Emergency department observation units: A scoping review.

Objective: This scoping review assesses existing research on observation units, examining diagnoses, clinical outcomes, finances, and health system comparisons to identify knowledge gaps related to patients in dedicated emergency observation units.

Methods: The scoping review follows the Joanna Briggs Institute (JBI) methodology and was published prior to the review on Open Science Framework. Databases searched included MEDLINE/PubMed, Embase (Ovid), and CINAHL (Ebsco), with unpublished studies and gray literature identified via Web of Science.

Leveraging Existing Datasets to Advance Family Caregiving Research: Opportunities to Measure What Matters.

More than 17.7 million people in the U.S.

Dying with dementia in nursing homes: A population-based study of decedents and their families.

Background: Families play a critical role in end-of-life (EOL) care for nursing home (NH) residents with dementia. Despite the important role of family, little is known about the availability and characteristics of families of persons with dementia who die in NHs.

Methods: This is a retrospective cohort study of 18,339 individuals 65 years and older with dementia who died in a Utah NH between 1998 and 2016, linked to their first-degree family (FDF) members (n = 52,566; spouses = 11.

Family Ties at End-of-Life: Characteristics of Nursing Home Decedents With and Without Family.

Background: Little is known about nursing home (NH) residents' family characteristics despite the important role families play at end-of-life (EOL).

Objective: To describe the size and composition of first-degree families (FDFs) of Utah NH residents who died 1998-2016 ( = 43,405).

Methods: Using the Utah Population Caregiving Database, we linked NH decedents to their FDF ( = 124,419; spouses = 10.

The case for open science: rare diseases.

The premise of Open Science is that research and medical management will progress faster if data and knowledge are openly shared. The value of Open Science is nowhere more important and appreciated than in the rare disease (RD) community. Research into RDs has been limited by insufficient patient data and resources, a paucity of trained disease experts, and lack of therapeutics, leading to long delays in diagnosis and treatment.

An update on the use of health information technology in newborn screening.

Newborn screening (NBS) has high-stakes health implications and requires rapid and effective communication between many people and organizations. Multiple NBS stakeholders worked together to create national guidance for reporting NBS results with HL7 (Health Level 7) messages that contain LOINC (Logical Observation Identifiers Names and Codes) and SNOMED-CT (Systematized Nomenclature of Medicine-Clinical Terms) codes, report quantitative test results, and use standardized computer-readable UCUM units of measure. This guidance (a LOINC panel and an example annotated HL7 message) enables standard HL7 v2.

Standardizing newborn screening results for health information exchange.

Newborn screening (NBS) is a complex process that has high-stakes health implications and requires rapid and effective communication between many people and organizations. Currently, each NBS laboratory has its own method of reporting results to state programs, hospitals and individual providers, with wide variation in content and format. Pediatric care providers receive reports by mail, email, fax or telephone, depending on whether the results are normal or abnormal.