Low Functional health literacy is a problem affecting 90 million residents of the United States. Among the 90 million, 36% are adults who have “below basic” health literacy skills. Assessing health literacy is important in improving health behaviors, health outcomes, and perceived communication barriers related to health. The Patient Protection and Affordable Care Act enacted in 2010 brought about changes that demand a more coordinated approach to manage health care services. This research focused on the efforts being made to promote health literacy at Medicaid health homes such as Greater Buffalo United Accountable Healthcare Network (GBUAHN). This research consisted of observation of Patient Health Navigator interactions with patients in order to identify best practices of health literacy initiatives within GBUAHN. Results suggest best practices include promoting and establishing relationship to effectively enhance patients understanding of all their healthcare needs. This study suggests that GBUAHN should continue making use of recommendations related health literacy promotion while exploring areas of improvement as noted on scorecard. Patient Health Navigators are engaging patient in manner that will establish adherence within patients.
Observingthedistributionofdiseaseorhealth related events in human population.
• Identify the characteristics with which the disease is associated.
• Basically 3 questions are asked who, when and where.
• Who means the person affected, where means the place and when is the time distribution.
Periodontal disease is a widely prevalent disease worldwide which often gets unnoticed or it often ignored due to its slowly progressive nature. It is of concern since it can cause irrepairable damage to tooth supporting structures if not early diagnosed or treated.
Research is the continued search for truth using the scientific method. This presentation covers the research process, sampling, methods of data collection, normal curve, measures of central tendency, dispersion and the levels of evidence
Low Functional health literacy is a problem affecting 90 million residents of the United States. Among the 90 million, 36% are adults who have “below basic” health literacy skills. Assessing health literacy is important in improving health behaviors, health outcomes, and perceived communication barriers related to health. The Patient Protection and Affordable Care Act enacted in 2010 brought about changes that demand a more coordinated approach to manage health care services. This research focused on the efforts being made to promote health literacy at Medicaid health homes such as Greater Buffalo United Accountable Healthcare Network (GBUAHN). This research consisted of observation of Patient Health Navigator interactions with patients in order to identify best practices of health literacy initiatives within GBUAHN. Results suggest best practices include promoting and establishing relationship to effectively enhance patients understanding of all their healthcare needs. This study suggests that GBUAHN should continue making use of recommendations related health literacy promotion while exploring areas of improvement as noted on scorecard. Patient Health Navigators are engaging patient in manner that will establish adherence within patients.
Observingthedistributionofdiseaseorhealth related events in human population.
• Identify the characteristics with which the disease is associated.
• Basically 3 questions are asked who, when and where.
• Who means the person affected, where means the place and when is the time distribution.
Periodontal disease is a widely prevalent disease worldwide which often gets unnoticed or it often ignored due to its slowly progressive nature. It is of concern since it can cause irrepairable damage to tooth supporting structures if not early diagnosed or treated.
Research is the continued search for truth using the scientific method. This presentation covers the research process, sampling, methods of data collection, normal curve, measures of central tendency, dispersion and the levels of evidence
A very important aspect in determining and studying disease is the knowledge of surveys. Its designs, methods etc. This elaborative presentation gives a detailed insight to the survey procedures used in dentistry. Special section on the WHO oral assessment proforma.
Use of Biostatics in Dentistry /certified fixed orthodontic courses by Indian...Indian dental academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Indian dental academy provides dental crown & Bridge,rotary endodontics,fixed orthodontics,
Dental implants courses.for details pls visit www.indiandentalacademy.com ,or call
0091-9248678078
ICU Patient Deterioration Prediction : A Data-Mining Approachcsandit
A huge amount of medical data is generated every da
y, which presents a challenge in analysing
these data. The obvious solution to this challenge
is to reduce the amount of data without
information loss. Dimension reduction is considered
the most popular approach for reducing
data size and also to reduce noise and redundancies
in data. In this paper, we investigate the
effect of feature selection in improving the predic
tion of patient deterioration in ICUs. We
consider lab tests as features. Thus, choosing a su
bset of features would mean choosing the
most important lab tests to perform. If the number
of tests can be reduced by identifying the
most important tests, then we could also identify t
he redundant tests. By omitting the redundant
tests, observation time could be reduced and early
treatment could be provided to avoid the risk.
Additionally, unnecessary monetary cost would be av
oided. Our approach uses state-of-the-art
feature selection for predicting ICU patient deteri
oration using the medical lab results. We
apply our technique on the publicly available MIMIC
-II database and show the effectiveness of
the feature selection. We also provide a detailed a
nalysis of the best features identified by our
approach.
ICU PATIENT DETERIORATION PREDICTION: A DATA-MINING APPROACHcscpconf
A huge amount of medical data is generated every day, which presents a challenge in analysing
these data. The obvious solution to this challenge is to reduce the amount of data without
information loss. Dimension reduction is considered the most popular approach for reducing
data size and also to reduce noise and redundancies in data. In this paper, we investigate the
effect of feature selection in improving the prediction of patient deterioration in ICUs. We
consider lab tests as features. Thus, choosing a subset of features would mean choosing the
most important lab tests to perform. If the number of tests can be reduced by identifying the
most important tests, then we could also identify the redundant tests. By omitting the redundant
tests, observation time could be reduced and early treatment could be provided to avoid the risk.
