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  • Original Article
  • Open Access

Clinicians’ justification of imaging: do radiation issues play a role?

Insights into Imaging20101:29

  • Received: 9 December 2009
  • Accepted: 25 January 2010
  • Published:



To explore clinicians’ knowledge and consideration of radiation, in relation to their referral practice and use of referral guidelines for imaging.


A questionnaire was handed out to 213 clinicians in Norway; all responded: 77 general practitioners, 71 hospital physicians and 65 non-physicians (55 manual physiotherapists, 10 chiropractors). Questions concerned weighting of radiation dose, guideline use, referrals unlikely to affect treatment, doses from imaging procedures, ranking of imaging as radiation source, and deterministic and stochastic effects. For radiation knowledge, a total score was aggregated.


The mean radiation knowledge score was 30.4/71. Most respondents underestimated doses from high-dose imaging, e.g., barium enema (94.7%), chest CT (57.7%) and abdominal CT (52.7%). Limited radiation knowledge was not compensated by using guidelines. Only 20% of physicians and 72% of non-physicians used referral guidelines. Non-physicians weighted radiation dose as being more important than physicians when referring; they also reported fewer referrals as being unlikely to affect treatment. Such referrals and not using guidelines were related to lower weighting of radiation dose but not to radiation knowledge.


Limited radiation knowledge and guideline use indicate suboptimal justification of referrals. When justifying imaging, weighting of radiation dose may play a larger role than detailed radiation knowledge.


  • Diagnostic imaging
  • Referral guidelines
  • Radiation dosage
  • Questionnaires
  • Radiation protection


The increasing volume of medical imaging and particularly multislice computed tomography (CT) during the last few decades has turned radiation protection into one of the main concerns of the radiological community [14]. Justification and optimisation are cornerstones of radiation protection [5, 6], and this report deals with justification.

To be able to justify a radiation-based medical imaging procedure—that is, to weigh its costs against its benefits [6]—the referring clinician needs to know the magnitude of the radiation dose given and the possible detrimental effects of this exposure. To some degree, the lack of such knowledge could be compensated for by using referral guidelines [79] in the justification process.

Former studies have revealed that referring physicians possess limited knowledge about ionising radiation and its carcinogenic potential [1022], and that referral guidelines are not widely used [2326]. However, we have little data on radiation knowledge and use of referral guidelines among referring non-physicians, e.g., chiropractors [27, 28]. We also lack data on how knowledge and attitudes about radiation issues may relate to referral practice. Further data could help to design strategies for improving different clinicians’ justification processes and referral practices.

Accordingly, we explored general practitioners’, hospital physicians’ and non-physicians’ (1) radiation knowledge, (2) weighting of radiation dose when referring, (3) use of referral guidelines, (4) rate of and reasons for referrals unlikely to affect treatment, and (5) if this rate and their guideline use is related to their radiation knowledge and weighting. We hypothesised that clinicians who put less emphasis on radiation issues order imaging unlikely to affect treatment more often and use referral guidelines less often.

Materials and methods

In this study from Norway, hospital physicians, general practitioners, manual physiotherapists and chiropractors filled in an anonymous questionnaire. Manual physiotherapists acquired a referral licence for all techniques in 2006 and chiropractors in 1991 [29]. The study did not require approval from a research ethics committee.

Our questionnaire was based on literature review, a pilot study of six respondents and individual interviews with four clinicians to test face validity. It was handed out to 71 hospital physicians at all grades during their morning meetings at a 500-bed general hospital and to 77 general practitioners, 55 manual physiotherapists and 10 chiropractors during lectures at nation- or countywide courses of general interest within their fields, not related to radiation issues. All clinicians attending the actual meetings/ lectures were asked to fill in the questionnaire, which took about 15 min. They were not informed about the questionnaire session in advance. The first author supervised this session to ensure unaided answers.

