Public Health Midterms

Part 1: Pharmacoepidemiology Notes

PHARMACOEPIDEMIOLOGY

  • under Pharmacology

  • subparts:

    • Clinical Practice

    • Epidemiology

  • study of the use and effect of medicine in large number of people

  • it can be defined as the study of the therapeutic effect(s), risk and use of drugs, usually in large populations, using epidemiological methods and/or reasoning

  • study of the relationships between diseases or any other biological phenomenon and various factors which can influence their frequency, distribution and evolution

PHARMACOEPIDEMIOLOGY: BRIDGING BETWEEN PHARMACOLOGY & EPIDEMIOLOGY

  • Application of the principles of epidemiology to drug effect and drug use

  • Better assessment of risk/benefit balance for the use of any particular drug in any particular patient

CLINICAL PHARMACOLOGY vs PHARMACOEPIDEMIOLOGY

Clinical Pharmacology

  • Drug effect in individual patient

  • drug usage pattern and appropriateness of drug use in groups

Pharmacoepidemiology

  • relation between drug exposure and health outcomes in defined population


ADVERSE EFFECT

  • a noxious and unintended response to a medicine that occurs at normal therapeutic doses used in humans for prophylaxis, diagnosis, or therapy of disease, or for the modification of physiological functions.

  • the word "effect" is used interchangeably with "reaction"

Types of ADVERSE EFFECT:

Px injury caused by a medicine taken in therapeutic doses:

  • A - Augmented (Dose-related)

    • Exaggerated pharmacological response

    • pharmacodynamic (e.g., bronchospasm from beta blockers)

    • toxic (e.g. deafness from aminoglycoside overdose)

  • B - Bizarre (Non Dose Related)

    • Nonpharmacological, often allergic, response

    • medicine-induced diseases (e.g, antibiotic-associated colotis)

    • allergic reaction (e.g, penicillin anaphylaxis)

    • idiosyncratic reactions (e.g, aplastic anemia with chloramphenicol)

  • C - Chronic or Continuous (Dose Related and Time Related)

    • Osteoporosis with oral steriods

    • Paracetamol can cause hepatotoxicity

  • D - Delayed (Lag time)

    • Time-related

    • Teratogenic effects of Anticonvulsants or Lisinopril

  • E - Ending of Use (Withdrawal)

    • Withdrawal syndrome with benzodiazepines

  • F - Failure of efficacy (Unexpected/failure of therapy) (no response)

    • Resistance to antimicrobials

    • Decrease of clearance in dialysis


SIDE EFFECTS

  • any unintended effect of a pharmaceutical product occuring at normal therapeutic dose and is related to its pharmacological properties

  • such effects may be well-known and even expected and require little or no change in patient management


SERIOUS ADVERSE EFFECT

  • Β any untoward medical occurrence that occurs at any dose and results in death, requires hospital admission or prolonged hospital stay, results in persistent or significant disability or is oife threatening.

    • ex. Viagra β€” Sildenafil, originally made to cure hypertension now for erectile dysfunction


CAUSALITY

  • the probability that a particular medicine is responsible for an isolated effect of an ADR


SIGNAL

  • reported information on a possible causal relationship between and adverse event and medicine, the relationship being previously unknown or incompletely documented

  • usually more than one signal report is required to generate a signal, depending on the seriousness of the event and the quality of the information

  • Ex. Domperidone

DRUG RE-INTRODUCE

  • when drug have unique benefit and risk can be managed

  • Isotretinoin, Cancer drugs etc.

DRUG UTILIZATION REVIEW

  • Authorized, structural and continuuing program that review, analysis and interprets pattern of drug use against predetermined standards

  • DUR studies focuses on drugs:

    • To evaluate the appropriateness of the therapy using approved criteria

    • To develop program to intervene and correct deficiencies in drug use process


TYPES OF HYPOTHESIS

Most common:

  • Null - negative

    • no connection between the given variables;

    • there is no significant relationship

    • MOST OFTEN USED

      • ACCEPT OR REJECT.

    • significance level = 0.5

    • higher than 0.5 = the null hypothesis is rejected

  • Alternative

    • there is a connection between given variables

    • there is a significant relationship

Hypothesis Testing

  • Require the use of comparison group to determine whether there is a difference in variable of interest (risk factor, trait, characteristic, drug exposed, or clinical conditions)

  • Statistic methods are used to assess whether the observed difference could have occurred by chance alone

  • Conclusions about the relation b/w exposure to a drug and clinical event thus based in the ability to reject the null hypothesis, postulating that the 2 group are no difference with regard to either the drug exposure or the clinical event.


