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Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia
Understanding and addressing the concerns of vaccine-hesitant individuals, including those with chronic diseases, is key to increasing vaccine acceptance and uptake. However, in Ethiopia, there is limited evidence on the COVID-19 vaccine hesitancy and predictor variables among diabetic patients. Hen...
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Published in: | PloS one 2024-07, Vol.19 (7), p.e0305200 |
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description | Understanding and addressing the concerns of vaccine-hesitant individuals, including those with chronic diseases, is key to increasing vaccine acceptance and uptake. However, in Ethiopia, there is limited evidence on the COVID-19 vaccine hesitancy and predictor variables among diabetic patients. Hence, the study aimed to assess Covid-19 Vaccine Hesitancy and Predictor variables among Diabetic Patients on Follow-Up at Public Hospitals in Nekemte Town, Western Ethiopia.
Facility based cross sectional study was conducted among 422 diabetic patients attending public hospitals at Nekemte Town, Western Ethiopia between January, to February, 2023. Study participants were recruited by systematic random sampling. The data were collected interviewee administered pre-tested structured survey questioner. The collected data were entered and cleaned using Epi-Data software 4.6 version. The cleaned data were analyzed using SPSS. 25.0 Statical software. Descriptive statistics like frequency, mean and percentage, and binary logistic regression was applied to identify independent predictors of Covid-19 vaccine hesitancy and association between variables were declared at p-value of 0.05.
The overall magnitude of COVID-19 vaccine hesitancy was 15.2% (95% CI: 11.6-18.7). The top three listed reasons for the COVID-19 vaccine hesitancy were: negative information about the vaccine (32.90%), lack of enough information (21.80%), and vaccine safety concern (19.40%). The hesitancy of the COVID-19 vaccination uptake among diabetes patients was independently influenced by age between 40-49 (Adjusted Odd Ratio [AOR] = 4.52(1.04-19.66)), having vaccine awareness (AOR = 0.029(0.001-0.86)), having a great deal of trust on vaccine development (AOR = 0.028(0.002-0.52)), and a fear amount trust (AOR = 0.05(0.003-0.79)) on the vaccine preparation, vaccinated for COVID-19 (AOR = 0.13(0.04-0.51)), perceived exposure to COVID-19 infection after having the vaccine as strongly agree/agree (AOR = 0.03(0.01-0.17))and neither agree nor disagree (AOR = 0.07(0.02-0.30)).
COVID-19 vaccine hesitancy among diabetic patients was relatively low. The identified independent predictors were age, vaccine awareness, COVID-19 vaccination history, awareness on vaccine preparation and exposure status to COVID-19 infection. The relevant agency should focus on efforts to translating these high levels of vaccine acceptance into actual uptake, through targeting identifying predictor variables and vaccine availability fo |
doi_str_mv | 10.1371/journal.pone.0305200 |
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Facility based cross sectional study was conducted among 422 diabetic patients attending public hospitals at Nekemte Town, Western Ethiopia between January, to February, 2023. Study participants were recruited by systematic random sampling. The data were collected interviewee administered pre-tested structured survey questioner. The collected data were entered and cleaned using Epi-Data software 4.6 version. The cleaned data were analyzed using SPSS. 25.0 Statical software. Descriptive statistics like frequency, mean and percentage, and binary logistic regression was applied to identify independent predictors of Covid-19 vaccine hesitancy and association between variables were declared at p-value of 0.05.
The overall magnitude of COVID-19 vaccine hesitancy was 15.2% (95% CI: 11.6-18.7). The top three listed reasons for the COVID-19 vaccine hesitancy were: negative information about the vaccine (32.90%), lack of enough information (21.80%), and vaccine safety concern (19.40%). The hesitancy of the COVID-19 vaccination uptake among diabetes patients was independently influenced by age between 40-49 (Adjusted Odd Ratio [AOR] = 4.52(1.04-19.66)), having vaccine awareness (AOR = 0.029(0.001-0.86)), having a great deal of trust on vaccine development (AOR = 0.028(0.002-0.52)), and a fear amount trust (AOR = 0.05(0.003-0.79)) on the vaccine preparation, vaccinated for COVID-19 (AOR = 0.13(0.04-0.51)), perceived exposure to COVID-19 infection after having the vaccine as strongly agree/agree (AOR = 0.03(0.01-0.17))and neither agree nor disagree (AOR = 0.07(0.02-0.30)).