The questions concerned, in this order: respondents’ age and gender, their weighting of (six-point scale) radiation dose and four other factors (Table 1) when referring for imaging, whether they knew of (yes/no) and had used (yes/no) referral guidelines, if they referred for imaging that most unlikely would affect treatment (yes/no), their approximate rate of such referrals (1, 5, 10, 20 or 50%) and the importance of (four-point scale) six listed reasons for such referrals (Table 1).
Table 1

Questions about medical radiation use and radiation protection


Response categories

To what extent are the listed factors important when you refer a patient for imaging?

Weighting of importance 1–6; 1 = very important, 6 = not important

 Radiation dose to patient


 Patient’s wish


 Impact on diagnosis


 Impact on treatment


 Impact on patient’s future health


Do you know of imaging referral guidelines where referrers can seek information on which investigations are indicated for which conditions?


Have you ever used such referral guidelines?


Do you refer patients for imaging in cases when you consider it most unlikely that the imaging results will affect treatment of the patient?


If yes, what is the proportion of such referrals among all your referrals (circa)?

1%, 5%, 10%, 20%, 50%

What are the reasons why you may refer when the imaging results most likely will not affect treatment? Please weight the listed reasons

Weighting of importance 1–4; 1 = very important, 4 = not important

 Patient expectations


 Give the patient the feeling of being taken seriously


 Lack of time, “get the patient out of the office”, discharge the patient


 Expectations from relatives


 Compensate for insufficient clinical examination


 Normal findings will reassure the patient


Please estimate the effective dose of the listed imaging procedures, compared to a chest x-ray (front and side projection). Please put a mark, even if you are uncertaina

Corresponding numbers of chest x-rays (front and side projection): 0–1, 1–10, 10–50, 50–200

 Cerebral CT


 Pelvic radiography


 Cerebral MRI


 Intravenous pyelography


 Chest CT


 Barium meal fluoroscopy


 Barium enema


 Abdominal CT


 Kidney ultrasound


 Thoracic spine radiography


 Sinus x-ray


 Sinus CT


We ask you to rank the contributors to the mean effective radiation dose for a Norwegian in 2006

Rank, 1 = largest contributor, 5 = smallest contributor

 Medical imaging


 Radon in homes


 Background gamma radiation


 Pollution from Sellafield in England


 Pollution from the Chernobyl nuclear plant accident


Detrimental effects of radiation are divided into deterministic and stochastic effects. Are you familiar with these terms? If yes, go to next question


This is a list of potential detrimental effects of radiation. Please mark whether you think these effects are stochastic or deterministic (one mark per effect)






 Foetus abnormalities


 Genetic adverse effects




 Lung cancer


aEstimates of effective dose were compared with national reference values or—when such values were lacking—with doses measured at the first author’s department

The next question was about effective dose, in number of chest x-rays (0–1, 1–10, 10–50 or 50–200) from 12 imaging procedures including radiography, fluoroscopy, CT, magnetic resonance imaging (MRI) and ultrasound [30] (Table 1). Respondents then had to rank the contribution of medical imaging to the mean effective dose for a Norwegian, compared with that of radon in homes, background gamma radiation, pollution from Sellafield in England and food pollution from the Chernobyl nuclear plant accident [31]. Finally, respondents were asked if they knew the terms deterministic and stochastic effects; if so, they should categorise six effects as either deterministic or stochastic [5].

We constructed a total radiation knowledge score ranging from 0 to 71. For the 12 imaging procedures, a correct dose gave 3 points and the closest wrong dose 1 point, yielding a maximum of 36 points. Ranking of radiation sources gave a maximum of 18 points. Ranking radon first and imaging second gave 9 points each, and the closest wrong rank gave 4 points. Knowing the terms stochastic and deterministic gave 5 points, and categorising the six detrimental effects correctly gave 2 points each, resulting in a maximum of 17 points. Missing data gave 0 points, and a total radiation knowledge score was noted for all participants.

For continuous normal distributed data, we used Student’s t-test and for categorical data, Wilcoxon signed rank test, Kruskal-Wallis, Mann-Whitney, Friedman’s and chi-squared tests, and Spearman's rho, as appropriate (see Results). Multiple linear regression analysis was used to examine factors that could influence radiation knowledge. Data were analysed using SPSS (version 16, SPSS Inc., Chicago, IL). A two-tailed p < 0.05 was accepted as statistically significant.


