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Year : 2016  |  Volume : 60  |  Issue : 10  |  Page : 771-774  

Internet use among anaesthesiologists: A cross-sectional survey

1 Department of Neuroanaesthesia, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
2 Michael G. DeGroote Institute for Pain Research and Care; Department of Anesthesia; Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Canada
3 Department of Periodontology, AECS Maaruti College of Dental Sciences and Research Centre, Bengaluru, Karnataka, India

Date of Web Publication7-Oct-2016

Correspondence Address:
Sriganesh Kamath
Department of Neuroanaesthesia, 3rd Floor, Faculty Block, National Institute of Mental Health and Neurosciences, Hosur Road, Bengaluru - 560 029, Karnataka
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0019-5049.191700

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How to cite this article:
Kamath S, Busse JW, Venkataramaiah S, Rachana C. Internet use among anaesthesiologists: A cross-sectional survey. Indian J Anaesth 2016;60:771-4

How to cite this URL:
Kamath S, Busse JW, Venkataramaiah S, Rachana C. Internet use among anaesthesiologists: A cross-sectional survey. Indian J Anaesth [serial online] 2016 [cited 2021 Jul 28];60:771-4. Available from: https://www.ijaweb.org/text.asp?2016/60/10/771/191700

   Introduction Top

Anaesthesiologists access the internet for both personal and professional reasons, and the global network has helped to bridge the information gap between developed and developing countries. [1] There are limited data regarding how anaesthesiologists professionally use the internet. The objectives of this study were to assess time spent by anaesthesiologists on the internet, as well as purposes and patterns of use.

   Methods Top

We compiled a 17-item, English-language questionnaire to evaluate anaesthesiologist's use of the internet and their perceptions regarding its role in practice. We pre-tested our survey with four anaesthesiologists who evaluated relevance, clarity and comprehensiveness. The final questionnaire had closed-ended response options for all questions [Appendix 1 available online [Additional file 1]].

We used KwikSurveys ® to facilitate online completion of our survey. Responding to survey questions was not mandatory and respondents could choose more than one answer for some questions. We obtained contact information for all 822 members of the Bengaluru branch of the Indian Society of Anaesthesiologists. After excluding 34 entries that were duplicates, missing E-mails or group mails, we sent an E-mail request to the remaining 788 anaesthesiologists detailing the intent of our survey and a link to our questionnaire. One reminder was sent after 1 week.

We hypothesised a priori that greater use of internet by anaesthesiologists would be associated with: (1) male gender (2) involvement in teaching or research (3) earlier career stage and (4) availability of a smartphone. The dependent continuous variables were anaesthesiologist's self-reported total time and professional time spent on the internet. We calculated that we would require at least forty completed surveys to ensure reliability of our linear regression models (10 respondents for each independent variable). [2] We used the enter method to build our adjusted regression model and all comparisons were two-tailed and variables were considered significant if they had P < 0.05. We report the unstandardised regression coefficient and 95% confidence interval for each variable, which represents the change in response score on the dependent variable (hours on the internet per day). We plotted residuals from the regression analyses to ensure that their distributions were reasonably normal. Multicollinearity was deemed concerning if the variance inflation factor for any independent variable was >5. [3] We performed analyses using SPSS Statistics, version-23 (IBM Corporation, New York, USA).

   Results Top

The overall response rate was 12.4% (98/788). Most respondents were male (56.8%; 54/95), employed at a medical college (48.4%; 46/95), and junior consultants (46.9%; 45/96). The majority of respondents endorsed the internet as their most important source of information (61.2%; 60/98); most of them spent 1-2 h (40.6%; 39/96) or >2 h (38.5%; 37/96) on the internet per day. Approximately 1-in-3 respondents (35.1%; 33/94) endorsed an addiction to internet [Table 1].
Table 1: Demographic characteristics of the respondents and details of internet usage

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All 98 respondents endorsed use of the internet for their academic work, research or patient management. Most respondents accessed the internet after working hours (55.1%; 54/98), primarily through a smartphone (77.6%; 76/98). The internet search engine Google ® was the main source of scientific information for 89.8% of respondents (88/98). Only 27.6% (27/98) endorsed internet videos as their main source for learning new anaesthesia skills; conventional resources, observing and assisting seniors (46.9%; 46/98) or attending workshops (43.9%; 43/98) were more commonly endorsed. The most popular internet videos were on the topic of regional anaesthesia (67.3%; 66/98) [Table 1]. Most respondents (72.6%; 69/95) used social media and mobile apps for sharing information. The majority of respondents (76.3%; 71/93) felt that online courses and webinars were likely to replace in-person conferences in the future.

