This article has Open Peer Review reports available.
Self-wise, Other-wise, Streetwise (SOS) training: a novel intervention to reduce victimization in dual diagnosis psychiatric patients with substance use disorders: protocol for a randomized controlled trial
© de Waal et al. 2015
Received: 22 July 2015
Accepted: 16 October 2015
Published: 29 October 2015
Psychiatric patients are more likely to be victims of crime than others in the community. Dual diagnosis patients with comorbid psychiatric and substance use disorders are especially prone to victimization. Victimization is associated with substance abuse, more severe symptomatology and homelessness. There is a strong need for interventions to reduce victimization in this population. We developed the Self-wise, Other-wise, Streetwise (SOS) training to reduce victimization in patients with dual diagnosis.
This study is a randomized controlled trial using a parallel group design to determine the effectiveness of adding the SOS training to care as usual. Patients with dual diagnosis (N = 250) will be allocated to either care as usual plus SOS training (N = 125) or care as usual only (N = 125) using computer-generated stratified block randomization. To compare effectiveness participants will be interviewed at baseline and 2, 8 and 14 months follow-up. The primary outcome measure is treatment response (yes/no), defined as either no victimization at 14 months follow-up or at least a 50 % reduction in incidents of victimization at 14 months follow-up compared to baseline assessment. Victimization is measured with the Safety Monitor, an adequate self-report instrument used by Statistics Netherlands to measure victimization on a large scale in the Netherlands. Outcome assessors are blind to treatment allocation. An economic evaluation will be performed alongside the randomized controlled trial and will take the societal perspective.
This study is the first randomized controlled trial to examine the effectiveness of an intervention that aims to reduce victimization in patients with dual diagnosis. If the intervention is effective it can be implemented in mental health care and contribute to the safety and well-being of patients.
Dutch Trial Register (NTR): 4472, date of registration: 24-03-2014.
In contrast to what the general public assumes, psychiatric patients are more often victims of crime than perpetrators [1–3]. A systematic review on the prevalence of violent victimization of patients with severe mental illness (SMI) indicates that these patients are more likely to be violently victimized than other community members . In addition to violent victimization, psychiatric patients are more often a victim of property crime . Recent research in the Netherlands showed an annual prevalence rate of victimization in SMI outpatients of 47 % compared to 32 % in the general population . Dual diagnosis patients with comorbid psychiatric and substance use disorders are especially prone to victimization [2, 5, 6]. These patients are approximately 1.3–5.4 times more likely to be violently victimized than psychiatric patients without substance use disorders [2, 5].
Victimization is associated with physical injury, psychological distress and impaired occupational functioning [7–9], but also with posttraumatic stress disorder, major depression, substance abuse and difficulties with emotion regulation and assertiveness [7, 9–13]. In SMI patients, victimization is associated with more severe symptomatology and poorer illness course [14–16], more substance abuse [14, 15, 17, 18], depression , homelessness [15, 17], violent behavior , offending  and interpersonal problems . In substance-dependent patients, victimization is associated with psychological distress , worse psychiatric status, more psychiatric hospitalizations and outpatient treatment, worse general level of functioning , worse addiction illness-course  and offending .
Since most studies used cross-sectional designs, the exact mechanisms behind these associations remain unclear. It is however plausible that these problems associated with victimization, such as substance abuse, more severe symptomatology and homelessness, are consequences as well as predictors of victimization [12, 14, 24, 26–28]; This may cause a destructive vicious cycle of victimization, substance use and severe symptomatology. In line with this is the finding that an accurate predictor of victimization is having a history of victimization [26, 29–32]. One explanation of this victimization-revictimization link is that some are more prone to become a victim than others, due to personal characteristics, lifestyle and living environment [33, 34]. There is however evidence that revictimization is partly the result of changes following victimization, like emotion dysregulation, more substance use, offending, depression and posttraumatic stress disorder [12, 24, 32, 35].
Victimization of patients is an important concern not only because of its huge effect on mental and physical health, but also because of the significant societal and economic consequences of violence, due to increased burden on social services, healthcare and justice systems and productivity losses . Reducing victimization in psychiatric patients may have long-lasting effects on personal well-being, the number of criminal offenses in society and economic costs. Consequently, there is a strong need for interventions to reduce victimization in psychiatric patients [2–4, 37–39]. Patients with dual diagnosis are the most vulnerable to victimization [2, 3, 5]. There is a lack of evidence-based treatment options for patients with substance use disorders co-occurring with severe mental illness  or posttraumatic stress disorder . Therefore, we developed an intervention, the Self-wise, Other-wise, Streetwise (SOS) training, that aims to reduce vulnerability to victimization in patients with dual diagnosis.
SOS training focusses on the modifiable risk factors for victimization, which are subdivided into three different themes, represented in three training modules. The module Self-wise targets emotion regulation skills, the module Other-wise targets assertiveness and conflict resolution skills and the module Streetwise targets knowledge and skills to enhance personal safety and reduce vulnerability. As no evidence-based interventions are available so far, SOS training is based on evidence based treatment programs in other patient groups that target these skills [42–46]. SOS training is adapted to the needs of patients with substance use disorders co-occurring with any other mental disorders and can therefore be widely used in clinical practice.
By adding SOS training to care as usual (CAU) we expect patients to improve on psychopathology, emotion regulation skills, interpersonal problems and self-esteem. Besides, adding SOS training to CAU is expected to result in a decrease in substance use. We expect that these improvements will result in a reduction of victimization.
Aims of the trial
This study aims to investigate the effectiveness of SOS training in reducing victimization of patients with dual diagnosis.
Does adding SOS training to CAU result in a larger reduction of victimization compared to CAU alone?
Does adding SOS training to CAU result in a larger improvement on secondary outcome measures compared to CAU alone?
How do costs and effects of SOS training + CAU compare to CAU from a societal perspective?
This study is a single-blind two-arm randomized controlled trial using a parallel group design to determine the effectiveness of adding SOS training to CAU. Participants will be interviewed at baseline and 2, 8 and 14 months follow-up. After baseline assessment, participants will be randomly allocated to either CAU + SOS training or CAU.
Participants will be recruited in an addiction-psychiatry clinic and an addiction-psychiatry outpatient care facility in Amsterdam. Inclusion criteria are (1) 18 years of age or older; (2) substance dependence or substance abuse (involving alcohol and/or illegal drugs, including cannabis) according to Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) criteria; and (3) at least one other mental disorder on DSM-IV Axis I or II. Patients are excluded from the study if they (1) do not have sufficient understanding of the Dutch language; or (2) are not eligible for group therapy according to their case manager, due to for instance severe anti-social or psychopathic traits; (3) are not willing to provide informed consent. Based on a priori power analysis, we aim to include 250 (2x125) participants in this study.
