Prevalence of Sexual Violence and its Association with Depression among Male and Female Patients with Risky Drug Use in Urban Federally Qualified Health Centers.

Sexual violence (SV) is common; however, the prevalence of SV and its long term sequela vary geographically and among subpopulations within the USA. As such, the aims of this study are the following: (1) to determine the prevalence of SV, (2) to identify correlates of SV, and (3) to determine if SV is associated with depression among male and female risky drug users in urban Federally Qualified Health Centers (FQHCs) in Los Angeles. This study includes adult patients of five urban FQHCs who self-reported risky drug use. We identified survivors of SV and those experiencing depression through survey questions that queried, before or after age 18, "Were you ever sexually assaulted, molested or raped?" and with the RAND Mental Health Index (MHI-5). We utilized Pearson's chi-square tests to assess predictors of SV and logistic regression to assess for an association between SV and depression. Data collection took place from February 2011 to November 2012. Of the 334 study patients, 49% of females and 25% of males reported surviving SV. Exposure to SV, (both before 18 years of age and after 18 years of age) was the strongest predictor of depression among men and women in this study (OR 4.7, p < 0.05). These data demonstrate that sexual violence is prevalent in this urban FQHC population and is strongly associated with depression. Providers should consider screening both men and women with risky drug use for SV while health systems should continue to align mental health and primary care services to appropriately care for these extremely vulnerable patients. Trial Registration Clinical Trials. gov ID NCT01942876, Protocol ID DESPR DA022445, http://www.clinicaltrials.gov.

Prevalence of Substance Use Among Patients of Community Health Centers in East Los Angeles and Tijuana.

BACKGROUND: Given the increased use of psychoactive substances on the United States-Mexico border, a binational study (Tijuana, Mexico-Los Angeles, USA) was conducted to identify the prevalence of substance use in primary care settings. OBJECTIVES: To compare the prevalence and characteristics of patients at risk for substance use disorders in Tijuana and East Los Angeles (LA) community clinics with special attention paid to drug use. METHODS: This was an observational, cross-sectional, analytical study, comparing substance use screening results from patients in Tijuana and LA. The settings were 2 community clinics in LA and 6 in Tijuana. Participants were 2,507 adult patients in LA and 2,890 in Tijuana eligible for WHO Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) screening during March-October 2013. Patients anonymously self-administered the WHO ASSIST on a tablet PC in the clinic waiting rooms. RESULTS: Of eligible patients, 96.4% completed the ASSIST in Tijuana and 88.7% in LA (mean 1.34 minutes and 4.20 minutes, respectively). The prevalence of patients with moderate-to-high substance use was higher in LA than Tijuana for each substance: drugs 19.4% vs. 5.7%, alcohol 15.2% vs. 6.5%, tobacco 20.4% vs. 16.2%. LA patients born in Mexico had 2x the odds and LA patients born in the United States had 6x the odds of being a moderate-to-high drug user compared to Tijuana patients born in Mexico. CONCLUSIONS: Moderate-to-high drug use is higher in LA than in Tijuana but rates are sufficiently high in both to suggest that screening for drug use (along with alcohol and tobacco use) should be integrated into routine primary care of community clinics in both cities.

A pilot replication of QUIT, a randomized controlled trial of a brief intervention for reducing risky drug use, among Latino primary care patients.

BACKGROUND: QUIT is the only primary care-based brief intervention that has previously shown efficacy for reducing risky drug use in the United States (Gelberg et al., 2015). This pilot study replicated the QUIT protocol in one of the five original QUIT clinics primarily serving Latinos. DESIGN: Single-blind, two-arm, randomized controlled trial of patients enrolled from March-October 2013 with 3-month follow-up. SETTING: Primary care waiting room of a federally qualified health center (FQHC) in East Los Angeles. PARTICIPANTS: Adult patients with risky drug use (4-26 on the computerized WHO ASSIST): 65 patients (32 intervention, 33 control); 51 (78%) completed follow-up; mean age 30.8 years; 59% male; 94% Latino. INTERVENTIONS AND MEASURES: Intervention patients received: 1) brief (typically 3-4 minutes) clinician advice to quit/reduce their risky drug use, 2) video doctor message reinforcing the clinician's advice, 3) health education booklet, and 4) up to two 20-30 minute follow-up telephone drug use reduction coaching sessions. Control patients received usual care and cancer screening information. Primary outcome was reduction in number of days of drug use in past 30days of the highest scoring drug (HSD) on the baseline ASSIST, from baseline to 3-month follow-up. RESULTS: Controls reported unchanged HSD use between baseline and 3-month follow-up whereas Intervention patients reported reducing their use by 40% (p<0.001). In an intent-to-treat linear regression analysis, intervention patients reduced past month HSD use by 4.5 more days than controls (p<0.042, 95% CI: 0.2, 8.7). Similar significant results were found using a complete sample regression analysis: 5.2 days (p<0.03, 95% CI: 0.5, 9.9). Additionally, on logistic regression analysis of test results from 47 urine samples at follow-up, intervention patients were less likely than controls to test HSD positive (p<0.05; OR: 0.10, 95% CI: 0.01, 0.99). CONCLUSIONS: Findings support the efficacy of the QUIT brief intervention for reducing risky drug use.

Under-reporting of Risky Drug Use Among Primary Care Patients in Federally Qualified Health Centers.

