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Tecla: a telephone- and text-message based telemedical concept for patients with severe mental health disorders – study protocol for a controlled, randomized, study

  • Ulrike Stentzel1Email author,
  • Hans-Jörgen Grabe2,
  • Lara Strobel2,
  • Peter Penndorf1,
  • Jens Langosch3,
  • Harald J. Freyberger2,
  • Wolfgang Hoffmann1 and
  • Neeltje van den Berg1
BMC Psychiatry201515:273

https://doi.org/10.1186/s12888-015-0659-7

Received: 30 September 2015

Accepted: 20 October 2015

Published: 4 November 2015

Abstract

Background

Severe mental disorders like psychotic disorders including schizophrenia and schizoaffective disorders have a 12-month-prevalence of 2.6, bipolar disorders of 1.5 % in Germany. The relapse risk is high; so many patients need intensive monitoring and lifelong treatment. A high medication adherence is essential for a successful treatment. But in practice, medication adherence is low and decreases over time. Telemedical care concepts might improve treatment and bridge gaps between in- and outpatient treatment.

A telemedical care concept based on regular telephone calls and short text messages was developed. The primary objective is to assess whether regular telephone calls and text messages can improve the medication adherence of patients. Secondary objectives are the reduction of rehospitalization rates, the improvement of quality of life and of the severity of symptoms.

Methods/design

The Tecla study (Post stationary telemedical care of patients with severe psychiatric disorders) is a two-armed prospective randomized controlled trial. The participants in the intervention group receive in addition to usual care regular telephone calls every 2 weeks and weekly text messages on patient-individual topics during a 6 months period. Patients in the control group receive only regular care. Inclusion criteria are a physician-diagnosed bipolar disorder, schizoaffective disorder or schizophrenia and a signed informed consent. Exclusion criteria are planned inpatient treatments within the next 6 months and being non-reachable by phone. After 3 and 6 months both groups receive follow up assessments.

Discussion

The primary objective of this study is the medication adherence that is measured with the Medication Adherence Report Scale, German version (MARS-D). The MARS-D is a self-report with five items. Adherent behaviour is mostly overestimated using self-reports. The strength of the MARS-D is to detect non-adherent behaviour. The original Medication Adherence Report Scale in English language (MARS-5) was developed to encourage the patient to answer truthfully to the questions that are asked in a non-threatening and non-judgmental way to minimize social desirability bias in admitting non-adherent behaviour.

Trial registration

This study is registered at 2015\05\21at the German Clinical Trials Register DRKS00008548.

Keywords

Mental health disorders Schizophrenia Psychotic disorders Bipolar disorders Telemedical care Telemedicine Telephone Text messages

Background

Epidemiology

Nineteen new schizophrenia-cases per 100,000 people per year are diagnosed in Germany [1]. Prevalence rates of mental disorders are high all over the world, also in Europe and Germany. The lifetime prevalence of schizophrenia worldwide is estimated as 1 % of the population. The 12-month-prevalence of schizophrenia and other psychotic disorders in the German population is about 2.6 %; the 12-month-prevalence of bipolar disorders about 1.5 % [2]. In Germany 2 to 4 % of the total health care costs are caused by schizophrenic disorders [1]. Mental disorders are associated with a high disease burden. People with current mental disorders have three times as much days of limitation than people without any mental disorder [2]. Worldwide, schizophrenia is one of the ten diseases with the highest number of years of life lived with disability (YLD) [1]. This also leads to high social costs [3] because mental disorders are the most common cause for early retirement, work losses and reduced work productivity [4]. The restricted participation in social and professional life often causes a severe reduction of quality of life [1].

Utilization and adherence

Treatment rates of mental disorders in general are low. The Study of Health in Pomerania (SHIP) [5] revealed a treatment rate for mental disorders of 20 % [6]. In the Mental Health Supplement of the German National Health Interview and Examination Survey (GHS-MHS) treatment rates for psychotic disorders (including schizophrenia) of 30.3 % of the cases and of 82.4 % for highly co-morbid cases were found. Patients with bipolar disorders received treatment in 42.2 % of the cases (62.4 % treatment in highly co-morbid cases) [7].

