Our future tech-savvy clinicians: What can we expect and how do we get there?

Our future tech-savvy clinicians: What can we expect and how do we get there?

It is no secret that our world is constantly changing towards becoming more digitized, and so is healthcare. Earlier, we discussed the top pain points in the delivery of mental healthcare and how digital technology can help. Now, we want to look at the clinicians of the future – how tech-savvy will they need to be, and what are the main benefits and challenges they expect to face in relation to digital solutions?

Where are we today?
The digital era has arrived in today’s healthcare settings. A large study by Elsevier Health (2022), involving over 2800 clinicians and nurses from 111 markets, found that 88% of clinicians acknowledge the significantly growing importance of being technologically literate compared to 10 years ago [1].

Today’s electronic medical records (EMRs) can store large amounts of patient information. However, they also cause frustrations among clinicians. Many healthcare professionals report that contemporary EMR systems are too time-consuming due to the need for frequent manual data inputting, significantly adding to their already heavy caseloads [1]. Additionally, it has been found that as many as 69% of clinicians record feeling overwhelmed with handling the “growing volume of patient data” [1].

What are the drivers of change?
Covid-19 has particularly shown the relevance and benefits of real-world data (RWD) collected in real-time. During the pandemic, “data took center stage”, and many patients became more comfortable with their data being utilized “in informing decisions” [1]. In addition, patients are becoming more empowered globally, and many are utilizing digital health applications to better manage their own health [1].

What can we expect in the future?
The Elsevier Health study (2022) shows that 77% of clinicians expect tech companies to become “key stakeholders in managing healthcare systems in 10 years”, and that the majority of clinicians (70%) believe an increased use of digital technologies will transform healthcare positively [1].
Most clinicians (79%) therefore also expect future EMRs to integrate a variety of data sources, such as “patient consumer health app data” [1]. The integration of digital solutions in future EMRs is expected to be beneficial for its potential to help clinicians communicate with their patients more effectively and make more informed clinical decisions. Importantly, healthcare professionals believe digital technologies and remote monitoring tools could help them to handle the growing patient data volumes they are currently feeling overwhelmed with [1].

How do we get there?
67% of clinicians agree “they will need to become experts in the use of [digital technologies] in the future” [1]. However, many clinicians (83%) do not feel sufficiently tech-savvy currently. Thus, they will need the right access, support, and education. One of the key focus points, therefore, needs to be giving clinicians training and confidence in their ability to use digital technologies [1], as these will only be effective in healthcare if clinicians are adept at using them.

How Monsenso enables clinicians on the path to digitalization
Monsenso is a digital health company that enables better outcomes for patients and clinicians through data-driven decisions. We are focused on mental health and user-centred in designing our solutions for patients and clinicians. Easing clinicians’ workloads by providing them with a better overview of their patients’ data and conditions is one of our priorities when working with healthcare professionals. When clinicians use our solution, they are not being left alone. In-depth workshops during the planning and implementation phase ensure clinicians will feel 100% comfortable and confident in using the Monsenso solution, and our friendly support team provides help whenever needed. Our cloud-based platform is a CE-marked medical device (Class 1, pending Class 2a and MDR certification) that is HIPAA compliant, with certifications in ISO 13485, ISO 27001, Cyber Essentials and TGA. Our solution has been clinically and scientifically validated by over 70+ peer-reviewed studies and can be configured for applications across mental health conditions. We work with healthcare systems, life sciences and research organisations globally. Book a demo to learn more.

References:
[1] Elsevier Health (2022). Clinician of the Future Report 2022.
https://www.elsevier.com/connect/clinician-of-the-future

UK National Schizophrenia Awareness Day 2022 – A mental illness in need of destigmatization

UK National Schizophrenia Awareness Day 2022 – A mental illness in need of destigmatization

July 25th is National Schizophrenia Awareness Day in the UK, aiming at shining light on “what it means to live with this much misunderstood and often stigmatized mental health condition”, fighting prejudice surrounding it, as well as seeking to raise awareness of and support for its treatment [1].

