Online Support Groups for Parkinson's Patients

University of California, 3333 California St, box 0824, Suite 475, San Francisco, CA 94118, USA.
Social Work in Health Care (Impact Factor: 0.62). 02/2005; 42(2):23-38. DOI: 10.1300/J010v42n02_02
Source: PubMed


(A) Will PD patients participate in online, professionally led support groups? (B) What are their demographics characteristics and PD severity? (C) Are such groups beneficial? (D) Should patients be grouped for stage of disease? Depression and quality of life were assessed. Sixty-six people were assigned to a 20-week, professionally facilitated online support group. Participants were assigned to one of 2 group types based on patient similarity: homogeneous and heterogeneous. PD patients appear to readily enroll in online groups. Compared to PD patients in traditional support groups, the online were younger, less depressed and had higher quality of life. Dropouts (39%) were high. Overall, patients showed improved quality of life; no overall changes were observed in depression. Participants in the homogenous groups reported a significant decrease in depression.

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Available from: Morton Lieberman, Jan 19, 2015
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    • "); in einer anderen Studie wirkte sich die Nutzung von professionell angeleiteten Diskussionsforen bei M.-Parkinson-Patienten positiv auf die Lebensqualität aus (Lieberman et al. 2005). "
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    ABSTRACT: HintergrundInzwischen gibt es eine Vielzahl an internetbasierten Interventionsprogrammen (IBI) zu mannigfaltigen Störungsbildern. Diese haben grundsätzlich das Potenzial, niederschwellig breite Bevölkerungsschichten zu erreichen und zu einer aktiveren Rolle im individuellen Gesundheitsmanagement zu animieren. Wie ist die Effektivität störungs- und problemspezifischer IBI zu beurteilen? Ziel des Reviews ist es, einen systematischen Überblick über bis dato vorliegende kontrollierte Evaluationsstudien zu geben und mit dem Forschungsstand in 2003 (Ott 2003) zu konstrastieren. MethodeDie Literaturanalyse wurde in 3Schritten durchgeführt: 1. Recherche in einschlägigen internationalen Fachdatenbanken anhand festgelegter Suchbegriffe (Ergebnis: über 1000Publikationen seit 2003). 2. Selektion: Ausschluss derjenigen Publikationen, in den keine empirischen Wirksamkeitsnachweise (mit Kontrollgruppendesign) enthalten waren (Ergebnis: 89Studien, die zwischen 2003 und 2009 publiziert wurden gegenüber 30 bis 2003). 3. Systematisierung: Einordnung der in die Analyse eingeschlossenen Studien anhand zweier Dimensionen (Art des Störungsbilds, Funktion der Intervention). ErgebnisseIm größten Teil der vorliegenden Studien (91,0%) konnte die Effektivität der IBI nachgewiesen werden. Unter den eingesetzten Methoden fanden sich fast ausschließlich kognitiv-behaviorale Verfahren (kognitive behaviorale Therapie, KBT). In knapp drei Viertel aller Studien (71,9%) wurden IBI-Verfahren zur Behandlung eingesetzt. Die restlichen Studien verteilen sich mit 19,1% auf Prävention und 9,0% auf Rehabilitation. SchlussfolgerungInzwischen liegen Evaluationsstudien für IBI v.a. bei Angststörungen, Depressionen, posttraumatischen Belastungsstörungen, Essstörungen, einschließlich Adipositas, substanzbezogenen und verhaltensmedizinischen Störungen, bei psychischen Problemen im Zusammenhang mit körperlichen Erkrankungen, Spielsucht und Burn-out vor. Für jeden Störungsbereich werden Beispielprogramme vorgestellt. Abschließend wird auf methodische Einschränkungen einer Reihe von Studien hingewiesen. BackgroundCurrently a multitude of Internet-based intervention (IBI) programs exist for various disorders. These programs generally have the potential to reach a wide spectrum of the low threshold population and encourage them to play a more active role in managing individual healthcare. How effective are disorder and problem-specific IBI programs? This review aims to give a systematic overview of controlled evaluation studies available to date and contrast them with the state of research in 2003 (Ott 2003). MethodReferences were analyzed in three steps: 1. Research in pertinent international scientific databases using specified keywords (result: more than 1,000 publications since 2003). 