The diagnosis of schizophrenia implies in most cases a lifelong medical treatment. In the acute stages of schizophrenia, therapy is applied in the hospital. In this stage, drug therapy is essential to achieve a rapid and effective reduction of acute psychotic symptoms. After discharge from the hospital, adherence to medication is essential to avoid relapses. However, non-adherence is one of the major problems in patients with schizophrenia [8]. The proportion of adherent patients is 35–50 % in patients with schizophrenia and bipolar disorders [911]. In the outpatient setting, the adherence of patients taking atypical antipsychotics drops to 55 % after 12 months [12]. Non-adherence is associated with a higher risk of psychiatric hospitalizations [13]. Without drug therapy the relapse rate is about 70 % in the first year and about 80 % in the second year after starting drug treatment [1416]. With drug therapy the recurrence rate is significantly lower: about 30 % in the first year and about 50 % in the second year [1].

In total 93 % of the patients with schizophrenia in Germany are treated in outpatient psychotherapeutic facilities (e.g. practices, psychiatric walk-in clinics or day-care). Especially in rural regions, waiting lists are long. A survey among practicing psychotherapists in Germany showed that adult patients have to wait on average 1.9 months for an initial interview and 4.6 months for psychotherapy [17].

Telemedical care

Telemedical concepts have a potential to support the treatment of psychiatric patients and to provide new options in patient care. Several studies have evaluated the possibilities and limitations of telemedical care in the treatment of patients with schizophrenia. Salzer et al. [18] conducted a study with n = 32 schizophrenic patients consisting of brief weekly telephone-based interviews. The results showed that telephone interventions are acceptable and feasible. Because of the small study sample, these results were seen as preliminary data.

Leach and Christensen performed a systematic review about telephone-based interventions for patients with mental disorders (six in the area of depression, three of anxiety, three of eating disorders, one of substance abuse and one of schizophrenia). Although the included studies all had small simple sizes, they showed positive results [19].

Alvarez-Jimenez et al. conducted a systematic review examining the usability, acceptability, feasibility, safety or efficacy of user-led, internet- or mobile-based interventions with patients of the schizophrenia-disorders spectrum. Twelve studies were included. Patients mainly used the internet and mobile phone based interventions. The authors conclude that online, social media and mobile technologies were acceptable and feasible for patients [20].

Kasckow et al. summarized a systematic review including 18 studies with telephone-based, internet-based or video-based telehealth systems for patients with schizophrenia, that telephone, internet and video-interventions appears to be feasible [21].

Improving medication adherence using telemedical methods was discussed in several studies. In 2008 a randomized controlled trial was published that examined telephone intervention problem solving (TIPS) for patients with schizophrenia [22]. These telephone interventions were initiated weekly by telenurses and improved significantly the patient’s adherence to their psychiatric medication. Adherence was measured by pill counting and record review. The participants in the intervention showed an adherence of on average 80 %, while in control participants this rate was 60 %.

A study in Spain examined a telephone based strategy to improve adherence to antipsychotic treatment in schizophrenia. Nine hundred twenty-eight patients received a monthly telephone call by a nurse to assess therapeutic adherence and subjective attitude towards medication over a period of 4 months. Being adherent was defined as the intake of at least 60 % of the prescribed medication dose. Patients in the intervention group (n = 410) were significantly more adherent (OR = 3.3 95 % CI 1.6–6.6, P = 0.0001) than patients in the control group (n = 402) [23].

The study Mobile Assessment and Treatment for Schizophrenia (MATS) with 55 participating patients examined the use of mobile phone text messaging. 6 days a week individualized text messages were sent to the participants addressing the topics medication adherence, social activities and auditory hallucinations during the 12-week-intervention-period. Participants who were living independently achieved a significant improvement in medication adherence and benefited more than participants living in assisted living facilities. This is probably due to the fact, that the participants in assisted living facilities already have support and assistance in taking medications. This study was a pilot study without a control group [24].

Summarized, first studies with telemedicine concepts for patients with schizophrenia show positive results. However, evidence based on methodically sound studies with a sufficient number of participants is still limited.

The intention of Tecla study (Post stationary telemedical care of patients with severe psychiatric disorders) is to improve medical care for patients with severe mental disorders in Western-Pomerania/Germany using a telemedical intervention concept on the basis of regular, individualized telephone calls and text-messages.

Methods/design

The Tecla study

The outlined study Tecla is designed according to the SPIRIT Guidelines [25]. Tecla is a cooperation between the Institute for Community Medicine and the Department of Psychiatry and Psychotherapy, both University Medicine Greifswald, and the Bethanien Hospital for Psychiatry, Psychosomatics and Psychotherapy Greifswald gGmbH. An Integrated Telemedicine Centre is affiliated to the Institute for Community Medicine [2628].

