Increase in blood pressure precedes distress behavior in nursing home residents with dementia. by Kenneth S Boockvar, Tianwen Huan, Kimberly Curyto, Sei Lee, Orna Intrator

“…<h4>Methods</h4>We identified long-stay Veterans Affairs NH residents with dementia in 2019-20 electronic health data. Each individual with a BP reading and a DBD incident according to a structured behavior note on a calendar day (DBD group) was compared with an individual with a BP reading but without a DBD incident on that same day (comparison group). …”
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Impact of tiered restrictions in December 2020 on COVID-19 hospitalisations in England: a synthetic control study by Daniel Hungerford, Benjamin Barr, Mark Green, Marta García-Fiñana, Iain Buchan, Xingna Zhang

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Adverse drug reactions, multimorbidity and polypharmacy: a prospective analysis of 1 month of medical admissions by Girvan Burnside, Munir Pirmohamed, Rostam Osanlou, Dyfrig A Hughes, Lauren Walker

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Digital health technologies and innovation patterns in diabetes ecosystems by Odile-Florence Giger, Estelle Pfitzer, Wasu Mekniran, Hannes Gebhardt, Elgar Fleisch, Mia Jovanova, Tobias Kowatsch

“…Visualizing the value streams among these organizations highlights the crucial importance of individual health data (RQ2). Furthermore, our analysis revealed four major innovation patterns within the digital diabetes ecosystem: open ecosystem strategies, outcome-based payment models, platformization, and user-centric software (RQ3). …”
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Lifespan cardiometabolic exposures are associated with midlife white matter microstructure: The Bogalusa Heart Study by Reagan Dugan, Sreekrishna Ramakrishnapillai, Julia St Amant, Kori Murray, Kevin McKlveen, Maryam Naseri, Kaitlyn Madden, Lydia Bazzano, Owen Carmichael

“…However, studies relating compartment model microstructural measures to longitudinal cardiometabolic health data are rare. Methods: 130 cognitively healthy participants in the Bogalusa Heart Study completed diffusion MRI scans. …”
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Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

“…We shared all data and software deliverables using PhysioNet Credentialed Health Data License 1.5.0 to enable further research on Automatic Radiology Report Generation.…”
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Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

“…International Classification of Diseases (ICD), Tenth Revision (ICD-10) codes are used to classify injuries in administrative health data and are widely used for health care planning and delivery, research, and policy. …”
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Googling Patients by Emily Beer

“…An important part of our social discourse on health, data security, and privacy involves how we treat or ought to treat that data and what protections we should afford to patients as consumers. …”
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Differences between frequent emergency department users in a secondary rural hospital and a tertiary suburban hospital in central Japan: a prevalence study by Makoto Kaneko, Masashi Okubo, Michael D Fetters, Machiko Inoue, Allison K Cullen Furgal, Benjamin F Crabtree

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Evaluating the Impacts of Community-Campus Engagement on Population Health in Ottawa and Thunder Bay, Canada: Protocol for a Mixed Methods Contribution Analysis by David Buetti, Cynthia Larche, Michael Fitzgerald, Isabelle Bourgeois, Erin Cameron, Kady Carr, Tim Aubry, Sydney Persaud, Claire E Kendall

“…We will use Mayne's mixed methods contribution analysis in three stages: (1) formulating a theory of change that outlines the expected contributions of CCE to population health outcomes; (2) gathering qualitative and quantitative data in line with the established Theory of Change; the data will be collected from various sources, including case studies of existing CityStudio projects, a web-based CCE stakeholder survey, a literature review, and population and community health data; and (3) reviewing the gathered evidence to determine the extent of CCE impacts on population health. …”
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs by Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman

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Impact of adjuvant trastuzumab therapy and its discontinuation on cardiac function and mortality in patients with early-stage breast cancer: An analysis based on the Japanese Recei... by Keiko Miyazato, Hiroshi Ohtsu, Akihiko Shimomura, Naohiro Yonemoto, Chikako Shimizu, Kazuhiro Sase, Shinichiro Ueda

