Literature DB >> 15550795

Clinician screening and treatment of alcohol, drug, and mental problems in primary care: results from healthcare for communities.

Mark J Edlund1, Jürgen Unützer, Kenneth B Wells.   

Abstract

OBJECTIVE: We sought to estimate national rates of screening and treatment of alcohol, drug, and mental (ADM) problems in primary care.
DESIGN: This was a cross-sectional survey administered from 1997 to 1998. PARTICIPANTS: Our study included a nationally representative household probability sample of 7301 primary care patients. MEASUREMENT: We used patient self-reports from a telephone survey to estimate rates of screening and treatment of common ADM problems, to examine the types of screening and treatment received, and to investigate adherence with treatment recommendations. Covariates included measures of ADM conditions, physical health, and sociodemographic indicators.
RESULTS: Among adult primary care patients, 38.6% (95% confidence intervals [CI] 37.2-40.0) reported clinician screening for an ADM problem. Alcohol or drug screening occurred more frequently (28.3%; 95% CI 27.0-29.6) than screening for depression and anxiety (21.2%; 95% CI 20.1-22.2). Among those screened, 30.1% (95% CI; 27.8-32.4) reported ADM treatment in primary care. Medications (16.4%; 95% CI 14.3-18.5) and counseling (18.2%; 95% CI 16.1-20.3) were the most common treatments. Rates of screening were higher among individuals with ADM disorders, the young and middle aged, and the college educated. Treatment rates were higher among individuals with ADM disorders.
CONCLUSIONS: Substantial effort is expended screening and treating common ADM problems in primary care, and these efforts are targeted towards those with ADM disorders. However, only about half of individuals with an ADM disorder report being screened, and among this group, about 60% report receiving any treatment.

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Year:  2004        PMID: 15550795     DOI: 10.1097/00005650-200412000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  27 in total

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Review 9.  How can we use our knowledge of alcohol-tobacco interactions to reduce alcohol use?

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