Self-wise, Other-wise, Streetwise (SOS) training
The experimental add-on intervention, SOS training, is a 12 session group-based training . Sessions take place twice a week and take 75 min. Each session utilizes learning techniques such as role playing, visual material, group discussions and sharing experiences. The trainers create a safe and respectful environment. Participants can give each other tokens of appreciation during every session, in order to reinforce desirable behaviour. These tokens are cards with coloured stars. By using the tokens, participants learn to reinforce and support each other. Furthermore, the tokens stimulate the participants to listen to and interact with each other. The training comprises 3 modules, Self-wise, Other-wise and Streetwise. Each module consists of 4 sessions. There is no specific order in which participants follow these modules.
The module Self-wise involves a transdiagnostic emotion regulation skills training. Emotion regulation refers to the ability to monitor, evaluate and modify emotional reactions to accomplish one’s goals . Emotion dysregulation is a predictor of victimization [12, 49–51]. Lack of emotional awareness, for instance the inability to recognize and interpret fear cues, impairs risk perception [12, 52]. Poor risk perception increases the risk for victimization [49, 52]. Emotion dysregulation, especially impulsivity, also increases the likelihood of entering a risky situation and makes it more difficult to leave or adequately cope with a dangerous situation [12, 52]. Even small increases in emotion regulation can impact victimization risk substantially . Since no evidence-based emotion regulation skills training is available for our target group, the content of Self-wise is inspired by elements of affect regulation therapy for major depressive disorder , anger management training for people with intellectual disabilities , skills training in affect and interpersonal regulation for patients with posttraumatic stress disorder related to childhood abuse  and the system training for emotional predictability and problem solving for patients with borderline personality disorder . Self-wise is a new, simplified emotion regulation skills training suitable for patients with dual diagnosis, based on the principles of these interventions.
The module Other-wise involves a conflict resolution skills training. Offending, violent behaviour, interpersonal problems and lack of assertiveness increase the risk for victimization [13, 19–21, 25]. Aggressive responses to provocation can easily lead to an escalation of violence. On the other hand, non-assertive responses can provoke manipulation and exploitation. The content of Other-wise is inspired by social skills training for patients with schizophrenia . In this module patients compose a list of important skills for preventing and resolving conflicts, which are practiced in role-playing exercises categorized by theme. Examples of these themes are: Responding to Frustrating Situations, Handling Bad News and Leaving Unsafe Situations. The specific role-playing exercises within these themes are based on input from dual diagnosis patients and mental health professionals working with these patients.
The module Streetwise involves a street skills training. It has been suggested that teaching patients about changeable factors that contribute to their risk of victimization may be effective in reducing victimization [37, 53–55]. Streetwise builds on the suggested strategies that make patients reflect on the safety of their environment and their own contribution to safety. An important aspect of Streetwise is safety regarding drug related behaviour and contact with drug dealers. All knowledge and skills are transferred in a playful, stimulating manner, using role-play and creative exercises.
CAU: Care as usual
Most participants will suffer from chronic mental health problems. Hence, CAU is an ongoing treatment process. CAU usually consists of pharmacotherapy in combination with a form of case management, for instance assertive community treatment . In addition, since SOS training will be imbedded in addiction-psychiatry treatment programs, when enrolling in this study most participants will attend some form of psychosocial therapy. Depending on the participants’ motivation, capacities and needs this may include: cognitive behavioural therapy , motivational interviewing , substance abuse management training , social skills training, psychomotor therapy and mindfulness. The type and amount of care received by participants will be recorded.
SOS training will be implemented in the treatment programs of an addiction-psychiatry dual diagnosis clinic and an addiction-psychiatry outpatient care facility of Arkin Mental Health Care, division Mentrum. Arkin is an Amsterdam-based public mental health care treatment facility. Eight employees are selected to be trained to deliver the intervention. These SOS-trainers work in various positions, for instance as psychologist, nurse or social worker. All have ample experience in working with psychiatric patients with substance use disorders and are motivated to implement this new intervention. The SOS-trainers will follow a detailed training manual which describes each training session. Each session will be led by an SOS-trainer accompanied by an SOS-co-trainer.
The education for SOS-trainers includes: studying the SOS training manual independently and two 3-h group training sessions, which will be provided by one of the researchers. The first group training session consists of: the theoretical framework of SOS training, an explanation of the exercises in module Streetwise and practising these exercises. The second group training session consists of: an explanation of the exercises in module Self-wise and Other-wise and practising these exercises. The researcher who provides the education for SOS-trainers will be present at the delivery of the first 12 sessions SOS training on both locations, to provide additional feedback to the SOS-trainers after each session. Thereafter, this researcher will attend an SOS training session at least once every month on both locations. After 6 months, an individual evaluation will be held with every SOS-trainer.
Recruitment and consent
Patients will be recruited in an addiction-psychiatry dual diagnosis clinic and an addiction-psychiatry outpatient care facility. All patients who fit the inclusion criteria, will be informed and invited by their mental health care facility. Participants will receive a participation compensation of 15 Euros per assessment for T0, T1 and T2 and 30 Euros for T3. Written informed consent will be provided before the first assessment takes place.
Randomization and treatment allocation
Participants will be allocated to CAU + SOS training or CAU by an independent researcher using a computer-generated block randomization schedule. Randomization will be stratified by two prognostic factors: treatment centre (clinic/outpatient care) and victimization in the year prior to baseline (yes/no). Block size varies randomly. To prevent selection bias, the research coordinator and outcome assessors are denied access to the randomization schedule and are blind to block size and order.
Overview of measurement instruments
Questions regarding likelihood and controllability of victimization
Alcohol Use Disorder Identification Test
Drug Use Disorder Identification Test
Brief Psychiatric Rating Scale
Kessler psychological distress scale
Difficulties in Emotion Regulation Scale
Dimensions of Anger Reactions
Inventory of Interpersonal Problems
Self Esteem Rating Scale
Manchester Short Assessment of Quality of Life
Trimbos questionnaire on Costs associated with Psychiatric illness
Jellinek PTSD Screening Questionnaire
Posttraumatic Diagnostic Scale
Mini-Mental State Examination
Client Satisfaction Questionnaire
Both outcome assessors will be blind to the trial arm to which the participant is allocated after randomization. To verify blinding, after each follow-up assessment the assessor will record to which trial arm he/she thinks the participant is allocated. Furthermore, the assessor will record his/her confidence regarding these thoughts on allocation.
