Increased independence

To reduce the number of permanent admissions of older people (aged 65 and over) to residential and nursing care homes

To reduce the percentage of appropriate admissions to residential care in people aged 65+ per 100,000 to 595.4.Explore the data
people aged 65+ per 100,000
Final
595.4people aged 65+ per 100,000
Mar 2017 Target
Goal Period ended March 2017

        Quarter 4 - End of Year Commentary


        2016-17 has seen a year with unprecedented demand on Adult Services for long term care. A range of alternative options have been put in place to reduce the number of residents who are admitted to care homes on a long term basis. These include increased community based reablement and transitional care home placements, which both enable people regain their skills, maximise their independence, and remain at home and independent for longer.

        Period to December 2016


        For the period to the end of December 2016, this goal is on track with a current admission rate of 394.

        There continues to be significant demand pressure on Adult Services for long-term care home places, particularly relating to hospital discharges. Staff continue to use a variety of re-ablement and transition schemes across county to ensure that where possible, people can recover and regain their skills, so they can return home.

        Quarter 1 - June 2016


        For the first quarter of 2015/16, this goal track with a current admission rate of 149. Frontline teams continue to manage the demand for long term placements with an increasing focus on engaging individuals with community services.

        The next update is due in October for the quarter to September 2016.

        This goal measures the rate at which people over the age of 65 are permanently admitted into residential or nursing accommodation, as part of the support provided by West Sussex County Council. We aim to minimise this, as part of our determination to promote independence and to support people to live in their own homes. The needs of our customers will, however, always remain the primary focus.

      Data Governance

      describes the quality of the data itself. Governance issues generally indicate that the data source is considered incomplete or unreliable.

      Model Health

      describes the quality of the predictive model. If the model health is poor, the trend prediction should not be trusted.

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