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.

Total cost of care associated with opioid use disorder treatment.

The opioid epidemic in the United States disproportionately affects Medicaid beneficiaries than other groups. This results in a significant financial burden on state Medicaid programs. In this analysis, we investigate the association of medication for opioid use disorder (MOUD) treatment initiation and linkage to ongoing care on overall healthcare costs of Medicaid Fee-for-Service patients. We conducted a retrospective study among adult patients diagnosed with opioid use disorder (OUD) and who had a clinical encounter at a safety-net institution in Denver Colorado in 2020. Three categories of MOUD status of patients were defined: 1) identified with OUD but did not receive MOUD; 2) initiated MOUD but not linked to ongoing treatment and 3) received MOUD and linked to ongoing treatment. Our outcome variable was per-member per-month total healthcare cost. We estimated a multivariable model to test the association between healthcare cost and MOUD status, while controlling for demographic and risk classification variables. We found that in individuals with OUD who initiated MOUD treatment but were not linked to ongoing care had the highest healthcare cost, while those who were linked to ongoing MOUD treatment had the lowest healthcare cost. MOUD treatment is not only effective at addressing the significant morbidity and mortality burden of OUD but also associated with decreased financial cost, which is disproportionately incurred by Medicaid. Additional policy and care delivery changes are needed to focus efforts to improve linkage to ongoing treatment.

A retrospective, descriptive study of hepatitis C testing, prevalence, and care continuum among adults on probation.

BACKGROUND: Despite constituting the largest segment of the correctional population, individuals on court-ordered probation remain largely unstudied with respect to hepatitis C virus (HCV) testing and linkage-to-care. We conducted a retrospective, descriptive analysis to estimate prevalence of diagnosed HCV and the subsequent HCV care cascade among a cohort of individuals enrolled in an adult probation program over a 25-month period in Denver, Colorado. METHODS: We utilized probabilistic matching with first and last name, sex, and birthdate to identify individuals enrolled in probation between July 1, 2016 and July 30, 2018 who had a medical record at the participating safety-net healthcare institution as of December 31, 2019. Electronic medical record data were queried for evidence of HCV testing and care through June 30, 2021. The state HCV registry was also queried for prevalence of reported HCV cases among the cohort. RESULTS: This cohort included 8,903 individuals; 6,920 (78%) individuals had a medical record at the participating institution, and of these, 1,037 (15%) had ever been tested for HCV (Ab or RNA) and 308 (4% of those with a medical record, 30% of those tested) had detectable HCV RNA. Of these, 105 (34%) initiated HCV treatment, 89 (29%) had a subsequent undetectable HCV viral load, and 65 (21%) had documentation of HCV cure. Eleven percent of the total cohort had records of positive HCV Ab or RNA tests in the state HCV registry. CONCLUSIONS: This study demonstrates the importance of HCV screening and linkage-to-care for individuals enrolled in probation programs. A focus on this population could enhance progress towards HCV elimination goals.

Hepatitis C Testing and Linkage to Care Among Adults on Probation in a Large US City.

BACKGROUND: Despite constituting the largest segment of the correctional population, individuals on probation remain largely unstudied with respect to hepatitis C virus (HCV) testing and linkage to care. We implemented an HCV testing and patient navigation program at an adult probation department. METHODS: Adults were tested at a local probation department with a rapid point-of-care HCV antibody (Ab) assay followed by a laboratory-based HCV ribonucleic acid (RNA) assay if anti-HCV positive. All individuals received counseling rooted in harm reduction principles. Individuals testing positive for HCV Ab were immediately linked to a patient navigator in person or via telephone. The patient navigator assisted patients through cure unless the patient was lost to follow-up. Study participation involved an optional survey and optional point-of-care human immunodeficiency virus test. RESULTS: Of 417 individuals tested, 13% were HCV Ab positive and 65% of those tested for HCV RNA (34 of 52) had detectable HCV RNA. Of the 14 individuals who linked to an HCV treatment provider, 4 completed treatment, as measured by pharmacy fill documentation in the electronic medical record, and 1 obtained sustained virologic response. One hundred ninety-three individuals tested for HIV; none tested positive. CONCLUSIONS: The study cohort had a higher HCV seroprevalence than the general population (13% vs 2%), but linkage to care, completion of HCV treatment, and successful test-of-cure rates were all low. This study indicates that HCV disproportionately impacts adults on probation and prioritizing support for testing and linkage to care could improve health in this population. Colocalization of HCV treatment within probation programs would reduce the barrier of attending a new institution and could be highly impactful.

