Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire

Hsu, Tsai‐Ching; Chang, Hui‐Chin; Huang, Chi‐Hung; Chou, Ming-Chih; Yu, You-Tsz; Lin, Long-Yau

doi:10.1002/nop2.168

Cited by 10 publications

(11 citation statements)

References 38 publications

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“…Older age was signi cantly associated with poor HRQoL. This nding is consistent with the study done in Taiwan (22). A cross-sectional study from Saudi Arabia and a systematic review from Iran also reported a signi cant relationship between age and health-related quality of life (30,31).…”

Section: Discussionsupporting

confidence: 87%

“…But this nding is lower than a study done in Taiwan. This may be due to study participant differences as in Taiwan study participants were NYHA class-to NYHA class-and had the previous hospitalization for at least two times (22).…”

Section: Discussionmentioning

confidence: 98%

“…The SF-36 health survey is one of the most widely used measures of HRQoL consisting of 36 items and covering eight dimensions: physical functioning, role limitations due to physical health problems, bodily pain, general health perception, vitality, social functioning, role limitations due to emotional health problems, and emotional well-being/mental health. Scores on all the subscales are transformed linearly to a possible range of 0-100 where higher scores represent better HRQoL (21,22). The Cronbach's alpha value of the scales of the instrument was 0.88 which indicates that the instrument has acceptable internal consistency reliability.…”

Section: Data Collection Tools and Proceduresmentioning

confidence: 99%

“…Good HRQoL is de ned as when the patient scored a mean score of SF-36 ≥ 60 (22).…”

Section: Operational De Nitionsmentioning

confidence: 99%

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Health-Related Quality of Life and Associated Factors Among Adult Patients With Heart Failure in Tertiary Hospitals, Tigray Region, Northern Ethiopia, 2020.

Shibeshy¹,

Tilahun²,

Tsegabirhan³

et al. 2021

Preprint

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Background Heart failure is a major public health issue for many countries in Sub-Saharan African which causes enormous public health relevance resulting in significant disability, loss of economic productivity, and poor health-related quality of life. Although there is a dated improvement in heart failure management, the morbidity and mortality remain unacceptably high, and a lot of patients are affected by debilitating symptoms which adversely influence their quality of life. Therefore, the main aim of this study was to assess health-related quality of life and associated factors among adult patients with heart failure in tertiary hospitals, Tigray region, Ethiopia, 2020.Methods An institutional-based cross-sectional study was conducted from March 01-April 30, 2020. A simple random sampling method was used to enroll the 301 participants. Data were collected using a structured questionnaire-based interview. The health-related quality of life measuring tool was adapted from the medical outcomes study. Data was entered to and cleaned by Epi-Data manager version 4.4.2.1 and exported to a statistical package of social science version 22 for analysis. Binary logistic regression model (Adjusted Odds ratio, 95% Confidence Interval, and P-value < 0.05) was used to determine the factors that influence health-related quality of life.Results This study showed that 142(47.2%) patients had a poor health-related quality of life. The overall mean score of health-related quality of life was 61.7±20.5 among patients. Age above 60 years (AOR; 4.47, 95% CI; 1.87-10.68), no formal education (AOR; 3.45, 95% CI; 1.31-9.12), New-York Heart Association class-ɪᴠ (AOR; 6.50, 95% CI; 2.62-16.13) and the absence of social support (AOR; 2.52, 95% CI; 1.33-4.79) were significantly associated with poor health‐related quality of life.ConclusionsHealth-related quality of life among heart failure patients was poor for almost half of the participants. Patients with older age, no formal education, and higher New York Heart Association class need special attention in each follow-up evaluation. Furthermore, health professionals and governments should inform the benefit of social support to family members and friends who are involved in the care process among heart failure patients.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 98%

Section: Data Collection Tools and Proceduresmentioning

confidence: 99%

“…Good HRQoL is de ned as when the patient scored a mean score of SF-36 ≥ 60 (22).…”

Section: Operational De Nitionsmentioning

confidence: 99%

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Health-Related Quality of Life and Associated Factors Among Adult Patients With Heart Failure in Tertiary Hospitals, Tigray Region, Northern Ethiopia, 2020.

