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Below are articles that support specific interventions to advance MCH National Performance Measures (NPMs) and Standardized Measures (SMs). Most interventions contain multiple components as part of a coordinated strategy/approach.

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Displaying records 1 through 8 (8 total).

Bronstein JM, Ounpraseuth S, Jonkman J, et al. Improving perinatal regionalization for preterm deliveries in a Medicaid covered population: initial impact of the Arkansas ANGELS intervention. Health Serv Res. 2011;46(4):1082-1103.

Evidence Rating: Moderate Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PATIENT/CONSUMER, Access to Provider through Hotline, HOSPITAL, Continuing Education of Hospital Providers, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Maternal/In-Utero Transport Systems, STATE, Policy/Guideline (State), Consultation Systems (Inter-Hospital Systems), Consultation Systems (Hospital), Telemedicine Systems (Inter-Hospital Systems), Telemedicine Systems (Hospital)

Intervention Description: To examine the factors associated with delivery of preterm infants at neonatal intensive care unit (NICU) hospitals in Arkansas during the period 2001–2006, with a focus on the impact of a Medicaid supported intervention, Antenatal and Neonatal Guidelines, Education, and Learning System (ANGELS), that expanded the consulting capacity of the academic medical center's maternal fetal medicine practice.

Intervention Results: Perceived risk, age, education, and prenatal care characteristics of women affected the likelihood of use of the NICU. The perceived availability of local expertise was associated with a lower likelihood that preterm infants would deliver at the NICU. ANGELS did not increase the overall use of NICU, but it did shift some deliveries to the academic setting.

Conclusion: Perinatal regionalization is the consequence of a complex set of provider and patient decisions, and it is difficult to alter with a voluntary program.

Study Design: Time trend analysis

Setting: All Arkansas hospitals Five level III hospitals from 2001- 2005, six in 2006

Population of Focus: Infants born at <35 weeks GA

Data Source: Data from Medicaid claims for pregnancy linked to birth certificates for women covered by Medicaid in Arkansas

Sample Size: Total (n= 5,150) 2001 (n= 812) 2002 (n= 1,105) 2003 (n= 824) 2004 (n= 824) 2005 (n= 887) 2006 (n= 698) Infants born at <35 weeks GA

Age Range: Not specified

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Carlton, K., Adams, S., Fischer, E., Foy, A., Heffelfinger, A., Jozwik, J., Kim, I., Koop, J., Miller, L., Stibb, S., & Cohen, S. (2023). HOPE and DREAM: A Two-Clinic NICU Follow-up Model. American journal of perinatology, 10.1055/a-2053-7513. Advance online publication. https://doi.org/10.1055/a-2053-7513

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): Development/Improvement of Services, Needs Assessment, Consultation Systems (Hospital), HOSPITAL, Reorganization of Neonatal Services, NATIONAL

Intervention Description: The natural extension of inpatient-focused neonatal neurocritical care (NNCC) programs is the evaluation of long-term neurodevelopmental outcomes in the same patient population.

Intervention Results: To achieve this goal, we devised a two-clinic follow-up model at Children's Wisconsin: HOPE (Healthy Outcomes Post-ICU Engagement) and DREAM: Developmentally Ready: Engagement for Achievement of Milestones) clinics. Those infants with significant neurologic diagnoses attend DREAM clinic, while all other high-risk neonatal intensive care unit (NICU) infants are seen in the HOPE clinic.

Conclusion: These clinic models allow for a targeted approach to post-NICU care, which has improved family engagement and perceptions of value.

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Hall RW, Hall-Barrow J, Garcia-Rill E. Neonatal regionalization through telemedicine using a community-based research and education core facility. Ethn Dis. 2010;20(1 0 1):S1-136-140.

Evidence Rating: Moderate Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PATIENT/CONSUMER, Access to Provider through Hotline, HOSPITAL, Continuing Education of Hospital Providers, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Maternal/In-Utero Transport Systems, Consultation Systems (Inter-Hospital Systems), Consultation Systems (Hospital), Telemedicine Systems (Inter-Hospital Systems), Telemedicine Systems (Hospital), STATE, Policy/Guideline (State)

Intervention Description: Telemedicine has been used successfully for medical care and education but it has never been utilized to modify patterns of delivery in an established state network.

Intervention Results: Medicaid deliveries at the regional perinatal centers increased from 23.8% before the intervention to 33% in neonates between 500 and 999 grams (p<0.05) and was unchanged in neonates between 2001-2500 grams.

Conclusion: Telemedicine is an effective way to translate evidence based medicine into clinical care when combined with a general educational conference. Patterns of deliveries appear to be changing so that those newborns at highest risk are being referred to the regional perinatal centers.

