Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse

Emily Eisner, Richard James Drake, Natalie Berry, Christine Barrowclough, Richard Emsley, Matthew Machin, Sandra Bucci, Emily Eisner, Richard James Drake, Natalie Berry, Christine Barrowclough, Richard Emsley, Matthew Machin, Sandra Bucci

Abstract

Background: Schizophrenia relapses are common, have profound, adverse consequences for patients and are costly to health services. Early signs interventions aim to use warning signs of deterioration to prevent full relapse. Such interventions show promise but could be further developed. This study addresses 2 developments: adding basic symptoms to checklists of conventional early signs and using a mobile phone app ExPRESS to aid early signs monitoring.

Objective: This study aimed to (1) design a pool of self-report items assessing basic symptoms (Basic Symptoms Checklist, BSC); (2) develop and beta test a mobile phone app (ExPRESS) for monitoring early signs, basic symptoms, and psychotic symptoms; and (3) evaluate the long-term acceptability of ExPRESS via qualitative feedback from participants in a 6-month feasibility study.

Methods: The BSC items and ExPRESS were developed and then adjusted following feedback from beta testers (n=5) with a schizophrenia diagnosis. Individuals (n=18) experiencing a relapse of schizophrenia within the past year were asked to use ExPRESS for 6 months to answer weekly questions about experiences of early signs, basic symptoms, and psychotic symptoms. At the end of follow-up, face-to-face qualitative interviews (n=16; 2 were uncontactable) explored experiences of using ExPRESS. The topic guide sought participants' views on the following a priori themes regarding app acceptability: item content, layout, and wording; app appearance; length and frequency of assessments; worries about app use; how app use fitted with participants' routines; and the app's extra features. Interview transcripts were analyzed using the framework method, which allows examination of both a priori and a posteriori themes, enabling unanticipated aspects of app use experiences to be explored.

Results: Participants' mean age was 38 years (range 22-57 years). Responses to a priori topics indicated that long-term use of ExPRESS was acceptable; small changes for future versions of ExPRESS were suggested. A posteriori themes gave further insight into individuals' experiences of using ExPRESS. Some reported finding it more accessible than visits from a clinician, as assessments were more frequent, more anonymous, and did not require the individual to explain their feelings in their own words. Nevertheless, barriers to app use (eg, unfamiliarity with smartphones) were also reported. Despite ExPRESS containing no overtly therapeutic components, some participants found that answering the weekly questions prompted self-reflection, which had therapeutic value for them.

Conclusions: This study suggests that apps are acceptable for long-term symptom monitoring by individuals with a schizophrenia diagnosis across a wide age range. If the potential benefits are understood, patients are generally willing and motivated to use a weekly symptom-monitoring app; most participants in this study were prepared to do so for more than 6 months.

Trial registration: ClinicalTrials.gov NCT03558529; https://ichgcp.net/clinical-trials-registry/NCT03558529 (Archived by WebCite at http://www.webcitation.org/70qvtRmZY).

Keywords: eHealth; mHealth; mental health; mobile health; psychotic disorders; recurrence; schizophrenia; telemedicine.

Conflict of interest statement

Conflicts of Interest: SB is a director of Affigo CIC, a not-for-profit social enterprise company spun out of the University of Manchester in December 2015 to enable access to social enterprise funding and to promote ClinTouch, a symptom-monitoring app, to the NHS and public sector.

©Emily Eisner, Richard James Drake, Natalie Berry, Christine Barrowclough, Richard Emsley, Matthew Machin, Sandra Bucci. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 29.03.2019.

Figures

Figure 1
Figure 1
Flow diagram of study design. BSC: Basic Symptom Checklist; SPI-A: Schizophrenia Proneness Instrument, Adult Version.
Figure 2
Figure 2
Screenshots of an example basic symptom item (left) and early signs item (right) displayed on the ExPRESS (Experiences of Psychosis Relapse: Early Subjective Signs) app.
Figure 3
Figure 3
Summary of a posteriori themes and subthemes.

