Development and testing of a mobile application for identifying individuals high risk for depression in the general population

Introduction. Information Technology (IT) is a promising and quickly developing scientific and practical fileld. One of its traits is its ability to provide big numbers of people with everyday access.to information and tools. Our goal was to develop a mobile tool that can help measure the Ievel of psychiatric symptoms in any given person and without making any clinical diagnoses, offer that person information about probable conditions they might have and help they can get. In order for such an application to be available to the majority of smartphone users, we decided to incorporate into it the less-formal tools or measuring psychiatric symptoms.

The first test we included was the Luscher test as it is a rather well-investigated in relation to mood disorders tool that can be used as a screening method. The first dimension of psychiatric conditions we examined was affective disorders since they are common and in many cases their severity does not prevent people from using applications such as ours.

‍

0bjectives. Our aimΒ  wasΒ  toΒ  checkΒ  theΒ  abilityΒ  ofΒ  theΒ  short (8-color) version of the Lusher test introduced in a mobile gaming appllication, to differentiate patients with affective disorders from healthy individuals and to assess the severity of accompanying symptoms.

‍

Methods. The respondents were 62 healthy individuals and 17 in-patients with a diagnosis of an affective disorder (F32) under going treatment.Β  Β  ForΒ assessing the severity of depression we used the QIDS-SR16 inventory which has high sensitivity at the lowest grades of depressive symptoms. The application we developed as a part of Total Games company Goodville project was on its face Β«farmΒ» gaming application in which user is asked to plant trees and vegetables, gather the foods and communicate with characters. The test we incorporated into it was the short (8-color) version of the Lusher test, which includes questions about a color that is most or least preferred at the moment and choice of that color from 8 specific ones.Β 

To learn more about the study results, please check the full article -Β click here.

Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΈ тСстированиС мобильного прилоТСния для выявлСния Π»ΠΈΡ† с высоким риском дСпрСссии срСди насСлСния Π² Ρ†Π΅Π»ΠΎΠΌ

Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅. Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ (ИВ) - пСрспСктивная ΠΈ быстро Ρ€Π°Π·Π²ΠΈΠ²Π°ΡŽΡ‰Π°ΡΡΡ Π½Π°ΡƒΡ‡Π½ΠΎ-практичСская ΠΎΠ±Π»Π°ΡΡ‚ΡŒ. Одной ΠΈΠ· Π΅Π³ΠΎ особСнностСй являСтся ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€Π΅Π΄ΠΎΡΡ‚Π°Π²Π»ΡΡ‚ΡŒ Π±ΠΎΠ»ΡŒΡˆΠΎΠΌΡƒ количСству людСй Π΅ΠΆΠ΅Π΄Π½Π΅Π²Π½Ρ‹ΠΉ доступ ΠΊ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΈ инструмСнтам.

Наша Ρ†Π΅Π»ΡŒ состояла Π² Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎΠ±Ρ‹ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ ΠΌΠΎΠ±ΠΈΠ»ΡŒΠ½Ρ‹ΠΉ инструмСнт, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΏΠΎΠΌΠΎΠΆΠ΅Ρ‚ ΠΈΠ·ΠΌΠ΅Ρ€ΠΈΡ‚ΡŒ ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ психиатричСских симптомов Ρƒ любого ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠ³ΠΎ Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ, Π½Π΅ ставя Π½ΠΈΠΊΠ°ΠΊΠΈΡ… клиничСских Π΄ΠΈΠ°Π³Π½ΠΎΠ·ΠΎΠ², ΠΏΡ€Π΅Π΄ΠΎΡΡ‚Π°Π²ΠΈΡ‚ΡŒ этому Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΡƒ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡŽ ΠΎ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… состояниях, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Ρƒ Π½Π΅Π³ΠΎ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ, ΠΈ ΠΏΠΎΠΌΠΎΡ‡ΡŒ ΠΈΠΌ ΠΏΠΎΠ»ΡƒΡ‡ΠΈΡ‚ΡŒ. Для Ρ‚ΠΎΠ³ΠΎ Ρ‡Ρ‚ΠΎΠ±Ρ‹ Ρ‚Π°ΠΊΠΎΠ΅ ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ Π±Ρ‹Π»ΠΎ доступно Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Ρƒ ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»Π΅ΠΉ смартфонов, ΠΌΡ‹ Ρ€Π΅ΡˆΠΈΠ»ΠΈ Π²ΠΊΠ»ΡŽΡ‡ΠΈΡ‚ΡŒ Π² Π½Π΅Π³ΠΎ ΠΌΠ΅Π½Π΅Π΅ Ρ„ΠΎΡ€ΠΌΠ°Π»ΡŒΠ½Ρ‹Π΅ инструмСнты для измСрСния психиатричСских симптомов.

ΠŸΠ΅Ρ€Π²Ρ‹ΠΌ тСстом, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΌΡ‹ Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ, Π±Ρ‹Π» тСст Π›ΡŽΡˆΠ΅Ρ€Π°, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ ΠΎΠ½ довольно Ρ…ΠΎΡ€ΠΎΡˆΠΎ ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΉ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ расстройств настроСния инструмСнт, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использован Π² качСствС ΠΌΠ΅Ρ‚ΠΎΠ΄Π° скрининга. ΠŸΠ΅Ρ€Π²Ρ‹ΠΌ аспСктом психиатричСских состояний, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΡ‹ исслСдовали, Π±Ρ‹Π»ΠΈ Π°Ρ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹Π΅ расстройства, ΠΏΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ ΠΎΠ½ΠΈ распространСны, ΠΈ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΈΡ… случаях ΠΈΡ… Ρ‚ΡΠΆΠ΅ΡΡ‚ΡŒ Π½Π΅ ΠΌΠ΅ΡˆΠ°Π΅Ρ‚ людям ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ прилоТСния, ΠΏΠΎΠ΄ΠΎΠ±Π½Ρ‹Π΅ Π½Π°ΡˆΠ΅ΠΌΡƒ.


