The wear and tear on health: What is the role of occupation?

Health is well known to show a clear gradient by occupation. Although it may appear evident that occupation can affect health, there are multiple possible sources of selection that can generate a strong association, other than simply a causal effect of occupation on health. We link job characteristics to German panel data spanning 29 years to characterize occupations by their physical and psychosocial burden. Employing a dynamic model to control for factors that simultaneously affect health and selection into occupation, we find that selection into occupation accounts for at least 60% of the association. The effects of occupational characteristics such as physical strain and low job control are negative and increase with age: late‐career exposure to 1 year of high physical strain and low job control is comparable to the average health decline from ageing 16 and 6 months, respectively.     

What accounts for the regional differences in the utilisation of hospitals in Germany?

There are huge regional variations in the utilisation of hospital services in Germany. In 2007 and 2008 the states of Hamburg and Baden-Württemberg had on average just under 38 % fewer hospitalisations per capita than Saxony-Anhalt. We use data from the DRG statistics aggregated at the county level in combination with numerous other data sources (e.g. INKAR Database, accounting data from the National Association of Statutory Health Insurance Physicians (KBV), Federal Medical Registry, Germany Hospital Directory, population structure per county) to establish the proportion of the observed regional differences that can be explained at county and state levels. Overall we are able to account for 73 % of the variation at state level in terms of observable factors. By far the most important reason for the regional variation in the utilisation of in-patient services is differences in medical needs. Differences in the supply of medical services and the substitutability of outpatient and inpatient treatment are also relevant, but to a lesser extent.     

Do financial incentives influence the hospitalization rate of nursing home residents? Evidence from Germany

Efficient health‐care provision for nursing home residents is a concern in many OECD (Organization for Economic Cooperation and Development) countries. This paper analyzes whether nursing homes respond to financial incentives when deciding whether to hospitalize their residents. In Germany, reimbursements for nursing homes are reduced after a defined number of days when a resident stays in a hospital instead of a nursing home. As a result of a federal law introduced in 2008, some German states had to change the point at which reimbursements to nursing homes are reduced so that reductions are made from Day 4 instead of Day 1 of a resident's absence. This exogenously raised an incentive for the nursing homes affected to hospitalize residents especially for an expected short‐term stay. This analysis exploits the introduction of the law in a difference‐in‐difference approach, using market‐wide German‐DRG files covering all hospital patients discharged from hospitals to nursing homes from 2007 to 2011. The results suggest an increase of approximately 11% in short‐term hospital stays as a consequence of the longer reimbursement period introduced by the law.     

Better off at home? Effects of nursing home eligibility on costs,hospitalizations and survival

Encouraging and helping elderly to postpone a nursing home admission appears to be a win-win that keeps long-term care spending in check and is in line with the target population’s preferences, but there is little evidence about its effects. We study the causal impact of nursing home admission eligibility using Dutch administrative data and exploiting variation between randomly assigned assessors in their tendency to grant eligibility for a nursing home admission. We find a drop in medical care use when eligibility is granted, especially in hospital admissions, while total healthcare spending is unaffected. This suggests that postponing an admission may not always be a win-win after all.     

The impact of area deprivation on differences in health: does the choice of the geographical classification matter?

OBJECTIVE: Many studies show the average health status in deprived areas to be poorer and the use of health care to be higher, but there is hardly any information on the impact of the geographical classification on the size of these differences. This study examines the impact of the geographical classification on the clustering of poor health per area and on the size of the differences in health by area deprivation. DESIGN: Data on self reported health regarding 5121 people were analysed using three classifications: neighbourhoods, postcode sectors and boroughs. Multilevel logistic models were used to determine the clustering of poor health per area and the size of the differences in health by area deprivation, without and subsequently with adjustment for individual socioeconomic status. SETTING: General population aged 16 years and over of Amsterdam, The Netherlands. MAIN OUTCOME MEASURES: Self rated health, mental symptoms (General Health Questionnaire, 12-item version), physical symptoms and long term functional limitations. MAIN RESULTS: The clustering of poor health is largest in neighbourhoods and smallest in postcode sectors. Health differences by area deprivation differ only slightly for the three geographical classifications, both with and without adjustment for individual socioeconomic status. CONCLUSIONS: In this study, the choice of the geographical classification affects the degree of clustering of poor health by area but it has hardly any impact on the size of health differences by area deprivation.     

The road to efficiency? Re-examining the impact of the primary care physician workforce on health care utilization rates

Research suggests that primary care physicians may help to control health care costs by encouraging more efficient service use. However, most studies do not account for data aggregation effects that can significantly affect the direction and magnitude of findings. To re-examine the association between the proportion of primary care physicians and health care utilization rates in an area, and investigate the potential impact of aggregating data to different geographic levels on these observed associations, we estimate four distinct cross-sectional multivariate regression models to predict health care utilization at the county level and the metropolitan statistical area (MSA) level using data from 2007.     

Is the British National Health Service equitable? The evidence on socioeconomic differences in utilization

Is the British National Health Service (NHS) equitable? This paper considers one part of the answer to this: the utilization of the NHS by different socioeconomic groups (SEGs). It reviews recent evidence from studies on NHS utilization as a whole based on household surveys (macro-studies) and from studies of the utilization of particular services in particular areas (micro-studies). The principal conclusion from the majority of these studies is that, while the distribution of use of general practitioners (GPs) is broadly equitable, that for specialist treatment is pro-rich. Recent micro-studies of cardiac surgery, elective surgery, cancer care, preventive care and chronic care support the findings of an earlier review that use of services was higher relative to need among higher SEGs.