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Study protocol: Brief intervention for medication overuse headache - A double-blinded cluster randomised parallel controlled trial in primary care

Abstract

Background

Chronic headache (headache ≥ 15 days/month for at least 3 months) affects 2–5% of the general population. Medication overuse contributes to the problem. Medication-overuse headache (MOH) can be identified by using the Severity of Dependence Scale (SDS). A “brief intervention” scheme (BI) has previously been used for detoxification from drug and alcohol overuse in other settings. Short, unstructured, individualised simple information may also be enough to detoxify a large portion of those with MOH. We have adapted the structured (BI) scheme to be used for MOH in primary care.

Methods/Design

A double-blinded cluster randomised parallel controlled trial (RCT) of BI vs. business as usual. Intervention will be performed in primary care by GPs trained in BI. Patients with MOH will be identified through a simple screening questionnaire sent to patients on the GPs lists. The BI method involves an approach for identifying patients with high likelihood of MOH using simple questions about headache frequency and the SDS score. Feedback is given to the individual patient on his/her score and consequences this might have regarding the individual risk of medication overuse contributing to their headache. Finally, advice is given regarding measures to be taken, how the patient should proceed and the possible gains for the patient. The participating patients complete a headache diary and receive a clinical interview and neurological examination by a GP experienced in headache diagnostics three months after the intervention. Primary outcomes are number of headache days and number of medication days per month at 3 months. Secondary outcomes include proportions with 25 and 50% improvement at 3 months and maintenance of improvement and quality of life after 12 months.

Discussion

There is a need for evidence-based and cost-effective strategies for treatment of MOH but so far no consensus has been reached regarding an optimal medication withdrawal method. To our knowledge this is the first RCT of structured non-pharmacological MOH treatment in primary care. Results may hold the potential of offering an instrument for treating MOH patients in the general population by GPs.

Trial registration

ClinicalTrials.gov identifier: NCT01314768

Peer Review reports

Background

Headache is a common health problem and the personal burden, social impact and economic cost for both the sufferers and society are substantial [1, 2]. Most common headaches are episodic tension-type headache (TTH) and migraine [3]. However, 2–5% of the world’s population have chronic headache [413] defined as 15 or more headache days per month for at least 3 months and/or 180 or more headache days per year.

Headache is mostly self-managed [14, 15] and headache prescription medications account only partly for the total medication use for headache since most patients buy over-the-counter (OTC) drugs [5, 6, 1619]. Headache accounts for 4% of the general practitioners (GPs) consultations [19], and is probably the most common reason for referral to neurologists [19, 20]. Approximately 20–30% of all new referrals to out-patients neurological departments are due to headache [21, 22].

Analgesic use, misuse and overuse represent major health problems associated with numerous adverse health consequences. A population-based study from Norway which included about 50,000 subjects found that 10% reported taking analgesics currently on a daily basis and up to 5% reported taking analgesics on a daily basis for at least six months [23]. Results from another Norwegian study showed that 28% of men and 13% of women had used analgesics over the preceding 28-day period, mostly to treat headaches [24]. Frequent intake of analgesics may, however, worsen headache and lead to chronification and Medication Overuse Headache (MOH) [2527]. MOH is a condition with chronic headache in combination with overuse of acute headache medication(s) [2527]. The prevalence of MOH in the general population is 1–2% [5, 6, 10, 2528]. The condition was first described for egotamines in 1951 [29] and it is now substantiated that all drugs used for the acute treatment of headache can cause MOH in patients with a pre-existant headache disorder [2527]. The proportion of MOH is lower in the general population than one sees in clinical settings, and the distribution of the overused medication differs with simple analgesics being most frequently overused in the general population [7, 9, 17, 28, 3035].

The aims of MOH management are [36, 37]

  1. i.

    withdrawal of the overused drug(s)

  2. ii.

    to provide the patient with pharmacological and non-pharmacological support

  3. iii.

    to prevent relapse

Detoxification from the overused medication often leads to headache improvement [25, 26, 31, 38], but is often complicated by temporary withdrawal symptoms such as worsening of headache, nausea, vomiting, hypotension, tachycardia, sleep disturbances, restlessness, anxiety and nervousness which typically occur 2–10 days after detoxification [26, 27, 40, 41]. There is no established optimal withdrawal method for MOH though many different strategies have been suggested [25, 36, 37, 39]. These include use of antiemetics and/or neuroleptics to reduce abstinence-like symptoms, intravenous administration of ergotamines and substitution of the offending painkiller with another. Steroid treatment has also been used to alleviate withdrawal reactions though this strategy is controversal [36, 37, 4143].

Regarding prophylactic headache medication, there is also an ongoing discussion whether this should be initiated immediately at withdrawal or after completed withdrawal therapy [36, 44].

Follow-up studies of various duration have reported relapse rates between 20–60% and findings from these studies suggest that patients have the highest risk of relapse within the first year after withdrawal [37, 4549].

MOH is a heterogenous disorder which has been suggested to include both subgroups with simple medication overuse as well as more complex detoxification-resistant cases [36, 5052]. Some of these cases may be more “dependency-like” and it has indeed been suggested that MOH shares some common neurobiological pathways with drug dependence and that MOH therefore may represents a kind of addictive behaviour [53]. Whether this applies to all MOH cases or specific subgroups defined by this particular “dependency-like” behaviour (eg. “complex” MOH) remains to be demonstrated. Two studies have demonstrated that most MOH patients fulfill criteria for dependency according to the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) [5456]. Another study found that the dependency score based on the Leeds Dependency Questionnaire was similarly increased in MOH patients and illegal drug addicts [57].

Over the past decades several dependency assessment scales have been developed. The Severity of Dependence Scale (SDS) is a simple, validated scale which scores psychological dependence on a number of different substances [5863]. Previous studies from our group have revealed that the SDS has both high sensitivity, specificity, positive and negative predictive values for detecting persons with MOH among chronic headache patients. [30, 35, 64]. In addition, the SDS score has been shown to predict likelihood of successful detoxification in a general population [65].

Screening and Brief Intervention (BI) is a well-known approach to identify and treat unhealthy alcohol use [66]. The SDS and similar scales such as the Alcohol Use Disorders Identification test, have previously been used to identify individuals at risk for addiction-related problems [5863, 6769]. BI involves the use of such an identification tool followed by feedback to the identified individual as being “at risk”. The final step, in this very short and simple intervention is to give information suggesting to cut down the use of the particular substance to predecided “acceptable” levels [66]. BI includes clear directive advice, but focus is also on increasing patients insight and awareness regarding overuse as described in more detail elsewhere [66, 70]. The BI method has shown promising results with both short- and longlasting reduction of alcohol intake and levels of related biochemical markers such as liver transferase levels [66, 7173]. Similar methods have also been successfully applied for various other addictive drugs [70, 74, 75].

We have previously reported data from an open, un-controlled study of medication overuse headache in the general population, which suggested that three out of four MOH subjects had managed to reduce their medication intake after short information [76]. Similar simple advice also works in clinic settings [77, 78]. One population- and one clinic-based study suggest that MOH can be successfully managed in a primary care setting after an initial collaboration with headache specialists [45, 79].

