Literature DB >> 22382119

Psychosocial consequences of allocation to lung cancer screening: a randomised controlled trial.

Louise Mosborg Aggestrup1, Mie Sara Hestbech, Volkert Siersma, Jesper Holst Pedersen, John Brodersen.   

Abstract

OBJECTIVE: To examine the psychosocial consequences of being allocated to the control group as compared with the screen group in a randomised lung cancer screening trial.
METHOD: The Danish Lung Cancer Screening Trial, a randomised controlled trial, ran from 2004 to 2010 with the purpose of investigating the benefits and harms of lung cancer screening. The participants in Danish Lung Cancer Screening Trial were randomised to either the control group or the screen group and were asked to complete the questionnaires Consequences Of Screening and Consequences Of Screening in Lung Cancer (COS-LC). The Consequences Of Screening and the COS-LC were used to examine the psychosocial consequences of participating in the study, by comparing the control and the screen groups' responses at the prevalence and at the incidence round.
RESULTS: There was no statistically significant difference in socio-demographic characteristics or smoking habits between the two groups. Responses to the COS-LC collected before the incidence round were statistically significantly different on the scales 'anxiety', 'behaviour', 'dejection', 'self-blame', 'focus on airway symptoms' and 'introvert', with the control group reporting higher negative psychosocial consequences. Furthermore, the participants in both the control and the screen groups exhibited a mean increase in negative psychosocial consequences when their responses from the prevalence round were compared with their responses from the first incidence round.
CONCLUSIONS: Participation in a randomised controlled trial on lung cancer screening has negative psychosocial consequences for the apparently healthy participants-both the participants in the screen group and the control group. This negative impact was greatest for the control group.

Entities:  

Year:  2012        PMID: 22382119      PMCID: PMC3293139          DOI: 10.1136/bmjopen-2011-000663

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Introduction

Screening for cancer is a double-edged sword.1 2 It has the potential of resulting in beneficial effects, in some cases of early detection leading to better prognosis and less aggressive treatment. However, cancer screening also has the potentially harmful effect of detecting inconsequential cancer too early, which leads to overdiagnosis and overtreatment.3 Furthermore, healthy screening participants may experience distress due to false-positive findings.4–6 Several aspects have been thoroughly examined within mammographic screening. Two studies reported that receiving a normal screen result might influence psychological well-being because women with normal findings, participating in breast cancer screening programmes, found this reassuring.7 8 In addition, a recent study indicated that at the population level, women perceived breast screening as a reassuring and preventive initiative and/or perceived a lack of the option for screening as insecure.9 Moreover, women overestimated the beneficial effects and underestimated the harmful effects of screening mammography.7 10 Important sources of information for the population about the benefits and harms of breast screening appear to be the media, together with family and friends.11 A systematic review on scientific articles about breast cancer screening concluded that these articles tend to emphasise the benefits of screening over the harms.12 As screening is directed at apparently healthy individuals rather than patients, there is a particular ethical responsibility to ensure that participation in screening programmes is beneficial. During the last decades, there has been a rise in the implementation of cancer screening programmes in anticipation of benefits from the early diagnosis of cancer. Particularly in relation to lung cancer, which is now the leading cause of death among cancers,13 there is a widespread interest in clarifying the benefits and harms of screening.14–16 Previous non-randomised trials involving lung cancer screening with spiral CT scanning have indicated that lung cancer screening may lead to harm in the form of overdiagnosis of inconsequential lung cancer.17 18 The efficacy of CT screening in reducing lung cancer mortality is being tested in five randomised controlled trials: one from the USA19 and four European trials,20–23 including the Danish Lung Cancer Screening Trial (DLCST).22 The trial from the USA reported a 20% reduction in lung cancer mortality.19 Lay people seem to perceive cancer screening as predominantly beneficial and something that increases our safety and health. Comments from participants in the DLCST revealed that many of them think of the study as an ordinary screening programme rather than a scientific trial.24 In general, studies on healthy persons' experience of participating in the control group are sparse. Cancer patients participating in psychological intervention research reported disappointment at having been randomised to the control group.25 Other studies registered that subjects in the control group were more inclined to gain access elsewhere to the assistance they had hoped to obtain by joining the trial.26 27 One study concerning apparently healthy smokers' experience of being allocated to the control group in a smoking cessation trial concluded that they were disappointed at being assigned to their group and had a higher dropout rate than subjects in the intervention group.28 This could lead to the hypothesis that healthy individuals who are participating in a lung cancer screening trial and who are randomised to the control group will feel more worried and insecure. Therefore, the objective of this study was to examine the psychosocial consequences of being allocated to the control group compared with the screen group in a randomised lung cancer screening trial.