References

    1. Robinson D, Woerner MG, Alvir JM, Bilder R, Goldman R, Geisler S, Koreen A, Sheitman B, Chakos M, Mayerhoff D, Lieberman JA. Predictors of relapse following response from a first episode of schizophrenia or schizoaffective disorder. Arch Gen Psychiatry. 1999 Mar;56(3):241–7.
    1. Alvarez-Jimenez M, Priede A, Hetrick SE, Bendall S, Killackey E, Parker AG, McGorry PD, Gleeson JF. Risk factors for relapse following treatment for first episode psychosis: a systematic review and meta-analysis of longitudinal studies. Schizophr Res. 2012 Aug;139(1-3):116–28. doi: 10.1016/j.schres.2012.05.007.
    1. Almond S, Knapp M, Francois C, Toumi M, Brugha T. Relapse in schizophrenia: costs, clinical outcomes and quality of life. Br J Psychiatry. 2004 Apr;184:346–51. doi: 10.1192/bjp.184.4.346.
    1. Andrew A, Knapp M, McCrone P, Parsonage M, Trachtenberg M. London School of Economics and Political Science. London: Rethink Mental Illness; 2012. [2018-07-12]. Effective interventions in Schizophrenia: The economic case .
    1. Wu EQ, Birnbaum HG, Shi L, Ball DE, Kessler RC, Moulis M, Aggarwal J. The economic burden of schizophrenia in the United States in 2002. J Clin Psychiatry. 2005 Sep;66(9):1122–9.
    1. Maclean C. University of Glasgow. Glasgow: 2008. [2018-07-12]. An interpretative phenomenological analysis of service users' perspectives and experiences of relapse in psychosis .
    1. Gumley A, Schwannauer M. Staying Well After Psychosis: A Cognitive Interpersonal Approach to Recovery and Relapse Prevention. Chichester: John Wiley and Sons; 2006.
    1. Wiersma D, Nienhuis FJ, Slooff CJ, Giel R. Natural course of schizophrenic disorders: a 15-year followup of a Dutch incidence cohort. Schizophr Bull. 1998;24(1):75–85.
    1. Appleby L. Suicide in psychiatric patients: risk and prevention. Br J Psychiatry. 1992 Dec;161:749–58. doi: 10.1192/bjp.161.6.749.
    1. Iqbal Z, Birchwood M, Chadwick P, Trower P. Cognitive approach to depression and suicidal thinking in psychosis. 2. Testing the validity of a social ranking model. Br J Psychiatry. 2000 Dec;177:522–8.
    1. Birchwood M, Iqbal Z, Chadwick P, Trower P. Cognitive approach to depression and suicidal thinking in psychosis. 1. Ontogeny of post-psychotic depression. Br J Psychiatry. 2000 Dec;177:516–21.
    1. Gumley A, O'Grady M, McNay L, Reilly J, Power K, Norrie J. Early intervention for relapse in schizophrenia: Results of a 12-month randomized controlled trial of cognitive behavioural therapy. Psychol Med. 2003;33(3):419–31.
    1. Herz MI, Lamberti JS, Mintz J, Scott R, O'Dell SP, McCartan L, Nix G. A program for relapse prevention in schizophrenia: a controlled study. Arch Gen Psychiatry. 2000 Mar;57(3):277–83.
    1. Lee SH, Choi TK, Suh S, Kim YW, Kim B, Lee E, Yook KH. Effectiveness of a psychosocial intervention for relapse prevention in patients with schizophrenia receiving risperidone via long-acting injection. Psychiatry Res. 2010 Feb 28;175(3):195–9. doi: 10.1016/j.psychres.2008.06.043.
    1. Eisner E, Drake R, Barrowclough C. Assessing early signs of relapse in psychosis: review and future directions. Clin Psychol Rev. 2013 Jul;33(5):637–53. doi: 10.1016/j.cpr.2013.04.001.
