Issues in Child and Adolescent Inpatient Assessment and Evaluation After Discharge: Protocol for App Development and a Randomized Controlled Trial
New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including...
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Published in | JMIR research protocols Vol. 7; no. 11; p. e10121 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Canada
JMIR Publications
01.11.2018
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Online Access | Get full text |
ISSN | 1929-0748 1438-8871 1929-0748 |
DOI | 10.2196/10121 |
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Abstract | New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript.
The aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app.
Two studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Åsberg Depression Scale scores during a 1-year follow-up.
We have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal.
A technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit's needs was developed, and 2 studies are planned to evaluate its usefulness.
RR1-10.2196/10121. |
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AbstractList | Background: New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript. Objective: The aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app. Methods: Two studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Åsberg Depression Scale scores during a 1-year follow-up. Results: We have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal. Conclusions: A technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit’s needs was developed, and 2 studies are planned to evaluate its usefulness. New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript.BACKGROUNDNew methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript.The aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app.OBJECTIVEThe aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app.Two studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Åsberg Depression Scale scores during a 1-year follow-up.METHODSTwo studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Åsberg Depression Scale scores during a 1-year follow-up.We have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal.RESULTSWe have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal.A technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit's needs was developed, and 2 studies are planned to evaluate its usefulness.CONCLUSIONSA technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit's needs was developed, and 2 studies are planned to evaluate its usefulness.RR1-10.2196/10121.INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)RR1-10.2196/10121. Background: New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript. Objective: The aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app. Methods: Two studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Åsberg Depression Scale scores during a 1-year follow-up. Results: We have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal. Conclusions: A technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit’s needs was developed, and 2 studies are planned to evaluate its usefulness. International Registered Report Identifier (IRRID): RR1-10.2196/10121 New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript. The aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app. Two studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Åsberg Depression Scale scores during a 1-year follow-up. We have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal. A technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit's needs was developed, and 2 studies are planned to evaluate its usefulness. RR1-10.2196/10121. BACKGROUND: New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as smartphone apps, have shown promising results, (eg, helping unwell people by offering support and resources). Screening for the condition, including comorbidities, is a vital part of psychiatric care. Comorbid conditions, especially in emergency evaluation, are often missed, leading to inaccurate diagnosis and treatment. One way of improving diagnostic accuracy is to use a structured diagnostic process. Digitalized screening and follow-up have the advantage of making administration and scoring easier and less time consuming, thereby increasing response rate. To address these problems, we decided to create a smartphone app called The Blue App. The Blue App was developed through 6 steps, described in the manuscript. OBJECTIVE: The aim of this paper is to describe (1) the development of The Blue App and (2) 2 planned research studies to evaluate the app. METHODS: Two studies will be performed. Study 1 has a descriptive design, mapping comorbidities before and after the introduction of The Blue App. Study 2 has a randomized controlled design, measuring compliance with outpatient treatments as well as depressive symptoms, rated as changes in Montgomery-Asberg Depression Scale scores during a 1-year follow-up. RESULTS: We have described app development. Data collection for Study 1 started in autumn 2017. Study 2 will start in autumn 2018. We expect to have enrolled the 150 patients in Study 2 by December 2019. Final results will be published in a scientific journal. CONCLUSIONS: A technically advanced and easy-to-use Web-based mobile phone app corresponding to the unit's needs was developed, and 2 studies are planned to evaluate its usefulness. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/10121. |
Author | Hansson, Kristian Eberhard, Sophia Johansson, Björn Axel Andersson, Claes Rastam, Maria |
AuthorAffiliation | 2 Division of Child and Adolescent Psychiatry Department of Clinical Sciences Lund Lund University Lund Sweden 3 Department of Criminology Faculty of Health and Society Malmö University Malmö Sweden 1 Department of Child and Adolescent Psychiatry Regional Inpatient Care, Emergency Unit Skåne University Hospital Malmö Sweden |
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Author_xml | – sequence: 1 givenname: Kristian orcidid: 0000-0002-3007-0910 surname: Hansson fullname: Hansson, Kristian – sequence: 2 givenname: Björn Axel orcidid: 0000-0001-5547-7605 surname: Johansson fullname: Johansson, Björn Axel – sequence: 3 givenname: Claes orcidid: 0000-0001-9819-2474 surname: Andersson fullname: Andersson, Claes – sequence: 4 givenname: Maria orcidid: 0000-0003-0819-3946 surname: Rastam fullname: Rastam, Maria – sequence: 5 givenname: Sophia orcidid: 0000-0002-3724-4637 surname: Eberhard fullname: Eberhard, Sophia |
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Cites_doi | 10.1016/S0165-1781(01)00318-3 10.1111/j.1600-0447.1994.tb01480.x 10.1201/9780429258589 10.1186/2193-1801-3-77 10.1007/s11920-015-0604-y 10.1002/erv.582 10.1016/S0140-6736(11)60871-4 10.1186/1471-244X-14-107 10.1186/1752-4458-5-1 10.1001/archpsyc.64.1.89 10.1016/j.jsat.2015.06.017 10.4088/JCP.09m05305whi 10.1002/9781444300895.ch69 10.1023/A:1023040610384 10.3389/fpsyt.2016.00157 10.1007/s10566-009-9073-y 10.1186/2193-1801-2-146 10.1002/mpr.289 10.1159/000081413 10.1111/j.1440-1754.2006.00959.x 10.1016/j.chc.2016.02.007 10.1111/j.1467-9450.2007.00567.x 10.2196/mental.4004 10.1111/j.1530-0277.2011.01571.x 10.2196/mhealth.9726 10.1097/01.chi.0000129221.12305.13 10.2196/mhealth.2709 10.1080/08039480310000932 10.1001/archinte.158.16.1789 10.1177/1073191107313888 |
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Copyright | Kristian Hansson, Björn Axel Johansson, Claes Andersson, Maria Rastam, Sophia Eberhard. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 12.11.2018. 2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Kristian Hansson, Björn Axel Johansson, Claes Andersson, Maria Rastam, Sophia Eberhard. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 12.11.2018. 2018 |
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CorporateAuthor | Department of Clinical Sciences, Lund Child and Adolescent Psychiatric Conditions and Associated Risk Factors: CARE Barn- och ungdomspsykiatri Faculty of Medicine Child and Adolescent Psychiatry Institutionen för kliniska vetenskaper, Lund Lunds universitet Section IV Medicinska fakulteten Sektion IV Lund University Barn- och ungdomspsykiatriska tillstånd och associerade riskfaktorer |
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Snippet | New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies, such as... Background: New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies,... BACKGROUND: New methods are needed for collecting data of in- and outpatients and for improving outpatient compliance after discharge. Mobile technologies,... |
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SubjectTerms | Alcohol use app Autism Child & adolescent psychiatry Children & youth Clinical Medicine Comorbidity Data collection Drug use Emergency medical care Engineering and Technology Feasibility studies Funding Klinisk medicin Medical and Health Sciences Medical Engineering Medical Instrumentation (including Measurement Technologies) Medicin och hälsovetenskap Medicinsk instrumentering (Här ingår: Mätteknik) Medicinteknik Mental disorders Mental health mobile phone Protocol Psychiatry Psykiatri Questionnaires research protocol Response rates screening Smartphones Teenagers Teknik |
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Title | Issues in Child and Adolescent Inpatient Assessment and Evaluation After Discharge: Protocol for App Development and a Randomized Controlled Trial |
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