OBJECTIVE: The Affordable Care Act encourages integration of behavioral health into primary care. We aim to estimate the level of under-reporting of drug use in federally qualified health centers (FQHCs) among self-reported risky drug users. METHODS: Adult patients in the waiting rooms of 4 FQHCs who self-reported risky drug use on the screening instrument World Health Organization's Alcohol, Smoking and Substance Involvement Screening Test (score 4-26), who participated in the "Quit Using Drugs Intervention Trial," submitted urine samples for drug testing. Under-reporters were defined as patients who denied use of a specific drug via questionnaire, but whose urine drug test was positive for that drug. Descriptive statistics, Pearson chi-square test, and logistic regression were used for analysis. RESULTS: Of the 192 eligible participants, 189 (96%) provided urine samples. Fifty-four samples were negative or indeterminate, yielding 135 participants with positive urine drug tests for this analysis: 6 tested positive for amphetamines, 18 opiates, 21 cocaine, 97 marijuana. Thirty patients (22%) under-reported drug use and 105 (78%) reported drug use accurately. Under-reporting by specific substances was: amphetamines 66%, opiates 45%, cocaine 14%, and marijuana 7%. Logistic regression revealed that under-reporting of any drug was associated with history of incarceration and older age (odds ratios 2.6 and 3.3, respectively; P < 0.05). CONCLUSIONS: Under-reporting of drug use is prevalent even among self-reported drug users in primary care patients of FQHCs (22%), but varied considerably based on the substance used. Further research is indicated to assess the extent of under-reporting among all primary care patients, regardless of their self-reported drug use status.

Project QUIT (Quit Using Drugs Intervention Trial): a randomized controlled trial of a primary care-based multi-component brief intervention to reduce risky drug use.

AIMS: To assess the effect of a multi-component primary care delivered brief intervention for reducing risky psychoactive drug use (RDU) among patients identified by screening. DESIGN: Multicenter single-blind two-arm randomized controlled trial of patients enrolled from February 2011 to November 2012 with 3-month follow-up. Randomization and allocation to trial group were computer-generated. SETTING: Primary care waiting rooms of five federally qualified health centers in Los Angeles County (LAC), USA. PARTICIPANTS: A total of 334 adult primary care patients (171 intervention; 163 control) with RDU scores (4-26) on the World Health Organization (WHO) Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) self-administered on tablet computers. 261 (78%) completed follow-up. Mean age was 41.7 years; 62.9% were male; 37.7% were Caucasian. INTERVENTION(S) AND MEASUREMENT: Intervention patients received brief (typically 3-4 minutes) clinician advice to quit/reduce their drug use reinforced by a video doctor message, health education booklet and up to two 20-30-minute follow-up telephone drug use coaching sessions. Controls received usual care and cancer screening information. Primary outcome was patient self-reported use of highest scoring drug (HSD) at follow-up. FINDINGS: Intervention and control patients reported equivalent baseline HSD use at 3-month follow-up. After adjustment for covariates, in the complete sample linear regression model, intervention patients used their HSD on 3.5 fewer days in the previous month relative to controls (P<0.001), and in the completed sample model, intervention patients used their HSD 2.2 fewer days than controls (P < 0.005). No compensatory increases in use of other measured substances were found. CONCLUSIONS: A primary-care based, clinician-delivered brief intervention with follow-up coaching calls may decrease risky psychoactive drug use.

Effect of a primary care based brief intervention trial among risky drug users on health-related quality of life.

BACKGROUND: Improvement in quality of life (QOL) is a long term goal of drug treatment. Although some brief interventions have been found to reduce illicit drug use, no trial among adult risky (moderate non-dependent) drug users has tested effects on health-related quality of life. METHODS: A single-blind randomized controlled trial of patients enrolled from February 2011 to November 2012 was conducted in waiting rooms of five federally qualified health centers. 413 adult primary care patients were identified as risky drug users using the WHO-ASSIST and 334 (81% response; 171 intervention, 163 control) consented to participate in the trial. Three-month follow-ups were completed by 261 patients (78%). Intervention patients received the QUIT intervention of brief clinician advice and up to two drug-use health telephone sessions. The control group received usual care and information on cancer screening. Outcomes were three-month changes in the Short Form Health Survey (SF-12) mental health component summary score (MCS) and physical health component summary score (PCS). RESULTS: The average treatment effect (ATE) was non-significant for MCS (0.2 points, p-value=0.87) and marginally significant for PCS (1.7 points, p-value=0.08). The average treatment effect on the treated (ATT) was 0.1 (p-value=0.93) for MCS and 1.9 (p-value=0.056) for PCS. The effect on PCS was stronger at higher (above median) baseline number of drug use days: ATE=2.7, p-value=0.04; ATT=3.21, p-value=0.02. CONCLUSIONS: The trial found a marginally significant effect on improvement in PCS, and significant and stronger effect on the SF-12 physical component among patients with greater frequency of initial drug use.

Wireless data collection of self-administered surveys using tablet computers.

The accurate and expeditious collection of survey data by coordinators in the field is critical in the support of research studies. Early methods that used paper documentation have slowly evolved into electronic capture systems. Indeed, tools such as REDCap and others illustrate this transition. However, many current systems are tailored web-browsers running on desktop/laptop computers, requiring keyboard and mouse input. We present a system that utilizes a touch screen interface running on a tablet PC with consideration for portability, limited screen space, wireless connectivity, and potentially inexperienced and low literacy users. The system was developed using C#, ASP.net, and SQL Server by multiple programmers over the course of a year. The system was developed in coordination with UCLA Family Medicine and is currently deployed for the collection of data in a group of Los Angeles area clinics of community health centers for a study on drug addiction and intervention.