What is schizophrenia?
Individuals with schizophrenia experience disruptions in their thought processes and perceptions, as well as in social interactions and emotional responsiveness. The mental illness, usually including psychotic symptoms such as delusions and hallucinations, can be highly disabling to people suffering from it [2].

Economic costs of schizophrenia
Worldwide, around 24 million people are currently diagnosed with schizophrenia [3] – in the UK it is over 685.000 people (approximately 1% of the population) [4].
Schizophrenia has a large economic cost. It accounts for approximately “30% of all spending on adult mental health in the NHS” [5], estimated at 11.8 million GBP in England alone in 2012 [6]. Generally, it costs around 6 times as much to treat an individual with schizophrenia over its lifetime than it costs to treat a heart disease patient [5].

Stigmatization of schizophrenia
Schizophrenia affects all genders and individuals from all social backgrounds, and onsets most often in the late teenage years or in the early twenties [5]. The mental illness severely impacts affected peoples’ quality of life. In the UK, only around 13% of individuals suffering from schizophrenia are working [5], and it has been found that affected people are “2 to 3 times more likely to die early than the general population” [3]. Schizophrenia is also a significant burden that impacts productivity of family caregivers, who on average spend 22 hours a week for 15 years of their life taking care of their relative with schizophrenia.
Additionally, stigma against people suffering from the condition is still “intense and widespread” today [3]. Individuals with schizophrenia oftentimes experience social exclusion, and/or discrimination due to the disease, and some even experience limited “access to general health care, education, housing, and employment” [3]. According to the World Health Organization (2022), these issues often only exacerbate the suffering peoples’ symptoms [3].

What needs to change?
Schizophrenia is not as rare as one might think, and prejudices surrounding the illness unfortunately only further increase the burden of the disease on people suffering from it. It is therefore important to raise awareness about schizophrenia, destigmatize the mental illness, and help to ensure that individuals with schizophrenia are not facing discrimination. Given the high economic costs of schizophrenia, it is also important to continuously work on improving the treatment support provided. This includes seeking for new ways to help individuals suffering from the mental health condition.

How digital solutions for mental health can help
The use of digital platforms for remote patient monitoring and health assessment, as well as real-time patient analytics, could enable personalised treatment and improved quality of care [7]. Digital solutions for mental health could therefore offer the potential to empower and engage individuals with schizophrenia to better manage their mental health, facilitating treatment for clinical professionals and empowering family caregivers to help drive down economic costs and increase productivity.
At Monsenso, we have worked with schizophrenia in both research and clinical settings. Our digital mental health solution has helped many individuals with schizophrenia to better understand their conditions and live a more independent life, as well as helped clinicians to better support their patients. We are proud to support the National Schizophrenia Awareness Day in the UK and will continue to spread knowledge about the mental health condition and offer our support to individuals affected and clinicians providing treatment for the mental illness.
——————————————————————————————————-

About Monsenso
Monsenso is a digital health company that enables better outcomes for patients and clinicians through data-driven decisions. We are focused on mental health and user-centred in designing our solutions for patients and clinicians. Our cloud-based platform is a CE-marked medical device (Class 1, pending Class 2a and MDR certification) that is HIPAA compliant, with certifications in ISO 13485, ISO 27001, Cyber Essentials and TGA. Our solution has been clinically and scientifically validated by over 70+ peer-reviewed studies and can be configured for applications across mental health conditions. We work with healthcare systems, life sciences and research organisations globally. Book a demo to learn more.

References:
[1] Awareness Days (n.d.). National Schizophrenia Awareness Day 2022.
https://www.awarenessdays.com/awareness-days-calendar/national-schizophrenia-awareness-day-2022/#:~:text=National%20Schizophrenia%20Awareness%20Day%2C%20marked,with%20a%20diagnosis%20of%20schizophrenia.