Additionally, unnecessary monetary cost would be avoided. Our approach uses state-of-the-art
feature selection for predicting ICU patient deterioration using the medical lab results. We
apply our technique on the publicly available MIMIC-II database and show the effectiveness of
the feature selection. We also provide a detailed analysis of the best features identified by our
approach.
What is sampling?
Sampling is the act, process, or technique of selecting a suitable sample, or a representative part of a population for the purpose of determining parameters or characteristics of the whole population.
Characteristics of a good sample
-True representative
-Free from bias
-Accurate
-Comprehensive
-Approachable
-Good size
-Feasible
-Goal orientation
-Practical and economical
Sampling Error
A sampling error is a statistical error that occurs when an analyst does not select a sample that represents the entire population of data and the results found in the sample do not represent the results that would be obtained from the entire population.
and many more things about the sampling technique.
This is a PowerPoint prepared to teach the students of BA Economics about methods of data collection. This will help students prepare for their presentations during their tenure of study. You can easily attain good command if you read all the basics in this presentation.
periodontal indices, gingival index, plaque index, community periodontal index of treatment needs, periodontal disease index scoring criteria, gingival crevice
dental indices and indices of dental caries assessment
decayed missing filled index, root caries index, caries severity classification scale, uses and properties of an ideal index
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
2. STATISTICS
COLLECTING
PRESENTING
INTERPRETING
A SET OF DADT (ANY TYPE OF DATD)
BIOSTATISTICS
COLLECTING
PRESENTING
INTERPRETING
A SET OF DATA THAT IS GENERATED IN CLINICAL MEDICINE,
BIOLOGY, PUBLIC HEALTH & OTHER HEALTH SCIENCES
INTRODUCTION
3. 1. To assess the state of oral health by define and quantifying
the diseases in the community.
2. To determine the availability and utilization of dental care
facilities.
3. To indicate the basic factors and causation of oral diseases.
4. To plan oral health measures.
5. To determine success or failure of specific oral health care
program.
6. For comparison and researches.
USES OF STATISTICS IN DENTISTRY
4. Constant data
Never change
e.g. number of body
parts
days of the week
not useful in statistics
variable data
changing continuously
e.g. temperature, age
height, weight
greater value in
statistics
IN GENERAL THERE IS 2 TYPES OF
DATA
5. QUANTITATIVE
Also called numerical data,
it is information about
quantities ,that is can be
measured and written down
with numbers
Examples: height, no. of
people in household, no. of
cigarettes smoked per day
QUALITATIVE
Is information about
qualities, information that
can not actually be
measured in numbers.
It’s a categorical
measurement expressed by
categories
Examples: gender race
religion, color of eye.
VARIABLE DATA
ATTRIBUTE THAT DESCRIBES PERSON, PLACE, THING, OR
PHENOMENON WHICH CAN TAKE DIFFERENT VALUES
6. nominal
If there is no natural
order between
categories
Examples: eye color
Blue, green, brown
Blood group
A, B, AB, O
ordinal
If an ordering exists
Examples: exam results
Excellent, very good
good
Socio-economic status
Low, middle, high
QUALITATIVE DATA
CLASSIFIED IN TO
7. In general talking there are 2 types of data collection
1. Either by survey
2. Or by record.
In survey data collection method it is either
1. Comprehensive way (CENSUS STUDY)
2. Or sampling survey
METHODS OF DATA COLLECTION
8. Studying all members of a population is difficult because it’s
time and money consuming.
But the measurements made may be better and several types
of biases can be avoided.
If sampling has been drawn it needs to be representative of
the population from which it is drawn and with an adequate
size.
The actual sample selection can be accomplished in two basic
ways:
1. PURPOSIVE SELECTION. (researcher choose specific people)
2. RANDOM SELECTION.
TECHNIQUES OF SAMPLING
9. Since complete enumeration of the population is not feasible,
here a sample of unites is selected in such a way that all the
characteristics of the population is reflected in the sample
Sampling designs
Simple random sampling
Systematic random sampling
Stratified sampling
Cluster sampling
Multiphase sampling
THE MOST COMMON SAMPLING
DESIGNS
14. THE SAMPLING ERRORS: the error that arises in a data
collection process as a result of taking a sample from a
population because of:
1. Errors in sampling design.
2. The sample size is small.
THE NON SAMPLING ERRORS: the errors that arise in a
data collection process as a result of factors other than
taking a sample.
1. Coverage error: non cooperative informant
2. Observational error: interviewer’s bias
3. Processing error: errors in statistical analysis.
ERRORS OF SAMPLING
15. SAMPLE SIZE: is the number of participants in a sample.
Large sample can yield more accurate results.
If we include very few subject in a study, the result can not
be generalized to the population (not representative
sample).
If the study included more subject than required, more
individuals will be exposed to risk of intervention.
SAMPLE SIZE
