Evidence map›Paper›PMID 38198495›Full record

ArticlePloS one2024

Understanding volunteerism among dental students and professionals to reach Saudi Arabia Vision 2030 goals.

Khalid Aboalshamat, Turki Alayyafi, Ghassan Elaiwa, Mishal Assayegh, Abdulmalk Alqaidi

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Khalid AboalshamatDental Public Health Division, Preventative Dentistry Department, Faculty of Dental Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID 0000-0001-5957-8681
Turki AlayyafiCollege of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia.
Ghassan ElaiwaCollege of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia.
Mishal AssayeghCollege of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia.
Abdulmalk AlqaidiCollege of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVolunteering can be defined as activities a person does for free to help another person or group. Saudi Vision 2030 has a target of one million volunteers from the country by 2030. The aim of this study was to find out the frequencies of the motives, barriers, and experiences of volunteering dental students and dentists in Saudi Arabia. MATERIALS AND

methodsIn this cross-sectional study, 655 dental students and dentists from 37 cities around Saudi Arabia answered a questionnaire of 59 questions derived from previous studies. The questionnaire was distributed through social media. SPSS software was used to analyze the data, with p-value of 0.05 as significant. Chi-square was used for analytical statistics.

resultsThe chance to learn in a health-related field (84.58%) was the most motivating factor to volunteer, and the least motivating factor was financial compensation (46.72%). Females had multiple significantly higher motives percentages than males (p<0.05). The most prominent barrier was time constraints (74.50%), while the least important barrier was parents/family disapproval (28.85%). Lack of transportation was a more significant (p<0.001) barrier for females than males. Of the respondents, 74.50% had previously participated in volunteer work. Among those, 98.36% volunteered in Saudi Arabia and 6.97% volunteered outside of Saudi Arabia. Also, 46.31% volunteered during the COVID-19 pandemic.

conclusionsA high percentage of dental students and dentists in Saudi Arabia engage in volunteer activities. Nevertheless, various impediments must be addressed to achieved the targeted key performance indicator of Saudi Arabia Vision 2030.

Indexed as

GoalsPandemicsCross-Sectional StudiesFemaleHumansMaleSaudi ArabiaStudents, DentalVolunteers

Identifiers

PMID38198495
PMCPMC10781196

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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.