The common headache disorders require no high-tech investigations and may therefore be diagnosed and managed by all skilled physicians. Most headaches are therefore probably best managed in primary care. Focus on MOH in primary care is therefore important both in order to prevent MOH from developing and for early diagnosis and treatment.

We have designed a BI for treatment of MOH in primary care and planned a double-blinded cluster randomized parallel controlled trial (RCT) to evaluate effects of the intervention.

Objectives

The primary objective is to evaluate the effects of a brief intervention (BI) versus business as usual (BAU) in the management of MOH in primary care.

Methods/Design

Our hypothesis is that BI is more effective than BAU. The hypothesis will be tested using a double-blinded cluster randomised parallel controlled clinical trial in primary care comparing BI and BAU three months after study inclusion and with additional open one year follow-up (Figure 1).

Figure 1
figure 1

Flow-chart of study . Figure illustrates main time line with the different phases with those mainly responsible for each phase (lower part). Upper part shows time-points for Patients data collection (2 week headache diaries (2w.diary) and interviews) as well as timing of various moments for the Investigator group and GPs with Brief Intervention training courses (BIC) for GPs and intervention (Brief intervention - BI and Business as usual – BAU respectively). Main outcome time-point at 3 months depicted with double arrow and bold writing. BI, Brief intervention; BIC, Brief Intervention course early or late; BAU, Business as usual; GP, General practitioner; Rand, randomisation.

Setting

The Norwegian GP list-patient system was established in 2001. The GPs are reimbursed through a fixed annual fee and fees for the specific services from the National Health Insurance and the patients. GPs act as gate keepers for referrals to secondary care specialists and hospitals except in emergencies. GP specialists must renew their specialty every fifth year. As a part of this process, clinical training courses and participation in peer continuous medical education (CME) group meetings are compulsory. GPs in the same practice often attend the same peer CME group, each group typically comprised of four to ten GPs from different practices. The study will be undertaken among GPs attending CME groups in south-eastern Norway.

Recruitment, randomization and blinding

GPs

Recruitment of the GPs will be done by inviting a number of GPs’ peer CME groups to a Brief Intervention Course (BIC). Randomisation of GPs (and thereby their patients) to either BI or BAU will be performed by an external statistician. Each GP and his/her patients defines one cluster. For practical reasons and to avoid carry-over effects, the CME groups will be the randomisation unit.

GPs in half of the CME groups will receive the BIC and apply BI on their own patients, while the others will run their clinical practice as usual (BAU).

Patients

A short validated screening questionnaire for headache [80, 81] including questions about headache frequency, intensity (as recorded on a visual analogue scale (VAS) [82]), presence of migraine and medication use will be mailed to all 18–50 year old patients on participating GPs’ patient lists. Names and addresses will be extracted from GP lists using a specially designed software (Mediata Ltd, Tønsberg, Norway). One written reminder will be sent to non-responding patients.

All patients with 15 or more days with self-reported headache per month and headache medication utilization on 10 days or more per month will be invited to participate.

Patients unable to participate in an interview in Norwegian will be excluded.

Baseline patient information (screening questionnaire and headache diary) will be collected by the Akershus University hospital research administration unit before any study-related contact between patient and their GP.

To avoid unblinding and carry-over of information from the BI to BAU, both GPs and patients will initially only receive basic information that this study aims to evaluate headache and headache care in primary care.

After the intervention part, all follow-ups will be conducted by the first author (ESK), who will be blinded in relation to which treatment the participant has received. All participating patients will receive a semi-structured interview and clinical and neurological examination.

Population controls

1. Control group; random sample without chronic headache (headache if present must be <15 days per month) based on the screening questionnaire. This group will be used to control for burden of headache in terms of quality of life and costs. It will also be used for drop-out analyses.

2. Chronic headache control group; random sample with headache ≥15 days per month but without medication overuse based on the screening questionnaire. This group will be used as a control for the natural course of chronic headache as well as for drop-out analyses.

Intervention

Brief intervention course (BIC)

The participating GPs will receive a one day course held by headache specialists (CL and ESK). It includes general lectures about migraine, tension-type headache and chronic headaches, especially MOH. A presentation of the Brief Information scheme will be given with practical instructions examplified by role play. Participating GPs will earn CME credits by the Norwegian Medical Association as part of the GP training curriculum. In general, most of these physicians have previously not received specific training in the handling of MOH. However, information on possible previous participation in such training will be collected.

Brief intervention (BI)

GPs allocated to the BIC will receive information about screening-positive patients on their lists. These patients will be invited to a consultation for headache by the GP. BI will then be performed as follows (for more details see flow-chart, Figure 2):

Figure 2
figure 2

Flow-chart of GPs Brief Intervention for MOH strategy.

1. Use of the SDS questionnaire (Table 1) to identify patients at risk for MOH, i.e. SDS cut-off values ≥5 (females) and ≥4 (males) [30, 35, 36]. Inform the patient that he or she is identified as being at risk for MOH. Patients with SDS score under cut-off will also receive a structured intervention and information about the relationship between drug intake and headache and the importance of staying within “safe levels” of medication use.

2. Give short structured information about MOH and the association between medication overuse and chronic headache.

3. Give specific individualised information and advice regarding reduction of acute headache medication.

Table 1 The five questions of the Severity Dependence Scale (SDS) adapted for headache medication

Headache classification

The headaches will be classified according to explicit diagnostic criteria of the ICHD-II and it‘s relevant revisions [8386]. In this study we have defined chronic headache as 15 or more headache days per month for at least 3 months and/or 180 or more headache days per year as the ICHD-II does not provide an explicit definition for all headache diagnoses. The ICHD-II diagnosis will be made by the first author and by consensus in the project team based on the 3 month follow-up interview.

Headache diary

A modified version of a validated headache diary [87, 88] will be used in order to prospectively record data on headache frequency, headache intensity (VAS) and medication. We have also added self-reported number of sick-leave days. The completion of the diary for a two week period will be required at baseline, at three, six and twelve months for both BI and BAU patients. Written instructions for the completion of the diary will be mailed to the patients.

Blinded three months follow-up

Three months after the intervention (or after recruitment to the BAU arm), the patients will be invited to a clinical interview with an examination focusing on diagnosis of headache, relevant comorbidity, use and quantification of prescription drugs as well as OTC drugs. The interviewer will be blinded as to which study arm the patients are allocated to and the patients will be blinded as to intervention, outcomes and aim of study.

Additional questionnaires will be completed by the patients (Table 2) in order to cover headache related health and quality of life, use of health services, socioeconomic and demographic data.

Table 2 Validated questionnaires used for additional outcomes with comments regarding relevance for present study and references to the literature list

Twelve months follow-up

A re-interview of participants from both study arms done by telephone by the same interviewer will be performed after one year focusing on headache diagnosis, use of medication, and present burden of headache (number of headache days and intensity of headache). Headache associated quality of life will be assessed with MIDAS and HIT-6. SDS will be measured.

