Mobile.net: 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

Patients' Expectations and Experiences With a Mental Health-Focused Supportive Text Messaging Program: Mixed Methods Evaluation

BACKGROUND

Web-based services are an economical and easily scalable means of support that uses existing technology. Text4Support is a supportive, complementary text messaging service that supports people with different mental health conditions after they are discharged from inpatient psychiatric care.

OBJECTIVE

In this study, we aim to assess user satisfaction with the Text4Support service to gain a better understanding of subscribers' experiences.

METHODS

This was a mixed methods study using secondary data from a pilot observational controlled trial. The trial included 181 patients discharged from acute psychiatric care and distributed into 4 randomized groups. Out of the 4 study groups in the initial study, 2 groups who received supportive text messages (89/181, 49.2% of patients), either alone or alongside a peer support worker, were included. Thematic and descriptive analyses were also performed. Differences in feedback based on sex at birth and primary diagnosis were determined using univariate analysis. The study was registered with ClinicalTrials.gov (trial registration number: NCT03404882).

RESULTS

Out of 89 participants, 36 (40%) completed the follow-up survey. The principal findings were that Text4Support was well perceived with a high satisfaction rate either regarding the feedback of the messages or their perceived impact. Meanwhile, there was no statistically significant difference between satisfactory items based on the subscriber's sex at birth or primary diagnosis. The patients' initial expectations were either neutral or positive in relation to the expected nature or the impact of the text messages received on their mental well-being. In addition, the subscribers were satisfied with the frequency of the messages, which were received once daily for 6 consecutive months. The participants recommended more personalized messages or mutual interaction with health care personnel.

CONCLUSIONS

Text4Support was generally well perceived by patients after hospital discharge, regardless of their sex at birth or mental health diagnosis. Further personalization and interactive platforms were recommended by participants that may need to be considered when designing similar future services.

Text Messages in the Field of Mental Health: Rapid Review of the Reviews

BACKGROUND

While mental health problems constitute a worldwide concern contributing to the global rates of morbidity and mortality, conventional mental healthcare services do not meet the current needs. Text messages (TM) represent a live model that incorporates technology into health services, spanning a large number of health conditions and playing different roles that may support the current healthcare system.

OBJECTIVE

To examine the TM services in the field of mental health, regarding their effectiveness, feasibility, acceptability, and economic evaluation in different contexts of mental health diagnoses and during critical times, when provided to individuals with mental health symptoms/disorders.

METHODS

This rapid review was conducted through an online search in PubMed, Embase, PsycINFO, and Medline databases. The review targeted the review studies which examined online or mobile addiction and mental health services, utilizing TM services. The search was run from the inception up to September 30, 2021.

RESULTS

Sixty review articles met the inclusion criteria and were included in this review. All reviews were published over the last decade. The results showed that people of a young age were fairly represented, and most reviews were run over substance use disorders (SUD), including Alcohol. Most reviews examined the effectiveness outcomes of the texting service, while to a lesser extent the acceptability and feasibility, among others. Texting services were reported as effective in psychotic disorders and SUD. However, the results related to depression and anxiety were mixed. Most reviews reported a considerably high risk of bias among their included studies. High satisfaction and acceptability of the texting services were reported for patients with various mental health conditions, including those with severe mental illness.

CONCLUSIONS

This rapid review highlighted the applications, usability, benefits, and satisfaction with the TM in the field of mental health. For a higher quality of evidence, future studies should consider TM interventions in the contexts with mixed results or a dearth of literature, and during critical times, such as the COVID-19 pandemic. Policy- and decision-makers, therefore, need to further support text-based services with guided investments in interventions that were evidenced to be accepted, economic and feasible.

Short Text Messages to Encourage Adherence to Medication and Follow-up for People With Psychosis (Mobile.Net): Randomized Controlled Trial in Finland

Background

A text messaging service (short message service [SMS]) has the potential to target large groups of people with long-term illnesses such as serious mental disorders, who may have difficulty with treatment adherence. Robust research on the impact of mobile technology interventions for these patients remains scarce.

Objective

The main objective of our study was to investigate the impact of individually tailored short text messages on the rate of psychiatric hospital readmissions, health care service use, and clinical outcomes. In addition, we analyzed treatment costs.

Methods

Between September 2011 and November 2012, we randomly assigned 1139 people to a tailored text message intervention (n=569) or usual care (n=570). Participants received semiautomated text messages for up to 12 months or usual care. The primary outcome, based on routinely collected health register data, was patient readmission into a psychiatric hospital during a 12-month follow-up period. Secondary outcomes were related to other service use, coercion, medication, adverse events, satisfaction, social functioning, quality of life, and economic factors (cost analysis).

