3 results match your criteria: "Institute for Health Sciences (IACS)[Affiliation]"

Unravelling risk selection in Spanish general government employee mutual funds: evidence from cancer hospitalizations in the public health network.

Eur J Health Econ

November 2024

Data Science for Health Services and Policy Research Group, Aragon Health Sciences Institute, Institute for Health Sciences (IACS), San Juan Bosco 13 (CIBA Building), 50009, Zaragoza, Spain.

Government employees in Spain are covered by public Mutual Funds that purchase a uniform basket of benefits, equal to the ones served to the general population, from private companies. Companies apply as private bidders for a fixed per capita premium hardly adjusted by age. Our hypothesis is that this premium does not cover risks, and companies have incentives for risk selection, which are more visible in high-cost patients.

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Objectives: Long-term breast cancer survivors (BCS) constitute a complex group of patients, whose number is estimated to continue rising, such that, a dedicated long-term clinical follow-up is necessary.

Materials And Methods: A dynamic time warping-based unsupervised clustering methodology is presented in this article for the identification of temporal patterns in the care trajectories of 6214 female BCS of a large longitudinal retrospective cohort of Spain. The extracted care-transition patterns are graphically represented using directed network diagrams with aggregated patient and time information.

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Article Synopsis
  • - This study evaluated how well primary care meets the needs of patients with mental illness, focusing on non-medical aspects of care as defined by the World Health Organization.
  • - Out of 426 patients surveyed, 77.4% rated the responsiveness of the health system as good, particularly valuing dignity, confidentiality, and communication, while prompt attention was highlighted as a critical area needing improvement.
  • - Factors such as low income and low education levels were linked to higher chances of poor confidentiality responsiveness, indicating that organizational changes are necessary to improve care in urban settings, especially regarding waiting times.
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