Characteristics of Medical Professional Liability Claims in Pediatric Orthopedics

Jessica Burns, M Wade Shrader1, Carla Boan2

  • 1Department of Orthopedics, Alfred I Dupont Hospital for Children, Wilmington, Delaware.

Abstract

Insights

Medical malpractice claims in pediatric orthopedics are more costly than in adult orthopedics. Understanding these medical professional liability (MPL) claims can improve patient safety and reduce future claims.

Area of Science:

  • Medical Law
  • Epidemiology
  • Orthopedic Surgery

Background:

  • Medical malpractice claims pose a significant financial burden on the U.S. healthcare system.
  • Understanding trends in medical professional liability (MPL) is crucial for improving patient safety and care quality.

Purpose of the Study:

  • To conduct an epidemiological analysis of closed MPL claims in pediatric orthopedics.
  • To compare pediatric orthopedic claims with those in adult orthopedics.

Main Methods:

  • Retrospective review of 2,671 closed MPL claims in pediatric orthopedics (patients <18 years) from 1985-2013.
  • Analysis of error categories, claim outcomes, procedures, injury severity, and associated costs.
  • Data adjusted for inflation and trended over the 29-year period.

Main Results:

  • Pediatric orthopedic claims had a higher average indemnity payment ($317,574) compared to all orthopedic claims ($268,817).
  • The paid-to-close ratio for pediatric orthopedic claims (33.0%) was significantly higher than for all orthopedic claims (28.7%).

Conclusions:

  • Pediatric orthopedic malpractice claims are more likely to result in payment and incur higher costs than adult orthopedic claims.
  • Insights from liability claims analysis can guide surgeons in enhancing patient safety and reducing malpractice incidence.

Related Concept Videos

Professional Values01:29

Professional Values

Nurses are responsible for caring for patients during birth, death, illness, and healing. Professional values guide the decisions and actions that nurses make in their careers. If nurses know the decisions and actions to take, providing patients with exceptional care is possible.
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
10.8K
The Professional Nurse01:22

The Professional Nurse

Professional nurses are not limited to bedside care and are taking roles of greater responsibility. A nurse should have a knowledge-based practice, including personal, theoretical, procedural, cultural, and reflexive knowledge. Additionally, nurses must be competent in cognitive, technical, interpersonal, and ethical/legal skills. Some of the best attributes of successful nurses include the following:
Communication skills: These are critical characteristics, especially speaking and listening.
6.7K
Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.3K
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
4.0K
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
3.0K
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
6.3K