Abstract
Vaccination coverage is still below the Healthy People 2010 and 2020 goals. Technology use in the US is widespread by patients and providers including text message, email, internet, social media and electronic health records. Health information technology (IT) interventions can facilitate the rapid or real-time identification of children in need of vaccination and provide the foundation for vaccine-oriented parental communication or clinical alerts in a flexible and tailored manner. There has been a small but burgeoning field of work integrating IT into vaccination interventions including reminder/recall using non-traditional methods, clinical decision support for providers in the electronic health record, use of technology to affect work-flow and the use of social media. The aim of this review is to introduce and present current data regarding the effectiveness of a range of technology tools to promote vaccination, describe gaps in the literature and offer insights into future directions for research and intervention.
Keywords: SMS, clinical decision support, mHealth, technology, vaccine, web 2.0
Introduction
Technology, ever present in society, offers new and emerging methods to improve vaccination coverage. Because of its prevalence and flexibility, technology provides promising tools to address vaccination barriers for families, health care providers and the broader community. This review documents levels and types of technology use in the general US population, as well as current vaccination coverage; it explores common barriers to vaccination and describes how technology has been increasingly implemented to overcome these hurdles. The aim of this review is to introduce and present current data regarding the effectiveness of a range of technology tools to promote vaccination, describe gaps in the literature and offer insights into future directions for research and intervention.
Technology Use in the United States
Technology use in the US is widespread. Most (87%) adults in the US have a cell phone and that rate may be higher in low-income populations.1 In fact, the current wireless penetration is 102% of the US population, signifying that there are more cell phones than people.2 It is also estimated that 35.8% of households are currently wireless-only and no longer have a landline.2 Leveraging the use of these cell phones, text messaging has become ubiquitous. More than 70% of all cell phone owners and 90% of those 18–29 y of age, the age of many new parents, send text messages.3 The intensity of text messaging among these younger adults is also particularly high, with those 18–29 y olds sending and receiving a mean of nearly 90 texts per day. These patterns of text message use create an ideal platform for targeted, health-related communication.
The growth of cellular phone use and texting is paralleled by the widespread use of the internet, social media and email. According to data from the Pew Internet and American Life Project, 75% of adults and 95% of adolescents now have internet access. Two-thirds of online adults and 89% of online young adults use social media to connect with others.4,5 Email also remains popular. Most (92%) adult internet users use email with 61% accessing email on a typical day.5 This prevalent use of email, internet and social media creates other promising routes for health communication.
In addition to consumer’s use of technology, healthcare providers are being incentivized to integrate technology into their practice. The Health Information Technology for Economic and Clinical Health (HITECH) Act, part of the American Reinvestment and Recovery Act of 2009, included monetary incentives tied to “meaningful” use of electronic health records (EHRs).
At least partially as a result, the number of healthcare providers using EHRs is increasing. According to the 2011 Physician Workflow study, 54% of physicians had adopted an EHR system, with 76% reporting that their system met these federal “meaningful use” criteria.6 The number of adopters among primary care providers was slightly higher at 58%. In the 2012 National Ambulatory Medical Care Survey (NAMCS), 72% of office-based physicians had adopted an EHR system.7 However, there is some evidence that pediatric adoption of EHRs use lags behind general adoption in medicine.8 Of note, the public has also demonstrated a small but increasing interest in the use of personal electronic health records to manage their own and their families’ health.9-11
The presence of EHR use and the resulting ability to have vaccination data in electronic form provides an important foundation for delivering information technology (IT) based vaccine interventions. The capture of vaccine data in electronic form is also supported by a growing number of immunization information systems (IIS) or immunization registries. An IIS is a population-based system that collects and centralizes vaccination data for children and adolescents from vaccination providers at a regional or state level, integrating vaccination administration for any given child across all the sources where they may receive vaccination. As of 2011, 50 states, five cities and the District of Columbia all had an IIS.12 This centralization is especially important for populations, such as those with low-income, that may be more mobile or see multiple providers, leading to fragmented vaccination records.13-16 In addition to collecting vaccination information, some IIS such as New York City’s Citywide Immunization Registry (CIR) have mechanisms in place to provide vaccination information back to the clinician’s EHR, allowing more complete vaccination information to be available at the point of care. Since vaccination-specific criteria related to communicating with an IIS are included in the first two stages of EHR meaningful use incentives, and are currently under consideration for the third,17 this transfer of vaccination information between these systems and EHRs should only increase over time.18
Current Vaccination Coverage
This widespread of use of technology provides an ideal platform to help in the delivery of vaccines, one of the most important public-health interventions.19 Despite great strides in improving vaccination coverage in children, according to the latest National Immunization Survey, only 68.5% of young children 19–35 months old have completed their primary immunization series, which includes vaccination against diphtheria, polio, measles, hepatitis B, hemophilus influenza B, varicella and pneumococcal disease.20 This falls short of the Healthy People 2010 and 2020 goals of 80% coverage,21 and leaves nearly one third of US children incompletely protected against these vaccine-preventable diseases. Coverage for the more recently introduced adolescent immunization schedule has surpassed that of young children for vaccination against pertussis [tetanus-diphtheria-acellular pertussis (Tdap) (78.2% coverage)], and against meningococcal disease (70.5%). However, much more limited success has been seen with vaccination against human papilloma virus new (HPV).22 In the latest National Immunization Survey-Teen only half (53%) of female adolescents 13–17 y old initiated the series and only 34.8% received the 3 doses needed for full protection. Finally, for seasonal vaccinations such as influenza, national coverage remains low with only 49.4% of children and adolescents over 6 mo of age receiving the vaccine by the end of March in the 2011–12 season.23 At the same time, the United States has experienced a re-emergence of many vaccine preventable diseases including pertussis, haemophilus influenza Type B and measles; some associated with low vaccination coverage.24-26 Influenza remains a persistent threat as evidenced by the 2009 H1N1 pandemic as well as seasonal influenza outbreaks, including the recent 2012–13 epidemic. Disparities also still exist in vaccination coverage that need to be addressed. For example, young children living in poverty have lower completion rates for their primary vaccination series20 and Latina and African-American adolescent girls have poorer completion rates for the HPV vaccine.22
Factors Affecting Vaccination: Natural Targets for Technology-Based Interventions
Many factors that lead to undervaccination at the parent, provider, system and community level could potentially be addressed by technology. In order for a child to be vaccinated, the family needs to know that their child is at risk for a vaccine-preventable disease, that their child is need of the vaccination, to believe that the vaccine is safe and effective, to know where to go to be vaccinated, and to remember to come in for the vaccination. When families visit a health care provider, the provider needs to take advantage of the opportunity for vaccination as well as feel they are able to adequately provide information regarding the vaccine to answer questions and address concerns.27,28 On a systems level, processes including workflows and vaccine supply chains need to be effectively and consistently implemented. Finally, community support for vaccination may be helpful to provide evidence-based, positive-vaccine messages.
Clinicians and families have varied vaccine informational needs, making the flexibility of Health IT approaches particularly beneficial. For example, information needs of parents making vaccine decisions about a new vaccine, such as when the varicella vaccine was added to the routine vaccination schedule in 1996,29 may differ from those for a vaccine that has been licensed for a number of years. Vaccine changes, such as moving from 7-valent to 13-valent pneumococcal conjugate vaccine, also require distinct messages.30 Even within the same vaccine, information needs may differ. For example, influenza vaccination notifications may need to be tailored for those at particularly high risk for influenza morbidity, such as children with asthma, vs. other groups.31
The rapidly evolving, lengthy, and heavily footnoted schedule can also pose a barrier to health care providers. For example, over a relatively short period of time, influenza vaccination recommendations evolved from specific groups to universal coverage,32,33 which in the transition years could have led to confusion. Similarly, providers who are focused on providing adolescent vaccinations just at the 11–12 y visit may have more difficulty remembering to provide an additional dose of the meningitis vaccine for adolescents at 15 y since that booster dose was more recently introduced. Providers may also be at risk of missing opportunities to vaccinate children with medical conditions that require targeted vaccination beyond the ones recommended for the general population such as the pneumococcal polysaccharide vaccine. On a system level, tracking and documenting the large number of vaccines that are routinely provided at an individual visit can be overwhelming. Using a Health IT approach, much of the adaptation needed for each of these scenarios can occur “behind-the-scenes” by a software system rather than through more costly and time-intensive human effort.
