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Robinson R, Nguyen E, Wright M, Holmes J, Oliphant C, Cleveland K, Nies MA. Factors contributing to vaccine hesitancy and reduced vaccine confidence in rural underserved populations. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS 2022; 9:416. [PMID: 36466708 PMCID: PMC9702767 DOI: 10.1057/s41599-022-01439-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 11/08/2022] [Indexed: 06/01/2023]
Abstract
Vaccination remains one of the most effective ways to limit the spread of infectious diseases, and reduce mortality and morbidity in rural areas. Waning public confidence in vaccines, especially the COVID-19 vaccine, remains a cause for concern. A number of individuals in the US and worldwide remain complacent, choosing not to be vaccinated and/or delay COVID-19 vaccination, resulting in suboptimal herd immunity. The primary goal of this study is to identify modifiable factors contributing to COVID-19 vaccine hesitancy among vaccine-eligible individuals with access to vaccines in two under-resourced rural states, Alaska and Idaho. This qualitative study used semi-structured interviews with providers and focus groups with community participants in Alaska and Idaho. A moderator's guide was used to facilitate interviews and focus groups conducted and recorded using Zoom and transcribed verbatim. Thematic, qualitative analysis was conducted using QDA Miner. Themes and subthemes that emerged were labeled, categorized, and compared to previously described determinants of general vaccine hesitancy: established contextual, individual and/or social influences, vaccine and vaccination-specific concerns. Themes (n = 9) and sub-themes (n = 51) identified during the qualitative analysis highlighted a factor's contributing to COVID-19 vaccine hesitancy and poor vaccine uptake. Relevant influenceable factors were grouped into three main categories: confidence, complacency, and convenience. Vaccines are effective public health interventions to promote health and prevent diseases in rural areas. Practical solutions to engage healthcare providers, researchers, vaccine advocates, vaccine manufacturers, and other partners in local communities are needed to increase public trust in immunization systems to achieve community immunity.
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Affiliation(s)
- Renee Robinson
- College of Pharmacy, Idaho State University, Anchorage, Meridian, and Pocatello, AK, ID USA
- College of Pharmacy, University of Alaska/Idaho State University, Anchorage, AK USA
| | - Elaine Nguyen
- College of Pharmacy, Idaho State University, Anchorage, Meridian, and Pocatello, AK, ID USA
| | - Melanie Wright
- College of Pharmacy, Idaho State University, Anchorage, Meridian, and Pocatello, AK, ID USA
| | - John Holmes
- College of Pharmacy, Idaho State University, Anchorage, Meridian, and Pocatello, AK, ID USA
- College of Health, School of Nursing, Idaho State University, Anchorage, AK USA
| | - Catherine Oliphant
- College of Pharmacy, Idaho State University, Anchorage, Meridian, and Pocatello, AK, ID USA
| | - Kevin Cleveland
- College of Pharmacy, Idaho State University, Anchorage, Meridian, and Pocatello, AK, ID USA
| | - Mary A. Nies
- College of Health, School of Nursing, Idaho State University, Anchorage, AK USA
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2
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Mangla S, Zohra Makkia FT, Pathak AK, Robinson R, Sultana N, Koonisetty KS, Karamehic-Muratovic A, Nguyen USD, Rodriguez-Morales AJ, Sanchez-Duque JA, Zamba PT, Aghamohammadi N, CS F, Haque U. COVID-19 Vaccine Hesitancy and Emerging Variants: Evidence from Six Countries. Behav Sci (Basel) 2021; 11:148. [PMID: 34821609 PMCID: PMC8614952 DOI: 10.3390/bs11110148] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 12/28/2022] Open
Abstract
As the world tries to cope with the devastating effects of the COVID-19 pandemic and emerging variants of the virus, COVID-19 vaccination has become an even more critical tool toward normalcy. The effectiveness of the vaccination program and specifically vaccine uptake and coverage, however, is a function of an individual's knowledge and individual opinion about the disease and available vaccines. This study investigated the knowledge, attitudes, and resulting community practice(s) associated with the new COVID-19 variants and vaccines in Bangladesh, Colombia, India, Malaysia, Zimbabwe, and the USA. A cross-sectional web-based Knowledge, Attitudes, and Practices (KAP) survey was administered to respondents living in six different countries using a structured and multi-item questionnaire. Survey questions were translated into English, Spanish, and Malay to accommodate the local language in each country. Associations between KAP and a range of explanatory variables were assessed using univariate and multiple logistic regression. A total of 781 responses were included in the final analysis. The Knowledge score mean was 24 (out of 46), Attitude score 28.9 (out of 55), and Practice score 7.3 (out of 11). Almost 65% of the respondents reported being knowledgeable about COVID-19 variants and vaccination, 55% reported a positive attitude toward available COVID-19 vaccines, and 85% reported engaging in practices that supported COVID-19 vaccination. From the multiple logistic models, we found post-graduate education (AOR = 1.83, 95% CI: 1.23-2.74) and an age range 45-54 years (AOR = 5.81, 95% CI: 2.30-14.69) to be significantly associated with reported COVID-19 knowledge. In addition, positive Attitude scores were associated with respondents living in Zimbabwe (AOR = 4.49, 95% CI: 2.04-9.90) and positive Practice scores were found to be associated with people from India (AOR = 3.68, 95% CI: 1.15-11.74) and high school education (AOR = 2.16, 95% CI: 1.07-4.38). This study contributes to the identification of socio-demographic factors associated with poor knowledge, attitudes, and practices relating to COVID-19 variants and vaccines. It presents an opportunity for collaboration with diverse communities to address COVID-19 misinformation and common sources of vaccine hesitancy (i.e., knowledge, attitudes, and practices).
