Advertisement

BMC Psychiatry

, 19:151 | Cite as

Cost-effectiveness of a lifestyle intervention for people with a serious mental illness (SMILE): design of a pragmatic cluster-randomised controlled trial

  • Florine S. WalburgEmail author
  • Berno van Meijel
  • Maurits W. van Tulder
  • Marcel C. Adriaanse
Open Access
Study protocol
Part of the following topical collections:
  1. Social psychiatry, therapy and provision of mental health care

Abstract

Background

Cardiovascular disease is the leading cause of the estimated 11–25 years reduced life expectancy for persons with serious mental illness (SMI). This excess cardiovascular mortality is primarily attributable to obesity, diabetes, hypertension, and dyslipidaemia. Obesity is associated with a sedentary lifestyle, limited physical activity and an unhealthy diet. Lifestyle interventions for persons with SMI seem promising in reducing weight and cardiovascular risk. The aim of this study is to evaluate the effectiveness and cost-effectiveness of a lifestyle intervention among persons with SMI in an outpatient treatment setting.

Methods

The Serious Mental Illness Lifestyle Evaluation (SMILE) study is a cluster-randomized controlled trial including an economic evaluation in approximately 18 Flexible Assertive Community Treatment (FACT) teams in the Netherlands. The intervention aims at a healthy diet and increased physical activity. Randomisation takes place at the level of participating FACT-teams. We aim to include 260 outpatients with SMI and a body mass index of 27 or higher who will either receive the lifestyle intervention or usual care. The intervention will last 12 months and consists of weekly 2-h group meetings delivered over the first 6 months. The next 6 months will include monthly group meetings, supplemented with regular individual contacts. Primary outcome is weight loss. Secondary outcomes are metabolic parameters (waist circumference, lipids, blood pressure, glucose), quality of life and health related self-efficacy. Costs will be measured from a societal perspective and include costs of the lifestyle program, health care utilization, medication and lost productivity. Measurements will be performed at baseline and 3, 6 and 12 months.

Discussion

The SMILE intervention for persons with SMI will provide important information on the effectiveness, cost-effectiveness, feasibility and delivery of a group-based lifestyle intervention in a Dutch outpatient treatment setting.

Trial registration

Dutch Trial Registration NL6660, registration date: 16 November 2017.

Keywords

Lifestyle Intervention Serious mental illness Cost-effectiveness Weight loss Cardiovascular risks Physical health FACT 

Abbreviations

BMI

body mass index

CEA

Cost-Effectiveness

FACT

Flexible Assertive Community Treatment

ICERs

Incremental Cost-Effectiveness ratios

PAM 13

patient activation measure 13

SF12

Short form 12

SMI

serious mental illness

SMILE

Serious Mental Illness Evaluation Lifestyle Evaluation

Background

People with a serious mental illness (SMI) have an estimated reduced life expectancy of 11–25 years in comparison to the general population [1, 2, 3] This reduced life expectancy is primarily caused by cardiovascular disease [4]. The high risk of cardiovascular disease within this population is mainly due to unhealthy lifestyle behaviour, in combination with the use of antipsychotic medication. People with SMI are more likely to suffer from obesity, hypertension, diabetes and dyslipidaemia [4, 5]. Obesity in particular has been associated with limited physical activity, an unhealthy diet and medication side effects in people with SMI [4]. People with SMI also have less access to healthcare and receive insufficient monitoring and therapy for cardiovascular risks [4, 5, 6, 7, 8].

In 2014, the NICE U.K. guidelines of prevention and management of psychosis and schizophrenia in adults were updated [9]. These guidelines recommend that cardiovascular risks should be regularly monitored and healthy eating and physical activity programs should be offered to people taking antipsychotics [9]. In 2015, the multidisciplinary Dutch guidelines for lifestyle and somatic screening in persons with SMI were published to stress the importance of physical health and a healthy lifestyle in persons with SMI [10]. These guidelines likewise mention the significance of lifestyle interventions in daily care in order to reduce somatic health problems in this population.

