Skip to main content
Download PDF

Nocebo effects of a simplified package leaflet compared to unstandardised oral information and a standard package leaflet: a pilot randomised controlled trial

Trials volume 20, Article number: 458 (2019) Cite this article

Abstract

Background

The term “nocebo effect” describes the phenomenon that the mere knowledge and anticipation of possible negative consequences of an intervention can increase the probability of experiencing these consequences. Our objective was to assess whether different information presentations on adverse events (AEs) in package information leaflets (PILs) could influence the nocebo effect.

Methods

We included patients undergoing orthopaedic surgery in this pilot randomised controlled trial (pRCT). Patients were assigned by random, computerised and centralised allocation to one of three groups: Simplified-PIL, No-PIL or Standard-PIL on ibuprofen. The Simplified-PIL was written in plain language, and AEs were reported with a focus on avoiding biased risk perception. Only the outcome assessment was blinded.

Results

We included 35, 33 and 34 patients in the Simplified-PIL, No-PIL and Standard-PIL groups, respectively. All patients were included in the intention-to-treat analysis. Six patients in the Simplified-PIL, four in the No-PIL and eight in the Standard-PIL group reported an AE. This corresponds to relative risks of 0.80 (95% confidence interval (CI) 0.27–1.90) for the Simplified-PIL and 0.50 (95% CI 0.14–1.46) for the No-PIL compared with the Standard-PIL group. The Simplified-PIL increased knowledge, reduced anxiety and improved adherence, although statistical uncertainty was high for all of these outcomes.

Conclusions

This pRCT provides the first hints on the way information on AEs is reported in PILs can affect the nocebo effect. This pRCT shows that a definitive RCT is feasible. If the results are confirmed in a definitive large RCT, a revision of the current practice for designing PILs should be considered.

Trial registration

ClinicalTrials.gov identifier: NCT03428035. Registered 2 February 2018.

Peer Review reports

Background

The term “nocebo effect” describes the phenomenon that the mere knowledge and anticipation of possible negative consequences of an intervention can increase the probability of experiencing these consequences [1]. Systematic reviews of randomised controlled trials (RCTs) have shown that adverse events (AEs) often occur in placebo groups and active treatment groups to a similar extent [2,3,4].

The nocebo effect can be induced in the context of either an inert treatment (e.g., placebo) or an active treatment (e.g., drug therapy). In the clinical context, the nocebo effect (undesired AEs) of active treatments is particularly important [5]. Studies suggest that the nocebo effect has a neural basis and operates in a psychosomatic way [6]. Recent research indicates that the nocebo effect can be influenced by the way information on side effects of a treatment is provided [7, 8]. Via cognitive processes like expectation or conditioning, negative information on side effects may act as a moderator on the occurrence of AEs [9].

The “additional” side effects can have a negative impact on patients’ quality of life and on the effectiveness of treatments [7]. Moreover, expecting or experiencing adverse reactions can lead to non-adherence and discontinuation of the therapy and to costs for additional treatment to reduce the symptoms [10]. The potential of unintentionally causing a nocebo effect by giving information can be an ethical and legal dilemma. On one hand, not informing patients of possible AEs could protect them from developing symptoms that could be avoided. On the other hand, it is not acceptable and often conflicts with legal requirements not to deprive patients of their right to information and involvement in their treatment.

The most common way to provide written information about medication and its AEs is by a package information leaflet (PIL) [11,12,13]. Currently, the standard PILs in Europe contain a broad spectrum of possible side effects that are presented in a way that might lead to an inaccurate and increased risk perception [14]. The resulting (stronger) anticipation of AEs may induce a nocebo effect, namely an actual rise of AEs experienced by patients [15].

The primary objective of this pilot randomised controlled trial (pRCT) was to assess whether the type and style of presentation of AE information in PILs could influence the nocebo effect (frequency of AEs). For this purpose, we compared a newly designed PIL that was designed with a focus on comprehensibility and neutral risk perception with unstandardised oral information and a European Union (EU) directive [16]-compliant standard PIL. A second aim was to analyse whether the different types of AE information have an impact on patient adherence.

