substance-related disorders

Existing methods of screening for substance abuse (standardized questionnaires or clinician's simply asking) have proven difficult to initiate and maintain in primary care settings. This article reports on how predictive modeling can be used to screen for substance abuse using extant data in electronic health records (EHRs). We relied on data available through Veterans Affairs Informatics and Computing Infrastructure (VINCI) for the years 2006 through 2016. We focused on 4,681,809 veterans who had at least two primary care visits; 829,827 of whom had a hospitalization. Data included 699 million outpatient and 17 million inpatient records. The dependent variable was substance abuse as identified from 89 diagnostic codes using the Agency for Healthcare Quality and Research classification of diseases. In addition, we included the diagnostic codes used for identification of prescription abuse. The independent variables were 10,292 inpatient and 13,512 outpatient diagnoses, plus 71 dummy variables measuring age at different years between 20 and 90 years. A modified naive Bayes model was used to aggregate the risk across predictors. The accuracy of the predictions was examined using area under the receiver operating characteristic (AROC) curve in 20% of data, randomly set aside for the evaluation. Many physical/mental illnesses were associated with substance abuse. These associations supported findings reported in the literature regarding the impact of substance abuse on various diseases and vice versa. In randomly set-aside validation data, the model accurately predicted substance abuse for inpatient (AROC = 0.884), outpatient (AROC = 0.825), and combined inpatient and outpatient (AROC = 0.840) data. If one excludes information available after substance abuse is known, the cross-validated AROC remained high, 0.822 for inpatient and 0.817 for outpatient data. Data within EHRs can be used to detect existing or predict potential future substance abuse.

In the last year, older adults in the U.S. sought medical care nearly 5 million times due to serious side effects from one or more medications. More than a quarter million of these visits resulted in hospitalizations, at a cost of $3.8 billion (see Appendix A in the full report). These numbers point to a rapidly growing epidemic of medication overload among older Americans. Over the last decade, adults age 65 and older have been hospitalized for serious drug side effects, called adverse drug events (ADEs), about 2 million times. To put this in context, there were 3.2 million opioid-related hospitalizations across the entire population during the same period.1 The trend of increasing ADEs is not propelled by drug abuse, but by the rising number of medications prescribed to older adults (called “polypharmacy” in the scientific literature). More than 40 percent of older adults take five or more prescription medications a day, a threefold increase over the past two decades.2,3 The greater the number of medications—most of which are prescribed for legitimate reasons—the greater the risk for serious adverse reactions in older patients. Medication overload is causing widespread yet unseen harm to our parents and our grandparents. It is every bit as serious as the opioid crisis, yet its scope remains invisible to many patients and health care professionals. While some clinicians are trying to reduce the burden of medications on their individual patients, no professional group, public organization, or government agency to date has formally assumed responsibility for addressing this national problem. If current trends continue, we estimate that medication overload will be responsible for at least 4.6 million hospitalizations between 2020 and 2030. It will cost taxpayers, patients and families an estimated $62 billion. Over the next decade, medication overload is expected to cause the premature death of 150,000 older Americans. In this report, the Lown Institute calls for the development of a national strategy to address medication overload and help older people avoid its devastating effects on the quality and length of their lives. A subsequent National Action Plan for Addressing Medication Overload will lay out a national strategy to address the epidemic of prescribing and ensure the safety of millions of older adults who are now at risk of preventable harm and premature death.

OBJECTIVES:

To review the literature on the screening, brief intervention, and referral to treatment (SBIRT) approach to alcohol and drug use with racial and ethnic subgroups in the United States and to develop recommendations for culturally competent SBIRT practice.

METHODS:

Articles reporting on the use of SBIRT components (screening, brief intervention, referral to treatment) for alcohol and drug use were identified through a comprehensive literature search of PubMed from 1995 to 2015.

RESULTS:

A synthesis of the published literature on racial and ethnic considerations regarding SBIRT components (including motivational interviewing techniques) was created using evidence-based findings. Recommendations on culturally competent use of SBIRT with specific ethnic groups are also described.

CONCLUSIONS:

On the basis of the literature reviewed, SBIRT offers a useful set of tools to help reduce risky or problematic substance use. Special attention to validated screeners, appropriate use of language/literacy, trust building, and incorporation of patient and community health care preferences may enhance SBIRT acceptability and effectiveness.

PRACTICE IMPLICATIONS:

Providers should consider the implications of previous research when adapting SBIRT for diverse populations, and use validated screening and brief intervention methods. The accompanying case illustration provides additional information relevant to clinical practice.