Results

There was 98.24% (1119/1139) follow-up at 12 months. Tailored mobile telephone text messages did not reduce the rate of hospital admissions (242/563, 43.0% of the SMS group vs 216/556, 38.8% of the control group; relative risk 1.11; 95% CI 0.92-1.33; P=.28), time between hospitalizations (mean difference 7.0 days 95% CI –8.0 to 24.0; P=.37), time spent in a psychiatric hospital during the year (mean difference 2.0 days 95% CI –2.0 to 7.0; P=.35), or other service outcomes. People who received text messages were less disabled, based on Global Assessment Scale scores at the time of their readmission, than those who did not receive text messages (odds ratio 0.68; 95% CI 0.47-0.97; P=.04). The costs of treatment were higher for people in the SMS group than in the control group (mean €10,103 vs €9210, respectively, P<.001).

Conclusions

High-grade routinely collected data can provide clear outcomes for pragmatic randomized trials. SMS messaging tailored with the input of each individual patient did not decrease the rate of psychiatric hospital visits after the 12 months of follow-up. Although there may have been other, more subtle effects, the results of these were not evident in outcomes of agreed importance to clinicians, policymakers, and patients and their families.

Trial Registration

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

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

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)

Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health

Background

Mobile phone text messages (short message service, SMS) are used pervasively as a form of communication. Almost 100% of the population uses text messaging worldwide and this technology is being suggested as a promising tool in psychiatry. Text messages can be sent either from a classic mobile phone or a web-based application. Reviews are needed to better understand how text messaging can be used in mental health care and other fields of medicine.

Objective

The objective of the study was to review the literature regarding the use of mobile phone text messaging in mental health care.

Methods

We conducted a thorough literature review of studies involving text messaging in health care management. Searches included PubMed, PsycINFO, Cochrane, Scopus, Embase and Web of Science databases on May 25, 2015. Studies reporting the use of text messaging as a tool in managing patients with mental health disorders were included. Given the heterogeneity of studies, this review was summarized using a descriptive approach.

Results

From 677 initial citations, 36 studies were included in the review. Text messaging was used in a wide range of mental health situations, notably substance abuse (31%), schizophrenia (22%), and affective disorders (17%). We identified four ways in which text messages were used: reminders (14%), information (17%), supportive messages (42%), and self-monitoring procedures (42%). Applications were sometimes combined.

Conclusions

We report growing interest in text messaging since 2006. Text messages have been proposed as a health care tool in a wide spectrum of psychiatric disorders including substance abuse, schizophrenia, affective disorders, and suicide prevention. Most papers described pilot studies, while some randomized clinical trials (RCTs) were also reported. Overall, a positive attitude toward text messages was reported. RCTs reported improved treatment adherence and symptom surveillance. Other positive points included an increase in appointment attendance and in satisfaction with management and health care services. Insight into message content, preventative strategies, and innovative approaches derived from the mental health field may be applicable in other medical specialties.

Feedback on SMS reminders to encourage adherence among patients taking antipsychotic medication: a cross-sectional survey nested within a randomised trial

OBJECTIVES

To explore feedback on tailored SMS reminders to encourage medication adherence and outpatient treatment among patients taking antipsychotic medication, and associations related to the feedback.

DESIGN

A cross-sectional survey nested within a nationwide randomised clinical trial ("Mobile.Net" ISRCTN27704027).

SETTING

Psychiatric outpatient care in Finland.

PARTICIPANTS

Between September 2012 and December 2013, 403 of 558 adults with antipsychotic medication responded after 12 months of SMS intervention.

MAIN OUTCOME MEASURE

Feedback was gathered with a structured questionnaire based on Technology Acceptance Model theory. Data were analysed by Pearson's χ(2) test, binary logistic regression and stepwise multiple regression analyses.

RESULTS

Almost all participants (98%) found the SMS reminders easy to use and 87% felt that the SMS did not cause harm. About three-quarters (72%) were satisfied with the SMS received, and 61% found it useful. Divorced people were particularly prone to find SMS reminders useful (χ(2)=13.17, df=6, p=0.04), and people seeking employment were more often 'fully satisfied' with the SMS compared with other groups (χ(2)=10.82, df=4, p=0.029). People who were older at first contact with psychiatric services were more often 'fully satisfied' than younger groups (OR=1.02, 95% CI 1.01 to 1.04, p=0.007).

CONCLUSIONS

The feedback of patients taking antipsychotic medication on SMS services was generally positive. Overall, people were quite satisfied despite considerable variation in their sociodemographic background and illness history. Our results endorse that the use of simple easy-to-use existing technology, such as mobile phones and SMS, is acceptable in psychiatric outpatient services. Moreover, people using psychiatric outpatient services are able to use this technology. This acceptable and accessible technology can be easily tailored to each patient's needs and could be customised to the needs of the isolated or jobless. This is an area in which much careful evaluation is needed.

