Diagnostic accuracy and feasibility of a net-based application for diagnosing common psychiatric disorders

Malhotra, Savita; Chakrabarti, Subho; Shah, Ruchita; Sharma, Manorma; Sharma, Kanupriya; Singh, Hardeep

doi:10.1016/j.psychres.2015.09.020

Cited by 8 publications

(10 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found four studies that evaluated mobile and online tools for the diagnosis and detection of mental disorders (table 2). Web-based screening tools designed to be delivered on mobile phones by non-medical health workers were effective for diagnosing depression 27 or common psychiatric disorders 28,30 in clinical settings in India. In South Africa, a mobile short message service (SMS) text-messaging screening tool for depression was used to reach refugees, mostly from Zimbabwe or the Democratic Republic of the Congo, residing within social services settings.…”

Section: Resultsmentioning

confidence: 99%

“…We found that technology can support treatment and clinical care, 32–35,41–43 connect patients or community providers with mental health specialists, 12–18 and can be used by non-medical health providers in local clinics for the diagnosis and detection of mental disorders. 27–30 Online education programmes are promising tools for developing skills in mental health care among community health workers or other non-specialist providers working in community or primary care settings. 21–25 Digital technologies could also extend the role of the small number of mental health specialists by facilitating the supervision and mentoring of non-medical care workers and coordinating delivery of mental health care.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature

Naslund

Aschbrenner

Araya

et al. 2017

The Lancet Psychiatry

430

298

View full text Add to dashboard Cite

Few individuals living with mental disorders around the globe have access to mental health care, yet most have access to a mobile phone. Digital technology holds promise for improving access to, and quality of, mental health care. We reviewed evidence on the use of mobile, online, and other remote technologies for treatment and prevention of mental disorders in low-income and middle-income countries. Of the 49 studies identified, most were preliminary evaluations of feasibility and acceptability. The findings were promising, showing the potential effectiveness of online, text-messaging, and telephone support interventions. We summarised the evaluations as: technology for supporting clinical care and educating health workers, mobile tools for facilitating diagnosis and detection of mental disorders, technologies for promoting treatment adherence and supporting recovery, online self-help programmes for individuals with mental disorders, and programmes for substance misuse prevention and treatment. Continued research is needed to rigorously evaluate effectiveness, assess costs, and carefully consider potential risks of digital technology interventions for mental disorders, while determining how emerging technologies might support the scale-up of mental health treatment and prevention efforts across low-resource settings.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature

Naslund

Aschbrenner

Araya

et al. 2017

The Lancet Psychiatry

430

298

View full text Add to dashboard Cite

show abstract

“…In the first phase, the non-computerized version of the tool was tested against semi-structured clinical interviews in 100 patients 9 . During the second phase, the online tool was compared with the MINI in 274 patients and inter-rater reliability was also tested 11 . The results from these studies conducted at the nodal centre suggested that the application had acceptable level of accuracy and reliability and was feasible to use.…”

Section: Discussionmentioning

confidence: 99%

“…The development, basic structure and content of the diagnostic module for adults have been described elsewhere 9 11 . Briefly, the diagnostic module assesses for 18 disorders in adults, namely, delirium, dementia, mania (current and past), depression (current and past), dysthymia, psychosis, obsessive-compulsive disorder (OCD), generalized anxiety disorder (GAD), panic disorder, phobias, reaction to severe stress and adjustment disorder, somatoform disorder, dissociative disorder, neurasthenia, sexual dysfunctions, alcohol dependence, substance dependence and mental retardation (MR), which are commonly seen in clinics.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Telepsychiatry clinical decision support system used by non-psychiatrists in remote areas

Malhotra¹,

Chakrabarti²,

Shah³

et al. 2017

Indian Journal of Medical Research

Self Cite

View full text Add to dashboard Cite

Background & objectives:A knowledge-based, logically-linked online telepsychiatric decision support system for diagnosis and treatment of mental disorders was developed and validated. We evaluated diagnostic accuracy and reliability of the application at remote sites when used by non-psychiatrists who underwent a brief training in its use through video-conferencing.Methods:The study was conducted at a nodal telepsychiatry centre, and three geographically remote peripheral centres. The diagnostic tool of application had a screening followed by detailed criteria-wise diagnostic modules for 18 psychiatric disorders. A total of 100 consecutive consenting adult outpatients attending remote telepsychiatry centres were included. To assess inter-rater reliability, patients were interviewed face to face by non-specialists at remote sites using the application (active interviewer) and simultaneously on online application via video-conferencing by a passive assessor at nodal centre. Another interviewer at the nodal centre rated the patient using Mini-International Neuropsychiatric Interview (MINI) for diagnostic validation.Results:Screening sub-module had high sensitivity (80-100%), low positive predictive values (PPV) (0.10-0.71) but high negative predictive value (NPV) (0.97-1) for most disorders. For the diagnostic sub-modules, Cohen's kappa was >0.4 for all disorders, with kappa of 0.7-1.0 for most disorders. PPV and NPV were high for most disorders. Inter-rater agreement analysis revealed kappa >0.6 for all disorders.Interpretation & conclusions:Diagnostic tool showed acceptable to good validity and reliability when used by non-specialists at remote sites. Our findings show that diagnostic tool of the telepsychiatry application has potential to empower non-psychiatrist doctors and paramedics to diagnose psychiatric disorders accurately and reliably in remote sites.

show abstract

Digital Technology, Including Telemedicine, in the Management of Mental Illness

Naslund

Bartels

Marsch

2019

Revolutionizing Tropical Medicine

View full text Add to dashboard Cite

Diagnostic accuracy and feasibility of a net-based application for diagnosing common psychiatric disorders

Cited by 8 publications

References 17 publications

Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature

Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature

Telepsychiatry clinical decision support system used by non-psychiatrists in remote areas

Digital Technology, Including Telemedicine, in the Management of Mental Illness

Contact Info

Product

Resources

About