ArgumentSince the 1970s, Danish population registries were increasingly used for research purposes, in particular in the health sciences. Linked with a large number of disease registries, these data infrastructures became laboratories for the development of both information technology and epidemiological studies. Denmark's system of population registries had been centralized in 1924 and was further automated in the 1960s, with individual identification numbers (CPRnumbers) introduced in 1968. The ubiquitous presence of CPR-numbers in administrative routines and everyday lives created a continually growing data archive of the entire population. The resulting national-level database made possible unprecedented record linkage, a feature epidemiologists and biomedical scientists used as a resource for population health research. The specific assemblages that emerged with their practices of data mining were constitutive of registry-based epidemiology as a style of thought and of a distinct relationship between science, citizens, and the state that emerged as "Scandinavian."188 Susanne Bauer will be printed, together with the new resident's name, the 10-digit CPR-number and the address on the "yellow CPR-card." While it takes some days until the plastic card is sent out, the number itself spreads quickly -a host of people and institutions already wait for it, as their routines and software demand it, e.g. in contracts for employment and housing, the pension fund, electricity or telephone companies, the local library or a sponsored language course. Introduced in 1968, the CPR-number has played a central role in the organization of Danish society. It functions as identifier and shortcut between institutions and for contracts, as an underlying infrastructure of public services from taxation to healthcare. For the healthcare systems, connections between the central population registry and health matters range from the choice of one general practitioner in the registration office through patient registries, automated invitations to screenings to the numerous disease registries.Denmark was neither the only country nor the first one to implement such a central identification number and in many ways the CPR-number corresponds to social security numbers in other countries. What is different is the extent of its usage, its significance in everyday life and the degree of linkage enabled by this ID-number. CPR-numbers and their usage produce a continually growing archive of information that records and stores information on interactions between citizens and the state as well as many corporate bodies providing services to citizens, such as privatized telephone companies. Significantly, a welfaristic concept of the role of public services that brought about data keeping and the traceability of each individual resident also coshaped the approaches taken in empirical social sciences and public health research in Denmark.For the case of health research, this paper examines how the system of population registries was instrumental in dev...

Little information is available on the health effects of exposures to fallout from Soviet nuclear weapons testing and on the combined external and internal environmental exposures that have resulted from these tests. This paper reports the first analysis of the Semipalatinsk historical cohort exposed in the vicinity of the Semipalatinsk nuclear test site, Kazakhstan. The cohort study, which includes 19,545 inhabitants of exposed and comparison villages of the Semipalatinsk region, was set up in the 1960s and comprises 582,750 person-years of follow-up between 1960 and 1999. Cumulative effective radiation dose estimates in this cohort range from 20 mSv to approximately 4 Sv. Rates of mortality and cancer mortality in the exposed group substantially exceeded those of the comparison group. Dose-response analyses within the exposed group confirmed a significant trend with dose for all solid cancers (P < 0.0001) and for digestive and respiratory cancers (P = 0.0255 and P < 0.0001), whereas no consistent dose-response trend was found for all causes of death (P = 0.4296). Regarding specific cancer sites, a significant trend with dose was observed for lung cancer (P = 0.0001), stomach cancer (P = 0.0050), and female breast cancer (P = 0.0040) as well as for esophagus cancer in women (P = 0.0030). The excess relative risk per sievert for all solid cancers combined was 1.77 (1.35; 2.27) based on the total cohort data, yet a selection bias regarding the comparison group could not be entirely ruled out. The excess relative risk per sievert based on the cohort's exposed group was 0.81 (0.46; 1.33) for all solid cancers combined and thus still exceeds current risk estimates from the Life Span Study. Future epidemiological assessments based on this cohort will benefit from extension of follow-up and ongoing validation of dosimetric data.

In recent years and across many nations, public health has become subject to forms of governance that are said to be aimed at establishing accountability. In this introduction to a special issue, From Person to Population and Back: Exploring Accountability in Public Health, we suggest opening up accountability assemblages by asking a series of ostensibly simple questions that inevitably yield complicated answers: What is counted? What counts? And to whom, how and why does it count? Addressing such questions involves staying attentive to the technologies and infrastructures through which data come into being and are made available for multiple political agendas. Through a discussion of public health, accountability and datafication we present three key themes that unite the various papers as well as illustrate their diversity.

