Factors Associated With Dropout During Recruitment and Follow-Up Periods of a mHealth-Based Randomized Controlled Trial for Mobile.Net to Encourage Treatment Adherence for People With Serious Mental Health Problems

Kati Anneli Kannisto, Joonas Korhonen, Clive E Adams, Marita Hannele Koivunen, Tero Vahlberg, Maritta Anneli Välimäki, Kati Anneli Kannisto, Joonas Korhonen, Clive E Adams, Marita Hannele Koivunen, Tero Vahlberg, Maritta Anneli Välimäki

Abstract

Background: Clinical trials are the gold standard of evidence-based practice. Still many papers inadequately report methodology in randomized controlled trials (RCTs), particularly for mHealth interventions for people with serious mental health problems. To ensure robust enough evidence, it is important to understand which study phases are the most vulnerable in the field of mental health care.

Objective: We mapped the recruitment and the trial follow-up periods of participants to provide a picture of the dropout predictors from a mHealth-based trial. As an example, we used a mHealth-based multicenter RCT, titled "Mobile.Net," targeted at people with serious mental health problems.

Methods: Recruitment and follow-up processes of the Mobile.Net trial were monitored and analyzed. Recruitment outcomes were recorded as screened, eligible, consent not asked, refused, and enrolled. Patient engagement was recorded as follow-up outcomes: (1) attrition during short message service (SMS) text message intervention and (2) attrition during the 12-month follow-up period. Multiple regression analysis was used to identify which demographic factors were related to recruitment and retention.

Results: We recruited 1139 patients during a 15-month period. Of 11,530 people screened, 36.31% (n=4186) were eligible. This eligible group tended to be significantly younger (mean 39.2, SD 13.2 years, P<.001) and more often women (2103/4181, 50.30%) than those who were not eligible (age: mean 43.7, SD 14.6 years; women: 3633/6514, 55.78%). At the point when potential participants were asked to give consent, a further 2278 refused. Those who refused were a little older (mean 40.2, SD 13.9 years) than those who agreed to participate (mean 38.3, SD 12.5 years; t1842=3.2, P<.001). We measured the outcomes after 12 months of the SMS text message intervention. Attrition from the SMS text message intervention was 4.8% (27/563). The patient dropout rate after 12 months was 0.36% (4/1123), as discovered from the register data. In all, 3.12% (35/1123) of the participants withdrew from the trial. However, dropout rates from the patient survey (either by paper or telephone interview) were 52.45% (589/1123) and 27.8% (155/558), respectively. Almost all participants (536/563, 95.2%) tolerated the intervention, but those who discontinued were more often women (21/27, 78%; P=.009). Finally, participants' age (P<.001), gender (P<.001), vocational education (P=.04), and employment status (P<.001) seemed to predict their risk of dropping out from the postal survey.

Conclusions: Patient recruitment and engagement in the 12-month follow-up conducted with a postal survey were the most vulnerable phases in the SMS text message-based trial. People with serious mental health problems may need extra support during the recruitment process and in engaging them in SMS text message-based trials to ensure robust enough evidence for mental health care.

Clinicaltrial: International Standard Randomized Controlled Trial Number (ISRCTN): 27704027; http://www.isrctn.com/ISRCTN27704027 (Archived by WebCite at http://www.webcitation.org/6oHcU2SFp).

Keywords: antipsychotics; mental health; methodological study; mobile health; psychiatric services; text messaging.

Conflict of interest statement

Conflicts of Interest: None declared.

©Kati Anneli Kannisto, Joonas Korhonen, Clive E Adams, Marita Hannele Koivunen, Tero Vahlberg, Maritta Anneli Välimäki. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.02.2017.