Outcome measures

Outcome measures are listed in Table 3. Primary outcomes are headache days and medication days per month comparing the two arms and change compared to baseline. With a simple, non-medication intervention as the present, any significant improvement in these parameters is judged to be of relevance. Proportions fulfilling commonly used clinical definitions of chronic headache (≥15 days/month) and medication overuse [7578] at follow up are also clinically relevant and included as secondary outcomes. In addition, since clinically relevant outcomes in medication studies have been suggested to be 25 to 50% improvement in headache days and headache index, these are also included as secondary outcomes.

Table 3 Outcome measures and time points for application of the various outcomes (statistical calculations are further described in the Statistics section)

Data handling and statistical analyses

Power calculations

According to the Norwegian Medical Association, the average number of listed patients pr GP is approximately 1200. Using 1000 patient pr GP (simplicity) gives us (based on previous studies [4, 5]) an estimate of approximately 30–40 patients with chronic headaches and 10 patients with MOH per GP.

Using previous results from studies from Akershus University Hospital [76] regarding number of days of medication intake per month and proportion of patients with headache more than 15 days per month before and after unstructured information about MOH, we have made an approximation of the required sample size.

Using 80% power for the detection of a similar sized difference as found in the previous study for number of days of medication intake [76], we would need 18 patients in each arm unadjusted and five clusters (ie. GPs) with eight patients each, to achieve significant results at the 5% level. For analysis of the proportion of patients with more than 15 days of headache, power calculations yield 30 patients or eight clusters (GPs) with eight patients each. Since the intra-cluster coefficient of correlation is not known (here estimated at 0.5 as a “worst case”) and since we don’t know the degree of carry-over of information from one group of GPs to another, we assume a sample size of 20 physicians (160 patients) to be reasonably safe. This would also give significant results at the 5% level even if only five patients per GP were included.

Statistics

All analyses will be focused at the patient level (inference unit will be patient). We will perform a series of frequency analyses tabulating outcome variables against various explanatory variables and/or confounders. Suitable descriptive statistics will be used. Since individual observations within the same cluster (ie. patients of one GP) may be correlated, the intra-cluster (intra-class) correlation coefficient (ICC) measuring such a “clustering effect” and estimating the relative variability within and between clusters will be calculated for both intervention- and control groups. Analysis of differences between BI- and BAU groups based on mixed linear models (MLM) will be performed to account for the hierarchical nature of data, where the main point is to allow variation to be modelled at each level of the data, for example, the GP and the patient level. 95% confidence intervals will be used.

Analysis based on prespecified hypotheses regarding the two primary and the secondary outcomes will be performed as hypothesis testing on the entire dataset and Bonferroni corrections will be used for multiple comparisons. For evaluation of possible outcome predictors where no prior data from this population exist, split file analysis [103] will be used. The splitting of the data set will be performed prior to any analyses of primary and/or secondary outcomes.

The intention-to-treat principle will be followed by including all patients with at least one follow-up response. Missing values will be handled using multiple imputation techniques.

SPSS 16.0 and SAS will be used for statistical analyses.

Registration of electronic data from the semi-structured interviews will be done by using Snap Survey (Snap Survey, London, UK).

The participating patients will receive a weekly reminder regarding the headache diary via mobile phone (SMS) during each two weeks diary period at three, six and twelve months, respectively.

Ethics and data security

The study has been approved by the Regional Committee for Medical Research Ethics, the Norwegian Social Science Data Services (NSD) and the Norwegian Directorate for Health.

All data will be anonymised. All participating patients and GPs must give informed, written consent. The approval of the Regional Committee for Medical Research Ethics was given based on a possibility of a cross-over from the control group to the intervention group if the main outcomes at three months show a significant beneficial effect of BI. This is to avoid a six months delay in offering effective treatment. In that case, the GPs in the BAU arm will receive the BIC and be able to perform BI on their own MOH patients.

Pilot study

The intervention has been be tested for practicability and acceptability in a pilot study with six GPs. The pilot study did not involve a control group. Recruitment methodology and logistics were tested. Patients from the pilot study will not be included in the main study.

Dissemination/feedback of results

After the study, feedback will be given to the involved GPs regarding the efficacy of BI and main outcomes. In addition, we aim to publish the results in international peer-reviewed scientific journals and disseminate our experiences in national medical fora.

Discussion

There is no consensus for MOH withdrawal programmes and there is therefore a need for evidence-based and cost-effective strategies for MOH [36, 37].

To our knowledge, this is the first double-blinded cluster-randomized controlled clinical trial for MOH in primary care.

The GPs that will be included in the present study are assumed to be representative for Norwegian GPs in general in terms of localisation (urban vs. suburban), gender and age distribution. Through the Norwegian GP list-patient system, all citizens are listed with a GP. Therefore, with a representative selection of GPs, the patient population is assumed to be reasonably population-based which will increase the external validity of our findings.

The age range of patients (18–50 years of age) has been chosen in order to target the highest number of patients with chronic headache, as the prevalence is lower in younger people and older people have a higher frequency of co-morbidities. We have chosen an upper age limit of 50 years since data from the Norwegian prescription database (NorPD) also indicate that there is an increase in the number and dosage of various relevant drugs (notably anti-hypertensives and cardiovascular drugs) at approximately 50 years of age [104] and we want to monitor headache medication and not the use of drugs prescribed for other illnesses.

Selection bias may occur by just including patients who are willing to cooperate in the intervention; however the same selection will take place in the control group. The selection of participating GPs are based on voluntary participation and the BIC will give them CME credits. Our GPs might therefore have a higher motivation for the BI than GPs in general, but this selection will also take place in the control group. Gains for participating GPs are: i) improvement in headache diagnostics and management ii) receiving a tool for identifying and detoxifying MOH patients.

The study group will cover the normal fee for the BI consultation for the patients, apart from this there are no economic incentives for participation either for the patients or the GPs.

Although questionnaires cannot replace an encounter with a skilled physician, single questions about migraine and tension-type headache and frequency of tension-type headache have been shown to be valid [80, 81]. However, especially among those with chronic or co-occurring headache types, diagnosing headaches is not always easy. The gold standard for making a specific headache diagnosis is an interview combined with a physical and neurological examination by a physician experienced in headache diagnostics. All patients will be diagnosed based on interviews by a GP trained and experienced in headache diagnostics also in order to avoid inter-observer variation (ESK).

Some of our data will be based on retrospective self-reports and therefore open to recall bias, although here is no reason to suspect systematic bias. In order to counteract this, we will also use headache data from prospective headache diaries [87]. Recent studies using a similar headache diary with written instructions before first consultation found high usefulness, acceptability and comprehensibility of the diary as well as good compliance and completeness of data [105, 106]. We will use the headache diary for periods of two weeks. This period may seem too short for infrequent forms of headache, but in our sample of chronic sufferers this should not be a problem. In addition, a longer headache registration period may reduce compliance and cause greater interference with the cohort.

