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A comparative study of supportive interactions between e-patients across
communication functions of a social network site
Katherine Y. Chuang
College of Information Science & Technology
Drexel University, Philadelphia, PA, USA
katychuang@drexel.edu
ABSTRACT
Online health social networking allows patients and their
caretakers to seek and provide social support for health
purposes. While previous studies of online health support
groups have address a number of research issues, there is
a lack of studies that compare supportive communication
tools. This paper reports on a comparative study between
levels of social support of two social networking site
functions (discussion forum and journals). Using content
analysis to classify support types (informational and
emotional), it was found that MedHelp’s alcoholism
community members are more likely to exchange
information on the discussion forum and emotional support
on through journals. The difference in support exchanged
could be related to the communication tool design
characteristics or social roles that people perform.
Suggestions are made for future studies in this area.
Implications from this study can help health professionals
or designers of these tools.
Author Keywords
Social support, online support groups, alcoholism.
INTRODUCTION
Over 83% of internet users in the U.S. look for health
information online [1]. In this paper, these users are
considered to be e-patients. 59% of e-patients have
consulted blog comments, doctor reviews, and podcasts;
20% have posted comments, reviews, photos, audio, video
or tags related to health care [1]. As our society enters an
era of socialized online behavior, people are increasingly
tailoring their online information-gathering, targeting “just-
in-time someone-like-me” health information sharing,
especially young people between 18 and 49 years of age
[1]. E-patients are increasingly using social networking
platforms to teach each other about conditions and
treatments as a form of social support [2]. Understanding
interactions among e-patients can provide insight to health
professionals who design intervention programs for
behavior change [3-4].
A social networking site is a virtual space where registered
users can create profiles about themselves, upload photos,
keep in touch with friends and make new friends with
common interests [5]. Its distinguishing feature is the
emphasis on building and reflecting social relations.
MedHelp (www.medhelp.org) is an example of this type of
website for e-patients; it was founded in 1994 as a resource
to help patients cope with their health conditions by
connecting users with information resources (i.e. news,
clinical trials, and forums). It now hosts many users and
patient communities who communicate with each other
through forums, profiles, and journals.
Studying this type of website is important because it is the
technology that the mainstream is adopting and it is a
potentially powerful tool to use for social support. Studies
have demonstrated that online support groups can have a
positive impact on quality of life, decision making by
patients and improved health outcomes [6]. These groups
can also contribute to a sense of empowerment for patients.
Yet, clearly there are dilemmas in terms of accuracy of
information, and the long-term effect of such health
promotion interventions. These unknown variables make
research in this field compelling and practical.
This paper describes some research problems addressed by
previous studies from multiple disciplines. This paper also
reports results from a preliminary study to show a possible
avenue for future research of online support groups.
SIGNIFICANT PROBLEMS IN FIELD
Researchers who have studied online health support groups,
come from diverse backgrounds and have different research
focus, such as identifying patient-level expertise [7],
evaluating online intervention programs [3-4, 6, 8],
understanding the effects from participation in support
groups [3, 6, 9-11], or studying supportive communication
behaviors [11-14]. Research problems can be grouped into
three categories: (1) issues that concern health professionals
such as quality of information and evaluating health
outcomes; (2) issues that concern e-patients such as what
they can gain from support groups; and (3) issues that
concern the field of health informatics such as designing
technology needs to support both doctors and patients.
1. Issues concerning health professionals
Health professionals are concerned with whether patients
are misinformed by online health information. Studies have
shown that while information is sometimes wrong on these
websites, users will correct their mistakes [13]. Patients
doing their own research for health information may enjoy
feeling prepared when making a doctor visit [11]. Online
support groups often contain a lot of useful experiential
knowledge from veteran patients, such as tips for making
hospital visits, coping with life changes, or dealing with
insurance [7-8].
Health professionals are also concerned with health
outcomes and evaluating online intervention programs.
