Immunization Information Systems.

Immunization (IZ) information systems (IISs) are confidential, computerized, population-based systems that collect and consolidate IZ data from vaccination providers. The American Academy of Pediatrics continues to support the development and implementation of IISs as a beneficial tool to provide quality health care for children. Since the last revision of the American Academy of Pediatrics policy statement on IISs in 2006, numerous public health events and new data demonstrate the importance and value of these systems in society and expand the functionality and benefits of IISs beyond the basic IZ database intended to improve childhood IZ rates. This policy statement update will describe additional functions and benefits of IISs, as well as persistent and novel challenges and barriers that these systems face and pose to practicing pediatricians. Pediatricians and other pediatric health care practitioners should be aware of the value of IISs to society, the incentives and barriers involved in incorporating IIS access into a medical practice, and the opportunities to improve IISs and their functionality and usability in daily pediatric practice.

Reported Marijuana and Tobacco Smoke Incursions Among Families Living in Multiunit Housing in New York City.

BACKGROUND: While public knowledge on the prevalence and adverse health effects of secondhand tobacco smoke exposure is well established, information on the prevalence of secondhand marijuana smoke (SHMS) exposure is limited. METHODS: A convenience sample of parents of children attending 1 of 4 pediatric practices in the Mount Sinai Health System completed an anonymous questionnaire assessing demographics, housing characteristics, and the child's health status, as well as smoke incursions and household smoking behaviors. RESULTS: About 450 parents completed the survey between 2018 and 2019; those with incomplete data were excluded, and 382 surveys were included in the analysis. Approximately 40% of the children were white; the median age was 15 months (interquartile range: 5-40 months). About 30.9% (n = 118) of participants reported marijuana incursions in their home while with their child, while 33.5% (n = 122) reported tobacco smoke incursions. SHMS exposure differed by race (P = .0043); and by housing types (P < .0001). Participants in New York City Housing Authority (NYCHA) developments were more likely to report smelling SHMS (adjusted odds ratio = 3.45, 95% confidence interval = 1.18, 10.10], P = .02). Those in Section 8 housing were also more likely to report smelling SHMS, but the association was not significant (adjusted odds ratio = 3.29, 95% confidence interval = 0.94, 11.55, P = .06). Approximately two thirds of the participants reported viewing marijuana smoke as being harmful to their child. CONCLUSIONS: About one third of the families enrolled in the study reported smelling SHMS while at home with their child. Reported marijuana smoke exposure was associated with living in NYCHA housing. Policies that limit all smoke in multiunit housing should be supported.

Ordering Interruptions in a Tertiary Care Center: A Prospective Observational Study.

OBJECTIVES: By self-report, interruptions may contribute to up to 80% of ordering errors. A greater understanding of the frequency and context of interruptions during ordering is needed to identify targets for intervention. We sought to characterize the epidemiology of interruptions during order placement in the pediatric inpatient setting. METHODS: This prospective observational study conducted 1-hour-long structured observations on morning rounds and afternoons and evenings in the resident workroom. The primary outcome was the number of interruptions per 100 orders placed by residents and physician assistants. We assessed the role of ordering provider, number, type and urgency of interruptions and person initiating interruption. Descriptive statistics, χ2, and run charts were used. RESULTS: Sixty-nine structured observations were conducted with a total of 414 orders included. The interruption rate was 65 interruptions per 100 orders during rounds, 55 per 100 orders in the afternoons and 56 per 100 orders in the evenings. The majority of interruptions were in-person (n = 144, 61%). Interruptions from overhead announcements occurred most often in the mornings, and phone interruptions occurred most often in the evenings (P = .002). Nurses initiated interruptions most frequently. Attending physicians and fellows were more likely to interrupt during rounds, and coresidents were more likely to interrupt in the evenings (P = .002). CONCLUSIONS: Residents and physician assistants are interrupted at a rate of 57 interruptions per 100 orders placed. This may contribute to ordering errors and worsen patient safety. Efforts should be made to decrease interruptions during the ordering process and track their effects on medication errors.