Perceptions of organisational subculture and their significance for organisational commitment

This paper investigates the relationship between perceptions of organisational culture, organisational subculture, leadership style, and commitment. The impact of culture and leadership style on commitment has been previously noted, but there is a lack of detail regarding how different types of culture and leadership styles relate to commitment. The paper particularly addresses the notion of organisational subcultures and how the perception of those cultures relates to commitment, subculture being a neglected variable in the commitment literature. These issues were addressed in a survey of 258 nurses drawn from a range of hospital settings and wards within the Sydney metropolitan region. Results indicate that perceived organisational subculture has a strong relationship with commitment. Furthermore, the results identify the relative strength of specific types of leadership style and specific types of subculture with commitment. Both innovative and supportive subcultures have a clear positive relationship, while bureaucratic subcultures have a negative relationship. In terms of leadership style, a consideration style had a stronger relationship with commitment than a structuring style. Regression analysis was used to investigate the possible role of subculture as a mediator for the influence of leadership on commitment. Both direct and indirect effects of leadership on commitment were found. Implications for practice and for further research are discussed.

The use of cusum analysis in the early detection and management of hospital bed occupancy crises

Objective: To assess the value of cusum analysis in hospital bed management. Design: Comparative analysis of medical patient flows, bed occupancy, and emergency department admission rates and access block over 2 years. Setting: Internal Medicine Services and Emergency Department in a teaching hospital. Interventions: Improvements in bed use and changes in the level of available beds. Main outcome measures: Average length of stay; percentage occupancy of available beds; number of patients waiting more than 8 hours for admission (access block); number of medical patients occupying beds in non-medical wards; and number of elective surgical admissions. Results: Cusum analysis provided a simple means of revealing important trends in patient flows that were not obvious in conventional time-series data. This prompted improvements in bed use that resulted in a decrease of 9500 occupied bed-days over a year. Unfortunately and unexpectedly, after some initial improvement, the levels of access block, medical ward congestion and elective surgical admissions all then deteriorated significantly. This was probably caused by excessive bed closures in response to the initial improvement in bed use. Conclusion: Cusum analysis is a useful technique for the early detection of significant changes in patient flows and bed use, and in determining the appropriate number of beds required for a given rate of patient flow.

Is modern medicine at risk of losing the plot?

Contemporary medicine has much to its credit, but has created an insatiable demand for new technologies and more health services, fed by commercial promotion, professional advocacy and sociopolitical pressure. Total health expenditure at the national level is now almost 10% of gross domestic product and is expected to top 16% by 2020. After recent inquiries into the failings of its public health system, the Queensland Government has committed itself to a 25% increase in expenditure on health over the next 5 years. But will it lead to better population health, and is it sustainable? The return-on-investment curve for modern health care may be flattening out, in an environment of growing numbers of older patients with chronic illnesses, maldistribution of services and hospital overcrowding. A change in thinking is required if current medical practice is to avoid imploding when confronted with the next major economic downturn. Health policy, service funding and clinical training must focus on critical appraisal of the effectiveness of health care technologies and the structure and financing of health care systems. Practising clinicians will be obliged to provide leadership in determining value for money in the choice of health care for specific patient populations and how that care is delivered.

Drug Administration: rules and regulations for health care practitioners

These narrated slides explain the roles, responsibilites and practicalities in administering drugs. Although it has been developed with student nurses and midwives in mind it will be of use to students of all health care professions.

Supplemental security income overpayments to Medicaid nursing home residents can be reduced, Department of Health, Education, and Welfare, Social Security Administration, Health Care Financing Administration : report to the Congress /

Supt. of Docs. no. : GA 1.13:HRD-77-131

President's Private Sector Survey on Cost Control : report on Department of Health and Human Services, Public Health Service/Health Care Financing Administration.

Mode of access: Internet.

Medicare financial management : further improvements needed to establish adequate financial control and accountability : report to the Administrator, Health Care Financing Administration /

"B-284462"--P. 3.

Report on the Department of Health and Human Services--Public Health Service, Health Care Financing Administration /

Also known as: The Grace report.