Three recently diagnosed cases of caregiver-fabricated illness in a child at Seattle Children's Hospital shed light on a new manifestation of their caretakers' attention seeking. The patients' mothers were actively blogging about their children's reputed illnesses. Although it is not uncommon for parents of chronically ill children to blog about their child's medical course, specific themes in these blogs of parents suspected of medically abusing their children were noted. In particular, gross distortions of the information parents had received from medical providers were presented online, describing an escalation of the severity of their children's illnesses. The mothers reported contacting palliative care teams and Wish organizations, independently from their medical providers' recommendations. They sought on-line donations for their children's health needs. We believe these blogs provide additional direct evidence of the suspected caregivers' fabrications. Although we have not performed formal content analysis, blogs might also provide insight into the caretakers' motivations. Protective Services and/or police investigators could consider querying the internet for blogs related to children at risk for caregiver-fabricated illness in a child. These blogs, if viewed in parallel with the children's medical records, could assist medical diagnosis and legal documentation of medical fabrication and assist in protective planning for the affected children.
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http://dx.doi.org/10.1016/j.chiabu.2013.12.002 | DOI Listing |
Discov Ment Health
January 2025
Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Smoking is highly prevalent and persistent among people with mental illness, but implementation of smoking cessation care by mental healthcare professionals (MHCPs) is lagging behind. This study took a broad approach to understanding implementation of stop smoking support (SSS) by MHCPs (N = 220 for main analyses), incorporating background characteristics, psychosocial factors, client factors, and organizational/environmental factors. Variable selection was based on previous work and the Consolidated Framework for Implementation Research.
View Article and Find Full Text PDFAnn Epidemiol
January 2025
Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration, Rockville, MD.
Resuscitation
January 2025
Division of Neurology, Department of Pediatrics, The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Aims: To determine which patient and cardiac arrest factors were associated with obtaining neuroimaging after in-hospital cardiac arrest, and among those patients who had neuroimaging, factors associated with which neuroimaging modality was obtained.
Methods: Retrospective cohort study of patients who survived in-hospital cardiac arrest (IHCA) and were enrolled in the ICU-RESUS trial (NCT02837497).
Results: We tabulated ultrasound (US), CT, and MRI frequency within 7 days following IHCA and identified patient and cardiac arrest factors associated with neuroimaging modalities utilized.
N Z Med J
January 2025
Department of Public Health, University of Otago, Wellington, Aotearoa New Zealand.
Background: The prevalence of diabetes has been increasing in Aotearoa New Zealand by approximately 7% per year, and is three times higher among Māori and Pacific peoples than in Europeans. The depth of the diabetes epidemic, and the expansive breadth of services required for its management, elevate the need for high-quality evidence on the projected future burden of this complex disease.
Methods: In this manuscript we have projected the prevalence of diabetes (type 1 and type 2 combined) out to 2040-2044 using age-period-cohort modelling.
Ann Med
December 2025
Department of Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Background: This study was aimed to explore the global burden and trends of Clostridioides difficile infections (CDI) associated diseases.
Methods: Data for this study were obtained from the Global Burden of Disease Study 2021. The burden of CDI was assessed using the age-standardized rates of disability-adjusted life years (ASR-DALYs) and deaths (ASDRs).
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