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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 24 (24 total).

Barry S, Paul K, Aakre K, Drake-Buhr S, Willis R. Final Report: Developmental and Autism Screening in Primary Care. Burlington, VT: Vermont Child Health Improvement Program; 2012.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Educational Material (Provider), Participation Incentives, Quality Improvement/Practice-Wide Intervention, Expert Support (Provider), Modified Billing Practices, Data Collection Training for Staff, Screening Tool Implementation Training, Office Systems Assessments and Implementation Training, Expert Feedback Using the Plan-Do-Study-Act-Tool, Collaboration with Local Agencies (State), Collaboration with Local Agencies (Health Care Provider/Practice), Engagement with Payers, STATE, POPULATION-BASED SYSTEMS, Audit/Attestation, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider)

Intervention Description: The Vermont Child Health Improvement Program (VCHIP) at the University of Vermont collaborated with state agencies and professional societies to conduct a survey of Vermont pediatric and family medicine practices regarding their developmental screening and autism screening processes, referral patterns, and barriers. The survey was administered in 2009 to 103 primary care practices, with a 65% response rate (89% for pediatric practices, 53% for family medicine practices).

Intervention Results: The survey results revealed that while 88% of practices have a specific approach to developmental surveillance and 87% perform developmental screening, only 1 in 4 use structured tools with good psychometric properties. Autism screening was performed by 59% of practices, with most using the M-CHAT or CHAT tool and screening most commonly at the 18-month visit. When concerns were identified, 72% referred to a developmental pediatrician and over 50% to early intervention. Key barriers to both developmental and autism screening were lack of time, staff, and training. Over 80% of practices used a note in the patient chart to track at-risk children, and most commonly referred to child development clinics, audiology, early intervention, and pediatric specialists.

Conclusion: The survey conducted by VCHIP revealed wide variation in developmental and autism screening practices among Vermont pediatric and family medicine practices. While most practices conduct some form of screening, there is room for improvement in the use of validated tools, adherence to recommended screening ages, and implementation of office systems for tracking at-risk children. The survey identified knowledge gaps and barriers that can be addressed through quality improvement initiatives, which most respondents expressed interest in participating in.

Study Design: QE: pretest-posttest

Setting: Pediatric and family medicine practices in Vermont

Population of Focus: Children up to age 3

Data Source: Child medical record; ProPHDS Survey

Sample Size: Chart audits at 37 baseline and 35 follow-up sites (n=30 per site) Baseline charts (n=1381) - Children 19-23 months (n=697) - Children 31-35 months (n=684) Follow-up charts (n=1301) - Children 19-23 months (n=646) - Children 31-35 months (n=655)

Age Range: Not specified

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Berger-Jenkins, E., Monk, C., D’Onfro, K., Sultana, M., Brandt, L., Ankam, J., ... & Meyer, D. (2019). Screening for both child behavior and social determinants of health in pediatric primary care. Journal of developmental and behavioral pediatrics: JDBP, 40(6), 415.

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): Quality Improvement/Practice-Wide Intervention, HEALTH_CARE_PROVIDER_PRACTICE, Data Collection Training for Staff , Provider Training/Education, Audit/Attestation (Provider)

Intervention Description: Quality improvement (QI) methodology was used to implement routine screening using an adapted version of the Survey of Well Being of Young Children (SWYC), a child behavior and social screen, for all children ages 6 months to 10 years. Rates of screen administration and documentation were assessed for 18 months. Medical records of a convenience sample (N=349) were reviewed to track referrals and follow-up for positive screens.

Intervention Results: Over 18 months, 2028 screens were administered. Screening rates reached 90% after introducing a tablet for screening. Provider documentation of screens averaged 62%. In the convenience sample, 28% scored positive for a behavioral problem, and 25% reported at least 1 social stressor. Of those with positive child behavior or social stressor screens, approximately 80% followed up with their primary medical doctor, and approximately 50% completed referrals to the clinic social worker. Further analysis indicated that referral and follow-up rates varied depending on whether the family identified child behavior or social issues. Logistic regression revealed that parental concern was independently associated with child behavior symptoms (p = 0.001) and social stressors (p = 0.002).

Conclusion: Implementing a comprehensive psychosocial screen is feasible in pediatric primary care and may help target referrals to address psychosocial health needs.

Setting: Community health center

Population of Focus: Primary care peditricians

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Earls MF, Hay SS. Setting the stage for success: implementation of developmental and behavioral screening and surveillance in primary care practice--the North Carolina Assuring Better Child Health and Development (ABCD) Project. Pediatrics. 2006;118(1):e183-188.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Educational Material (Provider), Expert Support (Provider), Participation Incentives, Modified Billing Practices, Data Collection Training for Staff, Screening Tool Implementation Training, Office Systems Assessments and Implementation Training, Expert Feedback Using the Plan-Do-Study-Act-Tool, Collaboration with Local Agencies (State), Collaboration with Local Agencies (Health Care Provider/Practice), Engagement with Payers, STATE, POPULATION-BASED SYSTEMS, Audit/Attestation, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider)

Intervention Description: Early identification of children with developmental and behavioral delays is important in primary care practice, and well-child visits provide an ideal opportunity to engage parents and perform periodic screening. Integration of this activity into office process and flow is necessary for making screening a routine and consistent part of primary care practice.

