Last data update: Dec 02, 2024. (Total: 48272 publications since 2009)
Records 1-4 (of 4 Records) |
Query Trace: Bierman E[original query] |
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Assessing Progress Toward the Vision of a Comprehensive, Shared Electronic Care Plan: Scoping Review.
Norton JM , Ip A , Ruggiano N , Abidogun T , Camara DS , Fu H , Hose BZ , Miran S , Hsiao CJ , Wang J , Bierman AS . J Med Internet Res 2022 24 (6) e36569 BACKGROUND: Care plans are central to effective care delivery for people with multiple chronic conditions. But existing care plans-which typically are difficult to share across care settings and care team members-poorly serve people with multiple chronic conditions, who often receive care from numerous clinicians in multiple care settings. Comprehensive, shared electronic care (e-care) plans are dynamic electronic tools that facilitate care coordination and address the totality of health and social needs across care contexts. They have emerged as a potential way to improve care for individuals with multiple chronic conditions. OBJECTIVE: To review the landscape of e-care plans and care plan-related initiatives that could allow the creation of a comprehensive, shared e-care plan and inform a joint initiative by the National Institutes of Health and the Agency for Healthcare Research and Quality to develop e-care planning tools for people with multiple chronic conditions. METHODS: We conducted a scoping review, searching literature from 2015 to June 2020 using Scopus, Clinical Key, and PubMed; we also searched the gray literature. To identify initiatives potentially missing from this search, we interviewed expert informants. Relevant data were then identified and extracted in a structured format for data synthesis and analysis using an expanded typology of care plans adapted to our study context. The extracted data included (1) the perspective of the initiatives; (2) their scope, (3) network, and (4) context; (5) their use of open syntax standards; and (6) their use of open semantic standards. RESULTS: We identified 7 projects for e-care plans and 3 projects for health care data standards. Each project provided critical infrastructure that could be leveraged to promote the vision of a comprehensive, shared e-care plan. All the e-care plan projects supported both broad goals and specific behaviors; 1 project supported a network of professionals across clinical, community, and home-based networks; 4 projects included social determinants of health. Most projects specified an open syntax standard, but only 3 specified open semantic standards. CONCLUSIONS: A comprehensive, shared, interoperable e-care plan has the potential to greatly improve the coordination of care for individuals with multiple chronic conditions across multiple care settings. The need for such a plan is heightened in the wake of the ongoing COVID-19 pandemic. While none of the existing care plan projects meet all the criteria for an optimal e-care plan, they all provide critical infrastructure that can be leveraged as we advance toward the vision of a comprehensive, shared e-care plan. However, critical gaps must be addressed in order to achieve this vision. |
Health Information Technology to Improve Care for People with Multiple Chronic Conditions.
Samal L , Fu H , Djibril C , Wang J , Bierman A , Dorr DA . Health Serv Res 2021 56 Suppl 1 1006-1036 OBJECTIVE: To review evidence regarding the use of Health Information Technology (health IT) interventions aimed at improving care for people living with multiple chronic conditions (PLWMCC) in order to identify critical knowledge gaps. DATA SOURCES: We searched MEDLINE, CINAHL, PsycINFO, EMBASE, Compendex, and IEEE Xplore databases for studies published in English between 2010-2020. STUDY DESIGN: We identified studies of health IT interventions for PLWMCC across three domains: self-management support, care coordination, and algorithms to support clinical decision-making. DATA COLLECTION/EXTRACTION METHODS: Structured search queries were created and validated. Abstracts were reviewed iteratively to refine inclusion and exclusion criteria. The search was supplemented by manually searching the bibliographic sections of the included studies. The search included a forward citation search of studies nested within a clinical trial to identify the clinical trial protocol and published clinical trial results. Data was extracted independently by two reviewers. PRINCIPAL FINDINGS: The search yielded 1907 articles; 44 were included. Nine randomized controlled trials (RCTs) and 35 other studies including quasi-experimental, usability, feasibility, qualitative studies, or development/validation studies of analytic models. Five RCTs had positive results and the remaining four RCTs showed that the interventions had no effect. The studies address individual patient engagement and assess patient-centered outcomes such as quality of life. Few RCTs assess outcomes such as disability and none assess mortality. CONCLUSIONS: Despite a growing body of literature on health IT interventions or multicomponent interventions including a health IT component for chronic disease management, current evidence for applying health IT solutions to improve care for PLWMCC is limited. The body of literature included in this review provides critical information on the state of the science as well as the many gaps that need to be filled for digital health to fulfill its promise in supporting care delivery that meets the needs of PLWMCC. This article is protected by copyright. All rights reserved. |
Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source
Suls J , Bayliss EA , Berry J , Bierman AS , Chrischilles EA , Farhat T , Fortin M , Koroukian SM , Quinones A , Silber JH , Ward BW , Wei M , Young-Hyman D , Klabunde CN . Med Care 2021 59 (8) 743-756 BACKGROUND: Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures. OBJECTIVE: The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures. DESIGN: Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018. RESULTS: Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity. CONCLUSIONS: The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources. |
Trends and characteristics of CDC Global Rapid Response Team deployments - a 6-month report, October 2018-March 2019
Ben Hamida A , Bugli D , Hoffman A , Greiner AL , Harley D , Saindon JM , Walsh J , Bierman E , Mallory J , Blaylock K , Shetty S , Bensyl DM , Wheeler BD . Public Health Rep 2020 135 (3) 33354920914662 The Centers for Disease Control and Prevention (CDC) Global Rapid Response Team (GRRT) was launched in June 2015 to strengthen the capacity for international response and to provide an agency-wide roster of qualified surge-staff members who can deploy on short notice and for long durations. To assess GRRT performance and inform future needs for CDC and partners using rapid response teams, we analyzed trends and characteristics of GRRT responses and responders, for deployments of at least 1 day during October 1, 2018, through March 31, 2019. One hundred twenty deployments occurred during the study period, corresponding to 2645 person-days. The median deployment duration was 19 days (interquartile range, 5-30 days). Most deployments were related to emergency response (n = 2367 person-days, 90%); outbreaks of disease accounted for almost all deployment time (n = 2419 person-days, 99%). Most deployments were to Africa (n = 1417 person-days, 54%), and epidemiologists were the most commonly deployed technical advisors (n = 1217 person-days, 46%). This case study provides useful information for assessing program performance, prioritizing resource allocation, informing future needs, and sharing lessons learned with other programs managing rapid response teams. GRRT has an important role in advancing the global health security agenda and should continuously be assessed and adjusted to new needs. |
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