Background Socioeconomically disadvantaged newborns receive care from primary care providers (PCPs) and Women, Infants, and Children (WIC) nutritionists. However, care is not coordinated between these settings, which can result in conflicting messages. Stakeholders support an integrated approach that coordinates services between settings with care tailored to patient-centered needs. Objective This analysis describes the usability of advanced health information technologies aiming to engage parents in self-reporting parenting practices, integrate data into electronic health records to inform and facilitate documentation of provided responsive parenting (RP) care, and share data between settings to create opportunities to coordinate care between PCPs and WIC nutritionists. Methods Parents and newborns (dyads) who were eligible for WIC care and received pediatric care in a single health system were recruited and randomized to a RP intervention or control group. For the 6-month intervention, electronic systems were created to facilitate documentation, data sharing, and coordination of provided RP care. Prior to PCP visits, parents were prompted to respond to the Early Healthy Lifestyles (EHL) self-assessment tool to capture current RP practices. Responses were integrated into the electronic health record and shared with WIC. Documentation of RP care and an 80-character, free-text comment were shared between WIC and PCPs. A care coordination opportunity existed when the dyad attended a WIC visit and these data were available from the PCP, and vice versa. Care coordination was demonstrated when WIC or PCPs interacted with data and documented RP care provided at the visit. Results Dyads (N=131) attended 459 PCP (3.5, SD 1.0 per dyad) and 296 WIC (2.3, SD 1.0 per dyad) visits. Parents completed the EHL tool prior to 53.2% (244/459) of PCP visits (1.9, SD 1.2 per dyad), PCPs documented provided RP care at 35.3% (162/459) of visits, and data were shared with WIC following 100% (459/459) of PCP visits. A WIC visit followed a PCP visit 50.3% (231/459) of the time; thus, there were 1.8 (SD 0.8 per dyad) PCP to WIC care coordination opportunities. WIC coordinated care by documenting RP care at 66.7% (154/231) of opportunities (1.2, SD 0.9 per dyad). WIC visits were followed by a PCP visit 58.9% (116/197) of the time; thus, there were 0.9 (SD 0.8 per dyad) WIC to PCP care coordination opportunities. PCPs coordinated care by documenting RP care at 44.0% (51/116) of opportunities (0.4, SD 0.6 per dyad). Conclusions Results support the usability of advanced health information technology strategies to collect patient-reported data and share these data between multiple providers. Although PCPs and WIC shared data, WIC nutritionists were more likely to use data and document RP care to coordinate care than PCPs. Variability in timing, sequence, and frequency of visits underscores the need for flexibility in pragmatic studies. Trial Registration ClinicalTrials.gov NCT03482908; https://clinicaltrials.gov/ct2/show/NCT03482908 International Registered Report Identifier (IRRID) RR2-10.1186/s12887-018-1263-z

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SummaryObjectivesImpaired physical function (i.e., inability to walk 200 feet, climb a flight of stairs or perform activities of daily living) predicts poor clinical outcomes and adversely impacts medical and surgical weight management. However, routine assessment physical function is seldom performed clinically. The PROMIS Physical Function Short Form 20a (SF‐20a) is a validated questionnaire for assessing patient reported physical function, which includes published T‐score percentiles adjusted for gender, age and education. However, the effect that increasing levels of obesity has on these percentiles is unclear. We hypothesized that physical function would decline with increasing level of obesity independent of gender, age, education and comorbidity.Materials and MethodsThis study included 1,627 consecutive weight management patients [(mean ± SEM), 44.7 ± 0.3 years and 45.1 ± 0.2 kg/m2] that completed the PROMIS SF‐20a during their initial consultation. We evaluated the association between obesity level and PROMIS T‐score percentiles using multiple linear regression adjusting for gender, age, education and Charlson Comorbidity Index (CCI).ResultsMultiple linear regression T‐score percentiles were lower in obesity class 2 (−12.4%tile, p < 0.0001), class 3 (−17.0%tile, p < 0.0001) and super obesity (−25.1%tile, p < 0.0001) compared to class 1 obesity.ConclusionIn patients referred for weight management, patient reported physical function was progressively lower in a dose‐dependent fashion with increasing levels of obesity, independent of gender, age, education and CCI.

Socioeconomically-disadvantaged newborns receive care from primary-ambulatory-care providers (PCPs) and Women, Infant and Children (WIC) Nutritionists; however, care is not coordinated between these settings, which can result in conflicting messages. Previous studies have shown these stakeholders support an integrated approach that coordinates services between settings with care tailored to patient-centered needs.