Primary outcome measure: victimization
violent crimes, consisting of: sexual crimes, threats and assaults;
property crimes, consisting of: burglary, theft from car, car theft, motor vehicle theft, bicycle theft, robbery and theft of other property;
The Safety Monitor examines whether participants experienced each specific crime in the last 5 years. If so, they are asked whether they experienced that crime in the last 12 months. For each crime reported, participants are asked how frequently they experienced that crime in the last 12 months.
The primary outcome measure is treatment response (yes/no), defined as either no victimization at T3 or at least a 50 % reduction in incidents of victimization at T3 compared to T0. Since there are no previous randomized controlled trials available that aimed to reduce victimization in this target group, our treatment response criteria are based on experts opinions. Mental health care professionals working with dual diagnosis patients indicated a 50 % reduction in incidents of victimization as a clinically relevant and achievable goal.
Key secondary outcome measures
Violent victimization and property victimization
The Safety Monitor subcategories violent victimization and property victimization will be examined separately.
Substance use (disorders)
Substance use in the past 90 days will be measured with the Timeline Followback (TLFB) , which has good reported reliability and validity in dual diagnosis populations [63, 64]. Using calendars, beginning on the day of assessment and working backwards, participants reconstruct daily substance use.
The Alcohol Use Disorder Identification Test (AUDIT) , developed by the World Health Organization (WHO) will be included to measure alcohol consumption burden. The AUDIT has shown good reliability and validity in various target groups  including individuals with severe mental illness [66–68]. The Drug Use Disorder Identification Test (DUDIT) , developed as a parallel instrument to the AUDIT, will be included to measure drug consumption burden. The DUDIT has shown good reliability and validity in individuals with psychosis  and in substance abusers in various treatment settings [69, 71].
Psychopathology will be measured with the Brief Psychiatric Rating Scale-Expanded (BPRS-E) [72, 73], which evaluates a broad range of psychiatric symptoms. The BPRS-E is often used as measure of symptom outcome in psychiatric populations . The clinician-administered instrument is sensitive to change in symptom severity, is valid [74, 75] and reliable [74, 76], also in patients with dual diagnosis .
Emotion dysregulation will be measured with the Difficulties in Emotion Regulation Scale (DERS) . The DERS evaluates clinically relevant emotion regulation difficulties across multiple domains, represented in six subscales: non-acceptance of emotional responses, difficulty engaging in goal-directed behaviour, impulse control difficulties, lack of emotional awareness, limited access to emotion regulation strategies and lack of emotional clarity. The DERS is used extensively as outcome variable in clinical research and has high internal consistency and good test-retest reliability and construct validity [78, 79], also in patients with SMI .
Other secondary outcome measures
interpersonal functioning as measured with the Inventory of Interpersonal Problems (IIP-32) ,
self-esteem as measured with the Self Esteem Rating Scale (SERS-SF 20) ,
anger disposition as measured with the Dimensions of Anger Reactions (DAR) ,
healthcare costs and productivity losses/gains as measured with the Trimbos/iMTA questionnaire on Costs associated with Psychiatric illness (TiC-P) .
Other variables of interest
General patient characteristics
General demographic characteristics such as age, gender, marital status and educational level will be collected at baseline. Furthermore, current DSM-IV diagnosis, total days of hospitalisation, all-cause mortality, Global Assessment of Functioning (GAF) and mental healthcare received by participants will be extracted from the electronic patient record.
Context of victimization
For all crimes reported, context information on victimization will be examined with the Safety Monitor. Each crime reported will be followed by an exploration of the most recent incident. The Safety Monitor contains questions on when and where the incident happened, who the perpetrator was and whether the police was informed. For perpetrator we added the answer options ‘friend’, ‘drug dealer’, ‘other patient’ and 'health care worker’ in addition to the existing options.
In addition to the crimes described in the section ‘primary outcome measure’, four new types of crime that were added in the most recent version of the Safety Monitor will be examined. These new types of crime are: identity fraud, sales fraud, hacking and cyberbullying.
To obtain more detailed information on victimization we extended the Safety Monitor with extra questions. For sexual crimes, threats, assaults and robbery we examine what led to the incident, whether the patient used any substances at the time of the incident and, if relevant, why the participant did not inform the police.
Likelihood and controllability of victimization
For each crime assessed with the Safety Monitor, questions are added that examine the perceived likelihood and controllability of becoming a victim of this crime. These questions are based on a risk perception study by Jackson . Participants are asked: ‘to what extent do you feel able to control whether or not you become a victim of the following?’ and ‘how likely do you think it is that you will fall victim of each of the following during the next twelve months?’. To obtain conceptual equivalence, three of the researchers independently translated the questions to Dutch and then formed a panel to resolve discrepancies in these forward translations. Subsequently, an independent translator translated the questions back to English. We discussed discrepancies with this translator until we reached consensus. Finally, we successfully pre-tested the questions on 10 patients from our study population.
Perpetration will be measured with the extended version of the Safety Monitor. For each crime, participants are asked if they have committed that crime in the last 5 years. If so, participants are asked if and how often they permitted that crime in the last 12 months. Prior to the assessment of perpetration, participants will be reminded of the confidentiality of the assessment.
Within-day relationship victimization and substance use
The within-day relationship between victimization and substance use will be examined with the TLFB . First, substance use will be administered with the TLFB, using calendars, as described in the section ‘secondary outcome measures’. Thereafter participants will reconstruct victimization in the past 90 days, following the same procedure, beginning on the day of assessment and working backwards. For each day on which both victimization and substance use are reported, the within-day process will be examined. Participants will be asked to indicate whether they used substances before being victimized, after being victimized, or both. The TLFB has previously been used to assess partner violence and victimization and their within-day relation to substance use [90–93].
Post-traumatic stress disorder
The Jellinek PTSD Screening Questionnaire  will be included to screen for post-traumatic stress disorder symptoms. If a participant tests positive, post-traumatic stress disorder symptoms are measured using the Posttraumatic Diagnostic Scale (PDS) .
The Mini-Mental State Examination (MMSE) will be included to screen for cognitive impairment.