Materials and methods

Our a priori hypothesis of this study was that being randomised to the control group in a lung cancer screening trial carries negative psychosocial consequences. The DLCST was carried out from 2004 to 2010 and included 4104 participants, who were randomised to either annually low-dose CT scanning (screen group) or to the control group, whose members were not offered CT scanning.22 Socio-demographic characteristics were collected at the prevalence round. In order to examine the psychosocial consequences of participating in the DLCST, all the participants were asked to complete the questionnaires Consequences Of Screening (COS) and Consequences Of Screening in Lung Cancer (COS-LC).22 Further details about the DLCST can be found in the article regarding the prevalence round.22 The questionnaire COS was completed prior to the randomisation and before the first screening round. In the following incidence screening rounds, the participants were asked to complete the COS-LC annually. Thus, when completing the COS, none of the 4104 participants knew whether or not they were to be screened. In contrast, the participants were all aware of their randomisation status when they were asked to complete COS-LC the following years. Only the responses from the prevalence round and the first incidence round were analysed in the present study. A longitudinal analysis was carried out by comparing the responses collected with the COS before the prevalence round with the responses collected with the COS-LC before the first incidence round (figure 1). In the analysis of the screen group, only those having normal screening results were included and those with true-positive and false-positive screening results were excluded. Hence, the development of psychosocial consequences after 1 year of participation in the trial was emphasised. Furthermore, cross-sectional analysis was conducted comparing the COS responses from the control group with the COS responses from the screen group, all responses having been collected before randomisation (figure 1). In addition, a cross-sectional analysis was conducted using data collected with the COS-LC before the first incidence round. In this latter analysis, the responses from the control group were compared with the responses from those in the screen group who had a normal CT scan result in the prevalence round (figure 1).
Figure 1

The recruitment, the prevalence round and the first incidence round in the Danish Lung Cancer Screening Trial.

The recruitment, the prevalence round and the first incidence round in the Danish Lung Cancer Screening Trial.

Questionnaires

The COS-LC is a multidimensional questionnaire measuring psychosocial consequences in lung cancer screening. The COS-LC has high content validity and adequate psychometric properties, statistically validated with the Partial Credit Rasch model for polytomous items.24 The content of the COS-LC was developed on the basis of the questionnaire Consequences Of Screening in Breast Cancer: a condition-specific instrument measuring psychosocial consequences of screening mammography.24 29 The COS is the common core questionnaire of the COS-LC and the Consequences Of Screening in Breast Cancer, and the COS has shown to be relevant for persons participating in both breast and lung cancer screening programmes.24 29 The COS and the COS-LC are multidimensional instruments consisting of two parts.24 29 Part I of the COS-LC is measuring the psychosocial aspects relevant for potential screening participants and can be used before the potential participants are invited to lung screening, at invitation to screening, at screening and after screening.24 In contrast, part II of the COS-LC is only applicable for participants after a final diagnosis: normal, false-positive and true-positive screening results.24 This part is related to the long-term psychosocial consequences of cancer screening itself and is thereby only applicable to the screen group.24 29 Therefore, only part I of the COS and the COS-LC, respectively, was used in the present study. Part I of the COS encompasses four scales and two single items: ‘anxiety’, ‘sense of dejection’ and ‘negative impact on behaviour and sleep’ plus the items ‘busy to take mind of things’ and ‘less interest in sex’. These four scales and two single items are also included in part I of COS-LC. In addition, part I of the COS-LC encompasses five additional lung cancer screening-specific scales: ‘focus on airway symptoms’, ‘introvert’, ‘stigmatisation’, ‘harm of smoking’ and ‘self-blame’. The two single items and all the items in the nine psychosocial scales have four response categories: ‘not at all’, ‘a bit’, ‘quite a bit’ and ‘a lot’ scored 0, 1, 2 or 3, respectively. The higher the score of the outcome, the more negative psychosocial consequences the person has experienced. Furthermore, the participants were asked to complete a single item about their self-rated health with five response categories going from very good health to very poor health with a score range from 0 to 4.