Even though some studies show mixed results, research indicates that lifestyle interventions might be effective in stimulating healthier lifestyle in people with SMI [11, 12, 13]. The STRIDE study - conducted in a community setting in the U.S. - examined a 12-month lifestyle program designed to promote weight loss and reduce cardiovascular risks in people with SMI taking anti-psychotic medication through a healthy diet and increased physical activity [14]. The STRIDE program improved weight, fasting glucose and health-related self-efficacy [15, 16].

It is possible that mental health care workers currently lack sufficient knowledge, techniques and resources to address healthy lifestyle change in order to follow these guidelines in busy and demanding daily practice. Therefore, health care practice needs an innovative approach that is practically feasible for mental health care workers and effectively stimulates healthy lifestyle behaviours among people with SMI.

In the Netherlands, the majority of people with SMI who are living at home receive treatment by Flexible Assertive Community Treatment (FACT) teams. Care from FACT-teams includes illness management, symptom treatment, guidance and practical assistance in daily living, rehabilitation and recovery support [17, 18]. There is little research available regarding an effective lifestyle intervention implemented in Dutch psychiatric ambulatory service. It is unknown whether a lifestyle intervention would be feasible, effective and cost-effective within FACT-team regular care and could effectively contribute to lifestyle changes in this population. Therefore, this study will aim to evaluate the effectiveness and cost-effectiveness of a lifestyle intervention in persons with SMI in Dutch FACT-teams in comparison to usual care; the SMILE (Serious Mental Illness Lifestyle Evaluation) study.

Methods

Study design

We will perform a pragmatic multi-centre cluster randomized controlled trial including an economic evaluation from a societal perspective. Follow-up will be 1 year.

Setting

We will recruit approximately 18 FACT-teams from different mental health care organisations throughout different regions in the Netherlands. To recruit these FACT-teams, we will approach several teams with brief information about the study. If a FACT-team is interested in the study, research staff will provide a presentation for all the members of the FACT-team. Based on this presentation, teams will decide if they are interested in joining the study or not. All FACT-teams will have be certified as “FACT” by the Certification Center ACT and FACT at the beginning of the study.

Participants

The study population will consist of adult people with SMI, age ≥ 18, a body mass index ≥27, treated by FACT-teams, who in addition are able and willing to participate in the intervention and sign informed consent. A potential participant who meets any of the following criteria will be excluded from participation: contra-indications (to be assessed by the coordinating mental health professional or treating physician) for participation due to acute psychiatric crisis or somatic disease (e.g. bariatric surgery, cancer, heart attack or stroke); individuals with cognitive impairment sufficient to interfere with their ability to provide informed consent, complete study questionnaires, or participate in a group intervention; women who are pregnant, breastfeeding or planning for a pregnancy during the course of the study; participants who are not able to communicate in the Dutch language. All participants will receive 10 Euros for each of the measurements performed at baseline, 6 months and twelve months.

Randomisation

FACT-teams will be randomly allocated to serve as intervention (where the SMILE lifestyle intervention will be given) or control FACT-teams (where care as usual will be continued). Cluster-randomization will be applied in order to avoid contamination between the intervention and control groups. Randomisation will be performed on the level of mental health care centres to optimize the comparability between FACT-teams in order to reduce bias. Randomisation will be performed by a statistician otherwise not involved in the study. All measurement assessments will be performed by trained research assistants and trained mental healthcare staff from the corresponding mental health care centre. They will use the same standardised protocols for all measurements. Blinding of health care workers from FACT-teams and participants is not possible due to the nature of the intervention.

Recruitment

To recruit eligible participants, all FACT-teams make a list of potentially eligible participants. The list will be assessed by the coordinating mental health professional for any contra-indications. Potential participants will be approached by the mental healthcare staff from the corresponding FACT-team with information about the study. Before the first measurements take place, the participant will be asked to sign informed consent. An overview of the study design and patient flow is presented in Fig. 1.
Fig. 1

Overview of the study design and participant flow

Intervention

The SMILE intervention is primarily modelled after the STRIDE intervention developed by Green et al. [15]. The STRIDE lifestyle intervention is modified for persons with SMI and is based on the PREMIER lifestyle intervention with the DASH (Dietary Approaches to Stop Hypertension) dietary pattern (18–24), both developed for people without mental illnesses. It incorporates behaviour change theories such as the trans theoretical model [19, 20] and motivational theory [21, 22, 23]. The SMILE intervention primarily aims at a healthy diet and increased physical activity. The intervention will be given by trained mental health care workers.

