| Literature DB >> 30932725 |
Vincenza Gianfredi1, Massimo Moretti2, Pier Luigi Lopalco3.
Abstract
Immunization is one of the most important public health interventions to contrast infectious disease; however, many people nowadays refuse vaccination. Vaccine hesitancy (VH) is due to several factors that influence the complex decision-making process. Information technology tools might play an important role in vaccination programs. In particular, immunization information systems (IISs) have the potential to improve performance of vaccination programs and to increase vaccine uptake. This review aimed to present IIS functionalities in order to counter VH. In detail, we analyzed the automatic reminder/recall system, the interoperability of the system, the decision support system, the web page interface and the possibility to record adverse events following immunization. IIS could concretely represent a valid instrument to increase vaccine confidence, especially trust in both health-care workers and decision makers. There are not enough trials aimed to evaluate the efficacy of IIS to counter VH. Further researches might focalize on this aspect.Entities:
Keywords: Immunization information system; automatic reminder; vaccine; vaccine confidence; vaccine hesitancy; vaccines refuser
Mesh:
Substances:
Year: 2019 PMID: 30932725 PMCID: PMC6930057 DOI: 10.1080/21645515.2019.1599675
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 3.452
Figure 1.Conceptual framework for the use of IIS to counter vaccine hesitancy, according to the 3C model.
Characteristics extracted from the included studies.
| Reference | Country | Name of IIS | Study aim | Main results |
|---|---|---|---|---|
| Chung[ | USA | North Carolina Immunization Registry | Evaluate the efficacy of registry-driven recall | VC was higher in intervention counties compared to the control |
| Clark[ | USA | Michigan IIS | Evaluate parental’ s experiences and preferences about reminder/recall | 56% of parents preferred to register their cell phone number and to receive call or text messages |
| Crawford[ | Australia | Australian Childhood Immunisation Register | Evaluate the effect of post card recall on VC | The post card recall did not increase significantly the VC |
| Custis[ | USA | WIZRD | Evaluate the effect of recall letter on VC | The recall letter did not increase significantly the VC |
| Dombkowski[ | USA | Michigan Care Improvement Registry | Assess feasibility for initiating a recall by private sector | The cost of recall intervention ranged between $0.05 and $6 per children |
| Dombkowski[ | USA | Michigan Care Improvement Registry | Evaluate the feasibility and effectiveness of recall during seasonal flu campaign | Recall group had a VC significantly higher compared to the control group |
| Dombkowski[ | USA | Michigan Care Improvement Registry | Assess the completeness of parent contact information | Adolescents had the lowest data completeness |
| Dombkowski[ | USA | Michigan Care Improvement Registry | Evaluate the effect of centralized recall strategies on children VC | Children 19 months old in the recall group had significantly higher immunization activity compared to children who did not receive a recall notification |
| Dombkowski[ | USA | Michigan Care Improvement Registry | Evaluate the effect of recall strategies for flu vaccination, among chronic children | The recall strategy increased significantly the VC among intervention group compared to control |
| Hofstetter[ | USA | New York State IIS | Determine the impact of text message on flu VC among unvaccinated children | Beneficial effect of educational plus interactive text message on VC |
| Kempe[ | USA | Colorado IIS | Compared population-based recall vs. practice-based recall | Population-based recall was more effective and cost-effective |
| Kempe[ | USA | Colorado IIS | Compared collaborative centralized vs. practice-based recall approaches | The centralized recall was more cost-effective compared to practice-based ($11.75 vs. $74.00 per child, and vaccination was performed in 19.2% vs. 9.8% of children) |
| Morris[ | USA | San Diego Immunization Registry | Compare 4 types of recall: postcard, text message, e-mail, phone call and nonintervention control group | The text message group had the highest VC |