Client satisfaction with treatment services
For each participant in the clinic, two observation scales will be independently administered by two out of eight nurses, who are not otherwise involved in the SOS training or research. Social functioning will be measured with the Personal and Social Performance scale (PSP) . Aggressive and social behaviour will be measured with the Observation Scale for Aggressive Behaviour (OSAB) , which consists of the subscales: irritation/anger, anxiety/gloominess, aggressive behaviour, antecedent (to aggressive behaviour), sanction (for aggressive behaviour) and social behaviour. Due to practical reasons, the observation scales will only be administered for hospitalized participants.
Evaluation of treatment
After each training session, the SOS-trainers will fill in a session evaluation form in which they note to what extent they followed the instructions in the SOS training manual (scale 1–10) and which participants were present, including a mark (scale 1–10) for effort.
After completing each module of SOS training, participants randomized to CAU + SOS training will fill in a questionnaire to evaluate that module. Each evaluation contains the questions: ‘how much fun was this module to you?’ and ‘how helpful was this module to you?’ (both scale 0–10). Subsequently, participants rate three module-specific skills on a scale from 0 to 100, with 0 being ‘I did not improve on this at all’ and 100 being ‘I improved on this a lot’. Finally, participants will rate how much they improved on self-confidence and on controllability of becoming a victim of crime, due to following this module (scale from 0 to 100).
Sample size calculation
A priori sample size calculations were performed using G*power 22.214.171.124. We are the first to explore effects of an intervention to reduce victimization in this target group, which makes it impossible to provide an exact estimate of effect size for the main outcome measure in this sample. In order to be able to detect a 20 % difference in treatment response between the two trial arms (50 % treatment response in SOS training + CAU versus 30 % treatment response in CAU) with α = .05 and power = .80, the total sample size should be at least 186 (N CAU + SOS training = 93, N CAU = 93). Since a drop-out of 25 % can be expected in this target group we aim to include 250 participants.
Primary data analyses will be performed in accordance with the intention-to-treat paradigm. In addition, per protocol analyses will be conducted. Missing data will be addressed using multiple imputation. Statistical significance will be set at α < .05, based on two-sided tests. The effect of treatment in terms of the primary and secondary outcome variables will be analysed with generalized linear mixed model regression analysis (GLMM) with adequate link functions, taking into account distributional characteristics of the data.
We will consider four types of costs: (1) the costs of offering the intervention (SOS training + CAU or CAU), (2) costs stemming from general health care uptake besides SOS training + CAU or CAU, including the costs of medication, (3) patients' out-of-pocket expenses (eg traveling costs, leisure time spent on receiving care), (4) costs stemming from productivity losses due to absenteeism or reduced efficiency while at work (presenteeism). The first two types of costs are also known as the direct medical costs and these will be based on the full economic costs of offering the interventions. Here, we will use the pertinent Dutch guideline for economic evaluation , and rely on the standard cost prices reported therein. Productivity losses will be based on the gender- and age-specific labour costs. Data on resource use (health care uptake) and productivity losses will be collected with the widely used TiC-P .
As effect measure, the 5-level variant of the 5-dimensional EuroQol instrument (EQ-5D-5 L)  will be used to compute health gains expressed in quality adjusted life years (QALYs). Health utilities are a major feature of the EQ-5D instrument. As the EQ-5D-5 L is relatively recent update of the 3-level EQ-5D, studies that directly elicit preferences from general population samples to derive value sets to calculate the EQ-5D-5 L health utilities are under development in a number of countries, including the Netherlands . In the interim, the EuroQol Group coordinated a study that administered both the 3-level and 5-level versions of the EQ-5D, in order to develop a “crosswalk” between the EQ-5D-3 L value sets and the new EQ-5D-5 L descriptive system, resulting in crosswalk value sets for the EQ-5D-5 L . It is expected that the new utilities for the EQ-5D-5 L will be available when we will perform the calculations for the economic evaluation; otherwise we will use the crosswalk from the EuroQol Group to calculate health utilities.
The economic evaluation will be conducted alongside the randomized trial, taking into account the CHEERS statement  and the 2015 ISPOR good research practices task force report on cost-effectiveness analysis alongside clinical trials . Technically, the economic evaluation referred to as cost-effectiveness analysis in the following section will be a cost-utility analysis as health utilities are used as the effect measure.
Using the area under the curve (AUC) method, the periods between the measurement waves will be weighted by the utility of the health state in that period. This allows the computation of quality adjusted life years (QALYs) over the entire trial period. In similar vein, cumulative costs over the entire follow-up period will be obtained from the cost estimates at the various measurement waves. The cost-utility evaluation will be performed in line with suggestions by Drummond et al. (2005) , i.e. in agreement with the intention-to-treat principle, with missing data addressed using imputation.
The incremental cost-effectiveness ratio (ICER) will be calculated as follows: ICER = (C1-C2)/(E1-E2), where C stands for costs, E for effects, and subscripts 1 and 2 refer to the two trial arms (SOS training + CAU and CAU, respectively). Confidence intervals around the ICER will be calculated using a non-parametric bootstrap approach: 5,000 non-parametric bootstrapped samples will be extracted from the original dataset. For each of these bootstrapped samples, the incremental costs, incremental effects, and the incremental cost-effectiveness ratio (ICER) will be calculated. The resulting 5,000 ICERs will be used for further calculations and will be plotted on a cost-effectiveness plane. In addition, cost-effectiveness acceptability curves (CEACs) will be constructed. One-way sensitivity analyses directed at uncertainty in the main cost drivers will be performed to gauge the robustness of our findings. In addition, a sensitivity analysis in which a covariate-adjusted CEAC curve is constructed will be conducted using net benefit regression methods [106, 107].
This RCT has been reviewed and approved by the ethics committee of the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands and will be conducted in accordance with the Declaration of Helsinki .
Patients with comorbid mental and substance use disorders are vulnerable to victimization [1–5]. There is a strong need for interventions that reduce victimization of patients [2–4, 37, 53]. This randomized clinical trial is the first to test the effectiveness of an intervention that aims to reduce vulnerability for victimization in patients with dual diagnosis. We will test whether adding the Self-wise, Other-wise, Streetwise (SOS) training to care as usual results in a reduction of victimization. Besides, we will examine improvement on secondary outcome measures and cost-effectiveness.
Previous studies testing the effectiveness of psychosocial interventions in similar target groups have been hampered by small samples, poor experimental design, short follow-up periods and high loss to treatment and loss to follow-up . Major strengths of this study are the follow-up period of 14 months, the relatively large sample size of 250 individuals and the large battery of validated and clinically relevant outcome measures. Furthermore, those assessing outcomes will be blind to treatment allocation. Our main challenges in this study are expected to be treatment adherence and preventing drop-out. We will work closely together with patients’ mental health care professionals to prevent drop-out as much as possible. Moreover, participants will receive monetary compensation for completing follow-up assessments. Finally, missing data will be addressed using multiple imputation.
