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Perez Ramirez A, Osorio AM, Lai S, James R, Ortega A, Canter KS. A scoping review of Spanish language pediatric digital health interventions. J Pediatr Psychol 2025:jsaf013. [PMID: 40096704 DOI: 10.1093/jpepsy/jsaf013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Revised: 02/11/2025] [Accepted: 02/11/2025] [Indexed: 03/19/2025] Open
Abstract
OBJECTIVE Despite the growing number of Hispanic/Latino families in the United States, major concerns are reported when navigating the healthcare system. Monolingual Spanish-speaking families may experience compounded barriers given the inconsistent availability of Spanish resources and services in traditional healthcare settings. Digital health interventions have the potential to alleviate some barriers in healthcare for these individuals. This scoping review summarizes the state of the literature on the development, adaptation, and implementation of pediatric Spanish-language digital health interventions offered to Spanish-speaking families in the United States to better understand current cultural-sensitivity practices and strategies implemented by researchers. METHODS A search in major databases was completed in May 2024. Articles that discussed the development, implementation, or outcome of any digital health intervention primarily oriented to a Spanish-speaking pediatric population in the United States were included. Telephone- and telehealth-only interventions were excluded. RESULTS A total of 44 articles were reviewed, representing 30 unique digital health interventions. Most covered preventive health topics, utilized SMS texting, and were intended primarily for parents/caregivers. Only 22 articles discussed specific methods to culturally tailor the intervention. The most common methods implemented were advisory boards and collecting qualitative data from parents/caregivers and youth. About 50% of articles reported results related to efficacy, acceptability, and feasibility. CONCLUSION While similar methods are implemented to develop and adapt these interventions, there is ample variation throughout the process. Including and learning directly from intended users in the adaptation and development phases of digital health interventions can help create quality and culturally appropriate digital health programs for families.
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Affiliation(s)
- Alejandra Perez Ramirez
- Center for Healthcare Delivery Science, Nemours Children's Health, Wilmington, DE, United States
| | - Angel Muñoz Osorio
- Center for Healthcare Delivery Science, Nemours Children's Health, Wilmington, DE, United States
| | - Samuel Lai
- Center for Healthcare Delivery Science, Nemours Children's Health, Wilmington, DE, United States
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, United States
| | - Richard James
- Library Services, Nemours Children's Health, Wilmington, DE, United States
| | - Adrian Ortega
- Department of Preventive Medicine, Center for Behavior Intervention Technologies, Northwestern University Feinberg School of Medicine, Evanston, IL, United States
| | - Kimberly S Canter
- Center for Healthcare Delivery Science, Nemours Children's Health, Wilmington, DE, United States
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Onigbogi O, Ojo OY, Kinnunen UM, Saranto K. Mobile health interventions on vaccination coverage among children under 5 years of age in Low and Middle-Income countries; a scoping review. Front Public Health 2025; 13:1392709. [PMID: 39935874 PMCID: PMC11810739 DOI: 10.3389/fpubh.2025.1392709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 01/10/2025] [Indexed: 02/13/2025] Open
Abstract
Objectives Increased mobile phone use in Low- and Middle-Income countries (LMIC) has led to suggestions that health interventions using mobile phones can help solve some health problems. Vaccination has been shown to be an effective means of improving health outcomes. However, vaccination coverage in many LMIC has been generally low. The aim of this study was to synthesize evidence concerning the context, mechanisms, and outcome elements of mobile health interventions in improving vaccination coverage among children under 5 years of age in LMIC. Methods A search conducted using PubMed, Web of Science, ScienceDirect, CINAHL, Embase, and the Cochrane library led to 27 studies included in the final analysis out of 357 identified articles. Results Twenty-one studies were from Africa, four from Asia and two studies were from Latin America and the Caribbean. Short Message Service (SMS) intervention was used exclusively in 21 studies while six studies used a combination of SMS and phone calls, and one intervention was based only on phone calls. Conclusion The results from most studies suggest an improved uptake of vaccination with mobile health interventions. However, there is a need for further research to quantify the impact of these interventions and determine the most effective strategies.
