mHealth -scalable and cost-effective mental healthcare

mHealth -scalable and cost-effective mental healthcare

mHealth offers the opportunity to offer scalable and cost-effective mental healthcare. One of the greatest challenges the healthcare systems face is the long-term care of individuals with severe mental disorders such as schizophrenia since the impact this has on individuals, families and societies is huge. Fortunately, some of these issues can be partially solved with the use of mHealth technology. Besides, the advantages of online therapy are many, including a more personalised treatment, patient-empowerment, teaching self-care and helping people who wouldn’t receive treatment otherwise.

Schizophrenia has an estimated point prevalence of 0.4% and a lifetime risk of 1%, which means that 1 in every 100 people will suffer from schizophrenia during their lifetime. It is the 7th most important illness in terms of years lived with disability, accounting for 2.8% of disability caused by all illnesses. For people aged 15 to 44 years, it is the 3rd most important disease, accounting for 4.9% of disability resulting from all illnesses.

During the last few decades, the European Union has made a huge effort to overcome these barriers and to ensure high-quality, longer-term care for people with severe mental disorders. These efforts started in the 60’s with the development of new pharmacological treatments for psychosis, which radically changed the prognosis of severe mental illness. In the 70’s and the 80’s, there was an emergence of new psychosocial interventions and new concepts of mental health care organisations [1].

Nowadays, there is a need to shift the health care model. The transition from traditional large psychiatric institutions to modern comprehensive community-based models of care, including acute patient units at general hospitals [1].

According to a report published by EU, this shift is necessary due to the following reasons:

  • Accessibility to mental health care of people with longer-term mental disorders is much better with community-based services than with the traditional psychiatric hospitals
  • Community-based services are associated with greater user satisfaction and increased met needs. They also promote better continuity of care making possible to identify and treat more often early relapses
  • The community-based services protect the human rights of people with mental disorders and prevent stigmatisation of those people
  • Studies comparing community-based services with other models of care consistently show significantly better outcomes on adherence to treatment [1]

However, European healthcare systems need to make lots of alterations if they want to provide accessible, effective, high-quality and long-term care to people suffering from severe mental disorders.

Challenges of the transition to new comprehensive community-based models of care

One of the main reasons why the development of long-term mental health services is insufficient is due to the lack of coordination between the different health services. A close coordination, and even joint funding and management of health and social care services is fundamental to cope with the new challenges European mental health systems are now facing. [1].

According to the report, these are the key principles to organise mental health services:

Accessibility: Essential mental health care should be available locally, including outpatient and inpatient care, as well as rehabilitative care. Local services provide continuity of care in a satisfactory manner.

Comprehensiveness: Mental health services should include all facilities and programmes required to meet the essential care needs of the populations.

Coordination and continuity of care: People suffering from severe mental disorders often find it extremely difficult to gain access to various basic services; therefore, it is crucial that services work in a coordinated manner.  This coordination should also include services that are not directly related to health, such as social services and housing services.

Effectiveness: Service development should be guided by evidence of the effectiveness of particular interventions. For example, there is a growing evidence base of effective interventions for many mental disorders, among them depression, schizophrenia and alcohol dependence.

Equity: A person’s access to services of good quality should be based on need. It is quite often that the people who need these type of services the most are the least able to ask for help.

Respect for human rights: Services should respect the autonomy of persons with mental disorders, and encourage such persons to make decisions affecting their lives and treatment [1].

Scalable and cost-effective mental healthcare

The Monsenso mHealth solution does not only offer cost-effective mental healthcare, it can can facilitate five of the six points mentioned in the report to organise mental health services in an optimal way.

Accessibility: With mobile technology and telehealth, care providers can reach patients living in remote locations at a minimal cost. These technologies offer care providers more flexibility to deliver health care while on-the-go or from different locations—expanding the clinic’s service offerings [2].

Coordination and continuity of care: The Monsenso mobile health solution can facilitate and support the care of patients suffering from severe mental illnesses from community-based models. Due to its cloud-based model and unlimited scalability, patient records can be accessed by multiple organisations such as psychiatric institutions, general practitioners, and social services, among others.

