SPR perspectives: Environmental influences on Child Health Outcomes (ECHO) Program: overcoming challenges to generate engaged, multidisciplinary science.

The US National Institutes of Health-funded Environmental influences on Child Health Outcomes (ECHO) Program brings together 69 cohorts and over 57,000 children from across the nation to address five key pediatric outcome areas with high public health impact: pre-, peri-, and postnatal outcomes; upper and lower airway health; obesity; neurodevelopment; and positive health. We describe (1) the ECHO Program infrastructure that was designed to facilitate collaboration across over 1200 investigators and support the development of a cohort-wide data collection protocol and (2) the many challenges that were overcome in rapidly launching this large-scale program. Guided by a commitment to transparency, team science, and end user stakeholder engagement, ECHO successfully launched a unified study protocol and is working across disciplines to generate high-impact, solution-oriented research to improve children's lives for generations to come. IMPACT: Many children in the United States experience chronic health conditions or do not reach their developmental potential. The Environmental influences on Child Health Outcomes (ECHO) Program brings together 69 existing cohort studies comprising over 57,000 children to identify modifiable aspects of the early environment associated with pediatric outcomes with high public health impact: pre-, peri-, and postnatal outcomes; upper and lower airway health; obesity; neurodevelopment; and positive health. We describe the collaborative, team science-informed approach by which over 1200 investigators convened to form the ECHO Program and foster solution-oriented research to improve the health of children for generations to come.

Characteristics of Environmental influences on Child Health Outcomes (ECHO) Cohorts Recruited During Pregnancy.

PURPOSE: The objective of this study was to characterize the study designs, recruitment strategies, and other study characteristics among cohorts that initiated during pregnancy as part of the Environmental influences on Child Health Outcomes (ECHO) program. METHODS: ECHO research programs (cohorts) were reviewed. Only those who had or were currently recruiting during pregnancy were surveyed in 2018 about research recruitment strategies (participant incentives, study burden, community collaboration, and cultural adaptations). Data are presented with cohort characteristics (location, inclusion and exclusion criteria, sociodemographics, medical information, behavioral factors, and biospecimens). RESULTS: Forty-seven of the 84 ECHO pediatric cohorts recruited during pregnancy. Findings demonstrate various recruitment strategies, domains of data collection, and biospecimen collection are all characteristics of successful cohorts. CLINICAL IMPLICATIONS: These data that include over 50,000 children from families across the country, many in underserved areas, will be used for research with the potential to lead to profound policy changes. Prenatal conditions such as maternal age, obesity, depression, and drug use can be examined using study data, including biological markers, from pregnancy through childbirth and into childhood and will inform national policies on the role of early life exposures and underlying mechanisms of disease progression.

Management Team Perceptions of Risks and Strategies for Preventing Falls Among Short-Stay Patients in Nursing Homes.

We sought to understand strategies reported by members of the nursing home management team used to prevent falls in short-stay nursing home patients. Using Donabedian's model of structure, process, and outcomes, we interviewed 16 managers from 4 nursing homes in central North Carolina. Nursing home managers identified specific barriers to fall prevention among short-stay patients including rapid changes in functional and cognitive status, staff unfamiliarity with short-stay patient needs and patterns, and policies impacting care. Few interventions for reducing falls among short-stay patients were used at the structure level (eg, specialized units, workload ratio, and staffing consistency); however, many process-level interventions were used (eg, patient education on problem solving, self-care/mobility, and safety). We described several barriers to fall prevention among short-stay patients in nursing homes. From these descriptions, we propose three interventions that might reduce falls for short-stay patients and could be tested in future research: (1) clustering short-stay patients within a physical location to permit higher staff-patient ratios and enhanced surveillance, (2) population-based prevention interventions to supplement existing individually tailored prevention strategies (eg, toileting schedules, medication review for all), and (3) transitional care interventions that transmit key information from hospitals to nursing homes.

Resident Vignettes for Assessing Care Quality in Nursing Homes.

OBJECTIVES: Validated process measures that correlate with patient outcomes are needed for research and quality improvement. DESIGN: Cross-sectional analysis within a cluster-randomized fall prevention study. SETTING: Nursing homes in North Carolina (n = 16). PARTICIPANTS: Nursing home staff (n = 541) and residents with 1 or more falls in 6 months (n = 597). MEASUREMENTS: Fall-prevention process measures in 4 categories derived from Assessing Care of Vulnerable Elders quality indicators were measured in 2 ways: (1) chart abstraction; and (2) staff responses to clinical vignettes of hypothetical residents at risk for falls. Recurrent fall rates (falls/resident/year) were measured. The proportion of the total variation in falls rates explained by the scores for each method (chart abstraction or vignette) was calculated using multilevel adjusted models. RESULTS: Chart and vignette measures of comorbidity management were moderately correlated (Pearson correlation coefficient 0.43), whereas other process measure categories had low or negative correlation between the 2 methods (psychoactive medication reduction 0.13, environmental modification -0.42, and exercise/rehabilitation -0.08). Measures of environmental modification and comorbidity management explained a moderate amount of the total variation in recurrent fall fates, vignettes (7%-10% variation explained) were superior to chart abstraction (2%-6% variation explained). Vignette responses from unlicensed staff (nurse aides and rehabilitation aides) explained more variance than registered nurses, licensed practical nurses, or other licensed staff in these categories. Process measures for psychoactive medication reduction and exercise/rehabilitation did not explain any of the variation in fall outcomes. Overall, vignette process measures explained 3.9% and chart abstraction measures explained 0% of the variation in fall outcomes. CONCLUSIONS: Clinical vignettes completed by nursing home staff had greater association with resident recurrent fall rates than traditional chart abstraction process measures.