The intervention will last 12 months and consists of an initial intervention (first 6 months) and a maintenance phase (second 6 months).

Initial intervention

During the first phase, participants will follow weekly 2-h group sessions during the first 6 months. In the group sessions major focus is on topics such as nutrition, increased (moderate) physical activity and lifestyle changes. Topics such as sleep, stress, effects of mental health on behavioural life-style changes, effect of medication use on weight gain, influence of the social environment on life-style behaviour, self-monitoring and goal setting concerning life-style activities are integrated within the program. In each session, participants make their own personal goals, thus tailoring the intervention to the needs, possibilities and motivation of the participant. Contacts will be collaborative, discussing lifestyle change efforts, with guided problem solving. Thirty minutes of the 2-h group sessions will be spent on a physical exercise activity. For each session group leaders will use the SMILE protocol handbook, which describes the content of the intervention.

Maintenance phase

The maintenance phase includes 6 months of group sessions, with monthly 2-h group sessions focusing on maintaining weight loss. Sessions will be supplemented with monthly individual telephone sessions and/or email contact with group leaders.

Adherence

Intervention group sessions not attended (no-shows) will be assessed by the staff of the according FACT-team. Researchers will visit group sessions of all participating teams in order to improve adherence to the intervention.

Usual care

Mental health care workers from FACT-teams in the control group will not receive any training. They will provide care as usual.

Training of mental health care workers

The mental health care workers from the FACT-teams randomised to the intervention group will follow a two-day training. At least two mental health workers of each team will receive the training. They will function as role models for their colleagues within the FACT-team on the subject of lifestyle for persons with SMI and will be the group leaders of the group sessions. The training will consist of: (a) consequences of an unhealthy lifestyle including determinants of increased weight and cardiovascular risks for persons with SMI and medication side effects, (b) elements of motivational interviewing and (c) components of the lifestyle intervention (including contents of group sessions, nutrition components and physical activity guidelines), and (d) a workshop in which different group sessions are rehearsed and reviewed. In addition, attention is given on how to inform and motivate potential participants in joining the lifestyle intervention. The training will be set up and given by two highly experienced trainers with ample expertise on the subject of lifestyle within mental health care and more specifically in FACT-teams. FACT-teams can decide which health care workers will be trained for the intervention. This is done to promote a bigger resemblance to general care and enhance the generalisability of the study.

Demographics

Demographic data (age, gender, ethnicity, marital status, education level, employment status, diagnosis of SMI, number of years receiving mental care in FACT-team) will be collected directly from the patient records or patient reports.

Main study outcomes

Primary outcome

The primary outcome is weight loss (kg). Body weight will be measured with participants wearing light clothing (i.e. with empty pockets, no belt) and no shoes or jackets to the nearest 0.1 kg. All assessors of each FACT-team will use the same provided digital scale (Beurer GS210).

Clinical outcomes

Secondary clinical outcomes include body mass index (kg/m2), waist circumference (cm), lipid profiles (LDL, HDL, total cholesterol, triglycerides), glucose metabolism (serum and fasting glucose), and systolic and diastolic blood pressure. All clinical outcomes will be measured by trained mental health professional staff or trained research staff.

Patient reports

Quality of life will be measured using the Dutch version of the Short Form-12 (SF-12) and the EuroQol (EQ-5D-5 L). The SF-12 is a generic, reliable and validated instrument, containing 12 items derived from the Short Form-36 questionnaire [24]. The physical and mental component summary scores of the SF-12 will be used. Dutch age- and sex-standardized population norms are available [25]. Additionally, the EQ-5D-5 L scores will be used to compute quality adjusted life years (QALYs) and valuing health [26]. The EQ-5D-5 L rates self-care, mobility, pain, psychological functioning (anxiety/ depression), and usual activities on a 5-point scale. The EQ-5D-5 L health states will be converted into utility scores using the Dutch tariff [27]. QALYs will be calculated using linear interpolation between measurement points. Using the area under the curve method, QALYs were calculated by multiplying the amount of time a patient spent in a specific health state with the utility score associated with that health state. Transitions between health states will be linearly interpolated. Smoking status is based on self-report; patients will be asked if they are current smokers and, if so, how many cigarettes they smoked in the last 7 days. Additionally, at 6 months and 12 months follow-up measurements patients who mentioned to be current smokers will be asked if they want to be referred to a smoking cessation program or another kind of help for smoking cessation (such as guidance by a caregiver or physician).