Certain populations at high risk for undervaccination may also need specific consideration when designing interventions. For example, families with low health literacy have been shown to have distinct vaccine education needs.34-38 Meeting the needs of this group is particularly important since 90 million Americans have low health literacy39 with minority and low-income populations at greatest risk.40 Vaccine interventions in this group ideally should avoid or simplify written materials, two objectives facilitated through the use of health information technology. Additionally, use of IT interventions may be particularly helpful for populations at risk for undervaccination for whom traditional methods have not been effective. For example, although reminder/recall are widely recommended and utilized, they have been less successful in low-income and adolescent populations than using traditional methods such as paper mailing or phone reminders, often due to changing contact information.41-45 Interestingly, research has demonstrated that those who use smart phones rather than computers to access the internet are more likely to interact with technology as opposed to simply consuming information; this interaction may increase the impact of interventions.46 Traditionally underserved groups such as African Americans and Latinos are especially likely to access the internet through smart phones.47 Therefore they may potentially benefit most from health interventions that use the internet and social media in an interactive fashion.
Technology-Based Interventions to Improve Vaccination
IT in health care has already begun to demonstrate great potential to transform how vaccine delivery is supported and to substantially improve vaccination coverage in the United States. Using immunization data in electronic form, it facilitates the rapid or real-time identification of children in need of vaccination on a much larger scale than individual chart review, and then provides the foundation for vaccine-oriented parental communication or clinical alerts in a flexible and tailored manner. There has been a small but burgeoning field of work integrating IT into vaccination interventions targeting the family or individual child, the health care provider, system or the community. These include reminder/recall using non-traditional methods, clinical decision support for providers in the electronic health record, use of technology to affect work-flow, and the use of social media.
Parent-focused interventions: Reminder/recall interventions: Interactive voice response, text message and email
One of the most commonly utilized interventions for communicating with families about vaccinations is the use of reminder/recall. Reminder/recall interventions notify parents that their child will soon need a vaccination or recall them for overdue vaccinations. They are widely recommended by the US Task Force on Community Preventive Services28 as well as numerous organizations including the American Academy of Pediatrics, Society for Adolescent Health and Medicine and the National Vaccine Advisory Committee.48-50 Traditionally, reminder/recall interventions use mail or telephone.
Substantially extending the capabilities of typical phone reminders, interactive voice response (IVR) systems allow for phone conversations between the family at home and a computer-generated human voice. Families at home respond to the system with their keypad or by speaking, and clinicians may be alerted for concerning responses. The system can be programmed to tailor conversations to the needs of particular families and to provide a program of phone calls addressing a range of health issues over time. However, although this technology has begun to be explored in obesity and asthma,51-53 IVR has not been widely implemented in order to promote vaccination.
Two newer reminder/recall methods are the use of text messages and email. These approaches seek to address the problem that traditional reminder/recall have been less effective in low-income and adolescent populations, for whom vaccine disparities may exist.41-45 An important aspect of these novel forms of reminder/recall is the scalability and ability to reach large populations at little additional cost. Text messages costs only a few cents or less and email is often free. The use of traditional methods on a large scale can also be personnel intensive in the case of letters and telephone calls. While autodialers allow scalability,54,55 they may be seen as impersonal. With immunization and patient data already in an electronic form in electronic health records or IIS, technology-driven reminders including texts and email messages become easy to send. Such approaches are also becoming more widely available. Some electronic health records now offer text message reminders,56 and vendors that have offered more traditional forms of reminder/recall now offer text messaging and email.57
Text messages
There are a number of reasons text messages potentially make effective vaccination reminders. Parents have reported that they attract their attention in a different way than a letter reminder.58 They also reach the intended participant as opposed to a letter, which anyone in the household might open, or an automated telephone reminder, which will play for whomever answers the phone or picks up the answering machine message. Text messages also remain on a person’s cellular phone, which is often with them, allowing potentially important reference information, such as influenza vaccine walk-in hours at a clinic, to be easily accessible. They also allow messages to be tailored based on factors such as age group, gender or chronic medical condition. This tailoring of information is important since different groups need different vaccines and even those requiring the same vaccine may have different vaccination needs; for example, some young children need two doses of influenza vaccine in a given season while others need just one.59
There are some potential limitations to text messages. First is their restriction to not more than 160 characters (less for some carriers) constraining the amount of information that can be included. However, the character limit forces the messages to be simple and brief which is useful in a population with low literacy or health literacy. Changes in contact information are another potential obstacle to successfully using text messages. While for low-income and adolescent populations the stability of traditional forms of contact information has been problematic,41,43 at least in the short term, cellular telephone numbers appear to be a more stable than home addresses or telephone numbers.60 This instability of traditional forms of contact information may affect other populations as well; a recent reminder/recall study using letter reminders conducted in a pediatric, primarily rural or frontier, population in Montana using their state immunization information system was unsuccessful, thought perhaps to be in part due to unsuccessful delivery of letters.61 Finally, cost has been raised as an issue, but many families, especially those with low-income, have unlimited text messages, perhaps mitigating the impact of cost on the success of these interventions.57,58,60,62 The effects of costs particularly from the perspective of health care systems have not been studied, but vendors that have used traditional methods for reminder/recall now also offer text message reminders, so practices that already employ reminder-recall may incur similar costs.57,62
Although text messaging has been used sparsely for non-vaccination-related interventions in the pediatric and adolescent population, use has generally proven effective. Recent review of these interventions found significant effects of text messaging in 71% of the studies.63 Their success in the adult population for non-vaccination related interventions has been mixed. They have been successfully used to promote medication adherence for contraception as well as HIV and smoking cessation treatment, but have been more limited in their effects on changing other health behaviors or improving self-management of chronic diseases.64 However, the one field where text messaging so far has been successful in both pediatric and adult populations is vaccination reminder/recall.
The first iteration of text messages were conventional text message reminder/recall that, like traditional phone reminders, notified a patient for their family that their child was in need of vaccination. We successfully employed the use of these conventional text message reminder/recall to improve receipt of adolescent vaccinations including return for subsequent HPV vaccine doses,65 as well as receipt of vaccination against meningitis and pertussis.66 They have also been successfully used in an adult travel clinic to promote return for needed hepatitis doses,67 as well as for receipt of the primary childhood vaccination series, although the sample size in that pilot study was too small to achieve statistical significance despite large differences between groups.68
While acting as a notification, these conventional text message reminders do not address other vaccine education needs. Although space is limited, text messages can also provide educational information to families that may help them make the decision to bring their child or adolescent in for vaccination. These may be particularly important in populations with low vaccine health literacy who may be at particular risk of undervaccination. In a large randomized controlled trial of over 9000 low-income, urban children, we demonstrated the effectiveness of embedding health literacy promoting information into influenza vaccine text message reminders notifying families of special Saturday influenza vaccine clinics.69 These were based on the most common factors affecting vaccination decisions reported by parents in previous studies. While the differences seen in these text message reminders were modest, they are in line with what has been noted in other reminder/recall studies. Further, these findings are important because the intervention was directed on a large scale at a low-income, minority population at high risk for incomplete vaccination; for vaccinations like influenza that must be delivered to large populations, small differences can have a large public health impact.70
Parents appear to be interested in text message reminders. In focus groups of parents of adolescents, we found that many of them preferred them to mail or phone reminders.58 In a study of low-income parents in Kansas, 90% of those surveyed were open to text messages from their doctor or nurse;71 we found similar rates in a group of low-income families in New York City.62 In a national study, 56% of the 1612 parents surveyed were willing to register their cell number with their child's usual vaccination provider, and another 18% were undecided.60 Parents prefer text messages that are simple, short and personalized and include provider information58,62,72 Although to date text message interventions have focused on parents, as older adolescents play a role in vaccine decision-making, they can also be recipients of vaccine reminders.73 Provider interest in text messaging has been mixed. In one study of providers in Kansas, 27% were willing and 43% undecided about using text-messaging,74 although none had ever used text message reminders. It is likely that those who are unfamiliar with a technology may be less open, at first, to its use; few people are early adopters of new technology and most often wait and adopt when the majority adopts.75 We found a much greater level of support (88%) in health care providers at practices where we have conducted text message reminder/recall interventions.62 Government groups have also begun exploring the potential of text messaging. These efforts include health alerts from the United States Centers for Disease Control and Prevention (CDC),76 as well as the text messaging service for pregnant women and new parents, Text4Baby, which is a partnership with the Department of Health and Human Services (HHS) and private companies. As of February 2013, over 215,000 pregnant women and over 285,000 parents of young children have subscribed.77 This alone belies the national interest in use of text messaging for health education, at least in that population.
