Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions

Background Patient retrospective recollection is a mainstay of assessing symptoms in mental health and psychiatry. However, evidence suggests that these retrospective recollections may not be as accurate as data collection though the experience sampling method (ESM), which captures patient data in “real time” and “real life.” However, the difficulties in practical implementation of ESM data collection have limited its impact in psychiatry and mental health. Smartphones with the capability to run mobile applications may offer a novel method of collecting ESM data that may represent a practical and feasible tool for mental health and psychiatry. Objective This paper aims to provide data on psychiatric patients’ prevalence of smartphone ownership, patterns of use, and interest in utilizing mobile applications to monitor their mental health conditions. Methods One hundred psychiatric outpatients at a large urban teaching hospital completed a paper-and-pencil survey regarding smartphone ownership, use, and interest in utilizing mobile applications to monitor their mental health condition. Results Ninety-seven percent of patients reported owning a phone and 72% reported that their phone was a smartphone. Patients in all age groups indicated greater than 50% interest in using a mobile application on a daily basis to monitor their mental health condition. Conclusions Smartphone and mobile applications represent a practical opportunity to explore new modalities of monitoring, treatment, and research of psychiatric and mental health conditions.

[1]  M. Csíkszentmihályi,et al.  Validity and Reliability of the Experience‐Sampling Method , 1987, The Journal of nervous and mental disease.

[2]  P. Delespaul,et al.  Time, context, and subjective experiences in schizophrenia. , 1989, Schizophrenia bulletin.

[3]  E. Diener,et al.  Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses , 2003 .

[4]  M. Husky,et al.  Social environments and daily life occurrence of psychotic symptoms , 2003, Social Psychiatry and Psychiatric Epidemiology.

[5]  H. Milionis,et al.  Vascular Health and Risk Management Dovepress Management of Dyslipidemias with Fibrates, Alone and in Combination with Statins: Role of Delayed-release Fenofibric Acid , 2022 .

[6]  Hongshik Ahn,et al.  Computerized experience sampling method (ESMc): assessing feasibility and validity among individuals with schizophrenia. , 2006, Journal of psychiatric research.

[7]  Arto Ohinmaa,et al.  The Effectiveness of Telemental Health Applications: A Review , 2008, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[8]  J. Os,et al.  Experience sampling research in psychopathology: opening the black box of daily life , 2009, Psychological Medicine.

[9]  Hongshik Ahn,et al.  Concurrent measurement of "real-world" stress and arousal in individuals with psychosis: assessing the feasibility and validity of a novel methodology. , 2010, Schizophrenia bulletin.

[10]  G. Parker,et al.  Community Attitudes to the Appropriation of Mobile Phones for Monitoring and Managing Depression, Anxiety, and Stress , 2010, Journal of medical Internet research.

[11]  J. Smyth,et al.  Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. , 2010, British journal of health psychology.

[12]  D. Mohr,et al.  Harnessing Context Sensing to Develop a Mobile Intervention for Depression , 2011, Journal of medical Internet research.

[13]  Illhoi Yoo,et al.  A Systematic Review of Healthcare Applications for Smartphones , 2012, BMC Medical Informatics and Decision Making.

[14]  N. Nicolson,et al.  The dynamic interplay between negative and positive emotions in daily life predicts response to treatment in depression: a momentary assessment study. , 2012, The British journal of clinical psychology.

[15]  Susan M. Kaiser,et al.  Mobile Technologies Among People with Serious Mental Illness: Opportunities for Future Services , 2013, Administration and Policy in Mental Health and Mental Health Services Research.

[16]  Wanda Pratt,et al.  Healthcare in the pocket: Mapping the space of mobile-phone health interventions , 2012, J. Biomed. Informatics.

[17]  Neil Krishan Aggarwal,et al.  Applying mobile technologies to mental health service delivery in South Asia. , 2012, Asian journal of psychiatry.

[18]  J. Ainsworth,et al.  The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application , 2012, BMC Psychiatry.

[19]  C. Depp,et al.  A Pilot Study of Mood Ratings Captured by Mobile Phone Versus Paper-and-Pencil Mood Charts in Bipolar Disorder , 2012, Journal of dual diagnosis.

[20]  J. Os,et al.  Emotion recognition in psychosis: No evidence for an association with real world social functioning , 2012, Schizophrenia Research.

[21]  Lucy Yardley,et al.  Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study , 2013, Journal of medical Internet research.

[22]  M. Wichers The dynamic nature of depression: a new micro-level perspective of mental disorder that meets current challenges , 2013, Psychological Medicine.

[23]  Christine Barrowclough,et al.  A Comparison of Two Delivery Modalities of a Mobile Phone-Based Assessment for Serious Mental Illness: Native Smartphone Application vs Text-Messaging Only Implementations , 2013, Journal of medical Internet research.

[24]  Donald M Hilty,et al.  The effectiveness of telemental health: a 2013 review. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[25]  J Ainsworth,et al.  Affective Instability Prior to and after Thoughts about Self-Injury in Individuals With and At-Risk of Psychosis: A Mobile Phone Based Study , 2013, Archives of suicide research : official journal of the International Academy for Suicide Research.