Statistics

Socio-demographic characteristics, smoking habits and psychosocial consequences of screening at the prevalence round and the first incidence round, respectively, were compared between the screen group and the control group either with t test (for interval scale variables) or χ2 test (for categorical variables). Specifically, the COS and the COS-LC scales representing the dimensions of psychosocial consequences were viewed as interval scale variables and tested with t tests. The different developments in the responses to the COS scales from the prevalence round to the first incidence round between the control and the screen groups were analysed in a linear regression model on the longitudinal COS data, using generalised estimated equations methods to account for repeated measurement on the same individual. From this model, t tests were derived to test whether these developments were different from zero for each randomisation group and different from each other between randomisation groups. The level of significance was p<0.05.

Ethical approval

The DLCST was approved by the Ethical Committee of Copenhagen County on 31 January 2003 and funded in full by the Danish Ministry of Interior and Health on 23 June 2004. Approval of data management in the trial was obtained from the Danish Data Protection Agency on 11 February 2005. The trial is registered in Clinical.Trials.gov Protocol Registration System (identification no. NCT00496977).

Results

Of the 4104 participants, 179 had a positive CT scan in the first round of screening (figure 1). Subsequent examinations concluded that 17 had lung cancer and 162 had a false-positive screening result.22 The 179 participants were excluded from this specific study because abnormal CT scans have previously been shown to result in negative psychosocial consequences with the possibility of distorting the analysis.24 The screen group and the control group were compared regarding socio-demographic characteristics and smoking habits, to ensure that no systematic differences could be found (table 1).
Table 1

Comparisons of socio-demographic characteristics and smoking habits between the participants in the control group and the participants in the screen group with normal results in the prevalence round

Categoriesn/nControl group, n=2052Screen group, n=1873p Value*
n (%)/mean (SD)n (%)/mean (SD)
Socio-demographics
 Gender
  Male2052/18731120 (54.6)1073 (57.3)0.088
  Female932 (45.4)800 (42.7)
 Age (mean)
2052/187357.3 (4.8)57.2 (4.8)0.6433
 Social group
  I2040/1866141 (6.9)144 (7.7)0.8508
  II410 (20.1)370 (19.8)
  III378 (18.5)341 (18.3)
  IV552 (27.1)494 (26.5)
  V282 (13.8)242 (13.0)
  Employed, social group uncertain168 (8.2)171 (9.2)
  Outside the labour market109 (5.3)104 (5.6)
 School education
  7–9 Grade2047/1870716 (35.0)633 (33.9)0.1961
  10 Grade790 (38.6)705 (37.7)
  Upper secondary school leaving exam532 (26.0)515 (27.5)
  Other9 (0.4)17 (0.9)
 Vocational education
  None2048/1868201 (9.8)172 (9.2)0.2943
  Semi-skilled worker27 (1.3)19 (1.0)
  Vocational training725 (35.4)643 (34.4)
  Short further education194 (9.5)183 (9.8)
  Middle range training539 (26.3)463 (24.8)
  Long further education225 (11.0)240 (12.9)
  Other137 (6.7)148 (7.9)
 Employment status
  Employed2046/18681325 (64.8)1264 (67.7)0.1338
  Studying12 (0.6)8 (0.4)
  Job seeking104 (5.1)103 (5.5)
  Retired605 (29.6)493 (26.4)
 Region of habitat
  Capital region2045/18621654 (80.9)1493 (80.2)0.8755
  Region Zealand349 (17.1)329 (17.7)
  Region of Southern Denmark28 (1.4)30 (1.6)
  Central Denmark Region11 (0.5)7 (0.4)
  North Denmark Region3 (0.2)3 (0.2)
 Living alone
  No2035/18651453 (71.4)1331 (71.4)0.9817
  Yes582 (28.6)534 (28.6)
Smoking habits
 Smoking status
  Current smoker2052/18731579 (77.0)1411 (75.3)0.2353
  Former smoker473 (23.0)462 (24.7)
 Smoking history§ (mean)
2048/187235.9 (13.4)36.3 (13.4)0.3229
 Motivation for smoking cessation
  Very strong2022/1856224 (11.1)174 (9.4)0.3780
  Strong503 (24.9)485 (26.1)
  Weak492 (24.3)437 (23.6)
  Very weak159 (7.9)133 (7.2)
  No wish to quit171 (8.5)165 (8.9)
  Current non-smoker473 (23.4)462 (24.9)

p Value from a χ2 test (categorical variables) or a t test (continuous variables).

