Fang, Jennifer L.

BACKGROUND Discharge from the NICU is a highly complex process. Multidisciplinary survey results and chart audits identified gaps in the timeliness and efficiency of discharge in our NICU. Using the define-measure-analyze-improve-control quality improvement framework, we aimed to increase the percentage of patients discharged before 11:00 am from a baseline mean of 9.4% to 50% without adversely impacting caregiver readiness to discharge. METHODS We used a fishbone diagram to identify causes of late and inefficient NICU discharge. A Pareto chart and Impact-Effort matrix were used to select targets for improvement efforts. Plan-do-study-act (PDSA) cycles established a goal unit discharge time, created a discharge checklist, prioritized rounding on discharging patients, set expectations for caregiver education completion, and increased nurse knowledge and comfort with providing caregiver education. RESULTS The mean percent of patients discharged before 11:00 am increased from 9.4% to 52.4%, exceeding our aim. Median discharge time improved from 13:30 pm to 11:15 am (P < .001). Discharge was more efficient as demonstrated by significantly earlier completion of many discharge tasks. These improvements did not adversely impact reported caregiver readiness to discharge (75% vs 77%, P = .76). CONCLUSIONS Quality improvement methods can significantly improve the timeliness and efficiency of NICU discharge. Improvement in this complex process may be facilitated by a multidisciplinary team that offers diverse perspectives, unique process and methodologic knowledge, and the ability to appeal to all unit stakeholders. Lessons learned from this project may benefit other teams working to improve their ICU discharge process.

Introduction: Teleneonatology (TN) allows remote neonatologists to provide real-time audio-video telemedicine support to community hospitals when neonates require advanced resuscitation or critical care. Currently, there are no published economic evaluations of U.S. TN programs. Objective: To evaluate the cost of TN from the perspective of the health care system. Methods: We constructed a decision tree comparing TN to usual care for neonates born in hospitals without a neonatal intensive care unit (NICU) who require consultation. Our outcome of interest was total cost per patient, which included the incremental cost of a TN program, the cost of medical transport, and the cost of NICU or non-NICU hospitalization. We performed threshold sensitivity analyses where we varied each parameter to determine whether the base-case finding reverted. Results: For neonates requiring consultation after birth in a hospital without a NICU, TN was less costly ($16,878) than usual care ($28,047), representing a cost-savings of $11,168 per patient. Sensitivity analyses demonstrated that at least one of the following conditions would need to be met for TN to no longer be cost saving compared to usual care: transfer rate with usual care <12% (base-case = 82%), TN reducing the odds of transfer by <8% (base-case = 52%), or TN cost exceeding $12,989 per patient (base-case = $1,821 per patient). Conclusions: Economic modeling from the health system perspective demonstrated that TN was cost saving compared to usual care for neonates requiring consultation following delivery in a non-NICU hospital. Understanding the cost savings associated with TN may influence organizational decisions regarding implementation, diffusion, and retention of these programs.

Background/Aims: Clinical trials evaluating facility-to-facility telemedicine may include sites that have limited research experience. For the trial to be successful, these sites must correctly perform research-related tasks. This study aimed to determine whether health care professionals at community hospitals could accurately identify simulated study eligible patients and submit data to a research coordinating center. Methods: Twenty-seven community hospitals in the United States and Canada participated in this study. An electronic survey was sent to one designated health care professional at each site. The survey included a description of trial eligibility criteria and five written neonatal resuscitation scenarios. For each scenario, the participant determined whether the neonate was study eligible. One scenario required participants to submit 14 data elements to the coordinating center. Accuracy of study eligibility and data submission was summarized using standard descriptive statistics. Results: The survey response rate was 100% (27/27). Overall accuracy in determining study eligibility was 89% (120/135), and accuracy varied across the five scenarios (range 82–93%). Overall accuracy of data submission was 92% (310/336). Data were >95% accurate for 9 of the 14 data elements, with 100% accuracy achieved for 6 data elements. These results were used to clarify eligibility criteria, inform database design, and improve training materials for the subsequent clinical trial. Conclusions: Health care professionals at community hospitals accurately determined trial eligibility and submitted study data based on written clinical scenarios. Research teams conducting telemedicine trials with community hospitals should consider completing pre-trial simulation activities to identify opportunities for improving trial processes and materials.

