Kyoungrim Kang1, Leila Gholizadeh2, Sally C Inglis2, Hae-Ra Han3. 1. University of Technology Sydney, Sydney, NSW, Australia. Electronic address: Kyoungrim.Kang@student.uts.edu.au. 2. University of Technology Sydney, Sydney, NSW, Australia. 3. The Johns Hopkins University, Baltimore, MD, USA.
Abstract
BACKGROUND: By the increasing emphasis on health-related quality of life (HRQoL) in patients with myocardial infarction (MI), it is necessary to explore factors that affect HRQoL in this population. OBJECTIVES: This study aimed to identify correlates of HRQoL in patients with MI. DESIGN: A literature review of the factors that affect HRQoL in patients with MI (1995-2016). DATA SOURCES: Three main databases-CINAHL, MEDLINE and PsychINFO-were searched to retrieve relevant peer-reviewed articles published in English. REVIEW METHODS: In consultation with a medical librarian, we identified relevant MeSH terms and used them for searching the literature: health-related quality of life/quality of life/HRQoL/QoL, myocardial infarction/heart attack/MI and predict*/factor. Data elements were extracted and narratively described variables synthesised into four categories. RESULTS: A total of 48 studies met the inclusion criteria and were included in the review. Correlates of HRQoL in patients with MI were identified in the following categories: demographic, behavioural, disease-related, and psychosocial factors. Specific correlates included age and gender-identity for demographic factors; physical activity and smoking for behavioural factors; severity of MI, symptoms, and comorbidities for disease-related factors; anxiety and depression for psychosocial factors. CONCLUSIONS: Identifying correlates of HRQoL can help identify patients who are at risk for poor HRQoL in the recovery or rehabilitation stage of post-MI. Future intervention should focus on adjustable correlates such as behavioural and psychosocial factors to promote HRQoL among patients after experiencing MI.
BACKGROUND: By the increasing emphasis on health-related quality of life (HRQoL) in patients with myocardial infarction (MI), it is necessary to explore factors that affect HRQoL in this population. OBJECTIVES: This study aimed to identify correlates of HRQoL in patients with MI. DESIGN: A literature review of the factors that affect HRQoL in patients with MI (1995-2016). DATA SOURCES: Three main databases-CINAHL, MEDLINE and PsychINFO-were searched to retrieve relevant peer-reviewed articles published in English. REVIEW METHODS: In consultation with a medical librarian, we identified relevant MeSH terms and used them for searching the literature: health-related quality of life/quality of life/HRQoL/QoL, myocardial infarction/heart attack/MI and predict*/factor. Data elements were extracted and narratively described variables synthesised into four categories. RESULTS: A total of 48 studies met the inclusion criteria and were included in the review. Correlates of HRQoL in patients with MI were identified in the following categories: demographic, behavioural, disease-related, and psychosocial factors. Specific correlates included age and gender-identity for demographic factors; physical activity and smoking for behavioural factors; severity of MI, symptoms, and comorbidities for disease-related factors; anxiety and depression for psychosocial factors. CONCLUSIONS: Identifying correlates of HRQoL can help identify patients who are at risk for poor HRQoL in the recovery or rehabilitation stage of post-MI. Future intervention should focus on adjustable correlates such as behavioural and psychosocial factors to promote HRQoL among patients after experiencing MI.
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