Intervention Results: In the North Carolina Assuring Better Child Health and Development Project, careful attention to and training for office process has resulted in a significant increase in screening rates to >70% of the designated well-child visits. The data from the project prompted a change in Medicaid policy, and screening is now statewide in primary practices that perform Early Periodic Screening, Diagnosis, and Treatment examinations.

Conclusion: Although there are features of the project that are unique to North Carolina, there are also elements that are transferable to any practice or state interested in integrating child development services into the medical home.

Study Design: QE: pretest-posttest

Setting: Partnership for Health Management, a network within Community Care of North Carolina

Population of Focus: Children ages 6 to 60 months receiving Early Periodic Screening, Diagnosis, and Treatment services

Data Source: Child medical record

Sample Size: Unknown number of charts – screening rates tracked in 2 counties (>20,000 screens by 2004)

Age Range: Not specified

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Erlick, M., Fioravanti, I. D., Yaeger, J., Studwell, S., & Schriefer, J. (2021). An Interprofessional, Multimodal, Family-Centered Quality Improvement Project for Sleep Safety of Hospitalized Infants. Journal of patient experience, 8, 23743735211008301. https://doi.org/10.1177/23743735211008301

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Training/Education, Educational Material (provider), Audit/Attestation (provider), PROFESSIONAL_CAREGIVER, Education/Training (caregiver), HOSPITAL, Quality Improvement, Crib Card

Intervention Description: This quality improvement project used an interprofessional, multimodal approach to improve sleep safety for hospitalized infants. The working group for this project included the Director of Quality Improvement for the Department of Pediatrics, a Pediatric Hospitalist, a Senior Advanced Practice Nurse in Pediatrics, Senior Associate Counsel for the Office of Counsel, and a medical student with a background in social work. The interdisciplinary group met to review and discuss improvements to communication and facilitated the development of five family interventions: a designated safe sleep web page, a clear bedside guide to safe sleep, additional training for nursing staff in motivational interviewing, a card audit system, and electronic health record smart phrases. A short survey was conducted to assess how the safe sleep toolkit has been useful to care providers in the Children’s Hospital. 

Intervention Results: With the initial pilot implementation of the K-cards, staff reported increased ease of audits. Adherence to recommended safer sleep measures was a major barrier in previous attempts to improve institutional sleep safety (1). By making adherence easier, providers may be more likely to both participate in quality improvement tracking measures and follow-up with families directly.

Conclusion: These coordinated interventions reflect advantages of an interprofessional and family-centered approach: building rapport and achieving improvements to infant sleep safety.

Setting: Golisano Children’s Hospital

Population of Focus: Hospital healthcare providers

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Flower, K. B., Massie, S., Janies, K., Bassewitz, J. B., Coker, T. R., Gillespie, R. J., ... & Earls, M. F. (2020). Increasing early childhood screening in primary care through a quality improvement collaborative. Pediatrics, 146(3).

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): Quality Improvement/Practice-Wide Intervention, Office Systems Assessments And Implementation Training, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider), Data Collection Training for Staff , Provider Training/Education

Intervention Description: This 1-year national quality improvement collaborative involved 19 pediatric primary care practices. Supported by virtual and in-person learning opportunities, practice teams implemented changes to early childhood screening. Monthly chart reviews were used to assess screening, discussion, referral, and follow-up for development, ASD, maternal depression, and SDoH. Parent surveys were used to assess parent-reported screening and referral and/or resource provision. Practice self-ratings and team surveys were used to assess practice-level changes.

Intervention Results: Participating practices included independent, academic, hospital-affiliated, and multispecialty group practices and community health centers in 12 states. The collaborative met development and ASD screening goals of >90%. Largest increases in screening occurred for maternal depression (27% to 87%; +222%; P < .001) and SDoH (26% to 76%; +231%; P < .001). Statistically significant increases in discussion of results occurred for all screening areas. For referral, significant increases were seen for development (53% to 86%; P < .001) and maternal depression (23% to 100%; P = .008). Parents also reported increased screening and referral and/or resource provision. Practice-level changes included improved systems to support screening.

Conclusion: Practices successfully implemented multiple screenings and demonstrated improvement in subsequent discussion, referral, and follow-up steps. Continued advocacy for adequate resources to support referral and follow-up is needed to translate increased screening into improved health outcomes.

Setting: Pediatric primary care practices

Population of Focus: Physician leader, staff and parent partner

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Gray C, Fox K,Williamson ME. Improving Health Outcomes for Children (IHOC): First STEPS II Initiative: Improving Developmental, Autism, and Lead Screening for Children: Final Evaluation. Portland, ME: University of Southern Maine Muskie School of Public Service; 2013.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Expert Support (Provider), Modified Billing Practices, Screening Tool Implementation Training, Office Systems Assessments and Implementation Training, Expert Feedback Using the Plan-Do-Study-Act-Tool, Engagement with Payers, STATE, POPULATION-BASED SYSTEMS, Collaboration with Local Agencies (State), Collaboration with Local Agencies (Health Care Provider/Practice), HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider)

Intervention Description: This report evaluates the impact of Phase II of Maine's First STEPS initiative

Intervention Results: Average percentage of documented use of a developmental screening tool increased substantially from baseline to followup for all three age groups (46% to 97% for children under one; 22% to 71% for children 18-23 months; and 22% to 58% for children 24-35 months). Rate of developmental screening based on MaineCare claims increased from the year prior to intervention implementation to the year after implementation for all three age groups (5.3% to 17.1% for children age one; 1.5% to 13.3% for children age two; and 1.2% to 3.3% for children age 3).

