Evidence map›Paper›PMID 35246072›Full record

ArticleBMC infectious diseases2022

Investigating the intention to receive the COVID-19 vaccination in Macao: implications for vaccination strategies.

Carolina Oi Lam Ung, Yuanjia Hu, Hao Hu, Ying Bian

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 23 citations in OpenAlex.

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  14. Feelings of Polish and Palestinian Students after Receiving Vaccinations against COVID-19.International journal of environmental research and public health · 2022
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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

4 authors at 1 institution in 1 country.

Carolina Oi Lam UngState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Room 2058, N22 Research Building, Macao SAR, China.
Yuanjia HuState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Room 2058, N22 Research Building, Macao SAR, China.
Hao HuState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Room 2058, N22 Research Building, Macao SAR, China.
Ying BianState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Room 2058, N22 Research Building, Macao SAR, China. bianying@um.edu.mo.
University of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the intention of receiving COVID-19 vaccines is important to inform effective vaccination strategies. This study aimed to investigate such intention, identify the key influencing factors, and determine the most important intention predictors using a theoretically principled model.

methodsAn online, cross-sectional survey method was implemented in Macao in May 2021. People aged 18 years or above and residing in Macao for 12 months prior to the study were recruited through social media. Intention to receive COVID-19 vaccines and the main constructs of the protection motivation theory and the health belief model were the main measures encompassing threat appraisal, intrapersonal characteristics, cues to action, coping appraisal, past experiences and information seeking behavior. Descriptive statistics, Pearson correlation and multiple linear regression were used for data analysis.

resultsA total of 552 valid responses were received. Among the respondents, 79.5% aged between 25 and 54 years old, 59.4% were female, and 88% had a bachelor degree or above; 62.3% of the respondents indicated their intention to receive COVID-19 vaccination while 19.2% were hesitant and 18.5% did not have any intention. While 67.0% believed COVID-19 infection was life-threatening, only 19.0% thought they were at risk of getting infected. Control variables such as age, gender, education level, and having travel plans were significantly correlated with intention. Significant associations between intention with perceived severity, perceived susceptibility, maladaptive response reward, self-efficacy, response-efficacy, response cost, social attitude, social norm, past experience and information seeking behavior were identified (P < 0.05). The most important positive predictors of intention were "being able to make arrangement to receive the vaccine" (β = 0.333, P < 0.001), "a sense of social responsibility" (β = 0.326, P < 0.001), and "time off from work after vaccination" (β = 0.169, P < 0.001), whereas "concerns over vaccine safety" (β = - 0.124, P < 0.001) and "relying on online resources for vaccine information" (β = - 0.065, P < 0.05) were negative predictors. Perceived severity in terms of COVID-19 being a life threatening illness was not a predictor of intention.

conclusionThis study reaffirmed that intention to receive COVID-19 vaccination is an ongoing concern in the combat of the pandemic. Multi-component strategies to enhance health literacy that supports well-informed decision-making, increase vaccination convenience, promote social responsibility, and provide time-off incentives are among the key considerations in designing and improve vaccination campaigns in Macao.

Indexed as

COVID-19COVID-19 VaccinesAdultCross-Sectional StudiesFemaleHumansIntentionMacauMiddle AgedSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19IntentionSocial responsibilityStrategyVaccination

Identifiers

PMID35246072
PMCPMC8894128
OpenAlexW4220931411

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.