This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Web of Science (27)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Carroll, A. E.
Right arrow Articles by Christakis, D. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Carroll, A. E.
Right arrow Articles by Christakis, D. A.
Related Collections
Right arrow Office Practice
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?
PEDIATRICS Vol. 113 No. 2 February 2004, pp. 238-242

Pediatricians’ Use of and Attitudes About Personal Digital Assistants

Aaron E. Carroll, MD, MS*,{ddagger} and Dimitri A. Christakis, MD, MPH§,||

* Department of Pediatrics, Indiana University, Indianapolis, Indiana
{ddagger} Robert Wood Johnson Clinical Scholars Program
§ Department of Pediatrics
|| Child Health Institute, University of Washington, Seattle, Washington


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CHANCE BLINDNESS
 REFERENCES
 
Background. Personal digital assistants (PDAs) are being increasingly used in medical practice. Although they have been touted as having the ability to improve efficiency and safety, little is known about pediatricians’ use of and attitudes about PDAs.

Objective. Our goals were to 1) determine the percentage of pediatricians using PDAs and computers, 2) determine perceived strengths and weaknesses of PDAs, and 3) explore characteristics associated with beliefs and use.

Design/Methods. Pediatricians (2130) were selected randomly from the American Medical Association Physician Masterfile of US-licensed physicians. All participants were mailed a survey along with a prepaid return envelope and a $1 incentive. Up to 3 mailings were sent per participant.

Results. Of eligible participants, 63.2% returned a survey. There were no significant differences between respondents and nonrespondents with respect to sex, type of practice, and present employment. Thirty-five percent of respondents currently use PDAs at work, and 40% currently use PDAs for personal use. Of those using PDAs, the most commonly used applications were for drug reference (80%), personal scheduling (67%), and medical calculations (61%). Few pediatricians are currently using PDAs for prescription writing (8%) or billing (4%). Users of PDAs were more likely to be male (adjusted odds ratio [AOR]: 2.29; 95% confidence interval [CI]: 1.64–3.19), in an urban community (AOR: 1.81; 95% CI: 1.30–2.55), in training (AOR: 2.64; 95% CI: 1.58–4.42), not in private practice (AOR: 1.47; 95% CI: 1.03–2.11), and a more recent graduate of medical school (AOR: 1.04 per year; 95% CI: 1.02–1.06). When controlling for covariates, those using PDAs were more likely to believe that PDAs can decrease medical errors (AOR: 2.22; 95% CI: 1.46–3.38) and increase efficiency (AOR: 2.40; 95% CI: 1.56–3.71). When compared with nonusers, users were less likely to view the small screen size (AOR: 0.53; 95% CI: 0.37–0.77) or system speed (AOR: 0.47; 95% CI: 0.26–0.84) as a problem but were significantly more likely to view memory as an issue (AOR: 3.48; 95% CI: 2.30–5.25).

Conclusions. More than one third of pediatricians are using PDAs in clinical practice. There seems to be a general consensus among users that they have the potential to improve patient safety and streamline care. Future studies should explore means to utilize their potential.


Key Words: pediatrician • hand-held • PDA • computer

Abbreviations: PDA, personal digital assistant • AMA, American Medical Association • AOR, adjusted odds ratio • CI, confidence interval

Portable information technology is increasingly being used in clinical practice. Personal digital assistants (PDAs) have the ability to allow clinicians to enter and access data both remotely and at the point of care. PDAs have been reported as a means to document patient encounters and procedure logs,14 provide decision support,5,6and access clinical information wirelessly and securely.7 Applications have been developed to record and store patient information, calculate appropriate drug doses, provide databases of important information, and offer other forms of bedside data support.8 More significantly, recent studies have documented the potential of PDAs to affect the quality of patient care.9,10 Automated wireless alerts have been used to prevent medical errors and alert clinicians to critical lab values as soon as they are available;10 point-of-care information has improved the quality of antibiotic prescribing.11 A PDA-based patient record and charting system showed some benefit in improving the accuracy of documentation in resident progress notes in a neonatal intensive care unit.9 Rigorous studies documenting benefits and harms of PDA use, however, are unfortunately not available in large numbers.

