Article
Medicine, General & Internal
Rebecca Bendayan, Zeljko Kraljevic, Shaweena Shaari, Jayati Das-Munshi, Leona Leipold, Jaya Chaturvedi, Luwaiza Mirza, Sarah Aldelemi, Thomas Searle, Natalia Chance, Aurelie Mascio, Naoko Skiada, Tao Wang, Angus Roberts, Robert Stewart, Daniel Bean, Richard Dobson
Summary: The objective of this study was to extract physical health conditions from clinical notes in mental health services and examine their prevalence in individuals with severe mental illness. The most prevalent physical comorbidities in this population were diabetes, hypertension, and asthma, and factors such as sex, age, ethnicity, and social deprivation influenced the heterogeneity and disability levels.
Article
Health Care Sciences & Services
Alison M. Cogan, Seppo T. Rinne, Michael Weiner, Steven Simon, Jessica Davila, Elizabeth M. Yano
Summary: This paper reports on the development of a research agenda aimed at optimizing the EHR transition processes and implementation outcomes in a large, national integrated delivery system.
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)
Article
Geriatrics & Gerontology
Claire M. Campbell, Daniel R. Murphy, George E. Taffet, Anita B. Major, Christine S. Ritchie, Bruce Leff, Aanand D. Naik
Summary: The paper discusses a conceptual model for EHR implementation of quality measures, successfully implemented a depression screening quality measure in a home-based medical care setting. Additional components of early leadership, clinician buy-in, strong IT relationships, and simplified implementation processes were necessary for success.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2021)
Review
Medicine, General & Internal
Anna Buford, Henry Charles Ashworth, Farrah Lynn Ezzeddine, Sara Dada, Eliza Nguyen, Senan Ebrahim, Amy Zhang, Jordan Lebovic, Lena Hamvas, Larry J. Prokop, Sally Midani, Michael Chilazi, Fares Alahdab
Summary: This study assessed the impact of electronic health records (EHRs) on health outcomes and care for displaced people with chronic conditions and identified barriers and facilitators to EHR implementation. The results showed that EHRs improve health outcomes by increasing provider adherence to guidelines, monitoring disease indicators, and enhancing patient adherence. In asylum countries, EHRs facilitate resource allocation and screening efforts. However, barriers to EHR development, deployment, and data analysis exist in refugee settings.
Article
Medicine, General & Internal
Nikeysha Bell, Gayan Perera, David Chandran, Brendon Stubbs, Fiona Gaughran, Robert Stewart
Summary: This study investigated the factors associated with the recording of HbA1c in individuals with first diagnoses of serious mental illness (SMI) and the factors associated with HbA1c levels when recorded. The study found a relatively low level of HbA1c recording, though it has increased over time, and text extraction has improved diagnostic accuracy. Therefore, it is important to improve routine monitoring of dysglycaemia in these high-risk disorders.
Article
Public, Environmental & Occupational Health
Maya Leventer-Roberts, Ziona Haklai, Yael Applbaum, Nehama Goldberger, Dror Cohen, Ohad Levinkron, Becca Feldman, Ran Balicer
Summary: The study found that the underlying cause of death reported by the Israeli Central Bureau of Statistics is generally supported by diagnoses in Clalit's EHR, with exceptions for septicemia, accidents, and dementia which may be under-reported.
JOURNAL OF PUBLIC HEALTH
(2021)
Article
Medicine, General & Internal
Maimuna S. Majumder, Marika Cusick, Sherri Rose
Summary: The objective of this study is to investigate the strengths and limitations of different data sources used for research on infectious diseases. The study found significant differences in reported disease incidence across different data sources, indicating the need for researchers to consider data source limitations when studying epidemiology.
Article
Medicine, General & Internal
Rashmi Patel, Soon Nan Wee, Rajagopalan Ramaswamy, Simran Thadani, Jesisca Tandi, Ruchir Garg, Nathan Calvanese, Matthew Valko, A. John Rush, Miguel E. Renteria, Joydeep Sarkar, Scott H. Kollins
Summary: NeuroBlu is a repository of real-world data that contains deidentified electronic health record data from US mental healthcare providers. It enables users to perform statistical analysis and has supported epidemiological studies, data visualization, comparative effectiveness evaluations, treatment response prediction models, and NLP applications.