Conclusion: The authors summarize lessons learned in implementing changes in practices and challenges in using CHIPRA and IHOC developmental, autism, and lead screening measures at the practice-level to inform quality improvement.

Study Design: QE: pretest-posttest

Setting: Pediatric and family practices serving children with MaineCoverage

Population of Focus: Children ages 6 to 35 months

Data Source: Child medical record; MaineCare paid claims

Sample Size: Unknown number of chart reviews from 9 practice sites completing follow-up

Age Range: Not specified

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Honigfeld L, Chandhok L, Spiegelman K. Engaging pediatricians in developmental screening: the effectiveness of academic detailing. J Autism Dev Disord. 2012;42(6):1175-1182.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation

Intervention Description: Use of formal developmental screening tools in the pediatric medical home improves early identification of children with developmental delays and disorders, including Autism Spectrum Disorders.

Intervention Results: Percentage of screening at 18-month well-child visits increased (P<.05) in all intervention practices. Average screening percentages were 70.8% for intervention practices, 46% for control practices. One intervention practice had a lower screening % than matched control practice (P=.37). Number of screens performed on the same day as a well-child visit increased from 3,442 in 2008 to 12,533 in 2009.

Conclusion: These pilot study results indicate the potential of academic detailing as an effective strategy for improving rates of developmental screening.

Study Design: QE: pretest-posttest nonequivalent control group

Setting: Pediatric and family medicine practice (5 intervention and 5 control) sites in Connecticut

Population of Focus: Children at 18-month well-child visits

Data Source: Child medical record; Medicaid claims

Sample Size: Baseline Chart Audits3 : - Intervention (n=200) - Control (n=100) Follow-Up Chart Audits: - Intervention (n=196) - Control (n=100)

Age Range: Not specified

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King TM, Tandon SD, Macias MM, et al. Implementing developmental screening and referrals: lessons learned from a national project. Pediatrics. 2010;125(2):350-360.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Educational Material (Provider), Expert Support (Provider), Participation Incentives, Quality Improvement/Practice-Wide Intervention, Data Collection Training for Staff, Screening Tool Implementation Training, Audit/Attestation, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider)

Intervention Description: To assess the degree to which a national sample of pediatric practices could implement American Academy of Pediatrics (AAP) recommendations for developmental screening and referrals, and to identify factors that contributed to the successes and shortcomings of these efforts.

Intervention Results: At the project's conclusion, practices reported screening more than 85% of patients presenting at recommended screening ages. They achieved this by dividing responsibilities among staff and actively monitoring implementation. Despite these efforts, many practices struggled during busy periods and times of staff turnover. Most practices were unable or unwilling to adhere to 3 specific AAP recommendations: to implement a 30-month visit; to administer a screen after surveillance suggested concern; and to submit simultaneous referrals both to medical subspecialists and local early-intervention programs. Overall, practices reported referring only 61% of children with failed screens. Many practices also struggled to track their referrals. Those that did found that many families did not follow through with recommended referrals.

Conclusion: A diverse sample of practices successfully implemented developmental screening as recommended by the AAP. Practices were less successful in placing referrals and tracking those referrals. More attention needs to be paid to the referral process, and many practices may require separate implementation systems for screening and referrals.

Study Design: QE: interrupted timeseries design

Setting: Sixteen pediatric primary care practices from 15 different states

Population of Focus: Children ages 8 to 36 months at wellchild visits

Data Source: Child medical record

Sample Size: Chart audits: - Baseline and Follow-Up: (n=30) per practice in July 2006 and March 2007; total charts audited (n= 960) - Intervention period: (n=10) per practice per month for 7 months; total charts audited (n=1,120)

Age Range: Not specified

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Kuhlmann S, Ahlers-Schmidt CR, Lukasiewicz G, Truong TM. Interventions to improve safe sleep among hospitalized infants at eight children's hospitals. Hosp Pediatr. 2016;6(2):88-94.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Provision of Safe Sleep Item, HOSPITAL, Policy/Guideline (Hospital), Sleep Environment Modification, CAREGIVER, Education/Training (caregiver), Educational Material (caregiver), HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation

Intervention Description: The purpose of this study was to improve safe sleep practices for infants in nonneonatal pediatric units with implementation of specific interventions.

Intervention Results: Safe sleep was observed for 4.9% of 264 infants at baseline and 31.2% of 234 infants postintervention (P<.001). Extra blankets, the most common of unsafe items, were present in 77% of cribs at baseline and 44% postintervention. However, the mean number of unsafe items observed in each sleeping environment was reduced by >50% (P=.001).

Conclusion: Implementation of site-specific interventions seems to improve overall safe sleep in inpatient pediatric units, although continued improvement is needed. Specifically, extra items are persistently left in the sleeping environment.