[2] National Institute of Mental Health (n.d.). Schizophrenia.
https://www.nimh.nih.gov/health/statistics/schizophrenia#:~:text=Schizophrenia-,Definition,be%20both%20severe%20and%20disabling.

[3] World Health Organization (2022). Schizophrenia.
https://www.who.int/news-room/fact-sheets/detail/schizophrenia#:~:text=Schizophrenia%20affects%20approximately%2024%20million,%25

[4] Royal College of Psychiatrists (2015). Schizophrenia.
https://www.rcpsych.ac.uk/mental-health/problems-disorders/schizophrenia

[5] Living With Schizophrenia (2017). Facts and Figures.
https://livingwithschizophreniauk.org/facts-and-figures/

[6] Ride, J., Kasteridis, P., Gutacker, N., Aragon Aragon, MJ., Jacobs, R. (2020). Healthcare Costs for People with Serious Mental Illness in England: An Analysis of Costs Across Primary Care, Hospital Care, and Specialist Mental Healthcare. Appl Health Econ Health Policy 18(2):177-188.
doi: 10.1007/s40258-019-00530-2.

[7] Elsevier Health (2022). Clinician of the Future Report 2022.
https://www.elsevier.com/connect/clinician-of-the-future

Top pain points in the delivery of mental healthcare and how digital technology can help

Top pain points in the delivery of mental healthcare and how digital technology can help

Close to 1 in 7 people suffer from a mental health condition [1], a leading cause of disability globally [2].
However, 75% of people with mental illnesses do not receive any treatment [3], highlighting the issue of access to mental healthcare, which has only been exacerbated by Covid.

The shortage of trained professionals in mental healthcare is a key contributor to the issue of access [4]. Patients are faced with long waiting queues to receive care [5], with no promise of quality care, given clinicians’ heavy caseload [4]. It is not uncommon that patients only receive 5 mins of clinicians’ time after months of waiting for the appointment [6]. Indeed, a large study by Elsevier Health (2022), involving over 2800 clinicians and nurses from 111 markets, found that almost 1 in 2 of clinicians globally (69% in Europe) admit that time they are able to devote to each individual patient is insufficient “to give them good care” [4].

Clearly, there are plenty of opportunities to improve patients’ access, speed to, and quality of care globally. Promisingly, the same study found that over half of the clinicians (56%) state that patients have become more empowered to manage their own conditions, and that clinicians (62%) expect a change in role towards being more in partnership with patients over the next decade. Given that mental health costs a whopping $16 trillion to the global economy by 2030 [7] and growing, there is an urgent need for solutions that are designed to tackle these issues in a scalable and cost-effective way.

The use of digital technology offers the potential to address this matter. In particular, the use of digital platforms for remote patient monitoring and health assessment could improve access and speed to care, and real-time patient analytics could enable personalised treatment and improved quality of care [4]. Ultimately, to fully benefit from such technology, patient data needs to be managed securely, the design of the solution should focus on the needs of its users, and it should be continually assessed on its ability to deliver value to patients and clinicians.

About Monsenso:
Monsenso is a digital health company that enables better outcomes for patients and clinicians through data-driven decisions. We are focused on mental health and user-centred in designing our solutions for patients and clinicians. Our cloud-based platform is a CE-marked medical device (Class 1, pending Class 2a and MDR certification) that is HIPAA compliant, with certifications in ISO 13485, ISO 27001, Cyber Essentials, and TGA. Our solution has been clinically and scientifically validated by over 70+ peer-reviewed studies and can be configured for applications across mental health conditions. We work with healthcare systems, life sciences, and research organisations globally. To learn more, visit www.monsenso.com

References:
[1] World Health Organization (2020). World Mental Health Day: an opportunity to kick-start a massive scale-up in investment in mental health.
https://www.who.int/news/item/27-08-2020-world-mental-health-day-an-opportunity-to-kick-start-a-massive-scale-up-in-investment-in-mental-health#:~:text=Mental%20health%20is%20one%20of,every%2040%20seconds%20by%20suicide.