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Affiliation(s)
- Olanrewaju Onigbogi
- Department of Community Health and Primary Care, University of Lagos, Lagos, Nigeria
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
- Department of Family Medicine, Indiana University, Indianapolis, IN, United States
| | - Omobola Yetunde Ojo
- Department of Community Medicine and Primary Care, Federal Medical Center, Abeokuta, Nigeria
| | - Ulla-Mari Kinnunen
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Kaija Saranto
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
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Woolfork MN, Haire K, Farinu O, Ruffin J, Nelson JM, Coronado F, Silk BJ, Harris L, Walker C, Manns BJ. A health equity science approach to assessing drivers of COVID-19 vaccination coverage disparities over the course of the COVID-19 pandemic, United States, December 2020-December 2022. Vaccine 2024; 42 Suppl 3:126158. [PMID: 39095277 PMCID: PMC11602382 DOI: 10.1016/j.vaccine.2024.126158] [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: 09/08/2023] [Revised: 07/08/2024] [Accepted: 07/17/2024] [Indexed: 08/04/2024]
Abstract
INTRODUCTION Health equity science examines underlying social determinants, or drivers, of health inequities by building an evidence base to guide action across programs, public health surveillance, policy, and communications efforts. A Social Vulnerability Index (SVI) was utilized during the COVID-19 response to identify areas where inequities exist and support communities with vaccination. We set out to assess COVID-19 vaccination coverage by two SVI themes, Racial and Ethnicity Minority Status and Housing Type and Transportation to examine disparities. METHODS US county-level COVID-19 vaccine administration data among persons aged 5 years and older reported to the Centers for Disease Control and Prevention from December 14, 2020 to December 14, 2022, were analyzed. Counties were categorized 1) into tertiles (low, moderate, high) according to each SVI theme's level of vulnerability or 2) dichotomized by urban or rural classification. Primary series vaccination coverage per age group were assessed for SVI social factors by SVI theme tertiles or urbanicity. RESULTS Older adults aged 65 years and older had the highest vaccination coverage across all vulnerability factors compared with children aged 5-17 years and adults aged 18-64 years. Overall, children and adults had higher vaccination coverage in counties of high vulnerability. Greater vaccination coverage differences were observed by urbanicity as rural counties had some of the lowest vaccination coverage for children and adults. CONCLUSION COVID-19 vaccination efforts narrowed gaps in coverage for adults aged 65 years and older but larger vaccination coverage differences remained among younger populations. Moreover, greater disparities in coverage existed in rural counties. Health equity science approaches to analyses should extend beyond identifying differences by basic demographics such as race and ethnicity and include factors that provide context (housing, transportation, age, and geography) to assist with prioritization of vaccination efforts where true disparities in vaccination coverage exist.
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Affiliation(s)
- Makhabele Nolana Woolfork
- Office of the Director, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States.