Effectiveness and equity: With help of the Monsenso smartphone app, care providers can identify on a daily basis triggers and early warning signs of all patients in the system. With the Monsenso mHealth solution clinicians can prioritize caring for individuals who need immediate attention and continue to monitor individuals who are stable. According to the National Institute of mental health, early intervention is critical to treating mental illness before it can cause tragic results such as serious impairment, unemployment, homelessness, poverty, and suicide [4].

 Respect for human rights: The Monsenso smartphone app enables patients to fill in daily self-assessments and write notes about how they feel. The information collected from these assessments is shared with the clinic, allowing individuals to be more involved with their treatment. The Monsenso smartphone app also provides individuals with customised action plans that act as guidelines in case their symptoms appear enabling individuals to take responsibility for their behaviours and actions.

References:

[1] The long-term mental health care for people with severe mental disorders. J.M Caldas de Almeida, H. Killaspy. Prepared under service contract with the Impact Consortium by the European Commission. 2011.
http://ec.europa.eu/health/mental_health/docs/healthcare_mental_disorders_en.pdf

[2] Increasing access to behavioural health care through technology. The U.S. Department of Health and Human Services Health Resources and Services Administration (2013, February).
http://www.hrsa.gov/publichealth/guidelines/behavioralhealth/behavioralhealthcareaccess.pdf

[3] Directors Blog: SAMHSA and NIMH partner to support early intervention for serious mental illness. P. Hyde and T. Insel. National Institute of Mental Health Blog (2014, June 17)
http://www.nimh.nih.gov/about/director/2014/samhsa-and-nimh-partner-to-support-early-intervention-for-serious-mental-illness.shtml

[4] Evidence based treatment for first episode of psychosis: Components of coordinated specialty care. PHD R. K. Heinssen. RAISE NIMH (2014, April 14).
http://www.nimh.nih.gov/health/topics/schizophrenia/raise/nimh-white-paper-csc-for-fep_147096.pdf

Why pharma can benefit from mHealth solutions

Why pharma can benefit from mHealth solutions

Pharma can benefit from mHealth solutions by using them in clinical trials, and by offering them to healthcare providers as part of a comprehensive treatment solution.

Meeting the needs of healthcare providers

The healthcare industry is widely adopting digital technologies. But, today’s healthcare providers are extremely busy between seeing patients and filing paperwork, which limits their time online.

Nowadays, more than 80% of HCPs have a desktop/laptop computer and a smartphone, and 72% own a tablet. [1] Mobile assets are rapidly becoming components in the clinical environment.

Pharma can benefit from mHealth solutions since many healthcare providers would like to find new evidence-based medicine to provide better treatment for their patients, but in many cases, they don’t have time.  In fact, according to a survey conducted by Publicis on Sermo, 81% of clinicians want higher quality pharma representatives capable of having serious discussions of multiple therapeutic options. [2]

Pharma can benefit from mHealth solutions by offering  them to healthcare providers, and  help them satisfy their needs – improving health outcomes, information sharing, and staying updated with the latest treatments.  Providing this type of solution will not only facilitate their customers’ jobs, but they will also open new doors and new opportunities to propose comprehensive treatment solutions.

Pharma should reach out to healthcare providers and offer them digital tools, content, and communities that can help them do their jobs more efficiently.

Improving outcomes in clinical trials

Given the challenges faced during clinical trials, it is only natural that pharma turns to mHealth solutions to help them recruit patients, as well as monitoring and measuring their results.

Subjects are much more likely to participate in a study if they have the possibility to raise their concerns or ask any questions 24/7.

Pharma can benefit from mHealth solutions, since these tools can collect even more data in real-time, improve efficiencies in time and costs, shorten timelines, as well as increase patient satisfaction, retention, and future recruitment.

A key element of success when using mHealth solutions for clinical trials is the ease with which mHealth solutions can collect data, and how that information is integrated into the whole clinical database. These data integrations should be done as closely as possible to real-time, making it easy for clinicians to visualise all the patients’ data.

Conducting clinical studies using mobile devices can help collect and monitor behavioural data and vital signs in patients. These solutions can also work as medication reminders and gather patient feedback – all these improve the decision-making process when developing new medicines.