| Saville[ | USA | Colorado IIS | Identify parents’ preferences on type of recall | The most preferred recall was mail, followed by telephone, e-mail and lastly messages |
| Stockwell[ | USA | New York Citywide Immunization Registry | Evaluate the effect of educational recall messages | Children and adolescents who received the recall had higher VC compared to control |
| Stockwell[ | USA | New York Citywide Immunization Registry | Evaluate the efficacy of two types of recall (paper mail plus text messages vs. paper mail) | Text-messaging platform integrated with the IIS was developed and users who received text messages had higher VC |
| Stockwell[ | USA | New York Citywide Immunization Registry | Evaluate the efficacy of recall on health record | The recall increased documentation of the reason for vaccine non-administration |
| Suh[ | USA | Computerized immunization registry in Denver Community Health Services | Estimate the effectiveness of automatic recalls | The intervention group had significantly higher VC for at least one vaccine and for all targeted vaccines |
| Allison[ | USA | Regional IIS | Evaluate the effectiveness of a reminder for flu seasonal vaccine in chronic patients | VC in chronic patients did not change during the study period. However, the VC in healthy children reduced |
| Brousseau[ | Canada | Vaccination registry VAXIN | Evaluate the impact of feedback to immunization providers | Provide feedback to vaccinators, promoted a changes in immunization providers’ habits |
| Crawford[ | Australia | Australian Childhood Immunisation Register | Evaluate the effectiveness of an audit findings feedback | Reminder improved vaccine delivery |
| Beard[ | Australia | Australian Childhood Immunisation Register | Evaluate the trend of vaccination objections | The objections recorded increased over the time. Children resident in low SES area had the higher rate of vaccination objections |
| Bernhardt[ | New Zealand | New Zealand National Immunisation Register | Explore association between vitamin K prophylaxis decline and low acceptance of vaccination | Refusing vitamin K prophylaxis was associated with low acceptance of vaccinations |
| Feemster[ | USA | Vaccines for Children program database | Identify characteristics of children who delay vaccination | Maternal characteristics and type of prenatal care visits were associated with vaccines delay |
| Feiring[ | Norway | Norwegian Immunisation Registry | Identify reasons to not accept HPV vaccination | Parental education and income were associated with HPV vaccine acceptance |
| Forbes[ | Australia | Australian Childhood Immunisation Register | Evaluate the vaccination uptake after immunization consultation among hesitant parents | 42% of hesitant parents accepted the vaccination after the consultation |
| Gold[ | USA | Oregon’s IIS | Evaluate timing of HPV vaccination | Age and ethnicity were associated with timely and completion of vaccination |
| Gowda[ | USA | Michigan Care Improvement Registry | Identify factors associated to vaccination acceptance | Age, provider type and childhood immunization history were factors associated with vaccination acceptance |
| Grant[ | New Zealand | New Zealand National Immunisation Register | Identify antenatal factors associated to vaccination acceptance | Addressing vaccine concerns during antenatal periods increases vaccination acceptance |
| Gupta[ | USA | Virginia’s Statewide IIS | Identify factors associated to vaccination acceptance | Access limitations, perception of low urgency and safety of vaccine were main factors |
| Hofstetter[ | USA | New York State Citywide IIS | Identify characteristics of children who performed vaccination in time | Missed opportunities and ethnicity were negatively associated with timeliness |
| Lin[ | China | China Information Management System for Immunization Programming | Identify factors associated with measles vaccination delay | Immigration, sex, low SES, had a history of delays in other vaccinations and had parents who did not believe in vaccinations importance were determinants of measles vaccination delay |
| MacDonald[ | Canada | Canadian Regional Immunization Registry | Identify reasons for partial immunization | Safety concern, lack of awareness and lack of trust in the health institutions were the most frequent reasons for partial immunizations |