Shibeshy¹,

Tilahun²,

Tsegabirhan³

et al. 2021

Preprint

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“…(1) Not only does it affect the health and wellbeing of the subject but also adversely impacts families and communities, also increasing disability, burden of disease, hospital admissions, and expenditure, causing a considerable strain on a society with scarce resources. (2,3) There is an increasing trend in the incidence and prevalence of HF (1,4) with increasing life span (21). Poor health related quality of life due to HF is one of the factors for high rates of recurrent prolonged hospitalization and markedly increased burden on hospital services due to this condition.…”

Section: Introductionmentioning

confidence: 99%

Health Related Quality of Life in Systolic Heart Failure Patients at Tertiary Care Unit Cardiology OPD Hayatabad Medical Complex Peshawar Pakistan

Ullah¹,

Ayub²,

Shah³

et al. 2021

PJPH

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Background: Heart failure is a leading cardiac morbidity prevalent across the globe. Its incidence is rising in direct proportion to increasing longevity all over the world. Demographic variables are important predictors of quality of life, morbidity, rehospitalization, and mortality due to systolic heart failure. The objective of our study was to assess the association of demographic variables with quality of life of systolic heart failure in patients presenting at Cardiology Out Patient Department, Hayatabad Medical Complex, Peshawar. Our study aims to inform policy making as it highlights some important demographics factors associated with quality of life. Methods: A cross sectional method was employed in the study to examine systolic heart failure and its prevalence across various demographic variables such as age, gender, marital status, activity, number of children, education, employment status, and BMI at cardiology OPD of a medical teaching institution in Peshawar. Consecutive sampling was used and data were collected through a structured questionnaire from 368 Systolic Heart Failure patients. Data were analyzed using SPSS version 22. Results: We had 368 participants, a majority of whom (n=290; 78.8%), were in NYHA class III. The rest (n=78; 21.2%) were in class IV. Minnesota Living with Heart Failure Questionnaire (MLHFQ) was used to categorize quality of life into ‘Good’, ‘Moderate’ and ‘Poor’. Most participants were in the ‘poor’ category with MLHFQ scores >45 (n=193; 52.4%). Those who had scores between 25 -45 were categorized as ‘moderate’ (n=116; 31.5%), and participants who scored < 24 were categorized as having a ‘good’ quality of life (n=59; 16%). Reliability of tools was checked by Cronbach alpha which was 0.86 Conclusion: It was concluded that demographic variables have a significant effect on the overall morbidity of heart failure patients and heart failure related quality of life.

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The mediating effect of self‐efficacy on the relationship between family functioning and quality of life among elders with chronic diseases

Yuan

Zhang

et al. 2021

Nursing Open

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With the ageing of the global population, the number of communitydwelling elderly individuals with chronic diseases is increasing (Sun et al., 2019;Zhou et al., 2016). It was reported that the four most common non-communicable chronic diseases (NCDs) among elderly individuals were cancer, diabetes, cardiovascular disorders and lung disease. The four major NCDs and a handful of other chronic conditions were responsible for two-thirds of mortality globally in 2016 (Nugent, 2019). In China, the Study of Global AGEing and Adult Health (SAGE)-China Wave 1 cross-sectional study reported that half of the elderly individuals in China had at least one chronic illness (Zhao et al., 2018). In 2015, the China Family Development Report (2015) released by the National Health and Family Planning Commission showed that half of all elderly people were living without children (Croll et al., 2019), and the proportion was higher in rural areas than in urban areas; additionally, their family functioning was poor. Because of the characteristics of chronic diseases in the elderly population, such as long disease duration, difficult self-healing, complex aetiology, many complications, and high cost of treatment, coupled with retirement syndrome and other family and social factors, physical and psychological diseases are common in the elderly

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Identifying cut‐off scores for interpretation of the Heart Failure Impact Questionnaire

Cited by 10 publications

References 38 publications

Health-Related Quality of Life and Associated Factors Among Adult Patients With Heart Failure in Tertiary Hospitals, Tigray Region, Northern Ethiopia, 2020.

Health-Related Quality of Life and Associated Factors Among Adult Patients With Heart Failure in Tertiary Hospitals, Tigray Region, Northern Ethiopia, 2020.

Health Related Quality of Life in Systolic Heart Failure Patients at Tertiary Care Unit Cardiology OPD Hayatabad Medical Complex Peshawar Pakistan

The mediating effect of self‐efficacy on the relationship between family functioning and quality of life among elders with chronic diseases

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