[2] Wainberg, M. L., Scorza, P., Shultz, J. M., Helpman, L., Mootz, J. J., Johnson, K. A., Neria, Y., Bradford, J. E., Oquendo, M. A., & Arbuckle, M. R. (2017). Challenges and Opportunities in Global Mental Health: a Research-to-Practice Perspective. Current psychiatry reports 19(5): 28. https://doi.org/10.1007/s11920-017-0780-z.

[3] Marchildon, J. (2020). 4 Barriers to Accessing Mental Health Services Around the World.
https://www.globalcitizen.org/en/content/barriers-to-mental-health-around-the-world/.

[4] Elsevier Health (2022). Clinician of the Future Report 2022.
https://www.elsevier.com/connect/clinician-of-the-future.

[5] Royal College of Psychiatrist (2020). Two-fifths of patients waiting for mental health treatment forced to resort to emergency or crisis services.
https://www.rcpsych.ac.uk/news-and-features/latest-news/detail/2020/10/06/two-fifths-of-patients-waiting-for-mental-health-treatment-forced-to-resort-to-emergency-or-crisis-services.

[6]. Becker, G., Kempf, D.E., Xander, C.J. et al. (2010). Four minutes for a patient, twenty seconds for a relative – an observational study at a university hospital. BMC Health Serv Res 10(94).
https://bmchealthservres.biomedcentral.com/articles/10.1186/1472-6963-10-94.

[7] Lancet Commission. (2018). Report: Mental illness will cost the world $16 trillion (USD) by 2030. Mental Health Weekly 28(39): 1–8. https://doi.org/10.1002/mhw.31630.

New research: Can smartphone data be a digital marker for discriminating bipolar disorder from unipolar disorder?

New research: Can smartphone data be a digital marker for discriminating bipolar disorder from unipolar disorder?

Unipolar disorder (UD) refers to individuals suffering from depression without experiencing mania, whereas individuals suffering from bipolar disorder (BD) usually face episodes of mania in addition to their depression [1]. Clinicians often encounter difficulties identifying whether depressed patients suffer from BD or UD. Given that the course of illness and related treatments vary for patients with BD and UD, the discrimination between these two disorders is critical [2].

A new research paper has just been published on “Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder” in the Journal of Affective Disorders [2].

This new research investigated whether using the information on activity and mobility of patients with BD and UD as supplementary objective measure could assist in the discrimination between the two conditions [2]. Data for this study has been collected as part of the RADMIS trials, two similarly composed randomized controlled trials (RCTs) that investigated the effect of daily smartphone-based monitoring including a clinical feedback loop in individuals suffering from BD and UD. The Monsenso digital health solution was used for the collection of smartphone-based patient data in the intervention group of the trials [3].

The present study included gathering both passively collected smartphone-based location data and patient-reported smartphone-based data on mood from 65 patients with BD and 75 patients with UD [2]. Smartphone-based self-assessments of mood were completed by all patients, and smartphone data on location reflecting mobility patterns, routine and location entropy (chaos) was collected passively from all patients on a continuous basis over the course of six months [2]. The data collection was followed by an extensive data analysis, comparing differences between the two groups.

Results of the study show patients suffering from BD have significantly lower mobility in, e.g., their total time of daily movement during depressive periods (eB 0.74, 95% CI 0.57; 0.97, p = 0.027). Additionally, the area under the curve (AUC) of location data was rather high in classifying patients with BD compared with patients with UD, although results of the study may be limited by relatively low symptom severity of the participating patients contributing to the dimension of the AUC [2].

The study results suggest alterations in location data may be a promising digital diagnostic marker in patients with BD and UD, and smartphone data on mobility patterns could hence help in discriminating between the two disorders. 

Mads Frost, PhD, Co-Founder & Chief Information Security Officer at Monsenso, who has contributed to the research says: “The work on comparing mobility patterns between patients with bipolar disorder and patients with unipolar disorder has been highly interesting, and we look forward to further explore our data looking for potential digital diagnostic markers”.

