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In 2009, the Democratic Republic of Congo (DRC) started its journey towards achieving Universal Health Coverage (UHC). This study examines the evolution of financial risk protection and health outcomes indicators in the context of the commitment of DRC to UHC. To measure the effects of such a commitment on financial risk protection and health outcomes indicators, we analyse whether changes have occurred over the last two decades and, if applicable, when these changes happened. Using five variables as indicators for the measurement of the financial risk protection component, there as well retained three indicators to measure health outcomes. To identify time-related effects, we applied the parametric approach of breakpoint regression to detect whether the UHC journey has brought change and when exactly the change has occurred.
Although there is a slight improvement in the financial risk protection indicators, we found that the adopted strategies have fostered access to healthcare for the wealthiest quantile of the population while neglecting the majority of the poorest. The government did not thrive persistently over the past decade to meet its commitment to allocate adequate funds to health expenditures. In addition, the support from donors appears to be unstable, unpredictable and unsustainable. We found a slight improvement in health outcomes attributable to direct investment in building health centres by the private sector and international organizations. Overall, our findings reveal that the prevention of catastrophic health expenditure is still not sufficiently prioritized by the country, and mostly for the majority of the poorest. Therefore, our work suggests that DRC’s UHC journey has slightly contributed to improve the financial risk protection and health outcomes indicators but much effort should be undertaken.
Resource and cost constraints in hospitals demand thorough planning of operating room schedules. Ideally, exact start times and durations are known in advance for each case. However, aside from the first case’s start, most factors are hard to predict. While the role of the start of the first case for optimal room utilization has been shown before, data for to-follow cases are lacking. The present study therefore aimed to analyze all elective surgery cases of a university hospital within 1 year in search of visible patterns. A total of 14,014 cases scheduled on 254 regular working days at a university hospital between September 2015 and August 2016 underwent screening. After eliminating 112 emergencies during regular working hours, 13,547 elective daytime cases were analyzed, out of which 4,346 ranked first, 3,723 second, and 5,478 third or higher in the daily schedule. Also, 36% of cases changed start times from the day before to 7:00 a.m., with half of these (52%) resulting in a delay of more than 15 min. After 7:00 a.m., 87% of cases started more than 10 min off schedule, with 26% being early and 74% late. Timeliness was 15 ± 72 min (mean ± SD) for first, 21 ± 84 min for second, and 25 ± 93 min for all to-follow cases, compared to preoperative day planning, and 21 ± 45, 23 ± 61, and 19 ± 74 min compared to 7:00 a.m. status. Start time deviations were also related to procedure duration, with cases of 61–90 min duration being most reliable (deviation 9.8 ± 67 min compared to 7:00 a.m.), regardless of order. In consequence, cases following after 61–90 min long cases had the shortest deviations of incision time from schedule (16 ± 66 min). Taken together, start times for elective surgery cases deviate substantially from schedule, with first and second cases falling into the highest mean deviation category. Second cases had the largest deviations from scheduled times compared to first and all to-follow cases. While planned vs. actual start times differ among specialties, cases of 61–90 min duration had the most reliable start times, with neither shorter nor longer cases seeming to improve timeliness of start times.
Strategic Management in Healthcare: A Call for Long-Term and Systems-Thinking in an Uncertain System
(2022)
Strategic management is becoming increasingly important for sustainable management in healthcare. The reasons for this can be seen in the increasing complexity, dynamics and uncertainty of the system’s regimes and the resulting need for strategic thinking in a long-term period. The scientific discussion of this issue is the aim of the present analytical framework. The starting point is the definition of the term strategic management itself, followed by a reflection on the requirements resulting from the changes in the political, social and economic value systems of our post-industrial society. In this context, Dynaxity Zone III is used to explain the long-term perspective, the high levels of complexity and uncertainty and the responsibility of strategic management as important parameters. For a practical illustration, we demonstrate two selected applications (German hospital financing systems and development process of implants) and how the implementation of strategic management in the health care system shows success.
Background and objective
Political, economic, communicative and cultural borders still limit the accessibility of acute healthcare services for patients so that they frequently have to accept longer distances to travel to the next provider within their own country. In this paper, we analyze the impact of borders and opening of borders on acute medical care in hospitals and on patients in border regions.
Methods
We develop a conceptual framework model of cross-border healthcare and apply it to the Polish–German border area. The model combines the distance decay effect, a catchment area analysis, economies of scale and the learning curve.
Results
Borders have a major impact on acute medical care in hospitals and on patients. Setting of new borders will reduce the accessibility of health facilities for patients or require the establishment of new hospitals. Reopening borders might induce a vicious circle leading to the insolvency of a hospital which might result in poorer health for some patients.
Conclusion
Strong effort should be invested to overcome political and cultural borders to improve the health of the population in border regions. Similarly, increased cross-border acute healthcare must be seen in the context of rural health and the special situation of small rural hospitals in rural peripheral areas.
Abstract
Aim
This study analysed the comparative cost of feeding donor human milk to preterm infants compared to mother's own milk and formula.
Methods
A document and process analysis and a time measurement study were carried out at the milk bank of the Level 1 Perinatal Center of the University Hospital of Greifswald, Germany, from April to June 2017. The cost analysis data were provided by the University's financial department.
Results
The total cost per year was €92 085.02 for 300 litres of donor human milk: 27% of this was material costs, 51% was personnel costs, and 22% was other overheads. The average cost per litre was €306.95, and staff time was 492 minutes per litre. The total marginal cost for each additional litre of donor human milk, formula or unpasteurised mother´s milk was €82.88, €10.28 and €38.42, respectively. Pasteurising a litre of donor milk cost €3.51.
Conclusion
Providing preterm infants with donor milk was much more expensive than using formula or mother's own milk, but the cost of pasteurisation was minimal.
Aim
A shortage in primary care physicians has been a well-known challenge in many Western countries for several years. In addition, we currently see a trend in primary care, where an increasing number of physicians work as employees instead of being self-employed, even among general practitioners. To address this shortage, knowledge of the future specialists’ attitudes toward working self-employed is needed. This qualitative systematic review aims to explore the attitudes of future specialists towards self-employment in private practice, and what factors influence these attitudes.
Subject and methods
We conducted a systematic search using PubMed, Embase, and Web of Science. We developed a search strategy that collected terms for future specialists, career choices, and self-employment and linked these with the Boolean operator “AND”. We analysed the results using a qualitative content analysis, as both qualitative and quantitative studies were included in the research.
Results
Self-employment is less attractive to future specialists. In particular, women prefer to be employed and receive a fixed salary. The main factors that influence the decision as to whether to become self-employed or not are financial conditions, bureaucracy and non-medical tasks, organisation, job satisfaction during residency, personal responsibility, career opportunities, specialty-dependent factors, personal environment, and education.
Conclusion
Among future specialists, being self-employed is less attractive than being an employee. Students should be better informed about future career opportunities to make an informed decision. However, it should be examined whether other forms of organisation are more in line with the wishes of future specialists.