000 02947nam a22003737a 4500
999 _c12637
_d12637
001 M CFM 2023 0008
003 PILC
005 20240720153325.0
008 231005b xxu||||| |||| 00| 0 eng d
040 _beng
_cFEU-NRMF MEDICAL LIBRARY
_erda
041 _aenglish
050 _aM CFM 2023 0008
245 _aFactors affecting vaccine hesitancy toward COVID-19 vaccination among non-medical frontliners /
_cGen-Ghis Ramil O. Urtal, Charlene Pangaliban, Tresni Ann Pilapil, Michaela Prejoles, Rouen Lloyd Raymundo, Jan Henri Reyes and Joan Archy Serna.
260 _aFairview, Quezon City:
_bDepartment of Community and Family Medicine, FEU-NRMF,
_c2023.
300 _a33 pages:
_btables;
_c28 cm.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
504 _aInclude bibliographical references.
520 _aAbstract: This study focused on the factors affecting COVID-19 vaccine hesitancy among non-medical frontliners. Analytical study was employed to examine the relationships between factors such as sociodemographic, income, vaccine status, sources of information, and knowledge on vaccines on vaccine hesitancy. Fisher's Exact Test was used to determine the relationship between perceived effectiveness on COVID-19 vaccine and vaccine hesitancy (p-value = 0.000) which has a significant relationship, while pseudo R2 regression was used to determine the likelihood of being vaccine hesitant. Individuals who think that the COVID-19 vaccine was not effective were at most risk of being vaccine hesitant (POR = 1.67) compared to those who think that it is effective ('baseline', POR = 1.00). Other factors presented in the study such as age, sex, religion, education, occupation, vaccination status, booster shot, preferred vaccine, source of information, social media platform used, safety and knowledge about the vaccine showed no significance. Considering all the factors with no significance evaluated, the most at risk was the middle income respondents (POR = 1.06) and the least effective was those who preferred Johnson and Johnson as their preferred vaccine (POR = 0.89). In conclusion, vaccine hesitancy was not prevalent among non-medical frontliners. This could be attributed to the result of the government's efforts to combat the COVID-19 virus and promote vaccination against it. The time interval when the research was conducted and the peak of mass vaccination efforts must also be considered.
521 _aTHDCFM
650 _avaccine hesitancy
650 _aCOVID-19
650 _aSARS-CoV-2
650 _aCOVID-19 vaccine
700 _aUrtal, Gen-Ghis Ramil O.
_eauthor
700 _aPangaliban, Charlene
_eauthor
700 _aPilapil, Tresni Ann
_eauthor
700 _aPrejoles, Michaela
_eauthor
700 _aRaymundo, Rouen Lloyd
_eauthor
700 _aReyes, Jan Henri
_eauthor
700 _aSerna, Joan Archy
_eauthor
942 _2lcc
_cRU