Materials and methods

Study design

This study is a three-arm (1:1:1 allocation ratio) parallel randomised controlled pilot trial. The study is registered in ClinicalTrials.gov (NCT03428035) and the German Clinical Trials Register (DRKS00013923). The full study protocol (German only) and explanation for deviations from protocol can be found in Additional files 1 and 2. The ethics committee of the University of Witten/Herdecke approved the study. The study was performed in accordance with the Declaration of Helsinki and the International Council for Harmonisation standards for Good Clinical Practice [17, 18]. The results of the RCT are reported in accordance with the Consolidated Standards of Reporting Trials (CONSORT) extension for randomised pilot and feasibility trials [19].

Participants and setting

The study was performed at a tertiary hospital in Cologne, Germany, in the department of trauma surgery and orthopaedics (Cologne-Merheim Hospital, the teaching hospital of the University of Witten/Herdecke). We recruited patients between April and September 2018. Patients had to satisfy the following inclusion criteria:

  • at least 18 years old

  • scheduled for elective orthopaedic surgery

  • scheduled to receive only ibuprofen 600 mg for pain relief after discharge

  • able to understand German

  • cognitive ability to give consent and answer questions.

Because we assumed that these patients are conditioned by previous experiences with pain medication and therefore the change of expectations caused by the Simplified-PIL would be low, we excluded patients who took pain medication regularly for chronic pain. We also excluded patients who took medication that can cause AEs similar to those of ibuprofen and who had an illness that could cause symptoms similar to the AEs of ibuprofen (e.g., gastrointestinal or neurological diseases) because the sample size was low and thus randomisation would not have ensured balance of these variables, which had a high potential for confounding. In addition, we excluded patients who had multiple fractures or went to inpatient rehabilitation after surgery since it would not have been possible to interview these patients three days after surgery. We identified eligible patients at the pre-operation visit (outpatient surgery) or by screening the patient lists of hospital units (inpatients). All patients gave their written informed consent to take part in the study before inclusion.

Interventions

We randomly assigned patients to one of three groups:

  • Simplified-PIL

  • Standard-PIL

  • No-PIL.

Patients allocated to the “Simplified-PIL” group received a newly designed PIL for ibuprofen 600 mg. The design of the PIL was informed by knowledge from risk communication research, research on patient preferences about PILs and evidence-based health information guidelines (e.g., [20,21,22,23,24,25]). The main design criteria were comprehensibility and descriptions that avoided incorrect risk perception on AEs.

In order to find valid frequency data, we performed a focused literature search on Cochrane systematic reviews of RCTs of ibuprofen versus placebo (e.g., [26]). As there can be a difference in the type (e.g., gastrointestinal bleeding) of AEs and frequency of AEs depending on intake period, we extracted the number of AEs only from studies of ibuprofen use for post-surgical pain relief (i.e., short period).

We used plain language for all descriptions in the Simplified-PIL and avoided redundant and self-explaining information (e.g., consulting a physician in case of serious situations). For non-serious AEs, we reported frequencies only for those with sufficient underlying certainty of evidence. We reported AE frequencies per 100 patients. We report the difference in the number of AEs between patients receiving ibuprofen and patients receiving placebo because these AEs can be considered to be the share of AEs actually causally related to ibuprofen [27]. In contrast, the standard package leaflets provide the total frequency of AEs in patients who received ibuprofen and thus counts general complaints as AEs from ibuprofen (e.g., headaches and diarrhoea). We report how many people did not experience an AE (positive framing) in addition to how many people experience an AE [28]. For illustration, we used pictograms [29]. For non-serious AEs with uncertain evidence, we stated that the evidence for these AEs is insufficient.

We reported all known serious AEs irrespective of the certainty of the evidence. Serious AEs are typically rare and RCTs usually are not powered for valid estimations of their frequency. As expected, we could identify only very low-certainty evidence for frequency data on serious AEs. Because of this uncertainty, we reported serious AEs without providing numeric information on frequencies. Instead, we mentioned only their possible occurrence and expressed the uncertainty of the evidence.

In order to avoid biased information on the benefit-harm ratio, we included a short description on the effectiveness of ibuprofen for pain relief after surgery [25, 30].

The Simplified-PIL was pilot-tested and modified according to the feedback from six patients. A translated version of the Simplified-PIL can be found in Additional file 3.

