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Mobile Based mhGAP-IG Depression Screening in Kenya
We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibili...
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| Published in: | Community mental health journal 2018, Vol.54 (1), p.84-91 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c372t-8714ff30e3eefb76c35c4bad7d28d5d3a078318b63722bcbcc5b7df56ac17d2a3 |
| container_end_page | 91 |
| container_issue | 1 |
| container_start_page | 84 |
| container_title | Community mental health journal |
| container_volume | 54 |
| creator | Musyimi, Christine W. Mutiso, Victoria N. Haji, Zahra R. Nandoya, Erick S. Ndetei, David M. |
| description | We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibility of the application. Adult patients were recruited from four rural public health facilities in Kenya using systematic random sampling and screened for depression. There were no missing items since the application prevented saving of data unless all the items were answered. The prevalence of depression was 25% with suicidal behavior being the most significant comorbid problem. Older age, personal and a family history of a mental disorder were significantly correlated with depression. Exploring the use of health-related mobile applications in identification of priority mental health problems is useful notably in low-resource settings; and also forms a basis for prevention of mental disorders and intervention at acute stages. |
| doi_str_mv | 10.1007/s10597-016-0072-9 |
| format | article |
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Adult patients were recruited from four rural public health facilities in Kenya using systematic random sampling and screened for depression. There were no missing items since the application prevented saving of data unless all the items were answered. The prevalence of depression was 25% with suicidal behavior being the most significant comorbid problem. Older age, personal and a family history of a mental disorder were significantly correlated with depression. Exploring the use of health-related mobile applications in identification of priority mental health problems is useful notably in low-resource settings; and also forms a basis for prevention of mental disorders and intervention at acute stages.</description><identifier>ISSN: 0010-3853</identifier><identifier>EISSN: 1573-2789</identifier><identifier>DOI: 10.1007/s10597-016-0072-9</identifier><identifier>PMID: 27900652</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Age Factors ; Application ; Community and Environmental Psychology ; Comorbidity ; Depression - diagnosis ; Depression - epidemiology ; Depression - etiology ; Educational Status ; Family medical history ; Feasibility ; Female ; Health problems ; Health services ; Humans ; Intervention ; Kenya - epidemiology ; Male ; Marital Status ; Mass Screening - methods ; Medical screening ; Medicine ; Medicine & Public Health ; Mental depression ; Mental disorders ; Mental Disorders - complications ; Mental health ; Mental health services ; Mobile Applications ; Older people ; Original Paper ; Patients ; Prevalence ; Psychiatry ; Public health ; Public health clinics ; Random sampling ; Risk Factors ; Rural areas ; Rural communities ; Sex Factors ; Specialists ; Suicide ; Tests</subject><ispartof>Community mental health journal, 2018, Vol.54 (1), p.84-91</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Community Mental Health Journal is a copyright of Springer, (2016). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-8714ff30e3eefb76c35c4bad7d28d5d3a078318b63722bcbcc5b7df56ac17d2a3</citedby><cites>FETCH-LOGICAL-c372t-8714ff30e3eefb76c35c4bad7d28d5d3a078318b63722bcbcc5b7df56ac17d2a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1984679899/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1984679899?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11667,12825,21373,21374,27321,27901,27902,30976,33588,33589,33751,34507,34508,36037,36038,43709,44091,44339,73964,74382,74638</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27900652$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Musyimi, Christine W.</creatorcontrib><creatorcontrib>Mutiso, Victoria N.</creatorcontrib><creatorcontrib>Haji, Zahra R.</creatorcontrib><creatorcontrib>Nandoya, Erick S.</creatorcontrib><creatorcontrib>Ndetei, David M.</creatorcontrib><title>Mobile Based mhGAP-IG Depression Screening in Kenya</title><title>Community mental health journal</title><addtitle>Community Ment Health J</addtitle><addtitle>Community Ment Health J</addtitle><description>We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibility of the application. Adult patients were recruited from four rural public health facilities in Kenya using systematic random sampling and screened for depression. There were no missing items since the application prevented saving of data unless all the items were answered. The prevalence of depression was 25% with suicidal behavior being the most significant comorbid problem. Older age, personal and a family history of a mental disorder were significantly correlated with depression. Exploring the use of health-related mobile applications in identification of priority mental health problems is useful notably in low-resource settings; and also forms a basis for prevention of mental disorders and intervention at acute stages.