All invited clinicians (n = 213) participated in the study. Their mean age (range) was 44.6 (26–73) years. There was a male predominance (66%–75%) within all three main respondent groups (77 general practitioners, 71 hospital physicians and 65 non-physicians).

Radiation knowledge

The total score of radiation knowledge was mean 30.4 (SD 8.5) or 42.8% of the maximum. Analysed with a multiple linear regression analysis, total score did not correlate with age, but differed between men and women (mean 31.4 vs. 28.2, p = 0.01) and among the three main respondent groups (p = 0.03, Table 2). Age, sex and group explained only 6.4% of the variation in this score (R2 = 0.064).
Table 2

Total radiation knowledge score by respondent group



Mean score


General practitioners




Hospital physicians
































 Manual physiotherapists








Mean score was significantly different among general practitioners, hospital physicians and non-physicians: p = 0.03, multiple linear regression analysis

Most respondents underestimated radiation doses from high dose imaging: for barium enema 94.7%, barium meal 68.3%, chest CT 57.6%, intravenous pyelography 55.1% and abdominal CT 52.7% (Fig. 1a). The dose from paranasal sinus CT (Fig. 1b) was overestimated by 94.8%. For thoracic spine and pelvic radiography (Fig. 1c), similar proportions underestimated (21.6%, 18.7%) and overestimated dose (19.7%, 19.1%). According to 10.5% and 4.8% of respondents, MRI and ultrasound, respectively, implied some radiation dose. Dose estimates were given by 205–208 (96%–98%) of the 213 participants.
Fig. 1
Fig. 1

Distribution of respondents according to their radiation dose estimates in number of chest x-rays for abdominal CT (a), paranasal sinus CT (b) and pelvic radiography (c). Correct answers are marked in black

When ranking the magnitude of five different radiation sources for an average Norwegian, 38 (18.2%) out of 209 respondents correctly ranked medical imaging (1.1 mSv/year) as second after radon (3.0 mSv/year); 72 (34.4%) ranked imaging too high and 99 (47.4%) too low.

Only 34 (16.7%) out of 204 respondents stated they knew the terms deterministic and stochastic effects. When categorising six different detrimental effects as either stochastic or deterministic, these 34 respondents’ mean score was 6.8/12; chance would yield 6/12.

Weighting of radiation dose when referring

Considering a referral for imaging, respondents in the total sample weighted radiation dose as more important than the patient’s wish (p < 0.001, Wilcoxon signed rank test), but less important than the impact of the imaging on the patient’s diagnosis, treatment or future health (p < 0.001, Friedman’s test) (Table 3). Non-physicians rated radiation dose as more important than did general practitioners (p < 0.001, Mann-Whitney test) and hospital physicians (p = 0.001, Mann-Whitney test). Complete ratings were given by 212 (99.5%) of the respondents.
Table 3

Median score (interquartile range) for weighting the importance of different factors when referring for imaging: 1 = very important, 6 = not important


Radiation dose

Patient’s wish

Impact of imaging on diagnosis

Impact of imaging on treatment

Impact of imaging on future health

General practitioners (n = 77)

3.0 (2.0)

4.0 (3.0)

1.0 (1.0)

1.0 (0.0)

1.0 (1.0)

Hospital physicians (n = 70)

3.0 (1.0)

4.0 (2.0)

1.0 (1.0)

1.0 (0.0)

1.0 (1.0)

Non-physicians (n = 65)

2.0 (2.0)

5.0 (1.0)

1.0 (1.0)

1.0 (1.0)

1.0 (1.0)

Total (n = 212)

2.5 (1.0)

4.0 (2.0)

1.0 (1.0)

1.0 (0.0)

1.0 (1.0)

Use of referral guidelines

Only 58.0% (123/212) reported that they knew of referral guidelines, and 35.7% (76/213) had made use of such guidelines. The proportion that had used guidelines was higher for non-physicians (72.3%) than for general practitioners (19.5%) and hospital physicians (19.7%) (p < 0.001, chi-squared tests).

