Cargando…
Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model
People living with HIV (PLHIV) are considered a high-risk population for developing a severe form of COVID-19. Vaccination is still one of the most important modalities in combating the disease due to the lack of an effective treatment. This multicenter study was performed from September to December...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962027/ https://www.ncbi.nlm.nih.gov/pubmed/36851176 http://dx.doi.org/10.3390/vaccines11020296 |
_version_ | 1784895901937958912 |
---|---|
author | Wicaksana, Bramantya Yunihastuti, Evy Shatri, Hamzah Pelupessy, Dicky C. Koesnoe, Sukamto Djauzi, Samsuridjal Mahdi, Haridana Indah Setiawati Waluyo, Dyah Agustina Djoerban, Zubairi Siddiq, Tommy Hariman |
author_facet | Wicaksana, Bramantya Yunihastuti, Evy Shatri, Hamzah Pelupessy, Dicky C. Koesnoe, Sukamto Djauzi, Samsuridjal Mahdi, Haridana Indah Setiawati Waluyo, Dyah Agustina Djoerban, Zubairi Siddiq, Tommy Hariman |
author_sort | Wicaksana, Bramantya |
collection | PubMed |
description | People living with HIV (PLHIV) are considered a high-risk population for developing a severe form of COVID-19. Vaccination is still one of the most important modalities in combating the disease due to the lack of an effective treatment. This multicenter study was performed from September to December 2021 with the aim to analyze the intention of PLHIV to receive the COVID-19 vaccination based on an integrated behavior model (IBM) in Indonesia. Of a total of 470 participants, 75.6% of patients were intent to be vaccinated. The model that was designed in this study explains 43.4% of the variance in intention to be vaccinated against COVID-19 in PLHIV (adjusted R(2) = 0.434). Furthermore, the determinants used included instrumental attitude (β = 0.127, p < 0.05), subjective norm (β = 0.497, p < 0.01), and perceived behavioral control (β = 0.116, p < 0.01). This study concluded that an IBM could predict the intention of PLHIV to receive COVID-19 vaccination. |
format | Online Article Text |
id | pubmed-9962027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99620272023-02-26 Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model Wicaksana, Bramantya Yunihastuti, Evy Shatri, Hamzah Pelupessy, Dicky C. Koesnoe, Sukamto Djauzi, Samsuridjal Mahdi, Haridana Indah Setiawati Waluyo, Dyah Agustina Djoerban, Zubairi Siddiq, Tommy Hariman Vaccines (Basel) Article People living with HIV (PLHIV) are considered a high-risk population for developing a severe form of COVID-19. Vaccination is still one of the most important modalities in combating the disease due to the lack of an effective treatment. This multicenter study was performed from September to December 2021 with the aim to analyze the intention of PLHIV to receive the COVID-19 vaccination based on an integrated behavior model (IBM) in Indonesia. Of a total of 470 participants, 75.6% of patients were intent to be vaccinated. The model that was designed in this study explains 43.4% of the variance in intention to be vaccinated against COVID-19 in PLHIV (adjusted R(2) = 0.434). Furthermore, the determinants used included instrumental attitude (β = 0.127, p < 0.05), subjective norm (β = 0.497, p < 0.01), and perceived behavioral control (β = 0.116, p < 0.01). This study concluded that an IBM could predict the intention of PLHIV to receive COVID-19 vaccination. MDPI 2023-01-29 /pmc/articles/PMC9962027/ /pubmed/36851176 http://dx.doi.org/10.3390/vaccines11020296 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wicaksana, Bramantya Yunihastuti, Evy Shatri, Hamzah Pelupessy, Dicky C. Koesnoe, Sukamto Djauzi, Samsuridjal Mahdi, Haridana Indah Setiawati Waluyo, Dyah Agustina Djoerban, Zubairi Siddiq, Tommy Hariman Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model |
title | Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model |
title_full | Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model |
title_fullStr | Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model |
title_full_unstemmed | Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model |
title_short | Predicting Intention to Receive COVID-19 Vaccination in People Living with HIV using an Integrated Behavior Model |
title_sort | predicting intention to receive covid-19 vaccination in people living with hiv using an integrated behavior model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962027/ https://www.ncbi.nlm.nih.gov/pubmed/36851176 http://dx.doi.org/10.3390/vaccines11020296 |
work_keys_str_mv | AT wicaksanabramantya predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT yunihastutievy predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT shatrihamzah predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT pelupessydickyc predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT koesnoesukamto predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT djauzisamsuridjal predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT mahdiharidanaindahsetiawati predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT waluyodyahagustina predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT djoerbanzubairi predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel AT siddiqtommyhariman predictingintentiontoreceivecovid19vaccinationinpeoplelivingwithhivusinganintegratedbehaviormodel |