    1. Fusar-Poli P, Bonoldi I, Yung AR, Borgwardt S, Kempton MJ, Valmaggia L, Barale F, Caverzasi E, McGuire P. Predicting psychosis: meta-analysis of transition outcomes in individuals at high clinical risk. Arch Gen Psychiatry. 2012 Mar;69(3):220–9. doi: 10.1001/archgenpsychiatry.2011.1472.
    1. Schultze-Lutter F, Klosterkötter J, Picker H, Steinmeyer E, Ruhrmann S. Predicting first-episode psychosis by basic symptom criteria. Clin Neuropsychiatry. 2007 Feb;4(1):11–22.
    1. Bechdolf A, Schultze-Lutter F, Klosterkötter J. Self-experienced vulnerability, prodromal symptoms and coping strategies preceding schizophrenic and depressive relapses. Eur Psychiatry. 2002 Nov;17(7):384–93.
    1. Eisner E, Drake R, Lobban F, Bucci S, Emsley R, Barrowclough C. Comparing early signs and basic symptoms as methods for predicting psychotic relapse in clinical practice. Schizophr Res. 2018 Feb;192:124–130. doi: 10.1016/j.schres.2017.04.050.
    1. Schultze-Lutter F, Schimmelmann Bg. Early detection and treatment of psychosis: the Bern child and adolescent psychiatric perspective. Adv Psychiatry. 2014 Sep;2014:1–16. doi: 10.1155/2014/365283.
    1. Gaebel W, Riesbeck M. Are there clinically useful predictors and early warning signs for pending relapse? Schizophr Res. 2014 Feb;152(2-3):469–77. doi: 10.1016/j.schres.2013.08.003.
    1. Gaebel W, Riesbeck M. Revisiting the relapse predictive validity of prodromal symptoms in schizophrenia. Schizophr Res. 2007 Sep;95(1-3):19–29. doi: 10.1016/j.schres.2007.06.016.
    1. Tait A, McNay L, Gumley A, O'Grady M. The development and implementation of an individualised early signs monitoring system in the prediction of relapse in schizophrenia. J Ment Health. 2009 Jul 06;11(2):141–53. doi: 10.1080/096382301200041551.
    1. Španiel F, Hrdlička J, Novák T, Kožený J, Höschl C, Mohr P, Motlová LB. Effectiveness of the information technology-aided program of relapse prevention in schizophrenia (ITAREPS): a randomized, controlled, double-blind study. J Psychiatr Pract. 2012 Jul;18(4):269–80. doi: 10.1097/01.pra.0000416017.45591.c1.
    1. Ben-Zeev D, Kaiser SM, Brenner CJ, Begale M, Duffecy J, Mohr DC. Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia. Psychiatr Rehabil J. 2013 Dec;36(4):289–96. doi: 10.1037/prj0000019.
    1. Palmier-Claus JE, Ainsworth J, Machin M, Barrowclough C, Dunn G, Barkus E, Rogers A, Wykes T, Kapur S, Buchan I, Salter E, Lewis SW. The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application. BMC Psychiatry. 2012;12:172. doi: 10.1186/1471-244X-12-172.
    1. Ainsworth J, Palmier-Claus JE, Machin M, Barrowclough C, Dunn G, Rogers A, Buchan I, Barkus E, Kapur S, Wykes T, Hopkins RS, Lewis S. A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations. J Med Internet Res. 2013;15(4):e60. doi: 10.2196/jmir.2328.
    1. Bucci S, Barrowclough C, Ainsworth J, Machin M, Morris R, Berry K, Emsley R, Lewis S, Edge D, Buchan I, Haddock G. Actissist: proof-of-concept trial of a theory-driven digital intervention for psychosis. Schizophr Bull. 2018 Mar 16;44(5):1070–80. doi: 10.1093/schbul/sby032.
    1. Ben-Zeev D, Brenner CJ, Begale M, Duffecy J, Mohr DC, Mueser KT. Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophr Bull. 2014 Nov;40(6):1244–53. doi: 10.1093/schbul/sbu033.