Health-related self-efficacy is measured by the Patient Activation Measure (PAM-13), a reliable questionnaire which contains 13 items derived from the original PAM-22 [28]. The questionnaire assesses the participants’ self-reported knowledge, skills and confidence for health-related self-efficacy. Satisfaction and personal view with respect to physical and mental health, nutrition status, physical activity status and sleep will be asked by giving a score from zero to ten concerning the past 2 weeks.

All questionnaires will be completed on paper or digitally (if participant is in the possession of a smartphone or internet). In case participants experience concentration or cognitive problems when filling in the questionnaires, participants will be helped by their case workers or assessors to support them. Staff and assessors will be instructed on how to support a participant in filling in questionnaires without influencing the answers.

Costs

For the economic evaluation a short questionnaire will be used based on the original TiC-P questionnaire (30). The questionnaire includes questions regarding health care utilization, work absenteeism and presenteeism. Additionally, information regarding medication use is derived from the pharmacy of the participant. The costs of the lifestyle program will be measured using a bottom-up approach.

Economic evaluation

Both a cost-effectiveness analysis (CEA) and a cost-utility analysis (CUA) will be performed from a societal perspective. Missing cost and effect data will be imputed using Multiple Imputation with Chained Equations (MICE) according to the MICE algorithm developed by Van Buuren [29]. In addition, incremental cost-effectiveness ratios (ICERs) will be calculated. Bias-corrected and accelerated bootstrapping with 5000 replications will be used to estimate statistical uncertainty surrounding the ICERs. Uncertainty surrounding ICERs will be graphically presented on cost-effectiveness planes.

A budget impact analysis (BIA) will be conducted from the perspective of health-care decision makers. Perspectives that will be considered are the societal and the government (Budget Kader Zorg) perspective. Different scenarios will be evaluated including the following: 1) the lifestyle intervention is not implemented, i.e., all patients receive usual care, 2) the intervention is offered to the whole patient population, 3) the intervention is implemented over a 4 years period (25% of the patient population per year), and 4) the intervention is only offered to specific subgroups of the potential patient population. One-way sensitivity analyses will be performed in which the adoption rate of the lifestyle intervention and the impact on long-term clinical outcomes will be varied.

Process evaluation

A process evaluation will be performed in order to identify barriers and facilitators of the SMILE program and experiences of FACT team members with the delivery of the training and intervention. This will be done by organizing focus groups and/or semi-structured interviews with both clients and trained mental health care workers. An overview of the SMILE measurements, instruments and data collection schedule is provided in Table 1.
Table 1

SMILE measurements, instruments and data collection schedule

 

Baseline

3 month

6 month

12 month

PRIMARY

Weight loss (kg)

x

X

x

x

CLINICAL OUTCOMES

BMI (kg/m2)

x

X

x

x

Waist circumference (cm)

x

X

x

x

Lipid profiles*

x

  

x

Glucose metabolism (mmol/l)

x

  

x

Systolic BP (mm/hg)

x

 

x

x

Diastolic BP (mm/hg)

x

 

x

x

PATIENT REPORTS

Quality of life (SF12 and EQ-5D-5 L)

x

 

x

x

Health related self-efficacy (PAM-13)

x

 

x

x

Self-reported views on physical activity, nutrition status and sleep

x

 

x

x

Smoking status

x

 

x

x

DEMOGRAPHICS

Age, gender, ethnicity

x

   

Education level

x

   

Marital status

x

  

x

Employment status

x

  

x

Diagnosis of SMI

x

   

Number of years receiving ambulatory mental care

x

   

COSTS

Health care utilization and lost productivity questionnaire

x

 

x

x

Medication use

x

 

x

x

OTHER

Compliance to group sessions

Weekly /monthly

*Lipid profiles include fasting cholesterol (HDL, LDL, total) and fasting triglycerides (mmol/l)

Sample size

This trial is powered to detect a mean difference of 4 kg in weight reduction after 1 year between the intervention and usual care group [15, 30]. Using a power of 0.80 and an alpha of 0.05, two groups of 100 participants are needed to detect a difference of 4 kg. Assuming an ICC of 0.01 and a dropout rate of 20% [15, 30, 31], we aim to recruit 260 participants in total.