If SOS training is effective in reducing vulnerability for victimization it can be implemented in mental health care and contribute to the safety and well-being of patients.
This research is part of the Violence Against Psychiatric Patients programme, financed by the Netherlands Organisation for Scientific Research (NWO) (grant number 432-12-804 awarded to JD, AEG, MB and MK). We thank Judith Bosmans (Vrije Universiteit, Amsterdam) who contributed to constructing an appropriate version of the Trimbos/iMTA questionnaire on Costs associated with Psychiatric illness (TiC-P).
Open AccessThis 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.
- Choe JY, Teplin LA, Abram KM. Perpetration of violence, violent victimization, and severe mental illness: balancing public health concerns. Psychiatr Serv. 2008;59:153–64.PubMed CentralPubMedView ArticleGoogle Scholar
- Latalova K, Kamaradova D, Prasko J. Violent victimization of adult patients with severe mental illness: a systematic review. Neuropsychiatr Dis Treat. 2014;10:1925–39.PubMed CentralPubMedView ArticleGoogle Scholar
- Maniglio R. Severe mental illness and criminal victimization: a systematic review. Acta Psychiatr Scand. 2009;119:180–91.PubMedView ArticleGoogle Scholar
- Kamperman AM, Henrichs J, Bogaerts S, Lesaffre EM, Wierdsma AI, Ghauharali RR, et al. Criminal victimisation in people with severe mental illness: a multi-site prevalence and incidence survey in the Netherlands. PLoS One. 2014;9:e91029.PubMed CentralPubMedView ArticleGoogle Scholar
- Sells DJ, Rowe M, Fisk D, Davidson L. Violent victimization of persons with co-occurring psychiatric and substance use disorders. Psychiatr Serv. 2003;54:1253–7.PubMedView ArticleGoogle Scholar
- Kessler RC. The epidemiology of dual diagnosis. Biol Psychiatry. 2004;56:730–7.PubMedView ArticleGoogle Scholar
- Resnick HS, Acierno R, Kilpatrick DG. Health impact of interpersonal violence. 2: medical and mental health outcomes. Behav Med. 1997;23:65–78.PubMedView ArticleGoogle Scholar
- Hanson RF, Sawyer GK, Begle AM, Hubel GS. The impact of crime victimization on quality of life. J Trauma Stress. 2010;23:189–97.PubMed CentralPubMedGoogle Scholar
- Robinson F, Keithley J. The impacts of crime on health and health services: a literature review. Health, Risk & Society. 2000;2:253–66.View ArticleGoogle Scholar
- Krug EG, Mercy JA, Dahlberg LL, Zwi AB. World report on violence and health. Biomedica. 2002;22 Suppl 2:327–36.PubMedView ArticleGoogle Scholar
- Kilpatrick DG, Acierno R. Mental health needs of crime victims: epidemiology and outcomes. J Trauma Stress. 2003;16:119–32.PubMedView ArticleGoogle Scholar
- Messman-Moore TL, Ward RM, Zerubavel N. The role of substance use and emotion dysregulation in predicting risk for incapacitated sexual revictimization in women: results of a prospective investigation. Psychol Addict Behav. 2013;27:125–32.PubMedView ArticleGoogle Scholar
- Kearns MC, Calhoun KS. Sexual revictimization and interpersonal effectiveness. Violence Vict. 2010;25:504–17.PubMedView ArticleGoogle Scholar
- Brekke JS, Prindle C, Bae SW, Long JD. Risks for individuals with schizophrenia who are living in the community. Psychiatr Serv. 2001;52:1358–66.PubMedView ArticleGoogle Scholar
- Walsh E, Moran P, Scott C, McKenzie K, Burns T, Creed F, et al. Prevalence of violent victimisation in severe mental illness. Br J Psychiatry. 2003;183:233–8.PubMedView ArticleGoogle Scholar
- Newman JM, Turnbull A, Berman BA, Rodrigues S, Serper MR. Impact of traumatic and violent victimization experiences in individuals with schizophrenia and schizoaffective disorder. J Nerv Ment Dis. 2010;198:708–14.PubMedView ArticleGoogle Scholar
- Goodman LA, Salyers MP, Mueser KT, Rosenberg SD, Swartz M, Essock SM, et al. Recent victimization in women and men with severe mental illness: prevalence and correlates. J Trauma Stress. 2001;14:615–32.PubMedView ArticleGoogle Scholar
- Fisher HL, Roberts A, Day F, Reynolds N, Iacoponi E, Garety PA, et al. Impact of crime victimization on initial presentation to an early intervention for psychosis service and 18-month outcomes. Early Interv Psychiatry. 2015. doi:10.1111/eip.12219.Google Scholar
- Hiday VA, Swanson JW, Swartz MS, Borum R, Wagner HR. Victimization: a link between mental illness and violence? Int J Law Psychiatry. 2001;24:559–72.PubMedView ArticleGoogle Scholar
- de Vries S, Kamperman A, Lako I, Sytema S, Bervoets P, van der Gaag M, et al. Geweld tegen psychiatrisch patienten in Nederland. Maandblad Geestelijke Volksgezondheid. 2011;66:8–19.Google Scholar
- Stepp SD, Smith TD, Morse JQ, Hallquist MN, Pilkonis PA. Prospective associations among borderline personality disorder symptoms, interpersonal problems, and aggressive behaviors. J Interpers Violence. 2012;27:103–24.PubMed CentralPubMedView ArticleGoogle Scholar
- Golder S, Logan TK. Cumulative victimization, psychological distress, and high-risk behavior among substance-involved women. Violence Vict. 2011;26:477–95.PubMedView ArticleGoogle Scholar
- Pirard S, Sharon E, Kang SK, Angarita GA, Gastfriend DR. Prevalence of physical and sexual abuse among substance abuse patients and impact on treatment outcomes. Drug Alcohol Depend. 2005;78:57–64.PubMedView ArticleGoogle Scholar
- Lijffijt M, Hu K, Swann AC. Stress modulates illness-course of substance use disorders: a translational review. Front Psychiatry. 2014;5:83.PubMed CentralPubMedView ArticleGoogle Scholar
- Stevens A, Berto D, Frick U, Kerschl V, McSweeny T, Schaaf S, et al. The victimization of dependent drug users: findings from a european study, UK. Eur J Criminol. 2007;4(4):385–408.View ArticleGoogle Scholar
