The diffusion of information is crucial to the progress of
medicine. The great profusion of conferences, courses, and specialized journals allows a reasonably fast dissemination of knowledge. Nevertheless, electronic mail offers a low-cost and faster system of
information exchange that has been used extensively in the academic
environment. The growth of the Internet during the last few years has
enhanced this way of sharing information, becoming a popular way of
communication among nonacademic professionals.
Mailing lists are discussion groups usually focused on a subject, whose
members or subscribers interchange messages by electronic mail. Some
mailing lists are manually maintained. Others are maintained by a
number of commercial and public domain software packages including
Listserv, Majordomo, Listproc, and others. Postings sent to the group
are received by computers which run these softwares or list servers,
and automatically send them to all the members of the mailing list.
Thus, the comments may be read and discussed by the other subscribers,
and an electronic dialogue of comment, reply, and further replies is
established as an international conference on a topic held
daily.1 The subscription to a mailing list is free.
All that is required is a standard electronic-mail account and a simple
piece of communication software.
The degree of control during postings to a mailing list server varies
widely. The lowest level of control is restricting postings to members
of the list. This prevents nonmembers, particularly advertisers, from
posting to the mailing list. The next level is to subject each posting
to a process in which only messages that the manager of the mailing
list approves are available by the members of the mailing list. The
highest level of control includes both the posting approval and its
edition as needed. The more control a moderator exercises on a list the
more work is involved. Although the quality of a moderated list is
generally better it is at the expense of some spontaneity.
The arrival of the Internet and its electronic forums of discussion in
the field of biomedicine are generating concern as to whether the
opinions expressed in this media are sufficiently reliable.2 Consequently it has been suggested that certain measures of control should be introduced into these ever-changing, somewhat chaotic groups that have emerged as a result of computer networks. One possible way to evaluate opinions that are expressed on-line is to check up on the credentials as authors of the
participants by looking at their inclusion in bibliographical
databases. This is the approach we took to analyze both the potential
and real quality of a subset of pediatric Internet discussion groups.
At the same time we have also compared these groups with the more traditional forum of medical journals in which the latest medical findings are presented.
MATERIALS AND METHODS
From March 1 to June 30, 1996 we analyzed a subset of
unmoderated and professional discussion groups (mailing lists)
specializing in pediatric topics. We reviewed the lists of subscribers,
some general statistics supplied by automated mailing list servers and
the messages sent by members on-line.
Calculation of IFa Among Subscribers on Each Mailing List
After randomizing the whole list of subscribers of each group
(N) we selected a representative sample from
each one as previously described.10 Exploratory random
samples of nx size from each list of subscribers were
obtained to calculate the IFa and the quasivariance for each group
(Sx). Under these conditions, the IFa of
each exploratory sample follows a t-Student distribution (with nx-1 degrees of freedom) instead of a normal
distribution. The representative sample size
(n) is derived from the quasivariance (Sx) and the estimation error
(e):
in which
x2 is the
population variance, which is estimated by
Sx/n1/2.
Leaving n from this equation:
in which n
is assumed for infinite
populations.
K was obtained from the t-Student table with
nx-1 degrees of freedom for a specific probability (in our
case a probability level of 95%, with type I error equaling .05).
Then, an iterative process of increasing the degrees of freedom was
performed until two equal consecutive n
values were found. The final representative sample size for finite
populations (n) from each mailing list (N) is derived as follows:
The names of all members from these samples were searched in the
Silver-Platter (Silver Platter, Int, Boston, MA), Medline bibliographic
data base on the January 95 to December 95 CD, 1995 edition. The impact
factor of each of their papers was obtained after the Science Citation
Index (Institute for Scientific Information, Philadelphia, PA) 1994. The sum of all the individual impact factors divided by the size of
each sample gave an Index of Potential Quality (IPQ) for each mailing
list.