Study Design: QE: pretest-posttest

Setting: Eight children’s hospitals

Population of Focus: Infants aged 0 to 6 months admitted to the general pediatric unit (excluding infants in the NICUs, PICUs, and maternal fetal units)

Data Source: Crib audit/infant observation

Sample Size: Baseline (n=234) Follow-up (n=210)

Age Range: Not specified

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Lannon CM, Flower K, Duncan P, Moore KS, Stuart J, Bassewitz J. The Bright Futures Training Intervention Project: implementing systems to support preventive and developmental services in practice. Pediatrics. 2008;122(1):e163-171.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Educational Material (Provider), Expert Support (Provider), Quality Improvement/Practice-Wide Intervention, Data Collection Training for Staff, Office Systems Assessments and Implementation Training, Expert Feedback Using the Plan-Do-Study-Act-Tool, POPULATION-BASED SYSTEMS, STATE, Collaboration with Local Agencies (State), Collaboration with Local Agencies (Health Care Provider/Practice), Audit/Attestation, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider)

Intervention Description: The objectives of this study were to assess the feasibility of implementing a bundle of strategies to facilitate the use of Bright Futures recommendations and to evaluate the effectiveness of a modified learning collaborative in improving preventive and developmental care.

Intervention Results: Office system changes most frequently adopted were use of recall/reminder systems (87%), a checklist to link to community resources (80%), and systematic identification of children with special health care needs (80%). From baseline to follow-up, increases were observed in the use of recall/reminder systems, the proportion of children's charts that had a preventive services prompting system, and the families who were asked about special health care needs. Of 21 possible office system components, the median number used increased from 10 to 15. Comparing scores between baseline and follow-up for each practice site, the change was significant. Teams reported that the implementation of office systems was facilitated by the perception that a component could be applied quickly and/or easily. Barriers to implementation included costs, the time required, and lack of agreement with the recommendations.

Conclusion: This project demonstrated the feasibility of implementing specific strategies for improving preventive and developmental care for young children in a wide variety of practices. It also confirmed the usefulness of a modified learning collaborative in achieving these results. This model may be useful for disseminating office system improvements to other settings that provide care for young children.

Study Design: QE: pretest-posttest

Setting: Primary care practices (15 at baseline, 8 at follow- up) throughout the US (9 states total), with most in the Midwest

Population of Focus: Children from birth through 21 years of age

Data Source: Child medical record

Sample Size: Unknown number of chart audits from 8 practice sites completing follow-up

Age Range: Not specified

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Leong, T., Roome, K., Miller, T., Gorbatkin, O., Singleton, L., Agarwal, M., & Lazarus, S. G. (2020). Expansion of a multi-pronged safe sleep quality improvement initiative to three children's hospital campuses. Injury epidemiology, 7(Suppl 1), 32. https://doi.org/10.1186/s40621-020-00256-z

Evidence Rating: Mixed

Intervention Components (click on component to see a list of all articles that use that intervention): HOSPITAL, Quality Improvement, Crib Card, HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Nurse/Nurse Practioner, Audit/Attestation

Intervention Description: A multi-pronged, safe sleep quality improvement initiative was introduced in three inpatient pediatric hospitals. The intervention included: 1) nursing education, 2) identification of nurse "safe sleep" champions, 3) crib cards, 4) crib audits, and 5) weekly reporting of data showing nursing unit ABC compliance via tracking boards. A pre/post analysis of infants <12 months old was performed using a convenience method of sampling. The goal was ABC compliance of ≥25% for the post-intervention period.

Intervention Results: There were 204 cribs included pre-intervention and 274 cribs post-intervention. Overall, there was not a significant change in sleep position/location (78.4 to 76.6%, p = 0.64). There was a significant increase in the percent of infants sleeping in a safe sleep environment following the intervention (5.9 to 39.8%, p < 0.01). Overall ABC compliance, including both sleep position/location and environment, improved from 4.4% pre-intervention to 32.5% post-intervention (p < 0.01). There was no significant variability between the hospitals (p = 0.71, p = 1.00).

Conclusion: The AAP's safe sleep recommendations are currently not upheld in children's hospitals, but safer sleep was achieved across three children's campuses in this study. Significant improvements were made in sleep environment and overall safe sleep compliance with this multi-pronged initiative.

Setting: Three children's hospital campuses

Population of Focus: Hospital staff

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Lutenbacher, M., Elkins, T., & Dietrich, M. S. (2022). Using Community Health Workers to Improve Health Outcomes in a Sample of Hispanic Women and Their Infants: Findings from a Randomized Controlled Trial. Hispanic health care international : the official journal of the National Association of Hispanic Nurses, 15404153221107680. Advance online publication. https://doi.org/10.1177/15404153221107680

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): PROFESSIONAL_CAREGIVER, Education/Training (caregiver), Educational Material (caregiver), HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Home Visit (caregiver), Audit/Attestation

Intervention Description: The Maternal Infant Health Outreach Worker (MIHOW) program is an early-childhood home visiting program that uses community health workers (CHWs) to improve health outcomes in underserved communities. To be a MIHOW home visitor, women must be from the target community, be of the same culture and/or language group of families served, have completed all MIHOW training, and use the MIHOW curriculum. This randomized clinical trial evaluated the impact of MIHOW’s use of CHWs on selected maternal/infant outcomes up to 15 months postpartum. All study participants received the minimal education intervention (MEI), which consisted of printed educational materials about health and child development, compared to the intervention group that also received MIHOW home visitation services. Data was collected during interviews conducted by trained data collectors who were fluent in Spanish, also spoke English, and were from the same community.