Participants allocated to the “Standard-PIL” group received a copy of a standard EU directive–compliant PIL for ibuprofen 600 mg [16, 31]. The Standard-PIL includes information on the drug (e.g., ingredients), information necessary before taking the drug (e.g., interactions with other medicines and pregnancy) and information on dosage, possible adverse effects and additional information (e.g., storage). In the Standard-PIL, all possible AEs are listed and frequencies are described by using fixed terminology for certain frequency ranges (e.g., common: at least 1/10 to 1/100). There is no standardisation on format, structure, layout or comprehensibility. The Standard-PIL used can be found in Additional file 4.

Table 1 contains examples for the frequency information on AEs as provided in the Simplified-PIL and the Standard-PIL. The PILs were provided before surgery and the patients were asked to carefully read them. The No-PIL group received unstandardised oral information about their medication as routinely provided in the hospital. This usually includes information on intake but little or no information on AEs.

Table 1 Depiction of adverse events in both package information leaflets
Full size table

Outcomes

Our primary outcome was the nocebo effect. For the quantification of the nocebo effect, we assessed the number of reported AEs. Given that AEs are caused only by pharmacological mechanisms of the medication, there should be no difference between groups that receive different information on AEs.

As secondary outcomes, we analysed self-reported adherence to intake duration and intake frequency as agreed with the treating physician (fully adherent participants versus other). Moreover, we measured the following outcomes in the PIL groups:

  • subjective increase of knowledge about effectiveness (question: Do you think the PIL increased your knowledge on the effectiveness of ibuprofen? [yes versus no])

  • subjective increase of knowledge about AEs (question: Do you think the PIL increased your knowledge on AEs of ibuprofen? [yes versus no])

  • comprehensibility (numeric rating scale [NRS] score of 0–10)

  • anxiety regarding AEs provoked by the descriptions in the PIL (NRS score of 0–10).

Data collection and blinding

We developed questionnaires for standardised data collection. Before surgery, all patients completed a baseline questionnaire. Participants were called 2–3 days after discharge and were interviewed to collect all outcome data. We standardised the interviews by use of a questionnaire and an interviewer guide. The baseline and outcome questionnaires were piloted for comprehensibility with six patients. We asked specifically for AEs known to be caused by ibuprofen (e.g., gastrointestinal or neurological symptoms) to avoid having patients attribute unspecific symptoms (e.g., itch) to the medication.

We called patients up to three times to collect data. When this was unsuccessful, we mailed them an adapted paper version of the questionnaire with the request to send it back within two weeks. If the questionnaire was not sent back in time, participants received a text message on their cell phone with a polite reminder. Patients who did not answer after this last attempt were considered lost to follow-up. All collected data were entered into a standardised case report form (CRF).

Owing to the nature of the intervention, it was not possible to blind participants and personnel that handed out the PILs. However, although the participants were informed that they participated in an intervention study on health information, they were not aware of the exact purpose of the study. The questionnaires used for assessing outcomes in participants who were allocated to one of the PIL groups included more questions (design of the PIL, knowledge of AEs, and anxiety while reading the PIL) than the questionnaire used in patients who received no PIL. Therefore, the study personnel who assessed outcomes knew whether the participants received a PIL but were blinded to the type of PIL.

Statistical analysis and randomisation

Sample size calculation

No similar studies exist so far. Therefore, we planned this study as a pilot study and did not perform a formal sample size calculation. We planned to include at least 20 patients per group to ensure a reliable basis for sample size calculation and we estimated this to be sufficient to identify possible problems with the design or conduct of the study with high confidence [32].

Randomisation and allocation concealment

We allocated participants to the study groups by using minimisation with a random component (biased coin randomisation) [33]. The factors used for minimisation were age (18–34, 35–65 and >65), gender, outpatient versus inpatient treatment as proxy for type of pain medication regime (only ibuprofen versus ibuprofen plus opioids before discharge), and professional education (university degree versus other). The allocation was performed centrally, shortly before the intervention, to guarantee allocation concealment.

Statistical analysis primary outcome

We analysed the influence of the type of information on AEs by using a logistic regression adjusted for the minimisation variables, namely age (<50 versus >50), gender, professional education, and type of pain medication (only ibuprofen versus ibuprofen plus other) and, in addition, for marital status and employment status (employed versus unemployed). We converted odds ratios into relative risk to facilitate interpretation [34].

