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dc.contributor.authorTejada, Paola A.*
dc.contributor.authorJaramillo, Luís Eduardo*
dc.contributor.authorPolo, Gilberto*
dc.contributor.authorSharma, Vimal*
dc.date.accessioned2018-07-30T13:08:09Z
dc.date.available2018-07-30T13:08:09Z
dc.date.issued2016-12-14
dc.identifier.citationTejada, P., Polo, G. J., Jaramillo, L. E. & Sharma, V. K. (2017). Psychiatric morbidity in medically ill patients by means of the Spanish version of the Global Mental Health Assessment Tool - Primary Care (GMHAT/PC). International Journal of Culture and Mental Health, 10(1), 82-89.
dc.identifier.issn1754-2863
dc.identifier.doi10.1080/17542863.2016.1264001
dc.identifier.urihttp://hdl.handle.net/10034/621238
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Culture and Mental Health on 14-12-16, available online: https://doi.org/10.1080/17542863.2016.1264001
dc.description.abstractThe study aimed to assess psychiatric morbidity in medically ill patients and to examine the use of GMHAT/PC Spanish version in a general health setting. We recruited patients who were hospitalized at the services of Internal Medicine, Surgery and G/O during a period of 1 month for each service. The diagnosis of a medical illness was supported by specialists in each service. A trained GP conducted a psychiatric assessment of all the participants using GMHAT/PC. The interview was carried out at patients’ bedside. Of 455 medically ill patients, 4.8% had a mental illness identified by GMHAT/PC interview. Anxiety, depression and organic disorders were the most frequently identified mental disorders in internal medicine and surgery. Cancer had a significantly higher prevalence of comorbid mental illness. In this study the proportion of medically ill with mental disorders was less compared to other studies. The GMHAT/PC is more close to identifying clinical cases of mental illness and also patients who need help. The GMHAT is more a diagnostic instrument than a screening instrument. Physicians and practitioners can be trained to identify mental illness using computer-assisted tools such as GMHAT/PC. A holistic approach of providing care to such patients may improve their overall outcome and quality of life.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.urlhttps://www.tandfonline.com/doi/full/10.1080/17542863.2016.1264001en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectGMHATen_US
dc.titlePsychiatric morbidity in medically ill patients using Spanish version of GMHAT/PCen_US
dc.typeArticleen_US
dc.identifier.eissn1754-2871
dc.contributor.departmentUniversity of Chester
dc.identifier.journalInternational Journal of Culture and Mental Health
dc.date.accepted2016-11-06
or.grant.openaccessYesen_US
rioxxterms.funderN/Aen_US
rioxxterms.identifier.projectNAen_US
rioxxterms.versionAMen_US
rioxxterms.licenseref.startdate2017-12-14
rioxxterms.typeJournal Article
dcterms.dateAccepted2016-11-06


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