Intervention Results: Enrolled women (N = 132) were randomly assigned, with 110 women completing the study (MEI = 53; MIHOW = 57). Positive and statistically significant (p < .01) effects of MIHOW were observed on breastfeeding duration, safe sleep practices, stress levels, depressive symptoms, emotional support, referral follow through, parental confidence, and infant stimulation in the home.

Conclusion: Findings provided strong evidence of the effectiveness of MIHOW for improving health outcomes in this sample. Using trained CHWs makes programs such as MIHOW a viable option for providing services to immigrant and underserved families.

Population of Focus: Pregnant Hispanic women living in middle Tennessee

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Macklin, J. R., Bagwell, G., Denny, S. A., Goleman, J., Lloyd, J., Reber, K., Stoverock, L., & McClead, R. E. (2020). Coming Together to Save Babies: Our Institution's Quality Improvement Collaborative to Improve Infant Safe Sleep Practices. Pediatric quality & safety, 5(6), e339. https://doi.org/10.1097/pq9.0000000000000339

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Training/Education, PROFESSIONAL_CAREGIVER, Education/Training (caregiver), HOSPITAL, Quality Improvement, Promotional Event, Audit/Attestation (Provider)

Intervention Description: Physicians from various units within the hospital system created and led multidisciplinary safe sleep teams. After attending a kickoff event to learn more about infant mortality and sleep related deaths, safe sleep champions from four teams were encouraged to work with their teams to tailor interventions, both specific to the needs of their areas and to address the global aim of county-wide sleep-related death reduction. The teams collaborated and produced a hospital-wide key driver diagram, highlighting the importance of screening, family education, staff education, and hospital reporting interventions. They were encouraged to complete as many Plan-Do-Study-Act (PDSA) cycles as necessary to improve safe sleep practices in both hospital and home settings.

Intervention Results: Our teams have significantly increased compliance with safe sleep practices in the inpatient and neonatal intensive care unit settings (P < 0.01). We have also increased screening and education on appropriate safe sleep behaviors by ED and primary care providers (P < 0.01). Our county's sleep-related death rate has not significantly decreased during the collaborative.

Conclusion: Our collaborative has increased American Academy of Pediatrics-recommended safe sleep practices in our institution, and we decreased sleep-related deaths in our primary care network. We have created stronger ties to our community partners working to decrease infant mortality rates. More efforts will be needed, both within and outside of our institution, to lower our community's sleep-related death rate.

Setting: Nationwide Children’s Hospital and delivery hospitals throughout Columbus Ohio

Population of Focus: Hospital healthcare providers

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Macklin, J. R., Gittelman, M. A., Denny, S. A., Southworth, H., & Arnold, M. W. (2019). The EASE Project Revisited: Improving Safe Sleep Practices in Ohio Birthing and Children's Hospitals. Clinical pediatrics, 58(9), 1000–1007. https://doi.org/10.1177/0009922819850461

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Audit/Attestation (provider), PROFESSIONAL_CAREGIVER, Education/Training (caregiver), HOSPITAL, Quality Improvement

Intervention Description: This study evaluates a quality improvement program to improve compliance with appropriate safe sleep practices in both children’s and birthing hospitals. Hospitalists from both settings were recruited to join the Ohio American Academy of Pediatrics’ EASE (Education and Sleep Environment) injury prevention collaborative to increase admitted infant safe sleep behaviors. The collaborative leadership team required hospitalist physician champions at each institution to form and lead multidisciplinary groups composed of other physicians and trainees, nursing leadership, hospital administrators, child life specialists, and other health care providers as deemed necessary. The leadership team educated participating hospital teams about safe sleep evidence-based guidelines, local statistics, quality improvement principles, and the use of Plan Do-Study-Act cycles within their institutions via interactive exercises. Multidisciplinary interventions in the areas of physician and/or nursing staff education, environmental management strategies, policy creation/revisions, and parental support and education were among the interventioned encourages. The Ohio AAP chapter instructed teams to collect data by conducting random audits, using a standardized tool (available by request).

Intervention Results: A total of 37.0% of infants in children's hospitals were observed to follow the current American Academy of Pediatrics recommendations at baseline; compliance improved to 59.6% at the project's end (P < .01). Compliance at birthing centers was 59.3% and increased to 72.5% (P < .01) at the collaborative's conclusion.

Conclusion: This study demonstrates that a quality improvement program in different hospital settings can improve safe sleep practices. Infants in birthing centers were more commonly observed in appropriate sleep environments than infants in children's hospitals.

Setting: 3 Children's hospitals and 6 birthing hospitals in Ohio

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Malik F, Booker JM, Brown S, McClain C, McGrath J. Improving developmental screening among pediatricians in New Mexico: findings from the developmental screening initiative. Clin Pediatr. 2014;53(6):531-538.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Educational Material (Provider), Expert Support (Provider), Participation Incentives, Quality Improvement/Practice-Wide Intervention, Data Collection Training for Staff, Expert Feedback Using the Plan-Do-Study-Act-Tool, Collaboration with Local Agencies (State), Collaboration with Local Agencies (Health Care Provider/Practice), STATE, POPULATION-BASED SYSTEMS, Audit/Attestation, HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation (Provider)

Intervention Description: Seven pediatric primary care practices participated in New Mexico's Developmental Screening Initiative in a year-long quality improvement project with the goal of implementing standardized developmental screening tools.

