Temporal and geographic heterogeneity of the association between socioeconomic position and hospitalisation in Italy: an income based indicator

Integrating patient complexity into health policy: a conceptual framework

Objective Clinicians across all health professions increasingly strive to add value to the care they deliver through the application of the central tenets of people-centred care (PCC), namely the 'right care', in the 'right place', at the 'right time' and 'tailored to the needs of communities'. This ideal is being hampered by a lack of a structured, evidence-based means to formulate policy and value the commissioning of services in an environment of increasing appreciation for the complex health needs of communities. This creates significant challenges for policy makers, commissioners and providers of health services. Communities face a complex intersection of challenges when engaging with healthcare. Increasingly, complexity is gaining prominence as a significant factor in the delivery of PCC. Based on the World Health Organization (WHO) components of health policy, this paper proposes a policy framework that enables policy makers, commissioners and providers of health care to integrate a model of complexity into policy, subsequent service planning and development of models of care. Methods The WHO components of health policy were used as the basis for the framework. Literature was drawn on to develop a policy framework that integrates complexity into health policy. Results Within the framework, complexity is juxtaposed between the WHO components of 'vision', 'priorities' and 'roles'. Conclusion This framework, supported by the literature, provides a means for policy makers and health planners to conduct analyses of and for policy. Further work is required to better model complexity in a manner that integrates consumer needs and provider capabilities. What is known about the topic? There is a growing body of evidence regarding patient complexity and its impact on the delivery of health services, but there is little consideration of patient complexity in policy, which is an important consideration for service provision. What does this paper add? This paper presents an argument for the inclusion of patient complexity in health policy and provides a framework for how that might occur. What are the implications for practitioners? The inclusion of patient complexity in policy could provide a means for policy makers to consider the factors that contribute to patient complexity in service provision decisions.

Socioeconomic and citizenship inequalities in hospitalisation of the adult population in Italy

BACKGROUND

Higher levels of hospital admissions among people with lower socioeconomic level, including immigrants, have been observed in developed countries. In Europe, immigrants present a more frequent use of emergency services compared to the native population. The aim of our study was to evaluate the socioeconomic and citizenship differences in the hospitalisation of the adult population in Italy.

METHODS

The study was conducted using the database created by the record linkage between the National Health Interview Survey (2005) with the National Hospital Discharge Database (2005-2014). 79,341 individuals aged 18-64 years were included. The outcomes were acute hospital admissions, urgent admissions and length of stay (1-7 days, > = 8 days). Education level, occupational status, self-perceived economic resources and migratory status were considered as socioeconomic determinants. A multivariate proportional hazards model for recurrent events was used to estimate the risk of total hospital admissions. Logistic models were used to estimate the risk of urgent hospitalisation as well as of length of stay.

RESULTS

Low education level, the lack of employment and negative self-perceived economic resources were conditions associated with the risk of hospitalisation, a longer hospital stay and greater recourse to urgent hospitalisation. Foreigners had a lower risk of hospitalisation (HR = 0.75; 95% CI:0.68-0.83) but a higher risk of urgent hospitalisation (OR = 1.36; 95% CI:1.18-1.55) and more frequent hospitalisations with a length of stay of at least eight days (OR = 1.19; 95% CI:1.02-1.40).

CONCLUSIONS

To improve equity in access, effective primary, secondary and tertiary prevention strategies must be strengthened, as should access to appropriate levels of care.

How can socioeconomic inequalities in hospital admissions be explained? A cohort study

OBJECTIVES

To investigate which antecedent risk factors can explain the social patterning in hospital use.

DESIGN

Prospective cohort study with up to 37 years of follow-up.

SETTING

Representative community sample in the West of Scotland.

PARTICIPANTS

7049 men and 8353 women aged 45-64 years were recruited into the study from the general population between 1972 and 1976 (78% of the eligible population).

PRIMARY AND SECONDARY OUTCOME MEASURES

Hospital admissions and bed days by cause and by classification into emergency or non-emergency.

RESULTS

All-cause hospital admission rate ratios (RRs) were not obviously socially patterned for women (RR 1.04, 95% CI 0.98 to 1.10) or men (RR 1.0, 95% CI 0.94 to 1.06) in social classes IV and V compared with social classes I and II. However, cardiovascular disease, coronary heart disease and stroke in women, and respiratory disease for men and women were socially patterned, although this attenuated markedly with the addition of baseline risk factors. Hospital bed days were generally socially patterned and the differences were largely explained by baseline risk factors. The overall RRs of mental health admissions in contrast were socially patterned for women (RR 1.77, 95% CI 1.38 to 2.27) and men (RR 1.51, 95% CI 1.11 to 2.06) in social classes IV and V compared with social classes I and II, but the pattern did not attenuate with the addition of baseline risk factors. Emergency hospital admissions were associated with lower social class, but there was an inverse relationship for non-emergency hospital admissions.

CONCLUSIONS

Overall admissions to hospital were only marginally socially patterned, and less than would be expected on the basis of the gradient in baseline risk. However, there was marked social patterning in admissions for mental health problems. Non-emergency hospital admissions were patterned inversely according to risk. Further work is required to explain and address this inequitable gradient in healthcare use.

Socio-economic differences in healthcare access from a welfare system perspective, Italy: 2007-2010

Inequalities between poorer and wealthier people in accessing healthcare services have been widely studied, but the mechanisms generating them are still to be fully understood. Among these, there is still a lack of evidence of relationships between health prevention/health promotion policies, welfare systems and social differences. We analysed 68 201 females from the PASSI Italian surveillance system for the years 2007-2010. The prevalence of women undergoing Pap testing was used as an example of access to preventive services. An odds ratio gradient was found with regard to different welfare system clusters: the probability of undergoing a screening test is higher for more advanced welfare systems. A strong association was found between having received a letter from the local health unit and having undergone the screening test. Significant differences still exist between high- and low-income women and their access to Italian preventive public services. As we expected, social determinants play an important role in health disparities, as these are also strongly influenced by typologies of welfare systems and by health policies.