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      Advanced Health Information Technologies to Engage Parents, Clinicians, and Community Nutritionists in Coordinating Responsive Parenting Care: Descriptive Case Series of the Women, Infants, and Children Enhancements to Early Healthy Lifestyles for Baby (WEE Baby) Care Randomized Controlled Trial

      research-article
      , PhD, RD 1 , 2 , 3 , 4 , , , PhD 1 , 5 , , MS 1 , , BA 4 , , MPH 1 , , BS 4 , , BA 4 , , BS 6 , , MD, MS, FAAP 7 , , MS 8 , , BS 6 , , DO 4 , , MD 9 , 10 , , MBA 4 , , MS, RD 6 , , PhD 1 , 3 , , DEd, RD 4 , 11
      (Reviewer), (Reviewer)
      JMIR Pediatrics and Parenting
      JMIR Publications
      early obesity prevention, responsive parenting, health information technology, coordination of care, clinical care, pragmatic intervention, data sharing

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          Abstract

          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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          Most cited references33

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          Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

          Background Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts. Methods We used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts. Results The CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct. Conclusion The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.
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            Health information technology: an updated systematic review with a focus on meaningful use.

            Incentives offered by the U.S. government have spurred marked increases in use of health information technology (IT). To update previous reviews and examine recent evidence that relates health IT functionalities prescribed in meaningful use regulations to key aspects of health care. English-language articles in PubMed from January 2010 to August 2013. 236 studies, including pre-post and time-series designs and clinical trials that related the use of health IT to quality, safety, or efficiency. Two independent reviewers extracted data on functionality, study outcomes, and context. Fifty-seven percent of the 236 studies evaluated clinical decision support and computerized provider order entry, whereas other meaningful use functionalities were rarely evaluated. Fifty-six percent of studies reported uniformly positive results, and an additional 21% reported mixed-positive effects. Reporting of context and implementation details was poor, and 61% of studies did not report any contextual details beyond basic information. Potential for publication bias, and evaluated health IT systems and outcomes were heterogeneous and incompletely described. Strong evidence supports the use of clinical decision support and computerized provider order entry. However, insufficient reporting of implementation and context of use makes it impossible to determine why some health IT implementations are successful and others are not. The most important improvement that can be made in health IT evaluations is increased reporting of the effects of implementation and context. Office of the National Coordinator.
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              Effect of the INSIGHT Responsive Parenting Intervention on Rapid Infant Weight Gain and Overweight Status at Age 1 Year: A Randomized Clinical Trial.

              Rapid infant weight gain is associated with later obesity, but interventions to prevent rapid infant growth and reduce risk for overweight status in infancy are lacking.
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                Author and article information

                Contributors
                Journal
                JMIR Pediatr Parent
                JMIR Pediatr Parent
                JPP
                JMIR Pediatrics and Parenting
                JMIR Publications (Toronto, Canada )
                2561-6722
                Jul-Dec 2020
                24 November 2020
                : 3
                : 2
                : e22121
                Affiliations
                [1 ] Center for Childhood Obesity Research The Pennsylvania State University University Park, PA United States
                [2 ] Evaluation Sciences Unit, Division of Primary Care and Population Health Department of Medicine, School of Medicine Stanford University Stanford, CA United States
                [3 ] Department of Nutritional Sciences The Pennsylvania State University University Park, PA United States
                [4 ] Geisinger Obesity Institute Geisinger Danville, PA United States
                [5 ] Erasmus Medical Center Generation R Study University Medical Center Rotterdam Rotterdam Netherlands
                [6 ] Bureau of Women, Infants, and Children Pennsylvania Department of Health Harrisburg, PA United States
                [7 ] Institute for Healthy Childhood Weight American Academy of Pediatrics Wilmington, DE United States
                [8 ] Maternal and Family Health Services Wilkes-Barre, PA United States
                [9 ] Department of Pediatrics Penn State College of Medicine Hershey, PA United States
                [10 ] Department of Public Health Sciences Penn State College of Medicine Hershey, PA United States
                [11 ] Department of Population Health Sciences Geisinger Danville, PA United States
                Author notes
                Corresponding Author: Samantha MR Kling skling@ 123456stanford.edu
                Author information
                https://orcid.org/0000-0001-9169-763X
                https://orcid.org/0000-0002-8304-1064
                https://orcid.org/0000-0001-5664-097X
                https://orcid.org/0000-0002-5692-8110
                https://orcid.org/0000-0002-4711-940X
                https://orcid.org/0000-0002-5600-5084
                https://orcid.org/0000-0003-3136-8564
                https://orcid.org/0000-0003-1102-3550
                https://orcid.org/0000-0002-5938-4411
                https://orcid.org/0000-0002-2908-9112
                https://orcid.org/0000-0002-5111-3238
                https://orcid.org/0000-0002-5574-6593
                https://orcid.org/0000-0002-6344-8609
                https://orcid.org/0000-0002-5471-1241
                https://orcid.org/0000-0003-4974-4185
                https://orcid.org/0000-0002-2912-8687
                https://orcid.org/0000-0002-8781-1521
                Article
                v3i2e22121
                10.2196/22121
                7723742
                33231559
                9cfbaa8c-c0c7-4606-a21d-06f2a3b4a8e6
                ©Samantha MR Kling, Holly A Harris, Michele Marini, Adam Cook, Lindsey B Hess, Shawnee Lutcher, Jacob Mowery, Scott Bell, Sandra Hassink, Shannon B Hayward, Greg Johnson, Jennifer Franceschelli Hosterman, Ian M Paul, Christopher Seiler, Shirley Sword, Jennifer S Savage, Lisa Bailey-Davis. Originally published in JMIR Pediatrics and Parenting (http://pediatrics.jmir.org), 24.11.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Pediatrics and Parenting, is properly cited. The complete bibliographic information, a link to the original publication on http://pediatrics.jmir.org, as well as this copyright and license information must be included.

                History
                : 3 July 2020
                : 19 August 2020
                : 8 October 2020
                : 25 October 2020
                Categories
                Original Paper
                Original Paper

                early obesity prevention,responsive parenting,health information technology,coordination of care,clinical care,pragmatic intervention,data sharing

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