The use of email as a reminder has many of the potential benefits of text messaging including scalability, low-cost and the ability to automatically tailor messages to specific patient populations as well as to ensure that the message reach the intended person. They are also a stable form of contact.60 Unlike text messaging, email does not have a character count limit, supporting the delivery of more detailed information. Links to outside content can also be embedded. The prevalence of email use as well as the existence of policies from professional organizations to guide use of this tool provide a foundation for using email to improve health.78 Outside of vaccination, the literature on email reminders or the use of email as a more general health communication tool is sparse. Data have been primarily focused on adults, and available adult data have been inconclusive or did not show evidence of a significant effect.79-81 There are ongoing studies of email vaccine reminders, but they have not been published to date. In one national study, some parents, especially those with higher household incomes and those who were older, were interested in e-mail vaccine reminders.60 More studies on the use of email reminders for the pediatric and adolescent population are needed, particularly efforts focused on fostering vaccination. To facilitate such efforts some vendors now also offer email reminders.57
Provider-Focused Intervention: Clinical Decision Support
As with family-directed approaches, the use of health information technology has also proven effective in supporting provider-based vaccine interventions. Interventions for providers primarily focus on recommending vaccines, consistently, at all possible opportunities.28 Missed opportunities for vaccination occur when children come to the medical home for visits but do not receive any or all due vaccines; while these are a universal problem, they disproportionally result in vaccination delay among children with Medicaid insurance.82 Despite a common belief that missed opportunities arise because of vaccine contraindications, research has demonstrated that contraindications account for only a small proportion of missed opportunities.83 Most missed opportunities occur at acute-care visits when a provider may not be thinking about vaccination or be aware a patient was undervaccinated. Parents have expressed willingness to accept vaccination during these visits.84-86 As a result, strategies to increase vaccination at acute-care visits are a key component of initiatives to improve vaccination rates and, consequently, an important target for health information technology-based systems to improve care. Such interventions can also be used at any type of visit to target provider reluctance to recommend vaccines, especially in the case of adolescent vaccines like HPV.87,88 They can also be useful for vaccines such as influenza that generate parental concern.89
Among the most effective provider-oriented alerts has been the use of clinical decision support (CDS) delivered through the EHR. In broad terms, CDS provides clinicians with clinical knowledge and patient-related information, intelligently filtered or presented at appropriate times, to impact clinical decision-making to enhance patient care.90 Effective CDS depends upon having well-defined rules to guide recommendations; therefore, vaccination, which draws from rules published annually by the CDC that are widely disseminated, endorsed and accepted, are an ideal target for CDS. Studies have demonstrated the effectiveness of such rule-based algorithms in delivering accurate vaccine recommendations.91 In addition, the capture of vaccination events as discrete data within EHRs, as prioritized by the American Academy of Pediatrics,92 along with the aforementioned ability to integrate data from an IIS into the vaccine record, potentiate these interventions.
When vaccine CDS is implemented, alerts generally appear on-screen and summarize vaccines that are due to be given for a particular infant, child or adolescent. Such alerts have become increasingly standard within EHRs and may be designed to notify each member of the clinical team that vaccines are due. This approach helps to maximize the likelihood that the clinical team will approach families and offer vaccines as a standard part of each office visit, not just at well-child visits, which can help avoid missed opportunities.85 Best practices for CDS implementation, based on systematic literature reviews, specify that these alerts are most effective when they automatically provide recommendations (“DTaP, IPV, Hib, PCV13, rotavirus vaccines needed”) instead of just assessments (“this child is delayed”) and deliver information at the time and location of decision making.93,94 These reviews also demonstrate that computer-based is more effective than paper-based decision support. A limitation of these CDS interventions, especially for older children with less frequent visits, is that CDS only has the potential to improve care for those who come to the office. Pairing family or community-focused interventions that increase demand with office-based CDS may ultimately prove most effective in improving vaccination rates.95,96
Vaccine decision support has proven effective in reducing missed opportunities and improving vaccination rates. Work in this area builds upon a substantial literature on CDS that addresses such varied problems as reducing errors in medication ordering97,98 as well as improving the reliability of a wide range of health care processes.99 A systematic review of the effects of trials of on-screen, point of care computer reminders on processes and outcomes of care demonstrated a median improvement of nearly 4% in the ordering of recommended vaccines in diverse practice settings including adults and children.100 We found in 3,000 young children that the implementation of vaccine alerts that appeared for nurses and physicians at four urban, primary care practices decreased missed opportunities at well visits and sick visits, and led to significant and substantial increases both in vaccination coverage as well as timeliness of vaccination.101 We also explored the impact of these alerts on influenza vaccination rates among 12,000 older children with asthma cared for at urban and suburban practices.102 While missed opportunities decreased and vaccination coverage increased overall, results were only statistically significant within urban practices.103 Importantly, such practices often serve a population with higher rates of persistent asthma who are also at higher risk for influenza complications.
Related to alerts in the EHR for providers, EHR-linked personal health records (PHRs) provide a platform for delivering vaccine prompts to families to motivate vaccine receipt. Although PHR use is currently limited, a recent study illustrated that parents are willing to use a PHR to help manage their children's healthcare.104 Suggesting that they might aid in promoting vaccination, one study in adults showed that those who used a PHR were more likely to receive an influenza vaccine.105 Linking PHRs to smartphone use through an “app” is another emerging technology that warrants investigation.
System: Using Technology to Improve Vaccine Workflows and Documentation
System level factors affecting vaccination can also be targeted using technology. The use of EHR-based provider order entry facilitates workflow by transmitting clear orders and automatically documenting vaccine receipt. This is particularly important since in pediatric and adolescent medicine multiple vaccine doses are routinely given in one visit. The CDC, with the support of the American Academy of Pediatrics and others, is currently piloting the use of 2D bar codes to transfer vaccine information into an EHR to avoid the time-consuming and potentially error-prone process of typing in manufacturer, lot and expiration data.106,107 Such bar code systems could also potentially be used to track vaccine stock with alerts as to when more vaccine should be ordered, which could help support consistent vaccine supply. Finally, many IIS use online systems to support electronic transfer of vaccination information to meet reporting requirements as well as to order free Vaccines-for-Children (VFC) vaccine.