    1. Meyer N, Kerz M, Folarin A, Joyce DW, Jackson R, Karr C, Dobson R, MacCabe J. Capturing rest-activity profiles in Schizophrenia using wearable and mobile technologies: development, implementation, feasibility, and acceptability of a remote monitoring platform. JMIR Mhealth Uhealth. 2018 Oct 30;6(10):e188. doi: 10.2196/mhealth.8292.
    1. Ben-Zeev D, Brian R, Wang R, Wang W, Campbell AT, Aung MS, Merrill M, Tseng VW, Choudhury T, Hauser M, Kane JM, Scherer EA. CrossCheck: integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse. Psychiatr Rehabil J. 2017 Sep;40(3):266–275. doi: 10.1037/prj0000243.
    1. Barnett I, Torous J, Staples P, Sandoval L, Keshavan M, Onnela J. Relapse prediction in schizophrenia through digital phenotyping: a pilot study. Neuropsychopharmacology. 2018 Jul;43(8):1660–6. doi: 10.1038/s41386-018-0030-z.
    1. Kumar D, Tully LM, Iosif A, Zakskorn LN, Nye KE, Zia A, Niendam TA. A mobile health platform for clinical monitoring in early psychosis: implementation in community-based outpatient early psychosis care. JMIR Ment Health. 2018 Feb 27;5(1):e15. doi: 10.2196/mental.8551.
    1. Niendam TA, Tully LM, Iosif A, Kumar D, Nye KE, Denton JC, Zakskorn LN, Fedechko TL, Pierce KM. Enhancing early psychosis treatment using smartphone technology: a longitudinal feasibility and validity study. J Psychiatr Res. 2018 Jan;96:239–46. doi: 10.1016/j.jpsychires.2017.10.017.
    1. Kim S, Lee G, Yu H, Jung E, Lee J, Kim S, Kim J, Shin I, Yoon J. Development and feasibility of smartphone application for cognitive-behavioural case management of individuals with early psychosis. Early Interv Psychiatry. 2017 May 18;12(6):1087–93. doi: 10.1111/eip.12418.
    1. Palmier-Claus JE, Rogers A, Ainsworth J, Machin M, Barrowclough C, Laverty L, Barkus E, Kapur S, Wykes T, Lewis SW. Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study. BMC Psychiatry. 2013;13:34. doi: 10.1186/1471-244X-13-34.
    1. Forchuk C, Reiss JP, O'Regan T, Ethridge P, Donelle L, Rudnick A. Client perceptions of the mental health engagement network: a qualitative analysis of an electronic personal health record. BMC Psychiatry. 2015 Oct 14;15:250. doi: 10.1186/s12888-015-0614-7.
    1. Aref-Adib G, O'Hanlon P, Fullarton K, Morant N, Sommerlad A, Johnson S, Osborn D. A qualitative study of online mental health information seeking behaviour by those with psychosis. BMC Psychiatry. 2016 Jul;16:232. doi: 10.1186/s12888-016-0952-0.
    1. Huerta-Ramos E, Escobar-Villegas MS, Rubinstein K, Unoka ZS, Grasa E, Hospedales M, Jääskeläinen E, Rubio-Abadal E, Caspi A, Bitter I, Berdun J, Seppälä J, Ochoa S, Fazekas K, M-RESIST Group. Corripio I, Usall J. Measuring users' receptivity toward an integral intervention model based on mHealth solutions for patients with treatment-resistant schizophrenia (m-RESIST): a qualitative study. JMIR Mhealth Uhealth. 2016 Sep 28;4(3):e112. doi: 10.2196/mhealth.5716.
    1. McClelland GT, Fitzgerald M. A participatory mobile application (app) development project with mental health service users and clinicians. Health Educ J. 2018 Jun 05;:001789691877379. doi: 10.1177/0017896918773790.
    1. Bucci S, Morris R, Berry K, Berry N, Haddock G, Barrowclough C, Lewis S, Edge D. Early psychosis service user views on digital technology: qualitative analysis. JMIR Ment Health. 2018 Oct 31;5(4):e10091. doi: 10.2196/10091.