Online support groups can be a useful behavior change
technique for the design of interventions [3-4, 6]. The
growing popularity of social media use has inspired
healthcare professionals to look into incorporating it into
healthcare programs [2], but still much is unknown about e-
patient behavior in social media adoption.
2. Issues concerning patients
Social Support Types
Support groups are a source of social support, a broad
concept that has no generally accepted definition but is
comprised of different kinds such as informational,
emotional, or instrumental assistance [11, 13, 15]. Although
social support was studied in a variety of settings, there
lacks a standard typology. Social support types have been
described in detail by many other papers [10-11, 13-14, 17-
18] of two forms: resources intended to assist stressed
individual to solve or eliminate problems causing distress
(i.e. offering information or tangible aid), and emotional
understanding (i.e. giving compliments, recognizing
achievement, sense of belonging to group) to comfort
support seekers [19-20]. Other types of positive interactions
common among online support groups can include
introductions, expressions of gratitude or congratulations
[14, 21-22]. One line of research has attempted to describe
categories of social support behaviors, which can range
from simple to more complex categorizations (see [20, 23-
25]). Some users are more likely to offer support whereas
others are more likely to lurk [8, 14, 16]. While some social
support research looks at the roles people have in providing
support (i.e. spouses, veteran patients), there lacks studies
looking into the relational dynamics of support exchanged
from an online support group based on social network site.
Online vs. Face-to-Face support
Communication through the Internet allows people to be
anonymous, use text-based messages, interact independent
of time and place, and have many possibilities to expand
social network [26]. Computer-mediated features can affect
how people compose messages, how they acquire and
maintain relationships, and even affect group formation
[26]. On the plus side, these online support groups give
people the sense of belongingness, and to learn how to
behave and cope with situation they are in [6, 26]. On the
downside, difficulties may result from lack of visual and
aural cues found in traditional face-to-face communication
[6, 11]. Issues of cyberstalking, e-patients leaving virtual
trails, and assessing reliability of information are still of
concern of the online environment. Traditionally, doctors or
family would be first source of health information; however
the Internet opens up opportunities for people to get support
without effects of stigma.
Participation Factors
Motivations for participating in online support groups can
be from an information need or desire to be altruistic [27].
Researchers have observed that user activity levels in online
communities tend to vary by individual [10, 28-29]. This
might be because of different roles a person has (i.e.
caretaker, patient, nurse, friend, etc) or personal values.
Additionally, these websites are a great source of social
support from compassionate people who may have had
similar experiences [10-11, 30]. The more time people
spend in an online group, the larger their online social
network and the higher the satisfaction with the received
support [31].
Several studies have investigated social support exchanges
for various online patient communities such as breast
cancer [7], disabilities [13], HIV/Aids [21], eating disorders
[17], psychosis [14], and depression [22]. Participation in
online health communities may be impacted by on the
stigma attached to the illness [21, 32], rarity of disease, age
[11, 33], or gender [34]. Participation may also be because
people want to socially compare themselves with others to
stand out, or to find people to fit in with for sense of
belongingness. More research is needed to understand how
social support provision and seeking is influenced by an
individual’s social connections.
3. Issues concerning health informatics
Much of the research in health informatics focuses on
designing electronic health records, databases systems, or
expert systems, rather than social computing for consumers.
Of the small but growing body of literature on Internet-
based patient communities, researchers identified patient
expertise [7] and various types of support [7, 17-20] from
interactions in discussion forums, or how collect patient
data could help medical research. What has not been
studied as much are interactions exchanged on websites
specifically geared towards communication between
individuals who have a relationship with each other, i.e.
blogs or a social network site. Further research to increase
understanding of social interactions on this type of platform
is needed since social networking is predicted to increase in
popularity in the future [21].
