhamid Elshabrawy, Sarah Assem Ibrahim, Salah Al Awaidy, Tareq Al-Ahdal, Bijaya Kumar Padhi and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026
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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

11 authors.

Ramy Mohamed GhazyTropical Health Department, High Institute of Public Health, Alexandria University, Alexandria, Egypt.
Sally Waheed ElkhadryEpidemiology and Preventive Medicine Department, National Liver Institute, Menoufia University, Menoufia, Egypt.
Suzan Abdel-RahmanBiostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt.
Sarah Hamed N TahaForensic Medicine and Clinical Toxicology Department, Faculty of Medicine, Cairo University, Giza, Egypt.
Naglaa YoussefDepartment of Medical-Surgical Nursing, College of Nursing, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Abdelhamid ElshabrawyBiostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt.
Sarah Assem IbrahimBiostatistics and Demography Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt.
Salah Al AwaidyHealth Affairs, Ministry of Health, Muscat, Oman.
Tareq Al-AhdalInstitute of Global Health (HIGH), Heidelberg University, Heidelberg, Germany.
Bijaya Kumar PadhiCommunity Medicine and School of Public Health Department, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Noha FadlFamily Health Department, High Institute of Public Health, Alexandria University, Alexandria, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Internal validation techniques alone do not guarantee the value of a model. This study aims to investigate the external validity of the Parental Attitude toward Childhood Vaccination (PACV) scale for assessing parents' attitude toward seasonal influenza vaccination. Methods: Using a snowball sampling approach, an anonymous online questionnaire was distributed in two languages (English and Arabic) across seven countries. To assess the internal validity of the model, the machine learning technique of "resampling methods" was used to repeatedly select various samples collected from Egypt and refit the model for each sample. The binary logistic regression model was used to identify the main determinants of parental intention to vaccinate their children against seasonal influenza. We adopted the original model developed and used its predictors to determine parents' intention to vaccinate their children in Libya, Lebanon, Syria, Iraq, Palestine, and Sudan. The area under the curve (AUC) indicated the model's ability to distinguish events from non-events. We visually compared the observed and predicted probabilities of parents' intention to vaccinate their children using a calibration plot. Results: A total of 430 parents were recruited from Egypt to internally validate the model, and responses from 2095 parents in the other six countries were used to externally validate the model. Multivariate regression analysis showed that the PACV score, child age (adolescence), and Coronavirus disease 2019 (COVID-19) vaccination in children were significantly associated with the intention to receive the vaccination. The AUC of the developed model was 0.845. Most of the predicted points were close to the diagonal line, demonstrating better calibration (the prediction error was 16.82%). The sensitivity and specificity of the externally validated model were 89.64 and 37.89%, respectively (AUC = 0.769). Conclusion: The PACV showed similar calibration and discrimination across the six countries. It is transportable and can be used to assess attitudes towards influenza vaccination among parents in different countries using either the Arabic or English version of the scale.

Indexed as

COVID-19Influenza, HumanAdolescentChildHumansIntentionParentsVaccinationcalibrationdiscriminationexternal validationparental attitude about childhood vaccinationseasonal influenza vaccine

Identifiers

PMID37261239
PMCPMC10228384

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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.