Addressing Vaccines in the Community: Internet, Web 2.0, and Social Media
Community-wide interventions such as public health campaigns have also been employed to raise awareness regarding the importance of vaccination.27 Here too, technology, particularly the Internet and social media, can be employed to increase coverage. Many people turn to the Internet for health information.108 In fact, half of adults who go online to “figure out” a medical condition subsequently visit a health care provider.109 The internet is also a way to reach families that may be geographically or socially isolated or not active users of the medical system.110 Many websites exist where reliable vaccination information can be found and they are often sponsored by governmental, non-profit or academic sources.111 These websites can be used to provide information that helps families know their child’s risk for a vaccine-preventable disease, that their child is in need of the vaccination, and to identify information regarding vaccine efficacy and safety. The Internet can also be used to provide information and decision aids to parents in an interactive format to help them make vaccine decisions.112 These decisions aids have been shown to improve understanding and the quality of decisions, including reducing uncertainty and regret, across a wide range of health decisions including those involving vaccines.113
Building upon the resources available in traditional internet pages, Web 2.0, or the second generation of the Internet, is beginning to be harnessed to promote vaccination by leveraging interactions across communities. Web 2.0 differs from traditional internet content which is “read only,” by allowing interaction between participants as well as user-generated content.114-116 Examples of Web 2.0 include social networking sites such as Facebook or Twitter, video-sharing sites like YouTube, and other media like blogs or forums.114 A quarter of internet users with specific health concerns or goals have enlisted the internet to connect with others in similar situations.4,108 There are, however, limited studies using Web 2.0 for health interventions in any setting including vaccination.114 One study of adults showed that those who had been vaccinated against influenza thought that Facebook and Twitter were potentially useful vaccine communication channels.117
Due to the interactivity of Web 2.0 sites, the success of interventions around vaccination using this platform depends upon aligning the intervention strategy with public access to and use of these sites.118 More information is needed to understand how people access and use these sites for vaccine information in order to create effective interventions.118 To most effectively amplify the public and individual health benefits of social media, interventions using Web 2.0 may be most successful if structured around well-established models of behavior change. Additionally, although much attention focuses on the content being disseminated, Web 2.0 provides an ideal tool to foster peer support and modeling, as opposed to simply delivering information, two approaches likely to motivate targeted health behaviors.119
While the Internet and social media may be used to promote vaccination, at the same time these tools are being used to promote anti-vaccination messages, and these messages can spread rapidly.120,121 For example, college students who viewed negative online blogs about the HPV vaccine had more negative attitudes regarding the vaccine, including perceiving the vaccine as less safe. Especially concerning, they had reduced intentions to receive the vaccine. Exposure to a positive blog did not alter vaccine-related risk perceptions, attitudes or intentions.122 Another study tracked the HPV vaccination debate on MySpace and found slightly more positive blogs, but negative blogs focused on vaccination risks and were supported largely by vaccine-critical commentaries, rather than evidenced-based information.123
Health care providers need to be attuned to the content of vaccine-related websites since patients and families may view these sites and have questions,121-124 especially given the common lack of verification of posted information.125 Additionally, public health organizations can combat vaccine misinformation by providing reliable evidenced-based information in Web 2.0 forums.120,123,126,127 Internet searches and tweets have been used recently to track outbreaks of diseases such as influenza.128 This field of research, called infodemiology, which collects and analyzes data in near real time,115 could also be used to assess what are the most common concerns regarding vaccination in different areas or among different populations, which could then be used to design a specific social or other media campaigns. For example, a recent study used publicly available data from 101,853 users of online social media to measure the spatio-temporal attitudes toward a new vaccine and revealed that information tended to flow between like-minded individuals. Simulations of infectious disease transmission also showed that if clusters of negative vaccine sentiments led to clusters of unprotected individuals, the likelihood of disease outbreaks would be greatly increased.129 Public health officials could reframe negative vaccine messages into salient, evidence-based ones that are meaningful to parents. These messages might then propagate through the anti-vaccine community through social media, like Twitter, attenuating vaccine resistance. While such examples raise the intriguing possibility of leveraging Twitter and other social media to improve vaccination rates, further study is needed to define ideal strategies for program implementation and to document benefit. However, the growing adoption of Twitter and other social media by state health departments suggests that these tools, if successful, may one day become a standard part of public health communication directed at vaccine promotion.130
Conclusions
Multiple established and emerging strategies have been implemented to foster vaccination and understanding of vaccines at the level of the family, provider, health system and community. New research is increasingly demonstrating the potential benefits of novel approaches such as text messages to transform how reminder/recall is implemented. At the same time, clinical decision support has demonstrated efficacy in multiple practice settings in preventing missed opportunities for vaccination. For communities, social media including Twitter may one day help health systems and public health departments more effectively challenge vaccine misinformation, while concurrently tracking outbreaks. As more is learned about each of these approaches in isolation, research should increasingly turn to understanding how best to integrate community, family, and provider-directed approaches that may synergistically reduce the tragic consequences of vaccine-preventable disease. This combined approach is likely to prove most effective in reaching the goals of Healthy People 2020 and limiting outbreaks of vaccine preventable diseases that continue to be observed in the United States.
Disclosure of Potential Conflicts of Interest
MSS has no financial disclosure to disclose. AGF is a co-inventor of the “Care Assistant” that provides clinician-focused, point of care decision support. He holds no patent on the software and has earned no money from this invention. No licensing agreement exists.
Footnotes
Previously published online: www.landesbioscience.com/journals/vaccines/article/25031
References
- 1.Brenner J. Pew Internet: Mobile, Pew Internet and American Life Project, Pew Research Center, 2013. Available at http://pewinternet.org/Commentary/2012/February/Pew-Internet-Mobile.aspx. Accessed on April 22, 2013.
- 2.Wireless Quick Facts CTIA, The Wireless Association. Available at http://www.ctia.org/media/index.cfm/AID/10323.
- 3.Smith A. Americans and text messaging, Pew Internet and American Life Project, Pew Research Center, 2011. Available at http://pewinternet.org/Reports/2011/Cell-Phone-Texting-2011.aspx. Accessed on January 26, 2013.
- 4.Smith A. Why Americans Use Social Media, Pew Internet and American Life Project, Pew Research Center, 2011. Available at http://pewinternet.org/Reports/2011/Why-Americans-Use-Social-Media.aspx, Accessed on January 26, 2013.
- 5.Purcell Kristen. Search and email still top the list of most popular online activies: Two activities nearly universal among adult internet users. Pew Internet & American Life Project, 2011, available at http://pewinternet.org/Reports/2011/Search-and-email.aspx. Accessed on February 3, 2013.
- 6.Jamoom EBP, Bercovitz A, Woodwell D, Palso K, Rechtsteiner E. Physician Adoption of Electronic Health Record Systems: United States, 2011. NCHS data brief, No 98. Hyattsville, MD; National Center for Health Statistics. 2012. [PubMed] [Google Scholar]
- 7.Hsiao CJ, Hing E. Use and characteristics of electronic health record systems among office-based physician practices: United States, 2001–2012 [Internet]. Hyattsville (MD): National Center for Health Statistics; 2012 Dec [cited 2012 Jan 12]. (Data Brief No. 111). Available at http://www.cdc.gov/nchs/data/databriefs/db111.htm. Accessed on February 15, 2013.
- 8.Leu MG, O’Connor KG, Marshall R, Price DT, Klein JD. Pediatricians’ use of health information technology: a national survey. Pediatrics. 2012;130:e1441–6. doi: 10.1542/peds.2012-0396. [DOI] [PubMed] [Google Scholar]
- 9.Kaelber DC, Jha AK, Johnston D, Middleton B, Bates DW. A research agenda for personal health records (PHRs) J Am Med Inform Assoc. 2008;15:729–36. doi: 10.1197/jamia.M2547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.California Healthcare Foundation. New National Survey Finds Personal Health Records Motivate Consumers to Improve Their Health. Available at http://www.chcf.org/media/press-releases/2010/new-national-survey-finds-personal-health-records-motivate-consumers-to-improve-their-health. Accessed on January 20, 2013.
- 11.Markle Foundation Connecting for Health. Americans overwhelmingly believe electronic personal health records could improve their health. Available at http://www.markle.org/sites/default/files/ResearchBrief-200806.pdf. Accessed on January 22, 2013.