COVID-19 vaccine hesitancy among diabetic patients was relatively low. The identified independent predictors were age, vaccine awareness, COVID-19 vaccination history, awareness on vaccine preparation and exposure status to COVID-19 infection. The relevant agency should focus on efforts to translating these high levels of vaccine acceptance into actual uptake, through targeting identifying predictor variables and vaccine availability for a high-risk diabetes patient.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0305200</identifier><identifier>PMID: 38976683</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acceptance ; Adolescent ; Adult ; Aged ; Analysis ; Biology and Life Sciences ; Care and treatment ; Chronic diseases ; Conspiracy ; COVID-19 ; COVID-19 - prevention & control ; COVID-19 - psychology ; COVID-19 vaccines ; COVID-19 Vaccines - administration & dosage ; Cross-Sectional Studies ; Data collection ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - psychology ; Diabetics ; Disease transmission ; Ethics ; Ethiopia ; Female ; Health aspects ; Health facilities ; Hospitals ; Hospitals, Public ; Humans ; Immunization ; Infections ; Infectious diseases ; Male ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Middle Aged ; Mortality ; Pandemics ; Patients ; People and Places ; Public health ; Questionnaires ; Random sampling ; Regression analysis ; Sample size ; SARS-CoV-2 - immunology ; Social Sciences ; Software ; Statistical sampling ; Surveys and Questionnaires ; Vaccination ; Vaccination - psychology ; Vaccination Hesitancy - psychology ; Vaccination Hesitancy - statistics & numerical data ; Vaccine development ; Vaccines ; Variables ; Young Adult</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0305200</ispartof><rights>Copyright: © 2024 Olani Kuta, Dida. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Olani Kuta, Dida. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Olani Kuta, Dida 2024 Olani Kuta, Dida</rights><rights>2024 Olani Kuta, Dida. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-82e534c065db3ff991cac69ce1fb293c5977a16544dd292b282df483ca6e14fe3</cites><orcidid>0000-0002-9105-8122 ; 0009-0007-7047-4024</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3076978406/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3076978406?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38976683$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Daka, Dawit Wolde</contributor><creatorcontrib>Olani Kuta, Aberash</creatorcontrib><creatorcontrib>Dida, Nagasa</creatorcontrib><title>Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Understanding and addressing the concerns of vaccine-hesitant individuals, including those with chronic diseases, is key to increasing vaccine acceptance and uptake. However, in Ethiopia, there is limited evidence on the COVID-19 vaccine hesitancy and predictor variables among diabetic patients. Hence, the study aimed to assess Covid-19 Vaccine Hesitancy and Predictor variables among Diabetic Patients on Follow-Up at Public Hospitals in Nekemte Town, Western Ethiopia.
Facility based cross sectional study was conducted among 422 diabetic patients attending public hospitals at Nekemte Town, Western Ethiopia between January, to February, 2023. Study participants were recruited by systematic random sampling. The data were collected interviewee administered pre-tested structured survey questioner. The collected data were entered and cleaned using Epi-Data software 4.6 version. The cleaned data were analyzed using SPSS. 25.0 Statical software. Descriptive statistics like frequency, mean and percentage, and binary logistic regression was applied to identify independent predictors of Covid-19 vaccine hesitancy and association between variables were declared at p-value of 0.05.
The overall magnitude of COVID-19 vaccine hesitancy was 15.2% (95% CI: 11.6-18.7). The top three listed reasons for the COVID-19 vaccine hesitancy were: negative information about the vaccine (32.90%), lack of enough information (21.80%), and vaccine safety concern (19.40%). The hesitancy of the COVID-19 vaccination uptake among diabetes patients was independently influenced by age between 40-49 (Adjusted Odd Ratio [AOR] = 4.52(1.04-19.66)), having vaccine awareness (AOR = 0.029(0.001-0.86)), having a great deal of trust on vaccine development (AOR = 0.028(0.002-0.52)), and a fear amount trust (AOR = 0.05(0.003-0.79)) on the vaccine preparation, vaccinated for COVID-19 (AOR = 0.13(0.04-0.51)), perceived exposure to COVID-19 infection after having the vaccine as strongly agree/agree (AOR = 0.03(0.01-0.17))and neither agree nor disagree (AOR = 0.07(0.02-0.30)).