Referrals unlikely to affect treatment

As many as 88.3% of the general practitioners, 83.1% of the hospital physicians and 56.9% of the non-physicians referred for imaging that would be most unlikely to affect treatment (p < 0.001, chi-squared test). General practitioners reported a higher percentage of such referrals (median 10%) than did hospital physicians (5%, p = 0.04, chi-squared test) and non-physicians (5%, p < 0.001, chi-squared test).

Compared with the other four listed reasons for referrals that hardly affect treatment (Table 1), “normal findings will reassure the patient” and to “give the patient the feeling of being taking seriously” were rated as more important (p < 0.001, Friedman’s test). “Patient expectations” was rated as more important by general practitioners than by hospital physicians and non-physicians (p < 0.001, Mann-Whitney test). Non-physicians rated “lack of time”, “expectations from relatives” and to “compensate for insufficient clinical examination” as less important reasons than general practitioners and hospital physicians (p < 0.001, Mann-Whitney test).

Radiation issues in relation to referrals and guideline use

Lower weighting of radiation dose was related to admitting referrals unlikely to affect treatment (Figs. 2 and 3) and not having used guidelines (Fig. 4). However, the total radiation knowledge score was similar for clinicians denying (n = 49) and admitting (n = 164) referrals unlikely to affect treatment (mean 28.7 vs. 31.0, p = 0.10, Student’s t-test), did not correlate with their rate of such referrals (r = 0.14, p = 0.85, Spearman rho), and was similar for those who had and those who had not used guidelines (mean 29.4 vs. 31.0, p = 0.18, Student’s t-test).
Fig. 2
Fig. 2

Weighting the importance of radiation dose in relation to admitting referrals that are most unlikely to affect treatment (r = 0.14, p = 0.037, Spearman rho). 1 = very important, 6 = not important. Box-and-whisker plot where the grey box represents the interquartile range, the middle horizontal line the median and the whiskers the range. Numbered points are outliers

Fig. 3
Fig. 3

Weighting the importance of radiation dose in relation to percentage of referrals being most unlikely to affect treatment (r = 0.21, p = 0.005, Spearman rho). 1 = very important, 6 = not important. Box-and-whisker plot where the grey box represents the interquartile range, the middle horizontal line the median and the whiskers the range. Numbered points are outliers

Fig. 4
Fig. 4

Weighting the importance of radiation dose in relation to using referral guidelines (r = 0.18, p = 0.009, Spearman rho). 1 = very important, 6 = not important. Box-and-whisker plot where the grey box represents the interquartile range, the middle horizontal line the median and the whiskers the range. Numbered points are outliers


In this study, all three respondent groups possessed limited radiation knowledge, and 80% of the physicians did not use referral guidelines. Respondents who weighted radiation dose lower when referring reported less guideline use and more referrals as being unlikely to affect treatment. Non-physicians reported fewer such referrals, more use of referral guidelines and more weight on radiation dose.

Strengths and limitations

A 100% participation rate and the unprepared, unaided responses to our questionnaire yielded more valid data on radiation knowledge than achievable in a postal or e-mail survey. However, the use of questionnaires has inherent limitations, as some answers reflect respondents’ subjective opinions. In the present study, respondents’ self report on their own practice should be interpreted with care, e.g., it may be biased by a wish to answer “correctly”. Such bias was reduced by avoiding respondent identifiers on the questionnaire and hardly explains the most salient differences and relations.

Since responses had to be unprepared and supervised, it was not feasible to recruit respondents randomly from their respective professional groups to achieve a representative sample. Our respondents may nevertheless be fairly comparable to their groups on a national level. Mean age in the study sample vs. the national population was 48.1 vs. 46.8 years for general practitioners and 40.0 vs. 43.3 years for hospital physicians [32]. Hospital physicians were recruited at morning meetings for all residents, junior and senior physicians at a general hospital with common subspecialties (Table 2). General practitioners and non-physicians were recruited from courses of general interest.

