Association between trends in county-level opioid prescribing and reported rates of gonorrhea cases in the United States

Sexually Transmitted Infection and HIV Testing and Diagnosis Among 15- to 44-Year-Old Patients With and Without Opioid Use Disorder

BACKGROUND

The association between illicit opioid use and prescription opioid misuse and sexually transmitted infections (STIs) has not been examined recently. Our study aimed to explore differences in STI/HIV care, and delivery of recommended testing and diagnoses among patients with and without opioid use disorder (OUD).

METHODS

Using 2019 MarketScan commercial claims data, we identified 15- to 44-year-old male and female patients, to assess the percentages of STI/HIV diagnoses (using International Classification of Diseases, Tenth Revision, Clinical Modification ) and screening (using Current Procedure Terminology codes) among patients with or without OUD diagnoses codes. We further assessed STI/HIV testing and diagnoses by demographic factors.

RESULTS

We identified 24,724 patients with OUD codes among 7.31 million patients. Both STI/HIV testing and diagnoses were significantly ( P < 0.05) higher among patients with OUD codes versus without: testing percentages were 16.81% versus 12.93% for chlamydia, 22.31% versus 16.62% for gonorrhea, 15.26% versus 7.61% for syphilis, and 18.18% versus 7.60% for HIV; diagnoses were 0.80% versus 0.35% for chlamydia, 0.30% versus 0.11% for gonorrhea, 0.23% versus 0.07% for syphilis, and 0.74% versus 0.33% for HIV. Similarly, among 0.53 million 15- to 24-year-old females who received services suggestive of sexual activity, chlamydia testing was significantly ( P < 0.05) higher among patients with OUD codes versus without (59.78% vs. 55.66%).

CONCLUSIONS

Patients with OUD codes have higher percentages of STI/HIV testing and diagnoses codes compared with those without OUD codes. Clinicians may want to consider a comprehensive multidisciplinary (OUD and STI prevention) approach in patient care and provide recommended STI/HIV screening among patients with OUD if not performed.

Academic detailing to improve appropriate opioid prescribing: a mixed-methods process evaluation

BACKGROUND

Academic detailing, an educational outreach service for family physicians, was funded by the Ontario government to address gaps in opioid prescribing and pain management. We sought to evaluate the impact of academic detailing on opioid prescribing, and to understand how and why academic detailing may have influenced opioid prescribing.

METHODS

In this mixed-methods study, we collected quantitative and qualitative data concurrently from 2017 to 2019 in Ontario, Canada. We analyzed prescribing outcomes descriptively for a sample of participating physicians and compared them with a matched control group. We invited physicians to participate in qualitative interviews to discuss their experiences in academic detailing. Development and analysis of qualitative interviews was informed by the Theoretical Domains Framework. We triangulated qualitative and quantitative findings to understand the mechanisms that drove changes in opioid prescribing.

RESULTS

Physicians receiving academic detailing (n = 238) achieved a greater reduction in opioid prescribing than matched controls (n = 238). Seventeen physicians completed interviews and reported that academic detailing addressed barriers to pain care, including lack of confidence, difficult interactions with patients and prescribing and tapering decisions. Academic detailing reinforced knowledge about opioid prescribing and pain management. Discussion of complex patients and talking points to use during challenging conversations were described as key drivers of practice change.

INTERPRETATION

The findings of this real-world, mixed-methods evaluation explain how an academic detailing service addressed key barriers and enablers to limit high-risk opioid prescribing in primary care. This nuanced understanding will be used to inform, spread and scale academic detailing.

Bacterial sexually transmitted infection testing and diagnoses among men who have sex with men and report prescription opioid misuse--American Men's Internet Survey, 2017-2018

PURPOSE

Prescription opioid misuse is associated with behaviors which increase bacterial sexually transmitted diseases (STD) risk among men who have sex with men (MSM). Annual syphilis, gonorrhea, and chlamydia screening is recommended for sexually active MSM at anatomical sites of contact, regardless of condom use. We describe the prevalence of self-reported bacterial STD testing and diagnoses in the past 12 months among sexually active MSM who report prescription opioid misuse.