| Martinez-Baz[ | Spain | Population-based vaccination registry | Analyze factors influencing continued adherence to flu vaccination | Number of physician visits per year, sex, age and major chronic condition were statistically associated with flu vaccination |
| Nadeau[ | USA | New York State IIS | Evaluation of trends in alternative schedule compliance | Alternative schedule was mainly adopted by children not up-to-date at age 9 months, with 2 extra vaccine visits compared to children following standard schedules |
| Riise[ | Norway | Norwegian Immunisation Registry SYSVAK | Identify characteristic of children delaying vaccinations | Be an immigrant children, vaccinations scheduled during summer and first dose of measles had the higher odds to delay vaccination |
| Robison[ | USA | Oregon ALERT IIS | Evaluation of trends in alternative schedule compliance | Alternative schedule was increasingly adopted during the study period |
| Schmitt[ | USA | Florida statewide immunization registry | Examine factors associated with HPV immunization timely completion | Women under Medicaid were less likely to complete the vaccination on time, as African-Americans, and aged 18–21 |
| Tan[ | USA | North Caroline Immunization Registry | Assess characteristic of girls in time with the HPV vaccination | Ethnicity and race, such as having received previous vaccine doses in time, were associated to receive HPV vaccine doses on time |
| Van Keulen[ | Netherlands | Dutch national immunization register Præventis | Evaluate the factors related to HPV vaccination acceptance | Social–psychological variables largely impacted on HPV vaccination acceptance |
| van Lier[ | Netherlands | Dutch national immunization register Præventis | Identify uptake vaccine determinants | Low VC was associated with had at least one parent born out of the Netherlands and low SES |
| Wagner[ | United Kingdom | CHIS | Monitoring vaccination coverage by ethnicity | Ethnicity but not deprivation was associated with VC. Practitioner not in practice in the CHIS decreased the odd to be vaccinated |
| Wei[ | USA | Vaccine Safety Datalink | Assess refusal status | Racial, education and income characteristics were associated with vaccinations refuse |
| Wilson[ | Canada | Immunization Records Information System | Evaluate the trend of nonmedical expectations | Religious/Conscientious exemptions increased over the study period |
| Wilson[ | Canada | Immunization Records Information System | Evaluate the trend of nonmedical expectations | Nonmedical exemptions increased over the period |
| Woestenberg[ | Netherlands | Dutch national immunization register Præventis | Estimate the timeliness vaccination among preterm infants | Urbanity, being vaccinated in hospital, ethnicity, gestational age and birth weight impact on vaccination timeliness |
| Berling[ | Australia | Australian Childhood Immunisation Register | Estimate missed opportunities in local ED | 35/95 cases were missed opportunities |
| Daley[ | USA | Regional IIS | Assess frequency of missed opportunities | Missed opportunities occurred approximately in 70% of all vaccine-eligible visits |
| Oltean[ | USA | Washington State IIS | Estimate missed opportunities for HPV | One-third of eligible unvaccinated girls and two of five eligible boys aged 11–17 y had at least one missed opportunity to receive HPV |
| Shingler[ | New Zealand | New Zealand National Immunisation Register | Evaluate the effectiveness of an audit of missed opportunities | The majority of children under immunized were vaccinated in hospital setting |
| Verani[ | USA | New York State IIS | Assess the prevalence of missed opportunities | Missed opportunities had occurred in 82.2% of all vaccine-eligible visits |
| Way[ | Australia | Australian Childhood Immunisation Register | Estimate the proportion of missed opportunities in ED | Half of the children overdue for immunization remained under immunized for more than 77 d in mean |
| Hosseini[ | Iran | Iran’s IIS | Simplify and encourage the use of decision system support within the IIS | Address interoperability within and between IISs |
| Rajamani[ | USA | Minnesota Immunization Information Connection | Evaluate the utilization of DSS for immunizations | 59% of queries identified a successful record |
| Stevens[ | USA | California Immunization Registry | Develop an integrated interface between IIS and EMR | The new interface was considered more comfortable and efficient by physicians |