EXISTING SOLUTIONS
Previous studies focused their research objectives on
various issues: studying the strategies for soliciting support
[18]; investigating various support types [7, 17-20];
understanding the nature of shared patient expertise such as
problems in coping with breast cancer and
recommendations [7]; identifying types of group
interactions [22] such as  sharing personal  experience,
expression of gratitude, and offering congratulations can
facilitate social support exchanges among group members;
and last in comparing online empathy with offline empathy
[20]. All the aforementioned studies used data from
discussion boards rather than social network sites.
This study focuses on the supportive interactions through
communication functions of a social network site. It is
different from previous studies because it views
communication medium as a tool in seeking support and
that its’ selection can have impact on interactions.
RESEARCH QUESTIONS
New social media technology shows a gap in research
literature that studies interactions between e-patients. The
research question that can be addressed at this time is,
“What is the impact of communication channels on
interactions where social support is exchanged across social
media (i.e. discussion forums, and journals)?” This question
could be explored more fully with more specific questions
such as the following:
1. Do users select different communication tools for
different purposes?
2. What are patterns of supportive interactions across
social media?
3. What are the different supportive roles people perform
while participating in their social network and how is it
communicated?
PRELIMINARY ANALYSIS
This section discusses some preliminary research ideas and
a proposed approach to compare two data samples. Social
support types were identified in an online alcoholism
community for comparison between threads on a discussion
forum (a public tool) vs. user journals (more personal).
Preliminary results on the levels of social support identified
are reported. Knowing characteristics of social support
offered and sought in these virtual groups will help us to
better understand the range of information needs (i.e.
advice) in a supportive electronic environment.
MedHelp has a few communication tools for members to
use in conveying social support. The discussion forums are
publicly accessible by members and nonmembers alike,
where each thread is structured by an initial post and
corresponding comments replied to the post. Users’
journals follow the same structure – posts and comments –
but privacy level can be set to private, friends only, or
everybody. Each user has the option to show activity on
their profile page – i.e. new journal and forum posts,
whereas forum activity is all displayed on the forum page.
Approach 
The MedHelp alcoholism community was selected for this
preliminary study. Data was obtained from the discussion
forum and the journals from members of the community
using a web crawler on September 9th
, 2009. Because
emotional content is not currently recognizable with
automatic methods, a qualitative content analysis was used
to classify support types from three months time period.
Concepts for coding social support types were developed
first by reviewing related studies, their definitions and
examples. Concepts were grouped into three high-level
categories – informational, emotional, instrumental –
proposed by [23]. These concepts are appropriate for this
study as it was used in similar studies [13-14, 17-18]. Next
the codes were tested on a small sample (n=10) to verify the
applicability of definitions to alcoholism related messages
and modified as necessary. Frequencies of each code
category were calculated to analyze the overall levels of
activity per support category (i.e. how many posts have
each type of support?). We ignore typos and grammatical
errors in messages. There may be instances where a support
type occurs multiple times in a message (i.e. two book
referrals) the type is counted only once per message.
Coding Scheme
There were three support types with sublevel concepts.
Messages were coded by sublevel concept then grouped
into the top level category for comparing informational vs.
emotional supports. Instrumental support was not found in
this data and not reported.
Informational support in posts provide information (i.e.
personal background information, describing certain
incidents, coping techniques, etc.) or request information
(i.e. advice, opinions, etc.) [14, 17-18, 23]. Subcategories
include: advice, facts, personal experiences, information
referral, and opinions.
Nurturant support in posts provides emotional expressions
of caring or concern (i.e. alleviating feelings of guilt,
empathy, etc.) or can implicitly ask for support (i.e.
validation of problem or feelings, presence of others to
avoid feeling alone, etc.) [17-18, 23-25] Subcategories
include: esteem, network, and emotional.
Instrumental Support: provision of material or financial aid,
or services [14, 17-18, 23]. There are no examples available
from the dataset. An example is offering to drive someone
to Alcoholics Anonymous meeting.