The study region Western-Pomerania is located in the very northeast of Germany in the federal state of Mecklenburg-Western Pomerania. It is a sparsely populated rural region with 460,000 inhabitants. Both in- and outpatient psychiatric and psychotherapeutic facilities and walk-in clinics are mostly located in the larger towns of the region.

Research objectives

Primary objective of the Tecla Study is a better medication adherence after 6 months of additional telemedical treatment in the intervention group compared to a control group receiving usual care.

Secondary outcomes are a lower proportion of rehospitalized participants after 6 months, a longer time without unplanned rehospitalization, an improvement in quality of life and an improvement in the severity of the psychopathology.

Additionally, the acceptance of the telephone and text message interventions by the participants will be evaluated in the intervention group.

Study design

The Tecla study is a controlled randomized prospective intervention study. Participants are recruited shortly before their discharge from the psychiatric hospital after inpatient or combined inpatient/outpatient treatment. All participants receive a comprehensive baseline interview with a study-psychologist. After the baseline interview the participants are assigned at random to the intervention or control group. Participants in the intervention group receive phone calls every 2 weeks conducted by specially trained nurses as well as weekly individualized text messages additional to usual care. The duration of the intervention period is 6 months. The participants in the control group receive usual care. After baseline, a first follow-up assessment is conducted after 3 months. The final follow-up is conducted after 6 months. Both follow ups are conducted by telephone. The structure of the study is shown in a flow chart in Fig. 1.
Fig. 1

Flow chart of the study

Power/sample size

The sample size estimate was based on the medication adherence, measured as a score with the questionnaire MARS-D. Given an adherent behaviour in the intervention group of 80 % (corresponding to a mean score of 19) and a lower adherent behaviour in the control group of 60 % (corresponding to a mean score of 15) after 6 months, a total sample size of 128 is needed (standard deviation 8.0 for both, alpha = 0.05, power = 0.80). Assuming a lost to follow up about 50 %, we will include 190 patients to the study.

Recruitment and participants

Patients are recruited from three psychiatric hospitals in the region shortly before their discharge. The inclusion criteria are met if the patient is at least 18 years old, has a medical diagnosis in the field of bipolar disorders (ICD-10 F31), schizoaffective disorders (ICD-10 F25) or any form of schizophrenia (ICD-10 F20). Patients with already scheduled inpatient treatments within the next 6 months are excluded. In addition, patients can’t participate, if they are not reachable by phone. The study psychologist visits the participating hospital departments to inform the patients on site and invite them to participate in the study. All patients have to give written informed consent. Therein the patients declare consent to
  • be contacted by the study nurse over a period of 6 months by call and by text messages

  • to the scientific evaluation of the collected data in a pseudonymised form

  • to be possibly contacted again after the participation in the project to ascertain how further treatment is progressing

  • the use of further data (like data from hospital information systems about other in- or outpatient treatments or data of the statutory health insurance) in the evaluation.

Patients can withdraw their consent or parts of it anytime and without giving reasons. The withdrawal does not create disadvantages.

The recruitment phase of the project started February 2015.

Baseline and follow-up interviews

Shortly before their discharge from the hospital, all participants receive a baseline interview conducted on site by the study psychologist. The baseline interview consists of the assessment of personal data (name, address, telephone number, date of birth), diagnoses, medication, by the patients’ desired topics for the telephone calls and several standardized questionnaires covering the outcomes of the study. The diagnoses are taken from the medical record. In addition the Structured Clinical Interview for DSM-IV (SCID I) is performed, but only the specific sections about affective disorders and the sections about the psychotic disorders [29]. Topics for telephone calls selected from a list by the patient are medication, housing/living, work, finances, spare time, friends, family, partnership, everyday life, diseases and others.

The medication adherence is measured using the Medication Adherence Report Scale, German version (MARS-D) [30]. The MARS-D consists of five items, detecting non-adherent behaviour by self-report. It is known that patients tend to overestimate their adherence [3133] or to conceal non-adherent behaviour [30]. The MARS-5 (original Medication Adherence Report Scale in English language) was developed to take the frequency of non-adherent behaviour into account and to encourage the patient to answer truthfully to the questions that are asked in a non-threatening and non-judgmental way to minimize social desirability bias [34, 35].