- 12.Centers for Disease Control and Prevention (CDC) Progress in immunization information systems--United States, 2011. MMWR Morb Mortal Wkly Rep. 2013;62:48–51. [PMC free article] [PubMed] [Google Scholar]
- 13.Kolasa MS, Chilkatowsky AP, Clarke KR, Lutz JP. How complete are immunization registries? The Philadelphia story. Ambul Pediatr. 2006;6:21–4. doi: 10.1016/j.ambp.2005.08.006. [DOI] [PubMed] [Google Scholar]
- 14.Yusuf H, Adams M, Rodewald L, Lu P, Rosenthal J, Legum SE, et al. Fragmentation of immunization history among providers and parents of children in selected underserved areas. Am J Prev Med. 2002;23:106–12. doi: 10.1016/S0749-3797(02)00463-4. [DOI] [PubMed] [Google Scholar]
- 15.Joseph CL, Giblin PT, Kallenbach LR, Jacobsen G, Davis RM. Visiting multiple sites for immunization and vaccine coverage levels of preschool children in 3 urban clinics: potential indicator of record scatter? Clin Pediatr (Phila) 2002;41:249–56. doi: 10.1177/000992280204100409. [DOI] [PubMed] [Google Scholar]
- 16.Feikema SM, Klevens RM, Washington ML, Barker L. Extraimmunization among US children. JAMA. 2000;283:1311–7. doi: 10.1001/jama.283.10.1311. [DOI] [PubMed] [Google Scholar]
- 17.Centers for Disease Control and Prevention. Meaningful Use and Immunization Information Systems. Available at http://www.cdc.gov/vaccines/programs/iis/meaningful-use/index.html. Accessed on January 20, 2013.
- 18.Dombkowski KJ, Clark SJ. Redefining meaningful use: achieving interoperability with immunization registries. Am J Prev Med. 2012;42:e33–5. doi: 10.1016/j.amepre.2012.01.009. [DOI] [PubMed] [Google Scholar]
- 19.Centers for Disease Control and Prevention (CDC) Ten great public health achievements--United States, 1900-1999. MMWR Morb Mortal Wkly Rep. 1999;48:241–3. [PubMed] [Google Scholar]
- 20.Centers for Disease Control and Prevention (CDC) National, state, and local area vaccination coverage among children aged 19-35 months--United States, 2011. MMWR Morb Mortal Wkly Rep. 2012;61:689–96. [PubMed] [Google Scholar]
- 21.U.S. Department of Health and Human Services. Healthy People 2010 and Healthy People 2020. Available at http://www.cdc.gov/nchs/healthy_people/hp2010.htm and http://www.healthypeople.gov/. Accessed on January 26, 2013.
- 22.Centers for Disease Control and Prevention (CDC) National and state vaccination coverage among adolescents aged 13-17 years--United States, 2011. MMWR Morb Mortal Wkly Rep. 2012;61:671–7. [PubMed] [Google Scholar]
- 23.Centers for Disease Control and Prevention. March Flu Vaccination Coverage. United States, 2011-12 Influenza Season. Available at http://www.cdc.gov/flu/professionals/vaccination/nfs-survey-march2012.htm. Accessed on January 18, 2013.
- 24.Misegades LK, Winter K, Harriman K, Talarico J, Messonnier NE, Clark TA, et al. Association of childhood pertussis with receipt of 5 doses of pertussis vaccine by time since last vaccine dose, California, 2010. JAMA. 2012;308:2126–32. doi: 10.1001/jama.2012.14939. [DOI] [PubMed] [Google Scholar]
- 25.Kahn JA, Rosenthal SL, Jin Y, Huang B, Namakydoust A, Zimet GD. Rates of human papillomavirus vaccination, attitudes about vaccination, and human papillomavirus prevalence in young women. Obstet Gynecol. 2008;111:1103–10. doi: 10.1097/AOG.0b013e31817051fa. [DOI] [PubMed] [Google Scholar]
- 26.Centers for Disease Control and Prevention (CDC) Measles - United States, 2011. MMWR Morb Mortal Wkly Rep. 2012;61:253–7. [PubMed] [Google Scholar]
- 27.Shefer A, Briss P, Rodewald L, Bernier R, Strikas R, Yusuf H, et al. Improving immunization coverage rates: an evidence-based review of the literature. Epidemiol Rev. 1999;21:96–142. doi: 10.1093/oxfordjournals.epirev.a017992. [DOI] [PubMed] [Google Scholar]
- 28.Briss PA, Rodewald LE, Hinman AR, Shefer AM, Strikas RA, Bernier RR, et al. The Task Force on Community Preventive Services Reviews of evidence regarding interventions to improve vaccination coverage in children, adolescents, and adults. Am J Prev Med. 2000;18(Suppl):97–140. doi: 10.1016/S0749-3797(99)00118-X. [DOI] [PubMed] [Google Scholar]
- 29.Centers for Disease Control and Prevention (CDC) Evolution of varicella surveillance--selected states, 2000-2010. MMWR Morb Mortal Wkly Rep. 2012;61:609–12. [PubMed] [Google Scholar]
- 30.Centers for Disease Control and Prevention (CDC) Licensure of a 13-valent pneumococcal conjugate vaccine (PCV13) and recommendations for use among children - Advisory Committee on Immunization Practices (ACIP), 2010. MMWR Morb Mortal Wkly Rep. 2010;59:258–61. [PubMed] [Google Scholar]
- 31.Jones Cooper SN, Walton-Moss B. Using Reminder/Recall Systems to Improve Influenza Immunization Rates in Children With Asthma. J Pediatr Health Care. 2012:7. doi: 10.1016/j.pedhc.2011.11.005. [DOI] [PubMed] [Google Scholar]
- 32.Harper SA, Fukuda K, Uyeki TM, Cox NJ, Bridges CB, Centers for Disease Control and Prevention (CDC) Advisory Committee on Immunization Practices (ACIP) Prevention and control of influenza: recommendations of the Advisory Committee on Immunization Practices (ACIP) MMWR Recomm Rep. 2004;53(RR-6):1–40. [PubMed] [Google Scholar]
- 33.Fiore AE, Uyeki TM, Broder K, Finelli L, Euler GL, Singleton JA, et al. Centers for Disease Control and Prevention (CDC) Prevention and control of influenza with vaccines: recommendations of the Advisory Committee on Immunization Practices (ACIP), 2010. MMWR Recomm Rep. 2010;59(RR-8):1–62. [PubMed] [Google Scholar]
- 34.Cohen B, Ferng YH, Wong-McLoughlin J, Jia H, Morse SS, Larson EL. Predictors of flu vaccination among urban Hispanic children and adults. J Epidemiol Community Health. 2012;66:204–9. doi: 10.1136/jech.2009.099879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Lannon C, Brack V, Stuart J, Caplow M, McNeill A, Bordley WC, et al. What mothers say about why poor children fall behind on immunizations. A summary of focus groups in North Carolina. Arch Pediatr Adolesc Med. 1995;149:1070–5. doi: 10.1001/archpedi.1995.02170230024003. [DOI] [PubMed] [Google Scholar]
- 36.Baker LM, Wilson FL, Nordstrom CK, Legwand C. Mothers’ knowledge and information needs relating to childhood immunizations. Issues Compr Pediatr Nurs. 2007;30:39–53. doi: 10.1080/01460860701366666. [DOI] [PubMed] [Google Scholar]
- 37.Wilson FL, Brown DL, Stephens-Ferris M. Can easy-to-read immunization information increase knowledge in urban low-income mothers? J Pediatr Nurs. 2006;21:4–12. doi: 10.1016/j.pedn.2005.06.003. [DOI] [PubMed] [Google Scholar]
- 38.Scott TL, Gazmararian JA, Williams MV, Baker DW. Health literacy and preventive health care use among Medicare enrollees in a managed care organization. Med Care. 2002;40:395–404. doi: 10.1097/00005650-200205000-00005. [DOI] [PubMed] [Google Scholar]
- 39.Nielson-Bohlman L, Panzer A, Hamlin H, Kindig D. Health literacy: A prescription to end confusion. Washington DC: Institution of Medicine; 2004. [PubMed] [Google Scholar]
- 40.Kutner M, Greenberg E, Jin Y, Paulsen C. The Health Literacy of America’s Adults: Results From the 2003 National Assessment of Adult Literacy (NCES 2006–483). U.S.Department of Education.Washington, DC: National Center for Education Statistics. 2006. [Google Scholar]
- 41.Irigoyen MM, Findley S, Wang D, Chen S, Chimkin F, Pena O, et al. Challenges and successes of immunization registry reminders at inner-city practices. Ambul Pediatr. 2006;6:100–4. doi: 10.1016/j.ambp.2005.10.006. [DOI] [PubMed] [Google Scholar]
- 42.Kempe A, Lowery NE, Pearson KA, Renfrew BL, Jones JS, Steiner JF, et al. Immunization recall: effectiveness and barriers to success in an urban teaching clinic. J Pediatr. 2001;139:630–5. doi: 10.1067/mpd.2001.117069. [DOI] [PubMed] [Google Scholar]
- 43.Daley MF, Steiner JF, Brayden RM, Xu S, Morrison S, Kempe A. Immunization registry-based recall for a new vaccine. Ambul Pediatr. 2002;2:438–43. doi: 10.1367/1539-4409(2002)002<0438:IRBRFA>2.0.CO;2. [DOI] [PubMed] [Google Scholar]
- 44.Hambidge SJ, Davidson AJ, Phibbs SL, Chandramouli V, Zerbe G, LeBaron CW, et al. Strategies to improve immunization rates and well-child care in a disadvantaged population: a cluster randomized controlled trial. Arch Pediatr Adolesc Med. 2004;158:162–9. doi: 10.1001/archpedi.158.2.162. [DOI] [PubMed] [Google Scholar]
- 45.LeBaron CW, Starnes DM, Rask KJ. The impact of reminder-recall interventions on low vaccination coverage in an inner-city population. Arch Pediatr Adolesc Med. 2004;158:255–61. doi: 10.1001/archpedi.158.3.255. [DOI] [PubMed] [Google Scholar]
- 46.Fox S. Medicine 2.0: Peer-to-peer healthcare. Pew Internet and American Life Project, Pew Research Center, 2011. Available at http://www.pewinternet.org/Reports/2011/Medicine-20/Part-1.aspx Accessed on January 26, 2013.