| | - Kambria Haire
- Office of the Director, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States
| | - Oluyemi Farinu
- Office of the Director, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States; Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, United States
| | - Jasmine Ruffin
- Eagle Health Analytics, Inc., San Antonio, TX, United States; Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States
| | - Jennifer M Nelson
- Immunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States; Commissioned Corps of the United States Public Health Service, Rockville, MD, United States
| | - Fatima Coronado
- Division of Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, United States
| | - Benjamin J Silk
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States; Commissioned Corps of the United States Public Health Service, Rockville, MD, United States
| | - LaTreace Harris
- Immunization Services Division, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States
| | - Chastity Walker
- Office of the Director, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States
| | - Brian J Manns
- Office of the Director, National Center for Immunization and Respiratory Diseases, CDC, Atlanta, GA, United States
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Zhao T, Cai X, Zhang S, Wang M, Chen L, Wang J, Yu Y, Tao L, Xu X, Luo J, Wang C, Du J, Liu Y, Lu Q, Cui F. Differences in Vaccination Consultation Preferred by Primary Health Care Workers and Residents in Community Settings. Vaccines (Basel) 2024; 12:534. [PMID: 38793785 PMCID: PMC11126119 DOI: 10.3390/vaccines12050534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024] Open
Abstract
OBJECTIVE To evaluate the preference of primary HCWs and residents on vaccination consultation in community health services to provide evidence for vaccine hesitancy intervention strategies. METHODS A discrete choice model (DCM) was constructed to evaluate the preference difference between primary HCWs and residents on vaccination consultation in community health services in China during May-July 2022. RESULTS A total of 282 residents and 204 HCWs were enrolled in this study. The residents preferred consulting with an HCW-led approach (β = 2.168), with specialized content (β = 0.954), and accompanied by telephone follow-up (β = 1.552). In contrast, the HCWs preferred face-to-face consultation (β = 0.540) with an HCW-led approach (β = 0.458) and specialized content (β = 0.409), accompanied by telephone follow-up (β = 0.831). College residents and residents with underlying self-reported disease may be near-critically inclined to choose traditional consultation (an offline, face-to-face consultation with standardized content and more prolonged duration) rather than a new-media consulting group (an online consultation with specialized content within 5 min). Urban HCWs preferred long-term consultation groups (the resident-led offline consultation with follow-up lasting more than 5 min). In contrast, rural HCWs preferred efficient consultation (the HCW-led, short-duration, standardized offline consultation mode). CONCLUSION The selection preference for vaccine consultation reveals a gap between providers and demanders, with different groups exhibiting distinct preferences. Identifying these targeted gaps can help design more acceptable and efficient interventions, increasing their likelihood of success and leading to better resource allocation for policymakers to develop targeted vaccination policies.
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Affiliation(s)
- Tianshuo Zhao
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Xianming Cai
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Sihui Zhang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Mingting Wang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Linyi Chen
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Juan Wang
- Jiuzhaigou Center for Disease Control and Prevention, Ngawa 623099, China;
| | - Yajie Yu
- Yilan Center for Disease Control and Prevention, Harbin 154899, China
| | - Liandi Tao
- Longxi Center for Disease Control and Prevention, Longxi 748199, China
| | - Xiaoxia Xu
- Chengguan Center for Disease Control and Prevention, Lanzhou 730030, China;
| | - Jing Luo
- Suzhou Center for Disease Control and Prevention, Suzhou 234099, China
| | - Chao Wang
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Juan Du
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Yaqiong Liu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Qingbin Lu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing 100191, China
- Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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McCulloh RJ, Darden PM, Snowden J, Ounpraseuth S, Lee J, Clarke M, Newcomer SR, Fu L, Hubberd D, Baldner J, Garza M, Kerns E. Correction: Improving pediatric COVID-19 vaccine uptake using an mHealth tool (MoVeUp): study protocol for a randomized, controlled trial. Trials 2024; 25:111. [PMID: 38331823 PMCID: PMC10854149 DOI: 10.1186/s13063-024-07951-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024] Open
Affiliation(s)
- Russell J McCulloh
- Children's Hospital & Medical Center, 8200 Dodge St, Omaha, NE, 68114, USA.
| | - Paul M Darden
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Jessica Snowden
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Songthip Ounpraseuth
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Jeannette Lee
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Martina Clarke
- College of Information Science & Technology, University of Nebraska Omaha, 172 Peter Kiewit Institute, 1110 South 67Th Street, Omaha, NE, 68182, USA
| | - Sophia R Newcomer
- School of Public Health and Community Health Sciences, University of Montana, Skaggs Building Room 177, 32 Campus Drive, Missoula, MT, 59812, USA
| | - Linda Fu
- Ofce of the Director, National Institutes of Health, 11601 Landsdown Sreet, Rockville, MD, 20852, USA
| | - DeAnn Hubberd
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Jaime Baldner
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Maryam Garza
- University of Arkansas for Medical Sciences, 4301 West Markham, Little Rock, AR, 72205, USA
| | - Ellen Kerns
- University of Nebraska Medical Center, 42Nd and Emile St, Omaha, NE, 68131, USA
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