Monsenso can provide Pharma companies with  a customised, white-label mHealth solution for their clients and to use on clinical trials. If you are interested in learning more about this, click here.

References:

[1]. Publicis Healthcare Communications Group. Publicis Touchpoint Solutions, Inc. (2012). What Physicians Want! http://en.calameo.com/read/00018255192e3ec186674?authid=adzLms3ud6Vf
[2] Manhattan Research. Unknown Author. (2013). Taking the pulse 2013. www.manhattanresearch.com
[3] MHealth in Clinical Research. Denise, Myshko. Pharma Voice. (2016, October) http://www.pharmavoice.com/article/2016-10-mhealth/

How mHealth Solutions can improve the research methodology of clinical trials

How mHealth Solutions can improve the research methodology of clinical trials

Using mHealth solutions for clinical trials as data-collection tools, can potentially revolutionise clinical research. Wearable devices and mobile health solutions can offer pharmaceutical companies access to additional patient data to provide a more comprehensive overview of safety and efficacy.

According to a new report by IMS Institute for Healthcare Informatics, there are now more than 165,000 mobile health apps on the market.

A report released in 2015 by Rock Health revealed that:

  • 4 out of 5 internet connected adults use some kind of digital health technology
  • 52% of consumers strongly agree that they are responsible for their own health
  • 40% of people who made an online search for health information acted on the results of their search in some way
  • 92% of users agree that they should be the one controlling their health data
  • 80% of users would share their health data with their care provider to get better care [1]

The use of mHealth solutions for clinical trials is increasing, and according to industry experts, this trend will dominate the market in the coming years. In a recent SCORR Marketing report, 50% of industry experts surveyed say they use mHealth technology in their clinical trials and protocols, and of those 60% consider mHealth very important or critical to their research. [2]

As of August 29th, a search of clinical trials.gov showed 272 studies that mention the use of mHealth and 186 studies that mention a wearable. [2]

People use their mobile phones every day; it is the first and last thing they see when they wake up in the morning and before they go to bed. This is one of the reasons why the use of smartphones and wearables will continue to increase the use of mHealth solutions in clinical trials and pharmaceutical research.

The patient data obtained from mHealth devices, whether it is sensor or self-reported data, will transform the way patients are being diagnosed, monitored, and treated.

Additionally, the costs of conducting clinical trials are high, and mHealth technology has the necessary means to optimise the resources used and maintain lower costs. Mobile health data provides researchers with access to real-time data and visualisations that enable them to spot situations that otherwise would have been at best an indicator when reported through traditional clinical channels.

Additionally, pharmaceutical companies and researchers can immediately identify if a patient has stopped taking their medication or they present any unusual symptoms in real-time, and take action.

By using mHealth solutions, pharmaceutical companies expect to bring patients closer to the research and obtain better enrolment rates, compliance, and retention.

In addition to receiving information from patients, these devices can also be utilised to send information to the patients such as information about their condition and clinical questionnaires.

In the near future, pharmaceutical companies will be able to gather and visualise even more data in real time using mHealth technology, which will potentially shorten timelines, improve patient satisfaction, and increase future recruitment.

Interested in using mHealth technology for your clinical trial? Click here to learn more.

References:

[1] Rock Health: 80 percent of Internet-connected adults use digital health tools. J. Comstock. MobiHealthNews. (2015, October 19)
http://mobihealthnews.com/47675/rock-health-80-percent-of-internet-connected-adults-use-digital-health-tools

[2] MHealth in Clinical Research. Denise, Myshko. Pharma Voice. (2016, October)
http://www.pharmavoice.com/article/2016-10-mhealth/

Can mHealth technology be used to save costs ?

Can mHealth technology be used to save costs ?

According to an article published on Harvard Business Review, digital health tools have the potential to provide effective, low-cost ways to prevent and treat chronic illnesses. The article states that these technology-based solutions that have a clinical impact on disease are comparable to the effectiveness of a drug, and they use consumer-grade technology such as mobile devices and big data analytics that can be deployed in real-time and at scale, which is critical for the management of chronic diseases.

From the chronic diseases, mental illnesses account for five of the ten leading causes of disability worldwide [1]. Therefore, prevention as well as the the early identification and treatment of mental illness represents a high priority since it promotes recovery, independence, self-sufficiency, as well as facilitating social activities and employment opportunities [2].