    1. Yardley L, Morrison L, Bradbury K, Muller I. The person-based approach to intervention development: application to digital health-related behavior change interventions. J Med Internet Res. 2015;17(1):e30. doi: 10.2196/jmir.4055.
    1. Bhugra D, Tasman A, Pathare S, Priebe S, Smith S, Torous J, Arbuckle MR, Langford A, Alarcón RD, Chiu HF, First MB, Kay J, Sunkel C, Thapar A, Udomratn P, Baingana FK, Kestel D, Ng RMK, Patel A, Picker LD, McKenzie KJ, Moussaoui D, Muijen M, Bartlett P, Davison S, Exworthy T, Loza N, Rose D, Torales J, Brown M, Christensen H, Firth J, Keshavan M, Li A, Onnela J, Wykes T, Elkholy H, Kalra G, Lovett KF, Travis MJ, Ventriglio A. The WPA-Lancet Psychiatry Commission on the future of psychiatry. Lancet Psychiatry. 2017 Oct;4(10):775–818. doi: 10.1016/S2215-0366(17)30333-4.
    1. Biagianti B, Hidalgo-Mazzei D, Meyer N. Developing digital interventions for people living with serious mental illness: perspectives from three mHealth studies. Evid Based Ment Health. 2017 Nov;20(4):98–101. doi: 10.1136/eb-2017-102765.
    1. Killikelly C, He Z, Reeder C, Wykes T. Improving adherence to web-based and mobile technologies for people with psychosis: systematic review of new potential predictors of adherence. JMIR Mhealth Uhealth. 2017 Jul 20;5(7):e94. doi: 10.2196/mhealth.7088.
    1. Berry N, Lobban F, Emsley R, Bucci S. Acceptability of interventions delivered online and through mobile phones for people who experience severe mental health problems: a systematic review. J Med Internet Res. 2016 May 31;18(5):e121. doi: 10.2196/jmir.5250.
    1. Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013 Sep 18;13:117. doi: 10.1186/1471-2288-13-117.
    1. Schultze-Lutter F, Addington J, Ruhrmann S, Klosterkötter J. Schizophrenia Proneness Instrument: Adult Version (SPI-A) Rome, Italy: Giovanni Fioriti Editore; 2007.
    1. Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. 1987;13(2):261–76.
    1. Addington D, Addington J, Schissel B. A depression rating scale for schizophrenics. Schizophr Res. 1990;3(4):247–51.
    1. Birchwood M, Smith J, Macmillan F, Hogg B, Prasad R, Harvey C, Bering S. Predicting relapse in schizophrenia: the development and implementation of an early signs monitoring system using patients and families as observers, a preliminary investigation. Psychol Med. 1989 Aug;19(3):649–56.
    1. Gumley AI, MacBeth A, Reilly JD, O'Grady M, White RG, McLeod H, Schwannauer M, Power KG. Fear of recurrence: results of a randomized trial of relapse detection in schizophrenia. Br J Clin Psychol. 2015 Mar;54(1):49–62. doi: 10.1111/bjc.12060.
    1. Eisner E, Drake RJ, Berry N, Barrowclough C, Bucci S, Emsley R. [2018-07-12]. Feasibility and Acceptability of a Smartphone App to Assess Early Warning Signs of Psychosis Relapse .
    1. First MB, Spitzer RL, Williams JB. Structured Clinical Interview for DSM-IV Axis I Disorders, Clinician Version (SCID-CV) Washington, DC: American Psychiatric Press, Inc; 1996.
    1. Tait L, Birchwood M, Trower P. Adapting to the challenge of psychosis: personal resilience and the use of sealing-over (avoidant) coping strategies. Br J Psychiatry. 2004 Nov;185:410–5. doi: 10.1192/bjp.185.5.410.
