Related Experiment Video
Updated: Feb 5, 2026

05:19
Author Spotlight: Unraveling the Molecular Mechanisms in PCO and Fibrosis Following Cataract Surgery
Published on: December 1, 2023
1.7K
Toward a Consensus on Centralization in Surgery
René Vonlanthen1, Peter Lodge2, Jeffrey S Barkun3
1Department of Surgery and Transplantation, University Hospital of Zurich, Zurich, Switzerland.
Annals of Surgery
|September 1, 2018
Summary
Centralizing specialized surgeries improves care quality and reduces costs, but requires multidisciplinary teams and robust monitoring, not just procedure minimums. Effective strategies must balance patient outcomes with healthcare system needs.
Area of Science:
- Health Policy Analysis
- Surgical Outcomes Research
- Healthcare Management
Background:
- Nations face pressure to balance high-quality medicine with cost-effectiveness.
- Existing healthcare policies often fail to integrate provider, payer, societal, and patient perspectives.
- Centralization of specialized surgical services is a common strategy with varying implementation and outcomes.
Purpose of the Study:
- To critically evaluate centralization policies for highly specialized surgeries in Europe and North America.
- To analyze the impact of centralization strategies on patient outcomes, medical education, and costs.
- To propose continent-wide recommendations for effective centralization of surgical care.
Main Methods:
- Analysis of healthcare policies for surgical centralization across different countries.
- Assessment of the effects of centralization on patient outcomes, training, and economic factors.
- Review of existing literature and data on surgical centralization strategies.
Main Results:
- Centralization of complex procedures in specialized centers generally improves care quality and reduces costs.
- Lack of consensus on minimum procedure numbers per center/surgeon leads to inconsistent policy implementation.
- Lower procedural thresholds can result in inappropriate indication expansion and strain hospital resources.
Conclusions:
- Effective centralization is needed, but market-driven approaches can harm patients and society.
- Centralization should prioritize multidisciplinary care for complex diseases with 24/7 specialist availability.
- Mandatory audited prospective databases for monitoring quality and cost are essential for successful centralization.
Related Concept Videos
The Central Dogma
139.9K
Overview
139.9K
The Central Dogma
33.9K
The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
33.9K
Measures of Central Tendency
21.2K
The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians,...
21.2K
What is Central Tendency?
17.7K
Descriptive statistics describe or summarize relevant characteristics of a sample and aid in the analysis of data of interest. When analyzing large quantities of data and developing an inference, one needs to identify a value representative of the entire data set. Characteristics such as central tendency, extreme values, range of measurements, or the most repeated value can help better understand the data.
The central tendency is the most conventionally used data characteristic. It is a...
The central tendency is the most conventionally used data characteristic. It is a...
17.7K
Trait Centrality
198
Trait centrality refers to the degree to which a particular characteristic influences the overall impression of an individual. Some traits exert a disproportionately strong impact on perception, shaping how people interpret other attributes of a person. Solomon Asch first systematically studied this phenomenon in 1946.Asch’s Experiment on Trait CentralityAsch's seminal study demonstrated the centrality of certain traits through a controlled experiment. Participants were presented with a...
198
Central Limit Theorem
20.1K
The central limit theorem, abbreviated as clt, is one of the most powerful and useful ideas in all of statistics. The central limit theorem for sample means says that if you repeatedly draw samples of a given size and calculate their means, and create a histogram of those means, then the resulting histogram will tend to have an approximate normal bell shape. In other words, as sample sizes increase, the distribution of means follows the normal distribution more closely.
The sample size, n, that...
The sample size, n, that...
20.1K