Age in years per 2 January 2010.

According to current or last job (when retired).

Pack-years (cigarettes per day/20× smoking years).

Comparisons of socio-demographic characteristics and smoking habits between the participants in the control group and the participants in the screen group with normal results in the prevalence round p Value from a χ2 test (categorical variables) or a t test (continuous variables). Age in years per 2 January 2010. According to current or last job (when retired). Pack-years (cigarettes per day/20× smoking years). There was no statistically significant difference in relation to gender, age, social group, education, employment, region of residence, living alone or smoking habits. The comparison of the psychosocial aspects between the participants in the control group and the participants in the screen group with negative results measured with the COS before the prevalence round are listed in table 2.
Table 2

Comparisons at the prevalence round of the COS outcomes between the groups of the DLCST study

Range of valuesn/nControl group, n=2052Screen group, n=1873p Value
Mean (SD)Mean (SD)
COS scales
 Anxiety0–181995/18231.61 (2.31)1.48 (2.20)0.0748
 Behaviour0–212018/18380.84 (2.08)0.72 (1.78)0.0456
 Dejection0–182024/18411.37 (2.17)1.21 (1.99)0.0254
 Sleep0–122019/18490.70 (1.72)0.63 (1.56)0.1957
Single items
 Busy to take mind of things0–32036/18540.23 (0.62)0.21 (0.58)0.3066
 Less interest in sex0–32035/18580.48 (1.17)0.45 (1.13)0.2873
 Self-rated health0–42042/18650.97 (0.77)0.95 (0.74)0.5977

p Value from a t test.

Controlling for multiple testing by setting the false discovery rate to maximum 5% with the method of Benjamini–Hochberg, the significance level was taken to be p<0.0071.

COS, Consequences Of Screening; DLCST, Danish Lung Cancer Screening Trial.

Comparisons at the prevalence round of the COS outcomes between the groups of the DLCST study p Value from a t test. Controlling for multiple testing by setting the false discovery rate to maximum 5% with the method of Benjamini–Hochberg, the significance level was taken to be p<0.0071. COS, Consequences Of Screening; DLCST, Danish Lung Cancer Screening Trial. After controlling for multiple testing, none of the COS scales or single items demonstrate any statistically significant difference between the control group and the screen group. The control group reported higher psychosocial aspects on all scales compared with the screen group. It is worth noting that randomisation had not yet been done at this stage. One year later, at the incidence round, the same individuals completed the COS-LC (table 3).
Table 3

Comparisons at the incidence round of the Consequences Of Screening in Lung Cancer (COS-LC) questionnaire outcomes between the participants in the control group and the participants with normal screening results in the screen group of the DLCST study

Range of valuesn/nControl group, n=1884Screen group, n=1817p Value
Mean (SD)Mean (SD)
COS scales
 Anxiety0–181437/17491.71 (2.79)1.50 (2.52)0.0263*
 Behaviour0–211426/17412.02 (3.04)1.76 (2.85)0.0129*
 Dejection0–181451/17601.88 (2.98)1.61 (2.71)0.0085*
 Sleep0–121454/17651.79 (2.57)1.64 (2.47)0.1032
COS-LC scales
 Self-blame0–151468/17562.62 (3.75)2.32 (3.53)0.0202*
 Focus on (airway) symptoms0–241446/17493.80 (3.93)3.30 (3.58)0.0002*
 Stigmatisation0–121458/17601.25 (2.41)1.16 (2.26)0.2821
 Introvert0–181453/17632.22 (2.96)1.89 (1.76)0.0007*
 Harm of smoking0–61473/17851.63 (1.75)1.53 (1.66)0.0880
 Anxiety+§0–211431/17431.77 (2.93)1.55 (2.67)0.0238*
Single items
 Busy to take mind off things0–31456/17580.30 (0.66)0.27 (0.63)0.0799
 Less interest in sex0–31465/17740.66 (1.29)0.66 (1.33)0.9221
 Self-rated health0–41476/17800.97 (0.80)0.93 (0.80)0.1592

p Value from a t test.

Controlling for multiple testing by setting the false discovery rate to maximum 5% with the method of Benjamini–Hochberg, the significance level was taken to be p<0.0269 (indicated by*).

The COS anxiety scale with an extra item: shocked.

COS, Consequences Of Screening; DLCST, Danish Lung Cancer Screening Trial.

