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Results for “Service Statistics”

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At least 289 records · Page 16Linked to original sources
PubMed1977

Investigating an epidemic: a seven-part simulation used in teaching.

A seven-part exercise is described, based on published accounts of a school epidemic. Students have to complete each part before receiving the next: cumulative mistakes are therefore avoided. Analysis over four years shows consistent patterns of student responses. Details of statistical tests of the data are given.

Child↗
PubMed1995

Caries experience in rural Victorian adolescents.

An oral health status survey was conducted on 818 adolescents aged 12 to 16 years in a non-fluoridated area in rural Victoria. The prevalence and severity of dental caries experience was found to increase with age. The occlusal surface was the predominant surface affected by dental caries for all age groups. Filled surfaces represented the largest component of the DMFS index and were responsible for the increasing dental caries experience with age. Fewer fissure sealants were present with increasing age and second molars were sealed less often than the first molars. Although no difference was evident in the total caries experience between those with and without access to public dental services, a statistical difference was found to exist in unmet need between these two groups. Untreated caries levels were significantly higher in health card holders. The provision of preventive and dental treatment services to this group should be a priority in the future.

Adolescent↗
PubMed1999

Data and simulation modeling to determine the estimated number of primary care beds in Oklahoma.

Growth in managed care has resulted in an increased need for studies in health care planning. The article focuses on the estimated number of primary care beds needed in the state to provide quality services to all Oklahoma residents. Based on the 1996 population estimations for Oklahoma and its distribution to the 77 counties, a space-filling approach is used to determine 46 service areas, each of which will provide primary care service to its area population. Service areas are constructed such that residents of an area are within an acceptable distance to a primary care provider in the area. A simulation model is developed to determine the number of primary care beds needed in each service area. Statistical analysis on actual hospital data is used to determine the distributions of inpatient flow and length of stay. The simulation model is validated for acute care hospitals before application to the service areas. Sensitivity analysis on model input parameter values is performed to determine their effect on primary care bed calculations. The effect of age distribution on the bed requirement is also studied. The results of this study will assist the Oklahoma Health Care Authority in the development of sound health care policy decisions.

Catchment Area, Health↗
PubMed1990

Clinical pharmacy workload measurement: pharmacokinetic and drug information services.

Clinical workload measurement statistics have not been completely documented or related to service characteristics. The Clinical Hospital Pharmacy Administrative Group of British Columbia measured the time required for provision of clinical pharmacokinetic and drug information services utilizing standard definitions of component activities. Pharmacists in 10 participating hospitals independently recorded the time required for the various components of these services. The data collected allows for an estimation of workload requirements by similar institutions and allows for comparison of the impact of differences in methods of organization of the services on workload measurement.

British Columbia↗
PubMed1992

Rationality and the use of formulae in the allocation of resources to health care.

The paper describes how the apparent move towards rationality in allocating resources in the National Health Service using statistically based formulae is illusory. This is not just a technical problem of poor application of statistical techniques. The basic problem is to find a combination of factors reflecting dimensions of need and then appropriate weights with which to combine them within the context of the guiding principles of equity and efficiency. The paper explains how there has been little consistency in measuring need and how statistical methods have often masked the lack of appropriate data and models. Alternative approaches to measuring need within a policy context are discussed and a research agenda is outlined which, rather than concentrating on evermore complex statistical techniques, focuses on the necessity for more validly operationalizing 'needs' and their resource implications.

Health Resources↗