Statistical analysis

Baseline demographic characteristics of the participants in the intervention and control group will be presented using descriptive statistics (mean (standard deviation), median (range) or (proportion)).

All analysis will be on an intention-to-treat basis. Multivariable analyses techniques will be used to correct for prognostic variables. To study the effectiveness of the lifestyle intervention versus usual care in reducing weight, linear mixed models will be used. We will examine between-group differences for various conceptualizations for the primary outcome weight, including percentage weight change, the proportions of people with SMI who lose at least 5 and 10% of their baseline weight. Also, linear and logistic mixed models (depending on the outcome) will be used to test the differences between both groups regarding the secondary clinical outcome parameters; waist circumference, lipids, blood pressure and glucose. Furthermore, we will examine whether there was an effect of the intervention on patient reported outcomes, including perceived health, quality of life and health related self-efficacy. For this purpose, we will also use linear mixed models. Next, we will evaluate whether dose, defined as the number of intervention sessions, is related to change in the outcomes across time among participants who receive the intervention.

Finally, in case of unequal distributions of demographic variables between the two treatment groups, multivariate analyses techniques will be used to correct for these differences.

Discussion

Research suggest lifestyle interventions can be effective in improving physical health of people with SMI. However, there is currently no evidence of cost-effectiveness regarding a lifestyle intervention for people with SMI in a Dutch outpatient setting. Because lifestyle interventions are typically intensive and include many group and individual sessions, the costs of these programs are substantial. Given the limited healthcare resources it is of utmost importance to evaluate whether the additional costs are worth the effects. Given the large number of persons with SMI and cardiovascular risks, and the associated high burden for the patient, family members and society, this study is a matter of urgency. This paper presents the design of a cluster randomized controlled trial to evaluate the effectiveness and cost-effectiveness of a lifestyle intervention for people with SMI in the Dutch outpatient psychiatric treatment setting.

The SMILE intervention is primarily modelled after the STRIDE intervention [14], developed for persons with SMI and effective in reducing weight and cardiovascular risk factors [15]. The SMILE intervention will be carried out by trained mental health nurses working in FACT-teams in the Netherlands. It is hypothesized that the SMILE intervention is more effective than usual care in reducing weight, reducing cardiovascular risk factors, improving quality of life. Although the costs of the intervention will be higher than usual care, these costs might be outweighed by lower costs of other healthcare utilization and increased productivity. This study has substantial societal value as it provides financing organizations and governments with better insights how to spend the available resources in the most efficient way.

A strength of the current study is its pragmatic design. A large number of studies, specifically randomised controlled trials, use highly controlled settings which could greatly differ from regular care. In the current study, the intervention is implemented by mental health care workers from FACT-teams in the current regular care situation, with the same available time, priorities, and motivation. This pragmatic design will enhance the generalizability of the study results and therefore the possibilities to implement the SMILE intervention in a real-life mental health care setting.

The intervention is based on motivational interviewing techniques and the behavior change theories. Both are very important in order to stimulate behaviour change [32, 33, 34]. As participants formulate their own personal goals each week, they can tailor their goals to their personal needs, capabilities and motivation at that moment. However, as Dutch and U.S. mental health care differ to a certain extent, the effect of the adapted STRIDE intervention may differ within Dutch mental health care. We believe that even though the characteristics of the healthcare system differ between countries, the core principles of behaviour change are the same in each country and the difference in characteristics is not likely to have a major impact on the results of this study.