We also studied all the postings sent to each mailing list. The less
active lists were observed throughout a longer period of time to avoid
missing any high quality posting. Each member who posted to the list
was identified and searched as an author in Medline, and the impact
factor of each article was obtained as mentioned above. The sum of the
impact factors of these articles gave the impact factor of each
participant. From this we defined the following variables:
- The activity of the group, or the number of electronic
mailings per day.
- The index of participation, the percentage of subscribers on
each list that posted to the list during the observation period.
- The percentage of those participants that had articles
published in 1995.
- The IFA of the published authors, that is the sum of the
individual impact factors of the various articles divided by the number
of authors.
- The IFa per participant (IFp), that is the sum of the
individual impact factor of the published authors posting messages
divided by the total number of people posting messages whether
published authors or not.
- The IFa per posting (IFe), which was calculated by the sum of
the individual impact factors of participants in the discussions multiplied by the number of postings of each individual. This sum was
then divided by the total number of postings during the period of
observation.
- Finally, the Yield Index of the group which is calculated by
multiplying the IFe by the number of postings generated each day during
the period of observation.
We also analyzed the number of postings each group member sent.
This allowed us to assess which participants carried the weight of the
discussions in each list and what their reputation was in terms of
published articles.
Finally, a selected subset of journals specializing in pediatrics was
contrasted with the mailing lists on the Internet. The journals
selected were published in the same months as those in which we
monitored the mailing lists. These journals were:
- Journal of Pediatric Surgery, April 1996.
- Journal of Pediatrics, January, February, March 1996 (the section on Neonatal and Fetal Medicine).
- Pediatric Nephrology, April 1996.
- Journal of the American College of Cardiology,
February, April 1996 (the section on pediatric cardiology).
- Journal of Child Neurology, May 1996.
- Pediatric Pulmonology, December 1995.
The original articles and short communications from each journal
were analyzed. The first authors were searched in Medline and their
publications in 1995 were evaluated in terms of their impact factors in
the Science Citation Index as mentioned above. The individual impact
factor for each first author was calculated and their sum divided by
the number of articles analyzed gave a coefficient for each
publication. This coefficient was contrasted with the IPQ of the lists,
and also with the IFa per participant (IFp) on the lists on the
Internet.
Statistical analysis was performed with the Statistica software
(Statsoft Inc, Tulsa, OK, 1994).
RESULTS
We reviewed an extensive list of electronic-mail discussion groups
that centered their discussions on pediatrics and related topics (Table
1). From this list we then selected
those professional and unmoderated groups that were principally
concerned with pediatric specialties, and which had comparatively easy
access. As some of them (PEDIHEART, NICU-NET, PICU) were restricted, we
first sent an electronic mail to the coordinators to gain access. The resulting list was centered on twelve mailing lists (Table 1, in
italics).
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Table 1.
Some Pediatric Mailing Lists on the Internet*
[View Table]
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Table 2 shows the data concerned with the potential of
the lists. The most popular lists, which had most subscribers, were NICU-NET and PICU (1889 and 1197, on June and April 1996, respectively). Those with the highest percentage of published authors
for 1995 among subscribers were PEDPATH and PEDIHEART (28%). When the
quality of their articles was considered, the lists with the highest
potential quality based on their IPQ were also PEDPATH and PEDIHEART
(2.9 and 1.4, respectively). No significant correlations among the indexes were found.
The study of postings in the mailing lists generated the data shown in
Table 3. The average observation period was 43.8 days (range, 22 to 86). The most active lists were NICU-NET and PICU, with
12 and 10.75 postings per day, respectively (data not shown). The most
participative ones were CHILD-NEURO, PED-LUNG, PEDPATH, and PEDIHEART
(17%, 16%, 14%, and 14% of subscribers, respectively). The one
which showed the highest percentage of published authors who actively
participated in discussions was CHILD-NEURO (29%). PEDPATH (IFA 10.5)
and PEDIHEART (9.0) members had the best average quality publications
(data not shown). The highest IFa of the active participants in the
mailing lists (IFp), were found in PEDPATH and CHILD-NEURO (2.4 and
2.0, respectively). PEDPATH and CHILD-NEURO rated the highest average
IFe, 2.7 and 2.1, respectively (data not shown). CHILD-NEURO and
PEDIHEART had the highest yield (Yield Index, 11.0 and 6.0, respectively), that is to say they had on average many postings by
published authors with high impact factors.
