Sansanee Craig’s research while affiliated with The Children's Hospital of Philadelphia and other places

Objective Owing to the coronavirus disease 2019 (COVID-19) pandemic, many developmental-behavioral pediatric (DBP) practices adopted telehealth for care delivery. However, telehealth access and use for families with a preferred language other than English (PLOE) is an equity concern. Therefore, our study objective is to compare rates of telehealth utilization and visit completion by preferred family language among patients seen for DBP assessments during the COVID-19 pandemic. Methods We completed a descriptive chart review using electronic health record data at 4 academic DBP practices to examine visits for patients up to 5 years seen for new-patient appointments between April 2020 and April 2021. We compared rates of in-person and telehealth visits by preferred family language and visit outcome (completed or missed). Results A total of 3241 visits were scheduled between April 2020 and April 2021; 48.2% were for in-person and 51.8% for telehealth. Families reported the following languages: 90.5% English, 6.2% Spanish, and 3.3% other language. Missed visits accounted for 7.6% of scheduled visits. The relative percentage of in-person versus telehealth visits varied significantly by site ( p < 0.001) and preferred family language ( p < 0.001). English-speaking patients had 2.10 times the odds of being scheduled for telehealth compared with patients with PLOE, adjusting for site. Statistically significant differences were not found for visit outcome (completed or missed) by visit type (in-person or telehealth) ( p = 0.79), including after accounting for PLOE status ( p = 0.83). Conclusion At the height of the pandemic, most English-speaking families were scheduled for new DBP evaluations by telehealth, but fewer families with PLOE were. Attention to language to ensure telehealth access equity is critical.

Background and objectives: Consumer home monitors (CHM), which measure vital signs, are popular products marketed to detect airway obstruction and arrhythmia. Yet, they lack evidence of infant death prevention, demonstrate suboptimal accuracy, and may result in false alarms that prompt unnecessary acute care visits. To better understand the hospital utilization and costs of CHM, we characterized emergency department (ED) and hospital encounters associated with CHM use at a children's hospital. Methods: We used structured query language to search the free text of all ED and admission notes between January 2013 and December 2019 to identify clinical documentation discussing CHM use. Two physicians independently reviewed the presence of CHM use and categorized encounter characteristics. Results: Evidence of CHM use contributed to the presentation of 36 encounters in a sample of over 300 000 encounters, with nearly half occurring in 2019. The leading discharge diagnoses were viral infection (13, 36%), gastroesophageal reflux (8, 22%) and false positive alarm (6, 17%). Median encounter duration was 20 hours (interquartile range: 3 hours to 2 days; max 10.5 days) and median cost of encounters was $2188 (interquartile range:$255 to $7632; max$84 928). Conclusions: Although the annual rate of CHM-related encounters was low and did not indicate a major public health burden, for individual families who present to the ED or hospital for concerns related to CHMs, there may be important adverse financial and emotional consequences.

Technology continues to impact healthcare around the world. This provides great opportunities, but also risks. These risks are compounded in low-resource settings where errors in planning and implementation may be more difficult to overcome. Global Health Informatics provides lessons in both opportunities and risks by building off of general Global Health. Global Health Informatics also requires a thorough understanding of the local environment and the needs of low-resource settings. Forming effective partnerships and following the lead of local experts are necessary for sustainability; it also ensures that the priorities of the local community come first. There is an opportunity for partnerships between low-resource settings and high income areas that can provide learning opportunities to avoid the pitfalls that plague many digital health systems and learn how to properly implement technology that truly improves healthcare.

Health and health care disparities are widespread with major impacts on outcomes for children and families. Inequitable care is poor quality care. Though health IT has the potential to improve disparities, health IT implementation can have unintended consequences of widening, maintaining, or creating disparities by disproportionately benefiting advantaged children, adolescents, and their caregivers. Narrowing disparities can be achieved by embracing an approach that places marginalized patients at the center of health IT design and implementation. Health care systems can leverage the disparity-reducing potential of health information technologies by housing innovation within an equity framework. Initial steps include evaluating for disparities exacerbated by health IT, implementing universal precautions to prevent health IT intervention-generated inequalities, and co-designing future innovations with marginalized communities. By directly addressing community needs, health IT systems designed to effectively benefit underserved children, adolescents, and their caregivers have the potential to yield more equitable health care IT, and better outcomes for our young patients.

Background and objectives: Continuous pulse oximetry (oxygen saturation [Spo2]) monitoring in hospitalized children with bronchiolitis not requiring supplemental oxygen is discouraged by national guidelines, but determining monitoring status accurately requires in-person observation. Our objective was to determine if electronic health record (EHR) data can accurately estimate the extent of actual Spo2 monitoring use in bronchiolitis. Methods: This repeated cross-sectional study included infants aged 8 weeks through 23 months hospitalized with bronchiolitis. In the validation phase at 3 children's hospitals, we calculated the test characteristics of the Spo2 monitor data streamed into the EHR each minute when monitoring was active compared with in-person observation of Spo2 monitoring use. In the application phase at 1 children's hospital, we identified periods when supplemental oxygen was administered using EHR flowsheet documentation and calculated the duration of Spo2 monitoring that occurred in the absence of supplemental oxygen. Results: Among 668 infants at 3 hospitals (validation phase), EHR-integrated Spo2 data from the same minute as in-person observation had a sensitivity of 90%, specificity of 98%, positive predictive value of 88%, and negative predictive value of 98% for actual Spo2 monitoring use. Using EHR-integrated data in a sample of 317 infants at 1 hospital (application phase), infants were monitored in the absence of oxygen supplementation for a median 4.1 hours (interquartile range 1.4-9.4 hours). Those who received supplemental oxygen experienced a median 5.6 hours (interquartile range 3.0-10.6 hours) of monitoring after oxygen was stopped. Conclusions: EHR-integrated monitor data are a valid measure of actual Spo2 monitoring use that may help hospitals more efficiently identify opportunities to deimplement guideline-inconsistent use.

Background and objectives: Physiologic monitor alarms occur at high rates in children's hospitals; ≤1% are actionable. The burden of alarms has implications for patient safety and is challenging to measure directly. Nurse workload, measured by using a version of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) validated among nurses, is a useful indicator of work burden that has been associated with patient outcomes. A recent study revealed that 5-point increases in the NASA-TLX score were associated with a 22% increased risk in missed nursing care. Our objective was to measure the relationship between alarm count and nurse workload by using the NASA-TLX. Methods: We conducted a repeated cross-sectional study of pediatric nurses in a tertiary care children's hospital to measure the association between NASA-TLX workload evaluations (using the nurse-validated scale) and alarm count in the 2 hours preceding NASA-TLX administration. Using a multivariable mixed-effects regression accounting for nurse-level clustering, we modeled the adjusted association of alarm count with workload. Results: The NASA-TLX score was assessed in 26 nurses during 394 nursing shifts over a 2-month period. In adjusted regression models, experiencing >40 alarms in the preceding 2 hours was associated with a 5.5 point increase (95% confidence interval 5.2 to 5.7; P < .001) in subjective workload. Conclusion: Alarm count in the preceding 2 hours is associated with a significant increase in subjective nurse workload that exceeds the threshold associated with increased risk of missed nursing care and potential patient harm.