Results
The first sample consists of forum posts (FP=81) and
comments (FC=412), which totals to 493 messages. Forum
posts were created by patients themselves (n=56) or
caretakers (n=14). 11 posts remain unidentified. The second
sample had 423 messages, composed of journal posts
(JP=88) and comments (JC=335).
Sample Forums Journals
Size N = 493 N = 423
Posts FP = 81 JP = 88
Comments FC = 412 JC = 335
Figure 1. Sample Sizes
The results from forum threads and journals are presented
first by support type offered and then by support type
sought. Instrumental support was not found in either sample
and thus not presented in this section.
Support Offered
Forum messages offered more informational support
(84.7%) than nurturant support (58.6%). On the other hand,
journal messages were more likely to have offered nurturant
support (80.3%) than informational support (53.1%).
275
65
276
13
174
81
351
67
(n=335) JC
(n=88) JP
(n=412) FC
(n=81) FP
Informational Nurturant
Figure 2. Offered Support
82.7% of forum posts provided informational support. For
instance, users often introduced themselves by describing
how much they drink. Users were less likely to start threads
offering nurturant support (16%) such as encouragement to
stay sober. Some messages offered both information and
emotional support. Many comments (85.2%) offered
information such as updates on a situation or answering
questions in the posts, while a lesser majority (66.9%)
offered emotional support such as sympathy.
92.0% of journal posts provided some form of information
and less likely to have an emotional nature (73.8%). 51.2%
of the comments offered some form of information in
response to the journal post, whereas 82.0% of comments
offered nurturant.
Requested Support
Forum users sought more informational support (24.9%)
than emotional support (15%), and journal users sought
more emotional support (14.6%) than information (10.6%).
14
32
26
36
28
12
64
59
(n=335) …
(n=88) JP
(n=412) …
(n=81) FP
Informational Nurturant
Figure 3. Requested Support
72.8% forum posts sought information (i.e. recommended
drugs for treatment). A smaller 44.4% sought emotional
support. However, the comments had much less requested
support. 15.5% sought informational support such as
clarification of information and a minimal 6.3% were
looking for emotional support such as validation.
13.6% journal posts sought information such as advice or
other topics unrelated to alcohol abuse (i.e. pregnancy).
Much more posts (36.3%) express need for emotional
support. Conversely, in the comments there was
significantly less requested support. 8.35% sought
informational support such as clarification and a minimal
0.29% was looking for emotional support.
For both samples, forum users were more likely to
exchange information than any other type of support.
Journal posts were more likely to request emotional
support, and journal comments are likely to respond with
provision of emotional support. This might be related to the
connection between individuals using journals who interact
at a more intimate level. Additionally, users may be using
the forum as a way to reach out to a greater network to ask
for opinions. Research on Yahoo! Answers portal shows a
large percentage of users asking for opinions, which may
indicate a need for advice on everyday decisions [26]. It
seems that users choose each communication tool for
different purposes [27].
Suggested Research
In the subsequent phases of the preliminary study,
investigations will be made to understand more about social
relations among users who exchange social support. Social
psychology research explored issues relationship intimacy
and trust [28-29] as a factor for exchanging social support.
People have relationships in different contexts of shared
experience (i.e. work, family, book club) [11] and these
relations may impact motives for participating in online
support groups.
The concept of social network analysis (i.e. measuring
closeness of two individuals, the strength of their tie, and
their social roles) to study how multiple individuals interact
with each other in a larger group setting may be useful. A
mixed methods approach would be needed to integrate
study of social support types with relational dynamics.
Contributions from research
In this study, we have compared the social supports in
forum and journal formats of MedHelp. The result in this
work can be useful in many ways: (1) providing more
insights to technological design factors and purpose behind
supportive communications, and (2) providing insights on
how online intervention program can be developed and
promoted.
