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. Author manuscript; available in PMC: 2017 Jun 21.
Published in final edited form as: Alcohol Treat Q. 2016 Jun 21;34(3):315–328. doi: 10.1080/07347324.2016.1182818

Table 1.

Sample characteristics, design, and outcomes.

Authors (year) Approach type Sample Treatment type Design Assessment tool Predictors evaluated Conclusions
Beattie & Longabaugh (1999) Network predicting outcome 152 AUD Outpatient Longitudinal IPA
Procidano and Heller’s (1983) 40-item Perceived Social Support self-report instrumenta
  1. Alcohol-specific support

  2. General supporta

Both general and alcohol-specific social support predicted higher PDA shortly after Tx Alcohol-specific support continued to predict PDA in the long term
Broome, Simpson, & Joe (2002) Network predicting outcome 748 AUD/SUD Short term inpatient Longitudinal Questions formulated for this study specifically
  1. Deviant peer network (network member used drugs/drank heavily/had been arrested)

  2. Cohabitants supportive of abstinence

  3. Cohabitants with SUD

Deviant network and living with user/drinker predicted use of cocaine and frequent drinking Support for abstinence at home reduced odds of cocaine use
Groh et. al (2007) Network predicting outcome 897 AUD/SUD Residential (OH) Longitudinal IP
  1. General support (family, friends)

  2. Abstinence-specific support (family, friends)

General support from friends interacted with length of stay to predict less alcohol use 90 days before follow up
Groh et. al (2011) Network predicting outcome 897 AUD/SUD Residential (OH) Longitudinal IP
  1. Support of drinking

  2. Drinking Bx of network

  3. General support

Only drinking Bx of network predicted drinking at 4 months
Litt et. al (2009) Tx predicting network change 210 AUD Outpatient Longitudinal IPA
  1. Tx approach (network support, network support + contingency, or case management)vs. social, Bx, and attitudinal support for drinking; Bx and attitudinal support for abstinence

Bx Support for drinking decreased in all Tx Groups
Bx support for abstinence increased for both NS interventions at 15 months; dropped for NS+C but rose for CM at 27 months
Attitudinal support for abstinence higher over time for both NS and NS+C
NS –number of abstinent friends increased then leveled at 15 months; NS+C declined at 15
Longabaugh et. al (1995) [network indicating effective Tx approach] 229 AUD Outpatient Longitudinal IPA
  1. Interaction between network support of alcohol involvement/abstinence, investment in social network, and Tx approach (extended relationship enhancement, brief broad spectrum, and extended cognitive behavioral)

Participants with low support for abstinence or low social investment, but not both had greatest PDA with ERE BBS treatment was found to be more effective for patients with either low investment in an unsupportive network or high investment in a supportive network.
Longabaugh et. al (2010) Network predicting outcome 1,373 AUD Outpatient Longitudinal IPA
  1. Network drinking

  2. Response to participant drinking

  3. General support

  4. Support of Tx

  5. Amount of contact

  6. Social investment

Alcohol specific support predicted more days abstinent during and following Tx and fewer HDD following Tx Network opposition to drinking was increasingly predictive of higher PDA and lower PHDD Daily support was increasingly related to more HDD and fewer days abstinent following Tx
Min et. al (2013) Tx predicting network change 377 women with SUD Residential (n=119)
Outpatient (n=258)
Longitudinal EgoNet
  1. Tx approach (residential or outpatient)

Women in residential had more substance using alters in network Only residential showed within group time effect, with significant increase in the number of Tx-related alters and decrease in substance using alters
Mohr et. al (2001) Network predicting outcome Tx predicting network change 1,726 AUD Outpatient Longitudinal, IPA
  1. Proportion of non-drinking and drinking friends in the network

  2. Amount of contact with drinking and non-drinking friends

  3. Liking and importance of drinking and non-drinking friends

    1. completion of Tx

Participants who maintained high proportion drinking friends had more DDD at follow up than those who decreased proportion of drinking friends; Increase in proportion of non-drinking friends predicted fewer DDD at follow up
Higher proportion of important drinking friends at baseline predicted more DDD at follow up
Increased importance of non-drinking friends predicted PDA at follow up
Proportion of drinkers decreased while proportion of non-drinkers increased post-Tx
Contact with both drinking and non-drinking friends decreased
Liking and importance of both drinking and non-drinking friends increased
Stout et. al (2012) Network predicting outcome 1,726 AUD Outpatient Longitudinal, IPA
  1. Propensity score: total network size, number of heavy drinkers, and number of abstainers in the network

  2. Number of pro-abstinence and pro-drinking network members

At months 15 and 39:
No effect for propensity stratification
Number of pro-drinkers predicted poorer outcomes for PDA and DDD
Number of pro-abstainers predicted higher PDA
Tracy et. al (2012) Tx predicting network change 242 women with SUD Outpatient Cross-sectional EgoNet
  1. 4 treatment stages (engagement, persuasion, active treatment, relapse prevention)

Networks in active treatment stage included more network members from Tx programs or 12-Step
Neither the type nor amount of social support differed across Tx stages
Networks of women in active Tx were less connected, as indicated by a higher number of components
Networks of women in the persuasion stage had a higher degree of centralization, as indicated by networks dominated by people with the most ties
Wu & Witkiewitz (2008) Network predicting outcome [Network indicating effective Tx approach] 952 AUD Outpatient Longitudinal IPA
  1. Network support for drinking

  2. Interaction between network support for drinking and Tx type (Twelve Step Facilitation, Motivational Enhancement Therapy, Cognitive Behavioral Therapy)

More network support for drinking predicted more drinking consequences, but only for participants assigned to MET or CBT
Zywiak, Longabaugh, & Wirtz (2002) Network predicting outcome [Network indicating effective Tx approach] 952 AUD Outpatient Longitudinal IPA
  1. Network size

  2. Size of daily network

  3. Network importance

  4. Network drinking status

  5. Network drinking frequency

  6. Network maximum drinks per drinking day

  7. Percentage of heavy drinkers

  8. Percentage of abstainers and recovering alcoholics

  9. Most support for drinking

  10. Least support for drinking

  11. Average support for drinking

  12. Interaction between pre-Tx IPA and Tx type (Twelve Step Facilitation, Motivational Enhancement Therapy)

Larger daily networks and more abstainers/recovering alcoholics in networks predicted higher PDA and lower monthly volume of alcohol consumed
Patients with a higher network drinking frequency did better (in terms of DDD and PDA) in Twelve Step Facilitation than in Motivational Enhancement Therapy
Zywiak et. al (2009) Network predicting outcome Bx change predicting network change 141 cocaine dependent Residential Longitudinal IPDA
  1. Substance involvement of network

  2. General/Tx support

  3. Support for abstinence

  4. Size of daily network

  5. Size of network

  6. Importance of most important people

    1. Abstinence at 6 months

Size of daily network predicted less drinking, less drug use, and less problem severity post-Tx
Network substance involvement decreased for those who stayed abstinent

Notes. Network variables predicting outcome listed by numerals, Bx change or Tx variables predicting network change listed by letters. PDA = percentage of days abstinent; DDD= drinks per drinking day, HDD= heavy drinking days, PHDD= percentage of heavy drinking days.

a

Procidano and Heller’s (1983) 40-item Perceived Social Support self-report instrument not collected as an ego network measure.