In our multivariable analysis, neither gender, career level, involvement in teaching or owning a smartphone were associated with anaesthesiologists' time spent on the internet [Table 2]. Standardised residual plots showed no violation of model assumptions [Figure 1]. The variance inflation factor was <2 for each independent variable, suggesting no issues with multicollinearity. Our model explained approximately 1% of the variation (adjusted R2 = 0.012) in respondents' time spent on the internet, suggesting that other variables that we did not assess are important in influencing duration of use. Findings were similar for our model exploring factors associated with anaesthesiologists' professional time spent on the internet (data not shown).
Figure 1: Scatter plot of residuals: expected versus observed cumulative probability*. *The association of unstandardised residuals with total hours on the internet per day was significant (B = 1.00, 95% confidence interval = 0.95-1.05; P < 0.001)

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Table 2: Variables associated with total hours spent on the internet per day (n=93)*

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   Discussion Top

Our survey found that majority of anaesthesiologists endorsed the internet as their most important source of knowledge and most spent >1 h/day on the internet. Acquisition of new anaesthesia skills primarily occurs through observing peers/seniors and attending workshops, but 27.6% of respondents also used internet videos. Most respondents (76.3%) endorsed use of social media and mobile apps for sharing anaesthesia-related information. Almost 1-in-5 anaesthesiologists reported accessing the internet during surgery. This may facilitate rapid knowledge uptake for patient care, but there is also the possibility for distraction leading to patient harm. However, one study exploring the effect of non-record keeping activity during anaesthesia, including access to the internet, did not find significant haemodynamic variability or aberrancies from such practice. [4]

Our survey found high use of social media platforms among anaesthesiologists, which was also reported in earlier surveys involving mental health-care professionals, [5] but not in public health researchers. [6] There are certain challenges associated with physician's use of social media, particularly as posted information may be publically available. The American Medical Association Council on Ethical and Judicial Affairs has published guidance for doctors regarding non-clinical use of the internet, including a framework for interaction between patients and physicians, ethical and confidentiality issues and benefits and pitfalls of social media. [7]

A 2012 survey of 1750 physicians found that the number of years in practice did not predict internet use, but male gender, younger age and working in teaching positions were associated with greater use. [8] We did not find an association between internet use and gender, teaching or training roles, career level or ownership of a smartphone. We found that 35% of anaesthesiologists in our survey self-reported addiction to the internet. Our results are similar to rates of internet addiction endorsed by professional students (medical, paramedical and engineering) from Central India (35% scored at least mild addiction on Young's internet addiction scale) [9] and college students in Bengaluru (34% scored at least mild addiction). [10]

Our study is limited by our low response rate(12.4%) and administration to a single branch of the Indian Society of Anaesthesiologists, which limits generalisability of our findings. Unfortunately, similar response rates for surveys of social media/internet usage have been reported among mental health practitioners (11.8%) and Australian physicians (12.5%). [5],[11] As well, the factors we explored in our regression model did not explain time spent on the internet. Further, we derived rates of internet addiction through self-reporting and not through validated criteria.

   Conclusion Top

The internet is commonly used by anaesthesiologists in Bengaluru to communicate and obtain information. Strategies to ensure optimal use of the internet to improve anaesthesiologists' practice are uncertain and require further study. Future studies are also needed to identify factors that explain variability in internet use among anaesthesiologists. High rates of self-reported internet addiction may be a cause for concern.


We acknowledge the contribution of participating anaesthesiologists to this survey. The authors acknowledge and thank Indian Society of Anaesthesiologists, Bengaluru, for providing the E-mails of their members for conduct of our survey.

Financial support and sponsorship

No funds were received for the preparation of this manuscript.

Conflicts of interest

There are no conflicts of interest.

   References Top

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Frank H. Regression Modeling Strategies - With Applications to Linear | Frank Harrell | Springer. Available from: http://www.springer.com/us/book/9781441929181. [Last cited on 2016 Apr 10].  Back to cited text no. 2
Belsley DA, Kuh E, Welsch RE. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York: John Wiley & Sons; 1980.  Back to cited text no. 3
Wax DB, Lin HM, Reich DL. Intraoperative non-record-keeping usage of anesthesia information management system workstations and associated hemodynamic variability and aberrancies. Anesthesiology 2012;117:1184-9.  Back to cited text no. 4
Deen SR, Withers A, Hellerstein DJ. Mental health practitioners' use and attitudes regarding the internet and social media. J Psychiatr Pract 2013;19:454-63.  Back to cited text no. 5
Keller B, Labrique A, Jain KM, Pekosz A, Levine O. Mind the gap: Social media engagement by public health researchers. J Med Internet Res 2014;16:e8.  Back to cited text no. 6
Shore R, Halsey J, Shah K, Crigger BJ, Douglas SP; AMA Council on Ethical and Judicial Affairs (CEJA). Report of the AMA Council on Ethical and Judicial Affairs: Professionalism in the use of social media. J Clin Ethics 2011;22:165-72.  Back to cited text no. 7
Cooper CP, Gelb CA, Rim SH, Hawkins NA, Rodriguez JL, Polonec L. Physicians who use social media and other internet-based communication technologies. J Am Med Inform Assoc 2012;19:960-4.  Back to cited text no. 8
Sharma A, Sahu R, Kasar P, Sharma R. Internet addiction among professional courses students: A study from central India. Int J Med Sci Public Health 2014;3:1.  Back to cited text no. 9
Krishnamurthy S, Chetlapalli SK. Internet addiction: Prevalence and risk factors: A cross-sectional study among college students in Bengaluru, the Silicon Valley of India. Indian J Public Health 2015;59:115-21.  Back to cited text no. 10
[PUBMED]  Medknow Journal  
Brown J, Ryan C, Harris A. How doctors view and use social media: A national survey. J Med Internet Res 2014;16:e267.  Back to cited text no. 11


  [Figure 1]

  [Table 1], [Table 2]


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