 “We are excited that Monsenso is a part of promising new research on digital diagnostic markers, and contributes to the research in and the treatment of mental health and neurological disorders”, says Thomas Lethenborg, CEO at Monsenso.

About Monsenso:
Monsenso is an innovative technology company offering a medical grade digital health solution. Our mission is to help provide better mental health to more people at lower costs. Our solution helps optimise the treatment of mental disorders and gives a detailed overview of an individual’s mental health through the collection of outcome, adherence, and behavioural data. It connects individuals, carers, and health care providers to enable personalised treatment, remote care, and early intervention. Based on continuous research and development, our team is committed to developing solutions that fit seamlessly into the lives of individuals, increase their quality of life and improve the efficacy of mental health treatment. To learn more, visit www.monsenso.com

Research publication:
You can find the research publication in the Journal of Affective disorders here.

References:
[1] Quilty, L., Pelletier, M., DeYoung, C.G. & Bagby, M. (2013). Hierarchical personality traits and the distinction between unipolar and bipolar disorders. Journal of Affective Disorders 147(1-3): 247-254. https://www.sciencedirect.com/science/article/pii/S0165032712007604#bib2

[2] Faurholt-Jepsen, M., Busk, J., Rohani D.A., Frost, M. Tønning, M.L., Bardram, J.E. & Kessing, L.V. (2022). Differences in mobility patterns according to machine learning models in patients with bipolar disorder and patients with unipolar disorder. Journal of Affective Disorders 306: 246-253. https://www.sciencedirect.com/science/article/pii/S0165032722003019?dgcid=author

[3] Faurholt-Jepsen, M., Tønning, M.L., Frost, M., Martiny, K., Tuxen, N., Rosenberg, N., Busk, J., Winther, O., Thaysen-Petersen, D., Aamund, K.A. & Tolderlund, L., Bardram, J.E. & Kessing, L.V. (2020). Reducing the rate of psychiatric re-admissions in bipolar disorder using smartphones—The RADMIS trial. Acta Psychiatrica Scandinavia, 143(5): 453-465. https://onlinelibrary.wiley.com/doi/10.1111/acps.13274

Monsenso digital health solution is HIPAA compliant

Monsenso digital health solution is HIPAA compliant

Monsenso A/S, a technology leader in digital health solutions for mental health is HIPAA compliant. The Monsenso digital health solution that connects individuals and clinicians to provide optimal care adheres to the highest standards for data security and privacy. In addition to being HIPAA compliant, Monsenso holds ISO 13485 and ISO 27001 certifications, Cyber Essentials certification, a TGA certification and class 1 CE mark.

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) was enacted by the U.S. Department of Health and Human Services (HHS) and is a federal law that mandates the creation of national standards to protect patients’ sensitive health information from disclosure without their consent or knowledge.

To read more about our data protection, download our Data management & Security fact sheet.

About Monsenso

Monsenso is an innovative technology company offering a digital health solution. Our mission is to help provide better mental health to more people at lower costs. Our solution helps optimise the treatment of mental disorders and gives a detailed overview of an individual’s mental health through the collection of outcome, adherence and behavioural data. It connects individuals, carers and health care providers to enable personalised treatment, remote care and early intervention. Based on continuous research and development, our team is committed to developing solutions that fit seamlessly into the lives of individuals, increase their quality of life and improve the efficacy of mental health treatment. To learn more visit www.monsenso.com.

For additional information contact:

Bettina van Wylich-Muxoll
Chief Marketing Officer
Monsenso
+45 22 70 47 24
marketing@monsenso.com

Mental health in an unequal world. World Mental Health Day 2021

Mental health in an unequal world. World Mental Health Day 2021

Mental illness, why bother if all goes well? Because the day it hits you or your loved ones, you may be faced with the harsh reality of “Mental Health in an unequal world”. Close to 1 billion people globally are living with a mental disorder. Yet, countries spend on avg. 2% of their national health budgets on mental health leaving a disproportionate gap between demand for mental health services and supply. Each year, October 10th marks the “World Mental Health Day”. This year the theme is “Mental Health in an Unequal World”. 