ISSUES FOR DISCUSSION AT CONSORTIUM
It would be wonderful to have the opportunity to discuss the
pros and cons of this research direction that compares social
media communication functions. Here are some specific
questions: How to do further qualitative analysis and report
results in such a way that multiple samples can be
compared? Would social network analysis metrics be useful
to this line of work, for future understanding of patterns of
behavior (i.e. measuring in/out degrees, centrality, etc.)?
CONCLUSION
The increase of people searching for health information
online and using social media opens up a new door for
considering this technology for online intervention
programs. This paper summarized research literature
relating to the study online support groups. A preliminary
study was reported as an example of further research in the
field. Some ideas for future studies were suggested as well
as their contributions.
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Comparison of supportive interactions

  • 1. A comparative study of supportive interactions between e-patients across communication functions of a social network site Katherine Y. Chuang College of Information Science & Technology Drexel University, Philadelphia, PA, USA katychuang@drexel.edu ABSTRACT Online health social networking allows patients and their caretakers to seek and provide social support for health purposes. While previous studies of online health support groups have address a number of research issues, there is a lack of studies that compare supportive communication tools. This paper reports on a comparative study between levels of social support of two social networking site functions (discussion forum and journals). Using content analysis to classify support types (informational and emotional), it was found that MedHelp’s alcoholism community members are more likely to exchange information on the discussion forum and emotional support on through journals. The difference in support exchanged could be related to the communication tool design characteristics or social roles that people perform. Suggestions are made for future studies in this area. Implications from this study can help health professionals or designers of these tools. Author Keywords Social support, online support groups, alcoholism. INTRODUCTION Over 83% of internet users in the U.S. look for health information online [1]. In this paper, these users are considered to be e-patients. 59% of e-patients have consulted blog comments, doctor reviews, and podcasts; 20% have posted comments, reviews, photos, audio, video or tags related to health care [1]. As our society enters an era of socialized online behavior, people are increasingly tailoring their online information-gathering, targeting “just- in-time someone-like-me” health information sharing, especially young people between 18 and 49 years of age [1]. E-patients are increasingly using social networking platforms to teach each other about conditions and treatments as a form of social support [2]. Understanding interactions among e-patients can provide insight to health professionals who design intervention programs for behavior change [3-4]. A social networking site is a virtual space where registered users can create profiles about themselves, upload photos, keep in touch with friends and make new friends with common interests [5]. Its distinguishing feature is the emphasis on building and reflecting social relations. MedHelp (www.medhelp.org) is an example of this type of website for e-patients; it was founded in 1994 as a resource to help patients cope with their health conditions by connecting users with information resources (i.e. news, clinical trials, and forums). It now hosts many users and patient communities who communicate with each other through forums, profiles, and journals. Studying this type of website is important because it is the technology that the mainstream is adopting and it is a potentially powerful tool to use for social support. Studies have demonstrated that online support groups can have a positive impact on quality of life, decision making by patients and improved health outcomes [6]. These groups can also contribute to a sense of empowerment for patients. Yet, clearly there are dilemmas in terms of accuracy of information, and the long-term effect of such health promotion interventions. These unknown variables make research in this field compelling and practical. This paper describes some research problems addressed by previous studies from multiple disciplines. This paper also reports results from a preliminary study to show a possible avenue for future research of online support groups. SIGNIFICANT PROBLEMS IN FIELD Researchers who have studied online health support groups, come from diverse backgrounds and have different research focus, such as identifying patient-level expertise [7], evaluating online intervention programs [3-4, 6, 8], understanding the effects from participation in support groups [3, 6, 9-11], or studying supportive communication behaviors [11-14]. Research problems can be grouped into three categories: (1) issues that concern health professionals such as quality of information and evaluating health outcomes; (2) issues that concern e-patients such as what they can gain from support groups; and (3) issues that concern the field of health informatics such as designing technology needs to support both doctors and patients. 1. Issues concerning health professionals Health professionals are concerned with whether patients are misinformed by online health information. Studies have shown that while information is sometimes wrong on these websites, users will correct their mistakes [13]. Patients doing their own research for health information may enjoy feeling prepared when making a doctor visit [11]. Online support groups often contain a lot of useful experiential knowledge from veteran patients, such as tips for making
