Journal of general internal medicine
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There is growing interest in incorporating social determinants of health (SDoH) data collection in inpatient hospital settings to inform patient care. However, there is limited information on this data collection and its use in inpatient general internal medicine (GIM). This scoping review sought to describe the current state of the literature on SDoH data collection and its application to patient care in inpatient GIM settings. ⋯ There is limited evidence to guide the collection and use of SDoH data in inpatient GIM settings. This review highlights the need for integrated care, the role of the electronic health record, and social history taking, all of which may benefit from more robust SDoH data collection. Future research should examine the feasibility and acceptability of SDoH integration in inpatient GIM settings.
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In 2011, the U. S. Department of Veterans Health (VA) implemented a homeless-tailored primary care medical home model called the Homeless Patient Aligned Care Teams (HPACTs). ⋯ Included studies were categorized into studies that described the following: (1) early HPACT pilot implementation; (2) HPACT's association with service quality and utilization; and (3) specialized HPACT programs. Together, studies in this review suggest HPACT is associated with reductions in emergency department utilization and improvements in primary care utilization, engagement, and positive patient experiences; however, the methodological rigor of the included studies was low, and thus, these findings should only be considered preliminary. There is a need for randomized controlled trials assessing the impact of the PACT model on key outcomes of interest, as well as to determine whether the model is a viable way to manage healthcare for persons experiencing homelessness outside of the VA system.
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Telemedicine's dramatic increase during the COVID-19 pandemic elevates the importance of addressing patient-care gaps in telemedicine, especially for patients with limited English proficiency. ⋯ Among linguistically diverse patients with limited English proficiency, video telemedicine use differed by specific language. Disaggregating patient subpopulation data is necessary for identifying those at greatest risk of being negatively impacted by the digital divide.
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Randomized Controlled Trial
Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.
Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM)-a provider-facing dashboard that utilizes predictive analytics to stratify patients prescribed opioids based on risk for overdose/suicide. ⋯ Among VHA patients prescribed opioid analgesics, identifying high risk patients and mandating they receive an interdisciplinary case review was associated with a decrease in all-cause mortality. Results suggest that providers can leverage predictive analytic-targeted population health approaches and interdisciplinary collaboration to improve patient outcomes.
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Observational Study
Population-Based Opioid Prescribing and Overdose Deaths in the USA: an Observational Study.
Rising opioid-related death rates have prompted reductions of opioid prescribing, yet limited data exist on population-level associations between opioid prescribing and opioid-related deaths. ⋯ Regional decreases in opioid prescriptions were associated with declines in overdose deaths involving prescription opioids, but were also associated with increases in deaths involving synthetic opioids (primarily fentanyl). Individual-level inferences are limited by the ecological nature of the analysis.