| Swenson[ | USA | Regional IIS | Evaluate the effect of DSS on VC | DSS identified more patients increasing VC among adults |
| Ali[ | Australia | Australian Childhood Immunisation Register | Evaluate if visiting practices with low VC increase the immunization rate | The intervention increase the VC |
| Brotherton[ | Australia | Australian National HPV Vaccination Program Register | Evaluate the efficacy of a school-based approach | 70% of girls in this age group was fully vaccinated |
| Cates[ | USA | Sentinel IIS sites | Evaluate the effect of a social marketing intervention to increase HPV VC | VC increased by 34% |
| Clayton[ | USA | Michigan Care Improvement Registry | Evaluate the effect of immunization provider type | Public providers had lower odds of vaccinating children compared to private |
| Ernst[ | USA | Arizona State IIS | Evaluate the effect of new policy on HAV VC | Differences were found among the regions with different policies implemented |
| Feiring[ | Norway | Norwegian Immunisation Registry | Efficacy of selective immunization strategy | Selective vaccination reached lower rate of VC compared to universal program |
| Hull[ | Australia | Australian Childhood Immunisation Register | Evaluate the impact of introduction of new vaccine (rotavirus) | Timeliness of other vaccinations improve |
| Humiston[ | USA | New York State Citywide IIS | Evaluate the impact of SLV influenza programs | Intervention group had higher VC compared to control group |
| Isaac[ | Canada | Manitoba IIS | Evaluate the efficacy of home visiting programs on VC | VC increased among families enrolled in the home visiting program compared to controls |
| Kansagra[ | USA | New York State Citywide IIS | Evaluate the impact of SLV influenza programs to reach children never immunized against flu | SLV reach more children never immunized |
| Kharbanda[ | USA | New York State Citywide IIS | Evaluate VC changes after the introduction of school mandated immunization | VC increased during the study period |
| Melinkovich[ | USA | Computerized immunization registry in Denver Community Health Services | Evaluate VC after implementation of combined several types of activities | Financial incentives and shared strategy and policy increased VC |
| Moore[ | Australia | Australian Childhood Immunisation Register | Evaluate the effect of policy initiatives on VC | Proactive follow up of children, more sustain for immunization services and centralization of vaccine delivery service increased VC |
| Moss[ | USA | North Carolina Immunization Registry | Analyze organization aspects of clinics that impact on vaccination acceptance | Pediatrics clinics specializing in pediatry had higher VC for pediatrics vaccines but not for HPV, also vaccination documentation type impact on VC |
| Moss[ | USA | North Carolina Immunization Registry | Evaluate the efficacy of a brief intervention on HPV VC | The intervention (webinar) increased VC during the study period |
| Potter[ | USA | Michigan Care Improvement Registry | Evaluate the effect of new school rules and vaccine coadministration | The new policy was associated with high completion rate of the vaccines required |
| Rehn[ | Sweden | Swedish vaccination register SVEVAC | Evaluate the efficacy of implementation strategies | Counties offering vaccination in school had higher VC compared to counties without vaccination program in school |
| Simpson[ | USA | Arizona State IIS | Evaluate the VC changes after the school entry mandate | After the school entry mandate the VC increased |
| Sull[ | USA | New York State Citywide IIS | Estimate the effect of vaccine coadministration on VC | Age-specific VC increased |
| Suryadevara[ | USA | New York State IIS | Estimate the efficacy of multicomponent community-based interventions | VC increased after providing practical information about where, why and how to perform vaccinations |
| Teplow- Phipps [ | USA | New York State Citywide IIS | Identify factors associated with early uptake and completeness of immunization | Greater odds of early uptake were registered among publicly insured adolescents, while completion was higher in private hospital |
| Ward[ | Australia | Australian Childhood Immunisation Register | Evaluation of varicella vaccination program implementation | The introduction of public-funded vaccination increased VC in 24 months aged children, but not in adolescents |