  • 2. hospital visits, coping with life changes, or dealing with insurance [7-8]. Health professionals are also concerned with health outcomes and evaluating online intervention programs. Online support groups can be a useful behavior change technique for the design of interventions [3-4, 6]. The growing popularity of social media use has inspired healthcare professionals to look into incorporating it into healthcare programs [2], but still much is unknown about e- patient behavior in social media adoption. 2. Issues concerning patients Social Support Types Support groups are a source of social support, a broad concept that has no generally accepted definition but is comprised of different kinds such as informational, emotional, or instrumental assistance [11, 13, 15]. Although social support was studied in a variety of settings, there lacks a standard typology. Social support types have been described in detail by many other papers [10-11, 13-14, 17- 18] of two forms: resources intended to assist stressed individual to solve or eliminate problems causing distress (i.e. offering information or tangible aid), and emotional understanding (i.e. giving compliments, recognizing achievement, sense of belonging to group) to comfort support seekers [19-20]. Other types of positive interactions common among online support groups can include introductions, expressions of gratitude or congratulations [14, 21-22]. One line of research has attempted to describe categories of social support behaviors, which can range from simple to more complex categorizations (see [20, 23- 25]). Some users are more likely to offer support whereas others are more likely to lurk [8, 14, 16]. While some social support research looks at the roles people have in providing support (i.e. spouses, veteran patients), there lacks studies looking into the relational dynamics of support exchanged from an online support group based on social network site. Online vs. Face-to-Face support Communication through the Internet allows people to be anonymous, use text-based messages, interact independent of time and place, and have many possibilities to expand social network [26]. Computer-mediated features can affect how people compose messages, how they acquire and maintain relationships, and even affect group formation [26]. On the plus side, these online support groups give people the sense of belongingness, and to learn how to behave and cope with situation they are in [6, 26]. On the downside, difficulties may result from lack of visual and aural cues found in traditional face-to-face communication [6, 11]. Issues of cyberstalking, e-patients leaving virtual trails, and assessing reliability of information are still of concern of the online environment. Traditionally, doctors or family would be first source of health information; however the Internet opens up opportunities for people to get support without effects of stigma. Participation Factors Motivations for participating in online support groups can be from an information need or desire to be altruistic [27]. Researchers have observed that user activity levels in online communities tend to vary by individual [10, 28-29]. This might be because of different roles a person has (i.e. caretaker, patient, nurse, friend, etc) or personal values. Additionally, these websites are a great source of social support from compassionate people who may have had similar experiences [10-11, 30]. The more time people spend in an online group, the larger their online social network and the higher the satisfaction with the received support [31]. Several studies have investigated social support exchanges for various online patient communities such as breast cancer [7], disabilities [13], HIV/Aids [21], eating disorders [17], psychosis [14], and depression [22]. Participation in online health communities may be impacted by on the stigma attached to the illness [21, 32], rarity of disease, age [11, 33], or gender [34]. Participation may also be because people want to socially compare themselves with others to stand out, or to find people to fit in with for sense of belongingness. More research is needed to understand how social support provision and seeking is influenced by an individual’s social connections. 3. Issues concerning health informatics Much of the research in health informatics focuses on designing electronic health records, databases systems, or expert systems, rather than social computing for consumers. Of the small but growing body of literature on Internet- based patient communities, researchers identified patient expertise [7] and various types of support [7, 17-20] from interactions in discussion forums, or how collect patient data could help medical research. What has not been studied as much are interactions exchanged on websites specifically geared towards communication between individuals who have a relationship with each other, i.e. blogs or a social network site. Further research to increase understanding of social interactions on this type of platform is needed since social networking is predicted to increase in popularity in the future [21]. EXISTING SOLUTIONS Previous studies focused their research objectives on various issues: studying the strategies for soliciting support [18]; investigating various support types [7, 17-20]; understanding the nature of shared patient expertise such as problems in coping with breast cancer and recommendations [7]; identifying types of group interactions [22] such as  sharing personal  experience, expression of gratitude, and offering congratulations can facilitate social support exchanges among group members; and last in comparing online empathy with offline empathy [20]. All the aforementioned studies used data from discussion boards rather than social network sites.
