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It's clear from the examples above that the effective management of variability in service operations often requires a company to influence customers' behavior.
While there is variability in service provision across European capital cities, the reported barriers to service accessibility are common.
The variability in service times of providers, nature of treatment, and type of patients affect the performance of appointment systems [ 24].
1 Unexplained variability in service quality and outcomes has been identified as a significant issue. 2 The recent white paper has called for a greater transparency including the provision of access by patients to their electronic records.
There was marked variability in service provision with an approximate 3.5-fold difference between hospitals in the proportion of episodes receiving a specialist assessment, a 4-fold difference in medical admission and an almost 6-fold difference in the proportion of episodes referred for specialist follow-up care.
For example, some felt that the DAM's consideration of the different types of STI service that may be available in a locality was over-simplified and that it did not capture the variability in service provision, for instance between different GUM clinics and between different general practices.The 'reductionist' criticism also applied to the DAM's inputs and outputs.
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This may lead to variability in services and barriers to appropriate health care.
Figure 1 details the item-by-item variability in services' responses to the 15 questions.
The variability in services assessed across cities may in part be due to the demographic profile of each research area.
GPs appear to be ideally placed for early identification and intervention, but variability in services due to the broad and complex range of individuals seen in primary care, and the different pathways through which individuals enter the CJS means this cannot be the only provision relied upon.
By using the patient tracker (PT) data, appropriate probability distributions of service times of staff were fitted to model different variability in staff service times.
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