A common finding in many brief intervention studies and RCTs on alcohol use, are small reductions in alcohol consumption at follow-up also in the control group [73, 107]. Possible reasons for this may be motivational effects of screening, sensitization to screening/measurements/follow-up, non-intended advice also in BAU group, and “regression towards the mean”. In this study we have tried to minimize most assessment effects by doing a double-blinded parallel RCT, and the screening questionnaire about medication use for headache is embedded with other questions about headache in the very short screening questionnaire. The control group will not receive the SDS screening before the three months follow-up and will therefore not be affected by this.

The SDS has not been validated against other measurements of dependency in MOH sufferers and, indeed, there is still much discussion as to whether MOH represents dependency [5055, 57]. Being fully aware of this, we will use the SDS score, not as an attempt to define dependency, but rather to distinguish between chronic headache subjects with and without medication overuse [30, 35].

A Danish study has shown that feasibility, acceptability and implementation of screening and brief intervention programs for alcohol overuse in primary care may cause more problems than they solve for some GPs because it might be problematic to incorporate a brief intervention and follow-up in a busy daily practice where many other different problems are targeted [108]. It is clear that if physicians, and especially GPs, are to deliver interventions in a busy daily and routine practice, it is of great importance that the interventions are feasible and considered clinically relevant. We have used knowledge and experience from a study on the epidemiology of headache in Norway [5, 6], a prescription peer academic detailing study [109, 110], and a pilot study to investigate some of these aspects, and used this to design the final structure and contents of both the BIC and the study to be both acceptable for patients and feasible for GPs in daily practice.

To reduce the workload for participating GPs as well as for blinding purposes, the first universal/opportunistic screening for chronic headache and probable medication overuse will be performed by the external project administration prior to the BI. Through this screening we also expect to reach possible chronic headache patients who might not be known as such by their GP. Apart from this initial screening, the study is a pragmatic trial tailored to fit into a busy situation of an everyday GP.

We suggest that strengths of this study include the design and approach with randomly assigned intervention and control groups in accordance with the CONSORT statement for RCTs [111].

The present project holds potentials for making a change in the focus on MOH treatment in particular, as well as the medication use for chronic headache in general. The dissemination of the results and of the BI methods to inform the Norwegian health care system will be possible because of the primary care strategy. There is a potential of reducing the suffering of MOH in a large, but so far largely neglected group of patients. Effective treatment at the GP-level, is also an advantage if it does not lead to more referrals to specialists. The principle of treatment at the lowest effective level of care, in this case in primary care, is a stated aim in the Norwegian health care system where also the geographical situation often reduces the accessibility to secondary health care services. In addition, a reduction in medication costs, improved headache status, and reduced secondary headache related costs, may lead to economical savings for society as well as benefits for the individual patients. Such effects may potentially be augmented by a greater awareness of GPs, pharmacists and society in general regarding dangers associated with indiscriminate use of pain killers for frequent headache.

References

  1. Jensen R, Stovner LJ: Epidemiology and comorbidity of headache. Lancet Neurol. 2008, 7: 354-361. 10.1016/S1474-4422(08)70062-0.

    PubMed  Google Scholar 

  2. Stovner LJ, Andree C: Impact of headache in Europe: a review for the Eurolight project. J Headache Pain. 2008, 9: 139-146. 10.1007/s10194-008-0038-6.

    PubMed  PubMed Central  Google Scholar 

  3. Rasmussen BK, Jensen R, Schroll M, Olesen J: Epidemiology of headache in a general population–a prevalence study. J Clin Epidemiol. 1991, 44: 1147-1157. 10.1016/0895-4356(91)90147-2.

    CAS  PubMed  Google Scholar 

  4. Hagen K, Zwart JA, Vatten L, Stovner LJ, Bovim G: Prevalence of migraine and non-migrainous headache–head-HUNT, a large population-based study. Cephalalgia. 2000, 20: 900-906. 10.1046/j.1468-2982.2000.00145.x.

    CAS  PubMed  Google Scholar 

  5. Grande RB, Aaseth K, Gulbrandsen P, Lundqvist C, Russell MB: Prevalence of primary chronic headache in a population-based sample of 30- to 44-year-old persons. The Akershus study of chronic headache. Neuroepidemiology. 2008, 30: 76-83. 10.1159/000116244.

    PubMed  Google Scholar 

  6. Aaseth K, Grande RB, Kvaerner KJ, Gulbrandsen P, Lundqvist C, Russell MB: Prevalence of secondary chronic headaches in a population-based sample of 30-44-year-old persons. The Akershus study of chronic headache. Cephalalgia. 2008, 28: 705-10.1111/j.1468-2982.2008.01577.x.

    CAS  PubMed  Google Scholar 

  7. Lanteri-Minet M, Auray JP, El HA, Dartigues JF, Duru G, Henry P, Lucas C, Pradalier A, Chazot G, Gaudin AF: Prevalence and description of chronic daily headache in the general population in France. Pain. 2003, 102: 143-149. 10.1016/s0304-3959(02)00348-2.

    PubMed  Google Scholar 

  8. Scher AI, Stewart WF, Liberman J, Lipton RB: Prevalence of frequent headache in a population sample. Headache. 1998, 38: 497-506. 10.1046/j.1526-4610.1998.3807497.x.

    CAS  PubMed  Google Scholar 

  9. Castillo J, Munoz P, Guitera V, Pascual J: Kaplan Award 1998: Epidemiology of chronic daily headache in the general population. Headache. 1998, 39: 190-196.

    Google Scholar 

  10. Lu SR, Fuh JL, Chen WT, Juang KD, Wang SJ: Chronic daily headache in Taipei, Taiwan: prevalence, follow-up and outcome predictors. Cephalalgia. 2001, 21: 980-986. 10.1046/j.1468-2982.2001.00294.x.

    CAS  PubMed  Google Scholar 

  11. Katsarava Z, Dzagnidze A, Kukava M, Mirvelashvili E, Djibuti M, Janelidze M, Jensen R, Stovner LJ, Steiner TJ: Primary headache disorders in the Republic of Georgia: prevalence and risk factors. Neurology. 2009, 73: 1796-1803. 10.1212/WNL.0b013e3181c34abb.

    CAS  PubMed  Google Scholar 

  12. Dent W, Spiss H, Helbok R, Matuja W, Scheunemann S, Schmutzhard E: Prevalence of migraine in a rural area in South Tanzania: a door-to-door survey. Cephalalgia. 2004, 24: 960-966. 10.1111/j.1468-2982.2004.00775.x.

    CAS  PubMed  Google Scholar 

  13. Morillo LE, Alarcon F, Aranaga N, Aulet S, Chapman E, Conterno L, Estevez E, Garcia-Pedroza F, Garrido J, Macias-Islas M, Monzillo P, Nunez L, Plascencia N, Rodriguez C, Takeuchi Y: Prevalence of migraine in Latin America. Headache. 2005, 45: 106-117. 10.1111/j.1526-4610.2005.05024.x.

    PubMed  Google Scholar 

  14. Rasmussen BK, Jensen R, Olesen J: Impact of headache on sickness absence and utilisation of medical services: a Danish population study. J Epidemiol Community Health. 1992, 46: 443-446. 10.1136/jech.46.4.443.