We performed all analyses of the AEs on an intention-to-treat basis. In the primary analysis, we assumed that all participants with missing data had no AEs (conservative analysis). In addition, we performed a sensitivity analysis by using multiple imputation (Markov chain Monte Carlo; five imputation data sets).

To account for multiplicity, we ordered our hypotheses a priori [35]. This means we first tested the overall null hypothesis that there is no difference between at least one of the three groups (H0: Simplified-PIL = No-PIL = Standard-PIL; alpha level: 5%). Pairwise confirmatory group comparisons would have been performed only in the case that the overall null hypothesis is rejected.

We conducted a sensitivity analysis by using the same methods described above only for those participants who were allocated to one of the PIL groups and who stated that they have read the PIL. For all group comparisons, we calculated relative risks (RRs) or means with 95% confidence intervals (CIs).

Statistical analysis secondary outcomes

We calculated RRs with 95% CIs to analyse adherence. We included only patients in the adherence analysis who were instructed on how to take ibuprofen (duration and intake frequency) and excluded patients who took medication only as needed. In the outcomes used to assess the PILs, we included only patients who read one of the PILs. We performed all analyses on the secondary outcomes according to the randomised allocation but only on patients who had responses in the CRF for the respective outcome; that is, we did not impute missing data.

Results

Recruitment

The numbers of participants screened, enrolled and allocated between April and September 2018 are shown in the CONSORT flowchart (Fig. 1). Recruitment was stopped after this pre-specified recruitment period. We randomly assigned 102 patients to one of the three study groups. In total, five participants did not respond to any follow-up attempts and thus were considered lost to follow-up. Complete AE data were available for 95% of patients; 24 and 28 patients read the PIL in the Simplified-PIL and Standard-PIL groups, respectively.

Fig. 1
figure 1

Patient flow diagram. Abbreviations: AE adverse event, ITT intention to treat, OP operation, PIL package information leaflet

Full size image

Baseline characteristics

The baseline characteristics of the included patients are presented in Table 2. All baseline characteristics except for marital status were well balanced.

Table 2 Baseline characteristics
Full size table

Primary outcome

The difference in the overall comparison of the three groups for the total number of AEs was not statistically significant (P = 0.47). Therefore, we did not perform pairwise comparisons.

Table 3 shows the absolute and relative risks with 95% CIs of the Simplified-PIL and No-PIL groups compared with the Standard-PIL group for AEs. In the Simplified-PIL group, six (17.1%) patients had an AE. The number of patients with an AE was even smaller in the No-PIL group (n = 4, 12.1%) and highest in the Standard-PIL group (n = 8, 23.5%). The adjusted RRs were 0.801 (95% CI 0.268–1.894) in the Simplified-PIL group and 0.497 (95% CI 0.138–1.456) in the No-PIL group compared with the Standard-PIL group. Results of the intention-to-treat analysis, sensitivity analysis and unadjusted analysis were similar (Table 3). The relative reduction in AEs was larger in the population who read the PIL (RR 0.461, 95% CI 0.101–1.587).

Table 3 Results for ibuprofen-specific adverse events (nocebo effect)
Full size table

Secondary outcomes

The adherence results are shown in Table 4. In the analysis on adherence, only 28 patients could be included because most of the patients took their pain medication only as needed. Adherence was slightly higher in the Simplified-PIL group (RR 1.472, 95% CI 0.435–2.183) and similar (RR 0.963, 95% CI 0.203–1.973) in the No-PIL group compared with the standard-PIL group. The duration of intake was almost identical in all groups (Table 5).

Table 4 Results for intake adherence
Full size table
Table 5 Results for duration of medication intake
Full size table

The results for patient knowledge are shown in Table 6. A few more patients in the Simplified-PIL group (69.6%) than in the Standard-PIL group (57.1%) reported a knowledge increase about effectiveness of ibuprofen after reading. For knowledge on AEs, results were similar for the two PILs (73.9% versus 75.0%). The Simplified-PIL (mean 8.75, 95% CI 8.15–9.36) was considered a little bit more comprehensible and caused less anxiety from AEs (mean 0.875, 95% CI 0.290–1.460) than the Standard-PIL (mean comprehensibility 7.286, 95% CI 6.440–8.130; mean anxiety 2.815, 95% CI 1.940–3.690) as shown in Table 7.