- 47.Zichuhr K, Smith S. Digital differences. Pew Internet & American Life Project. Available at http://www.pewinternet.org/~/media//Files/Reports/2012/PIP_Digital_differences_041312.pdf. Accessed February 16, 2013.
- 48.National Vaccine Advisory Committee Standards for child and adolescent immunization practices. Pediatrics. 2003;112:958–63. [PubMed] [Google Scholar]
- 49.Middleman AB, Rosenthal SL, Rickert VI, Neinstein L, Fishbein DB, D’Angelo L, Society for Adolescent Medicine Adolescent immunizations: a position paper of the Society for Adolescent Medicine. J Adolesc Health. 2006;38:321–7. doi: 10.1016/j.jadohealth.2006.01.002. [DOI] [PubMed] [Google Scholar]
- 50.Centers for Disease Control and Prevention (CDC) Recommendations of the Advisory Committee on Immunization Practices, the American Academy of Pediatrics, and the American Academy of Family Physicians: use of reminder and recall by vaccination providers to increase vaccination rates. MMWR Morb Mortal Wkly Rep. 1998;47:715–7. [PubMed] [Google Scholar]
- 51.Adams WG, Fuhlbrigge AL, Miller CW, Panek CG, Gi Y, Loane KC, et al. TLC-Asthma: an integrated information system for patient-centered monitoring, case management, and point-of-care decision support. AMIA Annu Symp Proc. 2003:1–5. [PMC free article] [PubMed] [Google Scholar]
- 52.Adams WG, Wright JA, Noland CM, Watson BL, Friedman RH. TLC-HEAT: Telephony-based self-care for overweight children. AMIA Annu Symp Proc. 2007;•••:859. [PubMed] [Google Scholar]
- 53.Fiks AG. Designing computerized decision support that works for clinicians and families. Curr Probl Pediatr Adolesc Health Care. 2011;41:60–88. doi: 10.1016/j.cppeds.2010.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Franzini L, Rosenthal J, Spears W, Martin HS, Balderas L, Brown M, et al. Cost-effectiveness of childhood immunization reminder/recall systems in urban private practices. Pediatrics. 2000;106:177–83. [PubMed] [Google Scholar]
- 55.Szilagyi PG, Bordley C, Vann JC, Chelminski A, Kraus RM, Margolis PA, et al. Effect of patient reminder/recall interventions on immunization rates: A review. JAMA. 2000;284:1820–7. doi: 10.1001/jama.284.14.1820. [DOI] [PubMed] [Google Scholar]
- 56.eClinicalWorks. eClinicalWorks Announces eClinicalWorks P2P. Business Wire, Sept 13, 2009, Available at http://www.eclinicalworks.com/09cc5824-85d2-43c0-bcee-9a1972e6ea95/news-and-events-2009-detail.htm. Accessed on February 16, 2013.
- 57.Dombkowski KJ, Harrington L, Hanauer D, Kennedy A, Clark S. Current and potential use of new technologies for reminder notifications. Clin Pediatr (Phila) 2012;51:394–7. doi: 10.1177/0009922811420715. [DOI] [PubMed] [Google Scholar]
- 58.Kharbanda EO, Stockwell MS, Fox HW, Rickert VI. Text4Health: a qualitative evaluation of parental readiness for text message immunization reminders. Am J Public Health. 2009;99:2176–8. doi: 10.2105/AJPH.2009.161364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Montague E, Perchonok J. Health and wellness technology use by historically underserved health consumers: systematic review. J Med Internet Res. 2012;14:e78. doi: 10.2196/jmir.2095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Clark SJ, Butchart A, Kennedy A, Dombkowski KJ. Parents’ experiences with and preferences for immunization reminder/recall technologies. Pediatrics. 2011;128:e1100–5. doi: 10.1542/peds.2011-0270. [DOI] [PubMed] [Google Scholar]
- 61.Centers for Disease Control and Prevention (CDC) Evaluation of vaccination recall letter system for Medicaid-enrolled children aged 19-23 months--Montana, 2011. MMWR Morb Mortal Wkly Rep. 2012;61:811–5. [PubMed] [Google Scholar]
- 62.Hofstetter AM, Vargas CY, Kennedy A, Kitayama K, Stockwell MS. Parental and provider preferences and concerns regarding text message reminder/recall for early childhood vaccinations. Prev Med. 2013:23. doi: 10.1016/j.ypmed.2013.04.007. [DOI] [PubMed] [Google Scholar]
- 63.Militello LK, Kelly SA, Melnyk BM. Systematic review of text-messaging interventions to promote healthy behaviors in pediatric and adolescent populations: implications for clinical practice and research. Worldviews Evid Based Nurs. 2012;9:66–77. doi: 10.1111/j.1741-6787.2011.00239.x. [DOI] [PubMed] [Google Scholar]
- 64.Free CPG, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10:e1001362. doi: 10.1371/journal.pmed.1001362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kharbanda EO, Stockwell MS, Fox HW, Andres R, Lara M, Rickert VI. Text message reminders to promote human papillomavirus vaccination. Vaccine. 2011;29:2537–41. doi: 10.1016/j.vaccine.2011.01.065. [DOI] [PubMed] [Google Scholar]
- 66.Stockwell MS, Kharbanda EO, Martinez RA, Lara M, Vawdrey D, Natarajan K, et al. Text4Health: impact of text message reminder-recalls for pediatric and adolescent immunizations. Am J Public Health. 2012;102:e15–21. doi: 10.2105/AJPH.2011.300331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Vilella A, Bayas JM, Diaz MT, Guinovart C, Diez C, Simó D, et al. The role of mobile phones in improving vaccination rates in travelers. Prev Med. 2004;38:503–9. doi: 10.1016/j.ypmed.2003.12.005. [DOI] [PubMed] [Google Scholar]
- 68.Ahlers-Schmidt CR, Chesser AK, Nguyen T, Brannon J, Hart TA, Williams KS, et al. Feasibility of a randomized controlled trial to evaluate Text Reminders for Immunization Compliance in Kids (TRICKs) Vaccine. 2012;30:5305–9. doi: 10.1016/j.vaccine.2012.06.058. [DOI] [PubMed] [Google Scholar]
- 69.Stockwell MS, Kharbanda EO, Martinez RA, Vargas CY, Vawdrey DK, Camargo S. Effect of a text messaging intervention on influenza vaccination in an urban, low-income pediatric and adolescent population: a randomized controlled trial. JAMA. 2012;307:1702–8. doi: 10.1001/jama.2012.502. [DOI] [PubMed] [Google Scholar]
- 70.Szilagyi PG, Adams WG. Text messaging: a new tool for improving preventive services. JAMA. 2012;307:1748–9. doi: 10.1001/jama.2012.524. [DOI] [PubMed] [Google Scholar]
- 71.Ahlers-Schmidt CR, Chesser A, Hart T, Paschal A, Nguyen T, Wittler RR. Text messaging immunization reminders: feasibility of implementation with low-income parents. Prev Med. 2010;50:306–7. doi: 10.1016/j.ypmed.2010.02.008. [DOI] [PubMed] [Google Scholar]
- 72.Ahlers-Schmidt CR, Hart T, Chesser A, Paschal A, Nguyen T, Wittler RR. Content of text messaging immunization reminders: what low-income parents want to know. Patient Educ Couns. 2011;85:119–21. doi: 10.1016/j.pec.2010.08.007. [DOI] [PubMed] [Google Scholar]
- 73.Gowda C, Schaffer SE, Dombkowski KJ, Dempsey AF. Understanding attitudes toward adolescent vaccination and the decision-making dynamic among adolescents, parents and providers. BMC Public Health. 2012;12:509. doi: 10.1186/1471-2458-12-509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Hart T, Ahlers-Schmidt CR, Chesser A, Jones J, Williams KS, Wittler RR. Physician impressions of using text message technology to increase vaccination compliance. Telemed J E Health. 2011;17:427–30. doi: 10.1089/tmj.2010.0221. [DOI] [PubMed] [Google Scholar]
