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Riskfaktorer för depression och sjuksköterskors möjligheter att identifiera depression hos äldre: En litteraturöversikt
Ersta Sköndal Bräcke University College, Department of Health Care Sciences.
Ersta Sköndal Bräcke University College, Department of Health Care Sciences.
2017 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Riskfactors for depression and nurses’ ability to identify depression among elderly : A literature review (English)
Abstract [sv]

Bakgrund: Depression blir allt vanligare men ändå diagnostiseras endast cirka hälften av dem som drabbas. Svårigheterna med att bli diagnostiserad ökar med åldern då äldre ofta upplever mer somatiska symtom vid depression och sjukvården har en stor kunskapslucka kring identifieringen och vilka riskfaktorer som inverkar.

Syfte: Syftet var att belysa riskfaktorer som kan inverka på utvecklingen av en depression hos äldre och de möjligheter sjuksköterskor har att identifiera depression hos äldre personer.

Metod: En litteraturöversikt gjordes på valt ämne. Studier söktes genom databaserna: MEDLINE, CINAHL Complete, ASSIA och Psychology and Behavioral Sciences Collection. De sökord som användes var: depression, older adults, older, nurse/nurses, identify, recognize, risk factors och elderly. Fribergs analysmetod användes vid analys av artiklarna.

Resultat: Resultatet i litteraturöversikten redovisas utifrån de två kategorier som framkom genom analysen av artiklarna. Första kategorin beskriver de riskfaktorer som kan inverka på depression hos äldre och den andra beskriver sjuksköterskans möjligheter till att identifiera depression. De riskfaktorer som kan inverka på en depression är livskvalitetens inverkan och somatisk inverkan. Sjuksköterskans möjligheter till att identifiera depression sammanställdes till kunskap och utbildning samt tid för samtal.

Diskussion: Styrkor och svagheter diskuteras i metoddiskussionen och resultatet diskuteras i relation till syfte, bakgrund och Barkers tidsvattenmodell i resultatdiskussionen.

Abstract [en]

Background: Depression is becoming more common but only half of the cases are getting diagnosed. The difficulties of getting a diagnose increases with age and the elderly have more somatic symptoms of depression. There is a huge knowledge gap within healthcare sector relating to the identification of depression and the risk factors that influence it.

Aim: The aim is to highlight the risk factors that may influence the development of depression among the elderly and the opportunities nurses have to identify depression among the older people.

Method: A litterature review was made on the chosen topic. Studies were searched through the databases: MEDLINE, CINAHL Complete, ASSIA and Psychology and Behavioral Sciences Collection. The keywords that were used was: depression, older adults, older, nurse/nurses, identify, recognize, risk factors and elderly. Friberg’s analytical method was used to analys the articles.

Results: Two categories were presented in the result. The first category descibes the risk factors that may effect depression among the elderly and the second category describes the nurses possibilities to identify depression. The risk factors that may effect a depression are: quality of life and somatic impact. The nurses ability to identify depression among elderly were compiled into knowledge, education and time for dialog.

Discussion: Strength and weaknesses are discussed in the method discussion while the results are discussed in relation to the purpose, background and Barkers tidalmodel in the result discussion.

Place, publisher, year, edition, pages
2017. , p. 31
Keywords [en]
Depression, Risk factors, Possibilities, Identify
Keywords [sv]
Depression, Riskfaktorer, Möjligheter och identifiering
National Category
Nursing
Identifiers
URN: urn:nbn:se:esh:diva-5947OAI: oai:DiVA.org:esh-5947DiVA, id: diva2:1099009
Educational program
Bachelor of Science in Nursing
Uppsok
Medicine
Supervisors
Examiners
Available from: 2017-05-29 Created: 2017-05-29 Last updated: 2017-05-29Bibliographically approved

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