The mental health status is measured by the Brief Psychiatric Rating Scale (BPRS). This instrument consists of 18 items to measure the severity of psychiatric symptoms [36, 37]. The Young Mania Rating Scale (YMRS) in German Language will be used for the assessment and quantification of manic symptoms [38].

Quality of life will be measured on the basis of the short version of the subjective instrument World Health Organization Quality of Life (WHOQOL-BREF), which is designed for generic use [39, 40].

The psychological, social and occupational function levels will be assessed by the Global Assessment of Functioning (GAF) on a scale from 1 to 100, intended as a hypothetical continuum of mental health (score 91–100) to illness (score 1–10) [41].

In the baseline interview the following issues will also be assessed in a standardized computer assisted personal interview:
  • Socio-demographic information

  • Side effects of medication according to a list of common side effects of psychotropic drugs

  • Social support (F-SozU, short form with 14 items) [42]

  • Short scale social desirability-gamma (KSE-G) [43]

  • Resilience scale (RS-11, short form with 11 items) [44]

  • Use of alcohol, drugs and smoking status [45, 46]

  • Childhood Trauma Questionnaire (CTQ) [47]

The 3- and 6-months-follow-ups will be conducted by telephone by the nurses of the telemedicine centre as a computer assisted personal interview. In both follow-ups, the MARS-D, WHOQOL-BREF, the side effects of medication, social support, social desirability, the resilience scale and furthermore, changes in medication and the utilization of in- and outpatient treatment will be assessed. The utilization of other treatments will be assessed by asking whether the participants have visited a general practitioner or other specialized physicians including psychotherapist/psychiatrists within the last three respectively 6 months and if so, how often. Also the number and duration of hospital stays are questioned. The GAF will be assessed only in the 6-months-follow-up.

In the 6-months-follow-up the participants in the intervention group will also be asked how they evaluate the intervention (Table 1).
Table 1

Interview questions and answers to assess acceptance and satisfaction of the participants

Question:

How would you assess the telephone and text messages contacts during the last 6 months?

Answer:

Very helpful – little helpful – not helpful – other (free text) – don’t know – no answer

Question:

Could you imagine continuing the telephone contacts in this form?

Answer:

Yes – No – don’t know – no answer

Question:

Do you think this kind of care can partly replace personal contacts with physicians or psychologists?

Answer:

Yes – No – don’t know – no answer

Question:

Is there something you would change or improve?

Answer:

Yes – No – don’t know – no answer and additional free text

Intervention

The intervention consists of telephone calls every 2 weeks and standardized weekly text messages, conducted by specially trained nurses in a telemedicine centre. Participants can send answers to the text messages or use this medium to contact the nurses. The intervals can be reduced if necessary. Additionally, the participants can contact the nurses within office hours. If appropriate, individualized text messages are being sent.

Each telephone call starts with a question about the health condition of the participants: How do you do feel today? What went well today or yesterday? Are there any problems? Afterwards the topics that were selected in the baseline interview are being discussed. These topics can be changed, if participants want to talk about other topics. After discussing the chosen topic, the participants should assess how well they performed on that topic and choose one of the following descriptions: “very well”, “well”, “satisfactory”, “deficient”, “inadequate”, “don’t know” and “no answer”.

This open conversation is followed by a standardized assessment of the following aspects:
  • Changes in medication

  • Side effects of the medication. The side-effects are being assessed with the descriptions “no side effects”, “little”, “moderately”, “strongly” and “very strong” for each of the following: movement disorders, muscle stiffness, involuntary shiver, motionlessness, muscle spasm, agonizing restlessness/problems to sit still (can’t be suppressed at will), lack of sexual desire/loss of libido, increase in weight, increased appetite, heavy feeling of illness/chills/fever and milk flow.

  • Medication intake. Assessment of adherence (e.g. forgetting to take drugs, arbitrary changes in dose or skipping doses).

  • Suicidal tendencies. The assessment of suicidal tendencies consists of asking for suicidal thoughts, concrete intentions and plans: are these thoughts imposing or conscious, talked to someone about, reduction of interpersonal contacts and interests and make contact to relatives or treating physician.

The intervention call ends with concluding remarks:
  • What are you taking with you from the call today?

  • Would you like to discuss another topic next time?

  • Would you like to ask me something or do you have another wish yet?

At the end, an appointment for the next call is made.

