scholarly journals The role of social network support in treatment outcomes for medication for opioid use disorder: a systematic review

Author(s):  
Navin Kumar ◽  
William Oles ◽  
Benjamin A. Howell ◽  
Kamila Janmohamed ◽  
Selena T. Lee ◽  
...  

AbstractBackgroundSocial connections can lead to contagion of healthy behaviors. Successful treatment of patients with opioid use disorder, as well as recovery of their communities from the opioid epidemic, may lay in rebuilding social networks. Strong social networks of support can reinforce the benefits of medication treatments that are the current standard of care and the most effective tool physicians have to fight the opioid epidemic.MethodsWe conducted a systematic review of electronic research databases, specialist journals and grey literature up to August 2020 to identify experimental and observational studies of social network support in patient populations receiving medication for opioid use disorder (MOUD). We place the studies into a conceptual framework of dynamic social networks, examining the role of networks before MOUD treatment is initiated, during the treatment, and in the long-term following the treatment. We analyze the results across three sources of social network support: partner relationships, family, and peer networks. We also consider the impact of negative social connections.ResultsOf 5193 articles screened, 46 studies were identified as meeting inclusion criteria (12 were experimental and 34 were observational). 39 studies indicated that social network support, or lack thereof, had a statistically significant relationship with improved MOUD treatment outcomes. We find the strongest support for the positive impact of family and partner relationships when integrated into treatment attempts. We also identify strong evidence for a negative impact of maintaining contacts with the drug-using network on treatment outcomes.ConclusionsSocial networks significantly shape effectiveness of opioid use disorder treatments. While negative social ties reinforce addiction, positive social support networks can amplify the benefits of medication treatments. Targeted interventions to reconstruct social networks can be designed as a part of medication treatment with their effects evaluated in improving patients’ odds of recovery from opioid use disorder and reversing the rising trend in opioid deaths.

2020 ◽  
Author(s):  
Navin Kumar ◽  
Benjamin A. Howell ◽  
Marcus Alexander ◽  
Patrick G. O'Connor

Abstract Background Although medications for opioid use disorder (MOUD) models are the most efficacious evidence-based treatment for opioid use disorder, there remains a high percentage of patients experiencing unfavorable treatment outcomes. Greater understanding of how social network support functions with respect to MOUD treatment outcomes may possibly increase treatment outcomes. Social network support are the kinds of support, such as assistance or help, that people receive from friends, family, peers and neighbors, paid or unpaid, in their social network. We aim to provide quality evidence to understand the role of social network support on MOUD treatment outcomes. Methods A systematic review of experimental and observational studies will be conducted. PubMed, MEDLINE, Embase, PsycINFO and Sociological Abstracts will be searched, updated to capture current literature. Primary outcomes will include adherence to MOUD, defined as continuation in or completion of an MOUD program; and opioid use, defined as the percentage of urine samples negative for opioids and/or self-reported drug use. The systematic review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Quality assessments will be conducted using criteria from the Cochrane Handbook. A narrative synthesis will be conducted for all included studies. Discussion This systematic review seeks to provide policymakers, administrators, practitioners and researchers with a systematic and reproducible strategy to query the literature around the role of social network support on MOUD treatment outcomes. Systematic review registration International Prospective Register for Systematic Reviews (PROSPERO), CRD42018095645.


2020 ◽  
Author(s):  
Navin Kumar ◽  
Benjamin A. Howell ◽  
Marcus Alexander ◽  
Patrick G. O'Connor

Abstract Background Although medications for opioid use disorder (MOUD) models are the most efficacious evidence-based treatment for opioid use disorder, there remains a high percentage of patients experiencing unfavorable treatment outcomes. Greater understanding of how social network support functions with respect to MOUD treatment outcomes may possibly improve treatment outcomes. Social network support are the kinds of support, such as assistance or help, that people receive from friends, family, peers and neighbors, paid or unpaid, in their social network. We aim to provide quality evidence to understand the role of social network support on MOUD treatment outcomes. Methods A systematic review of experimental and observational studies will be conducted. PubMed, MEDLINE, Embase, PsycINFO and Sociological Abstracts will be searched. Primary outcomes will include adherence to MOUD, defined as continuation in or completion of an MOUD program; and opioid use, defined as the percentage of urine samples negative for opioids and/or self-reported drug use. The systematic review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Quality assessments will be conducted using criteria from the Cochrane Handbook. A narrative synthesis will be conducted for all included studies. Discussion This systematic review seeks to provide policymakers, administrators, practitioners and researchers with a systematic and reproducible strategy to query the literature around the role of social network support on MOUD treatment outcomes. Systematic review registration International Prospective Register for Systematic Reviews (PROSPERO), CRD42018095645.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 296-296
Author(s):  
Andrew Steward ◽  
Matthew Schilz ◽  
Kaipeng Wang ◽  
M Pilar Ingle ◽  
Carson de Fries ◽  
...  