A few adaptations of the STRIDE interventions were made in order to implement the study according to practical possibilities of current mental health care and to fit Dutch guidelines and food customs [35, 36]. One of the adaptations was that the SMILE study will focus less on calorie counting. Reducing calories and monitoring is one of the core intervention components of STRIDE. Calorie density of food products is still an important topic within the group sessions, but the counting of calories is less emphasized. Furthermore, group leaders will not be able to evaluate nutrition, physical activity and sleep journals of the participants for each group session. We chose not to implement this in the intervention, as this would be too time consuming for group leaders. Such evaluations will be integrated within the “check-in” part of the 2-h group session, where progress is discussed and evaluated.

Overall, the SMILE intervention for persons with SMI will provide important and relevant information on the effectiveness, cost-effectiveness, feasibility and delivery of a lifestyle intervention in a Dutch outpatient treatment setting. The first results of this study are expected in 2020.

Notes

Acknowledgements

The authors wish to thank Willemijn de Joode for her contribution to the study setup, Michiel de Boer and Trynke Hoekstra for their expertise in sample size calculations and statistical analysis contributions. Sonja van Hamersveld of Charly Green for her extensive contribution for the development of the training. Furthermore we want to thank Ronald van Gool, Wiepke Cahn, Cisca Goedhart, Vicky Mouthaan, Marc Vermaat, Barbara Stringer, Nienke van der Voort for their feedback on the study design.

Funding

This study was supported by a grant of the Netherlands Organization for Health Research and Development (ZonMW); grant number 80–84300–98-72012. The funder had no role in the design and conduct of the study, data collection, analysis and interpretation, decision to publish, or writing of the manuscript.

Availability of data and materials

This study will use a data-management infrastructure that meets current guidelines and regulations. After the main outcome and cost-effectiveness analysis have been published, all data will be freely available upon request.

Authors’ contributions

FSW participated in the design of the study and drafted the manuscript. MCA, MWvT and BvM developed the study, constructed the design and revised the manuscript. The final manuscript was read and approved by all authors.

Ethics approval and consent to participate

Design of the study was approved by the Medical Ethical Committee of the VU University Medical Centre in Amsterdam, the Netherlands (NL60315.029.17, registration number 2017.418) and all participating centres. Centres that are involved in the study are: GGZ Oost Brabant, Parnassia Groep, GGZ Centraal, GGZ inGeest, GGNet, Arkin, Antes and Altrecht. All participants have to sign inform consent before start of the study. Participants are informed that they can withdraw their consent at any time without and without negative consequences for their future care. Participants will be asked if they want to provide a reason for withdrawal. Mental healthcare workers can decide to withdraw a participant from the study for urgent medical reasons.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