| Alguacil-Ramos[ | Spain | Vaccination Information System | Estimate the incidence of AEFIs | An increased number of AEFIs were recorded after the switch from DTaP to Tdap |
| Arnheim-Dahlstrom[ | Sweden | Swedish vaccination register SVEVAC | Evaluate incidence of epileptic seizures after A/H1N1 vaccination | No association between epileptic seizures and flu vaccination |
| Baker[ | USA | Florida, Michigan, Minnesota, New York, Pennsylvania, Wisconsin and Virginia IIS | Merge data from different database to evaluate the efficacy of a post-licensure vaccine safety program (PRISM) | The PRISM was complete enough to guaranty a valid surveillance system |
| Bakken[ | Norway | Norwegian Immunisation Register | Estimate the risk of febrile seizure after flu infection or vaccination (A/H1N1) | The risk of febrile seizure was higher in both group |
| Buttery[ | Australia | Australian Childhood Immunisation Register | Evaluate the risk of intussusception after rotavirus vaccination | No significant increased risk of intussusception, but there was some evidence of higher risk following the first dose |
| Carlin[ | Australia | Australian Childhood Immunisation Register | Evaluate the risk of intussusception after rotavirus (Rotarix and RotaTeq) vaccination | Similar increased risk after both types of vaccine; however, the benefits were higher compared to the risk |
| Conlin[ | USA | The National Smallpox Vaccine in Pregnancy Registry | Evaluate the risk of pregnancy loss after inadvertently smallpox and/or anthrax vaccination | No risk after inadvertently smallpox and/or anthrax vaccination during pregnancy |
| De Wals[ | Canada | Meningococcal Vaccination Registry | Analyze mortality after meningococcal C vaccination | Mortality rate for all causes was higher in the control group |
| Dey[ | Australia | Australian Childhood Immunisation Register | Identify a proxy for an early-onset AEFIs | Representation to general practice, 48 h after immunization, is a good proxy of early-onset AEFIs |
| Gold[ | Australia | Australian Childhood Immunisation Register | Evaluate the association between MMR vaccination and febrile convulsion | Confirmation of association between MMR vaccination and febrile convulsion |
| Håberg[ | Norway | Norwegian Immunisation Register | Evaluate the risk of fetal death after flu vaccination during pregnancy | No association between flu vaccination in pregnancy and fetal death was associated. Fetal death was higher after flu infection in pregnancy |
| Heier[ | Norway | Norwegian Immunisation Register | Estimate the risk of narcolepsy after A/H1N1 vaccination | Risk of narcolepsy was higher in children 4–19 y old |
| Hu[ | China | Individual IIS | Describe the reported AEFIs | The majority of AEFIs recorded were nonserious events |
| Kiraly[ | Australia | Australian Childhood Immunisation Register | Estimate the risk of allergy after DTaP vaccination | No increased risk of atopy was found |
| Liang[ | China | National IIS’s National Adverse Event Following Immunization Surveillance System | Assess the post-marketing safety of flu vaccination | No patterns of AEFIs were identified |
| Liu[ | Canada | Alberta Immunization and Adverse Reaction to Immunization | Estimate the incidence of AEFIs and venous thromboembolism, after HPV vaccination | Incidence of AEFIs was within the expected rate |
| Lloyd-Johnsen[ | Australia | Australian Childhood Immunisation Register | Estimate the incidence of intussusception after rotavirus vaccination among patients admitted to the Royal Children’s Hospital | Intussusception after vaccination occurred in 27 patients admitted to the Royal Children’s Hospital |
| Macartney[ | Australia | Australian Childhood Immunisation Register | Evaluate the association between MMR and varicella vaccination and febrile convulsion | There was an association between MMR vaccination and febrile convulsion, but not for varicella vaccine |
| Persson[ | Sweden | Swedish vaccination register SVEVAC | Evaluate the risk of neurological and immune-related diseases after A/H1N1 vaccination | Increased risk of narcolepsy in subjects younger than 20 y old |
| Rouleau[ | Canada | Provincial Pandemic Influenza Vaccination Registry | Identify risk factors associated with anaphylaxis after flu pandemic vaccination | Women with acute respiratory infection or food allergy had higher risk of anaphylaxis |