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Kristoffersen ES, Grande R, Aaseth K, Lundqvist C, Russell MB: Management of primary chronic headache in the general population: the Akershus study of chronic headache. J Headache Pain. 2012, 13: 113-120. 10.1007/s10194-011-0391-8.

    PubMed  Google Scholar 

  16. Lipton RB, Scher AI, Steiner TJ, Bigal ME, Kolodner K, Liberman JN, Stewart WF: Patterns of health care utilization for migraine in England and in the United States. Neurology. 2003, 60: 441-448. 10.1212/WNL.60.3.441.

    CAS  PubMed  Google Scholar 

  17. Scher AI, Lipton RB, Stewart WF, Bigal M: Patterns of medication use by chronic and episodic headache sufferers in the general population: results from the frequent headache epidemiology study. Cephalalgia. 2009, 30: 321-328.

    Google Scholar 

  18. Jonsson P, Hedenrud T, Linde M: Epidemiology of medication overuse headache in the general Swedish population. Cephalalgia. 2011, 31: 1015-1022. 10.1177/0333102411410082.

    PubMed  Google Scholar 

  19. Latinovic R, Gulliford M, Ridsdale L: Headache and migraine in primary care: consultation, prescription, and referral rates in a large population. J Neurol Neurosurg Psychiatry. 2006, 77: 385-387.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Cockerell OC, Goodridge DM, Brodie D, Sander JW, Shorvon SD: Neurological disease in a defined population: the results of a pilot study in two general practices. Neuroepidemiology. 1996, 15: 73-82. 10.1159/000109892.

    CAS  PubMed  Google Scholar 

  21. Wiles CM, Lindsay M: General practice referrals to a department of neurology. J R Coll Physicians Lond. 1996, 30: 426-431.

    CAS  PubMed  Google Scholar 

  22. Bekkelund SI, Albretsen C: Evaluation of referrals from general practice to a neurological department. Fam Pract. 2002, 19: 297-299. 10.1093/fampra/19.3.297.

    PubMed  Google Scholar 

  23. Zwart JA, Dyb G, Hagen K, Svebak S, Holmen J: Analgesic use: a predictor of chronic pain and medication overuse headache: the Head-HUNT Study. Neurology. 2003, 61: 160-164. 10.1212/01.WNL.0000069924.69078.8D.

    PubMed  Google Scholar 

  24. Eggen AE: The Tromso Study: frequency and predicting factors of analgesic drug use in a free-living population (12–56 years). J Clin Epidemiol. 1993, 46: 1297-1304. 10.1016/0895-4356(93)90098-L.

    CAS  PubMed  Google Scholar 

  25. Diener HC, Limmroth V: Medication-overuse headache: a worldwide problem. Lancet Neurol. 2004, 3: 475-483. 10.1016/S1474-4422(04)00824-5.

    PubMed  Google Scholar 

  26. Katsarava Z, Jensen R: Medication-overuse headache: where are we now?. Curr Opin Neurol. 2007, 20: 326-330. 10.1097/WCO.0b013e328136c21c.

    PubMed  Google Scholar 

  27. Evers S, Marziniak M: Clinical features, pathophysiology, and treatment of medication-overuse headache. Lancet Neurol. 2010, 9: 391-401. 10.1016/S1474-4422(10)70008-9.

    PubMed  Google Scholar 

  28. Colas R, Munoz P, Temprano R, Gomez C, Pascual J: Chronic daily headache with analgesic overuse: epidemiology and impact on quality of life. Neurology. 2004, 62: 1338-1342. 10.1212/01.WNL.0000120545.45443.93.

    CAS  PubMed  Google Scholar 

  29. Peters GA, Horton BT: Headache: with special reference to the excessive use of ergotamine preparations and withdrawal effects. Proc Staff Meet Mayo Clin. 1951, 26: 153-161.

    CAS  PubMed  Google Scholar 

  30. Grande RB, Aaseth K, Saltyte BJ, Gulbrandsen P, Russell MB, Lundqvist C: The Severity of Dependence Scale detects people with medication overuse: the Akershus study of chronic headache. J Neurol Neurosurg Psychiatry. 2009, 80: 784-789. 10.1136/jnnp.2008.168864.

    CAS  PubMed  Google Scholar 

  31. Zeeberg P, Olesen J, Jensen R: Probable medication-overuse headache: the effect of a 2-month drug-free period. Neurology. 2006, 66: 1894-1898. 10.1212/01.wnl.0000217914.30994.bd.

    PubMed  Google Scholar 

  32. Mathew NT, Kurman R, Perez F: Drug induced refractory headache–clinical features and management. Headache. 1990, 30: 634-638. 10.1111/j.1526-4610.1990.hed3010634.x.

    CAS  PubMed  Google Scholar 

  33. Dowson AJ: Analysis of the patients attending a specialist UK headache clinic over a 3-year period. Headache. 2003, 43: 14-18. 10.1046/j.1526-4610.2003.03003.x.

    PubMed  Google Scholar 

  34. Meskunas CA, Tepper SJ, Rapoport AM, Sheftell FD, Bigal ME: Medications associated with probable medication overuse headache reported in a tertiary care headache center over a 15-year period. Headache. 2006, 46: 766-772. 10.1111/j.1526-4610.2006.00442.x.

    PubMed  Google Scholar 

  35. Lundqvist C, Aaseth K, Grande RB, Benth JS, Russell MB: The severity of dependence score correlates with medication overuse in persons with secondary chronic headaches. The Akershus study of chronic headache. Pain. 2010, 148: 487-491. 10.1016/j.pain.2009.12.010.

    PubMed  Google Scholar 

  36. Rossi P, Jensen R, Nappi G, Allena M: A narrative review on the management of medication overuse headache: the steep road from experience to evidence. J Headache Pain. 2009, 10: 407-417. 10.1007/s10194-009-0159-6.

    PubMed  PubMed Central  Google Scholar 

  37. Evers S, Jensen R: Treatment of medication overuse headache–guideline of the EFNS headache panel. Eur J Neurol. 2011, 18: 1115-1121. 10.1111/j.1468-1331.2011.03497.x.

    CAS  PubMed  Google Scholar 

  38. Linton-Dahlof P, Linde M, Dahlof C: Withdrawal therapy improves chronic daily headache associated with long-term misuse of headache medication: a retrospective study. Cephalalgia. 2000, 20: 658-662.

    CAS  PubMed  Google Scholar 

  39. Obermann M, Katsarava Z: Management of medication-overuse headache. Expert Rev Neurother. 2007, 7: 1145-1155. 10.1586/14737175.7.9.1145.

    CAS  PubMed  Google Scholar 

  40. Katsarava Z, Fritsche G, Muessig M, Diener HC, Limmroth V: Clinical features of withdrawal headache following overuse of triptans and other headache drugs. Neurology. 2001, 57: 1694-1698. 10.1212/WNL.57.9.1694.

    CAS  PubMed  Google Scholar 

  41. Boe MG, Mygland A, Salvesen R: Prednisolone does not reduce withdrawal headache: a randomized, double-blind study. Neurology. 2007, 69: 26-31. 10.1212/01.wnl.0000263652.46222.e8.