References

  1. 1.
    Laursen TM, Wahlbeck K, Hallgren J, Westman J, Osby U, Alinaghizadeh H, Gissler M, Nordentoft M. Life expectancy and death by diseases of the circulatory system in patients with bipolar disorder or schizophrenia in the Nordic countries. PLoS One. 2013;8:e67133.CrossRefGoogle Scholar
  2. 2.
    Saha S, Chant D, McGrath J. A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Arch Gen Psychiatry. 2007;64:1123–31.CrossRefGoogle Scholar
  3. 3.
    Tiihonen J, Lonnqvist J, Wahlbeck K, Klaukka T, Niskanen L, Tanskanen A, Haukka J. 11-year follow-up of mortality in patients with schizophrenia: a population-based cohort study (FIN11 study). Lancet. 2009;374:620–7.CrossRefGoogle Scholar
  4. 4.
    HERT M, Correll CU, Bobes J, Cetkovich-Bakmas M, Cohen D, Asai I, Detraux J, Gautam S, MÖLLER HJ, Ndetei DM. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry. 2011;10:52–77.CrossRefGoogle Scholar
  5. 5.
    DEH M, Schreurs V, Vancampfort D, VANW R. Metabolic syndrome in people with schizophrenia: a review. World Psychiatry. 2009;8:15–22.CrossRefGoogle Scholar
  6. 6.
    Vancampfort D, Stubbs B, Mitchell AJ, De Hert M, Wampers M, Ward PB, Rosenbaum S, Correll CU. Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry. 2015;14:339–47.CrossRefGoogle Scholar
  7. 7.
    Ringen PA, Engh JA, Birkenaes AB, Dieset I, Andreassen OA. Increased mortality in schizophrenia due to cardiovascular disease–a non-systematic review of epidemiology, possible causes, and interventions. Frontiers in psychiatry. 2014;5:137.CrossRefGoogle Scholar
  8. 8.
    Smith DJ, Langan J, McLean G, Guthrie B, Mercer SW. Schizophrenia is associated with excess multiple physical-health comorbidities but low levels of recorded cardiovascular disease in primary care: cross-sectional study. BMJ Open. 2013;3:e002808.CrossRefGoogle Scholar
  9. 9.
    National Institute for Clinical Excellence. Psychosis and schizophrenia in adults: prevention and management. NICE guidelines 2014. [CG178].Google Scholar
  10. 10.
    van Meijel B: multidisciplinaire richtlijn Leefstijl bij patiënten met een ernstige psychische aandoening. Verpleegkundigen & Verzorgenden Nederland (V&VN) 2015, 2015.Google Scholar
  11. 11.
    Speyer H, Christian Brix Nørgaard H, Birk M, Karlsen M, Storch Jakobsen A, Pedersen K, Hjorthøj C, Pisinger C, Gluud C, Mors O. The CHANGE trial: no superiority of lifestyle coaching plus care coordination plus treatment as usual compared to treatment as usual alone in reducing risk of cardiovascular disease in adults with schizophrenia spectrum disorders and abdominal obesity. World Psychiatry. 2016;15:155–65.CrossRefGoogle Scholar
  12. 12.
    Naslund JA, Whiteman KL, McHugo GJ, Aschbrenner KA, Marsch LA, Bartels SJ. Lifestyle interventions for weight loss among overweight and obese adults with serious mental illness: a systematic review and meta-analysis. Gen Hosp Psychiatry. 2017;47:83–102.CrossRefGoogle Scholar
  13. 13.
    Osborn D, Burton A, Hunter R, Marston L, Atkins L, Barnes T, Blackburn R, Craig T, Gilbert H, Heinkel S, et al. Clinical and cost-effectiveness of an intervention for reducing cholesterol and cardiovascular risk for people with severe mental illness in English primary care: a cluster randomised controlled trial. Lancet Psychiatry. 2018.Google Scholar
  14. 14.
    Yarborough BJH, Leo MC, Stumbo S, Perrin NA, Green CA. STRIDE: a randomized trial of a lifestyle intervention to promote weight loss among individuals taking antipsychotic medications. BMC psychiatry. 2013;13:238.CrossRefGoogle Scholar
  15. 15.
    Green CA, Yarborough BJ, Leo MC, Yarborough MT, Stumbo SP, Janoff SL, Perrin NA, Nichols GA, Stevens VJ. The STRIDE weight loss and lifestyle intervention for individuals taking antipsychotic medications: a randomized trial. Am J Psychiatry. 2015;172:71–81.CrossRefGoogle Scholar
  16. 16.
    Yarborough BJH, Leo MC, Yarborough MT, Stumbo S, Janoff SL, Perrin NA, Green CA. Improvement in body image, perceived health, and health-related self-efficacy among people with serious mental illness: the STRIDE study. Psychiatr Serv. 2015;67:296–301.CrossRefGoogle Scholar
  17. 17.
    van Veldhuizen JR. FACT: a Dutch version of ACT. Community Ment Health J. 2007;43:421–33.CrossRefGoogle Scholar
  18. 18.