Estimating costs of hospitalizations associated with opioid use disorder or opioid misuse at a large, urban safety-net hospital-Denver, Colorado, 2017.

INTRODUCTION: The national and state economic burden of the opioid crisis is substantial. This study estimated the number of hospitalizations associated with opioid use disorder (OUD) or opioid misuse (OM) and the cost of those hospitalizations at Denver Health (DH) Medical Center, a large, urban safety-net hospital. METHODS: For 2017, direct inpatient medical costs for hospitalizations associated with OUD or OM at DH Medical Center were estimated and categorized by group and insurance type. Data were from the DH electronic health records database that included charge data. Hospitalizations associated with OUD or OM were identified using diagnostic codes and an expanded set of inclusion criteria including diagnostic codes, opioid withdrawal assessments, opioid-related admission notes, and medication prescriptions to treat OUD. Costs were estimated using cost-to-charge ratios specific to DH. RESULTS: During 2017, 220 hospitalizations, $9,834,979 in total charges, $3,690,724 in estimated total costs, and $2,115,990 in total reimbursements were identified using diagnostic codes. Using the most expansive set of inclusion criteria, 739 hospitalizations, $35,033,157 in total charges, $13,346,099 in estimated total costs, and $7,020,877 in total reimbursements were identified. Of the 739 hospitalizations, Medicaid covered 546 hospitalizations (74 %), the largest proportion of total reimbursement (65 %), with estimated total costs of $10,135,048 (77 %). CONCLUSIONS: Our study identified considerable costs for hospitalizations associated with OUD or OM for DH. Estimating costs for hospitalizations associated with OUD or OM through use of expanded inclusion methodology can guide future program planning to allocate resources efficiently for hospitals such as DH Medical Center.

The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance.

BACKGROUND: Timely, precise, and localized surveillance of nonfatal events is needed to improve response and prevention of opioid-related problems in an evolving opioid crisis in the United States. Records of naloxone administration found in prehospital emergency medical services (EMS) data have helped estimate opioid overdose incidence, including nonhospital, field-treated cases. However, as naloxone is often used by EMS personnel in unconsciousness of unknown cause, attributing naloxone administration to opioid misuse and heroin use (OM) may misclassify events. Better methods are needed to identify OM. OBJECTIVE: This study aimed to develop and test a natural language processing method that would improve identification of potential OM from paramedic documentation. METHODS: First, we searched Denver Health paramedic trip reports from August 2017 to April 2018 for keywords naloxone, heroin, and both combined, and we reviewed narratives of identified reports to determine whether they constituted true cases of OM. Then, we used this human classification as reference standard and trained 4 machine learning models (random forest, k-nearest neighbors, support vector machines, and L1-regularized logistic regression). We selected the algorithm that produced the highest area under the receiver operating curve (AUC) for model assessment. Finally, we compared positive predictive value (PPV) of the highest performing machine learning algorithm with PPV of searches of keywords naloxone, heroin, and combination of both in the binary classification of OM in unseen September 2018 data. RESULTS: In total, 54,359 trip reports were filed from August 2017 to April 2018. Approximately 1.09% (594/54,359) indicated naloxone administration. Among trip reports with reviewer agreement regarding OM in the narrative, 57.6% (292/516) were considered to include information revealing OM. Approximately 1.63% (884/54,359) of all trip reports mentioned heroin in the narrative. Among trip reports with reviewer agreement, 95.5% (784/821) were considered to include information revealing OM. Combined results accounted for 2.39% (1298/54,359) of trip reports. Among trip reports with reviewer agreement, 77.79% (907/1166) were considered to include information consistent with OM. The reference standard used to train and test machine learning models included details of 1166 trip reports. L1-regularized logistic regression was the highest performing algorithm (AUC=0.94; 95% CI 0.91-0.97) in identifying OM. Tested on 5983 unseen reports from September 2018, the keyword naloxone inaccurately identified and underestimated probable OM trip report cases (63 cases; PPV=0.68). The keyword heroin yielded more cases with improved performance (129 cases; PPV=0.99). Combined keyword and L1-regularized logistic regression classifier further improved performance (146 cases; PPV=0.99). CONCLUSIONS: A machine learning application enhanced the effectiveness of finding OM among documented paramedic field responses. This approach to refining OM surveillance may lead to improved first-responder and public health responses toward prevention of overdoses and other opioid-related problems in US communities.