In fact, in the UK alone, depression and anxiety accounted for 11.7 million lost working days last year [3].  Moreover, according to the American Medical Association, stress accounts for 60% of all human illness and disease [4], which means that clinically-tested health apps can help government authorities, corporations and insurance companies reduce their costs by monitoring individuals remotely and intervening at an early stage.

Nowadays, the majority of large employers that offer health benefits also offer a wellness programme in an effort to promote employee health and productivity as well as to reduce health-related costs.

We live in an era where certified and clinically-tested health apps, or mobile health solutions (as they are widely known), are readily available, or are being developed for most chronic diseases.

Most of these digital tools are extremely easy to use, and can be obtained by downloading an application from iOS or Google Play, signing-up, and sharing your information with a coach. The clear advantages of this technology are scalability and low-cost, since an effective health app bundled up with a telehealth can provide affordable support to either 50 or 5 million users.

The Monsenso mHealth solution can be used by insurance companies and large corporations to reduce costs by offering a preventive mental wellness programme. Individuals can use the Monsenso smartphone app to enter their daily levels of stress, anxiety, irritability, physical activity and number of hours they slept. This information is gathered and stored electronically so it can be accessed by a healthcare professional anytime, anywhere. However, the coach only needs to take action when the web portal indicates that certain individuals present any triggers or warning signs. For example, the coach will be notified when anyone in the system indicates a high level of stress, anxiety and irritability for more than five consecutive days or when someone sleeps less than six hours for more than three consecutive days. These two actions would be considered indicators that the individual needs to be contacted for a “wellness check” and implement the necessary measures to prevent the person from going on stress-leave or from becoming affected by other physical conditions such as heart disease.

References:

[1] Prevention of Mental Disorders. Effective Interventions and policy options. World Health Organisation in collaboration with the Prevention Research Centre of the Universities of Nimegen and Maastricht. http://www.who.int/mental_health/evidence/en/prevention_of_mental_disorders_sr.pdf

[2] Early intervention and recovery for young people with early psychosis: consensus statement. J. Bertolote and P. McGorry. British Journal of Psychiatry (2005). http://bjp.rcpsych.org/content/bjprcpsych/187/48/s116.full.pdf

[3] Stress in the City: ‘At first, I thought my depression was a heart attack’. The Telegraph. Peter Stanford. (2017, January 7)
http://www.telegraph.co.uk/men/health/stress-city-first-thought-depression-heart-attack/

[4] How Stress Affects the Body (INFOGRAPHIC). Huffington Post. (2013, January 10)
http://www.huffingtonpost.com/heartmath-llc/how-stress-affects-the-body_b_2422522.html

Simple Digital Technologies Can Reduce Health Care Costs.
Harvard Business Review. Alexander L. Fogel, Joseph C. Kvedar. (2016, November 14).
https://hbr.org/2016/11/simple-digital-technologies-can-reduce-health-care-costs

Digital self-monitoring tools may promote positive behavioural changes, new study suggests

Digital self-monitoring tools may promote positive behavioural changes, new study suggests

Digital self-monitoring tools enables individuals to track meaningful data about themselves. This capability has encouraged healthcare providers to use these tools to personalise and scale treatment in a more cost-efficient way.

A recently published research paper titled “Self-monitoring utilisation patterns among individuals in an incentivized programme for healthy behaviours,” suggest that the use of digital self-monitoring tools could significantly improve a patient’s long-term health engagement.

According to the research paper, the 69% of Americans track regularly at least one indicator of health, including their weight, diet, exercise routine, or symptoms related to chronic disease.  Since there is a wide range of mHealth devices, there is a growing trend among the general population to measure, track, and make changes related to their health based on quantifiable data collected by oneself. Projections show that the number of everyday wearables, devices, and sensors will increase 5-fold by 2019 [1].

Although the effectiveness of these tools varies depending on the manufacturer, it is well-established that effective, digital self-monitoring tools can have profound health benefits. For example, among diabetics, blood glucose monitoring is a major component of disease management and provides individuals the ability to assess glycaemic targets and evaluate response to therapy. Additionally, blood pressure monitoring has been associated with improved short-term blood pressure control and medication adherence, and self-monitoring has also been shown to improve weight loss and short-term activity levels Importantly, monitoring programs, wearable devices, and other non-traditional healthcare resources can potentially facilitate healthy behaviour changes [1].