Objective We aimed to measure provider perspectives on the acceptability, appropriateness, and feasibility of teleneonatology in neonatal intensive care units (NICUs) and community hospitals. Study Design Providers from five academic tertiary NICUs and 27 community hospitals were surveyed using validated implementation measures to assess the acceptability, appropriateness, and feasibility of teleneonatology. For each of the 12 statements, scale values ranged from 1 to 5 (1 = strongly disagree; 5 = strongly agree), with higher scores indicating greater positive perceptions. Survey results were summarized, and differences across respondents assessed using generalized linear models. Results The survey response rate was 56% (203/365). Respondents found teleneonatology to be acceptable, appropriate, and feasible. The percent of respondents who agreed with each of the twelve statements ranged from 88.6 to 99.0%, with mean scores of 4.4 to 4.7 and median scores of 4.0 to 5.0. There was no difference in the acceptability, appropriateness, and feasibility of teleneonatology when analyzed by professional role, years of experience in neonatal care, or years of teleneonatology experience. Respondents from Level I well newborn nurseries had greater positive perceptions of teleneonatology than those from Level II special care nurseries. Conclusion Providers in tertiary NICUs and community hospitals perceive teleneonatology to be highly acceptable, appropriate, and feasible for their practices. The wide acceptance by providers of all roles and levels of experience likely demonstrates a broad receptiveness to telemedicine as a tool to deliver neonatal care, particularly in rural communities where specialists are unavailable. Key Points

Objective We aimed to measure provider perspectives on the acceptability, appropriateness, and feasibility of teleneonatology in neonatal intensive care units (NICUs) and community hospitals. Study Design Providers from five academic tertiary NICUs and 27 community hospitals were surveyed using validated implementation measures to assess the acceptability, appropriateness, and feasibility of teleneonatology. For each of the 12 statements, scale values ranged from 1 to 5 (1 = strongly disagree; 5 = strongly agree), with higher scores indicating greater positive perceptions. Survey results were summarized, and differences across respondents assessed using generalized linear models. Results The survey response rate was 56% (203/365). Respondents found teleneonatology to be acceptable, appropriate, and feasible. The percent of respondents who agreed with each of the twelve statements ranged from 88.6 to 99.0%, with mean scores of 4.4 to 4.7 and median scores of 4.0 to 5.0. There was no difference in the acceptability, appropriateness, and feasibility of teleneonatology when analyzed by professional role, years of experience in neonatal care, or years of teleneonatology experience. Respondents from Level I well newborn nurseries had greater positive perceptions of teleneonatology than those from Level II special care nurseries. Conclusion Providers in tertiary NICUs and community hospitals perceive teleneonatology to be highly acceptable, appropriate, and feasible for their practices. The wide acceptance by providers of all roles and levels of experience likely demonstrates a broad receptiveness to telemedicine as a tool to deliver neonatal care, particularly in rural communities where specialists are unavailable. Key Points

Background: Before the COVID-19 pandemic, telemedicine use for outpatient pediatric specialty care was low. Stay-at-home orders (SHO) prompted rapid upscaling of telemedicine capabilities and upskilling of providers. This study compares telemedicine usage before and after the SHO and analyzes how a Children's Center addressed challenges associated with a rapid rise in telemedicine. Methods: Data on outpatient visits across 14 specialty divisions were abstracted from the institutional electronic medical record. The 12-week study period (March 9, 2020–May 29, 2020) spanned three epochs: pre-SHO; post-SHO; reopening to in-person visits. Changes in in-person visits, video visits, and completed, cancelled, and no-show appointments were compared between three epochs. Results: A total of 4,914 outpatient pediatric specialty visits were completed, including 67% (3,296/4,914) in-person and 33% (1,618/4,914) through video. During the first two epochs encompassing the SHO, video visits increased by 4,750%. During the third epoch when the SHO was lifted, video visits decreased by 66%, with 19.4% of visits conducted through video in week 12. Overall, for outpatient video appointments, 82.8% (1,618/1,954) were completed, 9.1% (178/1,954) were cancelled, and 8.1% (158/1,954) were no-shows. The percentage of completed and no-show appointments did not differ between epochs. However, the cancellation rate decreased significantly from Epochs 1 to 3 (p = 0.008). Conclusion: A SHO was associated with a large increase in pediatric specialty video visits. Post-SHO, the percentage of pediatric specialty visits conducted through video decreased but remained higher than before the SHO. Frequent, content-rich communications, self-directed tutorials, and individualized coaching may facilitate successful increases in telemedicine use.