- Lam JA, Rosenheck R. The effect of victimization on clinical outcomes of homeless persons with serious mental illness. Psychiatr Serv. 1998;49:678–83.PubMedView ArticleGoogle Scholar
- Neria Y, Bromet EJ, Carlson GA, Naz B. Assaultive trauma and illness course in psychotic bipolar disorder: findings from the Suffolk county mental health project. Acta Psychiatr Scand. 2005;111:380–3.PubMedView ArticleGoogle Scholar
- Teasdale B. Mental disorder and violent victimization. Criminal Justice and Behavior. 2009;36:513–35.View ArticleGoogle Scholar
- Roodman AA, Clum GA. Revictimization rates and method variance: a meta-analysis. Clin Psychol Rev. 2001;21:183–204.PubMedView ArticleGoogle Scholar
- Classen CC, Palesh OG, Aggarwal R. Sexual revictimization: a review of the empirical literature. Trauma Violence Abuse. 2005;6:103–29.PubMedView ArticleGoogle Scholar
- Widom CS, Czaja SJ, Dutton MA. Childhood victimization and lifetime revictimization. Child Abuse Negl. 2008;32:785–96.PubMed CentralPubMedView ArticleGoogle Scholar
- Ruback RB, Clark VA, Warner C. Why are crime victims at risk of being victimized again? Substance use, depression, and offending as mediators of the victimization-revictimization link. J Interpers Violence. 2014;29:157–85.PubMedView ArticleGoogle Scholar
- Tseloni A, Pease K. Repeat personal victimization ‘Boosts’ or ‘Flags’? Br J Criminol. 2003;43:196–212.View ArticleGoogle Scholar
- Wittebrood K. Slachtoffers van criminaliteit. Sociaal en Cultureel Planbureau: Den Haag; 2006.Google Scholar
- Mueser KT, Rosenberg SD, Goodman LA, Trumbetta SL. Trauma, PTSD, and the course of severe mental illness: an interactive model. Schizophr Res. 2002;53:123–43.PubMedView ArticleGoogle Scholar
- Patel DM, Taylor RM. Social and Economic Costs of Violence: Workshop Summary. Washington, D.C.: The National Academies Press; 2012.Google Scholar
- Teplin LA, McClelland GM, Abram KM, Weiner DA. Crime victimization in adults with severe mental illness: comparison with the national crime victimization survey. Arch Gen Psychiatry. 2005;62:911–21.PubMed CentralPubMedView ArticleGoogle Scholar
- Perese EF. Stigma, poverty, and victimization: roadblocks to recovery for individuals with severe mental illness. J Am Psychiatr Nurses Assoc. 2007;13(5):285–95.View ArticleGoogle Scholar
- de Mooij LD, Kikkert M, Lommerse NM, Peen J, Meijwaard SC, Theunissen J, et al. Victimisation in adults with severe mental disorders: prevalence and risk factors. Br J Psychiatry. 2015.Google Scholar
- Hunt GE, Siegfried N, Morley K, Sitharthan T, Cleary M. Psychosocial interventions for people with both severe mental illness and substance misuse. Cochrane Database Syst Rev. 2013;10, CD001088.PubMedGoogle Scholar
- Ralevski E, Olivera-Figueroa LA, Petrakis I. PTSD and comorbid AUD: a review of pharmacological and alternative treatment options. Subst Abuse Rehabil. 2014;5:25–36.PubMed CentralPubMedGoogle Scholar
- Berking M, Ebert D, Cuijpers P, Hofmann SG. Emotion regulation skills training enhances the efficacy of inpatient cognitive behavioral therapy for major depressive disorder: a randomized controlled trial. Psychother Psychosom. 2013;82:234–45.PubMedView ArticleGoogle Scholar
- Willner P, Rose J, Jahoda A, Kroese BS, Felce D, Cohen D, et al. Group-based cognitive-behavioural anger management for people with mild to moderate intellectual disabilities: cluster randomised controlled trial. Br J Psychiatry. 2013;203:288–96.PubMedView ArticleGoogle Scholar
- Cloitre M, Stovall-McClough KC, Nooner K, Zorbas P, Cherry S, Jackson CL, et al. Treatment for PTSD related to childhood abuse: a randomized controlled trial. Am J Psychiatry. 2010;167:915–24.PubMedView ArticleGoogle Scholar
- van Wel EB, Bos EH, Appelo MT, Berendsen EM, Willgeroth FC, Verbraak MJ. The efficacy of the systems training for emotional predictability and problem solving (STEPPS) in the treatment of borderline personality disorder. A randomized controlled trial. Tijdschr Psychiatr. 2009;51:291–301.PubMedGoogle Scholar
- Bellack AS, Mueser KT, Gingerich S, Agresta J. Social skills training for Schizophrenia: A step-by-step guide. 2nd Edition. New York, NY: The Guilford Press; 2004.Google Scholar
- de Waal MM, Goudriaan AE, Kikkert MJ, Dekker JJM. Handleiding SOS Training [Manual SOS Training]. 2014.Google Scholar
- Thompson RA. Emotion regulation: a theme in search of definition. Monogr Soc Res Child Dev. 1994;59:25–52.PubMedView ArticleGoogle Scholar
- Marx BP, Heidt JM, Gold SD. Perceived uncontrollability and unpredictability, self-regulation and sexual revictimization. Rev Gen Psychol. 2005;9:67–90.View ArticleGoogle Scholar
- Rieffe C, Camodeca M, Pouw L, Lange A, Stockman L. Don’t anger me! Bullying, victimization, and emotion dysregulation in young adolescents with ASD. Eur J Dev Psychol. 2012;9:351–70.View ArticleGoogle Scholar
- Stevens NR, Gerhart J, Goldsmith RE, Heath NM, Chesney SA, Hobfoll SE. Emotion regulation difficulties, low social support, and interpersonal violence mediate the link between childhood abuse and posttraumatic stress symptoms. Behav Ther. 2013;44:152–61.PubMedView ArticleGoogle Scholar
- Walsh K, DiLillo D, Messman-Moore TL. Lifetime sexual victimization and poor risk perception: does emotion dysregulation account for the links? J Interpers Violence. 2012;27:3054–71.PubMed CentralPubMedView ArticleGoogle Scholar
- Perese EF. Victimization of society’s. Most vulnerable citizens. J Psychosoc Nurs Ment Health Serv. 2007;45:8–9.PubMedGoogle Scholar
- Corrigan PW, Holmes EP. Patient identification of street skills for a psychosocial training module. Hosp Community Psychiatry. 1994;45:273–6.PubMedGoogle Scholar