Article
Medicine, General & Internal
Anna Boonin Schachter, M. Austin Argentieri, Bobak Seddighzadeh, Oluwaseyi O. Isehunwa, Blake Victor Kent, Philip Trevvett, Michael McDuffie, Laura Mandel, Kenneth Pargament, Lynn G. Underwood, Alexa T. McCray, Alexandra E. Shields
Summary: Many studies have shown associations between religion and spirituality (R/S) and health, but few have looked at these relationships systematically. This study analyzed R/S survey items from 20 US cohort studies and identified 319 items, reflecting 213 unique R/S constructs and 50 R/S categories. The findings have been used to create a publicly available database, the R/S Atlas, which can help researchers identify R/S data in cohort studies and explore new research questions.
Review
Medicine, General & Internal
Jia Zhong, Jun Zhang, Honghao Fang, Larry Liu, Jipan Xie, Eric Wu
Summary: Various real-world data sources have emerged in China, aiming to generate real-world evidence for clinical and regulatory decision-making. However, there are significant barriers, including inconsistencies in terminology, non-standardised coding practices, lack of longitudinal data, and limited access and sharing of real-world data. To overcome these barriers and generate high-quality real-world data, collaborative and synergistic research networks involving multiple stakeholders are crucial.
Article
Health Care Sciences & Services
Glen B. Taksler, Jarrod E. Dalton, Adam T. Perzynski, Michael B. Rothberg, Alex Milinovich, Nikolas Krieger, Neal Dawson, Mary J. Roach, Douglas Einstadter
Summary: This article discusses the challenges and solutions when using large-scale, EHR-derived data for health services research. It emphasizes the importance of defining patient subpopulations, reliably identifying primary care providers, understanding the characteristics of EHR data, considering changes in health systems, and designing methods to identify the same patient, among other factors.
MEDICAL DECISION MAKING
(2021)
Article
Medicine, General & Internal
Ania Zylbersztejn, Kate Lewis, Vincent Nguyen, Jacob Matthews, Isaac Winterburn, Lucy Karwatowska, Sarah Barnes, Matthew Lilliman, Jennifer Saxton, Antony Stone, Kate Boddy, Johnny Downs, Stuart Logan, Jugnoo Rahi, Kristine Black-Hawkins, Lorraine Dearden, Tamsin Ford, Katie Harron, Bianca De Stavola, Ruth Gilbert
Summary: One-third of children in England receive special educational needs (SEN) provision during their school career. The proportion of children with SEN provision varies between schools and demographic groups, which may reflect variation in need, inequitable provision, and systemic factors. There is insufficient evidence on whether SEN provision improves health and education outcomes.
Review
Health Care Sciences & Services
Umar Ruhi, Ritesh Chugh
Summary: This paper provides an integrative review of the extant literature on personal health records (PHRs), offering a high-level functional utility model of PHR features and functions, conceptualizing a consumer value framework of PHRs, and summarizing the benefits of PHRs for various healthcare constituents.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Medicine, General & Internal
Natasha Chilman, Xingyi Song, Angus Roberts, Esther Tolani, Robert Stewart, Zoe Chui, Karen Birnie, Lisa Harber-Aschan, Billy Gazard, David Chandran, Jyoti Sanyal, Stephani Hatch, Anna Kolliakou, Jayati Das-Munshi
Summary: This study successfully developed and applied natural language processing technology to extract patient occupations from the free-text of mental health records, achieving good levels of precision and recall. This can be used to enhance clinical studies on the broader social determinants of health using electronic health records.
Review
Health Care Sciences & Services
Timothy Charles Kariotis, Megan Prictor, Shanton Chang, Kathleen Gray
Summary: This paper conducted a scoping review to explore the impact of electronic health records (EHRs) on information practices in mental health contexts, as well as how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs. The review included 40 articles and found that EHRs improved the documentation of information compared to paper, but mental health-related information was often missing, especially sensitive information. EHRs introduced standardized documentation practices that raised issues in the mental health context. EHRs also disrupted information workflows and had usability issues. The management of sensitive information in EHRs was problematic. The study highlighted the need for EHRs to better reflect the complexity and sensitivity of information practices and workflows in mental health contexts.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)