Development of an evidence-based scoring system (HF-IS) to assess the quality of heart failure programmes for patients postdischarge from hospital

Aim.  The aim of this study was to develop a potential scoring algorithm for interventions in a chronic heart failure management programme – the Heart Failure Intervention Score – to facilitate quality improvement and programme auditing.

Background.  The overall efficacy of chronic heart failure management programmes has been demonstrated in several meta-analyses. However, meta-analyses did not determine individual interventions in a programme that resulted in beneficial patient outcomes.

Design.  A prospective cross-sectional survey design.

Method.  All chronic heart failure management programmes in Australia (n = 62), identified by a national register, were surveyed to determine programme characteristics and interventions.

Results.  Of the 62 national chronic heart failure management programmes, 48 (77%) completed the survey and 27 individual interventions were identified. Variability in the use of the key interventions was common among the programmes. Each intervention was given an arbitrary weighted score according to the level of supportive evidence available and a total score calculated. Programmes were then categorised into low or high complexity based on several interventions implemented and their weighted score. A total score of ≥190 (median = 178, interquartile range 176–195) was used to divide programmes into two groups. Nine programmes were categorised into high Heart Failure Intervention Score group and majority of these were based in the acute hospital setting (78%). In the low Heart Failure Intervention Score group, there were 39 programmes of which there were a higher proportion of community-based programmes (38%) and programmes in small community hospitals (10%).

Conclusion.  The Heart Failure Intervention Score provides a potential evidence-based quality improvement tool through which a set of minimum standards can be developed. Implementation of the Heart Failure Intervention Score provides guidance to programme coordinators to enable monitoring of standards of heart failure programmes, which may potentially result in better patient outcomes.

Measuring self-care in chronic heart failure : a review of the psychometric properties of clinical instruments

Background : Improved self-care skills and behaviors are an important outcome of patient education and counseling. Both researchers and health professionals need to utilize instruments that are reliable and valid at measuring this outcome to advance our understanding as to the efficacy of clinical practice directed toward improving self-care.

Objective : The aim of this study was to identify instruments that measure chronic heart failure (CHF) self-care and demonstrate their psychometric properties.

Methods : A search of Medline, Cumulative Index to Nursing and Allied Health Literature, Medline, PsycArticles, Psychology and Behavioral Sciences Collection, and PsycINFO databases elucidated studies published between January 1980 and February 2009 that measure CHF self-care. The clinical instruments selected were disease-specific measures of CHF self-care behaviors that are promoted in best practice guidelines. Only instruments that reported estimates of reliability and validity were included in this review. Psychometric properties of the instruments were evaluated according to practice guidelines.

Results : The literature search identified 14 instruments published in peer-reviewed journals that measured constructs that predict or correlate to self-care rather than self-care itself. Only 2 disease-specific measures of self-care were identified (Self-care Heart Failure Index [SCHFI] and European Heart Failure Self-care Behavior Scale [EHFScBS]) that have undergone rigorous psychometric testing in CHF populations. Five aspects of validity had been demonstrated with EHFScBS, and 6 aspects of validity had been demonstrated with SCHFI. Two of 3 aspects of reliability have been demonstrated in both instruments.

Conclusion : Only 2 reliable and valid tools have been developed to specifically measure CHF self-care. Further use of these instruments in the research arena may reduce gaps in our understanding of CHF self-care and further shape clinical practice directed at improving it.

Inequitable provision of optimal services for patients with chronic heart failure : a national geo-mapping study

Objective : To compare the location and accessibility of current Australian chronic heart failure (CHF) management programs and general practice services with the probable distribution of the population with CHF. Design and setting : Data on the prevalence and distribution of the CHF population throughout Australia, and the locations of CHF management programs and general practice services from 1 January 2004 to 31 December 2005 were analysed using geographic information systems (GIS) technology. Outcome measures : Distance of populations with CHF to CHF management programs and general practice services. Results : The highest prevalence of CHF (20.3–79.8 per 1000 population) occurred in areas with high concentrations of people over 65 years of age and in areas with higher proportions of Indigenous people. Five thousand CHF patients (8%) discharged from hospital in 2004–2005 were managed in one of the 62 identified CHF management programs. There were no CHF management programs in the Northern Territory or Tasmania. Only four CHF management programs were located outside major cities, with a total case load of 80 patients (0.7%). The mean distance from any Australian population centre to the nearest CHF management program was 332 km (median, 163 km; range, 0.15–3246 km). In rural areas, where the burden of CHF management falls upon general practitioners, the mean distance to general practice services was 37 km (median, 20 km; range, 0–656 km). Conclusion : There is an inequity in the provision of CHF management programs to rural Australians.

Hospital readmission among older adults with congestive heart failure

Older adults with congestive heart failure [CHF] are likely to experience multiple readmissions to hospital. There have been several studies conducted on hospital readmissions; however, generalising the findings is problematic due to the use of variable definitions of what constitutes a readmission. This paper addresses the absence of Australian research comparing groups of older patients with CHF who are readmitted to hospital with those who are not readmitted. It also adopts one of the more frequently used definitions of readmission to aid in future comparability of research. Using a comparative cohort design, a multivariate logistic regression model was used to compare readmitted patients with non-readmitted patients and identify risk factors associated with readmission. Significant risk factors identified were male gender, numerous diagnoses, lengths of stay of 3 days or longer and admission from acute, subacute or aged care facilities. The increased likelihood of readmission among patients from acute, subacute and aged care services warrants further investigation.