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Bridging the Gap Between Practice and Research: Forging Partnerships with Community-Based Drug and Alcohol Treatment (1998)
Institute of Medicine (IOM)

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. "Appendix E: Commissioned Paper: The Substance Abuse Treatment System: What Does It Look Like and Whom Does It Serve? Preliminary Findings from the Alcohol and Drug Services Study." Bridging the Gap Between Practice and Research: Forging Partnerships with Community-Based Drug and Alcohol Treatment. Washington, DC: The National Academies Press, 1998.

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TABLE E-1 Organizational Characteristics of Substance Abuse Treatment Facilities, October 1, 1996: Percentage of Facilities by Ownership and Treatment Setting

Ownership

 

Private for-profit

23.4%

Private nonprofit

62.3%

Public

14.2%

Totala

100.0%

Treatment Settingb

 

General hospital

10.3%

VA hospital

1.3%

Psychiatric or specialized hospital

4.1%

Nonhospital residential

19.2%

Therapeutic community

6.9%

Halfway house

5.6%

Community mental health center

18.7%

Solo practice

2.3%

Group practice

5.1%

School

1.4%

Outpatient, other than above

44.2%

Other

6.1%

SOURCE: 1997 Alcohol and Drug Services Study—Phase I—Preliminary Data. Office of Applied Studies, Substance Abuse and Mental Health Services Administration.

a Does not total to 100% because of rounding.

b Does not total to 100% because facilities could respond to as many categories as applied.

reported that this parent organization was an administrative office. The parent organization for 30 percent of facilities was a substance abuse treatment facility and for 20 percent was a hospital.

ADSS does not have any direct measures of a facility's capacity to conduct and/or participate in research. It does however have information on the existence of an operational computerized information system. While such systems serve administrative functions, sometimes data in these systems are used for research purposes. Table E-3 shows that the majority of facilities have an operational computerized information system, but its existence varies along a number of dimensions. For example, using the point prevalence client count as a measure of facility size, we see the existence of a computerized system is directly related to size. Almost 80 percent of facilities with a client census of greater than 100 active clients have comput-

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