AIMS OF PHARMACOEPIDEMIOLOGY

  1. Signal Generation:

    • Most commonly associated with ADR but also use to detect new applications

    • Example:

      • Minoxidil 1st indicated for hypertension, but case report (signal generation) soon identified it causes hirsutism in a number of patients, side effect was investigated and now it is marketed for purpose mainly stimulatiin of hari growth.

  2. Risk Quantification:

    • ADR often require large sample size

Reasons to Perform Pharmacoepidemiology Studies:

A. Regulatory

  1. Required

  2. to obtain an earlier approval for marketing

  3. as a response to a question by regulatory agency

  4. to assist applications for approval for marketing elsewhere

B. Marketing

  1. To assist penetration by documenting the safety of the drug

  2. To increase name recognition

  3. To assist in repositioning the drug

    a. different outcomes (quality of life and economic)

    b. different types of patients (elderly, young)

    c. new indications

    d. less restrictive labeling

  4. To protect the drug from accusations about adverse effect

C. Legal

  1. In anticipation of future product liability litigation

D. Clinical

  1. HYPOTHESIS TESTING

    A. Problem hypothesized on the basis of drug structure

    B. Problem suspected on the basis of preclinical or premarketing human data

    C. Problem suspected on the basis of spontaneous reports

    D. Need to better quantitate the frequency of adverse reactions

  2. HYPOTHESIS GENERATING - needs to depends on:

    A. Whether it is a new chemical entity

    B. The safety profile of the class

    C. The relative safety of the drug within its class

    D. The formulation

    E. The disease to be treated, including

    • i. Duration

    • ii. Prevalence

    • iii. Severity

    • iv. Whether alternative therapies are available


APPLICATIONS OF PHARMACOEPIDEMIOLOGY

  • Estimation of risk of drug use

  • Use in patient counseling

  • Formulation of public health policy decision

  • Formulation of therapeutic guidelines and discovery of new indications

  • Facilitation of pharmaco-economic evaluation

POTENTIAL CONTRIBUTIONS OF PHARMACOEPIDEMIOLOGY
A. Information which supplements the information available from premarketing studies-better quantitation of the incidence of known adverse and beneficial effects

(a) Higher precision

(b) In patients not studied prior marketing (elderly, children, pregnant women)

(c) As modified by other drugs and other illnesses

(d) Relative to other drugs used for the same medication

B. New types of Information not available from premarketing studies

  1. Discovery of previously undetected adverse and beneficial effects

    a. Uncommon effects

    b. Delayed effects

  2. Patterns of Drug Utilization

  3. The effects of drug overdoses

  4. The economic implications of drug use

C. General contribution of pharmacoepidemiology

  1. Reassurance about drug safety

  2. Fulfillment of ethical and legal obligations

SCOPE OF PHARMACOEPIDEMIOLOGY IN DRUG REGULATION

Stage in Life Cycle

Examples of Possible Applications of Pharmacoepidemiology

DRUG DISCOVERY

Identification of potential markets through study of disease distribution and medicines utilization.

DRUG DEVELOPMENT

Estimation of potential market size, unmet medical needs, demonstration of efficacy and safety, demonstrating significant benefit.

ORPHAN DRUGS

Estimation of prevalence of disease, providing information on other treatments, demonstration of efficacy and safety, demonstrating significant benefit.

Pharmacoeconomics

Estimation of costs of therapy and benefits in economic terms to support reimbursement or inclusion in formularies.

PHARMACOEPIDEMIOLOGY IN PRACTICE

  • The basic idea of pharmacoepidemiology is to measure the source, diffusion, use, and effects of drugs in a population and to determine the frequency and distribution of drug use outcomes in that population

Focus Questions:

  1. What is being used?

    • An assessment of specific drugs being used in certain situations.

  2. How it is being used?

    • An assessment of the patterns of use, including how much, where and when, and by whom

  3. Why it is being used?

    • An assessment of the reasons for drug-taking behaviors and the functions that drugs serve in society).