Intervention Results: At baseline, there were dramatic differences among the practices, with some not engaged in screening at all.

Conclusion: Overall, the use of standardized developmental screening increased from 27% at baseline to 92% at the end of the project.

Study Design: QE: pretest-posttest

Setting: Seven primary care practices in a large urban area and small regional community in New Mexico

Population of Focus: Children ages 1 through 60 months

Data Source: Child medical record

Sample Size: Total medical records reviewed at baseline and follow-up (n=1139)

Age Range: Not specified

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McMullen SL, Fioravanti ID, Brown K, Carey MG. Safe sleep for hospitalized infants. MCN Am J Matern Child Nurs. 2016;41(1):43-50.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, Provision of Safe Sleep Item, HOSPITAL, Quality Improvement, Policy/Guideline (Hospital), Crib Card, Visual Display (Hospital), Sleep Environment Modification, Promotional Event, CAREGIVER, Education/Training (caregiver), Educational Material (caregiver), Attestation (caregiver), HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation

Intervention Description: The purpose of this quality improvement project was to promote the AAP safe sleep recommendations and provide appropriate role modeling of these recommendations for hemodynamically stable infants throughout their hospital stay.

Intervention Results: Observations noted an improvement from 70% to 90% (p< 0.01) of infants in a safe sleep position when comparing pre- and postintervention results. There were some improvements in knowledge of and agreement with the AAP guidelines after the educational intervention, but not as much as expected.

Conclusion: There was inconsistency between nursing knowledge and practice about safe infant sleep. Nurses were aware of the AAP recommendations, but it took time to achieve close to full compliance in changing clinical practice. Observation was an important part of this initiative to reinforce knowledge and role model best practice for parents.

Study Design: QE: pretest-posttest

Setting: Golisano Children’s Hospital at the University of Rochester in NY

Population of Focus: Hemodynamically stable infants less than 1 year of age in the mother-baby unit and nine pediatric units

Data Source: Crib audit/infant observation

Sample Size: Baseline (n=65) Follow-up (n=60)

Age Range: Not specified

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Molina, A. L., Harrison, M., Dye, C., Stoops, C., & Schmit, E. O. (2022). Improving Adherence to Safe Sleep Guidelines for Hospitalized Infants at a Children's Hospital. Pediatric quality & safety, 7(1), e508. https://doi.org/10.1097/pq9.0000000000000508

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, PROFESSIONAL_CAREGIVER, Education/Training (caregiver), Provision of Safe Sleep Item, HOSPITAL, Quality Improvement, Sleep Environment Modification, Policy/Guideline (Hospital), Audit/Attestation

Intervention Description: The hospital’s safe sleep task force (SSTF) implemented targeted interventions using the American Academy of Pediatrics (AAP) policy statement as the gold standard and based on hospital data/crib audits to address areas of greatest nonadherence to recommendations. The SSTF created a standalone Infant Safe Sleep Policy for all infants admitted to the hospital; provided education on safe sleep to health care providers; created a patient education video for parents of all hospitalized infants; increased its Halo sleep sack allotment; and revised the room set-up to encourage adherence to AAP’s safe sleep guidelines. A safe sleep audit tool was used by clinical assistant or nurse (per hospitalized sleeping session) to assess adherence to safe sleep guidelines. The overall aim of the initiative was to increase the average weekly adherence to the AAP-recommended safe sleep practices for hospitalized infants to ≥95% over 12 months.

Intervention Results: There was a significant improvement in overall adherence to safe sleep recommendations from baseline (M = 70.8%, SD 21.6) to end of study period (M = 94.7%, SD 10.0) [t(427) = -15.1, P ≤ 0.001]. Crib audits with 100% adherence increased from a baseline (M = 0%, SD 0) to the end of the study period M = 70.4%, SD = 46) [t(381)= -21.4, P ≤ 0.001]. This resulted in two trend shifts on the p-chart using Institute for Healthcare Improvement control chart rules.

Conclusion: Targeted interventions using QI methodology led to significant increases in adherence to safe sleep guidelines. Notable improvements in behavior indicated significant changes in safe sleep culture. We also noted continued adherence in follow-up audits reflecting sustainability.

Setting: Tertiary children's hospital

Population of Focus: Hospital healthcare providers

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O'Shea, S., Mohr, L., & Blancarte, A. (2022). Safe Sleep Program for the NICU Nursing Staff: A Pilot Program. Neonatal network : NN, 41(2), 73–82. https://doi.org/10.1891/11-T-702

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Nurse/Nurse Pratitioners, HOSPITAL, Quality Improvement, Crib Card, Audit/Attestation

Intervention Description: This quality improvement pilot program used a bundle approach to create a safe sleep program that consisted of safe sleep education for NICU nurses, the creation and implementation of safe sleep cards, and revision of the institution’s safe sleep policy. To assess safe sleep practices, sleep environment audits were completed pre- and post-safe sleep program. To assess nurses’ safe sleep knowledge, a safe sleep questionnaire was delivered pre- and post-education.