Information about PDA use in the lay press abounds; little is known, however, about the actual use and practice patterns of physicians using them. Although others have attempted to estimate use and perceptions among different groups, these prior studies have been hampered either by selective sampling or because they have been issued by industry and thereby are potentially biased.12 Other investigations have been published as news reports or press releases but without the scrutiny of peer review.1315 Little information exists that accurately summarizes the beliefs of pediatricians concerning PDA strengths and weaknesses, and even less is available that describes the differences between users and nonusers. Such information is essential to the planning of future applications and systems, because the effectiveness of programs and systems depends on user acceptance of them.16,17

We undertook this research to 1) determine the percentage of pediatricians using PDAs and computers, 2) determine their perceptions of strengths and weaknesses of PDAs, and 3) explore characteristics associated with beliefs and use.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CHANCE BLINDNESS
 REFERENCES
 
The American Medical Association (AMA) Physician Masterfile is recognized as the most complete and accurate list of licensed physicians in the United States. We sampled 2130 pediatricians from this masterfile through Direct Medical Data (Skokie, IL), which manages and distributes data from the masterfile through a licensing agreement with the AMA. The sample was completely random, with no oversampling or adjusting. We estimated that, if we had a response rate of 50% yielding 1000 responses, we could estimate the prevalence of PDA use with 95% confidence with an interval of ±3%. Resident physicians were included in the sample.

All participants were mailed the survey along with a cover letter, prepaid return envelope, and a $1 incentive. The cover letter assured all recipients that participation was voluntary and responses would remain anonymous. Recipients were instructed to return the survey unanswered if they chose not to participate. Those not responding were contacted and resent the survey up to 2 additional times at 1-month intervals between July and September 2002.

This study was approved by the University of Washington Institutional Review Board.

Survey
The survey took ~5 minutes to complete. The initial questions asked recipients to indicate whether they use a PDA at home or work and whether they use a computer at home or work. If they used a PDA, they were asked to provide its make and model and what applications they used at work. We also asked them to indicate potential strengths of PDAs to improve health care and impediments to their use through a 5-point Likert scale ranging from 5 ("strongly agree") to 1 ("strongly disagree").

The rest of the survey consisted of 6 questions asking participants to supply their percent of time in general versus specialty practice, year of medical school graduation, training status, gender, primary practice description, and primary practice community.

Statistical Analysis
We used multivariate logistic regression to assess relationships between demographic and professional characteristics and attitudes about PDAs. Multivariable models were adjusted for covariates chosen a priori, including sex, year of graduation, training status, specialty distinction, practice setting, and practice location. When comparing users to nonusers, we grouped Likert responses into 2 groups: "agree" (5 and 4) and "disagree" (3, 2, and 1). We did this because we wished to compare those that "agreed" with the statements to all others. We performed calculations using the STATA 7.0 statistical package (STATA Corporation, College Station, TX).


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CHANCE BLINDNESS
 REFERENCES
 
Sample
Of the 2130 mailed surveys, 164 were returned by the post office with no forwarding address, and 91 were returned by nonpracticing physicians. These were excluded from subsequent analyses. From the 1875 remaining eligible participants, we received 1185 surveys, yielding a response rate of 63.2%. Because of missing data, not all totals equaled 1185. There were no significant differences between respondents and nonrespondents with respect to gender and type of practice as defined in the AMA Physician Masterfile. Respondents, on average, had graduated from medical school 1 year later than nonrespondents (P < .02). Demographic data on survey respondents are presented in Table 1.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Demographic Data on Survey Respondents

 
Use of PDAs
Of those responding to the survey, 35% currently use a PDA at work, and 40% currently use a PDA for personal use (Table 2). Of note, an additional 9.6% indicated that they had used a PDA in the past but no longer considered themselves users. The majority of those using PDAs chose one running the Palm operating system (Palm Pilot, Handspring Visor, or Sony Clié) system (89.7%), with most of those remaining (8.9%) choosing to use a PDA running the PocketPC operating system (Casio Cassiopeia, Compaq Ipaq, or HP Jordana).


View this table:
[in this window]
[in a new window]
 
TABLE 2 Pediatricians’ Use of PDAs and Computers

 
Of those using PDAs, the most commonly used applications in the work setting were for drug reference (80%), personal scheduling (67%), medical calculations (61%), and computerized texts (38%). Few pediatricians are currently using PDAs for prescription writing (8%) or billing (4%) (Fig 1).


Figure 1
View larger version (27K):
[in this window]
[in a new window]
 
Fig 1. Application use among PDA users.

 
In analyses adjusting for potential differences in other major personal and practice characteristics, a number of predictors of PDA use remained independently significant. PDA users were more likely to be male (adjusted odds ratio [AOR]: 2.29; 95% confidence interval [CI]: 1.64–3.19), practice in an urban community (AOR: 1.81; 95% CI: 1.30–2.55), be in training (AOR: 2.64; 95% CI: 1.58–4.42), and not be in private practice (AOR: 1.47; 95% CI: 1.03–2.11). For every year later that a respondent graduated from medical school (ie, 1986 vs 1985), their use of a PDA increased significantly (AOR: 1.04 for each year later; 95% CI: 1.02–1.06).