COVID-19 vaccine hesitancy among diabetic patients was relatively low. The identified independent predictors were age, vaccine awareness, COVID-19 vaccination history, awareness on vaccine preparation and exposure status to COVID-19 infection. The relevant agency should focus on efforts to translating these high levels of vaccine acceptance into actual uptake, through targeting identifying predictor variables and vaccine availability for a high-risk diabetes patient.</description><subject>Acceptance</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Chronic diseases</subject><subject>Conspiracy</subject><subject>COVID-19</subject><subject>COVID-19 - prevention & control</subject><subject>COVID-19 - psychology</subject><subject>COVID-19 vaccines</subject><subject>COVID-19 Vaccines - administration & dosage</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - psychology</subject><subject>Diabetics</subject><subject>Disease transmission</subject><subject>Ethics</subject><subject>Ethiopia</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health facilities</subject><subject>Hospitals</subject><subject>Hospitals, Public</subject><subject>Humans</subject><subject>Immunization</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Medicine, Experimental</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Pandemics</subject><subject>Patients</subject><subject>People and Places</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Random sampling</subject><subject>Regression analysis</subject><subject>Sample size</subject><subject>SARS-CoV-2 - immunology</subject><subject>Social Sciences</subject><subject>Software</subject><subject>Statistical sampling</subject><subject>Surveys and Questionnaires</subject><subject>Vaccination</subject><subject>Vaccination - psychology</subject><subject>Vaccination Hesitancy - psychology</subject><subject>Vaccination Hesitancy - statistics & numerical data</subject><subject>Vaccine development</subject><subject>Vaccines</subject><subject>Variables</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk8Fu1DAQhiMEoqXwBggsVUIgkcWOEyc5oWpVYKWKSlDgaDn2ZOOS2CF2tvQNeGy83bTaoB5QDo7sb_7x_J6JoucELwjNybtLOw5GtIveGlhgirME4wfRISlpErME04d7_wfRE-cuMc5owdjj6IAWZc5YQQ-jP0u70SomJdoIKbUB1IDTXhh5jYRRSHuH-gGUlt4ODonOmjVSWlTgtUS98BpMQKxBtW1bexWPPRIe9WPVhvPGuj6ItQ5pgz7DT-g8oAt7Zd6iH-A8DAad-kbbXoun0aM6gPBsWo-ibx9OL5af4rPzj6vlyVksszzxcZFARlOJWaYqWtdlSaSQrJRA6iopqczKPBeEZWmqVFImVVIkqk4LKgUDktZAj6KXO92-tY5PJjpOcc7KvEgxC8RqRygrLnk_6E4M19wKzW827LDmYgjVt8Apq_OywrKgWKQMVKUgZUmmaA2VKFMVtN5P2caqAyWDWYNoZ6LzE6MbvrYbTkgSnjTHQeH1pDDYX2MwjXfaSWhbYcCONxfPSZ6Gywf0-B_0_vImai1CBdrUNiSWW1F-UoQWCU3DtmkX91DhU9BpGVqu1mF_FvBmFhAYD7_9WozO8dXXL__Pnn-fs6_22AZE6xtn29Fra9wcTHegHKxzA9R3LhPMtxNz6wbfTgyfJiaEvdh_obug2xGhfwHnUxI_</recordid><startdate>20240708</startdate><enddate>20240708</enddate><creator>Olani Kuta, Aberash</creator><creator>Dida, Nagasa</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9105-8122</orcidid><orcidid>https://orcid.org/0009-0007-7047-4024</orcidid></search><sort><creationdate>20240708</creationdate><title>Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia</title><author>Olani Kuta, Aberash ; Dida, Nagasa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c572t-82e534c065db3ff991cac69ce1fb293c5977a16544dd292b282df483ca6e14fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acceptance</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Chronic diseases</topic><topic>Conspiracy</topic><topic>COVID-19</topic><topic>COVID-19 - prevention & control</topic><topic>COVID-19 - psychology</topic><topic>COVID-19 vaccines</topic><topic>COVID-19 Vaccines - administration & dosage</topic><topic>Cross-Sectional Studies</topic><topic>Data collection</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - psychology</topic><topic>Diabetics</topic><topic>Disease transmission</topic><topic>Ethics</topic><topic>Ethiopia</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health facilities</topic><topic>Hospitals</topic><topic>Hospitals, Public</topic><topic>Humans</topic><topic>Immunization</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Medicine, Experimental</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Pandemics</topic><topic>Patients</topic><topic>People and Places</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Random sampling</topic><topic>Regression analysis</topic><topic>Sample size</topic><topic>SARS-CoV-2 - immunology</topic><topic>Social Sciences</topic><topic>Software</topic><topic>Statistical sampling</topic><topic>Surveys and Questionnaires</topic><topic>Vaccination</topic><topic>Vaccination - psychology</topic><topic>Vaccination Hesitancy - psychology</topic><topic>Vaccination Hesitancy - statistics & numerical data</topic><topic>Vaccine development</topic><topic>Vaccines</topic><topic>Variables</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olani Kuta, Aberash</creatorcontrib><creatorcontrib>Dida, Nagasa</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>https://resources.nclive.org/materials</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olani Kuta, Aberash</au><au>Dida, Nagasa</au><au>Daka, Dawit Wolde</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-07-08</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0305200</spage><pages>e0305200-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Understanding and addressing the concerns of vaccine-hesitant individuals, including those with chronic diseases, is key to increasing vaccine acceptance and uptake. However, in Ethiopia, there is limited evidence on the COVID-19 vaccine hesitancy and predictor variables among diabetic patients. Hence, the study aimed to assess Covid-19 Vaccine Hesitancy and Predictor variables among Diabetic Patients on Follow-Up at Public Hospitals in Nekemte Town, Western Ethiopia.
