Social security data predict use of inpatient services
Social security data reflecting household income (income support,
family credit, elderly people living alone, all ages standard mortality
ratio, and low birth weight) predict use of inpatient services. The
information can be used to develop a statistical model in which four of
these variables can be updated between censuses to predict use of
hospital services. Carr-Hill and colleagues (p 390), who used the
resulting population risk adjustment formula in electoral wards in
Northern Ireland, conclude that resources should be moved from urban to
rural areas.
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- Risk adjustment for hospital use using social security data: cross sectional small area analysis
- Roy A Carr-Hill, James Q Jamison, Dermot O'Reilly, Michael R Stevenson, James Reid, and Barry Merriman
BMJ 2002 324: 390.[Abstract] [Full Text] [PDF]
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