Study Design: Time trend analysis

Setting: All Arkansas hospitals

Population of Focus: Infants born weighing 500-2499 gm. Data not given for other study years.

Data Source: Data from Arkansas Vital Statistics Data System linked with corresponding hospitalization records from Arkansas Hospital Discharge Data System.

Sample Size: Total (n= 12,258) 2001 (n= 2,965) 2004 (n= 3,154)

Age Range: Not specified

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Hoekstra R, Fangman, J., Perkett, E., Brasel, D., & Knox, G.E. Regionalization of Perinatal Care: Results of a Cooperative Community Based Program. Minn Med. 1981;64(10):637-640.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): HOSPITAL, Continuing Education of Hospital Providers, Peer-Review of Provider Decisions, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Maternal/In-Utero Transport Systems, Consultation Systems (Inter-Hospital Systems), Consultation Systems (Hospital), Agreement for Level III Hospital to Accept All Patients, Medical Staff Integration

Intervention Description: Not available

Intervention Results: After the intervention, there was a statistically significant decrease in the number of VLBW infants born in a level II hospital (p<0.01).

Conclusion: Not available

Study Design: QE: pretest-posttest

Setting: Minnesota: Abbott-Northwestern/ Minneapolis Children’s Perinatal Center and Fairview-Southdale Hospital (Level II)

Population of Focus: All births at level II hospital

Data Source: Data source not provided.

Sample Size: Pretest (n= 2,573) Posttest (n= 2,722)

Age Range: Not specified

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Kim EW, Teague-Ross TJ, Greenfield WW, Keith Williams D, Kuo D, Hall RW. Telemedicine collaboration improves perinatal regionalization and lowers statewide infant mortality. J Perinatol. 2013;33(9):725-730.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): Transition Assistance, PATIENT/CONSUMER, HOSPITAL, Continuing Education of Hospital Providers, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Neonatal Back-Transport Systems, Consultation Systems (Inter-Hospital Systems), Consultation Systems (Hospital), Telemedicine Systems (Inter-Hospital Systems), Telemedicine Systems (Hospital)

Intervention Description: Assessed a telemedicine (TM) network's effects on decreasing deliveries of very low birth weight (VLBW, <1500 g) neonates in hospitals without Neonatal Intensive Care Units (NICUs) and statewide infant mortality.

Intervention Results: Deliveries of VLBW neonates in targeted hospitals decreased from 13.1 to 7.0% (P=0.0099); deliveries of VLBW neonates in remaining hospitals were unchanged. Mortality decreased in targeted hospitals (13.0% before TM and 6.7% after TM). Statewide infant mortality decreased from 8.5 to 7.0 per 1000 deliveries (P=0.043).

Conclusion: TM decreased deliveries of VLBW neonates in hospitals without NICUs and was associated with decreased statewide infant mortality.

Study Design: QE: pretest-posttest

Setting: All Arkansas hospitals (Nine selected as telemedicine hospitals due to high patient volume)

Population of Focus: Infants born weighing <1500 gm

Data Source: Medicaid data for VLBW infants as indicated by ICD-9 diagnosis codes from hospital and physician claims for pregnancy. Data infant with birth and infant death certificates.

Sample Size: Pretest (n= 383) Posttest (n= 384)

Age Range: Not specified

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McCormick MC, Shapiro S, Starfield BH. The regionalization of perinatal services. Summary of the evaluation of a national demonstration program. JAMA. 1985;253(6):799-804.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): HOSPITAL, Development/Improvement of Services, Continuing Education of Hospital Providers, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Maternal/In-Utero Transport Systems, Consultation Systems (Inter-Hospital Systems), Consultation Systems (Hospital), STATE, Policy/Guideline (State), Funding Support

Intervention Description: This report summarizes the evaluation of a national demonstration program of such regionalization that was funded by the Robert Wood Johnson Foundation (RWJF) in 1975.

Intervention Results: In both funded regions and comparison areas, the neonatal mortality rates decreased sharply over the decade of the 1970s. This decline was linked to shifts in the hospital of delivery that indicated antepartum risk identification and transfer of management of high-risk pregnancies to tertiary centers for delivery, a change in service pattern consistent with some aspects of regionalization. The centralization of high-risk deliveries appeared so widespread that the special effect of the RWJF program could not be detected.

Conclusion: Surveys of surviving 1-year-old infants showed that the decrease in neonatal mortality was accompanied by a decrease in selected morbidity.

