Table 1.
First author, year, country | Cancer | Data collected | Study type | n | Age, in years, mean | Women, % | Questionnaires | Conclusions | Q score |
Batenburg [14] 2014, Netherlands |
Breast | 2010 | Observational | 175 | 48 | 99 | Breast Cancer–Related Concerns (BCRC), Center for Epidemiologic Studies Depression Scale Revised (CES-D), Emotional Approach Coping Scale (EACS), Functional Assessment of Cancer Therapy, Breast (FACT-B), Mini-Mental Adjustment to Cancer (Mini-MAC) Scale (MIMA) | Individual differences in coping influence the relationship between online support group participation and psychological well-being. | 6 |
Batenburg [15] 2014, Netherlands | Breast | 2011 | Observational | 125 | 48 | 100 | BCRC, CES-D, EACS, FACT-B | No negative effect of online participation; more positive effect when patients approach their emotions less actively. | 10 |
Bender [16] 2013, Canada | Breast | 2008 | Observational | 73 | 56 | 100 | Self-made | Online communities have the potential to fill gaps in supportive care. | 7 |
Classen [17] 2013, Canada | Gynecological | 2009 | Observational |
27 | 40 | 100 | Female Sexual Distress Scale—revised (FSDS), Illness Intrusiveness Ratings Scale (IIRS), Hospitality Anxiety and Depression Scale (HADS), Self-made | Women find the intervention acceptable. Posters tend to be more positive than lurkers. | 9 |
Frost [18] 2014, Netherlands | Unspecified | 2013 | Observational |
115 | 52 | 55 | Self-made | Patients share medical details more willingly online than daily life or identity information. | 6 |
Han [21] 2011, USA | Breast | 2001 | Observational | 177 | 100 | BCRC | A combination of empathy expression and reception is crucial to obtaining optimal benefits. | 10 | |
Han [20] 2012, USA | Breast | 2001 | Observational |
231 | 51 | 100 | FACT-B | Patterns of engagement differed according to patients’ characteristics. | 9 |
Han [19] 2014, USA | Breast | 2005 | Observational | 325 | 51 | 100 | BCRC, Partners in Health (PIH), Social support, Self-made | Patterns of engagement differed according to patients’ sociodemographic characteristics and psychosocial factors. Lurkers had a higher level of perceived functional well-being than posters at 3 months post baseline. | 8 |
Hoybye [22] 2010, Denmark | Unspecified | 2003 | Observational | 211 | 50-57 | 85-90 | European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC C300), MIMA, Profile of Mood States (POMS), | Patients not inclined to use Internet-based interventions are characterized by social position and employ more passive coping strategies. | 8 |
Hoybye [23] 2010, Denmark | Unspecified | 2004 | Randomized clinical trial (RCT) | 794 | 53-55 | 84-90 | MIMA, POMS | Long-lasting psychological effects of participating in Internet-based support groups still need to be confirmed. | 9 |
Kim [24] 2012, USA | Breast | Observational | 177 | 51 | 100 | BCRC, FACT-B | Supportive exchanges play positive, but different, roles in predicting psychosocial health outcomes. Emotional support giving and receiving tend to reinforce each other. | 9 | |
Lepore [25] 2014, USA | Breast | 2011 | RCT-Control group | 184 | 100 | IIRS, Self-made | The prosocial Internet support group (ISG) did not produce better mental health outcomes in distressed survivors relative to standard ISG. | 11 | |
Lieberman [27] 2005, USA | Breast | Observational | 114 | 46 | 100 | CES-D, FACT-B | Validation of bulletin boards as a source of support and help for breast cancer patients. | 7 | |
Lieberman [26] 2006, USA | Breast | Observational | 52 | 46 | 100 | CES-D, FACT-B, Posttraumatic Growth Inventory (PTGI) | Expressing certain negative emotions online is beneficial; expressing others is not. | 7 | |
Nam Koong [28] 2010, USA | Breast | 2001 | Observational | 231 | 51 | 100 | Self-made | Treatment information exchanges had a positive impact on emotional well-being for those with higher health self-efficacy but a negative influence for those with lower health self-efficacy. | 10 |
Osei [29] 2013, USA | Prostate | 2010 | RCT-Control group | 40 | 67 | 0 | 26-item Expanded Prostate Cancer Index Composite (EPIC-260), Program Satisfaction (PRSA), Relationship Satisfaction (RS), Satisfaction with Life Scale (SWL), 12-item Short-Form patient-reported survey of patient health (SF12), 36-item Short-Form Health Survey (SF36) | Providing support using Web-based methods is effective. | 7 |
Rimer [30] 2005, USA | Unspecified | 2004 | Observational | 362 | >50 | 49 | Information seeking items from the National Cancer Institute’s Health Information National Trends Study (HINTS), Self-made | Mailing lists appear to be an important resource for patients. Data suggest that they are perhaps underused by minority survivors. | 4 |
Setoyama [32] 2011, Japan | Breast | 2007 | Observational | 253 | 100 | HADS | The results demonstrate that participating in online communities, even as a lurker, may be beneficial to patients’ mental health. | 7 | |
Seckin [31] 2011 USA |
75% Breast, 25% other cancers | Observational | 255 | 80 | CES-D, Functional Assessment of Cancer Therapy (FACT), Medical Outcomes Study (MOS) Short-Form General Health Survey (SF20), Multidimensional Index of Life Quality (MILQ) | The Internet may be particularly beneficial to older adults who feel helpless to cope with cancer in old age. | 7 | ||
Shaw [33] 2006, USA | Breast | Observational | 144 | 44,5 | 100 | BCRC, Emotional Well-being (EWB), Positive Affect Negative Affect Scale, (PANAS), Psychological General Well-Being Index (PGWBI) | Active users were more likely at pretest to consider themselves active participants in their health care. | 10 | |
Yoo [34] 2014, USA | Breast | 2005-2007 | Observational | 111 | 50,9 | 100 | 60-item index of coping (COPE), Family Environment Scale (FES) | Family environment plays a crucial role in predicting participation and moderating the effects of use of online groups on coping strategies such as problem- and emotion-focused coping. | 8 |