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Household air pollution exposure and risk of tuberculosis: a case–control study of women in Lilongwe, Malawi by Kenneth Maleta, Robert Krysiak, Irving Hoffman, Sam Phiri, Pamela Jagger, Ryan McCord, Anna Gallerani, Charles Jumbe, Joseph Pedit

“…While household air pollution (HAP) emitted from burning these fuels has well-established links to numerous health outcomes, the relationship between active tuberculosis (TB) and HAP exposure remains inconclusive.Methods We explore the association between HAP exposure and TB among adult women in Lilongwe’s high-density suburbs using hospital and community-based health data, objectively measured exposure to HAP, and sociodemographic data controlling for individual, household and community-level confounders. …”
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Assessing the Colorectal Cancer Landscape: A Comprehensive Exploration of Future Trends in 216 Countries and Territories from 2021 to 2040 by Meysam Olfatifar, Fariba Rafiei, Amir Sadeghi, Elnaz Ataei, Mohammad Amin Habibi, Mehdi Pezeshgi Modarres, Zohreh Ghalavand, Hamidreza Houri

“…To accomplish this, we utilized data retrieved from the Global Health Data Exchange (GHDx) query tool spanning from 1990 to 2021. …”
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Lessons for a learning health system: Effectively communicating to patients about research with their health information and biospecimens by Kayte Spector‐Bagdady, Kerry A. Ryan, Luyun Chen, Camille Giacobone, Reshma Jagsi, Reema Hamasha, Katherine Hendy, J. Denard Thomas, Jessie M. Milne, Alexandra H. Vinson, Jodyn Platt

“…The survey assessed the impact of mode of communication about health data and biospecimen sharing (via an informational poster vs. a news article) on patient perceptions of privacy, transparency, comfort, respect, and trust. …”
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Population Health Management to identify and characterise ongoing health need for high-risk individuals shielded from COVID-19: a cross-sectional cohort study by Adrian Pratt, Richard Wood, Charlie Kenward, Sam Creavin, Jennifer A Cooper

“…Segmentation used k-prototypes cluster analysis.Setting A major healthcare system in the South West of England, for which linked primary, secondary, community and mental health data are available in a system-wide dataset. …”
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How far? Travel burdens for children admitted to hospitals in the Western Cape Province of South Africa by M Richards, D le Roux, D Pienaar

“…The recently established data gathering capacity of the Provincial Health Data Centre of the Western Cape represents a new capacity to study this. …”
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Association between chronic diseases and severe periodontal disease progression: A retrospective cohort study in a city of Japan by Sayaka Nin, Yu Sun, Takami Maeno, Chihiro Nishiura, Kento Taira, Kenji Fujimoto, Jun Hamano, Sachiko Ozone, Tetsuhiro Maeno

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Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine by Yi Guo, Hua Xu, Fei Wang, Jie Xu, Jiang Bian, Robert Lucero, Mattia Prosperi

“…Introduction While there are guidelines for reporting on observational studies (eg, Strengthening the Reporting of Observational Studies in Epidemiology, Reporting of Studies Conducted Using Observational Routinely Collected Health Data Statement), estimation of causal effects from both observational data and randomised experiments (eg, A Guideline for Reporting Mediation Analyses of Randomised Trials and Observational Studies, Consolidated Standards of Reporting Trials, PATH) and on prediction modelling (eg, Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis), none is purposely made for deriving and validating models from observational data to predict counterfactuals for individuals on one or more possible interventions, on the basis of given (or inferred) causal structures. …”
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Variation in the incidence of type 1 diabetes mellitus in children and adolescents by world region and country income group: A scoping review. by Apoorva Gomber, Zachary J Ward, Carlo Ross, Maira Owais, Carol Mita, Jennifer M Yeh, Ché L Reddy, Rifat Atun

“…<h4>Methods</h4>We performed a scoping review of published studies that established the incidence of T1D in children, adolescents, and young adults aged 0-25 years at national and sub-national levels using PubMed, Embase and Global Health. Data was analyzed using R programming.<h4>Results</h4>The scoping review identified 237 studies which included T1D incidence estimates from 92 countries, revealing substantial variability in the annual incidence of T1D by age, geographic region, and country-income classification. …”
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