Resolving Pediatric Preventive Care Gaps Through Hospital Inreach.

OBJECTIVES: Panel management processes have been used to help improve population-level care and outreach to patients outside the health care system. Opportunities to resolve gaps in preventive care are often missed when patients present outside of primary care settings but still within the larger health care system. We hypothesized that we could design a process of "inreach" capable of resolving care gaps traditionally addressed solely in primary care settings. Our aim was to identify and resolve gaps in vaccinations and screening for lead exposure for children within our primary care registry aged 2 to 66 months who were admitted to the hospital. We sought to increase care gaps closed from 12% to 50%. METHODS: We formed a multidisciplinary team composed of primary care and hospital medicine physicians, nursing leadership, and quality improvement experts within the Division of General and Community Pediatrics. The team identified a smart aim, mapped the process, predicted failure modes, and developed a key driver diagram. We identified, tested, and implemented multiple interventions related to role assignment, identification of admitted patients with care gaps, and communication with the inpatient teams. RESULTS: After increasing the reliability of our process to identify and contact the hospital medicine team caring for patients who needed action to 88%, we observed an increase in the preventive care gaps closed from 12% to 41%. CONCLUSIONS: A process to help improve preventive care for children can be successfully implemented by using quality improvement methodologies outside of the traditional domains of primary care.

Association Between Unscheduled Pediatric Primary Care Visits and Risk of Developmental Delay.

OBJECTIVE: Primary care centers are trialing open access scheduling models to expand access. Given evidence linking irregular caregiver work schedules with adverse child developmental outcomes, we hypothesized that children presenting for unscheduled "walk-in" visits would have higher odds of developmental concerns than those presenting for scheduled visits. METHODS: We conducted a retrospective review of electronic health record data for children aged 6 to 66 months visiting an academic pediatric primary care center between July 1, 2013 and February 1, 2019. Our primary outcome was presence of developmental concerns, defined by results below cutoff on a child's Ages & Stages Questionnaire, Third Edition (ASQ-3). We examined associations between visit stream (unscheduled vs scheduled; time of day) and ASQ-3 using multivariable logistic regression, adjusting for child demographics, visit type (well-child vs ill), and responses to a standardized social history questionnaire. RESULTS: Of 11,169 eligible total encounters each for a unique child, 8% were unscheduled (n = 848); 19% had developmental concerns in at least one domain (n = 2100). Twenty-eight percent of children presenting for unscheduled visits had developmental concerns compared to 18% of those presenting for scheduled visits (P < .0001). Compared to those presenting for scheduled well-child visits, children presenting for unscheduled ill visits had a higher odds of an ASQ-3 score below cutoff (adjusted odds ratio 2.02; 95% confidence interval, 1.54-2.65). CONCLUSIONS: As pediatric primary care centers implement open access scheduling models, they should be prepared to identify and respond to developmental concerns at a rate that may be higher than what is typically seen during scheduled visits.

A Quality Improvement Initiative Addressing Provider Prescription of Weight Management Follow-up in Primary Care.

INTRODUCTION: Few providers routinely comply with the American Academy of Pediatrics recommendations to prescribe weight management follow-up in-between well-child checks for children with obesity/overweight. This quality improvement (QI) project aimed to increase the percentage of patients prescribed weight management follow-up within three months of their well-child check. METHODS: The project took place in 1 outpatient primary care clinic at a large, free-standing children's hospital from May 2018 to April 2019. We grouped interventions in 4 Plan-Do-Study-Act ramps with the following themes: (1) provider education; (2) electronic health record note changes; (3) discharge order modifications; and (4) provider feedback. The primary outcome was the percent of patients ages 2-18 years with body mass index ≥ 85% that had an order placed to schedule a follow-up weight management appointment in primary care. We monitored attendance rates for scheduled follow-up visits as a balancing measure. RESULTS: Mean prescription rates increased from 32% at baseline to 58%, with special cause analysis demonstrating improvement. Of patients prescribed follow-up, 40% returned for a weight management visit, compared to 13% before the QI initiative. The no-show rate was 35%. CONCLUSIONS: The utilization of QI methodology led to an increase in the percentage of patients appropriately prescribed weight management follow-up and a resultant increase in the number of patients seen for follow-up. The next steps include a re-examination of process failures to improve patient buy-in in follow-up prescriptions.

A Framework to Measure and Improve Well-Being in Primary Care.

Pediatricians aspire to optimize overall health and development, but there are no comprehensive measures of well-being to guide pediatric primary care redesign. The objective of this article is to describe the Cincinnati Kids Thrive at 5 outcome measure, along with a set of more proximal outcome and process measures, designed to drive system improvement over several years. In this article, we describe a composite measure of "thriving" at age 66 months, using primary care data from the electronic health record. Thriving is defined as immunizations up-to-date, healthy BMI, free of dental pain, normal or corrected vision, normal or corrected hearing, and on track for communication, literacy, and social-emotional milestones. We discuss key considerations and tradeoffs in developing the measure. We then summarize insights from applying this measure to 9544 patients over 3 years. Baseline rates of thriving were 13% when including all patients and 31% when including only patients with complete data available. Interpretation of results was complicated by missing data in 50% of patients and nonindependent success rates among bundle components. There was considerable enthusiasm among other practices and sectors to learn with us and to measure system performance using time-linked trajectories. We learned to present our data in ways that balanced aspirational long-term or multidisciplinary goal-setting with more easily attainable short-term aims. On the basis of our experience with the Thrive at 5 measure, we discuss future directions and place a broader call to action for pediatricians, researchers, policy makers, and communities.

Development of a bundle measure for preventive service delivery to infants in primary care.

RATIONALE, AIMS AND OBJECTIVES: In the United States, paediatric patients receive only 41% of indicated preventive services. Past improvement efforts have not bundled preventive services to measure the reliability with which infants' physical, developmental and emotional needs are all addressed. We aimed to create a comprehensive bundle measure that reflects reliable delivery of preventive services during primary care visits, as well as overall preventive service status of a population of patients served by three primary care centres. METHOD: Data were collected from electronic health records for cohorts of infants < 14 months old with at least one visit to one of three primary care centres. Immunizations, lead screening, developmental screening and screening for biopsychosocial risk factors (gestational age, parental depression, food insecurity) were chosen by local expert consensus for inclusion in the preventive services bundle measure. Monthly measures of preventive service status at 14 months of age were constructed. A visit-level bundle measure of preventive service delivery was also created. To obtain a baseline for improvement work, bundle completion rates were calculated for infants born in May 2011. Visit-level performance was measured for visits from July to August 2012. RESULTS: Among 278 patients born in May 2011, 22% of patients received the entire bundle of preventive services by 14 months of age. On a visit level, patients received all indicated services at 58% of visits. CONCLUSION: A novel bundle measure can be used to characterize delivery of preventive services and drive improvement at both an individual visit level and a population level.