Comparisons at the incidence round of the Consequences Of Screening in Lung Cancer (COS-LC) questionnaire outcomes between the participants in the control group and the participants with normal screening results in the screen group of the DLCST study p Value from a t test. Controlling for multiple testing by setting the false discovery rate to maximum 5% with the method of Benjamini–Hochberg, the significance level was taken to be p<0.0269 (indicated by*). The COS anxiety scale with an extra item: shocked. COS, Consequences Of Screening; DLCST, Danish Lung Cancer Screening Trial. Table 3 illustrates the cross-sectional analyses between the two groups at the incidence round. A statistically significant (p<0.0001) greater number of participants in the screen group showed up at the first incidence screening round (97.0%) compared with participants from the control group (91.8%) The number of participants completing COS and COS-LC had fallen when comparing the prevalence and the incidence round. Notable was the statistically significant difference between the two groups' responses on the scales: ‘anxiety’, ‘behaviour’, ‘dejection’, ‘self-blame’, ‘focus on airway symptoms’ and ‘introvert’. There was no statistically significant difference in the scales and single items: ‘sleep’, ‘stigmatisation’, ‘harm of smoking’, ‘busy to take mind off things’, ‘less interest in sex’ and ‘self-rated health’. Table 4 shows the results from the statistical analysis of the longitudinal development in the responses on COS and COS-LC from the prevalence round to the incidence round.
Table 4

Mean increase from the prevalence round to the incidence round in the Consequences Of Screening in Lung Cancer (COS-LC) questionnaire outcomes in the participants in the control group and the participants with negative screening results in the screening group of the DLCST study

Range of valuesControl group, n=2052
Screen group, n=1873
p Value
Mean increase (SE)p ValueMean increase (SE)p Value§
COS scales
 Anxiety0–180.1275 (0.0689)0.06440.0299 (0.0657)0.64930.3056
 Behaviour0–211.1962 (0.0770)<0.0001*1.0535 (0.0690)<0.0001*0.1681
 Dejection0–180.5371 (0.0750)<0.0001*0.4076 (0.0686)<0.0001*0.2031
 Sleep0–121.1025 (0.0651)<0.0001*1.0271 (0.0585)<0.0001*0.3887
Single items
 Busy to take mind off things0–30.0760 (0.0189)<0.0001*0.0539 (0.0173)0.0019*0.3903
 Less interest in sex0–30.1811 (0.0348)<0.0001*0.2253 (0.0318)<0.0001*0.3490
 Self-rated health0–40.0196 (0.0185)0.2898−0.0270 (0.0165)0.10180.0605

p Value from a t test pertaining to the increase in the control group.

Controlling for multiple testing by setting the false discovery rate to maximum 5% with the method of Benjamini–Hochberg, the significance level was taken to be p<0.0238 (indicated by*).

p Value from a t test pertaining to the increase in the screen group.

p Value from a t test pertaining to the difference in increase between the control and the screen groups.

COS, Consequences Of Screening; DLCST, Danish Lung Cancer Screening Trial.

Mean increase from the prevalence round to the incidence round in the Consequences Of Screening in Lung Cancer (COS-LC) questionnaire outcomes in the participants in the control group and the participants with negative screening results in the screening group of the DLCST study p Value from a t test pertaining to the increase in the control group. Controlling for multiple testing by setting the false discovery rate to maximum 5% with the method of Benjamini–Hochberg, the significance level was taken to be p<0.0238 (indicated by*). p Value from a t test pertaining to the increase in the screen group. p Value from a t test pertaining to the difference in increase between the control and the screen groups. COS, Consequences Of Screening; DLCST, Danish Lung Cancer Screening Trial. As demonstrated in table 4, the participants in both the control and the screen groups had a mean increase in negative psychosocial consequences because there was a statistically significant difference between the prevalence and incidence rounds in the scales: ‘behaviour’, ‘dejection’, ‘sleep’, ‘busy to take mind off things’ and ‘less interest in sex’. The mean increase in psychosocial consequences was also compared between participants in the control and the screen groups and no statistically significant differences were revealed.