Aim As there is little evidence for concurrent validity of the Eating and Drinking Ability Classification System (EDACS), this study aimed to determine its concurrent validity and reliability in children and adolescents with cerebral palsy (CP). Method After an extensive translation procedure, we applied the German language version to 52 participants with CP (30 males, 22 females, mean age 9y 7mo [SD 4y 2mo]). We correlated (Kendall's tau or Kτ) the EDACS levels with the Bogenhausener Dysphagiescore (BODS), and the EDACS level of assistance with the Manual Ability Classification System (MACS) and the item ‘eating’ of the Functional Independence Measure for Children (WeeFIM). We further quantified the interrater reliability between speech and language therapists (SaLTs) and between SaLTs and parents with Kappa (κ). Results The EDACS levels correlated highly with the BODS (Kτ=0.79), and the EDACS level of assistance correlated highly with the MACS (Kτ=0.73) and WeeFIM eating item (Kτ=−0.80). Interrater reliability proved almost perfect between SaLTs (EDACS: κ=0.94; EDACS level of assistance: κ=0.89) and SaLTs and parents (EDACS: κ=0.82; EDACS level of assistance: κ=0.89). Interpretation The EDACS levels and level of assistance seem valid and showed almost perfect interrater reliability when classifying eating and drinking problems in children and adolescents with CP. What this paper adds The Eating and Drinking Ability Classification System (EDACS) correlates well with a dysphagia score. The EDACS level of assistance proves valid. The German version of EDACS is highly reliable. EDACS correlates moderately to highly with other classification systems.

The data on risk of mortality from cardiovascular disease due to radiation exposure at low or medium doses are inconsistent. This paper reports an analysis of the Semipalatinsk historical cohort exposed to radioactive fallout from nuclear testing in the vicinity of the Semipalatinsk Nuclear Test Site, Kazakhstan. The cohort study, which includes 19,545 persons of exposed and comparison villages in the Semipalatinsk region, had been set up in the 1960s and comprises 582,656 person-years of follow-up between 1960 and 1999. A dosimetric approach developed by the U.S. National Cancer Institute (NCI) has been used. Radiation dose estimates in this cohort range from 0 to 630 mGy (wholebody external). Overall, the exposed population showed a high mortality from cardiovascular disease. Rates of mortality from cardiovascular disease in the exposed group substantially exceeded those of the comparison group. Dose–response analyses were conducted for both the entire cohort and the exposed group only. A dose–response relationship that was found when analyzing the entire cohort could be explained completely by differences between the baseline rates in exposed and unexposed groups. When taking this difference into account, no statistically significant dose–response relationship for all cardiovascular disease, for heart disease, or for stroke was found. Our results suggest that within this population and at the level of doses estimated, there is no detectable risk of radiation related mortality from cardiovascular disease.

Epidemiological risk scores are calculative devices that mediate and enact versions of accountability in public health and preventive medicine. This article focuses on practices of accountability by following a cardiovascular risk score widely used in medical counselling in Germany. We follow the risk score in the making, in action, and in circulation to explore how the score performs in doctor-patient relations, how it recombines epidemiological results, and how it shapes knowledge production and healthcare provision. In this way, we follow the risk score’s various trajectories – from its development at the intersection of epidemiology, general medicine and software engineering, to its usage in general practitioners’ offices, and its validation infrastructures. Exploring the translations from population to individual and back that are at work in the risk score and in the primary prevention of cardiovascular disease, we examine how versions and distributions of accountability are invoked and practiced as the score is developed and put to use. The case of a simple risk score used in everyday counselling brings into relief some key shifts in configurations of accountability with emerging versions of ‘health by the algorithm’. While there is an increasing authority of algorithmic tools in the fabric of clinical encounters, risk scores are interwoven with local specificities of the healthcare system and continue to be in the making.

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