    1. Ajzen I, Fishbein M. Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychol Bull. 1977;84(5):888–918. doi: 10.1037/0033-2909.84.5.888.
    1. Brown GW, Birley JL. Crises and life changes and the onset of schizophrenia. J Health Soc Behav. 1968 Sep;9(3):203–14.
    1. Ventura J, Nuechterlein KH, Lukoff D, Hardesty JP. A prospective study of stressful life events and schizophrenic relapse. J Abnorm Psychol. 1989 Nov;98(4):407–11.
    1. Birchwood M, Spencer E, McGovern D. Schizophrenia: early warning signs. Adv Psychiatr Treat. 2018 Jan 02;6(2):93–101. doi: 10.1192/apt.6.2.93.
    1. Berry N, Bucci S, Lobban F. Use of the internet and mobile phones for self-management of severe mental health problems: qualitative study of staff views. JMIR Ment Health. 2017 Nov 01;4(4):e52. doi: 10.2196/mental.8311.
    1. Hetrick SE, Robinson J, Burge E, Blandon R, Mobilio B, Rice SM, Simmons MB, Alvarez-Jimenez M, Goodrich S, Davey CG. Youth codesign of a mobile phone app to facilitate self-monitoring and management of mood symptoms in young people with major depression, suicidal ideation, and self-harm. JMIR Ment Health. 2018 Jan 23;5(1):e9. doi: 10.2196/mental.9041.
    1. Saunders KE, Bilderbeck AC, Panchal P, Atkinson LZ, Geddes JR, Goodwin GM. Experiences of remote mood and activity monitoring in bipolar disorder: a qualitative study. Eur Psychiatry. 2017 Mar;41:115–121. doi: 10.1016/j.eurpsy.2016.11.005.
    1. Nicholas J, Proudfoot J, Parker G, Gillis I, Burckhardt R, Manicavasagar V, Smith M. The ins and outs of an online bipolar education program: a study of program attrition. J Med Internet Res. 2010;12(5):e57. doi: 10.2196/jmir.1450.
    1. Proudfoot J, Parker G, Manicavasagar V, Hadzi-Pavlovic D, Whitton A, Nicholas J, Smith M, Burckhardt R. Effects of adjunctive peer support on perceptions of illness control and understanding in an online psychoeducation program for bipolar disorder: a randomised controlled trial. J Affect Disord. 2012 Dec 15;142(1-3):98–105. doi: 10.1016/j.jad.2012.04.007.
    1. Simon GE, Ludman EJ, Goodale LC, Dykstra DM, Stone E, Cutsogeorge D, Operskalski B, Savarino J, Pabiniak C. An online recovery plan program: can peer coaching increase participation? Psychiatr Serv. 2011 Jun;62(6):666–9. doi: 10.1176/appi.ps.62.6.666.
    1. Bjerke TN, Kummervold PE, Christiansen EK, Hjortdahl P. “It Made Me Feel Connected”—an exploratory study on the use of mobile SMS in follow-up care for substance abusers. Journal of Addictions Nursing. 2008;19(4):195–200. doi: 10.1080/10884600802504735.
    1. Baker AL, Turner A, Beck A, Berry K, Haddock G, Kelly PJ, Bucci S. Telephone-delivered psychosocial interventions targeting key health priorities in adults with a psychotic disorder: systematic review. Psychol Med. 2018 May 25;:1–21. doi: 10.1017/S0033291718001125.
    1. Kasckow J, Felmet K, Appelt C, Thompson R, Rotondi A, Haas G. Telepsychiatry in the assessment and treatment of schizophrenia. Clin Schizophr Relat Psychoses. 2014 Apr;8(1):21–27A. doi: 10.3371/CSRP.KAFE.021513.
    1. Fullwood C, Quinn S, Kaye LK, Redding C. My virtual friend: A qualitative analysis of the attitudes and experiences of Smartphone users: Implications for Smartphone attachment. Computers in Human Behavior. 2017;Vol.75:347–55.