Intervention Results: The change in SSP (ΔSSP) following safe sleep program implementation and change in nurses' safe sleep knowledge (ΔKnowledge) following education.

Conclusion: SSP increased from 25 percent to 61 percent compliance, and nurses' knowledge scores increased from 83 percent to 97 percent.

Setting: Level III NICU

Population of Focus: Hospital staff

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Patrick, P. A., Canter, J. F., Brumberg, H. L., Dozor, D., Aboudi, D., Smith, M., Sandhu, S., Trinidad, N., LaGamma, E., & Altman, R. L. (2021). Implementing a Hospital-Based Safe Sleep Program for Newborns and Infants. Advances in neonatal care : official journal of the National Association of Neonatal Nurses, 21(3), 222–231. https://doi.org/10.1097/ANC.0000000000000807

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Nurse/Nurse Practitioner, PROFESSIONAL_CAREGIVER, Education/Training (caregiver), HOSPITAL, Quality Improvement, Crib card, Audit/Attestation

Intervention Description: A multidisciplinary team developed a quality improvement initiative to create a hospital-based safe sleep environment for all newborns and infants prior to discharge. The safe sleep initiative included two key elements: (1) parent education about safe infant sleep that included verifying their understanding of safe sleep, and (2) modeling of safe infant sleep environment by hospital staff. To monitor compliance, documentation of parent education, caregiver surveys, and hospital crib check audits were tracked monthly. A visual safe sleep “crib ticket”—a checklist of safe sleep guidelines-- was placed at the bedside of newborns who were ready for supine positioning. Investigators used Plan-Do-Study-Act (PDSA) cycles to evaluate the impact of the initiative from October 2015 through February 2018.

Intervention Results: Safe sleep education was documented for all randomly checked records (n = 440). A survey (n = 348) revealed that almost all caregivers (95.4%) reported receiving information on safe infant sleep. Initial compliance with all criteria in WBN (n = 281), NICU (n = 285), and general pediatric inpatient units (n = 121) was 0%, 0%, and 8.3%, respectively. At 29 months, WBN and NICU compliance with all criteria was 90% and 100%, respectively. At 7 months, general pediatric inpatient units' compliance with all criteria was 20%.

Conclusion: WBN, NICU and general pediatric inpatient unit collaboration with content experts led to unit-specific strategies that improved safe sleep practices.

Setting: Well-baby nursery (WBN) and NICU in an academic, quaternary care, regional referral center

Population of Focus: Hospital staff

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Rowe AD, Sisterhen LL, Mallard E, et al. Integrating safe sleep practices into a pediatric hospital: outcomes of a quality improvement project. J Pediatr Nurs. 2016;31(2):e141-147.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): PROVIDER/PRACTICE, Provider Training/Education, HOSPITAL, Quality Improvement, Policy/Guideline (Hospital), Sleep Environment Modification, CAREGIVER, Educational Material (caregiver), HEALTH_CARE_PROVIDER_PRACTICE, Audit/Attestation

Intervention Description: A quality improvement project for implementing safe sleep practices (SSP) was conducted at a large, U.S children's hospital.

Intervention Results: Audit data showed that 72% and 77% of infants were asleep supine at baseline and follow-up respectively (p=0.07).

Conclusion: Infant safe sleep practices have the potential to reduce infant mortality.

Study Design: QE: pretest-posttest

Setting: A tertiary care children’s hospital in AR

Population of Focus: Infants 0-12 months in intensive care and medical-surgical units caring asleep at the time of the audit

Data Source: Crib audit/infant observation

Sample Size: Baseline (n=398) Follow-up (n=498)

Age Range: Not specified

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Scott, E. K., Downs, S. M., Pottenger, A. K., Bien, J. P., & Saysana, M. S. (2020). Enhancing Safe Sleep Counseling by Pediatricians through a Quality Improvement Learning Collaborative. Pediatric quality & safety, 5(4), e327. https://doi.org/10.1097/pq9.0000000000000327

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, PROFESSIONAL_CAREGIVER, Training/Education (caregiver) , Audit/Attestation, Audit/Attestation (Provider)

Intervention Description: Pediatricians were recruited to participate in a a virtual quality improvement learning collaborative (QILC) that promoted screening for safe sleep practices in the home and counseling families on the ABCs of safe sleep during visits. Monthly hour-long learning collaborative webinars allowed practices to view their progress, share current plan-do-study-act cycles, review safe sleep best practices, and learn about quality improvement topics. Participants collected data on safe sleep documentation in a newborn discharge or well-child visit note, which was submitted at baseline and in subsequent phases.

Intervention Results: Thirty-four pediatricians from 4 inpatient and 9 outpatient practices participated in the QILC. At baseline, documentation of safe sleep practices varied greatly (0%-98%). However, by the end of the QILC, all participating practices were documenting safe sleep guidance in over 75% of patient encounters. Aggregate practice data show a significant, sustained improvement. The 12-month follow-up data were submitted from 62% of practices, with sustainment of improvement in 75% of practices.

Conclusion: A facilitated, virtual QILC is an effective methodology to improve safe sleep counseling among a diverse group of pediatric practices. It is one step in improving consistent messaging around safe sleep by healthcare providers as pediatricians work to decrease sleep-related infant deaths.