After each call, based on the information solicited, the nurses rate the health conditions of the participant on the basis of an adaption of the BPRS on a range from one (minimal manifestation) to ten (maximal manifestation) for each of the items: receptiveness/cooperation, concentration, ability of vibration, Strain/nervousness, hostility, distrust/paranoid thought content, uncooperative behaviour and unusual, bizarre thoughts of the patient.

The weekly text messages take up global themes such as “I wish a good start in the week.” Or individual messages such as “You wanted to go to a choir practice. Did you go and how was it?” The participants can answer and the nurses will response if necessary or appropriate.

Documentation, data storage, data security and data protection

The documentation of all data (baseline interview, documentation of the telephone calls and follow-up interviews) is conducted on the basis of eCRFs in an IT-supported documentation system [48]. The data is saved in a central project database. The storage is done according to the current standards for data security and data privacy [49]. These standards are documented in the institutional data protection concept of the Institute for Community Medicine and the telemedicine centre. Only the study psychologist and the nurses have access to personal data during the intervention phase. After completion the 6-month-follow-up, the data will be pseudonymised and identifying data will be separated from the project data and kept in the independent trustee’s office of the University Medicine Greifswald.

Ethics approval

The institutional ethics committee of the University Medicine Greifswald evaluated the study, design and instruments and testified the compliance with ethical requirements at 2015\01\27 (registration number BB 122/14).

Trial registration

The Tecla study is registered at 2015\05\21 at the German Clinical Trials Register (DRKS00008548).

Data analysis

Data analyses will be conducted in a strictly pseudonymised way. First, a descriptive analysis will be conducted. All outcomes will be analysed as a comparison between the groups at 3 and 6 months. Acceptance will be evaluated only in the intervention group.

Discussion

A previous study for patients with anxiety, depressive symptoms and somatization showed positive effects on the symptom scores for anxiety and depression [50]. Based on these results, the outlined study was initiated to improve the medical care for patients with severe mental disorders. In most cases a lifelong medical treatment is necessary, therefore, medication adherence is very important, but low in many cases [14-16]. Regular telephone calls and text messages might improve adherent behaviour. Medication adherence is measured with the self-report “Medication Adherence Report Scale”, German version (MARS-D) [30]. Self-reports inhere the risk of biased estimations. The original five item “Medication Adherence Report Scale” (MARS-5) was developed to minimize social desirability bias [34, 35]. Due to the risk of selective drop out, a challenging part of this study will be the performance of the follow-up examinations after 3 and 6 months, in particular with patients of the control group. Changing opinions, forgetting appointments for calls or rehospitalizations are probable reasons for lost to follow-up, especially in this patient group.

Abbreviations

BPRS: 

Brief Psychiatric Rating Scale

eCRF: 

electronic care report forms

F-SozU: 

Social support questionnaire

GAF: 

Global assessment functioning

GHS-MHS: 

Mental Health Supplement of the German National Health Interview and Examination Survey

KSE-G: 

Short scale social desirability-gamma questionnaire

MARS-5: 

Original Medication Adherence Report Scale in English language

MARS-D: 

Medication Adherence Report Scale, German version

MATS: 

Mobile Assessment and Treatment for Schizophrenia

RS-11: 

Resilience scale questionnaire

SHIP: 

Study of Health in Pomerania

TIPS: 

Telephone intervention problem solving

WHO: 

World Health Organization

WHOQOL: 

World Health Organization Quality of Life

YLD: 

Years of life lived with disability

YMRS: 

Young Mania Rating Scale

Declarations

Acknowledgments

This study is funded by the Damp Foundation (Damp Stiftung c/o NGEG mbH) after a peer review process. The Damp Foundation fosters medical research and teaching, social projects and the education of young professionals in the medical profession in the German federal states Schleswig-Holstein, Hamburg and Western-Pomerania.

We would like to thank the Department of General Practice and Health Services Research and Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg, Heidelberg, Germany for providing the German version of the Medication Adherence Rating Scale (MARS-D).

