Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Citations 5
De-escalation of critical care and prevention of iatrogenicity through a self-tracking daily rounding checklist
Introduction As part of the Society of Critical Care Medicine's Pediatric ICU Liberation Campaign Collaborative, Mayo Clinic developed a daily physician-led rounding checklist to promote timely de-escalation of ICU support and proactive measures to prevent iatrogenic conditions. We hypothesized that implementing this checklist would be feasible and would reduce missed opportunities to optimize care through both de-escalation and initiation of key preventive tasks. Methods We conducted a prospective study in a 16-bed medical/surgical PICU at a quaternary academic center over a 300-day period from May 2017 to March 2018. A 15-task daily rounding checklist was integrated into standard patient-centered rounds for every admitted patient to prompt physicians to address common de-escalation and preventive care tasks. For each task, physicians documented whether it had already been addressed during rounds, was not applicable to the patient, or the checklist directly prompted a plan modification. Trends in checklist compliance and the frequency/type of plan modifications were assessed in 60-day intervals to evaluate sustainability over time. Results 1,710 rounding checklists were completed across 2,424 patient-days (71% compliance). The checklist prompted 198 documented plan modifications from 9% of all completed checklists. The most frequent modifications involved initiating a bowel regimen ( n = 47), converting intravenous to enteral medications ( n = 32), initiating gastrointestinal prophylaxis ( n = 30), consulting rehabilitation services ( n = 18), and restarting home medications ( n = 18), which together accounted for 73% (145/198) of all modifications. Discussion Implementation of a daily rounding checklist was feasible, achieved acceptable compliance, and identified 198 opportunities for timely de-escalation and proactive care in a complex PICU environment. Although overall compliance did not meet the a priori >75% target across the entire study period, early adoption exceeded this threshold and later decline highlighted sustainability challenges. This initiative demonstrates the potential of structured physician-led checklists to standardize care and reduce iatrogenic risk in pediatric critical care.
Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community
OBJECTIVES:Children with multiple complex chronic conditions (MCCs) represent a small fraction of our communities but a disproportionate amount of health care cost and mortality. Because the temporal trends of children with MCCs within a geographically well-defined US pediatric population has not been previously assessed, health care planning and policy for this vulnerable population is limited.METHODS:In this population-based, repeated cross-sectional study, we identified and enrolled all eligible children residing in Olmsted County, Minnesota, through the Rochester Epidemiology Project, a medical record linkage system of Olmsted County residents. The pediatric complex chronic conditions classification system version 2 was used to identify children with MCCs. Five-year period prevalence and incidence rates were calculated during the study period (1999–2014) and characterized by age, sex, ethnicity, and socioeconomic status (SES) by using the housing-based index of socioeconomic status, a validated individual housing-based SES index. Age-, sex-, and ethnicity-adjusted prevalence and incidence rates were calculated, adjusting to the 2010 US total pediatric population.RESULTS:Five-year prevalence and incidence rates of children with MCCs in Olmsted County increased from 1200 to 1938 per 100 000 persons and from 256 to 335 per 100 000 person-years, respectively, during the study period. MCCs tend to be slightly more prevalent among children with a lower SES and with a racial minority background.CONCLUSIONS:Both 5-year prevalence and incidence rates of children with MCCs have significantly increased over time, and health disparities are present among these children. The clinical and financial outcomes of children with MCCs need to be assessed for formulating suitable health care planning given limited resources.
Vasopressor magnitude predicts poor outcome in adults with congenital heart disease after cardiac surgery
Objectives: Investigations of pediatric critical illness typically focus on inpatient cohorts drawn from wide referral areas and diverse healthcare systems. Cohorts amenable to investigating the full spectrum of critical illness as it develops within a community have yet to be studied in the United States. Our objective was to provide the first epidemiologic report of the incidence and presentation of pediatric critical illness within a U.S. population-based birth cohort. Design: Retrospective cohort study. Setting: A geographically defined community (Olmsted, MN) with medical record linkage across all health systems. All ICU services are provided within a single children’s hospital. Patients: A birth cohort of children (n =9,441) born 2003–2007 in Olmsted County, MN. Measurements and Main Results: During the study period, there were a total of 15,277 ICU admissions to Mayo Clinic Children’s Hospital. A total of 577 birth cohort children accounted for 824 of these admissions during the 61,770 person-years of follow-up accumulated. Incidence of first-time ICU admission was 9.3 admits per 1,000 person-years. Admission rates were highest in the first year of life and then declined steadily. Respiratory problems were among the most common reasons for admission at any age and diagnoses reflect changes in health risk factors as children grow and develop over time. After 1 year old, a majority of children admitted have preexisting chronic comorbidities and/or prior ICU stays. In-hospital mortality occurred exclusively in children admitted prior to 5 days of age (n = 4). Seven children died after hospital discharge. Conclusions: This is the first report characterizing critical illness within a population-based birth cohort of U.S. children. The results demonstrate the changing incidence, presentation, and healthcare requirements associated with critical illness across the developmental spectrum as a population of children ages.
Assessing health disparities in children using a modified housing-related socioeconomic status measure: a cross-sectional study
Objectives Socioeconomic status (SES) is a well-established risk factor for many health outcomes. Recently, we developed an SES measure based on 4 housing-related characteristics (termed HOUSES) and demonstrated its ability to assess health disparities. In this study, we aimed to evaluate whether fewer housing-related characteristics could be used to provide a similar representation of SES. Study setting and participants We performed a cross-sectional study using parents/guardians of children aged 1–17 years from 2 US Midwestern counties (n=728 in Olmsted County, Minnesota, and n=701 in Jackson County, Missouri). Primary and secondary outcome measures For each participant, housing-related characteristics used in the formulation of HOUSES (assessed housing value, square footage, number of bedrooms and number of bathrooms) were obtained from the local government assessor's offices, and additional SES measures and health outcomes with known associations to SES (obesity, low birth weight and smoking exposure) were collected from a telephone survey. Housing characteristics with the greatest contribution for predicting the health outcomes were added to formulate a modified HOUSES index. Results Among the 4 housing characteristics used in the original HOUSES, the strongest contributions for predicting health outcomes were observed from assessed housing value and square footage (combined contribution ranged between 89% and 96%). Based on this observation, these 2 were used to calculate a modified HOUSES index. Correlation between modified HOUSES and other SES measures was comparable to the original HOUSES for both locations. Consistent with the original HOUSES formula, the strongest association with modified HOUSES was observed with smoking exposure (OR=0.24 with 95% CI 0.11 to 0.49 for comparing participants in highest HOUSES vs lowest group; overall p<0.001). Conclusions The modified HOUSES requires only 2 readily available housing characteristics thereby improving the feasibility of using this index as a proxy for SES in multiple communities, especially in the US Midwestern region.