Orthopedic workforce planning in Germany - an analysis of orthopedic accessibility.
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ABSTRACT:
SUBMITTER: Bauer J
PROVIDER: S-EPMC5298336 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
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Orthopedic workforce planning in Germany - an analysis of orthopedic accessibility.
Bauer Jan J Müller Peter P Maier Werner W Groneberg David A DA
PloS one 20170208 2
In Germany, orthopedic workforce planning relies on population-to-provider-ratios represented by the 'official degree of care provision'. However, with geographic information systems (GIS), more sophisticated measurements are available. By utilizing GIS-based technologies we analyzed the current state of demand and supply of the orthopedic workforce in Germany (orthopedic accessibility) with the integrated Floating Catchment Area method. The analysis of n = 153,352,220 distances revealed signifi ...[more]
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Project description:IntroductionThe Covid-19 pandemic has required countries to prepare their health workforce for a rapid increase of patients. This research aims to analyse the planning and health workforce policies in Germany, a country with a largely decentralised workforce governance mechanism.MethodsSystematic search between 18 and 31 May 2020 at federal and 16 states on health workforce action and planning (websites of ministries of health, public health authorities), including pandemic preparedness plans and policies. The search followed World Health Organisation (WHO) Europe's health workforce guidance on Covid-19. Content analysis was performed, informed by the themes of WHO.ResultsThe pandemic preparedness plans consisted of no or limited information on how to expand and prepare the health workforce during pandemics. The 16 states varied considerably regarding implementing strategies to expand health workforce capacities. Only one state adopted a policy on task-shifting despite a federal law on task-shifting during pandemics.ConclusionsPlanning on the health workforce, its capacity and skill-mix during pandemics was limited in the pandemic response plans. Actions during the peak of the pandemic varied considerably across states, were implemented ad hoc and with limited planning. Future action should focus on integrated planning and evaluation of workforce policies.
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Project description:BACKGROUND:A goal of health workforce planning is to have the most appropriate workforce available to meet prevailing needs. However, this is a difficult task when considering integrated care, as future workforces may require different numbers, roles and skill mixes than those at present. With this uncertainty and large variations in what constitutes integrated care, current health workforce policy and planning processes are poorly placed to respond. In order to address this issue, we present a scenario-based workforce planning approach. METHODS:We propose a novel mixed methods design, incorporating content analysis, scenario methods and scenario analysis through the use of a policy Delphi. The design prescribes that data be gathered from workforce documents and studies that are used to develop scenarios, which are then assessed by a panel of suitably qualified people. Assessment consists of evaluating scenario desirability, feasibility and validity and includes a process for indicating policy development opportunities. RESULTS:We confirmed our method using data from New Zealand's Older Persons Health sector and its workforce. Three scenarios resulted, one that reflects a normative direction and two alternatives that reflect key sector workforce drivers and trends. One of these, based on alternative assumptions, was found to be more desirable by the policy Delphi panel. The panel also found a number of favourable policy proposals. CONCLUSIONS:The method shows that through applying techniques that have been developed to accommodate uncertainty, health workforce planning can benefit when confronting issues associated with integrated care. The method contributes to overcoming significant weaknesses of present health workforce planning approaches by identifying a wider range of plausible futures and thematic kernels for policy development. The use of scenarios provides a means to contemplate future situations and provides opportunities for policy rehearsal and reflection.