Those graduating medical school in the last 5 years were much more likely to use PDAs in practice than those who graduated >5 years ago (62% vs 29%; P < .001).

Pediatricians’ Perceptions of PDAs
In general, users were somewhat more likely to feel that PDAs have greater potential to improve health care than nonusers (Fig 2). On a 5-point Likert scale, both users and nonusers felt that the greatest potential lay in their ability to increase access to information (means: 4.5 for users and 4.0 for nonusers). Respondents also felt that PDAs had the potential to decrease medical errors (means: 4.2 for users and 3.8 for nonusers) and improve efficiency (means: 4.2 for users and 3.6 for nonusers). With respect to barriers to the use of PDAs, nonusers felt that each of the potential weaknesses was more of an impediment than users (Fig 2). The greatest impediments were felt to be the difficulty of data entry into a PDA (means: 3.4 for users and 3.7 for nonusers) and the small screen size (means: 3.1 for users and 3.6 for nonusers).


Figure 2
View larger version (38K):
[in this window]
[in a new window]
 
Fig 2. Pediatricians’ perceptions of PDA strengths and weaknesses (* indicates comparisons for which significance achieved P < .05).

 
When adjusting for covariates, a number of these potential benefits and perceived barriers were found to be significantly associated with use of a PDA. Users were more likely to believe that PDAs can decrease medical errors (AOR: 2.22; 95% CI: 1.46–3.38) and increase efficiency (AOR: 2.40; 95% CI: 1.56–3.71). When compared with nonusers, users were less likely to view as a problem the small screen size (AOR: 0.53; 95% CI: 0.37–0.77) or system speed (AOR: 0.47; 95% CI: 0.26–0.84) but were significantly more likely to view memory as an issue (AOR: 3.48; 95% CI: 2.30–5.25).


    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CHANCE BLINDNESS
 REFERENCES
 
Our study indicates that more than one-third of pediatricians are currently using PDAs in their clinical practices. In analyses adjusting for differences in personal and practice characteristics, we found that users were more likely to be male, in training, practicing in a nonprivate setting, in an urban community, and later graduates of medical school. Both users and nonusers agreed that PDAs have the potential to improve access to information, although users were more likely than nonusers to believe in the PDA’s potential to decrease medical errors and improve efficiency. Users were also more likely to view the limited memory of a PDA as an issue and less likely to view small screen size or system instability as an impediment to use.

This study is subject to the typical limitations of self-report surveys, such as response bias and an inability to establish a causal relationship between differences in personal and professional characteristics and pediatrician attitudes. However, we had a response rate of 63.2%, which is considerably higher than the mean for published survey studies of physicians.18 Furthermore, respondents were not significantly different from nonrespondents with respect to gender and type of practice as defined in the AMA Physician Masterfile. It is also possible that responses to surveys do not reflect actual practice. However, our questions were simple and straightforward, and the potential for social desirability in responses seems low. Finally, some of our differences were quite small, although they reached statistical significance. How clinically relevant these differences are is unknown.

Millions of dollars are spent every year on new and, for the most part, untested technologies. Much of this money is spent unwisely on systems and software that ultimately are not acceptable. More than 30% of computer systems built internally by corporations for their employees are either canceled or rejected after completion.19 Without well-designed trials we cannot tell if the use of any information technology carries actual benefits or even harms.20 Although there is a growing body of literature about PDAs and their uses, little of it is evidence based.21 We hope that this study helps to provide some answers and a foundation for future investigations.

The effectiveness and usefulness of future applications and systems certainly depends on user acceptance of them.16,17 Our results suggest that concerns about screen size and system speed are 2 factors that significantly separate users from nonusers. Such information may be useful to those designing PDAs that may be more widely accepted by pediatricians. According to our results, there seems to be a general consensus that PDAs can improve access to information. There also seems to be a belief, especially among users, that PDAs can contribute to a reduction in medical errors. Additionally, a majority of users are using applications for drug reference and medical calculations. Medication errors have been found to be the most common type of medical error in the pediatric inpatient setting.22 Therefore, it may be wise for future studies to examine the ability of PDAs to reduce medication errors through the use of existing or new drug-prescribing or error-checking applications. Because such programs already have widespread acceptance among PDA users, they may have a higher probability of showing a significant improvement in care.