Facility based cross sectional study was conducted among 422 diabetic patients attending public hospitals at Nekemte Town, Western Ethiopia between January, to February, 2023. Study participants were recruited by systematic random sampling. The data were collected interviewee administered pre-tested structured survey questioner. The collected data were entered and cleaned using Epi-Data software 4.6 version. The cleaned data were analyzed using SPSS. 25.0 Statical software. Descriptive statistics like frequency, mean and percentage, and binary logistic regression was applied to identify independent predictors of Covid-19 vaccine hesitancy and association between variables were declared at p-value of 0.05.
The overall magnitude of COVID-19 vaccine hesitancy was 15.2% (95% CI: 11.6-18.7). The top three listed reasons for the COVID-19 vaccine hesitancy were: negative information about the vaccine (32.90%), lack of enough information (21.80%), and vaccine safety concern (19.40%). The hesitancy of the COVID-19 vaccination uptake among diabetes patients was independently influenced by age between 40-49 (Adjusted Odd Ratio [AOR] = 4.52(1.04-19.66)), having vaccine awareness (AOR = 0.029(0.001-0.86)), having a great deal of trust on vaccine development (AOR = 0.028(0.002-0.52)), and a fear amount trust (AOR = 0.05(0.003-0.79)) on the vaccine preparation, vaccinated for COVID-19 (AOR = 0.13(0.04-0.51)), perceived exposure to COVID-19 infection after having the vaccine as strongly agree/agree (AOR = 0.03(0.01-0.17))and neither agree nor disagree (AOR = 0.07(0.02-0.30)).
COVID-19 vaccine hesitancy among diabetic patients was relatively low. The identified independent predictors were age, vaccine awareness, COVID-19 vaccination history, awareness on vaccine preparation and exposure status to COVID-19 infection. The relevant agency should focus on efforts to translating these high levels of vaccine acceptance into actual uptake, through targeting identifying predictor variables and vaccine availability for a high-risk diabetes patient.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38976683</pmid><doi>10.1371/journal.pone.0305200</doi><orcidid>https://orcid.org/0000-0002-9105-8122</orcidid><orcidid>https://orcid.org/0009-0007-7047-4024</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-07, Vol.19 (7), p.e0305200 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3076978406 |
source | Open Access: PubMed Central; ProQuest - Publicly Available Content Database; Coronavirus Research Database |
subjects | Acceptance Adolescent Adult Aged Analysis Biology and Life Sciences Care and treatment Chronic diseases Conspiracy COVID-19 COVID-19 - prevention & control COVID-19 - psychology COVID-19 vaccines COVID-19 Vaccines - administration & dosage Cross-Sectional Studies Data collection Diabetes Diabetes mellitus Diabetes Mellitus - psychology Diabetics Disease transmission Ethics Ethiopia Female Health aspects Health facilities Hospitals Hospitals, Public Humans Immunization Infections Infectious diseases Male Medical research Medicine and Health Sciences Medicine, Experimental Middle Aged Mortality Pandemics Patients People and Places Public health Questionnaires Random sampling Regression analysis Sample size SARS-CoV-2 - immunology Social Sciences Software Statistical sampling Surveys and Questionnaires Vaccination Vaccination - psychology Vaccination Hesitancy - psychology Vaccination Hesitancy - statistics & numerical data Vaccine development Vaccines Variables Young Adult |
title | Covid-19 vaccine hesitancy and its predictors among diabetic patients on follow-up at public hospitals in Nekemte Town, Western Ethiopia |
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