- Holmes EP, Corrigan PW, Stephenson J, Nugent-Hirschbeck J. Learning street smarts for an urban setting. Psychiatr Rehab J. 1997;20:64–6.View ArticleGoogle Scholar
- Stein LI, Santos AB. Assertive Community Treatment of Persons With Severe Mental Illness. New York, NY: W. W. Norton and Co., Inc; 1998.Google Scholar
- Beck JS. Cognitive Behavior Therapy. New York, NY: The Guilford Press; 2011.Google Scholar
- Miller WR, Rollnick S. Motivational Interviewing. 3rd ed. New York, NY: Guilford Press; 2012.Google Scholar
- Roberts LJ, Shaner A, Eckman TA. Trainingsmodule Omgaan met verslaving [Training module substance abuse management]. Garant: Leuven-Apeldoorn; 2001.Google Scholar
- Akkermans M, Coumans M, Kloosterman R, Linden G, Moons E. Veiligheidsmonitor 2013. Den Haag: Centraal Bureau voor de Statistiek; 2014.Google Scholar
- Killias M. International Crime Victimization Survey (ICVS). In: Encyclopedia of Victimology and Crime Prevention. Thousand Oaks: SAGE Publications; 2010. p. 486–9.Google Scholar
- Sobell LC, Sobell MB. Timeline Followback user’s Guide: A Calendar Method for Assessing Alcohol and Drug use. Addiction Research Foundation: Toronto, Ontario, Canada; 1996.Google Scholar
- Carey KB, Carey MP, Maisto SA, Henson JM. Temporal stability of the timeline followback interview for alcohol and drug use with psychiatric outpatients. J Stud Alcohol. 2004;65:774–81.PubMed CentralPubMedView ArticleGoogle Scholar
- Stasiewicz PR, Vincent PC, Bradizza CM, Connors GJ, Maisto SA, Mercer ND. Factors affecting agreement between severely mentally ill alcohol abusers‘ and collaterals’ reports of alcohol and other substance abuse. Psychol Addict Behav. 2008;22:78–87.PubMed CentralPubMedView ArticleGoogle Scholar
- 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.PubMedView ArticleGoogle Scholar
- Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. The Alcohol Use Disorders Identification Test: guidelines for use in primary care. 2001.Google Scholar
- Dawe S, Seinen A, Kavanagh D. An examination of the utility of the AUDIT in people with schizophrenia. J Stud Alcohol. 2000;61:744–50.PubMedView ArticleGoogle Scholar
- Maisto SA, Carey MP, Carey KB, Gordon CM, Gleason JR. Use of the AUDIT and the DAST-10 to identify alcohol and drug use disorders among adults with a severe and persistent mental illness. Psychol Assess. 2000;12:186–92.PubMedView ArticleGoogle Scholar
- Berman AH, Bergman H, Palmstierna T, Schlyter F. Evaluation of the Drug Use Disorders Identification Test (DUDIT) in criminal justice and detoxification settings and in a Swedish population sample. Eur Addict Res. 2005;11:22–31.PubMedView ArticleGoogle Scholar
- Nesvag R, Lange EH, Faerden A, Barrett EA, Emilsson B, Ringen PA, et al. The use of screening instruments for detecting alcohol and other drug use disorders in first-episode psychosis. Psychiatry Res. 2010;177:228–34.PubMedView ArticleGoogle Scholar
- Voluse AC, Gioia CJ, Sobell LC, Dum M, Sobell MB, Simco ER. Psychometric properties of the Drug Use Disorders Identification Test (DUDIT) with substance abusers in outpatient and residential treatment. Addict Behav. 2012;37:36–41.PubMedView ArticleGoogle Scholar
- Lukoff D, Nuechterlein KH, Ventura J. Manual for the expanded BPRS. Schizophr Bull. 1986;12:594–602.Google Scholar
- Ruggeri M, Koeter M, Schene A, Bonetto C, Vazquez-Barquero JL, Becker T, et al. Factor solution of the BPRS-expanded version in schizophrenic outpatients living in five European countries. Schizophr Res. 2005;75:107–17.PubMedView ArticleGoogle Scholar
- Burlingame GM, Dunn TW, Chen S, Lehman A, Axman R, Earnshaw D, et al. Selection of outcome assessment instruments for inpatients with severe and persistent mental illness. Psychiatr Serv. 2005;56:444–51.PubMedView ArticleGoogle Scholar
- Kopelowicz A, Ventura J, Liberman RP, Mintz J. Consistency of brief psychiatric rating scale factor structure across a broad spectrum of schizophrenia patients. Psychopathology. 2008;41:77–84.PubMedView ArticleGoogle Scholar
- Schutzwohl M, Jarosz-Nowak J, Briscoe J, Szajowski K, Kallert T. Inter-rater reliability of the brief psychiatric rating scale and the Groningen social disabilities schedule in a european multi-site randomized controlled trial on the effectiveness of acute psychiatric day hospitals. Int J Methods Psychiatr Res. 2003;12:197–207.PubMedView ArticleGoogle Scholar
- Lykke J, Hesse M, Austin SF, Oestrich I. Validity of the BPRS, the BDI and the BAI in dual diagnosis patients. Addict Behav. 2008;33:292–300.PubMedView ArticleGoogle Scholar
- Gratz KL, Roemer L. Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J Psychopathol Behav Assess. 2004;26:41–54.View ArticleGoogle Scholar
- Neumann A, van Lier PA, Gratz KL, Koot HM. Multidimensional assessment of emotion regulation difficulties in adolescents using the difficulties in emotion regulation scale. Assessment. 2010;17:138–49.PubMedView ArticleGoogle Scholar
- Fowler JC, Charak R, Elhai JD, Allen JG, Frueh BC, Oldham JM. Construct validity and factor structure of the difficulties in emotion regulation scale among adults with severe mental illness. J Psychiatr Res. 2014;58:175–80.PubMedView ArticleGoogle Scholar
- Horowitz LM, Alden LE, Wiggins JS, Pincus AL. Inventory of Interpersonal Problems. London: Psychological Corporation; 2000.Google Scholar
- Lecomte T, Corbiere M, Laisne F. Investigating self-esteem in individuals with schizophrenia: relevance of the Self-Esteem Rating Scale-Short Form. Psychiatry Res. 2006;143:99–108.PubMedView ArticleGoogle Scholar
- Nederlof AF, Hovens JE, Muris P, Novaco RW. Psychometric evaluation of a Dutch version of the dimensions of anger reactions. Psychol Rep. 2009;105:585–92.PubMedView ArticleGoogle Scholar