    PubMed  Google Scholar 

  42. Pageler L, Katsarava Z, Diener HC, Limmroth V: Prednisone vs. placebo in withdrawal therapy following medication overuse headache. Cephalalgia. 2008, 28: 152-156.

    CAS  PubMed  Google Scholar 

  43. Krymchantowski AV, Barbosa JS: Prednisone as initial treatment of analgesic-induced daily headache. Cephalalgia. 2000, 20: 107-113. 10.1046/j.1468-2982.2000.00028.x.

    CAS  PubMed  Google Scholar 

  44. Hagen K, Albretsen C, Vilming ST, Salvesen R, Gronning M, Helde G, Gravdahl G, Zwart JA, Stovner LJ: Management of medication overuse headache: 1-year randomized multicentre open-label trial. Cephalalgia. 2009, 29: 221-232. 10.1111/j.1468-2982.2008.01711.x.

    CAS  PubMed  Google Scholar 

  45. Fontanillas N, Colas R, Munoz P, Oterino A, Pascual J: Long-term evolution of chronic daily headache with medication overuse in the general population. Headache. 2010, 50: 981-988. 10.1111/j.1526-4610.2010.01629.x.

    PubMed  Google Scholar 

  46. Katsarava Z, Limmroth V, Finke M, Diener HC, Fritsche G: Rates and predictors for relapse in medication overuse headache: a 1-year prospective study. Neurology. 2003, 60: 1682-1683. 10.1212/01.WNL.0000063322.14078.90.

    CAS  PubMed  Google Scholar 

  47. Katsarava Z, Muessig M, Dzagnidze A, Fritsche G, Diener HC, Limmroth V: Medication overuse headache: rates and predictors for relapse in a 4-year prospective study. Cephalalgia. 2005, 25: 12-15. 10.1111/j.1468-2982.2004.00789.x.

    CAS  PubMed  Google Scholar 

  48. Pini LA, Cicero AF, Sandrini M: Long-term follow-up of patients treated for chronic headache with analgesic overuse. Cephalalgia. 2001, 21: 878-883. 10.1046/j.1468-2982.2001.00288.x.

    CAS  PubMed  Google Scholar 

  49. Andrasik F, Grazzi L, Usai S, Kass S, Bussone G: Disability in chronic migraine with medication overuse: treatment effects through 5 years. Cephalalgia. 2009, 30: 610-614.

    Google Scholar 

  50. Radat F, Lanteri-Minet M: What is the role of dependence-related behavior in medication-overuse headache?. Headache. 2010, 50: 1597-1611. 10.1111/j.1526-4610.2010.01755.x.

    PubMed  Google Scholar 

  51. Saper JR, Hamel RL, Lake AE: Medication overuse headache (MOH) is a biobehavioural disorder. Cephalalgia. 2005, 25: 545-546. 10.1111/j.1468-2982.2005.00879.x.

    CAS  PubMed  Google Scholar 

  52. Saper JR, Lake AE: Medication overuse headache: type I and type II. Cephalalgia. 2006, 26: 1262-10.1111/j.1468-2982.2006.01198.x.

    CAS  PubMed  Google Scholar 

  53. Calabresi P, Cupini LM: Medication-overuse headache: similarities with drug addiction. Trends Pharmacol Sci. 2005, 26: 62-68. 10.1016/j.tips.2004.12.008.

    CAS  PubMed  Google Scholar 

  54. Fuh JL, Wang SJ, Lu SR, Juang KD: Does medication overuse headache represent a behavior of dependence?. Pain. 2005, 119: 49-55. 10.1016/j.pain.2005.09.034.

    PubMed  Google Scholar 

  55. Radat F, Creac'h C, Guegan-Massardier E, Mick G, Guy N, Fabre N, Giraud P, Nachit-Ouinekh F, Lantéri-Minet M: Behavioral dependence in patients with medication overuse headache: a cross-sectional study in consulting patients using the DSM-IV criteria. Headache. 2008, 48: 1026-1036. 10.1111/j.1526-4610.2007.00999.x.

    PubMed  Google Scholar 

  56. American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders, Text Revision (DSM-IV-TR). 2000, Washington DC: American Psychiatric Publishing, Inc, 4

    Google Scholar 

  57. Ferrari A, Cicero AF, Bertolini A, Leone S, Pasciullo G, Sternieri E: Need for analgesics/drugs of abuse: a comparison between headache patients and addicts by the Leeds Dependence Questionnaire (LDQ). Cephalalgia. 2006, 26: 187-193. 10.1111/j.1468-2982.2005.01020.x.

    CAS  PubMed  Google Scholar 

  58. Gossop M, Darke S, Griffiths P, Hando J, Powis B, Hall W, Strang J: The Severity of Dependence Scale (SDS): psychometric properties of the SDS in English and Australian samples of heroin, cocaine and amphetamine users. Addiction. 1995, 90: 607-614. 10.1111/j.1360-0443.1995.tb02199.x.

    CAS  PubMed  Google Scholar 

  59. de Las CC, Sanz EJ, de la Fuente JA, Padilla J, Berenguer JC: The Severity of Dependence Scale (SDS) as screening test for benzodiazepine dependence: SDS validation study. Addiction. 2000, 95: 245-250. 10.1046/j.1360-0443.2000.95224511.x.

    Google Scholar 

  60. Kaye S, Darke S: Determining a diagnostic cut-off on the Severity of Dependence Scale (SDS) for cocaine dependence. Addiction. 2002, 97: 727-731. 10.1046/j.1360-0443.2002.00121.x.

    PubMed  Google Scholar 

  61. Martin G, Copeland J, Gates P, Gilmour S: The Severity of Dependence Scale (SDS) in an adolescent population of cannabis users: reliability, validity and diagnostic cut-off. Drug Alcohol Depend. 2006, 83: 90-93. 10.1016/j.drugalcdep.2005.10.014.

    PubMed  Google Scholar 

  62. Topp L, Mattick RP: Choosing a cut-off on the Severity of Dependence Scale (SDS) for amphetamine users. Addiction. 1997, 92: 839-845. 10.1111/j.1360-0443.1997.tb02953.x.

    CAS  PubMed  Google Scholar 

  63. Lawrinson P, Copeland J, Gerber S, Gilmour S: Determining a cut-off on the Severity of Dependence Scale (SDS) for alcohol dependence. Addict Behav. 2007, 32: 1474-1479. 10.1016/j.addbeh.2006.09.005.

    PubMed  Google Scholar 

  64. Lundqvist C, Benth JS, Grande RB, Aaseth K, Russell MB: An adapted Severity of Dependence Scale is valid for the detection of medication overuse: the Akershus study of chronic headache. Eur J Neurol. 2011, 18: 512-518. 10.1111/j.1468-1331.2010.03202.x.

    CAS  PubMed  Google Scholar 

  65. Lundqvist C, Grande RB, Aaseth K, Russell MB: Dependence scores predict prognosis of medication overuse headache: A prospective cohort from the Akershus study of chronic headache. Pain. 2012, 153: 682-686. 10.1016/j.pain.2011.12.008.