Discussion

This study demonstrated that participation in a randomised controlled trial on lung cancer screening had negative psychosocial consequences for the apparently healthy participants—both the participants in the screen and the control groups. This negative impact was greatest for the participants in the control group. The randomisation in the DLCST was successful since there was no statistically significant difference between the screen group and the control group in relation to socio-demographic characteristics and smoking habits. However, there was a statistically insignificant tendency in all scales and items in the COS, indicating that the participants in the control group experienced more negative psychosocial consequences than those in the screen group. This was surprising since no differences were seen in the socio-demographic characteristics and the smoking habits and because all the participants in the DLCST completed the COS before allocation to either the screen group or the control group. The scales and single items in the COS have previously been shown to be positively correlated in a confirmatory factor analysis.30 Due to this positive correlation, it would be expected that a high mean score in one of the COS scales would also result in high mean scores in the remaining COS scales. This could explain the non-significant tendency of higher negative psychosocial mean scores in the control group compared with the mean scores in the screen group. Another hypothetical cause of higher negative psychosocial mean scores in the control group could be that some of the participants had knowledge about their allocation before completing the COS. Therefore, we have scrutinised the COS responses from the prevalence round chronologically to see if any time periods were different from others. Thereby, we aimed to reveal a period of time in the prevalence round where participants' responses deviated, indicating a personnel bias. However, the COS responses in the two groups were found to be randomly distributed throughout the whole inclusion period. A third explanation could be the exclusion of the 179 screen-positive participants since this violates the intention-to-treat principle. These participants may have had symptoms of lung cancer already and thereby concerns about their health and higher COS responses, leaving the included screen-negative participants with artificially lower COS scores than the control participants. However, an additional analysis including the 179 screen-positive individuals (results not shown) gave results similar to those in table 2. One year later, at the incidence round, 222 had dropped out of the study, 54 from the screen group and 168 from the control group. Hence, the dropout rate was higher in the control group than in the screen group, which might be caused by disappointment at being allocated to the control group. Previous studies have registered disappointment of being randomised to the control group because participants joined the trial as they felt they needed the intervention offered to the intervention group.28 31 The explanation could also be that the participants in the screen group felt more obliged to participate in follow-up assessments, whereas participants in the control group felt less obliged to do so.32 In a mammographic study, it was found that those who dropped out were less able to cope with anxiety and had higher levels of fatalism.33 Another cohort study in urologic disease concluded that men who dropped out were more likely to have moderate/severe symptoms and lower socioeconomic status.34 If the participants who dropped out in the DLCST were accordingly different when compared with those who continued to attend the screening trial, this might have underestimated the differences in the negative psychosocial consequences between the control group and the screen group. A substantial participation bias was identified in a study where the 4104 participants in the DLCST were comparable with current and former smokers in the general population.35 Generally, the DLCST participants had a different socio-demographic make-up, higher socioeconomic status and reported fewer negative psychosocial aspects compared with the ordinary heavy smokers from the general population.35 This might also have biased the results in the present study. In addition, the participants who dropped out in the first incidence round might have been persons with more morbidity and lower socioeconomic status. Therefore, the negative psychosocial consequences of the randomisation to the control group might have been even greater in a representative group of former and current smokers. The present study established a statistically significant difference between the control group and the screen group regarding experiences of participating in the screening trial. The results of these analyses seemed to confirm our a priori hypothesis that healthy individuals who were participating in a lung cancer screening trial and who were randomised to the control group would gain feelings of worry and insecurity. The level of negative psychosocial consequences was higher in the control group compared with the screen group. However, responses collected before the prevalence round indicated a non-significant tendency that individuals in the control group experienced more negative psychosocial consequences, which might have influenced the statistically significant differences found in data collected before the incidence round. The longitudinal analyses revealed that both the control group and the screen group reported statistically significantly more negative psychosocial consequences when their responses before the prevalence round were compared with their responses 1 year later. This increasing negative psychosocial impact during 1 year of participation was not statistically significantly different when the two groups were compared. Nevertheless, the control group reported a higher increase in negative psychosocial scores during this year on all COS scales. This indicated that the participants in the control group experienced more negative psychosocial consequences in the first year of participation in the DLCST compared with those in the screen group. Negative psychosocial consequences were likewise reported from women not having the option to participate in an implemented breast cancer screening programme.9 Conversely, a CT scan with a negative result could have the benefit of reassuring the participants that they were healthy. In cervical cancer screening, women participated to acquire feelings of confidence and security and they returned to regular screening to confirm that they were healthy.36 However, the present study demonstrated that participants in the screen group who had a normal CT scan also experienced negative psychosocial aspects. It is worth noticing that the control group in this trial completed the COS and the COS-LC annually and performed spirometry after completing the COS and the COS-LC. This intervention could be the cause of the reported negative psychosocial consequences in the control group. The intervention might have made the participants anxious because their lung function might have dropped as a well-known complication of smoking. In contrast to the screen group, they did not obtain the knowledge of having a normal CT scan. However, the analyses of COS cannot distinguish the reasons for the reported negative psychosocial consequences. The COS and COS-LC are condition-specific multidimensional questionnaires where the content of the scales and the items were found highly relevant in focus group interviews with participants from the DLCST.24 It is well known that condition-specific questionnaires are more sensitive than generic questionnaires.37 Furthermore, generic questionnaires might lack content validity in a setting of cancer screening.38 In addition, generic questionnaires can have inadequate psychometric properties when they are used in other settings than they were developed for.39 This might explain why we have been able to identify that participation in lung cancer screening has negative psychosocial consequences in contrast to the Belgium–Dutch lung cancer screening trial that mostly have used generic Health Related Quality of Life questionnaires.40 41 At the first incidence round, statistically significant differences of 0.2–0.7 in the mean scores were identified between the participants in the control group and the participants with normal screening results in the screen group (see table 3). This corresponds to every fifth to every second participant in the control group responding ‘a bit’ to one item in each scale compared with the response ‘not at all’ among the same number of participants in the screen group having a normal result. The statistically significant mean increase in scores from the prevalence round to the first incidence round in both the control group and the screen group were from 0.4 to 1.2 (see table 4). This corresponds to a shift in responses from ‘not at all’ to ‘a bit’ in one item in each scale for every second participant to all participants. We regard these differences as relevant because none of the persons have experienced a trauma in relation to lung cancer screening programme, for example, diagnosis of lung cancer or a false-positive screening result. We also think that a negative impact illustrated by a change from ‘not at all’ to ‘a bit’ in one item in each psychosocial scale for 2000 to 4000 healthy screening participants may well have social significance.