Although a minority of pediatricians overall are using PDAs, a majority of recent medical school graduates are using them. According to the adopter categories described by Rogers,23 pediatricians have likely passed the "early adopters" stage and gone into the "early majority" stage. This could have additional implications on how quickly pediatricians as a whole continue to adopt this technology.24 It is likely that the overall percentage of pediatricians using PDAs will rise significantly in the next few years as more-recent graduates adopt their use and less-recent graduates retire. If current trends continue, in the near future the PDA may be a commonly used tool in the practice of pediatrics. Studies to evaluate the potential benefits and harms of PDA use are warranted.


    CHANCE BLINDNESS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CHANCE BLINDNESS
 REFERENCES
 
"Consider this scenario: if you were watching a circle of people passing a basketball, and someone dressed in a gorilla costume walked through the circle, stopped to beat his chest, and exited, of course you would notice him immediately—wouldn’t you? Simons and the psychologist Chris Chabris filmed such a scene and showed it to people who were asked to track the movement of the ball by counting the number of passes made by one of the team. Approximately half of the participants failed to notice the gorilla. ... Focused on tracking the ball’s movement, people are blind to what happens to unattended objects and thus do not encode the sudden change."

Schacter D. The Seven Sins of Memory. Houghton Mifflin; 2001

Submitted by Student


    ACKNOWLEDGMENTS
 
Support for Dr Carroll was provided by the Robert Wood Johnson Foundation.

We thank Frederick P. Rivara, MD, MPH, for helpful suggestions in the preparation of this manuscript.


    FOOTNOTES
 
Received for publication Jan 16, 2003; Accepted Jun 23, 2003.

Address correspondence to Aaron E. Carroll, MD, MS, Riley Research, Rm 330, Indiana University School of Medicine, 699 West Dr, Indianapolis, IN 46202. E-mail: acarro{at}u.washington.edu

The views expressed within this article are those of the authors and do not necessarily represent the views of the Robert Wood Johnson Foundation or the University of Washington.


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 CHANCE BLINDNESS
 REFERENCES
 

  1. Marshall M, Sumner W 2nd. Family practice clerkship encounters documented with structured phrases on paper and hand-held computer logs. Proc AMIA Symp.2000 :547 –550
  2. Bird SB, Zarum RS, Renzi FP. Emergency medicine resident patient care documentation using a hand-held computerized device. Acad Emerg Med.2001; 8 :1200 –1203[Web of Science][Medline]
  3. Eastes L. Use of the personal digital assistant for point-of-care trauma documentation. J Emerg Nurs.2001; 27 :516 –518[Medline]
  4. Fischer S, Lapinsky SE, Weshler J, et al. Surgical procedure logging with use of a hand-held computer. Can J Surg.2002; 45 :345 –350[Medline]
  5. Ruland CM. Clinicians’ use of a palm-top based system to elicit patient preferences at the bedside: a feasible technique to improve patient outcomes. Proc AMIA Symp.2000 :739 –743
  6. Roth AC, Leon MA, Milner SM, Herting RL Jr, Hahn AW. A personal digital assistant for determination of fluid needs for burn patients. Biomed Sci Instrum.1997; 34 :186 –190[Medline]
  7. Duncan RG, Shabot MM. Secure remote access to a clinical data repository using a wireless personal digital assistant (PDA). Proc AMIA Symp.2000 :210 –214
  8. Informatics Review. Handheld computing resources on the internet. Available at: http://www.informatics-review.com/handheld.html. Accessed January 8, 2003
  9. Carroll AE, Tarczy-Hornoch P, O’Reilly E, Christakis DA. The effect of point-of-care personal digital assistant use on resident documentation discrepancies. Pediatrics.2004; 113 :In press
  10. Shabot MM, LoBue M, Chen J. Wireless clinical alerts for physiologic, laboratory and medication data. Proc AMIA Symp.2000 :789 –793
  11. Christakis DA, Zimmerman FJ, Wright JA, Garrison MM, Rivara FP, Davis RL. A randomized controlled trial of point-of-care evidence to improve the antibiotic prescribing practices for otitis media in children. 2001;107(2). Available at: http://www.pediatrics.org/cgi/content/full/107/2/e15
  12. Rothschild JM, Lee TH, Bae T, Bates DW. Clinician use of a palmtop drug reference guide. J Am Med Inform Assoc.2002; 9 :223 –229[Abstract/Free Full Text]
  13. Harris Interactive. Physicians’ use of handheld personal computing devices increases from 15% in 1999 to 26% in 2001. Available at: http://www.harrisinteractive.com/news/newsletters/healthnews/HI_HealthCareNews2001Vol1_iss25.pdf. Accessed January 8, 2003
  14. American College of Physicians. ACP-ASIM survey finds nearly half of U.S. members use handheld computers. Available at: http://www.acponline.org/college/pressroom/handheld_survey.htm. Accessed January 8, 2003
  15. American Academy of Pediatrics. Periodic survey of fellows 51–use of computers and other technologies. Available at: http://www.aap.org/research/periodicsurvey/ps51exs.htm. Accessed January 8, 2003
  16. Nikula RE. Why implementing EPR’s does not bring about organizational changes—a qualitative approach. Medinfo.2001; 10 :666 –669[Medline]
  17. Berg M. Implementing information systems in health care organizations: myths and challenges. Int J Med Inf.2001; 64 :143 –156[CrossRef][Web of Science][Medline]
  18. Asch DA, Jedrziewski MK, Christakis NA. Response rates to mail surveys published in medical journals. J Clin Epidemiol.1997; 50 :1129 –1136[CrossRef][Web of Science][Medline]
  19. Gibbs WW. Taking computers to task. Sci Am.1997; 277(7) :82 –89
  20. Tierney WM, Overhage JM, McDonald CJ. A plea for controlled trials in medical informatics. J Am Med Inform Assoc.1994; 1 :353 –355[Free Full Text]
  21. Fischer S, Stewart TE, Mehta S, Wax R, Lapinsky SE. Handheld computing in medicine. J Am Med Inform Assoc.2003; 10 :139 –149[Abstract/Free Full Text]
  22. Kaushal R, Bates DW, Landrigan C, et al. Medication errors and adverse drug events in pediatric inpatients. JAMA.2001; 285 :2114 –2120[Abstract/Free Full Text]
  23. Rogers E. Diffusion of Innovations. 4th Ed. New York, NY: The Free Press; 1995
  24. Brown S, Venkatesh V. Bringing non-adopters along: the challenge facing the PC industry. Commun ACM.2003; 46 :76 –80