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’ Affiliations

(1)
Institute for Community Medicine, University Medicine Greifswald
(2)
Department of Psychiatry and Psychotherapy, University Medicine Greifswald
(3)
Bethanien Hospital for Psychiatry, Psychosomatics and Psychotherapy

References

  1. Gaebel W, Wölwer W. Schizophrenie. Berlin: Robert Koch Institut; 2010. http://www.rki.de/DE/Content/Gesundheitsmonitoring/Gesundheitsberichterstattung/GBEDownloadsT/Schizophrenie.pdf?__blob=publicationFile
  2. Jacobi F, Höfler M, Strehle J, Mack S, Gerschler A, Scholl L, et al. Mental disorders in the general population. Study on the health of adults in Germany and the additional module mental health (DEGS1-MH). Nervenarzt. 2014;85:77–87.View ArticlePubMedGoogle Scholar
  3. European Union. Green Paper - Improving the mental health of the population - Towards a strategy on mental health for the European Union. Brussels: European Communities; 2005. https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CCAQFjAAahUKEwiG5a2Ys_HIAhUEORQKHRkWBvo&url=http%3A%2F%2Fec.europa.eu%2Fhealth%2Fph_determinants%2FokaArcsl8r3uID7lyxCow8gw&bvm=bv.106379543,d.d24
  4. Meyer R. Psychische Erkrankungen in Europa – Lebenszeitrisiko mehr als 50 Prozent. 2006; Deutsches Ärzteblatt. 1: p. 25.Google Scholar
  5. Völzke H, Alte D, Schmidt C, Radke D, Lorbeer R, Friedrich N, et al. Cohort profile: the study of health in Pomerania. Int J Epidemiol. 2011;40(2):294–307.View ArticlePubMedGoogle Scholar
  6. Grabe HJ, Alte D, Adam C, Sauer S, John U, Freyberger HJ. Mental distress and the use of psychiatric and psychotherapeutic treatments services: results of the Study of Health in Pomerania [Article in German]. Psychiatr Prax. 2005;32(6):299–303.View ArticlePubMedGoogle Scholar
  7. Jacobi F, Wittchen HU, Hölting C, Höfler M, Pfister H, Müller N, et al. Prevalence, co-morbidity and correlates of mental disorders in the general population: results from the German Health Interview and Examination Survey (GHS). Psychol Med. 2004;34:597–611.View ArticlePubMedGoogle Scholar
  8. Kane JM. Review of Treatments That Can Ameliorate Nonadherence in Patients With Schizophrenia. J Clin Psychiatry. 2006;67(5):9–14.View ArticlePubMedGoogle Scholar
  9. Cramer J, Rosenheck R. Compliance with medication regimes for mental and physical disorder. Psychiatr Serv. 1998;49(2):196–201.View ArticlePubMedGoogle Scholar
  10. Barkhof E, Meijer CJ, de Sonneville LM, Linszen DH. Interventions to improve adherence to antipsychotic medication in patients with schizophrenia--a review of the past decade. Eur Psychiatry. 2012;27(1):9–18.View ArticlePubMedGoogle Scholar
  11. Lindenmayer JP, Liu-Seifert H, Kulkarni PM, Kinon BJ, Stauffer V, Edwards SE, et al. Medication Nonadherence and Treatment Outcome in Patients With Schizophrenia or Schizoaffective Disorder With Suboptimal Prior Response. J Clin Psychiatry. 2009;70(7):990–6.View ArticlePubMedGoogle Scholar
  12. Velligan DI, Lam F, Ereshefsky L, Miller AL. Perspectives on Medication Adherence and Atypical Antipsychotic Medications. Psychopharmacology. 2003;54(5):665–7.Google Scholar
  13. Ascher-Svanum H, Faries DE, Zhu B, Ernst FR, Swartz M, Swanson JW. Medication Adherence and Long-Term Functional Outcomes in the Treatment of Schizophrenia in Usual Care. J Clin Psychiatry. 2006;67(3):453–60.View ArticlePubMedGoogle Scholar
  14. Loebel A, Lieberman J, Alvir J. Time to treatment response in successive episodes of early onset schizophrenia. Schizophrenia. 1995;1–2:158.View ArticleGoogle Scholar
  15. Davis JM, Schaffer CB, Killian GA, Kinard C, Chan C. Important Issues in the Drug Treatment of Schizophrenia. Schizophr Bull. 1980;6(1):70–87.View ArticlePubMedGoogle Scholar