    Nugter MA, Engelsbel F, Bahler M, Keet R, van Veldhuizen R. Outcomes of FLEXIBLE assertive community treatment (FACT) implementation: a prospective real life study. Community Ment Health J. 2016;52:898–907.CrossRefGoogle Scholar
  19. 19.
    McGaghie WC, Watson DL, Tharp RG: Self-directed behavior: self-modification for personal adjustment. JSTOR; 1974.Google Scholar
  20. 20.
    Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12:38–48.CrossRefGoogle Scholar
  21. 21.
    Burke BL, Arkowitz H, Dunn C. The efficacy of motivational interviewing and its adaptations: what we know so far. Motivational interviewing: Preparing people for change. 2002;2:217–50.Google Scholar
  22. 22.
    Rollnick S, Mason P, Butler C: Health behavior change: a guide for practitioners. Elsevier Health Sciences; 1999.Google Scholar
  23. 23.
    Rollnick S, Miller WR. What is motivational interviewing? Behav Cogn Psychother. 1995;23:325–34.CrossRefGoogle Scholar
  24. 24.
    Ware JE Jr, Kosinski M, Keller SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34:220–33.CrossRefGoogle Scholar
  25. 25.
    Farivar SS, Liu H, Hays RD. Half standard deviation estimate of the minimally important difference in HRQOL scores? Expert review of pharmacoeconomics & outcomes research. 2004;4:515–23.CrossRefGoogle Scholar
  26. 26.
    Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.CrossRefGoogle Scholar
  27. 27.
    Versteegh M, M. Vermeulen K, M. A. A. Evers S, de Wit GA, Prenger R, Stolk EA: Dutch tariff for the five-level version of EQ-5D. Value Health 2016, 19:343–352.Google Scholar
  28. 28.
    Rademakers J, Nijman J, van der Hoek L, Heijmans M, Rijken M. Measuring patient activation in the Netherlands: translation and validation of the American short form patient activation measure (PAM13). BMC Public Health. 2012;12(1).Google Scholar
  29. 29.
    Buuren Sv G-OK. Mice: multivariate imputation by chained equations in R. J Stat Softw. 2010:1–68.Google Scholar
  30. 30.
    Bartels SJ, Pratt SI, Aschbrenner KA, Barre LK, Naslund JA, Wolfe R, Xie H, McHugo GJ, Jimenez DE, Jue K, et al. Pragmatic replication trial of health promotion coaching for obesity in serious mental illness and maintenance of outcomes. Am J Psychiatry. 2015;172:344–52.CrossRefGoogle Scholar
  31. 31.
    Daumit GL, Dickerson FB, Wang NY, Dalcin A, Jerome GJ, Anderson CA, Young DR, Frick KD, Yu A, Gennusa JV 3rd, et al. A behavioral weight-loss intervention in persons with serious mental illness. N Engl J Med. 2013;368:1594–602.CrossRefGoogle Scholar
  32. 32.
    Prochaska JO. Transtheoretical model of behavior change. In: Encyclopedia of behavioral medicine, vol. 2013: Springer. p. 1997–2000.Google Scholar
  33. 33.
    Rubak S, Sandbaek A, Lauritzen T, Christensen B. Motivational interviewing: a systematic review and meta-analysis. Br J Gen Pract. 2005;55:305–12.PubMedPubMedCentralGoogle Scholar
  34. 34.
    Rollnick S, Allison, J, Ballasiotes S, Barth T, Butler CC, Rose GS, Rosengren D. Variations on a theme: motivational interviewing and its adaptations. Motivational interviewing: preparing people for change. Guilford Press New York. 2002; 270–283.Google Scholar
  35. 35.
    Brink L, Postma-Smeets A, Stafleu A, Wolvers D: Richtlijnen schijf van vijf. Voedingscentrum Nederland; 2016.Google Scholar
  36. 36.
    Gezondheidsraad. Beweegrichtlijnen 2017. vol. 2017/08. Den Haag: Gezondheidsraad; 2017.Google Scholar

Copyright information

© The Author(s). 2019

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.

Authors and Affiliations

  • Florine S. Walburg
    • 1
    Email author
  • Berno van Meijel
    • 2
    • 3
    • 4
    • 5
    • 6
  • Maurits W. van Tulder
    • 1
  • Marcel C. Adriaanse
    • 1
  1. 1.Department of Health Sciences and Amsterdam Public Health Research Institute, Faculty of ScienceVrije UniversiteitAmsterdamThe Netherlands
  2. 2.Department of PsychiatryUMC Amsterdam and Amsterdam Public Health research instituteAmsterdamThe Netherlands
  3. 3.Department of Health, Sports & Welfare, Cluster NursingInholland University of Applied SciencesAmsterdamThe Netherlands
  4. 4.Parnassia Psychiatric InstituteThe HagueThe Netherlands
  5. 5.GGZ-VS Academy for Masters in Advanced Nursing PracticeUtrechtThe Netherlands
  6. 6.GGZ inGeest Specialized Mental Health CareAmsterdamThe Netherlands

Personalised recommendations