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Purpose: This study compared the quality of healthcare before and after implementation of a policy restructuring the healthcare delivery system and estimated the impact of centralization., Methods: We used the National Clinical Database to study patients undergoing esophagectomies from 2011 to 2016. We compared the effect of centralization based on the patient background, surgical mortality, and year of surgery. Difference-in-difference methods based on the generalized estimating equation logistic regression model were used for before-and-after comparisons after adjusting for patient-level expected surgical mortality., Results: In total, 34,640 cases were identified. More cases with risk factors were noted in ultra-low-volume hospitals, where 38.4% of cases in underpopulated areas were treated, than in higher volume facilities, and the operative mortality, readmission within 30 days and length of stay were worse among patients treated in these hospitals. In centralized prefectures, the number of cases per hospital increased over time (7.2 in 2011 to 9.5 in 2016) while the crude operative mortality tended to decrease (3.4% in 2011 to 1.8% in 2016). The difference-in-difference estimator was 0.856 (95% confidence interval: 0.639-1.147, p = 0.298)., Conclusion: The centralization of ultra-low-volume hospitals did not lead to a deterioration in the quality of care but rather an improving trend.

Perinatal epidemiology examines the variation and determinants of pregnancy outcomes from a maternal and neonatal perspective. However, improving public and population health also requires the translation of this evidence base into substantive public policies. Assessing the impact of such public policies requires sufficient data to include potential confounding factors in the analysis, such as coexisting medical conditions and socioeconomic status, and appropriate statistical and epidemiological techniques. This review will explore policies addressing three areas of perinatal medicine-elective deliveries prior to 39 weeks' gestation; perinatal regionalization; and mandatory paid maternity leave policies-to illustrate the challenges when assessing the impact of specific policies at the patient and population level. Data support the use of these policies to improve perinatal health, but with weaker and less certain effect sizes when compared to the initial patient-level studies. Improved data collection and epidemiological techniques will allow for improved assessment of these policies and the identification of potential areas of improvement when translating patient-level studies into public policies., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: In order to monitor quality and efficiency in the use of health resources for highly specialised medicine, a National Professional Council has since 1990 advised the Norwegian health authorities on the establishing and localisation of such services., Materials and Method: A comprehensive review of both the quality, economy and the geographical distribution of patients in each specialised service has been carried out., Results: 33 defined national programmes were centralised to one hospital only and distributed among seven university hospitals. Eight multiregional programmes were centralised to two hospitals only and included four university hospitals. In 2001, a total of 2711 new patients were treated in these programmes. The system seems to have secured a sufficient patient flow to each programme so as to maintain quality. However, a geographically skewed distribution of patients was noted, particularly in some of the national programmes., Interpretation: In a small country like Norway, with 4.5 million inhabitants, a centralised monitoring of highly specialised medicine seems both rational and successful. By the same logic, however, international cooperation should probably be sought for the smallest patient groups.