    1. Clarke J, Proudfoot J, Whitton A, Birch M, Boyd M, Parker G, Manicavasagar V, Hadzi-Pavlovic D, Fogarty A. Therapeutic alliance with a fully automated mobile phone and web-based intervention: secondary analysis of a randomized controlled trial. JMIR Ment Health. 2016 Feb 25;3(1):e10. doi: 10.2196/mental.4656.
    1. Berry K, Salter A, Morris R, James S, Bucci S. Assessing therapeutic alliance in the context of mhealth interventions for mental health problems: development of the Mobile Agnew Relationship Measure (mARM) questionnaire. J Med Internet Res. 2018 Apr 19;20(4):e90. doi: 10.2196/jmir.8252.
    1. Agnew-Davies R, Stiles WB, Hardy GE, Barkham M, Shapiro DA. Alliance structure assessed by the Agnew Relationship Measure (ARM) Br J Clin Psychol. 1998 May;37(Pt 2):155–72.
    1. Stevens S, Sin J. Implementing a self-management model of relapse prevention for psychosis into routine clinical practice. J Psychiatr Ment Health Nurs. 2005 Aug;12(4):495–501. doi: 10.1111/j.1365-2850.2005.00840.x.
    1. McAllister M, Dunn G, Payne K, Davies L, Todd C. Patient empowerment: the need to consider it as a measurable patient-reported outcome for chronic conditions. BMC Health Serv Res. 2012;12:157. doi: 10.1186/1472-6963-12-157.
    1. Tait L, Birchwood M, Trower P. Predicting engagement with services for psychosis: insight, symptoms and recovery style. Br J Psychiatry. 2003 Feb;182:123–8.
    1. Proudfoot JG, Parker GB, Benoit M, Manicavasagar V, Smith M, Gayed A. What happens after diagnosis? Understanding the experiences of patients with newly-diagnosed bipolar disorder. Health Expect. 2009 Jun;12(2):120–9. doi: 10.1111/j.1369-7625.2009.00541.x.
    1. Cohen J, Edmunds J, Brodman D, Benjamin C, Kendall P. Using self-monitoring: implementation of collaborative empiricism in cognitive-behavioral therapy. Cogn Behav Pract. 2013 Nov;20(4):419–428. doi: 10.1016/j.cbpra.2012.06.002.
    1. Korotitsch WJ, Nelson-Gray RO. An overview of self-monitoring research in assessment and treatment. Psychol Assess. 1999 Nov;11(4):415–25. doi: 10.1037/1040-3590.11.4.415.
    1. Bell IH, Lim MH, Rossell SL, Thomas N. Ecological momentary assessment and intervention in the treatment of psychotic disorders: a systematic review. Psychiatr Serv. 2017 Nov 01;68(11):1172–81. doi: 10.1176/appi.ps.201600523.
    1. Lewis S, Fraccaro P, Ainsworth J, Machin M, Sanders C, He Z, Whelan P, Stockton-Powdrell C, Hopkins R, Wykes T. A randomised controlled trial of smartphone active symptom monitoring in psychosis. Schizophr Bull. 2018 Mar;44(Suppl 1):S106. doi: 10.1093/schbul/sby015.261.
    1. Depp CA, Moore RC, Perivoliotis D, Granholm E. Technology to assess and support self-management in serious mental illness. Dialogues Clin Neurosci. 2016 Jun;18(2):171–83.
    1. Naslund JA, Marsch LA, McHugo GJ, Bartels SJ. Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature. J Ment Health. 2015 Aug 19;24(5):321–32. doi: 10.3109/09638237.2015.1019054.
    1. Hatch A, Hoffman JE, Ross R, Docherty JP. Expert consensus survey on digital health tools for patients with serious mental illness: optimizing for user characteristics and user support. JMIR Ment Health. 2018 Jun 12;5(2):e46. doi: 10.2196/mental.9777.

Source: PubMed

3
Abonnieren