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      Electronic health record tools to assist with children’s insurance coverage: a mixed methods study

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          Abstract

          Background

          Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children’s coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children’s insurance assistance.

          Methods

          We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics ( n = 15,024) to those at 4 matched control clinics ( n = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use ( n = 2240) to intervention clinic patients without tool use (n = 12,784).

          Results

          Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14–1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68–0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64–2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53–0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used.

          Conclusions

          This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care.

          Trial registration

          ClinicalTrials.gov, NCT02298361; retrospectively registered on November 5, 2014.

          Electronic supplementary material

          The online version of this article (10.1186/s12913-018-3159-x) contains supplementary material, which is available to authorized users.

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          Most cited references29

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          Conceptualization: On Theory and Theorizing Using Grounded Theory

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            Health insurance and access to health care in the United States.

            Health insurance, poverty, and health are all interconnected in the United States. This article synthesizes a large and compelling body of health services research, finding a strong association between health insurance coverage and access to primary and preventive care, the treatment of acute and traumatic conditions, and the medical management of chronic illness. Moreover, by improving access to care, health insurance coverage is also fundamentally important to better health care and health outcomes. Research connects being uninsured with adverse health outcomes, including declines in health and function, preventable health problems, severe disease at the time of diagnosis, and premature mortality.
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              The future of health information technology in the patient-centered medical home.

              Most electronic health records today need further development of features that patient-centered medical homes require to improve their efficiency, quality, and safety. We propose a road map of the domains that need to be addressed to achieve these results. We believe that the development of electronic health records will be critical in seven major areas: telehealth, measurement of quality and efficiency, care transitions, personal health records, and, most important, registries, team care, and clinical decision support for chronic diseases. To encourage this development, policy makers should include medical homes in emerging electronic health record regulations. Additionally, more research is needed to learn how these records can enhance team care.
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                Author and article information

                Contributors
                devoej@ohsu.edu
                hoopesm@ochin.org
                nelsonc@ochin.org
                cohendj@ohsu.edu
                503-943-2516 , sumica@ochin.org
                haljenni@ohsu.edu
                angierh@ohsu.edu
                marinom@ohsu.edu
                omalleyj@ohsu.edu
                rachel.gold@kpchr.org
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                10 May 2018
                10 May 2018
                2018
                : 18
                : 354
                Affiliations
                [1 ]GRID grid.429963.3, OCHIN, Inc., ; 1881 SW Naito Parkway, Portland, OR 97201 USA
                [2 ]ISNI 0000 0000 9758 5690, GRID grid.5288.7, Department of Family Medicine, , Oregon Health & Science University, ; 3181 Sam Jackson Road, Mail Code FM, Portland, OR 97239 USA
                [3 ]ISNI 0000 0004 0455 9821, GRID grid.414876.8, Kaiser Permanente Northwest Center for Health Research, ; 3800 N Interstate Avenue, Portland, OR 97211 USA
                Author information
                http://orcid.org/0000-0002-9388-0830
                Article
                3159
                10.1186/s12913-018-3159-x
                5946500
                29747644
                38986c41-8333-460f-a82c-0af5bf1ab0a1
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 November 2017
                : 26 April 2018
                Funding
                Funded by: Patient-Centered Outcomes Research Institute (US)
                Award ID: 308
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                children,health insurance,medicaid,chip,community health centers,electronic health record

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