Setting: Online community of practice

Population of Focus: Inpatient and outpatient pediatricians

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Shaikh, S. K., Chamberlain, L., Nazareth-Pidgeon, K. M., & Boggan, J. C. (2022). Quality improvement initiative to improve infant safe sleep practices in the newborn nursery. BMJ open quality, 11(3), e001834. https://doi.org/10.1136/bmjoq-2022-001834

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): PROFESSIONAL_CAREGIVER, Educational Material (caregiver), Provision of Safe Sleep Item, HOSPITAL, Quality Improvement, Crib Card, Policy/Guideline (Hospital), HEALTH_CARE_PROVIDER_PRACTICE, Educational Material (Provider), Nurse/Nurse Practitioner, Audit/Attestation, Audit/Attestation (Provider)

Intervention Description: This hospital quality improvement initiative performed a series of Plan-Do-Study-Act cycles designed to increase the proportion of infants placed in a “perfect sleep” environment that met all of the American Academy of Pediatrics’ infant safe sleep guidelines. The initiative took place while the hospital was preparing for Baby Friendly certification, with increased emphasis on rooming in and skin to skin at the same time. Initial cycles targeted nurse and parental education, while later cycles focused on providing sleep sacks/wearable blankets for the infants. The goal was to achieve 70% “perfect sleep” compliance among infants cared for in the hospital.

Intervention Results: While we did not meet our goal, the percentage of infants with 'perfect sleep' increased from a baseline of 41.9% to 67.3%, and we also saw improvement in each of the individual components that contribute to this composite measure. Improvements were sustained over 12 months later, suggesting that QI interventions targeting infant safe sleep in this inpatient setting can have long-lasting results.

Conclusion: This project also suggests that infant safe sleep QI initiatives and preparation towards Baby Friendly Hospital Certification can be complementary.

Population of Focus: Hospital healthcare providers

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Stringer, M., Ohnishi, B. R., Ferrarello, D., Lazzeri, J., Giordano, N. A., & Polomano, R. C. (2022). Subject Matter Expert Nurses in Safe Sleep Program Implementation. MCN. The American journal of maternal child nursing, 10.1097/NMC.0000000000000859. Advance online publication. https://doi.org/10.1097/NMC.0000000000000859

Evidence Rating: Emerging

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Nurse/Nurse Practitioner, Hospital, Quality Improvement, Audit/Attestation

Intervention Description: This descriptive study examined outcomes from 268 clinical nurses who received comprehensive education on infant safe sleep and their role as subject matter experts (SMEs). SME nurses completed two interactive learning modules addressing safe sleep guidelines and teaching strategies and attended a workshop to acquire skills for program implementation. Key competencies included data collection and dissemination, policy development, and communication techniques. Likert-type scale surveys measured knowledge gained and progress made in practice following education.

Intervention Results: Immediate posteducation surveys completed by SMEs indicated that over 98% of respondents strongly agreed or agreed they were able to effectively demonstrate communication strategies, identify SME role components, provide environment surveillance, and demonstrate best practices in infant safe sleep. To allow time for assimilation of the of SME role, a survey was initiated at 6 months to capture progress made. Seventy-eight SMEs responded to the survey and reported exceptional or substantial progress in 10 areas for SME responsibilities.

Conclusion: Use of the SME role for program implementation led to highly favorable SME-reported outcomes in leading a hospital-based QI program.

Setting: 25 birthing hospitals in Pennsylvania

Population of Focus: Nurses trained as subject matter experts (SMEs)

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Uduwana, S., Garcia, L., & Nemerofsky, S. L. (2020). The wake project: Improving safe sleep practices in a neonatal intensive care unit. Journal of neonatal-perinatal medicine, 13(1), 115–127. https://doi.org/10.3233/NPM-180182

Evidence Rating: Moderate

Intervention Components (click on component to see a list of all articles that use that intervention): HEALTH_CARE_PROVIDER_PRACTICE, Provider Training/Education, Nurse/Nurse Practitioner, HOSPITAL, Quality Improvement, Sleep Environment Modification, Crib Card, Visual Display, Audit/Attestation

Intervention Description: A quality improvement (QI) model was developed to introduce the AAP guidelines on safe sleep (SS) practices into the NICU nursing practice in a consistent and sustainable method. The project team included the NICU hospitalist, a neonatologist, the Director of Newborn Services at the Wakefield Division, the nurse manager, two nurses, and a nurse practitioner. The team members met at monthly QI meetings to discuss progress for the duration of the project. Key drivers were identified, and the team used PDSA cycles to target interventions, which included a crib check tool and presentations by SS experts. One of the team’s main concerns during the initial deliberation sessions was the suboptimal temperature control in the NICU, and after meeting with the engineering staff, more sensors were placed in the NICU to eliminate the wide variations of temperatures throughout the day. The primary aim of the project was a 20% improvement in the SS compliance rates (from 7% to 27%) by December, 2017.

Intervention Results: Approximately 600 crib checks (CC) were performed over the duration of this project. At baseline, 7% of infants were placed in a SS position in the NICU. Following the QI project, SS position increased to 96% of infants.

Conclusion: Multifactorial interventions significantly improved SS compliance among NICU nurses. Cultivating personal motivation among nurses, consistent empowerment and dedication to culture change by the entire team was crucial for the sustainability of the project.

Setting: Wakefield neonatal service, Montefiore Medical Center

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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.