Related Experiment Video
Updated: Feb 15, 2026

14:39
Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma
Published on: November 4, 2010
32.6K
Understanding Severe Maternal Morbidity: Hospital-based Review
1Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Clinical Obstetrics and Gynecology
|January 16, 2018
Summary
Severe maternal morbidity (SMM) is increasing and preventable. This review outlines steps for multidisciplinary committees to analyze SMM cases, identify improvement opportunities, and implement changes to enhance maternal outcomes.
Area of Science:
- Obstetrics and Gynecology
- Public Health
- Healthcare Quality Improvement
Background:
- Severe maternal morbidity (SMM) cases are rising and share preventability with maternal deaths.
- Standardized review processes are crucial for understanding and mitigating SMM.
Purpose of the Study:
- To detail a systematic approach for organizing and implementing reviews of all severe maternal morbidity cases.
- To provide a framework for identifying opportunities to improve outcomes in SMM events.
Main Methods:
- Establish a multidisciplinary SMM review committee.
- Identify and confirm true SMM cases.
- Abstract and summarize case data for committee review.
- Determine contributing factors (provider, system, patient) and recommend improvements.
Main Results:
- The proposed methodology enables a comprehensive review of SMM cases.
- Identifies specific events and factors leading to severe maternal morbidity.
- Facilitates the development of targeted recommendations for care improvement.
Conclusions:
- Implementing standardized SMM case reviews is essential for reducing morbidity.
- Systematic analysis allows for the identification of actionable opportunities to improve patient safety and outcomes.
- Continuous evaluation and quality improvement are key to addressing the rising rates of severe maternal morbidity.
Related Concept Videos
Hospitals-II
1.2K
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
Nurses that work in...
1.2K
Hospitals-I
1.7K
Hospitals offer medical and surgical care to the sick and injured, along with accommodation while they recover. At the same time, they also provide outpatient, emergency, psychiatric, and rehabilitation services to meet various community needs. In addition to providing medical care, hospitals also act as hubs for medical research and training. Hospitals use clinical procedures and evidence-based practice standards to deliver patient care. To deliver safe and efficient care, a nurse must stay up...
1.7K
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Understanding the Self
334
The self is a central aspect of human identity, encompassing an individual’s beliefs, emotions, perceptions, and experiences. It is a cognitive and psychological construct that enables individuals to interpret their traits and behaviors, influencing how they perceive themselves and interact with the world. While personality consists of stable and enduring characteristics, the self is shaped by self-perception and social experiences. This distinction highlights the dynamic nature of the...
334
Understanding Self-Concept
314
The self-concept encompasses individuals' beliefs about themselves, structured through cognitive frameworks known as self-schemas. These schemas function as mental representations of specific traits or behaviors, influencing how self-relevant information is perceived, processed, and remembered. For example, individuals who are schematic for body weight are more likely to interpret routine experiences—such as dining out or shopping—through the lens of that trait. Conversely, those...
314