Table 6 Results for increase in knowledge about effectiveness and adverse events
Full size table
Table 7 Results for comprehensibility of the package information leaflet and anxiety of adverse events
Full size table

Discussion

We observed fewer AEs in the Simplified-PIL group compared with the Standard-PIL group. Furthermore, AEs occurred less frequently in the No-PIL than the Simplified-PIL group.

If confirmed in a definitive trial, our data would suggest that not telling patients about potential AEs would be the best option for avoiding the nocebo effect. However, fully omitting information on AEs raises fundamental ethical concerns and may result in legal conflicts (e.g., medication packages without PILs). Moreover, it may interfere with shared decision-making. Focusing on evidence-based information and providing it in a plain and “risk neutral” way seem to be an ethically acceptable compromise and—if our results are confirmed—may reduce the nocebo effect compared with the standard PIL in compliance with EU directives.

Our findings are in accordance with several previous studies on different indications and treatments which suggested that anticipation of negative treatment consequences can lead to AEs [7, 8, 36,37,38,39,40]. However, most previous studies were rather artificial regarding the intervention and setting (e.g., negative versus positive suggestions during an investigator-induced pain stimuli in a laboratory) and thus their applicability to treatment with an active intervention under routine care is questionable. Therefore, we tried to expand this experimental knowledge by comparing a revised simplified PIL with a standard PIL and no written information for AEs on a drug as the PIL represents the most widespread written information on AEs. We found first indications that the nocebo effect might be influenced by the way the information is provided in the PIL and consequently may be a serious problem in routine medical care.

Descriptive data suggest that the Simplified-PIL but not oral information only leads to higher adherence than the Standard-PIL, which is consistent with the observation that the anxiety of suffering AEs was highest in the Standard-PIL group. The finding that expectations of possible negative treatment outcomes lead to non-adherent behaviour is also in accordance with previous studies on this topic [41]. We found a small increase in subjective knowledge about effectiveness in the Simplified-PIL group and, although we provided much less detail on AEs in this group, similar judgements on knowledge on AEs compared with the Standard-PIL group. As the Simplified-PIL received higher comprehensibility ratings, we assume that the reason for these effects on patient knowledge is probably better comprehensibility. This supports our presumption that the design criteria (e.g., less information, bigger font size, and visual presentation of frequencies) used for our PIL are more appropriate to present data in an informative and neutral way than is normally done in EU-standard PILs. Irrespective of the nocebo effect, providing understandable information about possible risks and decreasing the amount of anxiety in patients can be valuable goals in themselves. When all outcomes are considered together, the entire pattern of causes and effects seems consistent with intuitive expectations: an increased comprehensibility and reduction of negative expectations (anxiety) on AEs lead to higher adherence and a reduction of the nocebo effect.

Generalisability

Our data are limited to one pilot trial in one type of patient (orthopaedic surgery), one setting (secondary care) and one medication (ibuprofen), which limits the generalisability of the results. However, we included a broad participant collective of surgical patients, which is probably quite representative of the general surgical hospital population, and apart from our additional information, we did not change routine care in any way. Moreover, we believe that the nocebo effect likely applies to other conditions though possibly to a different degree.

Feasibility of a definitive trial and necessary modifications

The Simplified-PIL and even more so the No-PIL showed reductions in AEs, as we anticipated. Also, all other effects showed directions as expected. These observations indicate that a definitive RCT would be worthwhile. Some patients mentioned that the Simplified-PIL lacks information on specific groups (e.g., pregnant women). In the definitive RCT, we will modify the Simplified-PIL by inserting a link or QR code to a website where information on specific groups and other additional information (e.g., description of substance) will be available.

Limitations

The main limitation of our pRCT is the small sample size. As has to be expected in a pilot trial, the 95% CIs of the effect estimates were wide, indicating uncertainty. However, we believe that the data on the impact of the Simplified-PIL from this pilot trial are sufficient to inform the sample size calculation of a definitive trial [42]. Another limitation resulting from the small sample size is that not all possible confounding variables (e.g., marital status) were well balanced between the groups. This may be also true for factors that are difficult to measure, such as personality traits or additional medication [43]. Therefore, there is a risk of confounding bias. In addition, the inability to blind the intervention is a possible source of bias.

