Defining Opioid-related Problems Using a Health Care Safety Net Institution's Inpatient Electronic Health Records: Limitations of Diagnosis-based Definitions.

BACKGROUND: Measuring clinically relevant opioid-related problems in health care systems is challenging due to the lack of standard definitions and coding practices. Well-defined, opioid-related health problems (ORHPs) would improve prevalence estimates and evaluation of clinical interventions, crisis response, and prevention activities. We sought to estimate prevalence of opioid use disorder (OUD), opioid misuse, and opioid poisoning among inpatients at a large, safety net, health care institution. METHODS: Our study included events documented in the electronic health records (EHRs) among hospitalized patients at Denver Health Medical Center during January 1, 2017 to December 31, 2018. Multiple EHR markers (ie, opioid-related diagnostic codes, clinical assessment, laboratory results, and free-text documentation) were used to develop diagnosis-based and extended definitions for OUD, opioid misuse, and opioid poisoning. We used these definitions to estimate number of hospitalized patients with these conditions. RESULTS: During a 2-year study period, 715 unique patients were identified solely using opioid-related diagnostic codes; OUD codes accounted for the largest proportion (499/715, 69.8%). Extended definitions identified an additional 973 unique patients (~136% increase), which includes 155/973 (15.9%) who were identified by a clinical assessment marker, 1/973 (0.1%) by a laboratory test marker, and 817/973 (84.0%) by a clinical documentation marker. CONCLUSIONS: Solely using diagnostic codes to estimate prevalence of clinically relevant ORHPs missed most patients with ORHPs. More inclusive estimates were generated using additional EHR markers. Improved methods to estimate ORHPs among a health care system's patients would more fully estimate organizational and economic burden to more efficiently allocate resources and ensure capacity to provide clinical services.

Hope, HIV and health: a prospective study.

In this study we examined the impact of trait hope on the health of 16 HIV+ individuals. In 2006, hopefulness was assessed with a comprehensive measure derived from an integrative theory of hope. At this time, we also collected self-reported health data as well as blood samples that provided an index of immunological status (CD4). Subsequently, at 8, 24, and 48 months we obtained follow-up CD4 levels. To rule out a potential confound, we computed and found, no significant correlations between self-reports of hope or heath, and blind ratings of illness denial provided by a case manager. Total hope scores as well as hope sub-scores were significantly correlated with various dimensions of self-reported health as well as CDC established CD4 classification levels, both concurrently and prospectively.

Missed appointments during COVID-19: The impact of telehealth for persons experiencing homelessness with substance use disorders.

We examined the impact of telehealth on appointment retention among individuals with substance use disorder (SUD) by housing status. We evaluated appointment status using multivariate logistic regression with primary predictor variables of visit modality, patient's housing status and interaction between these two variables. Between March 1 and September 30, 2020, there were 18,206 encounters among 1,626 clients with SUD. For telehealth encounters, the probability of an appointment no-show was significantly higher for persons experiencing homelessness compared to stably housed (37% versus 25%, p < 0.001). Housing status influences the effectiveness of telehealth as a modality of healthcare delivery for individuals with SUD.