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Affiliation(s)
- Sherry Mangla
- International Institute for Population Sciences, Mumbai 400088, Maharashtra, India;
| | - Fatima Tuz Zohra Makkia
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center, 1200 Pressler Street, Houston, TX 77030, USA;
| | - Ashok Kumar Pathak
- Department of Mathematics and Statistics, Central University of Punjab, Bathinda 151401, Punjab, India;
| | - Renee Robinson
- University of Alaska Anchorage/Idaho State University College of Pharmacy, 2533 Providence Drive, PSB 108B, Anchorage, AK 99508, USA;
| | - Nargis Sultana
- Office of Public Health Studies, Thompson School of Social Work and Public Health, University of Hawai’i at Mānoa, Honolulu, HI 96822, USA;
| | - Kranthi Swaroop Koonisetty
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76177, USA; (K.S.K.); (U.-S.D.T.N.); (P.T.Z.)
| | | | - Uyen-Sa D.T. Nguyen
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76177, USA; (K.S.K.); (U.-S.D.T.N.); (P.T.Z.)
| | - Alfonso J. Rodriguez-Morales
- Grupo de Investigación Biomedicina, Faculty of Medicine, Fundacion Universitaria Autonoma de las Américas, Pereira 660003, Colombia; or
- Department of Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima 15046, Peru
| | - Jorge A. Sanchez-Duque
- Grupo de Investigación Salud, Familia y Sociedad, Department of Social Medicine and Family Health, Faculty of Health Sciences, Universidad del Cauca, Popayán 660003, Colombia;
| | - Patrick T. Zamba
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76177, USA; (K.S.K.); (U.-S.D.T.N.); (P.T.Z.)
| | - Nasrin Aghamohammadi
- Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, University of Malaya Kuala Lumpur, Kula Lumpur 50603, Malaysia;
| | - Fong CS
- Institute for Advanced Studies, University of Malaya, Kuala Lumpur 50603, Malaysia;
| | - Ubydul Haque
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX 76177, USA; (K.S.K.); (U.-S.D.T.N.); (P.T.Z.)
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Reese TJ, Segall N, Del Fiol G, Tonna JE, Kawamoto K, Weir C, Wright MC. Iterative heuristic design of temporal graphic displays with clinical domain experts. J Clin Monit Comput 2021; 35:1119-1131. [PMID: 32743757 PMCID: PMC7854828 DOI: 10.1007/s10877-020-00571-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 07/23/2020] [Indexed: 10/23/2022]
Abstract
Conventional electronic health record information displays are not optimized for efficient information processing. Graphical displays that integrate patient information can improve information processing, especially in data-rich environments such as critical care. We propose an adaptable and reusable approach to patient information display with modular graphical components (widgets). We had two study objectives. First, reduce numerous widget prototype alternatives to preferred designs. Second, derive widget design feature recommendations. Using iterative human-centered design methods, we interviewed experts to hone design features of widgets displaying frequently measured data elements, e.g., heart rate, for acute care patient monitoring and real-time clinical decision-making. Participant responses to design queries were coded to calculate feature-set agreement, average prototype score, and prototype agreement. Two iterative interview cycles covering 64 design queries and 86 prototypes were needed to reach consensus on six feature sets. Interviewers agreed that line graphs with a smoothed or averaged trendline, 24-h timeframe, and gradient coloring for urgency were useful and informative features. Moreover, users agreed that widgets should include key functions: (1) adjustable reference ranges, (2) expandable timeframes, and (3) access to details on demand. Participants stated graphical widgets would be used to identify correlating patterns and compare abnormal measures across related data elements at a specific time. Combining theoretical principles and validated design methods was an effective and reproducible approach to designing widgets for healthcare displays. The findings suggest our widget design features and recommendations match critical care clinician expectations for graphical information display of continuous and frequently updated patient data.