Conclusions

Participation in a randomised controlled trial on lung cancer screening has negative psychosocial consequences for the apparently healthy participants—both the participants in the screen and the control groups. This negative impact was greatest for the participants in the control group.
  40 in total

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4.  A group cognitive behaviour therapy programme with metastatic breast cancer patients.

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5.  Consequences of Screening in Breast Cancer (COS-BC): development of a questionnaire.

Authors:  John Brodersen; Hanne Thorsen
Journal:  Scand J Prim Health Care       Date:  2008       Impact factor: 2.581

6.  Electronic support groups for breast carcinoma: a clinical trial of effectiveness.

Authors:  Morton A Lieberman; Mitch Golant; Janine Giese-Davis; Andy Winzlenberg; Harold Benjamin; Keith Humphreys; Carol Kronenwetter; Stefani Russo; David Spiegel
Journal:  Cancer       Date:  2003-02-15       Impact factor: 6.860

7.  Computed tomography screening and lung cancer outcomes.

Authors:  Peter B Bach; James R Jett; Ugo Pastorino; Melvyn S Tockman; Stephen J Swensen; Colin B Begg
Journal:  JAMA       Date:  2007-03-07       Impact factor: 56.272

8.  What are the psychological factors influencing attendance, non-attendance and re-attendance at a breast screening centre?

Authors:  L J Fallowfield; A Rodway; M Baum
Journal:  J R Soc Med       Date:  1990-09       Impact factor: 18.000

9.  Short-term health-related quality of life consequences in a lung cancer CT screening trial (NELSON).

Authors:  K A M van den Bergh; M L Essink-Bot; G J J M Borsboom; E Th Scholten; M Prokop; H J de Koning; R J van Klaveren
Journal:  Br J Cancer       Date:  2009-11-24       Impact factor: 7.640

Review 10.  Are benefits and harms in mammography screening given equal attention in scientific articles? A cross-sectional study.

Authors:  Karsten Juhl Jørgensen; Anders Klahn; Peter C Gøtzsche
Journal:  BMC Med       Date:  2007-05-30       Impact factor: 8.775

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  18 in total

1.  Scan-associated distress in lung cancer: Quantifying the impact of "scanxiety".

Authors:  Joshua M Bauml; Andrea Troxel; C Neill Epperson; Roger B Cohen; Kathryn Schmitz; Carrie Stricker; Lawrence N Shulman; Angela Bradbury; Jun J Mao; Corey J Langer
Journal:  Lung Cancer       Date:  2016-08-16       Impact factor: 5.705

Review 2.  Screening for early stage lung cancer and its correlation with lung nodule detection.

