The Implications of living with Heart Failure; the impact on everyday life, family support, co-morbidities and access to healthcare: A secondary qualitative analysis

Background: The aim of this study was to use secondary analysis to interrogate a qualitative data set to explore the experiences of patients living with heart failure. Methods: The data-set comprised interviews with 11 patients who had participated in an ethnographic study of heart failure focusing on unplanned hospital admissions. Following an initial review of the literature, a framework was developed with which to interrogate the data-set. This was modified in light of analysis of the first two interviews, to focus on the rich data around patients’ perceptions of living with heart failure, managing co-morbidities, accessing healthcare and the role of their family and friends, during their illness journey. Results: Respondents described how the symptoms of heart failure impacted on their daily lives and how disruption of routine activity due to their symptoms caused them to seek medical care. Respondents disclosed the difficulties of living with other illnesses, in addition to their heart failure, particularly managing multiple and complex medication regimes and negotiating multiple appointments; all expressed a desire to return to their pre-morbid, more independent lives. Many respondents described uncertainty around diagnosis and delays in communication from their healthcare providers. The importance of family support was emphasised, but respondents worried about burdening relatives with their illness. Conclusion: Living with heart failure causes disruption to the lives of sufferers. Facilitation of access to healthcare, through good communication between services and having a strong support network of both family and clinicians can reduce the impact of heart failure on the lives of the patient and those around them

Impact of a Prior Cancer Diagnosis on Quality of Care and Survival Following Acute Myocardial Infarction: Retrospective Population-Based Cohort Study in England

BACKGROUND: An increasing proportion of patients with cancer experience acute myocardial infarction (AMI). We investigated differences in quality of AMI care and survival between patients with and without previous cancer diagnoses. METHODS: A retrospective cohort study using Virtual Cardio-Oncology Research Initiative data. Patients aged 40+ years hospitalized in England with AMI between January 2010 and March 2018 were assessed, ascertaining previous cancers diagnosed within 15 years. Multivariable regression was used to assess effects of cancer diagnosis, time, stage, and site on international quality indicators and mortality. RESULTS: Of 512388 patients with AMI (mean age, 69.3 years; 33.5% women), 42187 (8.2%) had previous cancers. Patients with cancer had significantly lower use of ACE (angiotensin-converting enzyme) inhibitors/angiotensin receptor blockers (mean percentage point decrease [mppd], 2.6% [95% CI, 1.8–3.4]) and lower overall composite care (mppd, 1.2% [95% CI, 0.9–1.6]). Poorer quality indicator attainment was observed in patients with cancer diagnosed in the last year (mppd, 1.4% [95% CI, 1.8–1.0]), with later stage disease (mppd, 2.5% [95% CI, 3.3–1.4]), and with lung cancer (mppd, 2.2% [95% CI, 3.0–1.3]). Twelve-month all-cause survival was 90.5% in noncancer controls and 86.3% in adjusted counterfactual controls. Differences in post-AMI survival were driven by cancer-related deaths. Modeling improving quality indicator attainment to noncancer patient levels showed modest 12-month survival benefits (lung cancer, 0.6%; other cancers, 0.3%). CONCLUSIONS: Measures of quality of AMI care are poorer in patients with cancer, with lower use of secondary prevention medications. Findings are primarily driven by differences in age and comorbidities between cancer and noncancer populations and attenuated after adjustment. The largest impact was observed in recent cancer diagnoses (<1 year) and lung cancer. Further investigation will determine whether differences reflect appropriate management according to cancer prognosis or whether opportunities to improve AMI outcomes in patients with cancer exist

Morbidity severity classifying routine consultations from English and Dutch general practice indicated physical health status

Objective: To investigate the construct validity of morbidity severity scales based on routine consultation data by studying their associations with sociodemographic factors and physical health. Study Design and Setting: Study participants were 11,232 English adults aged 50 years and over and 9,664 Dutch adults aged 18 years and over, and their consulting morbidity data in a 12-month period were linked to their physical health data. Consulters with any of 115 morbidities classified on four ordinal scales of severity ("chronicity," "time course," "health care use," and "patient impact") were compared to all other consulters. Results: As hypothesized, in both countries, morbidity severity was associated with older age, female gender, more deprivation (all comparisons P ≤ 0.05), and poor physical health (all trends P < 0.001). The estimated strengths of association of poor physical health with the highest severity category expressed as odds ratios, for each of the four scales, were 5.4 for life-threatening on the "chronicity" scale, 1.8 for time course, 2.8 for high health care use, and 3.7 for high patient impact. Conclusions: Four scales of morbidity severity have been validated in English and Dutch settings, and they offer the potential to use simple routine consultation data as an indicator of physical health status in populations from general practice. © 2008 Elsevier Inc. All rights reserved

Morbidity severity classifying routine consultation from English and Dutch general practice indicated physical health status.

OBJECTIVE: To investigate the construct validity of morbidity severity scales based on routine consultation data by studying their associations with sociodemographic factors and physical health. STUDY DESIGN AND SETTING: Study participants were 11,232 English adults aged 50 years and over and 9,664 Dutch adults aged 18 years and over, and their consulting morbidity data in a 12-month period were linked to their physical health data. Consulters with any of 115 morbidities classified on four ordinal scales of severity ("chronicity," "time course," "health care use," and "patient impact") were compared to all other consulters. RESULTS: As hypothesized, in both countries, morbidity severity was associated with older age, female gender, more deprivation (all comparisons P< or =0.05), and poor physical health (all trends P<0.001). The estimated strengths of association of poor physical health with the highest severity category expressed as odds ratios, for each of the four scales, were 5.4 for life-threatening on the "chronicity" scale, 1.8 for time course, 2.8 for high health care use, and 3.7 for high patient impact. CONCLUSIONS: Four scales of morbidity severity have been validated in English and Dutch settings, and they offer the potential to use simple routine consultation data as an indicator of physical health status in populations from general practice.(aut. ref.

Does age modify the relationship between morbidity severity and physical health in English and Dutch family practice populations?

PURPOSE: To investigate the co-influences of age and morbidity severity on physical health in adult family practice populations. METHODS: Morbidity data in a 12-month period for 7,833 older English consulters aged 50 years and over and 6,846 Dutch consulters aged 18 years and over was linked to their physical health status obtained from cross-sectional health surveys. Individual patients were categorised using 78 consulting morbidities classified by a chronicity measure (acute, acute-on-chronic and chronic) into an ordinal scale of morbidity severity ranging from single to multiple chronicity groups. Associations between morbidity severity, age and SF-12 Physical Component Summary (PCS) score were assessed using linear regression methods. RESULTS: Increased age and higher morbidity severity were significantly associated with poorer physical health. Of the explained total variance in adjusted PCS scores, an estimated 43% was attributed to increasing age, 40% to morbidity severity and 17% to deprivation for English consulters; the figures were 21, 42 and 31%, respectively for Dutch consulters. The largest differences in PCS scores between severity categories were observed in the younger age groups. CONCLUSIONS: Morbidity severity and age mainly act separately in adversely influencing physical health. In ageing populations who will experience higher multimorbidity, this study underlines the importance that health care and public health will need to address morbidity severity and ageing as related but distinct issues. (aut. ref.