Effect of Promoting High-Quality Staff Interactions on Fall Prevention in Nursing Homes: A Cluster-Randomized Trial.

Importance: New approaches are needed to enhance implementation of complex interventions for geriatric syndromes such as falls. Objective: To test whether a complexity science-based staff training intervention (CONNECT) promoting high-quality staff interactions improves the impact of an evidence-based falls quality improvement program (FALLS). Design, Setting, and Participants: Cluster-randomized trial in 24 nursing homes receiving either CONNECT followed by FALLS (intervention), or FALLS alone (control). Nursing home staff in all positions were asked to complete surveys at baseline, 3, 6, and 9 months. Medical records of residents with at least 1 fall in the 6-month pre- and postintervention windows (n = 1794) were abstracted for fall risk reduction measures, falls, and injurious falls. Interventions: CONNECT taught staff to improve their connections with coworkers, increase information flow, and use cognitive diversity in problem solving. Intervention components included 2 classroom sessions, relationship mapping, and self-monitoring. FALLS provided instruction in the Agency for Healthcare Research and Quality's Falls Management Program. Main Outcomes and Measures: Primary outcomes were (1) mean number of fall risk reduction activities documented within 30 days of falls and (2) median fall rates among residents with at least 1 fall during the study period. In addition, validated scales measured staff communication quality, frequency, timeliness, and safety climate. Results: Surveys were completed by 1545 staff members, representing 734 (37%) and 811 (44%) of eligible staff in intervention and control facilities, respectively; 511 (33%) respondents were hands-on care workers. Neither the CONNECT nor the FALLS-only facilities improved the mean count of fall risk reduction activities following FALLS (3.3 [1.6] vs 3.2 [1.5] of 10); furthermore, adjusted median recurrent fall rates did not differ between the groups (4.06 [interquartile range {IQR}, 2.03-8.11] vs 4.06 [IQR, 2.04-8.11] falls/resident/y). A modest improvement in staff communication measures was observed overall (mean, 0.03 [SE, 0.01] points on a 5-point scale; P = .03) and for communication timeliness (mean, 0.8 [SE, 0.03] points on a 5-point scale; P = .02). There was wide variation across facilities in intervention penetration. Conclusions and Relevance: An intervention targeting gaps in staff communication and coordination did not improve the impact of a falls quality improvement program. New approaches to implementing evidence-based care for complex conditions in the nursing home are urgently needed. Trial Registration: clinicaltrials.gov Identifier: NCT00636675.

A novel program for ABSN students to generate interest in geriatrics and geriatric nursing research.

The current shortage of nurse researchers in geriatrics adversely affects the capacity of nurses to conduct research to advance the evidence-based care of older adults. In an effort to generate interest in geriatrics and geriatric nursing research, the Duke University School of Nursing designed a summer internship for four students enrolled in the accelerated baccalaureate nursing (ABSN) program. This paper describes the experience of these ABSN students and the staff and faculty who worked with them. The program design, staff and faculty experiences, benefits and challenges, as well as recommendations for future programs are discussed. The purpose of this article is to highlight the benefits and challenges of offering research experiences to nursing students in an ABSN program to stimulate interest in geriatrics and geriatric nursing research.

Study of Individualization and Bias in Nursing Home Fall Prevention Practices.

OBJECTIVES: Little is known about how nursing home staff use resident characteristics to individualize care delivery or whether care is affected by implicit bias. DESIGN: Randomized factorial clinical vignette survey. SETTING: Sixteen nursing homes in North Carolina. PARTICIPANTS: Nursing, rehabilitation, and social services staff (n = 433). MEASUREMENTS: Vignettes describing hypothetical residents were generated from a matrix of clinical and demographic characteristics. Resident age, race and gender were suggested by a photo. Participants completed up to four randomly assigned vignettes (n = 1615), rating the likelihood that 12 fall prevention activities would be used for the resident. Fixed and random effects mixed model analysis examined the impact of vignette resident characteristics and staff characteristics on four intervention categories. RESULTS: Staff reported a higher likelihood of fall prevention activities in all four categories for residents with a prior fall (0.2-0.5 points higher, 10 point scale, P < 0.05), but other risk factors did not affect scores. There was little evidence of individualization; only dementia increased the reported likelihood of environmental modification (0.3, P < 0.001, 95% CI 0.2-0.5). Individualization did not vary with staff licensure category or clinical experience. Registered nurses consistently reported higher likelihoods of all fall prevention activities than did licensed practical nurses, unlicensed staff and other professional staff (1.0-2.7 points, P < 0.001 to 0.005). There was a small degree of implicit racial bias; staff indicated that environmental modification would be less likely to occur in otherwise identical vignettes including a photo of a black rather than a white resident (-0.2 points, 95% CI -0.3 to -0.1). CONCLUSION: Nursing home staff report a standardized approach to fall prevention without individualization. We found a small impact from implicit racial bias that should be further explored.