Literature DB >> 21480678

Predictors of engaging in problem gambling treatment: data from the West Virginia Problem Gamblers Help Network.

Jeremiah Weinstock1, Steve Burton, Carla J Rash, Sheila Moran, Warren Biller, Norman Krudelbach, Natalie Phoenix, Benjamin J Morasco.   

Abstract

Gambling help-lines are an essential access point, or frontline resource, for treatment seeking. This study investigated treatment engagement after calling a gambling help-line. From 2000-2007 over 2,900 unique callers were offered an in-person assessment appointment. Logistic regression analyses assessed predictors of (a) accepting the referral to the in-person assessment appointment and (b) attending the in-person assessment appointment. Over 76% of callers accepted the referral and 55% of all callers attended the in-person assessment appointment. This treatment engagement rate is higher than typically found for other help-lines. Demographic factors and clinical factors such as gender, severity of gambling problems, amount of gambling debt, and coercion by legal and social networks predicted engagement in treatment. Programmatic factors such as offering an appointment within 72 hr also aided treatment engagement. Results suggest gambling help-lines can be a convenient and confidential way for many individuals with gambling problems to access gambling-specific treatment. Alternative services such as telephone counseling may be beneficial for those who do not engage in treatment. (PsycINFO Database Record (c) 2011 APA, all rights reserved).

Entities:  

Mesh:

Year:  2011        PMID: 21480678      PMCID: PMC3964771          DOI: 10.1037/a0023240

Source DB:  PubMed          Journal:  Psychol Addict Behav        ISSN: 0893-164X


  30 in total

1.  Missing data techniques for structural equation modeling.

Authors:  Paul D Allison
Journal:  J Abnorm Psychol       Date:  2003-11

2.  Self-reported gambling-related suicidality among gambling helpline callers.

Authors:  David M Ledgerwood; Marvin A Steinberg; Ran Wu; Marc N Potenza
Journal:  Psychol Addict Behav       Date:  2005-06

3.  An evaluation of crisis hotline outcomes. Part 2: Suicidal callers.

Authors:  Madelyn S Gould; John Kalafat; Jimmie Lou Harrismunfakh; Marjorie Kleinman
Journal:  Suicide Life Threat Behav       Date:  2007-06

4.  How many imputations are really needed? Some practical clarifications of multiple imputation theory.

Authors:  John W Graham; Allison E Olchowski; Tamika D Gilreath
Journal:  Prev Sci       Date:  2007-06-05

5.  Advanced statistics: missing data in clinical research--part 2: multiple imputation.

Authors:  Craig D Newgard; Jason S Haukoos
Journal:  Acad Emerg Med       Date:  2007-07       Impact factor: 3.451

Review 6.  Barriers to seeking help for gambling problems: a review of the empirical literature.

Authors:  Helen Suurvali; Joanne Cordingley; David C Hodgins; John Cunningham
Journal:  J Gambl Stud       Date:  2009-06-24

7.  Predicting drug treatment entry among treatment-seeking individuals.

Authors:  Y I Hser; M Maglione; M L Polinsky; M D Anglin
Journal:  J Subst Abuse Treat       Date:  1998 May-Jun

8.  Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions.

Authors:  Nancy M Petry; Frederick S Stinson; Bridget F Grant
Journal:  J Clin Psychiatry       Date:  2005-05       Impact factor: 4.384

9.  Natural and treatment-assisted recovery from gambling problems: a comparison of resolved and active gamblers.

Authors:  D C Hodgins; N el-Guebaly
Journal:  Addiction       Date:  2000-05       Impact factor: 6.526

10.  The UK National Telephone Gambling Helpline-Results on the First Year of Operation.

Authors:  Mark Griffiths; Adrian Scarfe; Paul Bellringer
Journal:  J Gambl Stud       Date:  1999
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  12 in total

1.  Factors Precipitating Calls to a Help Hotline: A Comparison of Whites, Blacks, and Hispanics.

Authors:  Mary Cuadrado; Ibrahim S Malick
Journal:  J Gambl Stud       Date:  2019-12

2.  An Analysis of Treatment-Seeking Behavior in Individuals with Gambling Disorder.

Authors:  Michael D Harries; Sarah A Redden; Jon E Grant
Journal:  J Gambl Stud       Date:  2018-09

3.  Gender Differences in Self-Conscious Emotions and Motivation to Quit Gambling.

Authors:  Vladyslav Kushnir; Alexandra Godinho; David C Hodgins; Christian S Hendershot; John A Cunningham
Journal:  J Gambl Stud       Date:  2016-09

4.  Gender Differences Among Helpline Callers: Prospective Study of Gambling and Psychosocial Outcomes.

Authors:  Hyoun S Kim; David C Hodgins; Maria Bellringer; Max Abbott
Journal:  J Gambl Stud       Date:  2016-06

5.  Associations of Sociodemographic Factors With Health-Related Social Networks Among Premigration Filipinos.

Authors:  Dale Maglalang; A Butch de Castro; Gilbert Gee; Erika L Sabbath; Thanh V Tran; David T Takeuchi
Journal:  Soc Work Public Health       Date:  2020-10-04

6.  Gamblers seeking treatment: Who does and who doesn't?

Authors:  Barbara Braun; Monika Ludwig; Pawel Sleczka; Gerhard Bühringer; Ludwig Kraus
Journal:  J Behav Addict       Date:  2014-09-27       Impact factor: 6.756

7.  A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis.

Authors:  Heidi Sinclair; Adele Pretorius; Dan J Stein
Journal:  J Behav Addict       Date:  2014-08-26       Impact factor: 6.756

8.  Characteristics and help-seeking behaviors of Internet gamblers based on most problematic mode of gambling.

Authors:  Nerilee Hing; Alex Myles Thomas Russell; Sally Melissa Gainsbury; Alex Blaszczynski
Journal:  J Med Internet Res       Date:  2015-01-07       Impact factor: 5.428

Review 9.  A review of gambling disorder and substance use disorders.

Authors:  Carla J Rash; Jeremiah Weinstock; Ryan Van Patten
Journal:  Subst Abuse Rehabil       Date:  2016-03-17

10.  Gender Differences in Treatment-Seeking British Pathological Gamblers.

Authors:  Silvia Ronzitti; Vittorio Lutri; Neil Smith; Massimo Clerici; Henrietta Bowden-Jones
Journal:  J Behav Addict       Date:  2016-06-27       Impact factor: 6.756

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