  • 3. This study focuses on the supportive interactions through communication functions of a social network site. It is different from previous studies because it views communication medium as a tool in seeking support and that its’ selection can have impact on interactions. RESEARCH QUESTIONS New social media technology shows a gap in research literature that studies interactions between e-patients. The research question that can be addressed at this time is, “What is the impact of communication channels on interactions where social support is exchanged across social media (i.e. discussion forums, and journals)?” This question could be explored more fully with more specific questions such as the following: 1. Do users select different communication tools for different purposes? 2. What are patterns of supportive interactions across social media? 3. What are the different supportive roles people perform while participating in their social network and how is it communicated? PRELIMINARY ANALYSIS This section discusses some preliminary research ideas and a proposed approach to compare two data samples. Social support types were identified in an online alcoholism community for comparison between threads on a discussion forum (a public tool) vs. user journals (more personal). Preliminary results on the levels of social support identified are reported. Knowing characteristics of social support offered and sought in these virtual groups will help us to better understand the range of information needs (i.e. advice) in a supportive electronic environment. MedHelp has a few communication tools for members to use in conveying social support. The discussion forums are publicly accessible by members and nonmembers alike, where each thread is structured by an initial post and corresponding comments replied to the post. Users’ journals follow the same structure – posts and comments – but privacy level can be set to private, friends only, or everybody. Each user has the option to show activity on their profile page – i.e. new journal and forum posts, whereas forum activity is all displayed on the forum page. Approach  The MedHelp alcoholism community was selected for this preliminary study. Data was obtained from the discussion forum and the journals from members of the community using a web crawler on September 9th , 2009. Because emotional content is not currently recognizable with automatic methods, a qualitative content analysis was used to classify support types from three months time period. Concepts for coding social support types were developed first by reviewing related studies, their definitions and examples. Concepts were grouped into three high-level categories – informational, emotional, instrumental – proposed by [23]. These concepts are appropriate for this study as it was used in similar studies [13-14, 17-18]. Next the codes were tested on a small sample (n=10) to verify the applicability of definitions to alcoholism related messages and modified as necessary. Frequencies of each code category were calculated to analyze the overall levels of activity per support category (i.e. how many posts have each type of support?). We ignore typos and grammatical errors in messages. There may be instances where a support type occurs multiple times in a message (i.e. two book referrals) the type is counted only once per message. Coding Scheme There were three support types with sublevel concepts. Messages were coded by sublevel concept then grouped into the top level category for comparing informational vs. emotional supports. Instrumental support was not found in this data and not reported. Informational support in posts provide information (i.e. personal background information, describing certain incidents, coping techniques, etc.) or request information (i.e. advice, opinions, etc.) [14, 17-18, 23]. Subcategories include: advice, facts, personal experiences, information referral, and opinions. Nurturant support in posts provides emotional expressions of caring or concern (i.e. alleviating feelings of guilt, empathy, etc.) or can implicitly ask for support (i.e. validation of problem or feelings, presence of others to avoid feeling alone, etc.) [17-18, 23-25] Subcategories include: esteem, network, and emotional. Instrumental Support: provision of material or financial aid, or services [14, 17-18, 23]. There are no examples available from the dataset. An example is offering to drive someone to Alcoholics Anonymous meeting. Results The first sample consists of forum posts (FP=81) and comments (FC=412), which totals to 493 messages. Forum posts were created by patients themselves (n=56) or caretakers (n=14). 11 posts remain unidentified. The second sample had 423 messages, composed of journal posts (JP=88) and comments (JC=335). Sample Forums Journals Size N = 493 N = 423 Posts FP = 81 JP = 88 Comments FC = 412 JC = 335 Figure 1. Sample Sizes The results from forum threads and journals are presented first by support type offered and then by support type sought. Instrumental support was not found in either sample and thus not presented in this section. Support Offered Forum messages offered more informational support (84.7%) than nurturant support (58.6%). On the other hand,