Mobile phone text message reminders: Measuring preferences of people with antipsychotic medication

Mobile technology use, including Short Messaging Service (SMS) text messaging, has increased in health care services. Preferences regarding the type or timing of text messages sent by healthcare providers to people with antipsychotic medication have not yet been fully investigated. This study examines the relationship between patients' demographic characteristics and the tailored messages they select. The study ("Mobile.Net",

ISRCTN

27704027) includes a structured analysis of a random sub-sample of participants who received messages for 12months. The data were collected in 24 sites and 45 psychiatric hospitals in Finland and analyzed with descriptive statistics and Poisson regression models. The study sample involved 562 people on antipsychotic medication, and a total of 2112 text messages (2 to 25 monthly) were analysed. Regarding message content, there was no significant variation in the proportions relating to 'medication', 'treatment appointments' or 'free time'. Monday was the most popular day to receive messages and morning was preferred to later in the day. Age was most closely associated with 'number of messages' and 'time of messages'. Older women and younger men preferred higher numbers of messages (p=0.0031). Participants preferred positive, encouraging and slightly humorous messages. The findings suggest that messages may be acceptable for difficult to access groups in follow-up. This type of intervention may be useful for various types of patients especially for younger males. To further support the evidence about factors related to message utilization and use, it is important to evaluate the effectiveness of text messages in psychiatric care.

How connected are people with schizophrenia? Cell phone, computer, email, and social media use

Technologies such as Internet based social media network (SMN) websites are becoming an important part of many adult lives; however, less is known about their use in patients with schizophrenia. We need to determine (1) how "connected" are patients with schizophrenia?, (2) do these technologies interfere with the patient׳s illness?, and (3) do patients envision these technologies being involved in their treatment? We recruited 80 inpatients and outpatients age 18-70 with schizophrenia to complete a brief survey on the prevalence and frequency of cell phone, text messaging, computer, email, and SMN use, and associated attitudes. 56% of subjects use text messaging, 48% have an email account, and 27% of subjects use SMN sites daily, with Facebook being the most popular. Many current users agreed that these technologies help them interact/socialize more, expressed interest in receiving text messages from their doctors, and disagreed that these technologies make symptoms worse. These preliminary findings should be investigated in larger samples, but suggest that these technologies afford a unique opportunity to engage and improve treatment for some patients with schizophrenia.

Perceptions of treatment adherence among people with mental health problems and health care professionals

AIMS

To explore patients' and mental healthcare professionals' perceptions of supportive and restrictive indicators of adherence to treatment in patients with mental health problems.

BACKGROUND

People with mental health problems may have difficulties adhering to their treatment, causing relapses and hospitalizations. It is, therefore, important to learn more about how patients' treatment adherence can be supported and what jeopardizes adherence.

DESIGN

A descriptive qualitative study.

METHODS

Nine focus groups and semi-structured interviews were conducted in Finland during 2010-2011. The patients (n = 19) were recruited from patient associations and the healthcare professionals (n = 42) from healthcare organizations. The data were analysed using inductive content analysis.

FINDINGS

Participants agreed that treatment adherence can be supported. Suggestions focused on treatment planning mindful of both patient involvement and needs. A structured daily routine helps patients manage their everyday issues and further facilitates adherence. On the other hand, patients found that their adherence was affected by factors related to the mental health system, including arrangements for follow-up care, access to services, the receptiveness of providers to meet patient needs and a disconnect time between hospital and community life.

CONCLUSION

Patient adherence should already be taken into account when treatment is planned. The content of treatment should be individually designed according to the patient's activities of daily life. In addition, stressing the importance of medication and listening to the patient's opinions and experiences of taking medication may improve the patient's willingness to adhere.

Nonadherence with antipsychotic medication in schizophrenia: challenges and management strategies