| Rousseau[ | Canada | Québec BCG Vaccination Registry | Evaluate the association between BCG vaccine and diabetes | No association was found |
| Schurink-van[ | Netherlands | Dutch national immunization register Præventis | Estimate the risk of migraine after HPV vaccination | No association was found |
| Stehr-Green[ | New Zealand | New Zealand National Immunisation Register | Estimate the risk of bronchiolitis after meningococcal B vaccination | No association was found |
| Van Der Maas[ | Netherlands | Dutch national immunization register Præventis | Identify potential AEFIs after HPV vaccination | No severe AEFIs were found, neither venous thromboembolic events |
| Robison[ | USA | Oregon ALERT Immunization Information System | Produce more accurate VC rate among adolescents, weighting individual records by the length of time since last activity | Weighting individual records improved the fit of IIS data |
| Wilson[ | Canada | Immunization Records Information System | Assess mobile phone software as a tool to solve the issue of people’s mobility | Mobile technologies can empower individuals with their own health information |
| Charland[ | Canada | Montreal IIS | Identify barriers for under-immunization | Ethnic–religious barriers and socioeconomic barriers such us poverty, immigrant status, high residential density, material deprivation and high violent crime rates impacted on VC |
| Fu[ | USA | Washington, IIS | Evaluation of spatial accessibility and vaccination compliance | Having high level of access to pediatric vaccination providers is associated with high vaccination compliance |
| Hull[ | Australia | Australian Childhood Immunisation Register | Estimate the 7vPCV coverage in Aboriginal | VC vary significantly between the very remote areas and the accessible districts |
| Hull[ | Australia | Australian Childhood Immunisation Register | Evaluate factors associated with vaccination timeliness | Timeliness is negatively associated with age, remoteness and later doses of vaccine |
| Barbaro[ | Australia | National HPV Vaccination Program Register | Geographic distribution of HPV VC | VC in low SES areas was lower than in high SES areas |
| Brien[ | Canada | Immunization Records Information System | Geographic distribution of VC | VC in low SES areas was lower than in high SES areas |
| Eccles[ | Canada | Immunization Records Information System | Geospatial distribution of MMR vaccination | Clusters of high immunization rates in the center compared to low rate in south and north |
| Mueller[ | New Zealand | New Zealand National Immunisation Register | Identify geographical distribution and disparities in immunization uptake | Ethnicity, low SES, year of birth and geographic location were associated with low immunization |
| Teng[ | Haiti | Electronic immunization system developed ad hoc | Monitor the vaccination campaign after cholera outbreak in Haiti | Identification of geographical distribution of community coverage |
| Thompson[ | USA | Florida Department of Health IIS | Identify geographical distribution after the outbreak of measles | It was possible to map the percent of children with religious exemptions, children on track or overdue for each vaccine series and children with no recorded vaccine |
| Trogdon[ | USA | North Carolina Immunization Registry | Evaluate spatial patterns in HPV vaccination acceptance | Identification of underimmunized cluster that were low public-funded areas |
| Trogdon[ | USA | North Carolina Immunization Registry | Evaluate spatial patterns in flu vaccination acceptance | Underimmunized cluster were in low public-funded areas |
| Wagner[ | China | Shanghai Immunization Program Information System | Evaluate the effect of urbanity on VC | Disparities were higher in migrant population compared to locals, and it was higher in suburb areas |
HCW: Health-care worker; VH: vaccine hesitancy; IIS: immunization information system; AEFIs: adverse events following immunizations; HPV: human papilloma virus; VC: vaccination coverage; SES: socioeconomic status; ED: emergency department; EMR: electronic medical records; SLV: school-located vaccination; MMR: measles, mumps, rubella; HAV: hepatitis A virus; DSS: decision support systems; BCG: Bacillus Calmette–Guérin; WIZARD: web-based immunization registry database; CHIS: child health information systems.