- Kessler R, Mroczek D. Final Versions of our Non-Specific Psychological Distress Scale. Ann Arbor (MI): Survey Research Center of the Institute for Social Research, University of Michigan; 1994.Google Scholar
- Donker T, Comijs H, Cuijpers P, Terluin B, Nolen W, Zitman F, et al. The validity of the Dutch K10 and extended K10 screening scales for depressive and anxiety disorders. Psychiatry Res. 2010;176:45–50.PubMedView ArticleGoogle Scholar
- Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5 L). Qual Life Res. 2011;20:1727–36.PubMed CentralPubMedView ArticleGoogle Scholar
- Priebe S, Huxley P, Knight S, Evans S. Application and results of the Manchester Short Assessment of Quality of Life (MANSA). Int J Soc Psychiatry. 1999;45:7–12.PubMedView ArticleGoogle Scholar
- Bouwmans C, De JK, Timman R, Zijlstra-Vlasveld M, Feltz-Cornelis C, Tan SS, et al. Feasibility, reliability and validity of a questionnaire on healthcare consumption and productivity loss in patients with a psychiatric disorder (TiC-P). BMC Health Serv Res. 2013;13:217.PubMed CentralPubMedView ArticleGoogle Scholar
- Jackson J. Revisiting risk sensitivity in the fear of crime. J Res Crime Delinq. 2011;000:1–25.Google Scholar
- Parks KA, Fals-Stewart W. The temporal relationship between college women’s alcohol consumption and victimization experiences. Alcohol Clin Exp Res. 2004;28:625–9.PubMedView ArticleGoogle Scholar
- Epstein-Ngo QM, Cunningham RM, Whiteside LK, Chermack ST, Booth BM, Zimmerman MA, et al. A daily calendar analysis of substance use and dating violence among high risk urban youth. Drug Alcohol Depend. 2013;130:194–200.PubMed CentralPubMedView ArticleGoogle Scholar
- Rothman EF, Stuart GL, Winter M, Wang N, Bowen DJ, Bernstein J, et al. Youth alcohol use and dating abuse victimization and perpetration: a test of the relationships at the daily level in a sample of pediatric emergency department patients who use alcohol. J Interpers Violence. 2012;27:2959–79.PubMed CentralPubMedView ArticleGoogle Scholar
- Stuart GL, Moore TM, Elkins SR, O’Farrell TJ, Temple JR, Ramsey SE, et al. The temporal association between substance use and intimate partner violence among women arrested for domestic violence. J Consult Clin Psychol. 2013;81:681–90.PubMedView ArticleGoogle Scholar
- Van DD, Ehring T, Vedel E, Emmelkamp PM. Screening for posttraumatic stress disorder in civilian substance use disorder patients: cross-validation of the Jellinek-PTSD screening questionnaire. J Subst Abuse Treat. 2013;44:126–31.View ArticleGoogle Scholar
- Foa EB, Cashman L, Jaycox L, Perry K. The validation of a self-report measure of posttraumatic stress disorder: the posttraumatic diagnostic scale. Psychol Assess. 1997;9:445–51.View ArticleGoogle Scholar
- Attkisson CC, Zwick R. The client satisfaction questionnaire. Psychometric properties and correlations with service utilization and psychotherapy outcome. Eval Program Plann. 1982;5:233–7.PubMedView ArticleGoogle Scholar
- De Wilde EF, Hendriks VM. The client satisfaction questionnaire: psychometric properties in a Dutch addict population. Eur Addict Res. 2005;11:157–62.PubMedView ArticleGoogle Scholar
- Morosini PL, Magliano L, Brambilla L, Ugolini S, Pioli R. Development, reliability and acceptability of a new version of the DSM-IV Social and Occupational Functioning Assessment Scale (SOFAS) to assess routine social functioning. Acta Psychiatr Scand. 2000;101:323–9.PubMedGoogle Scholar
- Hornsveld RH, Nijman HL, Hollin CR, Kraaimaat FW. Development of the Observation Scale for Aggressive Behavior (OSAB) for Dutch forensic psychiatric inpatients with an antisocial personality disorder. Int J Law Psychiatry. 2007;30:480–91.PubMedView ArticleGoogle Scholar
- Hakkaart-van RL, Tan S, Bouwmans C. Handleiding voor kostenonderzoek, methoden en standaard kostprijzen voor economische evaluaties in de gezondheidszorg [Manual for Cost Research, Methods and Standard Cost Prices for Economic Evaluations in Health Care]. Diemen: College voor Zorgverzekeringen; 2010.Google Scholar
- EuroQol Group. EQ-5D-5L Value Sets. Rotterdam: EuroQol Research Foundation; 2015.Google Scholar
- van Hout B, Janssen MF, Feng YS, Kohlmann T, Busschbach J, Golicki D, et al. Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. Value Health. 2012;15:708–15.PubMedView ArticleGoogle Scholar
- Husereau D, Drummond M, Petrou S, Carswell C, Moher D, Greenberg D, et al. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement. BMJ. 2013;346:f1049.PubMedView ArticleGoogle Scholar
- Ramsey SD, Willke RJ, Glick H, Reed SD, Augustovski F, Jonsson B, et al. Cost-effectiveness analysis alongside clinical trials II-An ISPOR Good Research Practices Task Force report. Value Health. 2015;18:161–72.PubMedView ArticleGoogle Scholar
- Drummond M, Sculpher M, Torrance G, O’Brien B, Stoddart G. Methods for the Economic Evaluation of Health Care Programmes. Oxford: Oxford University Press; 2005.Google Scholar
- Hoch JS, Rockx MA, Krahn AD. Using the net benefit regression framework to construct cost-effectiveness acceptability curves: an example using data from a trial of external loop recorders versus Holter monitoring for ambulatory monitoring of “community acquired” syncope. BMC Health Serv Res. 2006;6:68.PubMed CentralPubMedView ArticleGoogle Scholar
- Isaranuwatchai W, Markle-Reid M, Hoch JS. Adjusting for baseline covariates in Net benefit regression: How You adjust matters. Pharmacoeconomics. 2015;33(10):1083–90.PubMedView ArticleGoogle Scholar
- General Assembly of the World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Am Coll Dent. 2014;81:14–8.Google Scholar