Conclusions

The primary results of our pRCT and other studies suggest that the way that information about AEs is provided in PILs should carefully consider the risk of possible unintended nocebo responses. A well-powered RCT is needed to confirm the results. This pilot trial shows that a larger definitive trial, which allows firm conclusions, is feasible. If the results are confirmed, a revision of the current practice for designing PILs or even providing no information on request of the patient (informed non-information) might be considered as alternative ways of informing patients about AEs.

Availability of data and materials

Further data are available by TM on request.

Abbreviations

AE:

Adverse event

CI:

Confidence interval

CONSORT:

Consolidated Standards of Reporting Trials

CRF:

Case report form

NRS:

Numeric rating scale

PIL:

Package information leaflet

pRCT:

Pilot randomised controlled trial

RCT:

Randomised controlled trial

RR:

Relative risk

References

  1. Häuser W, Hansen E, Enck P. Nocebo phenomena in medicine: their relevance in everyday clinical practice. Dtsch Arztebl Int. 2012;109:459.

    PubMed  PubMed Central  Google Scholar 

  2. Petersen GL, Finnerup NB, Colloca L, Amanzio M, Price DD, Jensen TS, et al. The magnitude of nocebo effects in pain: a meta-analysis. Pain. 2014;155:1426–34.

    Article  Google Scholar 

  3. Rojas-Mirquez JC, Rodriguez-Zuniga MJ, Bonilla-Escobar FJ, Garcia-Perdomo HA, Petkov M, Becerra L, et al. Nocebo effect in randomized clinical trials of antidepressants in children and adolescents: systematic review and meta-analysis. Front Behav Neurosci. 2014;8:375.

    Article  Google Scholar 

  4. Silva MA, Duarte GS, Camara R, Rodrigues FB, Fernandes RM, Abreu D, et al. Placebo and nocebo responses in restless legs syndrome: a systematic review and meta-analysis. Neurology. 2017;88:2216–24.

    Article  Google Scholar 

  5. McAteer A, Elliott AM, Hannaford PC. Ascertaining the size of the symptom iceberg in a UK-wide community-based survey. Br J Gen Pract. 2011;61:e1–11.

    Article  Google Scholar 

  6. Colloca L. Nocebo effects can make you feel pain. Science. 2017;358:44.

    Article  CAS  Google Scholar 

  7. Neukirch N, Colagiuri B. The placebo effect, sleep difficulty, and side effects: a balanced placebo model. J Behav Med. 2015;38:273–83.

    Article  Google Scholar 

  8. Mondaini N, Gontero P, Giubilei G, Lombardi G, Cai T, Gavazzi A, et al. Finasteride 5 mg and sexual side effects: how many of these are related to a nocebo phenomenon. J Sex Med. 2007;4:1708–12.

    Article  Google Scholar 

  9. Bartels DJ, van Laarhoven AI, Heijmans N, Hermans D, Debeer E, van de Kerkhof PC, et al. Cognitive schemas in placebo and nocebo responding: role of autobiographical memories and expectations. Clin Ther. 2017;39:502–12. e1.

    Article  Google Scholar 

  10. Bingel U. Avoiding nocebo effects to optimize treatment outcome. JAMA. 2014;312:693–4.

    Article  CAS  Google Scholar 

  11. Nink K, Schröder H. Zu risiken und nebenwirkungen: Lesen sie die packungsbeilage? 2005.

    Google Scholar 

  12. McGurk R, Fallowfield L, Winters Z. Information provision for patients by breast cancer teams about the side-effects of hormone treatments. Eur J Cancer. 2006;42:1760–7.

    Article  CAS  Google Scholar 

  13. Schmitz J, Kamping S, Wiegratz J, Muller M, Stork J, Colloca L, et al. Impact of patient information leaflets on pain medication intake behavior: a pilot study. Pain Rep. 2017;2:e620.

    Article  Google Scholar 

  14. Herber O, Gies V, Schwappach D, Thurmann P, Wilm S. Patient information leaflets: informing or frightening? A focus group study exploring patients’ emotional reactions and subsequent behavior towards package leaflets of commonly prescribed medications in family practices. BMC Fam Pract. 2014;15:163.

