Journal of general internal medicine
-
Systematic identification of patients allows researchers and clinicians to test new models of care delivery. EHR phenotypes-structured algorithms based on clinical indicators from EHRs-can aid in such identification. ⋯ EHR phenotypes efficiently identified patients who died with late-stage cancer or CKD. Future EHR phenotypes can prioritize specificity over sensitivity, and incorporate stratification of high- and low-palliative care need. EHR phenotypes are a promising method for identifying patients for research and clinical purposes, including equitable distribution of specialty palliative care.
-
Prescribing patterns for episodic medications, such as antibiotics, might make useful surrogate measures of a physician's overall prescribing practice because use is common, and variation exists across prescribers. However, the extent to which a physician's current antibiotic prescribing practices are associated with the rate of prescription of other potentially harmful medications remains unknown. ⋯ The intensity of a physician's episodic antibiotic prescribing was significantly associated with the likelihood of new and continued prescribing of opioids, benzodiazepines and proton-pump inhibitors in nursing homes. Patterns of episodic prescribing may be a useful mechanism to target physician-level interventions to optimize general prescribing behaviors, instead of prescribing behaviors for single medications.
-
Developers of medicines-related apps collect a variety of technical, health-related, and identifying user information to improve and tailor services. User data may also be used for promotional purposes. Apps, for example, may be used to skirt regulation of direct-to-consumer advertising of medicines. Researchers have documented routine and extensive sharing of user data with third parties for commercial purposes, but little is known about the ways that app developers or "first" parties employ user data. ⋯ App developers may employ users' data in a feedback loop to deliver highly targeted promotional messages from developers, and commercial sponsors, including the pharmaceutical industry. These practices call into question developers' claims about the trustworthiness and independence of purportedly evidenced-based medicines information and may create a risk for mis- or overtreatment.