  16. Hogarty GE, Goldberg SC, Schooler NR. Drug and Sociotherapy in the Aftercare of Schizophrenic Patients - III. Adjustment of Nonrelapsed Patients. Arch Gen Psychiatry. 1974;31(5):609–18.View ArticlePubMedGoogle Scholar
  17. Schulz H, Barghaan D, Harfst T, Koch U. Psychotherapeutische Versorgung. Gesundheitsberichterstattung des Bundes. Berlin: Robert Koch Institut; 2008. https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CB4QFjAAahUKEwjnpeXktvHIAhWKtBQKHfAwD6c&url=http%3A%2F%2Fedoc.rki.de%2Fdocuments%2Frki_fv%2Fren4T3cctjHcA
  18. Salzer MS, Tunner T, Charney NJ. A low-cost, telephone intervention to enhance schizophrenia treatment: a demonstration study. Schizophr Res. 2004;66:75–6.View ArticlePubMedGoogle Scholar
  19. Leach LS, Christensen H. A systematic review of telephone-based interventions for mental disorders. J Telemed Telecare. 2006;12:122,129.View ArticleGoogle Scholar
  20. Alvarez-Jimenez M, Alcazar-Coroles MA, González-Blanch C, Bendall S, McGorry PD, Gleeson JF. Online, social media and mobile technologies for psychosis treatment: A systematic review on novel user-led interventions. Schizophr Res. 2014;156:96–106.View ArticlePubMedGoogle Scholar
  21. Kasckow J, Felmet K, Appelt C, Thompson R, Rotondi A, Haas G. Telepsychiatry in the Assessment of Treatment of Schizophrenia. Clin Schizophr Relat Psychoses. 2014;8(1):21–27A.PubMed CentralView ArticlePubMedGoogle Scholar
  22. Beebe LH, Smith K, Crye C, Addonizio C, Strunk DJ, Martin W, et al. Telenursing Intervention Increases Psychiatric Medication Adherence in Schizophrenia Outpatients. J Am Psychiatr Nurses Assoc. 2008;3(14):217–24.View ArticleGoogle Scholar
  23. Montes JM, Maurino J, Diez T, Saiz-Ruiz J. Telephone-based nursing strategy to improve adherence to antipsychotic treatment in schizophrenia: A controlled trial. Int J Psychiatry Clin Pract. 2010;14:274–81.View ArticlePubMedGoogle Scholar
  24. Granholm E, Ben-Zeev D, Link PC, Bradshaw KR, Holden JL. Mobile Assessment and Treatment for Schizophrenia (MATS): A Pilot Trail of An Interactive Text-Messaging Intervention for Medication Adherende, Socialization, and Auditory Hallucinations. Schizophr Bull. 2012;38(3):414–25.PubMed CentralView ArticlePubMedGoogle Scholar
  25. Chen AW, Tetzlaff JM, Gøtzsche PC, Altman DG, Mann H, Berlin JA, et al. SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials. BMJ. 2013;346:e7586.View ArticleGoogle Scholar
  26. Fendrich K, van den Berg N, Siewert U, Hoffmann W. Demographic change. Demands on the health care system and solutions using the example of Mecklenburg-Western Pomerania. Bundesgesundheitsbl. 2010;53:479–85.View ArticleGoogle Scholar
  27. Kraft M, van den Berg N, Kraft K, Schmekel S, Gärtner S, Krüger J, et al. Development of a telemedical monitoring concept for the care of malnourished geriatric home-dwelling patients: A pilot study. Maturitas. 2012;72:126–31.View ArticlePubMedGoogle Scholar
  28. van den Berg N, Grabe HJ, Freyberger HJ, Hoffmann W. A telephone- and text-message based telemedical care concept for patients with mental health disorders - study protocol for a randomized, controlled study design. BMC Psychiatry. 2011;11:30. p. 1–6.PubMed CentralView ArticlePubMedGoogle Scholar
  29. First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV (SCID-I). New York: Biometrics Research Departement, New York State Psychiatric Institute; 1995.Google Scholar
  30. Mahler C, Hermann K, Horne R, Ludt S, Haefeli WE. Assessing reported adherence to pharmacological treatment recommendations. Translation and evaluation of the Medication Adherence Report Scale (MARS) in Germany. J Eval Clin Pract. 2010;16(3):574–9.PubMedGoogle Scholar
  31. Kelin K, Lambert TJR, Brnabic JM, Newton R, Ye W, Escamilla RI, et al. Treatment discontinuation and clinical outcomes in the 1-year naturalistic treatment of patients with schizophrenia at risk of treatment nonadherence. Patient Prefer Adherence. 2011;5:213–22.PubMed CentralView ArticlePubMedGoogle Scholar