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Application</subject><subject>Community and Environmental Psychology</subject><subject>Comorbidity</subject><subject>Depression - diagnosis</subject><subject>Depression - epidemiology</subject><subject>Depression - etiology</subject><subject>Educational Status</subject><subject>Family medical history</subject><subject>Feasibility</subject><subject>Female</subject><subject>Health problems</subject><subject>Health services</subject><subject>Humans</subject><subject>Intervention</subject><subject>Kenya - epidemiology</subject><subject>Male</subject><subject>Marital Status</subject><subject>Mass Screening - methods</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental Disorders - complications</subject><subject>Mental health</subject><subject>Mental health services</subject><subject>Mobile Applications</subject><subject>Older people</subject><subject>Original Paper</subject><subject>Patients</subject><subject>Prevalence</subject><subject>Psychiatry</subject><subject>Public health</subject><subject>Public health clinics</subject><subject>Random sampling</subject><subject>Risk Factors</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Sex Factors</subject><subject>Specialists</subject><subject>Suicide</subject><subject>Tests</subject><issn>0010-3853</issn><issn>1573-2789</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ALSLI</sourceid><sourceid>BHHNA</sourceid><sourceid>HEHIP</sourceid><sourceid>M0C</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><recordid>eNp1kE1LAzEQhoMotn78AC-y4MVLNB-bTXKsVWuxoqCeQzY7W7dsd2vSPfTfm7JVRPA0DPPMO8OD0BklV5QQeR0oEVpiQjMcW4b1HhpSITlmUul9NCSEEsyV4AN0FMKCECIolYdowKQmJBNsiPhTm1c1JDc2QJEsPyajFzydJLew8hBC1TbJq_MATdXMk6pJHqHZ2BN0UNo6wOmuHqP3-7u38QOePU-m49EMOy7ZGitJ07LkBDhAmcvMceHS3BayYKoQBbdEKk5VnkWa5S53TuSyKEVmHY2M5cfoss9d-fazg7A2yyo4qGvbQNsFQ1UqWKo1VRG9-IMu2s438TtDtUozqZXWkaI95XwbgofSrHy1tH5jKDFbo6Y3aqJRszVqtjvnu-QuX0Lxs_GtMAKsB0IcNXPwv07_m_oFnoZ-cA</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Musyimi, Christine W.</creator><creator>Mutiso, Victoria 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Based mhGAP-IG Depression Screening in Kenya</title><author>Musyimi, Christine W. ; Mutiso, Victoria N. ; Haji, Zahra R. ; Nandoya, Erick S. ; Ndetei, David M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-8714ff30e3eefb76c35c4bad7d28d5d3a078318b63722bcbcc5b7df56ac17d2a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Age Factors</topic><topic>Application</topic><topic>Community and Environmental Psychology</topic><topic>Comorbidity</topic><topic>Depression - diagnosis</topic><topic>Depression - epidemiology</topic><topic>Depression - etiology</topic><topic>Educational Status</topic><topic>Family medical history</topic><topic>Feasibility</topic><topic>Female</topic><topic>Health problems</topic><topic>Health services</topic><topic>Humans</topic><topic>Intervention</topic><topic>Kenya - epidemiology</topic><topic>Male</topic><topic>Marital Status</topic><topic>Mass Screening - methods</topic><topic>Medical screening</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Mental Disorders - complications</topic><topic>Mental health</topic><topic>Mental health services</topic><topic>Mobile Applications</topic><topic>Older people</topic><topic>Original Paper</topic><topic>Patients</topic><topic>Prevalence</topic><topic>Psychiatry</topic><topic>Public health</topic><topic>Public health clinics</topic><topic>Random sampling</topic><topic>Risk Factors</topic><topic>Rural areas</topic><topic>Rural communities</topic><topic>Sex Factors</topic><topic>Specialists</topic><topic>Suicide</topic><topic>Tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Musyimi, Christine W.</creatorcontrib><creatorcontrib>Mutiso, Victoria N.</creatorcontrib><creatorcontrib>Haji, Zahra 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Zahra R.</au><au>Nandoya, Erick S.</au><au>Ndetei, David M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mobile Based mhGAP-IG Depression Screening in Kenya</atitle><jtitle>Community mental health journal</jtitle><stitle>Community Ment Health J</stitle><addtitle>Community Ment Health J</addtitle><date>2018</date><risdate>2018</risdate><volume>54</volume><issue>1</issue><spage>84</spage><epage>91</epage><pages>84-91</pages><issn>0010-3853</issn><eissn>1573-2789</eissn><abstract>We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibility of the application. Adult patients were recruited from four rural public health facilities in Kenya using systematic random sampling and screened for depression. There were no missing items since the application prevented saving of data unless all the items were answered. The prevalence of depression was 25% with suicidal behavior being the most significant comorbid problem. Older age, personal and a family history of a mental disorder were significantly correlated with depression. Exploring the use of health-related mobile applications in identification of priority mental health problems is useful notably in low-resource settings; and also forms a basis for prevention of mental disorders and intervention at acute stages.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>27900652</pmid><doi>10.1007/s10597-016-0072-9</doi><tpages>8</tpages></addata></record> |
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| ispartof | Community mental health journal, 2018, Vol.54 (1), p.84-91 |
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| subjects | Adult Age Factors Application Community and Environmental Psychology Comorbidity Depression - diagnosis Depression - epidemiology Depression - etiology Educational Status Family medical history Feasibility Female Health problems Health services Humans Intervention Kenya - epidemiology Male Marital Status Mass Screening - methods Medical screening Medicine Medicine & Public Health Mental depression Mental disorders Mental Disorders - complications Mental health Mental health services Mobile Applications Older people Original Paper Patients Prevalence Psychiatry Public health Public health clinics Random sampling Risk Factors Rural areas Rural communities Sex Factors Specialists Suicide Tests |
| title | Mobile Based mhGAP-IG Depression Screening in Kenya |
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