Study Design: QE: pretest-posttest nonequivalent control group

Setting: Eight regions and eight comparison regions

Population of Focus: Infants born weighing ≤1500

Data Source: Data from reproduced computer tapes of births and matched infant death and birth certificates obtained from state and local health offices in several states.

Sample Size: Intervention group: Pretest (n≈ 4080) Intervention (n≈ 3416) Posttest: (n≈ 4033) Comparison: Pretest: (n≈ 5221) Intervention: (n≈ 4297) Posttest: (n≈ 4596)

Age Range: Not specified

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Petitgout, J. M., Werner, J. L., & Stewart, S. (2021). Pediatric Complexity Tool Best Practice Alert: Early Identification of Care Coordination for Children with Special Health Care Needs. Journal of Pediatric Health Care, 35(5), 485–490. https://doi.org/10.1016/j.pedhc.2021.04.010

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): Care Coordination, Consultation Systems (Hospital), Quality Improvement,

Intervention Description: For more efficient and timelier enrollment into our care coordination program, we created a best practice alert within our electronic medical record to help overcome the challenges in timely identification of CSHCN. The best practice alert has helped us to provide care coordination benefits to our patients earlier in their hospital course. The purpose of this paper is to describe a quality improvement initiative to improve the early identification of CSHCN on hospital admission through the development of a best practice alert.

Intervention Results: The BPA was turned on in May of 2020. The BPA fired 259 times between May 2020 and February 2021. Of the total BPA activations, 22% (57) were accepted by a provider and resulted in a consult for care coordination. On further evalua- tion of the 22% compliant with accepting the BPA, we discovered that many providers were choosing to “snooze” the order or were writing in a comment stating that COC is not applicable for this patient. If the admitting physician “snoozes” the order, this merely suppresses the BPA for that specific provider for 1 hr. If any other providers enter the EMR during that same hour, they are presented with the BPA. If no other providers are in the chart and 1-hr passes, the original provider will see the BPA again once they sign into the patient’s EMR. There is currently no limit to the num- ber of times a BPA can be “snoozed” by a provider. Our aim to achieve timely identification of CSHCN who may benefit from care coordination on admission was only partially met. Compliance of 22% of successful consults for COC after BPA activation suggests an opportunity for improvement in this process. In addition to providing more focused educational opportunities about the importance and benefits of the BPA, discussions with providers to learn about their reasons for not accepting the BPA also needs to occur. Evaluation of the timing of the BPA, number of times allowed to “snooze,” and other operational characteristics of the workflow will be evaluated. We will persist with a goal of initiating care coordination for > 50% of the CSHCN who meet the criteria on admission. Further improvements will be made to reach our quality improvement project goal to expedite care coordination and improve care for CSHCN during the hospital admission process. This quality improvement process which enhanced our current pediatric complexity tool to better identify CSHCN on admission who may require care coordination services through the development of a BPA, will continue to need refinement and evaluation over time. Further development and evaluation of the workbench reports will assist us in understanding additional benefits to connecting appropriate patients with care coordination. For example, analysis of timely enrollment into the program and readmission rate within 30 days is an important aspect to track. Ongoing evaluation and fine-tuning will help identify additional gaps in our care coordination system.

Conclusion: Classifying children with complex medical conditions according to the level of complexity can be complicated. Although experienced care coordination programs may be able to identify some patients who would benefit from these services, creating a complexity tool with a BPA in the EMR is helping a Midwestern children’s hospital streamline the process to increase sensitivity and specificity for CSHCN. Despite the tool’s limitations and the potential need for ongoing revisions, the usage of complexity tools and BPAs will become critical to target pediatric patient populations that have high usage of resources and services requiring the need for care coordination ongoing. Creating and imple- menting new ways to assist with the early identification of CSHCN requires new and innovative thinking to help achieve more comprehensive, individualized, and focused care. CSHCN requires focused care coordination now and in the future. With further development of care coordination programs across the country and the development of identi- fication tools, including BPAs, we would hope to see a more streamlined connection for successful care coordination services for CSHCN. The traditional systems of care may not be fully meeting the needs of CSHCN. The coexistence of a care coordination program with a complexity tool to include a BPA for enrollment is an approach that is impor- tant in capturing the need for early services. The creation of this coexistence is essential for enhancing outcomes and providing a smooth transition from hospital to home. By identifying this specific patient population on admission, navigation of a complex and ever-changing medical system with the assistance of a care coordinator earlier can help maintain our commitment to improving the health and well- being of CSHCN. CSHCN at our children’s hospital continues to benefit from COC and the care coordination team. The BPA is successful at identifying the potential beneficiaries of care coordination at an early stage, as identified by our recent audit; however, we will need to continue to refine the pro- cess. In addition, there will always be a need for the contin- ued presence of care coordinators at daily medical rounds and huddles to provide that consistent assessment and abil- ity to identify CSHCN who may not be acknowledged by an automated process. The definition of CSHCN is ever-chang- ing as well, and opportunities and strategies to identify those who will most benefit from care coordination will continue to evolve.