When the IPQ of the lists was contrasted with the average IFp in the
discussions (IFp), one can generally note a certain similarity, but on
occasion the IPQs are slightly greater (Fig 1). Exceptional cases are CHILD-NEURO and PED-LUNG, with an apparently better average
quality among their participants than among their subscribers (IFp = 2.0 vs IPQ = .8, and IFp = 1.0 vs IPQ = .6, respectively). The opposite cases, that is much higher quality in their
subscribers than in their participants, are PED-SURG-L (IPQ = .7 vs IFp = .1), PEDI-OTO (IPQ = .5 vs IFp = .1), PICU
(IPQ = .4 vs IFp = .2) and NICU-NET (IPQ = .4 vs
IFp = .2).
Fig. 1.
IPQ of the lists versus IFa among participants (IFp) in the postings.
CHILD-NEURO and PED-LUNG improved their potential quality (IFp much
higher than IPQ). PEDI-OTO and PED-SURG-L showed IFp much lesser than
IPQ. PEDNEPH, data not available in the study of subscribers.
[View Larger Version of this Image (24K GIF file)]
In addition, the subscribers of each mailing list who participated in
discussions during the observation period were grouped according to the
number of postings they sent to the lists. The average IFp was then
calculated as a function of the postings per participants (Fig
2). In general, the higher the postings per participant the
higher the IFp.
Fig. 2.
Distribution of average IFp in each mailing list per number of postings
per participant. In some lists (PICU, PEDS-UROLOGY) discussions were
held by few of members with high publishing standing; others showed
more uniform participation (PEDPATH, CHILD-NEURO).
[View Larger Version of this Image (40K GIF file)]
The data from the analysis of the journals of pediatric specialties are
shown in Table 4. The journal with the best IFa per first author was the section of pediatric cardiology from the Journal of the American College of Cardiology (5.3). Except
for Pediatric Pulmonology the rest of the publications
showed a high index (range, 40 to 50%) of first authors who published
in 1995. The IFa per first author of the journals was higher than the
IFp of the corresponding mailing list in all cases, but CHILD-NEURO reached an impact factor similar or higher than some of the journals (Fig 3).
Fig. 3.
Comparison of IFa among the lists and the pediatric journals. All the
journals had a higher IFa among their first authors than the average
impact factors of the participants on the corresponding mailing list.
Nevertheless, CHILD-NEURO rated a higher value than some of the
journals.
[View Larger Version of this Image (23K GIF file)]
DISCUSSION
We conclude that the most popular and active list is NICU-NET.
Those that have authors with the greatest standing among the subscribers, are PEDPATH and PEDIHEART. PEDPATH and CHILD-NEURO have
the highest quality per posting. Finally, CHILD-NEURO provides the
highest yield, that is a high quality with a high activity.
Some interesting findings arise when we contrast the potential quality
of the subscribers of a list (IPQ, average IF per subscriber) and the
postings (IFp, average IF per participant) (Fig 1). CHILD-NEURO and
PED-LUNG showed much higher IFp than their IPQ, that is real quality
much higher than potential quality. This may be attributed to an
underestimation of the IPQ because 23% and 27% of the subscribers, respectively, were not identified (Table 2). Similarly, this may be
the reason to explain why PED-SURG-L and PEDI-OTO showed such a low IFp
as regards to their IPQ (0.1 vs .7, and .1 vs .5, respectively). In
fact, 23% and 29% of their subscribers, respectively, were not
identified. PICU and NICU-NET showed very low IFp compared with their
IPQ despite their low percentages of not available data in the study of
potential. This could be interpreted as a result of the higher
participation of nurses and other health professionals with low
publishing capacity in these lists (28% of members in NICU-NET are not
physicians),7 or the unequal participation of members
in on-line interventions.
