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Identification of symptom clusters among patients with heart failure: An international observational study

Moser, Debra K. (författare)
University of Kentucky, KY 40506 USA
Suk Lee, Kyoung (författare)
University of Wisconsin, WI 53706 USA
Wu, Jia-Rong (författare)
University of N Carolina, NC 27515 USA
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Mudd-Martin, Gia (författare)
University of Kentucky, KY 40506 USA
Jaarsma, Tiny (författare)
Linköpings universitet,Hälsa, Aktivitet, Vård (HAV),Hälsouniversitetet
Huang, Tsuey-Yuan (författare)
Chang Gung University of Science and Technology, Taiwan
Fan, Xui-Zhen (författare)
Shandong University, Peoples R China
Strömberg, Anna (författare)
Östergötlands Läns Landsting,Linköpings universitet,Avdelningen för omvårdnad,Hälsouniversitetet,Kardiologiska kliniken US
Lennie, Terry A. (författare)
University of Kentucky, KY 40506 USA
Riegel, Barbara (författare)
University of Penn, PA 19104 USA
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 (creator_code:org_t)
Elsevier, 2014
2014
Engelska.
Ingår i: International Journal of Nursing Studies. - : Elsevier. - 0020-7489 .- 1873-491X. ; 51:10, s. 1366-1372
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Background: Virtually all patients with heart failure experience multiple symptoms simultaneously, yet clinicians and researchers usually consider symptoms in isolation. Recognizing and responding early to escalating symptoms is essential to preventing hospitalizations in heart failure, yet patients have considerable difficulty recognizing symptoms. Identification of symptom clusters could improve symptom recognition, but cultural differences may be present that must be considered. Objectives: To identify and compare symptom clusters in heart failure patients from the United States, Europe and Asia. Design: Cross-sectional, observational study. Settings: In- and out-patient settings in three regions of the world: Asia (i.e., China and Taiwan); Europe (i.e., the Netherlands and Sweden); and the United States. Participants: A total of 720 patients with confirmed heart failure. Propensity scoring using New York Heart Association Classification was used to match participants from each of the three regions. Methods: Symptoms were identified using the Minnesota Living with Heart Failure Questionnaire. To identify symptom clusters we used cluster analysis with the hierarchical cluster agglomerative approach. We used the Euclidean distance to measure the similarity of variables. Proximity between groups of variables was measured using Wards method. The resulting clusters were displayed with dendrograms, which show the proximity of variables to each other on the basis of semi-partial R-squared scores. Results: There was a core group of symptoms that formed two comparable clusters across the countries. Dyspnea, difficulty in walking or climbing, fatigue/increased need to rest, and fatigue/low energy were grouped into a cluster, which was labeled as a physical capacity symptom cluster. Worrying, feeling depressed, and cognitive problems were grouped into a cluster, which was labeled as an emotional/cognitive symptom cluster. The symptoms of edema and trouble sleeping were variable among the countries and fell into different clusters. Conclusion: Despite the diversity in cultures studied, we found that symptoms clustered similarly among the cultural groups. Identification of similar symptoms clusters among patients with heart failure may improve symptom recognition in both patients and healthcare providers.

Ämnesord

SAMHÄLLSVETENSKAP  -- Sociologi (hsv//swe)
SOCIAL SCIENCES  -- Sociology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine (hsv//eng)

Nyckelord

Heart failure; Symptom clusters; Cognitive symptoms; Emotional symptoms; Physical symptoms

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