Using technical innovations in clinical practice: The Drinker's Check‐Up software program

Squires, Daniel D.; Hester, Reid K.

doi:10.1002/jclp.10242

Cited by 34 publications

(20 citation statements)

References 13 publications

(10 reference statements)

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“…For example, the Computerized Exercise Expert System creates tailored exercise plans for older adults by first gathering information on the person's health status, clinical factors, and exercise determinants that characterize specific barriers or incentives to exercise and then developing individualized exercise prescriptions [80]. Another example of an expert system, Drinker's Check-Up, consists of integrated assessment, feedback, and decision-making modules that are sensitive to the individual's level of readiness for change, ranging from at-risk drinkers to those with alcohol dependence [81]. Such Internet-operated systems hold promise in terms of promoting psychological and behavioral change, although quantitative outcome data are still relatively scarce [76].…”

Section: Internet-operated Therapeutic Softwarementioning

confidence: 99%

Defining Internet-Supported Therapeutic Interventions

2009

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Section: Internet-operated Therapeutic Softwarementioning

confidence: 99%

Defining Internet-Supported Therapeutic Interventions

2009

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“…One limitation was that older adults appeared less willing or able to use the computer, but this may have been due in part to disabilities (including cognitive impairment) of patients seeking geropsychiatric services or to assumptions of reception staff regarding disabilities. Service issues for further investigation include staff training, optimal procedures to ensure confidentiality (15), software options for alcohol and drug screening, and computer-based interventions (16). Potential benefits of computerized systems include the ability to collect more detailed information than is easily obtained by paper forms, greater validity for sensitive questions, and more time-efficient assessment.…”

Section: Discussionmentioning

confidence: 99%

Computerized Screening for Alcohol and Drug Use Among Adults Seeking Outpatient Psychiatric Services

Satre¹,

Wolfe²,

(Stuart)³

et al. 2008

Psychiatric Services

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Objective-This study examined routine computerized screening for alcohol and drug use of men and women seeking outpatient psychiatric services (excluding chemical dependency treatment) and prevalence based on electronic medical records of consecutive admissions.Methods-The sample of 422 patients, ages 18-91, completed a self-administered questionnaire. Measures included 30-day, one-year, and lifetime substance use and alcohol-related problems.Results-Seventy-five percent of patients completed electronic intakes during the study period. Prior-month alcohol use was reported by 90 men (70%) and 180 women (62%). Of these patients, heavy drinking (five or more drinks on one occasion) was reported by 37 men (41%) and 41 women (23%). Prior-month cannabis use was reported by 17 men (13%) and 32 women (11%).Conclusions-Computerized intake systems that include alcohol and drug screening can be integrated into outpatient psychiatric settings. Heavy drinking and use of nonprescribed drugs are commonly reported, which provides an important intervention opportunity.Alcohol and drug use patterns among psychiatric outpatients have been underinvestigated in contrast to substance abuse and dependence (1). Yet there is significant potential for subdiagnostic alcohol and drug use to exacerbate psychiatric problems. For example, even moderate alcohol use may have a negative impact on antidepressant response (2) and increase the risk of side effects.Although treatments for substance problems (including alcohol) are most successful at early stages, most people do not seek treatment until their condition is severe. Instead, many individuals with alcohol or drug problems, especially women, first seek psychiatric services (3). In these settings, providers often fail to recognize drug use or heavy drinking (4). As a result, potential substance use problems go untreated.To better identify alcohol and drug use, computerized screening may be a useful innovation. Self-administered systems could increase patient comfort and self-report validity for sensitive questions on quantity and frequency of alcohol and drug use, compared with faceto-face interviews (5). However, little is known about the feasibility of self-administered screening systems. To address these issues, we report on the implementation of routine DisclosuresThe authors report no competing interests. Demographic questions included date of birth, gender, ethnicity, education, employment, and marital status. For each substance (alcohol, cannabis, cocaine, amphetamines, hallucinogens, ecstasy, sedatives other than as prescribed, opioids other than as prescribed, and tobacco) participants were asked if they had ever used that substance during their lifetime (responses were yes, no, or refuse to state). Participants who responded yes were asked about their most recent use. Questions covered usual quantity (in standard drinks), frequency of use in the prior 30 days, and number of days when five or more drinks were consumed on an occasion (6). NIH Public AccessAll patients had s...

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“…A number of computerized and Web-based approaches recently have been applied in substance abuse treatment settings and hold tremendous potential for expanding the reach of evidence-based treatment. Web-based approaches have been demonstrated to be efficacious in the delivery of empirically supported nicotine cessation strategies (Glenn & Dallery, 2007;Shiffman, Paty, Rohay, Di Marino, & Gitchell, 2001;Strecher, Shiffman, & West, 2005), motivational enhancement strategies (Ondersma, Chase, Svikis, & Schuster, 2005;Ondersma, Svikis, & Schuster, 2007), moderation management (Hester, Squires, & Delaney, 2005;Squires & Hester, 2004), and HIV prevention strategies (Marsch & Bickel, 2004). In addition, three separate research groups have shown the benefit of using a computerized approach to behavioral therapies (Bickel, Marsch, Buchhalter, & Badger, 2008;Carroll et al, 2008;Kay-Lambkin, Baker, Lewin, & Carr, 2009).…”

Section: Introductionmentioning

confidence: 96%