2. Selection: exclusion of publications which did not contain empirical evidence of effectiveness (with control group design) (result: 89 studies published between 2003 and 2009 as opposed to 30 up to 2003). 3. Systemization: classification of the analyzed studies based on two dimensions (type of syndrome, function of intervention). ResultsIn most of the studies on hand (91.0%) the effectiveness of IBI could be confirmed. Among the methods used cognitive behavioral methods (cognitive, behavioral therapy, CBT) were used almost exclusively. In nearly three quarters of all studies (71.9%), IBI procedures were used for treatment. The remaining studies were on prevention (19.1%) and rehabilitation (9.0%). ConclusionEvaluation studies of IBIs are now available, particularly for anxiety disorders, depression, posttraumatic stress disorder, eating disorders including adiposity, substance-related and behavioral medical disorders, psychological problems related to physical illnesses, compulsive gambling and burnout. For each type of disorder, exemplary programs are described. Subsequently the methodical limitations of several of the studies are pointed out. SchlüsselwörterInternet–Intervention–Psychische Störungen–Evaluation–Review KeywordsInternet–Intervention–Psychological disorders–Evaluation–Review
    Psychotherapeut 01/2011; 57(1):58-69. DOI:10.1007/s00278-011-0832-5 · 0.78 Impact Factor
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    • "Self-help users participate in more than 6,000 mutual support groups and self-help organizations (Goldstrom et al., 2006). Self-help groups have been found to benefit persons with alcohol and other drug disorders (Humphreys, 2004; Moos, 2007), mental health consumers (Davidson et al., 1999; Kurtz, 1988), persons with co-occurring mental health and substance use disorders (Magura, Laudet, Mahmood, Rosenblum, and Knight, 2002; Mueser, Noodsy, Drake, & Fox, 2003; Rachbeisel, Scott, and Dixon, 1999), the family members of all such people (Cook, Heller, and Pickett-Schenk, 1999; Norton, Wandersman, and Goldman, 1993), as well as those with a variety of other general medical conditions (Lieberman et al., 2005; Murray, Burns, See-Tai, Lai, and Nazareth, 2005). "
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    ABSTRACT: Self-help groups benefit clients by linking them to people who have "been there" and are successfully coping with their situations. Mental health/substance use agencies can increase access to evidence-based benefits of self-help groups by engaging them in organizational exchanges. Organizational theories are used to frame beneficial exchanges with self-help groups. Adaptational theory is used to frame exchanges with self-help groups and various service agency subunits, e.g., board, practitioner, and client units. Institutional theory is used to frame joint agency/self-help initiatives to promote community acceptance of self-help groups, which in turn may enhance the credibility of the professional agency.
    Substance Use &amp Misuse 02/2010; 45(3):315-29. DOI:10.3109/10826080903443594 · 1.23 Impact Factor
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    ABSTRACT: Researchers of Internet health interventions have begun to address the problems of high attrition rates. Attrition has been a problem for psychosocial interventions for nearly 50 years. It is ubiquitous no matter what the type of intervention or the modality of delivery. Consistent are the repeated findings that demographic characteristics are the most robust variables. We tested the hypothesis that the greater the fear and apprehension experienced in professionally led Internet support groups, the more likely the participants would not complete the 25-week intervention. The sample consisted of 66 people with Parkinson's disease; each participant was assigned to one of six chat groups. To assess psychological states, we used PCAD, a text analysis program analyzing each person's postings during each chat room session. There was a statistically significant difference between those who terminated the group early and those who completed the intervention on the Anxiety-Fear dimension, F=2.35, (6,63), p=0.03. People who dropped out demonstrated higher death and shame anxiety. A number of possible designs for online groups that may reduce premature attrition are discussed.
    CyberPsychology & Behavior 01/2008; 10(6):741-8. DOI:10.1089/cpb.2007.9956 · 2.71 Impact Factor
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