Authors:  Fangfei Qian; Wenjia Yang; Qunhui Chen; Xueyan Zhang; Baohui Han
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

Review 3.  Medical and Surgical Care of Patients With Mesothelioma and Their Relatives Carrying Germline BAP1 Mutations.

Authors:  Michele Carbone; Harvey I Pass; Guntulu Ak; H Richard Alexander; Paul Baas; Francine Baumann; Andrew M Blakely; Raphael Bueno; Aleksandra Bzura; Giuseppe Cardillo; Jane E Churpek; Irma Dianzani; Assunta De Rienzo; Mitsuru Emi; Salih Emri; Emanuela Felley-Bosco; Dean A Fennell; Raja M Flores; Federica Grosso; Nicholas K Hayward; Mary Hesdorffer; Chuong D Hoang; Peter A Johansson; Hedy L Kindler; Muaiad Kittaneh; Thomas Krausz; Aaron Mansfield; Muzaffer Metintas; Michael Minaai; Luciano Mutti; Maartje Nielsen; Kenneth O'Byrne; Isabelle Opitz; Sandra Pastorino; Francesca Pentimalli; Marc de Perrot; Antonia Pritchard; Robert Taylor Ripley; Bruce Robinson; Valerie Rusch; Emanuela Taioli; Yasutaka Takinishi; Mika Tanji; Anne S Tsao; A Murat Tuncer; Sebastian Walpole; Andrea Wolf; Haining Yang; Yoshie Yoshikawa; Alicia Zolondick; David S Schrump; Raffit Hassan
Journal:  J Thorac Oncol       Date:  2022-04-21       Impact factor: 20.121

Review 4.  Psychological Burden Associated With Lung Cancer Screening: A Systematic Review.

Authors:  Geena X Wu; Dan J Raz; Laura Brown; Virginia Sun
Journal:  Clin Lung Cancer       Date:  2016-03-30       Impact factor: 4.785

5.  Pilot study of a video intervention to reduce anxiety and promote preparedness for lung cancer screening.

Authors:  Dan J Raz; Rebecca A Nelson; Jae Y Kim; Virginia Sun
Journal:  Cancer Treat Res Commun       Date:  2018-04-23

Review 6.  Patient-centered outcomes among lung cancer screening recipients with computed tomography: a systematic review.

Authors:  Christopher G Slatore; Donald R Sullivan; Miranda Pappas; Linda L Humphrey
Journal:  J Thorac Oncol       Date:  2014-07       Impact factor: 20.121

7.  Long-term psychosocial outcomes of low-dose CT screening: results of the UK Lung Cancer Screening randomised controlled trial.

Authors:  Kate Brain; Kate J Lifford; Ben Carter; Olivia Burke; Fiona McRonald; Anand Devaraj; David M Hansell; David Baldwin; Stephen W Duffy; John K Field
Journal:  Thorax       Date:  2016-07-28       Impact factor: 9.139

8.  Immediate chest X-ray for patients at risk of lung cancer presenting in primary care: randomised controlled feasibility trial.

Authors:  Richard D Neal; Allan Barham; Emily Bongard; Rhiannon Tudor Edwards; Jim Fitzgibbon; Gareth Griffiths; Willie Hamilton; Kerenza Hood; Annmarie Nelson; David Parker; Cath Porter; Hayley Prout; Kirsty Roberts; Trevor Rogers; Emma Thomas-Jones; Angela Tod; Seow Tien Yeo; Chris N Hurt
Journal:  Br J Cancer       Date:  2017-01-10       Impact factor: 7.640

9.  The eye response test alone is sufficient to predict stroke outcome--reintroduction of Japan Coma Scale: a cohort study.

Authors:  Kazuo Shigematsu; Hiromi Nakano; Yoshiyuki Watanabe
Journal:  BMJ Open       Date:  2013-04-29       Impact factor: 2.692

Review 10.  Large variations in risk of hepatocellular carcinoma and mortality in treatment naïve hepatitis B patients: systematic review with meta-analyses.

Authors:  Maja Thiele; Lise Lotte Gluud; Annette Dam Fialla; Emilie Kirstine Dahl; Aleksander Krag
Journal:  PLoS One       Date:  2014-09-16       Impact factor: 3.240

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