References

    1. Word Health Organization. [2016-11-01]. Schizophrenia
    1. Harvey PD, Strassnig M. Predicting the severity of everyday functional disability in people with schizophrenia: cognitive deficits, functional capacity, symptoms, and health status. World Psychiatry. 2012 Jun;11(2):73–79.
    1. Velligan DI, Weiden PJ, Sajatovic M, Scott J, Carpenter D, Ross R, Docherty JP, Expert Consensus Panel on Adherence Problems in Serious and Persistent Mental Illness The expert consensus guideline series: adherence problems in patients with serious and persistent mental illness. J Clin Psychiatry. 2009;70 Suppl 4:1–46; quiz 47.
    1. Haddad PM, Brain C, Scott J. Nonadherence with antipsychotic medication in schizophrenia: challenges and management strategies. Patient Relat Outcome Meas. 2014;5:43–62. doi: 10.2147/PROM.S42735. doi: 10.2147/PROM.S42735.
    1. Świtaj P, Anczewska M, Chrostek A, Sabariego C, Cieza A, Bickenbach J, Chatterji S. Disability and schizophrenia: a systematic review of experienced psychosocial difficulties. BMC Psychiatry. 2012 Nov 09;12:193. doi: 10.1186/1471-244X-12-193.
    1. Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. 2015;17(2):e52. doi: 10.2196/jmir.3951.
    1. Gaebel W, Großimlinghaus I, Kerst A, Cohen Y, Hinsche-Böckenholt A, Johnson B, Mucic D, Petrea I, Rössler W, Thornicroft G, Zielasek J. European Psychiatric Association (EPA) guidance on the quality of eMental health interventions in the treatment of psychotic disorders. Eur Arch Psychiatry Clin Neurosci. 2016 Mar;266(2):125–137. doi: 10.1007/s00406-016-0677-6.
    1. Ben-Zeev D, Scherer EA, Gottlieb JD, Rotondi AJ, Brunette MF, Achtyes ED, Mueser KT, Gingerich S, Brenner CJ, Begale M, Mohr DC, Schooler N, Marcy P, Robinson DG, Kane JM. mHealth for schizophrenia: patient engagement with a mobile phone intervention following hospital discharge. JMIR Ment Health. 2016;3(3):e34. doi: 10.2196/mental.6348.
    1. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for future mobile-health (mHealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res. 2016 Jun 10;18(6):e135. doi: 10.2196/jmir.5066.
    1. Agarwal S, LeFevre AE, Lee J, L'Engle K, Mehl G, Sinha C, Labrique A, WHO mHealth Technical Evidence Review Group Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist. BMJ. 2016;352:i1174.
    1. Olff M. Mobile mental health: a challenging research agenda. Eur J Psychotraumatol. 2015;6:27882.
    1. Kannisto KA, Koivunen MH, Välimäki MA. Use of mobile phone text message reminders in health care services: a narrative literature review. J Med Internet Res. 2014;16(10):e222. doi: 10.2196/jmir.3442.
    1. Price M, Yuen EK, Goetter EM, Herbert JD, Forman EM, Acierno R, Ruggiero KJ. mHealth: a mechanism to deliver more accessible, more effective mental health care. Clin Psychol Psychother. 2014;21(5):427–436. doi: 10.1002/cpp.1855.
    1. Firth J, Cotter J, Torous J, Bucci S, Firth JA, Yung AR. Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies. Schizophr Bull. 2015 Sep 22;42(2):448–455. doi: 10.1093/schbul/sbv132.
    1. Furimsky I, Cheung AH, Dewa CS, Zipursky RB. Strategies to enhance patient recruitment and retention in research involving patients with a first episode of mental illness. Contemp Clin Trials. 2008 Nov;29(6):862–866. doi: 10.1016/j.cct.2008.07.005.
    1. Depp CA, Harmell AL, Vahia IV, Mausbach BT. Neurocognitive and functional correlates of mobile phone use in middle-aged and older patients with schizophrenia. Aging Ment Health. 2016;20(1):29–35. doi: 10.1080/13607863.2015.1008987.
    1. Ennis L, Rose D, Denis M, Pandit N, Wykes T. Can't surf, won't surf: the digital divide in mental health. J Ment Health. 2012 Aug;21(4):395–403. doi: 10.3109/09638237.2012.689437.
    1. Harvey PD, Keefe RSE. Technology, society, and mental illness: challenges and opportunities for assessment and treatment. Innov Clin Neurosci. 2012 Nov;9(11-12):47–50.
    1. Ben-Zeev D, Schueller SM, Begale M, Duffecy J, Kane JM, Mohr DC. Strategies for mHealth research: lessons from 3 mobile intervention studies. Adm Policy Ment Health. 2015 Mar;42(2):157–167. doi: 10.1007/s10488-014-0556-2.
    1. Eysenbach G. The law of attrition. J Med Internet Res. 2005;7(1):e11. doi: 10.2196/jmir.7.1.e11.
    1. Välimäki M, Hätönen H, Adams CE. : mobile telephone text messages to encourage adherence to medication and to follow up with people with psychosis: methods and protocol for a multicenter randomized controlled two-armed trial. JMIR Res Protoc. 2012;1(2):e8. doi: 10.2196/resprot.2136.