    PubMed  Google Scholar 

  66. Babor TF, Higgins-Biddle JC: Brief Intervention for hazardous and harmful drinking - a manual for use in primary care. 2001, Geneva: World Health Organization

    Google Scholar 

  67. Saunders JB, Aasland OG: WHO collaborative study on identification and treatment of persons with harmful alcohol consumption. Report on phase I: development of a screening instrument. 1987, Geneva: World Health Organization

    Google Scholar 

  68. Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M: Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption–II. Addiction. 1993, 88: 791-804. 10.1111/j.1360-0443.1993.tb02093.x.

    CAS  PubMed  Google Scholar 

  69. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro M: The AUDIT: Guidelines for USE in Primary Care. 2001, Geneva: World Health Organization, 2

    Google Scholar 

  70. Saitz R, Alford DP, Bernstein J, Cheng DM, Samet J, Palfai T: Screening and Brief Intervention for Unhealthy Drug Use in Primary Care Settings: Randomized Clinical Trials Are Needed. J Addict Med. 2010, 4: 123-130. 10.1097/ADM.0b013e3181db6b67.

    PubMed  PubMed Central  Google Scholar 

  71. Wutzke SE, Conigrave KM, Saunders JB, Hall WD: The long-term effectiveness of brief interventions for unsafe alcohol consumption: a 10-year follow-up. Addiction. 2002, 97: 665-675. 10.1046/j.1360-0443.2002.00080.x.

    PubMed  Google Scholar 

  72. Nilssen O: Long-term effect of brief intervention in at-risk alcohol drinkers: a 9-year follow-up study. Alcohol Alcohol. 2004, 39: 548-551.

    PubMed  Google Scholar 

  73. Kaner EF, Beyer F, Dickinson HO, Pienaar E, Campbell F, Schlesinger C, Heather N, Saunders J, Burnand B: Effectiveness of brief alcohol interventions in primary care populations. Cochrane Database Syst Rev. 2007, 18 (2): CD004148-

    Google Scholar 

  74. Zahradnik A, Otto C, Crackau B, Lohrmann I, Bischof G, John U, Rumpf HJ: Randomized controlled trial of a brief intervention for problematic prescription drug use in non-treatment-seeking patients. Addiction. 2009, 104: 109-117. 10.1111/j.1360-0443.2008.02421.x.

    PubMed  Google Scholar 

  75. Bashir K, King M, Ashworth M: Controlled evaluation of brief intervention by general practitioners to reduce chronic use of benzodiazepines. Br J Gen Pract. 1994, 44: 408-412.

    CAS  PubMed  PubMed Central  Google Scholar 

  76. Grande RB, Aaseth K, Benth JS, Lundqvist C, Russell MB: Reduction in medication-overuse headache after short information. The Akershus study of chronic headache. Eur J Neurol. 2010, 18: 129-137.

    Google Scholar 

  77. Rossi P, Di LC, Faroni J, Cesarino F, Nappi G: Advice alone vs. structured detoxification programmes for medication overuse headache: a prospective, randomized, open-label trial in transformed migraine patients with low medical needs. Cephalalgia. 2006, 26: 1097-1105. 10.1111/j.1468-2982.2006.01175.x.

    CAS  PubMed  Google Scholar 

  78. Rossi P, Faroni JV, Nappi G: Short-term effectiveness of simple advice as a withdrawal strategy in simple and complicated medication overuse headache. Eur J Neurol. 2010, 3: 396-401.

    Google Scholar 

  79. Boe MG, Salvesen R, Mygland A: Chronic daily headache with medication overuse: a randomized follow-up by neurologist or PCP. Cephalalgia. 2009, 29: 855-863. 10.1111/j.1468-2982.2008.01810.x.

    CAS  PubMed  Google Scholar 

  80. Rasmussen BK, Jensen R, Olesen J: Questionnaire versus clinical interview in the diagnosis of headache. Headache. 1991, 31: 290-295. 10.1111/j.1526-4610.1991.hed3105290.x.

    CAS  PubMed  Google Scholar 

  81. Gervil M, Ulrich V, Olesen J, Russell MB: Screening for migraine in the general population: validation of a simple questionnaire. Cephalalgia. 1998, 18: 342-348. 10.1046/j.1468-2982.1998.1806342.x.

    CAS  PubMed  Google Scholar 

  82. Price DD, McGrath PA, Rafii A, Buckingham B: The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain. 1983, 17: 45-56. 10.1016/0304-3959(83)90126-4.

    CAS  PubMed  Google Scholar 

  83. Silberstein SD, Olesen J, Bousser MG, Diener HC, Dodick D, Goadsby PJ FM, Göbel H, Lainez MJ, Lance JW, Lipton RB, Nappi G, Sakai F, Schoenen J, Steiner TJ: The International Classification of Headache Disorders, 2nd Edition (ICHD-II)--revision of criteria for 8.2 Medication-overuse headache. Cephalalgia. 2005, 25: 460-465. 10.1111/j.1468-2982.2005.00878.x.

    CAS  PubMed  Google Scholar 

  84. Olesen J, Bousser MG, Diener HC, Dodick D, First M, Goadsby PJ, Göbel H, Lainez MJ, Lance JW, Lipton RB, Nappi G, Sakai F, Schoenen J, Silberstein SD, Steiner TJ: New appendix criteria open for a broader concept of chronic migraine. Cephalalgia. 2006, 26: 742-746.

    CAS  PubMed  Google Scholar 

  85. Headache Classification Subcommittee of the International Headache Society: The International Classification of Headache Disorders. Cephalalgia. 2004, 24 (Suppl 1): 9-160.

    Google Scholar 

  86. Cephalalgia: ERRATUM. Cephalalgia. 2006, 26: 360-

    Google Scholar 

  87. Russell MB, Rasmussen BK, Brennum J, Iversen HK, Jensen RA, Olesen J: Presentation of a new instrument: the diagnostic headache diary. Cephalalgia. 1992, 12: 369-374. 10.1111/j.1468-2982.1992.00369.x.

    CAS  PubMed  Google Scholar 

  88. Lundqvist C, Benth JS, Grande RB, Aaseth K, Russell MB: A vertical VAS is a valid instrument for monitoring headache pain intensity. Cephalalgia. 2009, 29: 1034-1041. 10.1111/j.1468-2982.2008.01833.x.

    CAS  PubMed  Google Scholar 

  89. Ware JE, Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992, 30: 473-483. 10.1097/00005650-199206000-00002.

    PubMed  Google Scholar 

  90. Ware JE, Snow KK, Gandek B: SF-36 health survey. Manual and interpretation guide. 1993, Boston, MA: The Health Institute, New England Medical Center

    Google Scholar 

  91. Loge JH, Kaasa S, Hjermstad MJ, Kvien TK: Translation and performance of the Norwegian SF-36 Health Survey in patients with rheumatoid arthritis. I. Data quality, scaling assumptions, reliability, and construct validity. J Clin Epidemiol. 1998, 51: 1069-1076. 10.1016/S0895-4356(98)00098-5.