    Article  Google Scholar 

  15. Vase L, Robinson ME, Verne GN, Price DD. The contributions of suggestion, desire, and expectation to placebo effects in irritable bowel syndrome patients. An empirical investigation. Pain. 2003;105:17–25.

    Article  Google Scholar 

  16. The European Parliament And The Coucil Of The European Union. Directive 2004/27/EC of the European parliament and of the council of 31 March 2004 amending Directive 2001/83/EC on the Community code relating to medicinal products for human use. 2014.

  17. General Assembly of the World Medical Association. "World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects". Retrieved 2019/04/12, 81. 2018. From https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/.

  18. Good Clinical Practice Network. "Leitlinien Zur Guten Klinischen Praxis". Retrieved 06/11/2018. From https://ichgcp.net/de/.

  19. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. BMJ. 2016;355:i5239.

    Article  Google Scholar 

  20. Lühnen, J, Albrecht, M, Mühlhauser, I, Steckelberg, A (2017). "Leitlinie evidenzbasierte Gesundheitsinformation". Retrieved 18/12/2018. From https://www.leitlinie-gesundheitsinformation.de/.

  21. Büchter RB, Fechtelpeter D, Knelangen M, Ehrlich M, Waltering A. Words or numbers? Communicating risk of adverse effects in written consumer health information: a systematic review and meta-analysis. BMC Med Inform Decis Making. 2014;14:76.

    Article  Google Scholar 

  22. Trevena L, Davey H, Barratt A, Butow P, Caldwell P. A systematic review on communicating with patients about evidence. J Eval Clin Pract. 2006;12:13.

    Article  Google Scholar 

  23. Schwappach D, Mülders V, Simic D, Wilm S, Thürmann P. Is less more? Patients’ preferences for drug information leaflets. Pharmacoepidemiol Drug Saf. 2011;20:987.

    PubMed  Google Scholar 

  24. Tan K, Petrie K, Faasse K, Bolland M, Grey A. Unhelpful information about adverse drug reactions. BMJ. 2014;349:g5019.

    Article  Google Scholar 

  25. Blalock S, Sage A, Bitonti M, Patel P, Dickinson R, Knapp P. Communicating information concerning potential medication harms and benefits: what gist do numbers convey? Patient Educ Couns. 2016;99:1964.

    Article  Google Scholar 

  26. Derry C, Derry S, Moore RA, HJ MQ. Single dose oral ibuprofen for acute postoperative pain in adults. Cochrane Database Syst Rev. 2009;3:CD001548.

    Google Scholar 

  27. Bavbek S, Aydin O, Sozener ZC, Yuksel S. Determinants of nocebo effect during oral drug provocation tests. Allergol Immunopathol (Madr). 2015;43:339–45.

    Article  CAS  Google Scholar 

  28. O’Connor AM, Pennie RA, Dales RE. Framing effects on expectations, decisions, and side effects experienced: the case of influenza immunization. J Clin Epidemiol. 1996;49:1271–6.

    Article  Google Scholar 

  29. Ancker JS, Senathirajah Y, Kukafka R, Starren JB. Design features of graphs in health risk communication: a systematic review. J Am Med Inform Assoc. 2006;13:608–18.

    Article  Google Scholar 

  30. Grandt D, Lappe V, Schubert I. Arzneimittelreport 2018. Schriftenreihe zur Gesundheitsanalyse, BARMER. 10. 2018.

  31. STADApharm GmbH (2014). Gebrauchsinformation: Information für den Anwender. Ibuprofen STADA® 600 mg Filmtabletten

  32. Viechtbauer W, Smits L, Kotz D, Budé L, Spigt M, Serroyen J, et al. A simple formula for the calculation of sample size in pilot studies. J Clin Epidemiol. 2015;68:1375–9.

    Article  Google Scholar 

  33. Smith MD. Biased coin randomization. Methods and Applications of Statistics in clinical trials. N. Balakrishnan: 2014. P. 90–105.

  34. Grant RL. Converting an odds ratio to a range of plausible relative risks for better communication of research findings. BMJ. 2014;348:f7450.