  • 4. journal messages were more likely to have offered nurturant support (80.3%) than informational support (53.1%). 275 65 276 13 174 81 351 67 (n=335) JC (n=88) JP (n=412) FC (n=81) FP Informational Nurturant Figure 2. Offered Support 82.7% of forum posts provided informational support. For instance, users often introduced themselves by describing how much they drink. Users were less likely to start threads offering nurturant support (16%) such as encouragement to stay sober. Some messages offered both information and emotional support. Many comments (85.2%) offered information such as updates on a situation or answering questions in the posts, while a lesser majority (66.9%) offered emotional support such as sympathy. 92.0% of journal posts provided some form of information and less likely to have an emotional nature (73.8%). 51.2% of the comments offered some form of information in response to the journal post, whereas 82.0% of comments offered nurturant. Requested Support Forum users sought more informational support (24.9%) than emotional support (15%), and journal users sought more emotional support (14.6%) than information (10.6%). 14 32 26 36 28 12 64 59 (n=335) … (n=88) JP (n=412) … (n=81) FP Informational Nurturant Figure 3. Requested Support 72.8% forum posts sought information (i.e. recommended drugs for treatment). A smaller 44.4% sought emotional support. However, the comments had much less requested support. 15.5% sought informational support such as clarification of information and a minimal 6.3% were looking for emotional support such as validation. 13.6% journal posts sought information such as advice or other topics unrelated to alcohol abuse (i.e. pregnancy). Much more posts (36.3%) express need for emotional support. Conversely, in the comments there was significantly less requested support. 8.35% sought informational support such as clarification and a minimal 0.29% was looking for emotional support. For both samples, forum users were more likely to exchange information than any other type of support. Journal posts were more likely to request emotional support, and journal comments are likely to respond with provision of emotional support. This might be related to the connection between individuals using journals who interact at a more intimate level. Additionally, users may be using the forum as a way to reach out to a greater network to ask for opinions. Research on Yahoo! Answers portal shows a large percentage of users asking for opinions, which may indicate a need for advice on everyday decisions [26]. It seems that users choose each communication tool for different purposes [27]. Suggested Research In the subsequent phases of the preliminary study, investigations will be made to understand more about social relations among users who exchange social support. Social psychology research explored issues relationship intimacy and trust [28-29] as a factor for exchanging social support. People have relationships in different contexts of shared experience (i.e. work, family, book club) [11] and these relations may impact motives for participating in online support groups. The concept of social network analysis (i.e. measuring closeness of two individuals, the strength of their tie, and their social roles) to study how multiple individuals interact with each other in a larger group setting may be useful. A mixed methods approach would be needed to integrate study of social support types with relational dynamics. Contributions from research In this study, we have compared the social supports in forum and journal formats of MedHelp. The result in this work can be useful in many ways: (1) providing more insights to technological design factors and purpose behind supportive communications, and (2) providing insights on how online intervention program can be developed and promoted. ISSUES FOR DISCUSSION AT CONSORTIUM It would be wonderful to have the opportunity to discuss the pros and cons of this research direction that compares social media communication functions. Here are some specific questions: How to do further qualitative analysis and report results in such a way that multiple samples can be compared? Would social network analysis metrics be useful to this line of work, for future understanding of patterns of behavior (i.e. measuring in/out degrees, centrality, etc.)?
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