The Role of Health Inequalities and Assessing Impacts on Population Health: Exploring Health in All (HiAP) Policies

The Role of Health Inequalities and Assessing Impacts on Population Health: Exploring Health in All (HiAP) Policies

Shahid Muhammad (The Renal Patient Support Group (RPSG), Bristol, UK)
Copyright: © 2015 |Pages: 7
DOI: 10.4018/IJUDH.2015010106


In ‘today's' world, technology advances are pacing and surrounding all areas of health and social care. Whilst the ‘age of technology' has its certainties, health professionals are still identifying missed opportunities in diagnosis for specific diseases and this has its own burden and impact on over budgeting and healthcare. There now seems to be charade in allocating the appropriate funds in those sectors that require more man-power than technology. In turn health has now become more about through-put then compassion (Barnett et al. 2012; Department of Health 2012; Luxford and Sutton 2014; Muhammad et al. 2015). Here, the author briefly explores the role of average health status – Health Inequalities (or Panayotov Matrix) for Assessing Impacts on Population Health and Health in All Policies (HiAP) in the ‘age of technology' and missed opportunity in diagnoses, providing a Chronic Kidney Disease (CKD) example.
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The ‘Technological Age’

It has been reported that patients with Long-Term Conditions (LTCs) account for around 50% of GP appointments, 64% of outpatient appointments and 70% of hospital bed days (Department of Health 2012). Around 70% of total health and care expenditure in England is attributed to people with LTCs (Department of Health 2012). People diagnosed with a number of LTCs are the most intensive users of health and social care services because their needs are usually more complex than those of people with single diseases. Most people aged 65 and over have multi-morbidity although a recent Scottish study found the absolute number of people with multi-morbidity was higher in those aged under 65, indicating its implications for the population as a whole (Barnett et al 2012).

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