- 75.Rogers EM. Diffusion of Innovations. 5th ed. New York 2003. [Google Scholar]
- 76.Get CDC Health Tips & Alerts via Text Message. Available at http://www.cdc.gov/features/healthtextalerts/. Accessed on January 20, 2013.
- 77.Text4Baby Enrollment Data.Available at https://text4baby.org/index.php/partner-resources/105-text4baby-enrollment-data. Downloaded on February 16, 2013.
- 78.Gerstle RS, American Academy of Pediatrics Task Force on Medical Informatics E-mail communication between pediatricians and their patients. Pediatrics. 2004;114:317–21. doi: 10.1542/peds.114.1.317. [DOI] [PubMed] [Google Scholar]
- 79.Atherton H, Sawmynaden P, Meyer B, Car J. Email for the coordination of healthcare appointments and attendance reminders. Cochrane Database Syst Rev. 2012;8:CD007981. doi: 10.1002/14651858.CD007981.pub2. [DOI] [PubMed] [Google Scholar]
- 80.Atherton H, Sawmynaden P, Sheikh A, Majeed A, Car J. Email for clinical communication between patients/caregivers and healthcare professionals. Cochrane Database Syst Rev. 2012;11:CD007978. doi: 10.1002/14651858.CD007978.pub2. [DOI] [PubMed] [Google Scholar]
- 81.Sawmynaden P, Atherton H, Majeed A, Car J. Email for the provision of information on disease prevention and health promotion. Cochrane Database Syst Rev. 2012;11:CD007982. doi: 10.1002/14651858.CD007982.pub2. [DOI] [PubMed] [Google Scholar]
- 82.Szilagyi PG, Rodewald LE, Humiston SG, Raubertas RF, Cove LA, Doane CB, et al. Missed opportunities for childhood vaccinations in office practices and the effect on vaccination status. Pediatrics. 1993;91:1–7. [PubMed] [Google Scholar]
- 83.Lieu TA, Black SB, Sorel ME, Ray P, Shinefield HR. Would better adherence to guidelines improve childhood immunization rates? Pediatrics. 1996;98:1062–8. [PubMed] [Google Scholar]
- 84.McConnochie KM, Roghmann KJ. Immunization opportunities missed among urban poor children. Pediatrics. 1992;89:1019–26. [PubMed] [Google Scholar]
- 85.Fiks AG, Hunter KF, Localio AR, Grundmeier RW, Alessandrini EA. Impact of immunization at sick visits on well-child care. Pediatrics. 2008;121:898–905. doi: 10.1542/peds.2007-2174. [DOI] [PubMed] [Google Scholar]
- 86.Udovic SL, Lieu TA, Black SB, Ray PM, Ray GT, Shinefield HR. Parent reports on willingness to accept childhood immunizations during urgent care visits. Pediatrics. 1998;102:E47. doi: 10.1542/peds.102.4.e47. [DOI] [PubMed] [Google Scholar]
- 87.Vadaparampil ST, Kahn JA, Salmon D, Lee JH, Quinn GP, Roetzheim R, et al. Missed clinical opportunities: provider recommendations for HPV vaccination for 11-12 year old girls are limited. Vaccine. 2011;29:8634–41. doi: 10.1016/j.vaccine.2011.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Lee GM, Lorick SA, Pfoh E, Kleinman K, Fishbein D. Adolescent immunizations: missed opportunities for prevention. Pediatrics. 2008;122:711–7. doi: 10.1542/peds.2007-2857. [DOI] [PubMed] [Google Scholar]
- 89.Allred NJ, Poehling KA, Szilagyi PG, Zhang F, Edwards KM, Staat MA, et al. The impact of missed opportunities on seasonal influenza vaccination coverage for healthy young children. J Public Health Manag Pract. 2011;17:560–4. doi: 10.1097/PHH.0b013e31821831c3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Osheroff J, Pifer E, Teich J, Sittig D, Jenders R. Improving Outcomes with Clinical Decision Support: An Implementer’s Guide: Productivity Press; 2005. [Google Scholar]
- 91.Zhu VJ, Grannis SJ, Tu W, Rosenman MB, Downs SM. Evaluation of a clinical decision support algorithm for patient-specific childhood immunization. Artif Intell Med. 2012;56:51–7. doi: 10.1016/j.artmed.2012.04.004. [DOI] [PubMed] [Google Scholar]
- 92.Spooner SA, Council on Clinical Information Technology, American Academy of Pediatrics Special requirements of electronic health record systems in pediatrics. Pediatrics. 2007;119:631–7. doi: 10.1542/peds.2006-3527. [DOI] [PubMed] [Google Scholar]
- 93.Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330:765. doi: 10.1136/bmj.38398.500764.8F. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293:1223–38. doi: 10.1001/jama.293.10.1223. [DOI] [PubMed] [Google Scholar]
- 95.Fiks AG, Grundmeier RW, Mayne S, Song L, Feemster K, Karavite D, et al. Effectiveness of Decision Support for Families, Clinicians, or Both on HPV Vaccine Receipt. Pediatrics. 2013;131:1114–24. doi: 10.1542/peds.2012-3122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Mayne S, Karavite D, Grundmeier RW, Localio R, Feemster K, DeBartolo E, et al. The implementation and acceptability of an HPV vaccination decision support system directed at both clinicians and families. AMIA Annu Symp Proc. 2012;2012:616–24. [PMC free article] [PubMed] [Google Scholar]
- 97.Bates DW, Leape LL, Cullen DJ, Laird N, Petersen LA, Teich JM, et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. JAMA. 1998;280:1311–6. doi: 10.1001/jama.280.15.1311. [DOI] [PubMed] [Google Scholar]
- 98.Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163:1409–16. doi: 10.1001/archinte.163.12.1409. [DOI] [PubMed] [Google Scholar]
- 99.Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux RR, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157:29–43. doi: 10.7326/0003-4819-157-1-201207030-00450. [DOI] [PubMed] [Google Scholar]
- 100.Shojania KG, Jennings A, Mayhew A, Ramsay CR, Eccles MP, Grimshaw J. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev. 2009:CD001096. doi: 10.1002/14651858.CD001096.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Fiks AG, Grundmeier RW, Biggs LM, Localio AR, Alessandrini EA. Impact of clinical alerts within an electronic health record on routine childhood immunization in an urban pediatric population. Pediatrics. 2007;120:707–14. doi: 10.1542/peds.2007-0257. [DOI] [PubMed] [Google Scholar]
- 102.Fiks AG, Hunter KF, Localio AR, Grundmeier RW, Bryant-Stephens T, Luberti AA, et al. Impact of electronic health record-based alerts on influenza vaccination for children with asthma. Pediatrics. 2009;124:159–69. doi: 10.1542/peds.2008-2823. [DOI] [PubMed] [Google Scholar]
- 103.Williams DR, Sternthal M, Wright RJ. Social determinants: taking the social context of asthma seriously. Pediatrics. 2009;123(Suppl 3):S174–84. doi: 10.1542/peds.2008-2233H. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Tom JO, Mangione-Smith R, Solomon C, Grossman DC. Integrated personal health record use: association with parent-reported care experiences. Pediatrics. 2012;130:e183–90. doi: 10.1542/peds.2011-1786. [DOI] [PubMed] [Google Scholar]
- 105.Lau AY, Sintchenko V, Crimmins J, Magrabi F, Gallego B, Coiera E. Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: a randomized controlled trial. J Am Med Inform Assoc. 2012;19:719–27. doi: 10.1136/amiajnl-2011-000433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.American Academy of Pediatrics. Implementing Automated Identification of Vaccine Products (AIVP) or Two Dimensional Bar Code Technology in the Clinical Practice Setting. Available at http://www2.aap.org/immunization/pediatricians/barcoding.html. Accessed on January 30, 2013.