The number of postings that each participant sent to the discussions
per IFa in each group, was the variable created to know if more active
subscribers necessarily had higher impact factor as published authors.
From the data we conclude that on some lists published authors with
high impact factor often posted messages which had a significant effect
on the global impact factor of the list (eg, PICU and PEDS-UROLOGY).
However, in other lists the participation was more uniformly shared
(eg, PEDPATH, CHILD-NEURO, PEDNEPH, and PEDIHEART), that is to say
people with high standing as authors contributed relatively little in
comparison with others of lesser recognized standing.
Clearly the introduction of the Internet into the world of science
brings with it a series of advantages because it allows both an
exchange of ideas and knowledge, and also a greater speed of
communication and easier access worldwide. A recent case exemplifies these advantages. In Haiti, when a batch of locally produced
acetaminophen was contaminated with diethylene glycol, various children
were intoxicated and several of them died. This fact was made known on
PEDNEPH and allowed a rapid intervention of pediatric nephrology departments of various United States centers which proved vital in the
ensuing evacuation of these children with renal failure. They were
provided with hemodialysis in United States hospitals apart from
facilitating a rapid etiological diagnosis and the identification of
the toxic agent. The first published recognition of the event appeared
in the New York Times on 26th June but it had been made
known on PEDNEPH by 17th June.
Moreover, this is achieved at a lower cost because it eliminates time
consumed on printing, transport, and distribution. We are on the
threshold of a new era of information exchange in medicine which may
impact the relationship and mode of contact between physician
scientists, the role of biomedical publications, and the very way in
which medicine is taught.11 Some authors have pointed out
the necessity of rethinking the role that biomedical journals should
have before such publications "die a natural death" and, bearing
this in mind, many journals already offer partial or complete
electronic versions,12 or even articles not available on
the written edition (eg, Pediatrics electronic pages,
http://www.pediatrics.org). Finally others question whether mailing
lists are, in fact, the ideal forums for the interchange of medical
information or whether they are useful sources of information for those
who practice medicine.2
To date we are not aware of previous studies dealing with the quality
of various forums of medical discussions on the Internet. Hence, the
different quality indexes used in the present study are open to certain
dispute. However, they are based on the accumulation of defined impact
factors generated by the published articles of the various members of
the discussion groups, a way for any scientific group to gain prestige
in a given field of science. For this reason we have deemed it useful
to assess the quality of Internet resources in other fields of study.
Finally, we accept that the comparison of the coefficients that were
obtained from the analysis of certain journals may be open to different
interpretations.
It is important to emphasize that by no means this study suggests that
a three-month subscription to CHILD-NEURO would yield more than one
issue of the Journal of Pediatric Surgery or of Pediatric Pulmonology. On the contrary our data suggest that
just as the live exchanges of knowledge through direct,
person-to-person contact or by attending scientific congresses serve as
a recognized way of enriching our knowledge, so should this new way of
exchanging scientific information from personal computer to personal
computer be respected and encouraged as a powerful, innovative, and
successful complementary method.
Received for publication Aug 12, 1996; accepted Mar 3, 1997.
Reprint requests to (A.A.H.-B.) Valencia, 21. 38005 Santa Cruz
de Tenerife, Tenerife (Canary Islands, Spain).
The authors are sincerely grateful to Professor Eduardo
Doménech for his advice in the revision of this manuscript. We
thank Dr Armando Torres (and the other members of the Research Unit of
the University Hospital of the Canary Islands) for his help and acute
commentaries about our work, Dr Pablo Macías and Dr Asunción Gaspar for their advice and company at the long Medline sessions, Sheila Merritt for her efforts in translating this
manuscript, and Dr Eduardo Salido for his comments about the reviewed
version of the manuscript.
IPQ, Index of Potential Quality.
IFp, impact factor
per participant.
IFe, impact factor per posting.
IFa, average impact
factor.