Nonadherence with medication occurs in all chronic medical disorders. It is a particular challenge in schizophrenia due to the illness's association with social isolation, stigma, and comorbid substance misuse, plus the effect of symptom domains on adherence, including positive and negative symptoms, lack of insight, depression, and cognitive impairment. Nonadherence lies on a spectrum, is often covert, and is underestimated by clinicians, but affects more than one third of patients with schizophrenia per annum. It increases the risk of relapse, rehospitalization, and self-harm, increases inpatient costs, and lowers quality of life. It results from multiple patient, clinician, illness, medication, and service factors, but a useful distinction is between intentional and unintentional nonadherence. There is no gold standard approach to the measurement of adherence as all methods have pros and cons. Interventions to improve adherence include psychoeducation and other psychosocial interventions, antipsychotic long-acting injections, electronic reminders, service-based interventions, and financial incentives. These overlap, all have some evidence of effectiveness, and the intervention adopted should be tailored to the individual. Psychosocial interventions that utilize combined approaches seem more effective than unidimensional approaches. There is increasing interest in electronic reminders and monitoring systems to enhance adherence, eg, Short Message Service text messaging and real-time medication monitoring linked to smart pill containers or an electronic ingestible event marker. Financial incentives to enhance antipsychotic adherence raise ethical issues, and their place in practice remains unclear. Simple pragmatic strategies to improve medication adherence include shared decision-making, regular assessment of adherence, simplification of the medication regimen, ensuring that treatment is effective and that side effects are managed, and promoting a positive therapeutic alliance and good communication between the clinician and patient. These elements remain essential for all patients, not least for the small minority where vulnerability and risk issue dictate that compulsory treatment is necessary to ensure adherence.

Information and communication technology based prompting for treatment compliance for people with serious mental illness

BACKGROUND

Non-compliance is a significant problem among people with serious mental disorders, presenting a challenge for mental health professionals. Prompts such as telephone calls, visits, and a posted referral letter to patients are currently used to encourage patient attendance at clinics and/or compliance with medication. More recently, the use of information and communication technology (ICT)-based prompting methods have increased. Methods include mobile text message (SMS - short message service), e-mail or use of any other electronic device with the stated purpose of encouraging compliance.

OBJECTIVES

To investigate the effects of ICT-based prompting to support treatment compliance in people with serious mental illness compared with standard care.

SEARCH METHODS

We searched the Cochrane Schizophrenia Group's Trials Register (31(st) May 2011 and 9(th) July 2012) which is based on regular searches of CINAHL, BIOSIS, AMED, EMBASE, PubMed, MEDLINE, PsycINFO, and registries of clinical trials. Also, we inspected references of all identified studies for further trials and contacted authors of trials for additional information.

SELECTION CRITERIA

Relevant randomised controlled trials involving adults with serious mental illness, comparing any ICT-based prompt or combination of prompts by automatic or semi-automatic system compared with standard care.

DATA COLLECTION AND ANALYSIS

Review authors reliably assessed trial quality and extracted data. We calculated risk ratio (RR) with 95% confidence intervals (CI) using a fixed-effect model. For continuous outcomes, we estimated the mean difference (MD) between groups, again with 95% confidence intervals. A 'Summary of findings' table using GRADE was created, and we assessed included studies for risk of bias.

MAIN RESULTS

The search identified 35 references, with 25 studies, but we could only include two studies with a total of 358 participants. The studies had a moderate risk of bias, and therefore risk overestimating any positive effects of ICT-based prompting. Both included studies compared semi-automatised ICT-based prompting intervention with standard care groups in mental health outpatient care. The interventions were SMS-message and an electronic assistant device. One included study reported our primary outcome, compliance.There was not any clear evidence that ICT-based prompts increase improvement in compliance (stop taking medication within six months n = 320, RR 1.11 CI 0.96 to 1.29, moderate quality evidence). There was some low quality evidence that ICT-based prompts have small effects for: mental state (average change in specific symptom scores within three months n = 251, MD -0.30 CI -0.53 to -0.07; severity of illness within three months n = 251, MD -0.10 CI -0.13 to -0.07 and six months n = 251, MD -0.10 CI -0.13 to -0.07; average change in depressive scores within six months n = 251, RR 0.00 CI -0.28 to 0.28; global symptoms within three months n = 251, MD -0.10 CI -0.38 to -0.07; negative symptoms within three months n = 251, MD -0.10 CI -0.38 to 0.18 and six months n = 251, MD -0.30 CI -0.58 to 0.02, low quality evidence). Level of insight improved more among people receiving ICT-based prompt compared with those in the control group at six months (n = 251, MD -0.10 CI -0.13 to -0.07). ICT-based prompts also increased quality of life (average change in quality of life within six months n = 251, RR 0.50 CI 0.19 to 0.81, moderate quality evidence).Based on the existing data, there is no evidence that either intervention is less acceptable than the other (n = 347, 2 RCTs, RR 1.46 CI 0.70 to 3.05, low quality evidence). Included studies did not report outcomes of service utilisation, behaviour, costs or adverse events.

AUTHORS' CONCLUSIONS

The evidence base on the effects of ICT-based prompts is still inconclusive. Data to clarify ICT-based prompting effects are awaited from an ongoing trial, but further well-conducted trials considering the different ICT-based prompts are warranted.