- 107.Resources for the Two-Dimensional. (2D) Vaccine Barcoding Community. Available at http://2dbarcodepilot.com/. Accessed on Janury 31, 2013.
- 108.Fox S. Health Information is a Popular Pursuit Online. Available at http://pewinternet.org/Reports/2011/HealthTopics/Part-1/59-of-adults.aspx. Accessed on January 21, 2013.
- 109.Fox S, Duggan M. Health Online. Pew Internet and American Life Project, 2013. Available at http://pewinternet.org/Reports/2013/Health-online.aspx; Accessed on January 26, 2013.
- 110.Crilly JF, Keefe RH, Volpe F. Use of electronic technologies to promote community and personal health for individuals unconnected to health care systems. Am J Public Health. 2011;101:1163–7. doi: 10.2105/AJPH.2010.300003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Madden K, Nan X, Briones R, Waks L. Sorting through search results: a content analysis of HPV vaccine information online. Vaccine. 2012;30:3741–6. doi: 10.1016/j.vaccine.2011.10.025. [DOI] [PubMed] [Google Scholar]
- 112.Connolly T, Reb J. Toward interactive, Internet-based decision aid for vaccination decisions: better information alone is not enough. Vaccine. 2012;30:3813–8. doi: 10.1016/j.vaccine.2011.12.094. [DOI] [PubMed] [Google Scholar]
- 113.Stacey D, Bennett CL, Barry MJ, Col NF, Eden KB, Holmes-Rovner M, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2011:CD001431. doi: 10.1002/14651858.CD001431.pub3. [DOI] [PubMed] [Google Scholar]
- 114.Chou WY, Prestin A, Lyons C, Wen KY. Web 2.0 for health promotion: reviewing the current evidence. Am J Public Health. 2013;103:e9–18. doi: 10.2105/AJPH.2012.301071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res. 2009;11:e11. doi: 10.2196/jmir.1157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Kreps GL, Neuhauser L. New directions in eHealth communication: opportunities and challenges. Patient Educ Couns. 2010;78:329–36. doi: 10.1016/j.pec.2010.01.013. [DOI] [PubMed] [Google Scholar]
- 117.Frew PM, Painter JE, Hixson B, Kulb C, Moore K, del Rio C, et al. Factors mediating seasonal and influenza A (H1N1) vaccine acceptance among ethnically diverse populations in the urban south. Vaccine. 2012;30:4200–8. doi: 10.1016/j.vaccine.2012.04.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Witteman HO, Zikmund-Fisher BJ. The defining characteristics of Web 2.0 and their potential influence in the online vaccination debate. Vaccine. 2012;30:3734–40. doi: 10.1016/j.vaccine.2011.12.039. [DOI] [PubMed] [Google Scholar]
- 119.Bandura A. Self-efficacy: The exercise of control: Worth Publishers; 1997. [Google Scholar]
- 120.Betsch C, Brewer NT, Brocard P, Davies P, Gaissmaier W, Haase N, et al. Opportunities and challenges of Web 2.0 for vaccination decisions. Vaccine. 2012;30:3727–33. doi: 10.1016/j.vaccine.2012.02.025. [DOI] [PubMed] [Google Scholar]
- 121.Kata A. Anti-vaccine activists, Web 2.0, and the postmodern paradigm--an overview of tactics and tropes used online by the anti-vaccination movement. Vaccine. 2012;30:3778–89. doi: 10.1016/j.vaccine.2011.11.112. [DOI] [PubMed] [Google Scholar]
- 122.Nan X, Madden K. HPV vaccine information in the blogosphere: how positive and negative blogs influence vaccine-related risk perceptions, attitudes, and behavioral intentions. Health Commun. 2012;27:829–36. doi: 10.1080/10410236.2012.661348. [DOI] [PubMed] [Google Scholar]
- 123.Keelan J, Pavri V, Balakrishnan R, Wilson K. An analysis of the Human Papilloma Virus vaccine debate on MySpace blogs. Vaccine. 2010;28:1535–40. doi: 10.1016/j.vaccine.2009.11.060. [DOI] [PubMed] [Google Scholar]
- 124.Robichaud P, Hawken S, Beard L, Morra D, Tomlinson G, Wilson K, et al. Vaccine-critical videos on YouTube and their impact on medical students’ attitudes about seasonal influenza immunization: a pre and post study. Vaccine. 2012;30:3763–70. doi: 10.1016/j.vaccine.2012.03.074. [DOI] [PubMed] [Google Scholar]
- 125.Chretien KC, Azar J, Kind T. Physicians on Twitter. JAMA. 2011;305:566–8. doi: 10.1001/jama.2011.68. [DOI] [PubMed] [Google Scholar]
- 126.Betsch C, Sachse K. Debunking Vaccination Myths: Strong Risk Negations Can Increase Perceived Vaccination Risks. Health Psychol. 2013;32:146–55. doi: 10.1037/a0027387. [DOI] [PubMed] [Google Scholar]
- 127.Nicholson MS, Leask J. Lessons from an online debate about measles-mumps-rubella (MMR) immunization. Vaccine. 2012;30:3806–12. doi: 10.1016/j.vaccine.2011.10.072. [DOI] [PubMed] [Google Scholar]
- 128.Culotta A. Towards detecting influenza epidemics by analyzing Twitter messages. In: Proceedings of the First Workshop on Social Media Analytics. Washington D.C., District of Columbia: ACM; 2010. p. 115-122. [Google Scholar]
- 129.Salathé M, Khandelwal S. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput Biol. 2011;7:e1002199. doi: 10.1371/journal.pcbi.1002199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Thackeray R, Neiger BL, Smith AK, Van Wagenen SB. Adoption and use of social media among public health departments. BMC Public Health. 2012;12:242. doi: 10.1186/1471-2458-12-242. [DOI] [PMC free article] [PubMed] [Google Scholar]