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SDHI Seminar

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Professor of the Geography of Health and Dean of the Faculty of Arts ... is evidence that area characteristics playa part in influencing place of death. ... – PowerPoint PPT presentation

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Title: SDHI Seminar


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Inequalities in access to inpatient palliative
care
  • Tony Gatrell
  • Professor of the Geography of Health and Dean of
    the Faculty of Arts Social Sciences
  • Lancaster University

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Outline of presentation
  • Brief introduction to end-of-life issues and
    palliative care
  • Inequities in place of death, with particular
    reference to Morecambe Bay
  • Equity of access to adult hospice inpatient care
    in NW England
  • An International Observatory on End of Life Care

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Palliative care
  • Directed at providing comfort and relief to a
    terminally-ill person, through symptom and pain
    management
  • Good care addresses mental and spiritual needs
  • It may be offered in specialised settings
    (hospices) but also at home and in hospital
  • Focus here is primarily on patients with terminal
    cancer rather than other causes of death

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Place of death among cancer patients in Morecambe
Bay
  • Place of death is distributed primarily among
    home hospital and hospice
  • But since people terminally ill with cancer, in
    general, prefer to die at home (70) or in a
    hospice, are there inequities in access?
  • What factors predict place of death? Study of
    deaths 1993-2000

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Background to study
  • Existing evidence of a relationship between death
    at home, and deprivation (work by Irene
    Higginson) next slide
  • But there is a geography to this. We need to
    allow for the supply side low rates of home
    deaths may be due to relatively good provision of
    hospice services

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Setting and data
  • Three main centres of population
  • Lancaster/Morecambe (hospice in Lancaster with 21
    beds)
  • Barrow (hospice in Ulverston with 8 beds)
  • Kendal (south Lakeland)
  • Data postcode, age, sex, place of death, cancer
    site, year of death electoral ward of residence,
    catchment area and Carstairs index added

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Forms of analysis
  • Binomial regression models fitted to ward-level
    data, looking at impact of deprivation
    (Carstairs) and other factors
  • Binary logistic regression models fitted to
    individual-level data, for each place of death
    (that is, what explains home v other PoD,
    hospice v other PoD etc)

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Figure 1
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Summarising.
  • Once we allow for other factors we can picture
    the effect of deprivation on place of death, by
    taking a hypothetical ward located 15 km from
    Lancaster.
  • This shows that deprivations has no effect on the
    probability of dying at home (or in a hospice)
    but it does for hospital.

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Figure 2
21
Individual level analysis
  • Results here suggest that cancer patients are
    more likely to die at home if
  • They live in more affluent wards
  • They are male
  • They are relatively young
  • They have a respiratory cancer
  • They live in Barrow or south Lakeland
  • Note we lack individual data on occupation

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Summarising.
  • There are inequalities according to age and
    gender in place of death
  • No data on individual occupation, but there is
    evidence that area characteristics playa part in
    influencing place of death.

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Equity of service access
  • Access to, and availability of, specialist
    palliative care services is variable and
    inequitable throughout the country
  • Looking at hospice care in particular
  • a significant proportion of people with advanced
    cancer suffer from a range of complex problems
    physical, psychological, social and spiritual
    which cannot always be dealt with effectively by
    generalist services in hospitals or the
    community
  • (NICE Guidance, 2002)

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Equity of service access
  • To what extent are hospices in the NW provided
    equitably?
  • To answer this we need data on
  • Locations of hospices and bed supply
  • demand for service (cancer incidence)
  • Travel time assumed via road network
    characteristics

28
Data
  • 27 hospices providing in-patient care (4-36 beds)
  • Access score for each electoral ward derived
    using a simple gravity model
  • Deprivation scores for 1019 wards
  • Age-specific death rates, for all cancers,
    applied to small area population data to predict
    cancer demand

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International Observatory
  • AIMS
  • To provide clear and accessible research-based
    information on palliative care in the global
    context using social science methods
  • To disseminate this information through the
    Observatory website and through other means
  • To undertake primary research studies and reviews
    to generate such information
  • To develop a small grants programme to support
    academic work in resource poor regions
  • To work in partnership with key organisations and
    individuals locally, nationally and
    internationally
  • www.eolc-observatory.net

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