WORLD HEALTH ORGANIZATION

  • Focuses its pharmacoepidemiologic efforts on ensuring the quality, safety, and efficacy of drugs and their use in specific populations

Studies are performed to:

  1. Describe current patterns of drug use in specific patient populations

  2. Determine changes in drug use over time

  3. Measure the effects of information, education, promotional activities, media accounts, and price on drug use

  4. Detect inappropriate drug use and associated problems

  5. Estimate drug needs in terms of disease patterns and outbreaks

  6. Plan the selection, supply, and distribution of drugs

RESEARCH METHODS USED BY PHARMACOEPIDEMIOLOGISTS

  • Cross-sectional study:

    • a prevalence survey of health and illness in the population at one point in time

    • Ex. Prevalence of cancer among defined population

  • Case-control study:

    • a retrospective analysis comparing subjects with the condition (cases) to those without it (controls) with respect to possible risk or causative factors

    • Ex. One researcher studies rare cancer or the Kaposi sarcoma

  • Cohort study:

    • an incidence study that follows a population free of health problems over time, examining subsequent development of problems and factors associated with them

    • Ex. Cohort study of Psoriasis and Depression, Cohort study of HIV

  • Clinical trials:

    • an experimental approach that tests the value of a new treatment or intervention compared with a standard treatment or a placebo, are also considered to be an epidemiological method


SOURCES OF DATA

  1. Institutional record systems and databases

  2. System wide databases

  3. National databases

  4. Field data

  5. Experimental data

Source of Data

Examples

Institutional record systems and databases

  • Drug utilization studies

  • Hospital-based medical audits (inpatient)

System wide databases

  • Institutionally based reviews (outpatient)

  • Health insurance groups and third-party payers

  • Pharmaceutical organizations

  • Commercial vendors of marketing studies and sales data

National databases

  • Government-sponsored studies

  • Essential drug lists and inventory data

  • Pharmacoepidemiological surveillance systems

Field data

  • Records of drug dispensers, sellers, and distributors

  • Drug-taking behaviors of individuals and small groups

Experimental data

  • Clinical trial results


PROBLEM SOLVING WITH PHARMACOEPIDEMIOLOGY

Medical drug use

  • Beneficial effects of drug therapy

  • Risks (e.g., adverse reactions, side effects) of drug therapy

  • Inappropriate prescribing behaviors

  • Patient noncompliance Irrational self-medication practices

  • Poor drug use outcomes

  • Cost-effectiveness of drug therapy

Nonmedical drug use

  • Social-recreational drug use and associated problems

  • Acute incidents of drug toxicities (e.g., overdoses)

  • Chemical dependencies

  • Outbreaks and sources of drug epidemics


HEALTH (REVIEW)

  • Health is a state of complete physical, mental and social well-being, and not merely the absence of disease or infirmity (World Health Organization, 1948)

FACTORS DETERMINING HEALTH

  • Clinical care is less important than many people think whereas socioeconomic factors and the physical environment are quite influential on health and well-being.

  • Genetic characteristics are also less significant than many people think.

  • Whether people are healthy or not, is determined by their circumstances and environment - the social, economic and environmental conditions which affect the health of the population.

PRIORITY RECOMMENDATIONS: THE GLOBAL COMMISSION

The World Health Organization's Commission on Social Determinants of Health final report (2008) contains three overarching recommendations:

  • Improve daily living conditions: the circumstances in which people are born, grow, live, work, and age

  • Tackle the inequitable distribution of power, money and resources: the structural drivers of those conditions of daily life globally, nationally, and locally

  • Measure and understand the problem and assess the impact of action: expand the knowledge base, develop a workforce that is trained in the social determinants of health, and raise public awareness about the social determinants of health

GLOBAL CHALLENGES AND HEALTH DYNAMICS

  • Globalization

  • Urbanization

  • Poverty

  • Socioeconomic inequality

  • Food insecurity

  • Environmental degradation

  • Demographic transition

GLOBALIZATION: TRADE, MIGRATION AND INDUSTRIALIZATION

  • Increases risks of global epidemics such as severe acute respiratory syndrome (SARs) and the spread of health hazards including contaminated foods and products

  • Rapid economic growth places pressure on the labor force, infrastructure and environment

URBANIZATION

  • Urbanization is the process of the population moving from rural areas to urban areas, which leads to many changes in economic, social and physical environments.

  • With rapid economic growth, urbanization can place strain on infrastructure resulting in poor living conditions and an inability to properly access social services like education and medical care.

ECONOMIC GROWTH, POVERTY AND GOVERNANCE

  • Economic growth is the most powerful instrument for reducing poverty and improving quality of life.

  • Health is traditionally viewed as an end product of the growth process. However, in the other direction, a healthy population is also a driver for economic growth

FOOD INSECURITY

  • Food security exists when all people at all times have physical, social and economic access to sufficient, safe and nutritious food to meet dietary needs and food preferences for an active and healthy life.