Π¦Π΅Π»ΠΈ. Наша Ρ†Π΅Π»ΡŒ состояла Π² Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΏΡ€ΠΎΠ²Π΅Ρ€ΠΈΡ‚ΡŒ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ ΠΊΠΎΡ€ΠΎΡ‚ΠΊΠΎΠΉ (8-Ρ†Π²Π΅Ρ‚Π½ΠΎΠΉ) вСрсии тСста Π›ΡŽΡˆΠ΅Ρ€Π°, прСдставлСнной Π² мобильном ΠΈΠ³Ρ€ΠΎΠ²ΠΎΠΌ ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΈ, ΠΎΡ‚Π»ΠΈΡ‡Π°Ρ‚ΡŒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π°Ρ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹ΠΌΠΈ расстройствами ΠΎΡ‚ Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… людСй ΠΈ ΠΎΡ†Π΅Π½ΠΈΠ²Π°Ρ‚ΡŒ Ρ‚ΡΠΆΠ΅ΡΡ‚ΡŒ ΡΠΎΠΏΡƒΡ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… симптомов.


ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹. РСспондСнтами Π±Ρ‹Π»ΠΈ 62 Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈ 17 стационарных ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π΄ΠΈΠ°Π³Π½ΠΎΠ·ΠΎΠΌ Π°Ρ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ΅ расстройство (F32), проходящих Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅. Для ΠΎΡ†Π΅Π½ΠΊΠΈ тяТСсти дСпрСссии ΠΌΡ‹ использовали опись QIDS-SR16, которая ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ высокой Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ ΠΏΡ€ΠΈ самых Π½ΠΈΠ·ΠΊΠΈΡ… стСпСнях дСпрСссивных симптомов. ΠŸΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅ Goodville прСдставляСт ΠΈΠ· сСбя ΠΌΠΎΠ±ΠΈΠ»ΡŒΠ½ΡƒΡŽ ΠΈΠ³Ρ€Ρƒ Π² ΠΆΠ°Π½Ρ€Π΅ Β«Ρ„Π΅Ρ€ΠΌΠ°Β», Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŽ прСдлагаСтся ΡΠ°ΠΆΠ°Ρ‚ΡŒ Π΄Π΅Ρ€Π΅Π²ΡŒΡ, ΠΎΠ²ΠΎΡ‰ΠΈ ΠΈ Ρ„Ρ€ΡƒΠΊΡ‚Ρ‹, ΡΠΎΠ±ΠΈΡ€Π°Ρ‚ΡŒ ΡƒΡ€ΠΎΠΆΠ°ΠΉ, Ρ€Π°Π·Π²ΠΎΠ΄ΠΈΡ‚ΡŒ ΠΆΠΈΠ²ΠΎΡ‚Π½Ρ‹Ρ… ΠΈ ΠΎΠ±Ρ‰Π°Ρ‚ΡŒΡΡ с пСрсонаТами.


ΠžΠ·Π½Π°ΠΊΠΎΠΌΠΈΡ‚ΡŒΡΡ с Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌΠΈ ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎ ссылкС.

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Development and testing of a mobile application for identifying individuals high risk for depression in the general population

Oleg Skugarevsky
Andrew Sokol
Marat Assanovich
Mikhail Kaspartov
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Introduction. Information Technology (IT) is a promising and quickly developing scientific and practical fileld. One of its traits is its ability to provide big numbers of people with everyday access.to information and tools. Our goal was to develop a mobile tool that can help measure the Ievel of psychiatric symptoms in any given person and without making any clinical diagnoses, offer that person information about probable conditions they might have and help they can get. In order for such an application to be available to the majority of smartphone users, we decided to incorporate into it the less-formal tools or measuring psychiatric symptoms.

The first test we included was the Luscher test as it is a rather well-investigated in relation to mood disorders tool that can be used as a screening method. The first dimension of psychiatric conditions we examined was affective disorders since they are common and in many cases their severity does not prevent people from using applications such as ours.

‍

0bjectives. Our aimΒ  wasΒ  toΒ  checkΒ  theΒ  abilityΒ  ofΒ  theΒ  short (8-color) version of the Lusher test introduced in a mobile gaming appllication, to differentiate patients with affective disorders from healthy individuals and to assess the severity of accompanying symptoms.

‍

Methods. The respondents were 62 healthy individuals and 17 in-patients with a diagnosis of an affective disorder (F32) under going treatment.Β  Β  ForΒ assessing the severity of depression we used the QIDS-SR16 inventory which has high sensitivity at the lowest grades of depressive symptoms. The application we developed as a part of Total Games company Goodville project was on its face Β«farmΒ» gaming application in which user is asked to plant trees and vegetables, gather the foods and communicate with characters. The test we incorporated into it was the short (8-color) version of the Lusher test, which includes questions about a color that is most or least preferred at the moment and choice of that color from 8 specific ones.Β 

To learn more about the study results, please check the full article -Β click here.

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