    Article  Google Scholar 

  35. Edwards D, Madsen J. Constructing multiple test procedures for partially ordered hypothesis sets. Stat Med. 2007;26:5116–24.

    Article  Google Scholar 

  36. Aslaksen PM, Zwarg ML, Eilertsen HI, Gorecka MM, Bjorkedal E. Opposite effects of the same drug: reversal of topical analgesia by nocebo information. Pain. 2015;156:39–46.

    Article  Google Scholar 

  37. van Laarhoven AI, Vogelaar ML, Wilder-Smith OH, van Riel PL, van de Kerkhof PC, Kraaimaat FW, et al. Induction of nocebo and placebo effects on itch and pain by verbal suggestions. Pain. 2011;152:1486–94.

    Article  Google Scholar 

  38. Colagiuri B, McGuinness K, Boakes RA, Butow PN. Warning about side effects can increase their occurrence: an experimental model using placebo treatment for sleep difficulty. J Psychopharmacol. 2012;26:1540–7.

    Article  Google Scholar 

  39. Faasse K, Huynh A, Pearson S, Geers AL, Helfer SG, Colagiuri B. The influence of side effect information framing on nocebo effects. Ann Behav Med. 2018;53:621–9.

    Article  Google Scholar 

  40. Wise RA, Bartlett SJ, Brown ED, Castro M, Cohen R, Holbrook JT, et al. Randomized trial of the effect of drug presentation on asthma outcomes: the American Lung Association Asthma Clinical Research Centers. J Allergy Clin Immunol. 2009;124:436–44 44e1–8.

    Article  Google Scholar 

  41. Dodd S, Schacht A, Kelin K, Duenas H, Reed VA, Williams LJ, et al. Nocebo effects in the treatment of major depression: results from an individual study participant-level meta-analysis of the placebo arm of duloxetine clinical trials. J Clin Psychiatry. 2015;76:702–11.

    Article  Google Scholar 

  42. Medical Research Council. A framework for development and evaluation of RCTs for complex interventions to improve health. London: Med Res Counc; 2000.

  43. Geers AL, Kosbab K, Helfer SG, Weiland PE, Wellman JA. Further evidence for individual differences in placebo responding: an interactionist perspective. J Psychosom Res. 2007;62:563–70.

    Article  Google Scholar 

Download references

Acknowledgements

None

Funding

The German Research Foundation (DFG) funded this work (grant reference: MA 6775/3).

Author information

Authors and Affiliations

  1. Institute for Research in Operative Medicine, Witten/Herdecke University, Ostmerheimer Str. 200, 51109, Cologne, Germany

    Barbara Prediger, Esther Meyer, Roland Büchter & Tim Mathes

Authors
  1. Barbara Prediger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Esther Meyer
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Roland Büchter
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Tim Mathes
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

TM developed the first draft of the study. BP, EM and RB made substantial contributions to the conception and design of the study. BP and ME conducted the study. TM performed the statistical analysis. All authors discussed and interpreted the results. EM and TM wrote the first draft of the manuscript. All authors revised the manuscript critically for important intellectual content and approved the final version submitted.

Corresponding author

Correspondence to Tim Mathes.

Ethics declarations

Ethics approval and consent to participate

All patients provided written informed consent. The ethics committee of the University of Witten/Herdecke approved the study.

Consent for publication

Not applicable. The manuscript contains no individual person’s data.

Competing interests

The authors declare that they have no financial or scientific competing interests. The funding body has no role in the design of the study or collection, analysis and interpretation of data or in writing the manuscript.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Study protocol. (PDF 1752 kb)

Additional file 2:

Changes to the protocol. (DOCX 12 kb)

Additional file 3:

 Simplified-PIL. (DOCX 48 kb)

Additional file 4:

Standard-PIL. (PDF 253 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Prediger, B., Meyer, E., Büchter, R. et al. Nocebo effects of a simplified package leaflet compared to unstandardised oral information and a standard package leaflet: a pilot randomised controlled trial. Trials 20, 458 (2019). https://doi.org/10.1186/s13063-019-3565-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13063-019-3565-3

Keywords

  • Randomised controlled trial
  • Nocebo effect
  • Patient information leaflets

Trials

ISSN: 1745-6215