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[{"key": "dc.contributor.advisor", "value": "Tyrv\u00e4inen, Pasi", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "Silvennoinen, Minna", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "Kypp\u00f6, Jorma", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Ranta, Kristian", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2019-12-02T10:05:32Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2019-12-02T10:05:32Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2019", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/66598", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Digitaalisten hoitoratkaisuiden ka\u0308ytto\u0308o\u0308notto on vahvassa kasvussa terveydenhuollossa ympa\u0308ri maailmaa. Ta\u0308ma\u0308 ei ole ylla\u0308tta\u0308va\u0308a\u0308 silla\u0308 na\u0308iden hoitojen on todistettu nopeuttavan hoitoon pa\u0308a\u0308sya\u0308 seka\u0308 parantavan hoidon vaikuttavuutta. Digitaaliset hoitoratkaisut ovat digitaalisesti toimivia hoitointerventioita, joita on viime vuosina kehitetty hoitamaan monia kroonisia sairauksia. Niiden on todistettu olevan tehokkaita useiden sairauksien hoidossa. Niiden ka\u0308yto\u0308n yhteydessa\u0308 ei yleensa\u0308 esiinny sivuvaikutuksia toisin kuin la\u0308a\u0308kehoidoissa. Digitaaliset hoitomuodot ovat jakelunsa suhteen riippuvaisia a\u0308lypuhelimista ja tietokoneista. Ne ovat usein tyypilta\u0308a\u0308n ka\u0308ytta\u0308ytymistapojen muutokseen ta\u0308hta\u0308a\u0308via\u0308 interventioita. Na\u0308ista\u0308 erityispiirteista\u0308 johtuen niiden ka\u0308ytto\u0308o\u0308nottoon liittyy uudenlaisia haasteita.\nTa\u0308ma\u0308 pro gradu -tutkielma on tutkimus ka\u0308ytta\u0308ja\u0308hyva\u0308ksynna\u0308n ja ka\u0308ytto\u0308myo\u0308ntyvyyden vaikutuksista digitaalisten hoitomuotojen hoidon vaikuttavuuteen. Tutkielma koostuu kirjallisuuskatsauksesta seka\u0308 empiirisesta\u0308 tutkimusosiosta. Empiirinen tutkimus on tapaustutkimus, joka pohjautuu masennuksen hoitoon kehitetyn digitaalisen hoitomuodon anonyymiin potilastietoon. Potilastietoihin sisa\u0308ltyi 159 potilastietuetta, jotka pitiva\u0308t sisa\u0308lla\u0308a\u0308n masennusoireiden muutoksen perustuen kliinisesti ka\u0308ytettyyn masennusoireita mittaavaan kyselyyn (PHQ-9) seka\u0308 ka\u0308ytta\u0308ja\u0308hyva\u0308ksynta\u0308a\u0308 mittaavia mittareita.\nTiedot analysoitiin, jotta ymma\u0308rretta\u0308isiin hypoteettista ka\u0308ytta\u0308ja\u0308hyva\u0308ksynna\u0308n, ka\u0308ytto\u0308myo\u0308ntyvyyden seka\u0308 hoidon vaikuttavuuden suhdetta. Korrelaatiota eri potilastiedoista rajattuihin alaryhmiin, ja kunkin alaryhma\u0308n saamaa hoidon vastetta, analysoitiin erilaisilla tilastoanalyysimenetelmilla\u0308, jotta voitaisiin tunnistaa mahdolliset hoidon vaikuttavuutta ennustavat tekija\u0308t.\nTilastoanalyysien tuloksena havaittiin, etta\u0308 silla\u0308 hakeutuivatko potilaat itse hoitoon vai ohjattiinko heida\u0308t hoitoon la\u0308hetteella\u0308, oli ero hoidon vaikuttavuuden suhteen (PHQ-9: 45.2% alenema vs. 28.8% alenema, CI >95%). Analyysien tuloksena havaittiin myo\u0308s, etta\u0308 ka\u0308ytto\u0308myo\u0308ntyvyys seka\u0308 potilaiden tekema\u0308t tietoisen la\u0308sna\u0308olon harjoitteet korreloivat hoidon vaikuttavuuden kanssa (R^2=0.026, R^2=0.04, CI>95%). Ta\u0308sta\u0308 ma\u0308a\u0308riteltiin hoidolle annos-vastesuhde.\nLopputulemana totean, kirjallisuuskatsaukseen ja tapaustutkimuksen tilastoanalyyseihin perustuen, etta\u0308 ka\u0308ytta\u0308ja\u0308hyva\u0308ksynna\u0308lla\u0308 ja ka\u0308ytto\u0308myo\u0308ntyvyydella\u0308 na\u0308ytta\u0308a\u0308 olevan vaikutus digitaalisten hoitomuotojen hoidon vaikuttavuuteen.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The adoption of digital health solutions in healthcare is growing strongly. This is not surprising since digital health tools and interventions have been shown to improve healthcare processes, cut healthcare expenditure as well as improve access and efficacy of care. Digital therapeutics (a subsegment of digital health) are digital treatment interventions for various illnesses and health conditions which have been shown to increase care efficacy and improve care delivery in many known diseases including diabetes, asthma and depression. They are also mostly void of any side effects in comparison to pharmacological treatments. Digital therapeutic interventions are dependent on smartphones and computers for their administration and are often behavioral interventions by nature. Thus, they present novel and unique challenges from a treatment adherence perspective compared to traditional treatments.\nThis master\u2019s thesis is a study of the impact of user acceptance in the efficacy of digital therapeutic interventions. This thesis consists of a literature review and of an empirical contribution in the form of a case study analysis which is based on a patient dataset from a digital therapeutic intervention for depression. The dataset consisted of 159 patient data records including depressive symptom reduction data based on a clinically validated depression symptom scale (PHQ-9) as well as user acceptance and user engagement related measures. The data was retrospectively analyzed to understand the hypothesized relationship of user acceptance and the efficacy of a digital therapeutic intervention for depression symptom reduction. Correlation among different patient groups and their symptom reduction was analyzed with statistical analyses to observe predictive factors for depression symptom reduction.\nAccording to statistical analyses, whether patients self-selected the treatment or were referred to the treatment by a healthcare professional, made a difference in the efficacy of the treatment (PHQ-9: 45.2% reduction vs. 28.8% reduction, CI >95%) and greater amount of active engagement and mindfulness meditation practice during the treatment intervention correlated with depressive symptom reduction (R^2=0.026, R^2=0.04, CI>95%) presenting a dose-response relationship.\nI conclude that based on the literature review and the case study analysis, user acceptance and user engagement seem to impact the efficacy of digital therapeutic interventions.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2019-12-02T10:05:32Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2019-12-02T10:05:32Z (GMT). No. of bitstreams: 0\n Previous issue date: 2019", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "63", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "user acceptance", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "user engagement", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "digital health", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "digital therapeutics", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "The impact of user acceptance in the efficacy of digital therapeutics", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201912025085", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.collaborator", "value": "business", "language": "", "element": "contractresearch", "qualifier": "collaborator", "schema": "yvv"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "yvv.contractresearch.initiative", "value": "student", "language": "", "element": "contractresearch", "qualifier": "initiative", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tietoinen l\u00e4sn\u00e4olo", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "mielenterveys", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "masennus", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "k\u00e4ytt\u00f6\u00f6notto", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tietotekniikka", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "terveydenhoito", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "mindfulness", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "mental health", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "depression (mental disorders)", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "introduction (deployment)", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "information technology", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "health care", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": 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