Monitoring opioid addiction and treatment: Do you know if your population is engaged?

BACKGROUND: Assessment of people affected by opioid-related problems and those receiving care is challenging due to lack of common definitions and scattered information. We sought to fill this gap by demonstrating a method to describe a continuum of opioid addiction care in a large, public safety-net institution. METHODS: Using 2017 clinical and administrative data from Denver Health (DH), we created operational definitions for opioid use disorder (OUD), opioid misuse (OM), and opioid poisoning (OP). Six stages along a continuum of patient engagement in opioid addiction care were developed, and operational definitions assigned patients to stages for a specific time point of analysis. National data was used to estimate the Denver population affected by OUD, OM and OP. RESULTS: In 2017, an estimated 6688 people aged ≥12 years were affected by OUD, OM, or OP in Denver; 48.4% (3238/6688) were medically diagnosed in DH. Of those, 32.5% (1051/3238) were in the medication assisted treatment stage, and, of those, 59.8% (629/1051) in the adhered to treatment stage. Among that latter group, 78.4% (493/629) adhered at least 90 days and 52.3% (329/629) for more than one year. Among patients who received medication assisted treatment, less than one third (31.3%, 329/1051) were adherent for more than one year. CONCLUSIONS: A health-system level view of the continuum of opioid addiction care identified improvement opportunities to better monitor accuracy of diagnosis, treatment capacity, and effectiveness of patient engagement. Applied longitudinally at local, state and national levels, the model could better synergize responses to the opioid crisis.

Integration of family planning services into a sexually transmitted disease clinic setting.

BACKGROUND: Sexually transmitted diseases (STDs) and unintended pregnancy are significant and costly public health concerns. Integrating family planning services (FPS) into STD visits provides an opportunity to address both concerns simultaneously. Our objectives were to create an electronic eligibility reminder to identify male and female patients eligible for FPS during an STD clinic visit and measure FPS use, additional cost of integrated services, and patient/provider satisfaction and to explore the impact on incident pregnancy and STDs. METHODS: Quasi-experimental design compared enrollment and patient/provider satisfaction before (2008) and after implementation (2010). Incident pregnancy and STD 12 months after the initial visit before and after were explored. Time and cost were calculated. Quantitative and qualitative analyses were performed. RESULTS: A total of 9695 clients (male, 5842; female, 3853) in 2008 and 10,021 clients (male, 5852; female, 4169) in 2010 were eligible for FPS. Enrollment in FPS increased (2008: 51.6%, 2010: 95.3%; P < 0.01). Total additional cost was US$29.25/visit, and additional staff time was 4.01 minutes for integrated visits. Staff satisfaction increased and client satisfaction remained high. Among women returning within 12 months (39.6% in 2008, 37.1% in 2010), pregnancies were lower among enrolled versus nonenrolled women for 2008 (7.7% vs. 19.5%, P < 0.01) and 2010 (13.1% vs. 25.9%, P = 0.05). Incident STDs did not differ. DISCUSSION: An electronic eligibility reminder of FPS increased FPS use. Integration of FPS with STD services is feasible, is well accepted, and increases costs minimally. Integration may reduce pregnancy rates without increasing STD rates.

Normalizing HIV testing in a busy urban sexually transmitted infections clinic.

BACKGROUND: Increased awareness of HIV serostatus is a cornerstone of HIV prevention efforts. Thus, routine HIV testing in clinical settings has been identified as a priority. We report on our experience with making rapid HIV testing a routine procedure in a large STI clinic. METHODS: A series of logistical changes were implemented to enhance HIV testing uptake, including introduction of rapid testing, changes in sequence of clinical procedures, and an opt-out consent process. The impact of these changes on HIV testing was measured by the ratio of HIV testing and syphilis RPR testing, with the latter defined as the gold standard of routine testing in an STI clinic setting. RESULTS: Over time and in relationship to the introduction of clinic changes, the HIV/RPR ratio increased from 0.79 at baseline to 0.96 after full implementation. Overall HIV positivity rates did not vary significantly over time. CONCLUSION: After the introduction of several changes in clinic procedures, we experienced an increase HIV testing uptake relative to routine syphilis testing. In STI clinics, HIV testing can be made as normal as other routine STI testing.