Study Design: The provided document does not explicitly state a study design for the quality improvement initiative described. The document describes the implementation of the initiative, the outcomes, and the ongoing evaluation and refinement of the process. Therefore, the study design is likely a quality improvement initiative or program evaluation, rather than a traditional research study with a specific study design.

Setting: The study was conducted at the University of Iowa Stead Family Children's Hospital in Iowa City, IA. The setting for the study was within the Care Coordination Division and Department of Nursing at the children's hospital.

Population of Focus: The target audience for the study is healthcare providers and administrators who work with children with special health care needs (CSHCN) in hospital settings.

Sample Size: The provided document does not explicitly state a sample size for the study. However, it does say that the best practice alert (BPA) tool (i.e. the intervention) was turned on in May of 2020 and fired 259 times between May 2020 and February 2021. Of the total BPA activations, 22% (57) were accepted by a provider and resulted in a consult for care coordination.

Age Range: The document does not explicitly mention a specific age range for the study. However, it does indicate that the BPA looks for required elements in the patient’s EMR on admission, and that one of the elements that trigger an inpatient BPA to fire included aged ≤ 18 years.

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Spencer, A. E., Chiang, C., Plasencia, N., Biederman, J., Sun, Y., Gebara, C., MGH Chelsea HealthCare Center, Jellinek, M., Murphy, J. M., & Zima, B. T. (2019). Utilization of Child Psychiatry Consultation Embedded in Primary Care for an Urban, Latino Population. Journal of health care for the poor and underserved, 30(2), 637–652. https://doi.org/10.1353/hpu.2019.0047

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): Consultation Systems (Hospital), Assessment,

Intervention Description: The intervention in the study involved embedded child psychiatry consultation in primary care for an urban, largely Latino population. This model aimed to provide timely access to child psychiatry expertise within the primary care setting. The consultation psychiatrist worked collaboratively with pediatricians to address diagnostic or treatment questions, provide recommendations for management, and facilitate the transition of care back to the primary care setting. The intervention was designed to be a short-term intervention with planned transition back to primary care and ongoing collaboration as needed. The study assessed the feasibility and effectiveness of this intervention in improving access to mental health care for the target population.,

Intervention Results: Seventy-four percent of patients completed an evaluation. Younger children (p=.0397) and those with a history of therapy (p=.0077) were more likely to make initial contact. The markers of clinical need included PSC-35 Global Scores (p=.0027) and number of psychiatric diagnoses (p=.0178) predicted number of visits.

Conclusion: Yes, the study found several statistically significant findings. The Poisson regression analysis showed that patients' PSC Global Scores, positive PSC Global Score, number of PSC subscale elevations, and number of diagnoses significantly predicted the number of visits with the embedded child psychiatrist. Patients with higher PSC Global Scores, positive PSC Global Scores, more PSC subscale elevations, and more psychiatric diagnoses had a higher rate of follow-up visits with the embedded child psychiatrist. Additionally, the study found that almost 75% of referred children were seen for an evaluation, which is higher than published estimates of initial connection to subspecialty mental health in similar populations.,

Study Design: The study design was a retrospective chart review, which involved analyzing data from electronic medical records to assess the utilization of child psychiatry consultation embedded in primary care for an urban, Latino population. This type of study design is commonly used to examine healthcare utilization and outcomes based on existing patient records.

Setting: The study was conducted at the MGH Chelsea HealthCare Center, which is a community health center serving an urban, disadvantaged, Latino population.

Population of Focus: The target audience for the study includes healthcare professionals, researchers, and policymakers interested in improving access to mental health services for urban, Latino populations, particularly for children and adolescents.

Sample Size: The sample size for the study was fairly large, with 211 patients included in the analysis. This allowed for a robust examination of the utilization of child psychiatry consultation embedded in primary care for the urban, largely Latino and non-English speaking population.

Age Range: The age group of the patients in this study is 3-18 years old.

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The MCH Digital Library is one of six special collections at Geogetown University, the nation's oldest Jesuit institution of higher education. It is supported in part by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under award number U02MC31613, MCH Advanced Education Policy with an award of $700,000/year. The library is also supported through foundation and univerity funding. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.