| Literature DB >> 31274113 |
Janni Strøm1,2, Mette Terp Høybye1,3, Malene Laursen1,4, Lene Bastrup Jørgensen1,4, Claus Vinther Nielsen2,5,6.
Abstract
BACKGROUND: Internet use within health care contexts offers the possibility to provide both health information and peer support. Internet Support Groups (ISGs) for patients may offer advantages, which are not found in face-to-face support. In patients undergoing lumbar spine fusion (LSF), ISGs could have a particular potential, as peer support on the web might bridge the decreased satisfaction with social life and social isolation found within these patients. ISGs might in this way contribute to increasing the functioning and overall health-related quality of life. However, LSF patients may generally belong to a group of citizens not prone to internet and online peer support. However, our knowledge of how LSF patients use ISGs is limited.Entities:
Keywords: eHealth; medical informatics; online social networking; self-help groups; social support; spinal fusion
Mesh:
Year: 2019 PMID: 31274113 PMCID: PMC6637729 DOI: 10.2196/jmir.9805
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1The message board visible to all lumbar spine fusion patients assigned to an Internet Support Group. The board is a reconstruction, names are invented, pictures are stock photos, and the text is fictional, based on inspiration from real posts.
Figure 2The message board with comments, visible to all lumbar spine fusion patients assigned to an Internet Support Group. This message board is a reconstruction, names are invented, pictures are stock photos, and the text is fictional, based on inspiration from real posts.
Figure 3Personal page on the Internet Support Group platform, with the possibility to upload a picture, note date of birth and surgery, and write a personal background story. The page is a reconstruction, the name and dates are invented, picture is a stock photo, and the text is fictional based on inspiration from a real story.
Sociodemographic characteristics of the participants (n=48).
| Characteristics | Values | |
| Male | 22 (46) | |
| Female | 26 (54) | |
| Age (years), mean age (range) | 53 (29-77) | |
| Married/cohabitating | 41 (84) | |
| Living alonea | 7 (15) | |
| Basic educationb | 12 (25) | |
| Secondary educationc | 33 (69) | |
| Higher educationd | 3 (6) | |
| Employed full/part time | 15 (31) | |
| Pension/othere | 14 (29) | |
| Sick leave/unemployed | 19 (40) | |
aIncludes participants who are widowed, single, or divorced.
bBasic education level comprised International Standard Classification of Education levels 0-2.
cSecondary education comprised International Standard Classification of Education levels 3.
dHigher education level comprised International Standard Classification of Education levels 4-8 [41].
eIncludes participants not employed for reasons other than illness or unemployment, such as housewives, those on leave, or students.
Correlation between variables of use and demographic data. No significant correlations were found between age or education and the variables of Internet Support Group use (Spearman correlation).
| Demographic data | Interactions | Page views | Posts | Comments | ||||
| Spearman rho | Spearman rho | Spearman rho | Spearman rho | |||||
| Age | –0.0706 | .63 | 0.0530 | .72 | –0.1305 | .37 | –0.1110 | .45 |
| Education | –0.0920 | .53 | –0.1702 | .24 | 0.0220 | .88 | –0.1076 | .46 |
Correlation between activity on the Internet Support Group and the participants’ employment status. No significant correlations were found between employment status and the variables of Internet Support Group use (Kruskal-Wallis test).
| Group | Rank sum | ||
| Employed/full or part time (15) | 88.00 | ||
| Pension/other (14) | 329.50 | ||
| Sick leave/unemployed (19) | 507.50 | ||
| Employed/full or part time (15) | 388.00 | ||
| Pension/other (14) | 319.50 | ||
| Sick leave/unemployed (19) | 517.30 | ||
| Employed/full or part time (15) | 399.00 | ||
| Pension/other (14) | 344.00 | ||
| Sick leave/unemployed (19) | 481.00 | ||
| Employed/full or part time (15) | 370.00 | ||
| Pension/other (14) | 362.50 | ||
| Sick leave/unemployed (19) | 492.00 | ||
Correlation between activity on the Internet Support Group and marital status and gender (n=48).
| Group | n (%) | Interaction | Page views | Posts | Comments | |||||
| Rank sum | Rank sum | Rank sum | Rank sum | |||||||
| Male | 22 (46) | 475.5 | 478.5 | 442.5 | 451 | |||||
| Female | 26 (54) | 749.5 | 746.5 | 782.5 | 774 | |||||
| Married/cohabitating | 41 (85) | 1032 | 1030 | 1036.5 | 1062.5 | |||||
| Living alone | 7 (15) | 193 | 194 | 188.5 | 162.5 | |||||
aSignificant correlation was found between female gender and the contribution of posts on the Internet Support Group (Wilcoxon Rank-sum).
The presence of anxiety and depression at baseline (n=48).
| Anxiety/Depression | +Depression, n (%) | –Depression, n (%) | Total, n (%) |
| +Anxiety | 8 (17) | 6 (14) | 14 (29) |
| –Anxiety | 9 (19) | 25 (52) | 34 (73) |
| Total | 17 (35) | 31 (65) | 48 (100) |
Use of Internet Support Group (ISG) in participants with or without anxiety and depression at baseline (n=48). No significant correlations were found between the presence of anxiety or depression and variables of ISG use (Kruskal-Wallis ranks test).
| Group | n (%) | Rank sum | |||
| – | 34 (73) | 841.50 | |||
| + | 14 (29) | 383.50 | |||
| – | 31 (65) | 868.50 | |||
| + | 17 (35) | 356.50 | |||
| – | 34 (73) | 830.50 | |||
| + | 14 (29) | 394.50 | |||
| – | 31 (65) | 888.00 | |||
| + | 17 (35) | 337.00 | |||
| – | 34 (73) | 773.50 | |||
| + | 14 (29) | 451.50 | |||
| – | 31 (65) | 848.00 | |||
| + | 17 (35) | 377.00 | |||
Interactions and page views in groups who are passive users or active users (n=48).
| Group | n (%) | Rank sum | ||
| Passive users | 25 (52) | 485.00 | ||
| Active users | 23 (48) | 374.00 | ||
| Passive users | 25 (52) | 463.50 | ||
| Active users | 23 (48) | 761.50 | ||
aSignificant correlation was found between passive users and interactions.
bSignificant correlation was found between active users and page views.