    1. Kauppi K, Kannisto KA, Hätönen H, Anttila M, Löyttyniemi E, Adams CE, Välimäki M. Mobile phone text message reminders: Measuring preferences of people with antipsychotic medication. Schizophr Res. 2015 Oct;168(1-2):514–522. doi: 10.1016/j.schres.2015.07.044.
    1. Blanton S, Morris DM, Prettyman MG, McCulloch K, Redmond S, Light KE, Wolf SL. Lessons learned in participant recruitment and retention: the EXCITE trial. Phys Ther. 2006 Nov;86(11):1520–1533. doi: 10.2522/ptj.20060091.
    1. Kim R, Hickman N, Gali K, Orozco N, Prochaska JJ. Maximizing retention with high risk participants in a clinical trial. Am J Health Promot. 2014;28(4):268–274. doi: 10.4278/ajhp.120720-QUAN-355.
    1. Amico KR. Percent total attrition: a poor metric for study rigor in hosted intervention designs. Am J Public Health. 2009 Sep;99(9):1567–1575. doi: 10.2105/AJPH.2008.134767.
    1. Endicott J, Nee J, Harrison W, Blumenthal R. Quality of Life Enjoyment and Satisfaction Questionnaire: a new measure. Psychopharmacol Bull. 1993;29(2):321–326.
    1. Attkisson CC, Greenfield TK. The UCSF Client Satisfaction Scales: I. The Client Satisfaction Questionnaire-8. In: Maruish ME, editor. The Use Of Psychological Testing For Treatment Planning And Outcomes Assessment: Volume 1: General Considerations (3rd Edition) Mahwah, NJ: Lawrence Erlbaum Associates; 2004.
    1. Giguere AM, Labrecque M, Légaré F, Grad R, Cauchon M, Greenway M, Haynes RB, Pluye P, Syed I, Banerjee D, Carmichael P, Martin M. Feasibility of a randomized controlled trial to evaluate the impact of decision boxes on shared decision-making processes. BMC Med Inform Decis Mak. 2015;15:13. doi: 10.1186/s12911-015-0134-x.
    1. Karlson CW, Rapoff MA. Attrition in randomized controlled trials for pediatric chronic conditions. J Pediatr Psychol. 2009 Aug;34(7):782–793. doi: 10.1093/jpepsy/jsn122.
    1. National Institute for Health and Welfare. 2014. [2016-07-26]. Care register for health care .
    1. The ICD-10 Classification of Mental and Behavioural Disorders: Diagnostic Criteria for Research. Geneva: World Health Organization; 1993. [2016-07-26]. .
    1. Villeneuve K, Potvin S, Lesage A, Nicole L. Meta-analysis of rates of drop-out from psychosocial treatment among persons with schizophrenia spectrum disorder. Schizophr Res. 2010 Aug;121(1-3):266–270. doi: 10.1016/j.schres.2010.04.003.
    1. Vargas-Barón E. Planning Policies for Early Childhood Development: Guidelines for Action. Paris: United Nations Educational, Scientific and Cultural Organisation (UNESCO); 2005. [2016-07-26]. .
    1. Shadish W, Cook T, Campbell D. Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin; 2002.
    1. Kannisto KA, Adams CE, Koivunen M, Katajisto J, Välimäki M. Feedback on SMS reminders to encourage adherence among patients taking antipsychotic medication: a cross-sectional survey nested within a randomised trial. BMJ Open. 2015;5(11):e008574. doi: 10.1136/bmjopen-2015-008574.
    1. Jørgensen R, Munk-Jørgensen P, Lysaker PH, Buck KD, Hansson L, Zoffmann V. Overcoming recruitment barriers revealed high readiness to participate and low dropout rate among people with schizophrenia in a randomized controlled trial testing the effect of a Guided Self-Determination intervention. BMC Psychiatry. 2014 Feb 03;14:28. doi: 10.1186/1471-244X-14-28.
    1. Woodall A, Morgan C, Sloan C, Howard L. Barriers to participation in mental health research: are there specific gender, ethnicity and age related barriers? BMC Psychiatry. 2010;10:103. doi: 10.1186/1471-244X-10-103.
    1. Ben-Zeev D, Kaiser SM, Krzos I. Remote “hovering” with individuals with psychotic disorders and substance use: feasibility, engagement, and therapeutic alliance with a text-messaging mobile interventionist. J Dual Diagn. 2014;10(4):197–203. doi: 10.1080/15504263.2014.962336.
    1. Ben-Zeev D. Mobile technologies in the study, assessment, and treatment of schizophrenia. Schizophr Bull. 2012 May;38(3):384–385. doi: 10.1093/schbul/sbr179.
    1. Smith A. Pew Research Center. 2014. Apr 03, [2016-11-01]. Older adults and technology use
    1. McCauley-Elsom K, Gurvich C, Lee S, Elsom S, O'Connor M, Kulkarni J. Vulnerable populations and multicentred research. Int J Ment Health Nurs. 2009 Apr;18(2):108–115. doi: 10.1111/j.1447-0349.2008.00590.x.

Source: PubMed

3
Subskrybuj