METHODS

We used data from the 2017 and 2018 American Men's Internet Survey to examine the prevalence of self-reported bacterial STD testing and diagnoses in the past 12 months. We calculated unadjusted prevalence ratios, adjusted prevalence ratios (APR), and 95% confidence intervals (CI) to compare bacterial STD testing prevalence across demographic, clinical, and behavioral factors.

RESULTS

Of 932 sexually active MSM who reported prescription opioid misuse, 433 (46.5%) self-reported bacterial STD testing in the past 12 months. Of those who reported being tested, 131 (30.2%) self-reported ≥ 1 bacterial STD. Approximately 50% of respondents who reported condomless anal sex (CAS), casual sex, or exchange sex reported bacterial STD testing in past 12 months. Factors associated with bacterial STD testing among MSM who misused prescription opioids included visiting a healthcare provider in the past 12 months (APR = 1.70, 95% CI = 1.09-2.67), ever disclosing same-sex behavior to a healthcare provider (APR = 1.78, 95% CI = 1.27-2.50), and CAS in the past 12 months (APR = 1.51, 95% CI = 1.10-2.04).

CONCLUSIONS

Prevalence of self-reported bacterial STD testing in this sample was low and one-third of tested MSM reported ≥ 1 bacterial STD in the past 12 months. Innovative approaches to identify MSM who misuse prescription opioids and expand bacterial STD testing in this population are needed.

Geospatial and Temporal Associations between Increases in Opioid Deaths, Socioeconomics, and Rates of Sexually Transmitted Infections in the Northeast United States 2012-2017

With the introduction of fentanyl to illegal markets in 2013 and an overall rise in rates of synthetic opioid use, opioid-related deaths have increased significantly. A similar trend has been observed for sexually transmitted infections, homicides, and poor mental health outcomes. In this paper, we explore the spatiotemporal relationship between opioid death rates and sexually transmitted infection (STI) rates in counties from the Northeast region of the United States between the years 2012–2017. We hypothesized that rates for gonorrhea, chlamydia, and human immunodeficiency virus (HIV) would all be positively associated with opioid death rates and that there would be a similar association between the STI rates and later time periods relative to earlier time periods. A negative binomial mixed-effects regression model was employed to assess these associations. Contrary to the study hypothesis, opioid death rates were not found to be significantly associated with the STI rates after accounting for other demographic and socioeconomic variables, with the exception of opioid deaths and gonorrhea in urban counties. Additionally, the regression demonstrated a significant association between infection rate and time period beyond the included socioeconomic variables and opioid deaths. Overall, this study indicates that declining sexual health outcomes may parallel rising opioid death, though both trends may be explained by similar underlying factors related to time period.

Gonorrhea testing, morbidity, and reporting using an integrated sexually transmitted disease registry in Indiana: 2004-2016

Surveillance of gonorrhea (GC), the second most common notifiable disease in the United States, depends on case reports. Population-level data that contain the number of individuals tested in addition to morbidity are lacking. We performed a cross-sectional analysis of data obtained from individuals tested for GC recorded in a sexually transmitted disease (STD) registry in the state of Indiana. Descriptive statistics were performed, and a Poisson generalized linear model was used to evaluate the number of individuals tested for GC and the positivity rate. GC cases from a subset of the registry were compared to CDC counts to determine the completeness of the registry. A total of 1,870,811 GC tests were linked to 627,870 unique individuals. Individuals tested for GC increased from 54,334 in 2004 to 269,701 in 2016; likewise, GC cases increased from 2,039 to 5,997. However, positivity rate decreased from 3.75% in 2004 to 2.22% in 2016. The difference in the number of GC cases captured by the registry and those reported to the CDC was not statistically significant (P = 0.0665). Population-level data from an STD registry combining electronic medical records and public health case data may inform STD control efforts. In Indiana, increased testing rates appeared to correlate with increased GC morbidity.