  32. Garber MC, Nau DP, Erickson SR, Aikens JE, Lawrence JB. The Concordance of Self-Report With Other Measures of Medication Adherence. Med Care. 2004;42:649–52.View ArticlePubMedGoogle Scholar
  33. DiMatteo MR. Variations in Patients’ Adherence to Medical Recommendations. Med Care. 2004;42:200–9.View ArticlePubMedGoogle Scholar
  34. Horne R, Weinmann J. Patients’ beliefs about medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res. 1999;47(6):555–67.View ArticlePubMedGoogle Scholar
  35. Haynes RB, Taylor DW, Sackett DL, Gibson E, Bernholz CD, Mukherjee J. Can simple clinical measurement detect patient noncompliance? Hypertension. 1980;2(6):757–64.View ArticlePubMedGoogle Scholar
  36. Overall JE, Gorham DR. The Brief Psychiatric Rating Scale. Psychol Rep. 1962;10:799–812.View ArticleGoogle Scholar
  37. Lukoff D, Nuechterlein KH, Ventura J. Maual for the BPRS. Schizophr Bull. 1986;12:594–604.Google Scholar
  38. Muehlbacher M, Egger C, Kaplan P, Simhandl C, Grunze H, Geretsegger C, et al. Relibilität und Übereinstimmungsvalidität der deutschen Version der Young Mania Rating Scale (YMRS-D). Neuropsychiatrie. 2011;25(1):1–10.Google Scholar
  39. Developement of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998;28(3):551–8. http://www.ncbi.nlm.nih.gov/pubmed/9626712
  40. Skevington SM, Lotfy M, O’Connell KA, WHOQOL Group. The World Organization’s WHOQOL-BREF quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group. Qual Life Res. 2004;13(2):299–310.View ArticlePubMedGoogle Scholar
  41. Jones SH, Thornicroft G, Coffey M, Dunn G. A brief mental health outcome scale-reliability and validity of the Global Assessment of Functioning (GAF). Br J Psychiatry. 1995;166(5):654–9.View ArticlePubMedGoogle Scholar
  42. Fydrich T, Sommer G, Tydecks S, Brähler E. Social Support Questionnaire (F-SouU): Standardization of short form (K-14). Z Med Psychol. 2009;18:43–8.Google Scholar
  43. Kemper CJ, Beierlein C, Bensch D, Kovaleva A, Rammstedt B. Eine Kurzskala zur ERfassung des Gamma-Faktors sozial erwünschten Antwortverhaltens: Die Kurzskala Soziale ERwünschtheit-Gamma (KSE-G). GESIS-Working Papers. 2012;25:1–27.Google Scholar
  44. Schumacher J, Leppert K, Gunzelmann T, Strauß B, Brähler E. Die Resilienzskala - Ein Fragebogen zur Erfassung der psychischen Widerstandsfähigkeit als Personmerkmal. Z f Klinische Psychologie, Psychiatrie ud Psychotherapie. 2004;10(1):1–26.Google Scholar
  45. John U, Greiner B, Hensel E, Lüdemann J, Piek M, Sauer S, et al. Study of Health in Pomerania (SHIP): a health examination survey in an east German region: objectives and design. Soz Praventivmed. 2001;46:186–96.View ArticlePubMedGoogle Scholar
  46. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. AUDIT - The Alcohol Use Disorders Identification Test; 2001.Google Scholar
  47. Bernstein DP, Fink L. Childhood Trauma Questionnaire: A retrospective self-report questionnaire and manual. 1998.Google Scholar
  48. Meyer J, Fredrich D, Piegsa J, Habes M, van den Berg N, Hoffmann W. A mobile and asynchronous electronic data capture system for epidemiologic studies. Comput Methods Prog Biomed. 2013;110:369–79.View ArticleGoogle Scholar
  49. Bialke M, Penndorf P, Wegner T, Bahls T, Havemann C, Piegsa J, et al. A workflow-driven approach to integrate generic software modules in a Trusted Third Party. J Transl Med. 2015;13(176):1–8.Google Scholar
  50. van den Berg N, Grabe HJ, Baumeister SE, Freyberger HJ, Hoffmann W. A Telephone- and Text Message-Based Telemedicine Concept for Paqtients with Mental Health Disorders: Results of a Randomized Controlled Trail. Psychotherapy and Psychosomatics. 2015;(84):82–89.View ArticlePubMedGoogle Scholar

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