Assessing seizure burden in pediatric epilepsy using an electronic medical record-based tool through a common data element approach

被引:16
|
作者
Fitzgerald, Mark P. [1 ,2 ,3 ]
Kaufman, Michael C. [1 ,2 ,4 ]
Massey, Shavonne L. [1 ,2 ,3 ]
Fridinger, Sara [1 ,3 ]
Prelack, Marisa [1 ,3 ]
Ellis, Colin [1 ,2 ,3 ]
Ortiz-Gonzalez, Xilma [1 ,2 ,3 ]
Fried, Lawrence E. [1 ,3 ]
DiGiovine, Marissa P. [1 ,3 ]
Melamed, Susan [1 ]
Malcolm, Marissa [1 ]
Banwell, Brenda [1 ,3 ]
Stephenson, Donna [1 ,3 ]
Witzman, Stephanie M. [1 ]
Gonzalez, Alexander [4 ]
Dlugos, Dennis [1 ,3 ]
Kessler, Sudha Kilaru [1 ,3 ]
Goldberg, Ethan M. [1 ,2 ,3 ]
Abend, Nicholas S. [1 ,3 ]
Helbig, Ingo [1 ,2 ,3 ,4 ]
机构
[1] Childrens Hosp Philadelphia, Div Neurol, Philadelphia, PA 19104 USA
[2] Childrens Hosp Philadelphia, Epilepsy NeuroGenet Initiat ENGIN, Philadelphia, PA 19104 USA
[3] Univ Penn, Dept Neurol, Perelman Sch Med, Philadelphia, PA 19104 USA
[4] Childrens Hosp Philadelphia, Dept Biomed & Hlth Informat DBHi, Philadelphia, PA 19104 USA
关键词
common data elements; epilepsy outcomes; health care disparities; seizure frequency; telemedicine; HEALTH RECORD; DISPARITIES; COVID-19;
D O I
10.1111/epi.16934
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective Improvement in epilepsy care requires standardized methods to assess disease severity. We report the results of implementing common data elements (CDEs) to document epilepsy history data in the electronic medical record (EMR) after 12 months of clinical use in outpatient encounters. Methods Data regarding seizure frequency were collected during routine clinical encounters using a CDE-based form within our EMR. We extracted CDE data from the EMR and developed measurements for seizure severity and seizure improvement scores. Seizure burden and improvement was evaluated by patient demographic and encounter variables for in-person and telemedicine encounters. Results We assessed a total of 1696 encounters in 1038 individuals with childhood epilepsies between September 6, 2019 and September 11, 2020 contributed by 32 distinct providers. Childhood absence epilepsy (n = 121), Lennox-Gastaut syndrome (n = 86), and Dravet syndrome (n = 42) were the most common epilepsy syndromes. Overall, 43% (737/1696) of individuals had at least monthly seizures, 17% (296/1696) had a least daily seizures, and 18% (311/1696) were seizure-free for >12 months. Quantification of absolute seizure burden and changes in seizure burden over time differed between epilepsy syndromes, including high and persistent seizure burden in patients with Lennox-Gastaut syndrome. Individuals seen via telemedicine or in-person encounters had comparable seizure frequencies. Individuals identifying as Hispanic/Latino, particularly from postal codes with lower median household incomes, were more likely to have ongoing seizures that worsened over time. Significance Standardized documentation of clinical data in childhood epilepsies through CDE can be implemented in routine clinical care at scale and enables assessment of disease burden, including characterization of seizure burden over time. Our data provide insights into heterogeneous patterns of seizure control in common pediatric epilepsy syndromes and will inform future initiatives focusing on patient-centered outcomes in childhood epilepsies, including the impact of telemedicine and health care disparities.
引用
下载
收藏
页码:1617 / 1628
页数:12
相关论文
共 50 条
  • [41] Implementation of a resident night float system in a surgery department in Korea for 6 months: electronic medical record-based big data analysis and medical staff survey
    Yu, Hyeong Won
    Choi, June Young
    Park, Young Suk
    Park, Hyung Sub
    Choi, Youngrok
    Ahn, Sang-Hoon
    Kang, Eunyoung
    Oh, Heung-Kwon
    Kim, Eun-Kyu
    Cho, Jai Young
    Kim, Duck-Woo
    Park, Do Joong
    Yoon, Yoo-Seok
    Kang, Sung Bum
    Kim, Hyung-Ho
    Han, Ho-Seong
    Lee, Taeseung
    ANNALS OF SURGICAL TREATMENT AND RESEARCH, 2019, 96 (05) : 209 - 215
  • [42] Assessing Asthma Control Using Electronic Medical Record Data Across Six Health Care Service Sites
    Mularski, R. A.