PEDIATRICS (ISSN 1098-4275). ©2004 by the American Academy of Pediatrics

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Anesth. Analg.Home page
B. G. Fahy
Acute Pain Management Efficiency Improves with Point-of-Care Handheld Electronic Billing System
Anesth. Analg., February 1, 2009; 108(2): 583 - 587.
[Abstract] [Full Text] [PDF]


Home page
Eval Health ProfHome page
L. A. Crane, M. F. Daley, J. Barrow, C. Babbel, B. L. Beaty, J. F. Steiner, A. Kempe, L. Miriam Dickinson, and S. Stokley
Sentinel Physician Networks as a Technique for Rapid Immunization Policy Surveys
Eval Health Prof, March 1, 2008; 31(1): 43 - 64.
[Abstract] [PDF]


Home page
Med Decis MakingHome page
F. Yu, T. K. Houston, M. N. Ray, D. Q. Garner, and E. S. Berner
Patterns of Use of Handheld Clinical Decision Support Tools in the Clinical Setting
Med Decis Making, December 1, 2007; 27(6): 744 - 753.
[Abstract] [PDF]


Home page
J Intensive Care MedHome page
B. G. Fahy and J. T. Ketzler
Implementation of a Handheld Electronic Point-of-Care Billing System Improved Efficiency in the Critical Care Unit
J Intensive Care Med, November 1, 2007; 22(6): 374 - 380.
[Abstract] [PDF]


Home page
J. Am. Med. Inform. Assoc.Home page
M. N. Ray, T. K. Houston, F. B. Yu, N. Menachemi, R. S. Maisiak, J. J. Allison, and E. S. Berner
Development and Testing of a Scale to Assess Physician Attitudes about Handheld Computers with Decision Support
J. Am. Med. Inform. Assoc., September 1, 2006; 13(5): 567 - 572.
[Abstract] [Full Text] [PDF]


Home page
Med Care Res RevHome page
P. A. Fishman, M. C. Hornbrook, R. T. Meenan, and M. J. Goodman
Opportunities and Challenges for Measuring Cost, Quality, and Clinical Effectiveness in Health Care
Med Care Res Rev, September 1, 2004; 61(3_suppl): 124S - 143S.
[Abstract] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Web of Science (27)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Carroll, A. E.
Right arrow Articles by Christakis, D. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Carroll, A. E.
Right arrow Articles by Christakis, D. A.
Related Collections
Right arrow Office Practice
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?