    CAS  PubMed  Google Scholar 

  92. Kosinski M, Bayliss MS, Bjorner JB, Ware JE, Garber WH, Batenhorst A, Cady R, Dahlöf CG, Dowson A, Tepper S: A six-item short-form survey for measuring headache impact: the HIT-6. Qual Life Res. 2003, 12: 963-974. 10.1023/A:1026119331193.

    CAS  PubMed  Google Scholar 

  93. Gandek B, Alacoque J, Uzun V, Andrew-Hobbs M, Davis K: Translating the Short-Form Headache Impact Test (HIT-6) in 27 countries: methodological and conceptual issues. Qual Life Res. 2003, 12: 975-979. 10.1023/A:1026171315263.

    CAS  PubMed  Google Scholar 

  94. Gossop M, Best D, Marsden J, Strang J: Test-retest reliability of the Severity of Dependence Scale. Addiction. 1997, 92: 353-10.1111/j.1360-0443.1997.tb03205.x.

    CAS  PubMed  Google Scholar 

  95. Eysenck HJ, Eysenck SBG: Manual of the Eysenck personality questionnaire. 1975, London: Hodder and Stoughton

    Google Scholar 

  96. Tambs K, Sundet JM, Eaves L, Solaas MH, Berg K: Pedigree analysis of Eysenck Personality Questionnaire (EPQ) scores in monozygotic (MZ) twin families. Behav Genet. 1991, 21: 369-382. 10.1007/BF01065973.

    CAS  PubMed  Google Scholar 

  97. Eysenck SBG, Tambs K: Cross-cultural comparison of personality: Norway and England. Scand J Psychol. 1990, 31: 191-197. 10.1111/j.1467-9450.1990.tb00830.x.

    Google Scholar 

  98. Derogatis LR, Lipman RS, Rickels K, Uhlenhuth EH, Covi L: The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behav Sci. 1974, 19: 1-15. 10.1002/bs.3830190102.

    CAS  PubMed  Google Scholar 

  99. Mouanoutoua VL, Brown LG: Hopkins Symptom Checklist-25, Hmong version: a screening instrument for psychological distress. J Pers Assess. 1995, 64: 376-383. 10.1207/s15327752jpa6402_16.

    CAS  PubMed  Google Scholar 

  100. Zigmond AS, Snaith RP: The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983, 67: 361-370. 10.1111/j.1600-0447.1983.tb09716.x.

    CAS  PubMed  Google Scholar 

  101. Sandanger I, Moum T, Ingebrigtsen G, Dalgard OS, Sorensen T, Bruusgaard D: Concordance between symptom screening and diagnostic procedure: the Hopkins Symptom Checklist-25 and the Composite International Diagnostic Interview I. Soc Psychiatry Psychiatr Epidemiol. 1998, 33: 345-354. 10.1007/s001270050064.

    CAS  PubMed  Google Scholar 

  102. Bjelland I, Dahl AA, Haug TT, Neckelmann D: The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002, 52: 69-77. 10.1016/S0022-3999(01)00296-3.

    PubMed  Google Scholar 

  103. Dahl FA, Grotle M, Saltyte BJ, Natvig B: Data splitting as a countermeasure against hypothesis fishing: with a case study of predictors for low back pain. Eur J Epidemiol. 2008, 23: 237-242. 10.1007/s10654-008-9230-x.

    PubMed  PubMed Central  Google Scholar 

  104. Norwegian Institute of public health: Norwegian Prescription Database (NorPD). 2009, http://www.norpd.no/,

    Google Scholar 

  105. Tassorelli C, Sances G, Allena M, Ghiotto N, Bendtsen L, Olesen J, Nappi G, Jensen R: The usefulness and applicability of a basic headache diary before first consultation: results of a pilot study conducted in two centres. Cephalalgia. 2008, 28: 1023-1030. 10.1111/j.1468-2982.2008.01639.x.

    CAS  PubMed  Google Scholar 

  106. Jensen R, Tassorelli C, Rossi P, Allena M, Osipova V, Steiner T, Sandrini G, Olesen J, Nappi G: A basic diagnostic headache diary (BDHD) is well accepted and useful in the diagnosis of headache. a multicentre European and Latin American study. Cephalalgia. 2011, 31: 1549-1560. 10.1177/0333102411424212.

    CAS  PubMed  Google Scholar 

  107. Kaner E, Bland M, Cassidy P, Coulton S, Deluca P, Drummond C, Gilvarry E, Godfrey C, Heather N, Kaner E, Myles J, Oyefeso A, Parrott S, Perryman K, Phillips T, Shenker D, Shepherd J: Screening and brief interventions for hazardous and harmful alcohol use in primary care: a cluster randomised controlled trial protocol. BMC Public Health. 2009, 9: 287-10.1186/1471-2458-9-287.

    PubMed  PubMed Central  Google Scholar 

  108. Beich A, Gannik D, Malterud K: Screening and brief intervention for excessive alcohol use: qualitative interview study of the experiences of general practitioners. BMJ. 2002, 325: 870-10.1136/bmj.325.7369.870.

    PubMed  PubMed Central  Google Scholar 

  109. Straand J, Fetveit A, Rognstad S, Gjelstad S, Brekke M, Dalen I: A cluster-randomized educational intervention to reduce inappropriate prescription patterns for elderly patients in general practice–The Prescription Peer Academic Detailing (Rx-PAD) study [NCT00281450]. BMC Health Serv Res. 2006, 6: 72-10.1186/1472-6963-6-72.

    PubMed  PubMed Central  Google Scholar 

  110. Gjelstad S, Fetveit A, Straand J, Dalen I, Rognstad S, Lindbaek M: Can antibiotic prescriptions in respiratory tract infections be improved? A cluster-randomized educational intervention in general practice–the Prescription Peer Academic Detailing (Rx-PAD) Study [NCT00272155]. BMC Health Serv Res. 2006, 6: 75-10.1186/1472-6963-6-75.

    PubMed  PubMed Central  Google Scholar 

  111. Consort Statement. 2011, http://www.consort-statement.org/concort-statement/,

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Acknowledgements

This study is supported by grants from the University of Oslo, the Research Centre at Akershus University Hospital and the South-Eastern Norway Regional Health Authority. Helpful advice and support from Jan Frich and Hilde Lurås is gratefully acknowledged.

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Correspondence to Christofer Lundqvist.

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The authors declare that they have no competing interests.

Authors’ contributions

CL had the original idea for the study and together with JS, MBR and ESK planned the overall design. ESK prepared the initial draft of the study protocol and was the main author of the present manuscript and together with CL carried out the pilot study. MBR supported in the design of the protocol and with scientific input regarding headache. JŠB planned the statistics methodology and was involved in the experimental design. All authors have read, revised and approved the final manuscript.

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Kristoffersen, E.S., Straand, J., Benth, J.S. et al. Study protocol: Brief intervention for medication overuse headache - A double-blinded cluster randomised parallel controlled trial in primary care. BMC Neurol 12, 70 (2012). https://doi.org/10.1186/1471-2377-12-70

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