  • New shocks related to climate change, conflict, pests (such as locusts) and infectious diseases are hurting food production, disrupting supply chains and stressing people's ability to access nutritious and affordable food

ENVIRONMENTAL DEGRADATION

  • Conserving the earth's ecosystem on which human society depends is a precondition for economic and social development, including good health

  • Environmental factors - polluted air, built environment hazards, agricultural practices, occupational hazards, radlation, climate change, chemical exposures and inadequate water and sanitation - were associated with 12.6 million deaths (23% of deaths worldwide) in 2012.3

DEMOGRAPHIC TRANSITION

  • Demographic transition is the transition from high birth and death rates to lower birth and death rates as a country or region develops from an agricultural society to an industrialized economic system.

  • Other demographic processes undergoing change include women's fertility and increasingly older populations in the developed world


HEALTH INEQUALITY MONITORING

  1. Health equity is considered as a normative, aspirational concept, like the 'right to health'.

  2. It is measured through the measurement of health inequalities - observable differences between subgroups within a population.

  3. Health inequalities can thus be measured and monitored and serve as an indirect means of evaluating health inequity.

  4. Health inequality monitoring is undertaken to provide information for policies, programs and practices to reduce health inequity

EQUITY STRATIFIERS

  • Also called "dimensions of Inequality"

  • Health inequalities tend to stem from social inequalities

  • Equity stratifies typically reflect social conditions

  • There are several equity stratifies that are used to distinguish groups and individuals:

    • Socioeconomic status

    • Education

    • Place of residence (rural, urban etc.)

    • Race or ethnicity

    • Occupation

    • Gender

    • Religion

Part 2: Morbidity, Mortality, Prevalence (notes, formulas)

MORTALITY RATE

  • A mortality rate is the number of deaths due to a disease divided by the total population

CRUDE DEATH RATE
  • Calculated as the number of deaths in a given period divided by the population exposed to risk of death in that period

  • Crude death rate (CDR) sometimes called force of mortality is defined as the rate with which mortality occurs in a given population:

  • Factors that affect CDR;

    • age and sex composition of the population

    • adverse environmental

    • occupational

    • the peace and order conditions

SPECIFIC MORTALITY RATES

Specific Mortality Rate = (Number of deaths in a specified group in a calendar year) / (Midyear population of the same sepcified group) Γ— F

** F = 100, 1000, etc.

CAUSE-OF-DEATH RATE

Cause of Death Rate = (Number of deaths from specific cause / Midyear population) x F

** F = 100, 1000, etc.

INFANT MORTALITY RATIO

Infant Mortality Rate = (Number of deaths under 1 year old in a calendar year / Number of live births in the same year) x 100

NEONATAL MORTALITY RATE (NMR) and POSTNEONATAL MORTALITY RATE (PNMR)

MATERNAL MORTALITY RATIO
  • Maternal death: "Death of a female from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration & the site of the pregnancy".

  • A measure of obstetric risk;

  • Affected by maternal health practices, diagnostic ascertainment, and completeness of registration of births.

Maternal Mortality Ratio = (Number of maternal deaths / Number of live births) x 100

CASE FATALITY RATE (CFR)
  • Proportion of cases that end up fatally

  • Gives the risk of dying among persons afflicted with a particular disease

  • Higher for hospital cases compared to cases from the community since the hospitalized cases are usually the more severe cases of the disease

Case Fatality Rate = (Number of deaths from a specified cause / Number of cases of the same disease) x 100

MORBIDITY RATE
  • the rate at which an illness or disease occurs withing a population

  • Formula:

    Morbidity Rate = (Number of cases of a disease in a specific period / Total population during the same period)

Age/sex specific mortality rate

number of deaths in a year in a specific age/sex group


mid-year population of age or sex group

x 1000

Birth rate

number of births in a year


mid-year population

x 1000

Fertility rate

number of live births in year


mid-year population of women aged 15-44

x 1000

POINT AND PERIOD PREVALENCE

Point prevalence = [(Number of cases in a defined population at a specific point in time) / (Total population at that specific point in time)] x 1000

Period Prevalence = [(Number of new and preexisting cases during a specified time period) / (Total population at risk during the same time period)] x 1000


Example
  • There were 120 cases of typhoid fever in a small city (50000 population) at 1st Jan.2002. At the end of this year there were 30 added cases of that disease. At April of that year 60 cases (old and recently diagnosed). Calculate the point prevalence (at April, 2002) and period prevalence for the year 2002).

Solution:

Point Prevalence Rate= (60/50,000) x 1000

Point Prevalence Rate= 1.2 cases = round off = 1 cases

Point Prevalence Rate = 1 case of typhoid fever per 1000 population at Aprol 2002.

Period Prevalence Rate = [(120 + 30)/50,000] x 1000

Period Prevalence Rate = 3 cases of typhoid fever per 1000 population during 2002.