As non-traditional healthcare channels such as virtual care become more popular, there is a shift to value-based treatment. Together, these aspects have led to an interest in incorporating digital self-monitoring tools into chronic condition management, and the diagnosis of acute episodes. All these are important steps in incorporating digital technologies into routine patient care.

According to the research, after 20 weeks, 28.36% of registered users were still actively engaged in the program. Meanwhile, combined with the duration of program participation, the frequency of program participation over the first 20 weeks demonstrated some interesting trends. First, the average number of activities logged by users was 4.28 during the first week in the program. However, after excluding the roughly one-third of users who ceased recording activities after one week, the average number of activities logged by participating users increased to 7.53 by the second week. After four weeks, this number was 8.01 and remained relatively steady throughout the 20-week period examined [1].

Overall, the study demonstrated that while a large proportion of users stopped participating in the programme early on those that did continue to log activities did so at a fairly consistent level throughout their participation period [1].

Primary findings

Monitoring physiologic parameters, health activities, and health behaviours in a non-medical setting has the potential to enable alternative systems of health management that can be both more individualised and convenient for health consumers.

An understanding of home-based, self-tracking parameters can provide insights into optimising such programs in future health care models.

The results of the study suggest that incentives might work for connected and active participants in achieving healthy activities. The study showed consistent, extended results of how incentivised consumers track health behaviours and health data in a real-world setting with a large population.

 Long-term adherence to healthy behaviour programme and automated self-monitoring tool

According to the study 57% of all users that remained on the study after one month continued to participate for at least twenty weeks. However, it should be taken into consideration that engaging consumers initially and for prolonged lengths are important components of success.

There is still much to learn about long-term participation. However, the digital tools used, should be easy to use and they should incorporate proven behaviour change theories through the use of rewards or incentives. For example, useful tools to improve long-term, self-monitoring are mobile health-tracking technologies since they can collect, transmit, and aggregate health data.

In fact, a study looking for adherence to the protocol through mobile phone apps which compared website or paper diaries for weight loss also proved the advantage of mobile phone apps even when it was not a fully automated process [1].

 Web-based and mobile health self-monitoring is popular in the general population, and could play a critical role in the future of health management and wellness. Self-monitoring has been shown to improve health and management of chronic conditions. [1].

The Monsenso mHealth solution can be used as a digital self-monitoring tool by individuals with a mental illness. With the smartphone app, individuals can track their health and behavioural data, as well as their symptoms and medication compliance. Besides, all this information is also synchronised with the clinical web portal enabling healthcare professionals to offer a more personalised treatment.

Reference:

Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviours. JMIR Publications. Ju Young Kim, MD, PhD; Nathan E Wineinger, PhD; Michael Taitel, PhD; Jennifer M Radin, MPH, PhD; Osayi Akinbosoye, PhD; Jenny Jiang, MS; Nima Nikzad, PhD; Gregory Orr, MBA; Eric Topol, MD; Steve Steinhubl, MD. 2016. http://www.jmir.org/2016/11/e292#Body

Identifying children’s mental health issues with mHealth technology

Identifying children’s mental health issues with mHealth technology

The World Innovation Summit for Health (WISH) released a Report on Mental Health and Well-being for children titled “Healthy Young Minds. Transforming the mental health of children.” The information included on this blog post is taken from the report. 

The report revealed that half of all mental health problems emerge before individuals reach 18 years old. However, even in developed countries, only 25% receive any specialised treatment. Mental health problems place massive costs on society, since the total cost of mental illness is 3.5 of GDP in Europe.  Besides causing direct health care costs, mental illness in youths also causes educational failure, adolescent crime, teenage pregnancy.

Early intervention is fundamental. Parents, doctors and teachers need to become more open and informed, since mental illness is a common part of life. Schools need to prioritise children’s well-being and “life skills” should be added to the teaching curricula alongside mathematics and literature.

