Linked Life Data

18427997

Source:http://linkedlifedata.com/resource/pubmed/id/18427997

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-7-10
pubmed:abstractText
The high prevalence of psychiatric morbidity in primary care, the growing perception of the need for specialized help by the least severe patients and the lack of accuracy in referrals, contribute to the increasing overload in mental health services. So it seems necessary to design diagnostic tools in order to improve the detection of more severe patients and to help in the referral decision. With this purpose in mind, we have designed the multidimensional heteroadministrated Scale Referral Criteria for Mental Health (CRMH). This paper presents the preliminary results of a pilot study on its application in a sample of 198 patients by a group of Primary Care Physicians (PCP). The data show the detection of a high percentage of potential psychiatric patients (46.9%) and 4% of patients who having the possibility of being referred. The results also illustrate the low ability of PCP to detect these disorders. CRMH has a moderate correlation with the General Health Questionnaire (GHQ) and with detection of psychopathology by PCP. Other factors, apart from clinical severity evaluated through CRMH, possibly belonging to doctor-patient relationship, which should be analyzed, seem to influence the mental health referral. In a future article, we will present the validation of this scale in our care setting.
pubmed:language
spa
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1139-9287
pubmed:author
pubmed:issnType
Print
pubmed:volume
36
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
210-7
pubmed:meshHeading
pubmed:articleTitle
[Preliminary study aimed at the construction of a questionnaire for referral from primary care to mental health services].
pubmed:affiliation
Servicio de Salud Mental de Villaverde, Madrid, Spain. miguelmore@yahoo.com
pubmed:publicationType
Journal Article, English Abstract, Validation Studies