Abstract Public health concerns related to the COVID-19 health crisis are particularly salient among older adults. Fear surrounding COVID-19 has also been associated with increased spread, morbidity, and mortality of the disease. Prior to the pandemic, loneliness and social isolation were already a concern for older adults, and the pandemic further constrained how older adults may socially connect with others because of public health safety precautions. Online social networks are a valuable form of support for older adults, and usage of online social networks during the pandemic may have expanded. Thus, the purpose of this study is to examine the association between online social networks and fear of COVID-19 among older adults. A convenience sample (n = 239) of adults 60+ years of age in the U.S. completed a 20-minute, online survey. The independent variable utilized the Lubben Social Network Scale (four items), focusing on online support. The dependent variable was measured by the Fear of COVID-19 scale (eight items). Results of ordinary least squares regression show that increased online social network support was significantly associated with decreased fear of COVID-19 (p < 0.05), while holding constant age, sex, race, marital status, education, whether a respondent lives alone, and self-rated health. Findings highlight the importance of online social networks for older adults during the COVID-19 crisis. Existing online networks which engage older adults should be expanded, and efforts should be made to provide older adults with online forms of social support who may experience barriers or inequities related to accessing technology.


2007 ◽  
Vol 28 (3) ◽  
pp. 103-115 ◽  
Author(s):  
Alan J. Gow ◽  
Alison Pattie ◽  
Martha C. Whiteman ◽  
Lawrence J. Whalley ◽  
Ian J. Deary

Abstract. Social networks or support may contribute to successful aging. The Lothian Birth Cohort 1921 had their mental ability assessed at age 11 and 79. Almost 500 participants also rated their life satisfaction, social networks, and support at age 80. After controlling for age-11 IQ, sex, years of education, and social class, loneliness was the only social network/support characteristic adding significantly to the prediction of age-79 IQ, explaining about 2% of the variance; in old age, increased loneliness was associated with lower cognitive ability. Social network/support factors accounted for 23% of the variance in satisfaction with life ratings, with the greatest contributions from reduced loneliness (~12%) and having someone to talk to (~6%). Social network/support characteristics explained a greater proportion of the variance in life satisfaction ratings compared with later life cognition, although an individual's level of loneliness emerged as the largest single social support predictor of both outcomes. Possible causal pathways for these associations, which need to be studied in future research, are discussed.


Author(s):  
Matthew O. Jackson ◽  
Brian W. Rogers ◽  
Yves Zenou

What is the role of social networks in driving persistent differences between races and genders in education and labor market outcomes? What is the role of homophily in such differences? Why is such homophily seen even if it ends up with negative consequences in terms of labor markets? This chapter discusses social network analysis from the perspective of economics. The chapter is organized around the theme of externalities: the effects that one’s behavior has on others’ welfare. Externalities underlie the interdependencies that make networks interesting to social scientists. This chapter discusses network formation, as well as interactions between people’s behaviors within a given network, and the implications in a variety of settings. Finally, the chapter highlights some empirical challenges inherent in the statistical analysis of network-based data.


2021 ◽  
pp. 107026
Author(s):  
Sarah Meshberg-Cohen ◽  
R. Ross MacLean ◽  
Ashley M. Schnakenberg Martin ◽  
Mehmet Sofuoglu ◽  
Ismene L. Petrakis

Author(s):  
R. Ross MacLean ◽  
Suzanne Spinola ◽  
Gabriella Garcia-Vassallo ◽  
Mehmet Sofuoglu

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