Characterizing the Access of Clinical Decision Support Offered by Immunization Information System in Minnesota

National trends in patterns of under-vaccination in early childhood: National Immunization Survey-Child, United States, 2011-2021

BACKGROUND

The study's objective was to examine national trends in patterns of under-vaccination in the United States.

RESEARCH DESIGN AND METHODS

The National Immunization Survey-Child (NIS-Child) is an annual cross-sectional survey that collects provider-verified vaccination records from a large national probability sample of children. Records from the 2011-2021 NIS-Child were used to assess receipt of the combined 7-vaccine series by age 24 months. Based on prior work, patterns indicative of hesitancy included zero vaccines, not starting ≥1 series, and consistent vaccine-limiting. Patterns indicative of practical issues included starting all series but missing doses. Up-to-date (UTD) was defined as receiving all doses in the combined 7-vaccine series.

RESULTS

The study population comprised 127,257 children. Over the observation period, patterns indicative of hesitancy significantly decreased (p-trend < 0.0001), patterns indicative of practical issues significantly decreased (p-trend < 0.0001), and UTD significantly increased (p-trend < 0.0001). In 2021, the weighted percentage in each category was as follows: probable hesitancy 6.3% (95% confidence interval [CI] 5.4%, 7.2%), probable practical issues 26.0% (95% CI 24.4%, 27.6%), and UTD 67.7% (95% CI 66.0%, 69.4%).

CONCLUSION

Over an 11-year period, vaccination coverage in the United States for the combined 7-vaccine series has improved, with patterns suggestive of practical issues or hesitancy declining.

Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

BACKGROUND

Electronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there is a gap in the literature detailing how EHR systems such as Epic have been used for health care research.

OBJECTIVE

The objective of this scoping review is to synthesize the available literature on use cases of the Epic EHR for research in various areas of clinical and health sciences.

METHODS

We used established scoping review methods and searched 9 major information repositories, including databases and gray literature sources. To categorize the research data, we developed detailed criteria for 5 major research domains to present the results.

RESULTS

We present a comprehensive picture of the method types in 5 research domains. A total of 4669 articles were screened by 2 independent reviewers at each stage, while 206 articles were abstracted. Most studies were from the United States, with a sharp increase in volume from the year 2015 onwards. Most articles focused on clinical care, health services research and clinical decision support. Among research designs, most studies used longitudinal designs, followed by interventional studies implemented at single sites in adult populations. Important facilitators and barriers to the use of Epic and EHRs in general were identified. Important lessons to the use of Epic and other EHRs for research purposes were also synthesized.

CONCLUSIONS

The Epic EHR provides a wide variety of functions that are helpful toward research in several domains, including clinical and population health, quality improvement, and the development of clinical decision support tools. As Epic is reported to be the most globally adopted EHR, researchers can take advantage of its various system features, including pooled data, integration of modules and developing decision support tools. Such research opportunities afforded by the system can contribute to improving quality of care, building health system efficiencies, and conducting population-level studies. Although this review is limited to the Epic EHR system, the larger lessons are generalizable to other EHRs.

Countering vaccine hesitancy through immunization information systems, a narrative review

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.

Stakeholder Use and Feedback on Vaccination History and Clinical Decision Support for Immunizations Offered by Public Health

National initiatives on Electronic Health Records (EHRs) recognize the vital role of public health and recommend reporting to Immunization Information Systems (IIS) and access of its clinical decision support for immunizations (CDSi). The objective of this study was to collect stakeholder feedback on access and utilization of CDSi from the Minnesota Immunization Information Connection (MIIC), Minnesota's IIS. Input was solicited using a semi-structured questionnaire developed by experts, and from a sample of 17 key informants from February 2015 through May 2016. Analysis highlighted the appreciation of MIIC services, comprehensive vaccination history across providers and CDSi functionality, with public health users relying on MIIC. It also identified issues such as data entry due to read-only view, data quality and communications for improvement. These findings underscore the critical role of IIS, need to engage stakeholders, ensure CDSi updates, maintain good data quality, and promote bi-directional data exchanges across EHRs-IIS.

Health care providers' perceptions of use and influence of clinical decision support reminders: qualitative study following a randomized trial to improve HPV vaccination rates

BACKGROUND

Human Papillomavirus (HPV) leads to serious health issues and remains the most common sexually transmitted infection. Despite availability of effective vaccines, HPV vaccination rates are suboptimal. Furthermore, providers recommend the HPV vaccine less than half the time for eligible patients. Prior informatics research has demonstrated the effectiveness of computer-based clinical decision support (CDS) in changing provider behavior, especially in the area of preventative services.

METHODS

Following a randomized clinical trial to test the effect of a CDS intervention on HPV vaccination rates, we conducted semi-structured interviews with health care providers to understand whether they noticed the CDS reminders and why providers did or did not respond to the prompts. Eighteen providers, a mix of medical doctors and nurse practitioners, were interviewed from five publicly-funded, urban health clinics. Interview data were qualitatively analyzed by two independent researchers using inductive content analysis.

RESULTS

While most providers recalled seeing the CDS reminders, few of them perceived the intervention as effective in changing their behavior. Providers stated many reasons for why they did not perceive a change in their behavior, yet the results of the trial showed HPV vaccination rates increased as a result of the intervention.

CONCLUSIONS

CDS reminders may be effective at changing provider behavior even if providers perceive them to be of little use.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02551887 Registered on September 15, 2015.

Direct and Electronic Health Record Access to the Clinical Decision Support for Immunizations in the Minnesota Immunization Information System

Immunization information systems (IIS) are population-based and confidential computerized systems maintained by public health agencies containing individual data on immunizations from participating health care providers. IIS hold comprehensive vaccination histories given across providers and over time. An important aspect to IIS is the clinical decision support for immunizations (CDSi), consisting of vaccine forecasting algorithms to determine needed immunizations. The study objective was to analyze the CDSi presentation by IIS in Minnesota (Minnesota Immunization Information Connection [MIIC]) through direct access by IIS interface and by access through electronic health records (EHRs) to outline similarities and differences. The immunization data presented were similar across the three systems examined, but with varying ability to integrate data across MIIC and EHR, which impacts immunization data reconciliation. Study findings will lead to better understanding of immunization data display, clinical decision support, and user functionalities with the ultimate goal of promoting IIS CDSi to improve vaccination rates.