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Affiliation(s)
- Thomas J Reese
- Department of Biomedical Informatics, University of Utah School of Medicine, 421 Wakara Way, Ste 140, Salt Lake City, UT, 84108-3514, USA.
| | - Noa Segall
- Department of Anesthesiology, Duke University School of Medicine, Durham, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah School of Medicine, 421 Wakara Way, Ste 140, Salt Lake City, UT, 84108-3514, USA
| | - Joseph E Tonna
- Divisions of Emergency Medicine and Cardiothoracic Surgery, University of Utah School of Medicine, Salt Lake City, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah School of Medicine, 421 Wakara Way, Ste 140, Salt Lake City, UT, 84108-3514, USA
| | - Charlene Weir
- Department of Biomedical Informatics, University of Utah School of Medicine, 421 Wakara Way, Ste 140, Salt Lake City, UT, 84108-3514, USA
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4
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Kawamoto K, Kukhareva PV, Weir C, Flynn MC, Nanjo CJ, Martin DK, Warner PB, Shields DE, Rodriguez-Loya S, Bradshaw RL, Cornia RC, Reese TJ, Kramer HS, Taft T, Curran RL, Morgan KL, Borbolla D, Hightower M, Turnbull WJ, Strong MB, Chapman WW, Gregory T, Stipelman CH, Shakib JH, Hess R, Boltax JP, Habboushe JP, Sakaguchi F, Turner KM, Narus SP, Tarumi S, Takeuchi W, Ban H, Wetter DW, Lam C, Caverly TJ, Fagerlin A, Norlin C, Malone DC, Kaphingst KA, Kohlmann WK, Brooke BS, Del Fiol G. Establishing a multidisciplinary initiative for interoperable electronic health record innovations at an academic medical center. JAMIA Open 2021; 4:ooab041. [PMID: 34345802 PMCID: PMC8325485 DOI: 10.1093/jamiaopen/ooab041] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 02/18/2021] [Accepted: 05/04/2021] [Indexed: 12/02/2022] Open
Abstract
Objective To establish an enterprise initiative for improving health and health care through interoperable electronic health record (EHR) innovations. Materials and Methods We developed a unifying mission and vision, established multidisciplinary governance, and formulated a strategic plan. Key elements of our strategy include establishing a world-class team; creating shared infrastructure to support individual innovations; developing and implementing innovations with high anticipated impact and a clear path to adoption; incorporating best practices such as the use of Fast Healthcare Interoperability Resources (FHIR) and related interoperability standards; and maximizing synergies across research and operations and with partner organizations. Results University of Utah Health launched the ReImagine EHR initiative in 2016. Supportive infrastructure developed by the initiative include various FHIR-related tooling and a systematic evaluation framework. More than 10 EHR-integrated digital innovations have been implemented to support preventive care, shared decision-making, chronic disease management, and acute clinical care. Initial evaluations of these innovations have demonstrated positive impact on user satisfaction, provider efficiency, and compliance with evidence-based guidelines. Return on investment has included improvements in care; over $35 million in external grant funding; commercial opportunities; and increased ability to adapt to a changing healthcare landscape. Discussion Key lessons learned include the value of investing in digital innovation initiatives leveraging FHIR; the importance of supportive infrastructure for accelerating innovation; and the critical role of user-centered design, implementation science, and evaluation. Conclusion EHR-integrated digital innovation initiatives can be key assets for enhancing the EHR user experience, improving patient care, and reducing provider burnout.
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Affiliation(s)
- Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Polina V Kukhareva
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Charlene Weir
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Michael C Flynn
- University of Utah Health, Salt Lake City, Utah, USA.,Community Physicians Group, University of Utah, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Claude J Nanjo
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Douglas K Martin
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Phillip B Warner
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - David E Shields
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Salvador Rodriguez-Loya
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Ryan C Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Thomas J Reese
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Heidi S Kramer
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Teresa Taft
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Rebecca L Curran
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,Department of Family & Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Keaton L Morgan
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA.,Department of Surgery, University of Utah, Salt Lake City, Utah, USA
| | - Damian Borbolla
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Maia Hightower
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | | | - Michael B Strong
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Wendy W Chapman
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | | | - Carole H Stipelman
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Julie H Shakib
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Rachel Hess
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.,Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Jonathan P Boltax
- Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Joseph P Habboushe
- MD Aware, LLC, New York, New York, USA.,Department of Emergency Medicine, New York University, New York, New York, USA
| | - Farrant Sakaguchi
- University of Utah Health, Salt Lake City, Utah, USA.,Community Physicians Group, University of Utah, Salt Lake City, Utah, USA.,Department of Family & Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Kyle M Turner
- University of Utah Health, Salt Lake City, Utah, USA.,Community Physicians Group, University of Utah, Salt Lake City, Utah, USA.,Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, Utah, USA
| | - Scott P Narus
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,Intermountain Healthcare, Murray, Utah, USA
| | - Shinji Tarumi
- Research & Development Group, Hitachi, Ltd, Tokyo, Japan
| | | | - Hideyuki Ban
- Research & Development Group, Hitachi, Ltd, Tokyo, Japan
| | - David W Wetter
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Cho Lam
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Tanner J Caverly
- VA Center for Clinical Management Research, Ann Arbor, Michigan, USA.,Departments of Learning Health Sciences and Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.,VA Center for Informatics Decision Enhancement and Surveillance (IDEAS), Salt Lake City, Utah, USA
| | - Chuck Norlin
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Daniel C Malone
- Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, Utah, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Wendy K Kohlmann
- University of Utah Health, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Benjamin S Brooke
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,Department of Surgery, University of Utah, Salt Lake City, Utah, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
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