    McBurnie, M.
    Schatz, M.
    Krishnan, J. A.
    Puro, J. E.
    Williams, A. E.
    Millard, M.
    Hu, W. R.
    Au, D. H.
    Hazlehurst, B.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187
  • [43] Ensuring Effective Care Transition Communication: Implementation of an Electronic Medical Record-Based Tool for Improved Cancer Treatment Handoffs Between Clinic and Infusion Nurses
    Pandya, Chintan
    Clarke, Tammy
    Scarsella, Elizabeth
    Alongi, Alex
    Amport, Stephanie Buia
    Hamel, Lauren
    Dougherty, David
    JOURNAL OF ONCOLOGY PRACTICE, 2019, 15 (05) : E480 - E489
  • [44] Electronic Health Record (Dossier Medical Personnel) as a Major Tool to Improve Healthcare in France: An Approach through the Situational Semiotic
    Bourret, Christian
    NETWORKED DIGITAL TECHNOLOGIES, PT 2, 2010, 88 : 7 - 14
  • [45] SURVIVAL OUTCOMES AFTER FIRST-LINE THERAPY IN FOLLICULAR LYMPHOMA USING A UNITED STATES ELECTRONIC MEDICAL RECORD-BASED COHORT
    Galaznik, A.
    Bell, J.
    Hamilton, L.
    Ogbonnaya, A.
    Raju, A.
    Hennenfent, K.
    Eaddy, M.
    Shou, Y.
    HAEMATOLOGICA, 2017, 102 : 750 - 751
  • [46] USING ELECTRONIC MEDICAL RECORD DATA FOR LOCAL SURVEILLANCE TO PREDICT HOSPITALIZATION IN ACUTE ASTHMA IN THE PEDIATRIC EMERGENCY DEPARTMENT
    Patel, Shilpa J.
    Wang, Zuyi
    Teach, Stephen J.
    Freishtat, Robert J.
    Chamberlain, James
    JOURNAL OF INVESTIGATIVE MEDICINE, 2015, 63 (03) : 573 - 574
  • [47] Demographic Profile and Prescribing Patterns of Anti-epileptic Drugs in Indian Epilepsy Patients: Electronic Medical Record-Based Nation-Wide Retrospective Cohort Study
    Bansal, Atmaram
    Shah, Shalin
    Kumar, Shiva
    Haldar, Amit
    Madhusudan, B. K.
    Brahma, Smita
    Gaurav, Kumar
    Pinto, Colette
    Mane, Amey
    Shah, Snehal
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2022, 14 (03)
  • [48] Angiotensin Receptor Blockers and the Risk of Suspected Drug-Induced Liver Injury: A Retrospective Cohort Study Using Electronic Health Record-Based Common Data Model in South Korea
    Kim, Hyunjoo
    Son, Nayeong
    Jeong, Dahee
    Yoo, Myungsik
    Choi, In Young
    Choi, Wona
    Chung, Yeon Woong
    Ko, Sung Woo
    Byun, Seonjeong
    Im, Sun
    Sim, Da Woon
    Seo, Jewon
    Kang, Min-Gyu
    Lee, Jun Kyu
    Seo, Young-Gyun
    An, Hye-Ji
    Kim, Yeesuk
    Chae, Sungeu
    Jun, Dae Won
    Chang, Dong-Jin
    Kim, Seong Geun
    Yi, Siyeon
    Yang, Hyeon-Jong
    Lee, Inho
    Park, Hye Jung
    Lee, Jae-Hyun
    Kim, Bonggi
    Lee, Eunkyung Euni
    DRUG SAFETY, 2024, 47 (07) : 673 - 686
  • [49] MIND Plug-in: Development of an Electronic Medical Record based data collection tool for research in autism and neurodevelopmental disorders
    Pulmano, Christian E.
    Dy, Angel Belle C.
    Wenceslao, Stephen John Matthew
    Tanchanco, Lourdes S.
    Estuar, Maria Regina Justina E.
    CENTERIS2019--INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/PROJMAN2019--INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/HCIST2019--INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, 2019, 164 : 646 - 653
  • [50] Patient characteristics and antiseizure medication pathways in newly diagnosed epilepsy: Feasibility and pilot results using the common data model in a single-center electronic medical record database
    Spotnitz, Matthew
    Ostropolets, Anna
    Castano, Victor G.
    Natarajan, Karthik
    Waldman, Genna J.
    Argenziano, Michael
    Ottman, Ruth
    Hripcsak, George
    Choi, Hyunmi
    Youngerman, Brett E.
    EPILEPSY & BEHAVIOR, 2022, 129