Originally chosen by the World Federation for Mental Health, the theme Mental Health in an Unequal World” refers to the inequality in access to health services in low- and middle-income countries, where between 75% and 95% of patients with mental disorders have no access to mental health services at all. Despite the universal nature and the magnitude of mental illness, the gap between demand for mental health services and supply remains substantial.

The global pandemic along with the climate crisis and social disarrangement lead the world to a difficult place. To date, the pandemic is impacting people of all ages and backgrounds: Illness, economic impact, job insecurity, and most importantly, physical distancing leading to social isolation and millions of people facing mental health issues.

  • Close to one billion people have a mental disorder and anyone can be affected.
  • Depression is a leading cause of disability worldwide and a major contributor to the global burden of disease. Globally, an estimated 5% of adults suffer from depression.
  • Globally, one in seven 10-19-year-olds suffers from a mental disorder. Half of all such disorders begin by the age of 14, but most go undiagnosed and untreated.
  • People with severe mental disorders like schizophrenia typically die 10-20 years earlier than the general population.
  • One in 100 deaths is by suicide. It is the fourth leading cause of death among young people aged 15-29.
  • The COVID -19 pandemic has had a significant impact on people’s mental health.

The World Federation for Mental Health also addresses the disparity between mental health investment and overall health. On average, countries spend only 2% of their national health budgets on mental health. This has changed little in recent years. Despite the scale of mental illness, the gap between demand for mental health services and supply remains substantial. Unaddressed mental health issues are now a leading global cause of disability and suffering. Yet only 10% receive “adequate” treatment – 75% receive no treatment at all.

The limited global availability of effective mental health treatments and a lack of objective measures of response to treatment, are some of the barriers in advancing patient outcomes. To reduce burden, it is critical to diagnose and monitor mood disorders using widely accessible, less costly, and scalable methods, which can enable a higher degree of specificity in mental health diagnoses and timely detection of clinical deterioration.

Building on the widespread adoption of smartphones, mobile health (mhealth) has gained significant interest as a means for capturing continuous, objectively observable and measurable data of patients’ behaviour and mental state. The data collected on smartphones and sensors represent a new approach aimed at measuring human behaviour and mental health, and thus an opportunity of detecting, assessing, and monitoring psychiatric disorders in a less costly and less burdensome way for the clinician.

The data collected on the smartphone are also referred to as digital biomarkers. These can be collected both passively through inbuilt sensors on the smartphone (physical activity and geolocation, social activity, text messages usage, phone usage, voice and speech pattern or wearables (sleep and activity), and actively via user engagement through self-monitored data/self-assessment data (mood, sleep, stress, medicine adherence).

By collecting this data between physician visits, clinicians can see fluctuations in patients’ mental states, providing a more holistic representation of the patient’s functioning over time. The data hereby offer the opportunity for clinicians to predict relevant outcomes in mood disorders and can thus serve as a tool of triage enabling to provide timely and preventative support to the individuals in critical need.

This approach, also known as digital-enabled psychiatry, has gained considerable interest and been extensively researched over the past decade to offer more people access to high-quality health and social care.

To learn more, visit our Research section here or watch a video on the opportunity of digital-enabled psychiatry from the Week of Health and Innovation conference 2021 in Denmark.

References:

https://wfmh.global/2021-world-mental-health-global-awareness-campaign-world-mental-health-day-theme/

https://www.who.int/publications/i/item/9789240031029

https://www.who.int/campaigns/world-mental-health-day/2021

https://www.who.int/key-messages

[1] https://www.who.int/gho/publications/world_health_statistics/EN_WHS2012_Full.pdf

[2] The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011

[3] OECD – 2015

[4] Economist Intelligence Unit – 2015