Discussion of findings

Our study confirmed that clinicians often underestimate radiation doses [1022]. However, clinicians overestimated doses too, and some even reported radiation from MRI and ultrasound, as has also been found in other studies [1012, 17, 19, 22]. Similarly, physicians in a former study overestimated the teratogenic risk from ionising imaging [33]. Thus, balanced information on radiation doses and risks seems mandatory.

Despite their slightly poorer radiation knowledge, non-physicians put more weight on radiation dose when referring. One reason for this may be that non-physicians face mostly benign conditions, where radiation dose is more relevant than in cases of for example malignancy. A less likely reason, but one that we cannot rule out, is that some manual physiotherapists may have rated radiation dose higher to show that they deserve their recently acquired referral licence.

Although concurring with previous findings [24, 25, 34], it was remarkable that only 20% of the physicians had used referral guidelines. Clearly, few physicians used the Norwegian translation of the EU Commission Guidelines available on the web [35]. The much higher proportion (72%) of non-physicians using guidelines could be partly explained by the fact that the manual physiotherapists have developed their own guidelines [36] and that sub-specialists may be more familiar with their own adapted guidelines than with general guidelines on the same topic [26]. More use of referral guidelines among manual physiotherapists may also be partly due to their relatively short experience with imaging referrals.

Respondents’ rates of referrals unlikely to affect treatment were smaller than some reported rates of unjustified imaging (5–10% vs. 20%) [3739]. Our respondents may have underestimated their own rates, but the rate of unjustified and/or treatment-irrelevant imaging in Norway is not known.

As limited radiation knowledge was not compensated for by using referral guidelines, relevant information may have lacked in the justification process. Our study was not designed to examine the effect of efforts to improve this process. Yet, a higher weighting of radiation dose when referring was related to more guideline use and fewer referrals regarded as being unlikely to affect treatment. We therefore believe that increased weighting of radiation dose can help to optimise referral practice.

Implications and conclusions

Our findings do not necessarily apply in other health care systems, and they need confirmation in further studies. Nonetheless, these results have implications that may be of value to those attempting to improve the justification of imaging in cooperation with clinicians.

First, referring clinicians, both non-physicians and physicians, need information about radiation protection and the detrimental effects of radiation. To prevent overuse as well as underuse of medical imaging, this information must be balanced.

Second, referral guidelines should be more actively distributed and implemented [4042]. For example, as a start, one could incorporate such guidelines into every hospital’s computerised referral system, giving real-time, easily accessible decision support for referring clinicians [24, 4246].

Third, interventions to improve referral practice should target clinicians’ attitudes and not only their knowledge. Clinicians’ weighting of radiation dose seems more important to their referral practice than their detailed radiation knowledge.

Fourth, different interventions may be required for non-physicians and physicians, as they may differ in their attitudes towards radiation issues and in pre-existing guideline use and referral practice.

In conclusion, scarce radiation knowledge and limited use of referral guidelines indicate that the process of justifying imaging referrals needs to be improved. In this process, weighting of radiation dose played a larger role than detailed radiation knowledge. We found support for the hypothesis that clinicians who put less weight on radiation issues order imaging unlikely to affect treatment more often and use referral guidelines less often. Non-physicians used guidelines more often than physicians and weighted radiation dose as being more important. Efforts to improve the justification of radiation-based medical imaging should nevertheless raise awareness of radiation protection issues among all groups of referring clinicians.



We would like to thank Are Hugo Pripp, PhD, Biostatistics Unit, Research Services Department, Oslo University Hospital, Oslo, for his assistance with statistical issues.

Authors’ Affiliations

Department of Radiology, Buskerud Hospital, Dronning gaten 28, 3004 Drammen, Norway
Faculty of Health, Buskerud University College, P.O. Box 753, 3007 Drammen, Norway
Department of Radiology, Haukeland University Hospital, 5021 Bergen, Norway
Department of Surgical Sciences, University of Bergen, 5021 Bergen, Norway


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