It is estimated that 31% of the world’s population is aged under 18, and 10% of them (which is equivalent to 220 million children) suffer from mental illness as it is illustrated in Figure 1. 

The costs of mental illness in children are quite considerable. Children with conduct disorder are four times more likely to commit a crime, take drugs, become teenage parents, depend on welfare, and attempt suicide, as it is illustrated in Table 1.

Figure-11

The costs of mental illness in children are quite considerable. Children with conduct disorder are four times more likely to commit a crime, take drugs, become teenage parents, depend on welfare, and attempt suicide, as it is illustrated in Table 1.

Table-11

The report estimated that in the UK alone, these children may cost in criminal justice, an amount equal to three years’ average wages.

These figures are severe enough by themselves. However, on top of that, at least 50% of the children who experience mental illness during their early years, will suffer from mental illness as an adult. [7] Their lives are more likely to be impoverished and unhappy, and they are much more likely to commit suicide.

The report mentions that these statistics shouldn’t be so high. Nowadays, there are multiple and effective treatments available for children suffering from mental illness. Besides, there is also an enormous opportunity in schools and communities to make significant changes that can reduce the likelihood of the problem in the first place.

Additionally, technology, and mobile health solutions are a huge advantage! Smartphone applications can contribute to monitor and train youths about mental health.

The WISH report encourages local communities and countries to focus on 10 Action Plans to improve the mental health of children around the world.

  • Community action: Every local community should implement a child well-being strategy. This plan should include an assessment of the needs of children and families; and the role of healthcare organisations, schools, and non-government organisations.
  • Parity of esteem: Mental health care for children and their parents should be widely available.
  • Universality: Health professionals should be trained to identify mental health problems in children, perinatal depression in mothers, and they should also be trained to treat these issues.
  • Professionals: Countries should train more professionals in evidence-based treatments, especially psychological therapy.
  • Well-being in Schools: The well-being of students should be the priority of every school, including the implementation of a Well-being Code of Conduct to which all teachers, parents, and students must adhere to.
  • Measurement: Schools should evaluate all student’s well-being on a continuous basis.
  • Add life-skills to the teaching curriculum: Schools should use evidence-based methods to provide explicit instruction in life throughout school life, especially in the early years.
  • Teacher Training: All teachers should be trained to notice and promote well-being and mental health.
  • Use of smartphone technology: Implement a smartphone-based program to promote mental health and well-being of the children.
  • The Sustainable development goals: The sustainable development goals should include physical and mental health.


The Monsenso mHealth solution can help facilitate the achievement six of the ten points included in the WISH Action Plan.

  • Use of smartphone technology and well-being at schools – The Monsenso smartphone app can help adolescents express any negative feelings they may be experiencing. This information can help care givers identify problems such as depression, anxiety, eating disorders, ADHD or even more severe diagnosis such as bipolar disorder or borderline.
  • Measurement – With help from the Monsenso mHealth platform, school personnel can identify if some students present any Triggers or Early Warning signs. Once symptoms are identified in a group of students, care givers can monitor this group closely to ensure they are receiving the support and attention they need.
  • Teacher training – The Monsenso web portal is so easy to use that care givers do not require any special training to use the system. However, since they are not trained as mental healthcare specialists, they will need some training to help them interpret the information provided through the self-assessments.
  • Parity of esteem – In most countries, there is a lack of resources and the waiting time to schedule an appointment with a mental healthcare specialist can be up to a year. The Monsenso mHealth solution can help school personnel identify the students who are experiencing symptoms of mental illness. Once a student has been monitored for a determined period and the symptoms continue, school personnel can recommend the family to seek professional help.
  • Add life-skills to the teaching curriculum – Since all students would be required to fill out the daily self-assessments to evaluate and monitor their mental health well-being, the class dialogue can be facilitated by the information on the system. Teachers can provide students with real, anonymous examples of a person experiencing symptoms. Additionally, students could be encouraged to talk to a school counsellor if they experience any of the symptoms discussed in class. Students could also be taught how to act if they notice any symptoms on their peers.

If you are interested in running a pilot with the Monsenso mHealth solution at your school, please contact us.

Reference:

Healthy Young Minds. Transforming the mental health of children. Report of the WISH Mental Health and Well-being in Children Forum 2015