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Related Concept Videos

Drug Dosing: Geriatric Patients01:15

Drug Dosing: Geriatric Patients

Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion01:18

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion

In geriatric patients, renal physiology undergoes significant changes, including diminished renal blood flow and a lower glomerular filtration rate (GFR), leading to alterations in medication clearance. Drugs such as aminoglycoside antibiotics, lithium, and digoxin, which rely on glomerular filtration for removal from the body, particularly impact pharmacokinetics. These drugs tend to have slower clearance rates in older adults, necessitating careful dosage considerations.Evaluation of renal...
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption01:22

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption

As individuals age, their body's physiology evolves, affecting drug pharmacokinetics. The most apparent changes occur in the gastrointestinal tract, where an increase in gastric pH, a delay in gastric emptying, and a reduction in gastrointestinal motility are observed. Remarkably, these changes do not substantially modify the absorption of orally administered drugs, particularly those absorbed via passive diffusion.Transdermal drug delivery emerges as a highly viable method for older adults due...
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism01:18

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism

Geriatric patients show significant variation in how their bodies process medications, which can change how effective and safe treatments are. The liver is the primary organ where drug metabolism occurs, involving two main types of chemical reactions: phase I and II. Phase I metabolism is driven by the cytochrome P450 enzyme system, which includes key types such as CYP3A, CYP2D6, and CYP2C9. Research indicates that while aging doesn't notably alter the levels or activity of these enzymes, it...
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution01:00

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution

Drug distribution in the human body is influenced by several factors, including plasma protein concentration, body composition, blood flow, tissue-protein concentration, and tissue fluid pH. Among these, changes in plasma protein concentration and body composition due to aging significantly affect how drugs are distributed within the body. Specifically, aging is associated with a decrease in albumin levels by about 10% and an increase in α1-acid glycoprotein levels. These alterations are not...

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Updated: May 28, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
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A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Coding Geriatric syndromes: How good are we?

Ike Ugboma1, Holly E Syddall, Vanessa Cox

  • 1Medicine for Older People, Southampton University Hospitals NHS Trust.

CME Journal. Geriatric Medicine
|October 18, 2011
PubMed
Summary
This summary is machine-generated.

Hospital coding quality for frail older adults is poor for geriatric syndromes. This study highlights a significant gap in capturing these conditions compared to medical conditions, suggesting a need for improved documentation methods.

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Last Updated: May 28, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
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Published on: February 13, 2020

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Geriatric Medicine
  • Health Informatics
  • Medical Record Analysis

Background:

  • Accurate hospital coding is crucial for resource allocation and performance measurement.
  • Limited data exists on the coding quality for hospital admissions of frail older adults, who often present with complex health needs.
  • Frail older patients frequently have multiple diagnoses, co-morbidities, and functional impairments, complicating accurate coding.

Purpose of the Study:

  • To evaluate the quality of hospital coding for geriatric syndromes and medical conditions in frail older patients.
  • To compare the capture rates of geriatric syndromes versus medical conditions in discharge summaries and hospital coding.
  • To identify potential improvements in the documentation and coding process for this vulnerable population.

Main Methods:

  • A case note review (CNR) was conducted to identify the presence or absence of four geriatric syndromes and eight medical conditions.
  • Discharge summaries (DS) and hospital coding (HC) data were reviewed and compared against the CNR findings.
  • Statistical analysis was used to compare the capture rates of geriatric syndromes and medical conditions by hospital coding.

Main Results:

  • Of patients with at least one geriatric syndrome noted in the discharge summary, only 40.0% were captured by hospital coding.
  • In contrast, 91.2% of patients with at least one medical condition noted in the discharge summary were captured by hospital coding (p<0.0001).
  • This demonstrates a significantly poorer capture rate for geriatric syndromes compared to medical conditions.

Conclusions:

  • There is a notable deficiency in capturing information on geriatric syndromes in discharge summaries and subsequent hospital coding for frail older adults.
  • The findings suggest that current documentation and coding practices inadequately represent the complexity of geriatric care.
  • A problem list bookmark approach is proposed as a potential strategy to enhance the capture of geriatric syndromes and improve overall coding accuracy.