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Project description:BACKGROUND:This study assessed incidence, risk factors, and outcomes of Staphylococcus aureus infections (SAI) following endoprosthetic hip or knee, or spine surgeries. METHODS:Adult patients with at least one of the selected surgeries from 2012 to 2015 captured in a German sickness fund database were included. SAI were identified using S. aureus-specific ICD-10 codes. Patients with certain prior surgeries and infections were excluded. Cumulative incidence and incidence density of post-surgical SAI were assessed. Risk factors, mortality, healthcare resource utilization and direct costs were compared between SAI and non-SAI groups using multivariable analyses over the 1 year follow-up. RESULTS:Overall, 74,327 patients who underwent a knee (28.6%), hip (39.6%), or spine surgery (31.8%) were included. The majority were female (61.58%), with a mean age of 69.59 years and a mean Charlson Comorbidity Index (CCI) of 2.3. Overall, 1.92% of observed patients (20.20 SAI per 1000 person-years (PY)) experienced a SAI within 1 year of index hospitalization. Knee surgeries were associated with lower SAI risk compared with hip surgeries (Hazard Ratio (HR) = 0.8; p = 0.024), whereas spine surgeries did not differ significantly from hip surgeries. Compared with non-SAI group, the SAI group had on average 4.4 times the number of hospitalizations (3.1 vs. 0.7) and 7.7 times the number of hospital days (53.5 vs. 6.9) excluding the index hospitalization (p < 0.001). One year post-orthopedic mortality was 22.38% in the SAI and 5.31% in the non-SAI group (p < 0.001). The total medical costs were significantly higher in the SAI group compared to non-SAI group (42,834€ vs. 13,781€; p < 0.001). Adjusting for confounders, the SAI group had nearly 2 times the all-cause direct healthcare costs (exp(b) = 1.9; p < 0.001); and 1.72 times higher risk of death (HR = 1.72; p < 0.001). CONCLUSIONS:SAI risk after orthopedic surgeries persists and is associated with significant economic burden and risk of mortality. Hence, risk reduction and prevention methods are of utmost importance.
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Project description:Counting health personnel and defining migration is more complicated than one should think at first glance. Migrating health workers are not a homogenous group, and many factors cause people to migrate-not only low wages but also lack of professional development possibilities, poor job satisfaction, outdated equipment, unsafe environment, and more. The opposite factors encourage people to stay. Many countries, including high-income countries benefit from remittances from migrating individuals. The World Health Organization has installed a code of Practice on the international recruitment of health workers. Although member countries have committed to follow this Code, it is not widely adhered to. Planning for the future is difficult, also because there are so many unknown factors related to the development of health-care levels, policies, inflow and outflow and more. Action must be taken in both donor and receiving countries. In anesthesiology, there is a huge workforce deficit globally. The world would need 136,000 additional physician anesthesia providers today to achieve an absolute minimum of five per 100,000 population. This will not happen unless all countries follow those that already have taken proactive steps in leading the direction forward. Anaesthesiology Society involvement is crucial.
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Project description:BackgroundIn Belgium, the Planning Commission for Medical Supply is responsible for monitoring human resources for health (HRH) and ultimately proposing workforce quotas. It is supported by the Planning Unit for the Supply of the Health Professions. This Unit quantifies and forecasts the workforce in the healthcare professions on the basis of a stock and flow model, based on trends observed in the past. In 2019, the Planning Unit asked the KCE (Belgian Health Care Knowledge Centre) to develop additional forecasting scenarios for the midwifery workforce, to complement the standard historical trend approach. The aim of this paper is to present the development of such forecasting scenarios.MethodsThe Robust Workforce Planning Framework, developed by the Centre for Workforce Intelligence in the UK was used to develop alternative midwifery workforce scenarios. The framework consists of four steps (Horizon scanning, Scenario generation, Workforce modelling, and Policy analysis), the first two of which were undertaken by KCE, using two online surveys and five workshops with stakeholders.ResultsThree alternative scenarios are proposed. The first scenario (close to the current situation) envisages pregnancy and maternity care centred on gynaecologists working either in a hospital or in private practice. The second scenario describes an organisation of midwife-led care in hospitals. In the third scenario, care is primarily organised by primary care practitioners (midwives and general practitioners) in outpatient settings.ConclusionsThe Robust Workforce Planning Framework provides an opportunity to adjust the modelling of the health workforce and inform decision-makers about the impact of their future decisions on the health workforce.
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