Glossary of Public Health Terms
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Descriptive Statistics (Part 2): Interpreting Study Results
Statistical Notes II Descriptive statistics (Part 2): Interpreting study results A Cook and A Sheikh he previous paper in this series looked at ‘baseline’. Investigations of treatment effects can be descriptive statistics, showing how to use and made in similar fashion by comparisons of disease T interpret fundamental measures such as the probability in treated and untreated patients. mean and standard deviation. Here we continue with descriptive statistics, looking at measures more The relative risk (RR), also sometimes known as specific to medical research. We start by defining the risk ratio, compares the risk of exposed and risk and odds, the two basic measures of disease unexposed subjects, while the odds ratio (OR) probability. Then we show how the effect of a disease compares odds. A relative risk or odds ratio greater risk factor, or a treatment, can be measured using the than one indicates an exposure to be harmful, while relative risk or the odds ratio. Finally we discuss the a value less than one indicates a protective effect. ‘number needed to treat’, a measure derived from the RR = 1.2 means exposed people are 20% more likely relative risk, which has gained popularity because of to be diseased, RR = 1.4 means 40% more likely. its clinical usefulness. Examples from the literature OR = 1.2 means that the odds of disease is 20% higher are used to illustrate important concepts. in exposed people. RISK AND ODDS Among workers at factory two (‘exposed’ workers) The probability of an individual becoming diseased the risk is 13 / 116 = 0.11, compared to an ‘unexposed’ is the risk. -
Risk Factors Associated with Maternal Age and Other Parameters in Assisted Reproductive Technologies - a Brief Review
Available online at www.pelagiaresearchlibrary.com Pelagia Research Library Advances in Applied Science Research, 2017, 8(2):15-19 ISSN : 0976-8610 CODEN (USA): AASRFC Risk Factors Associated with Maternal Age and Other Parameters in Assisted Reproductive Technologies - A Brief Review Shanza Ghafoor* and Nadia Zeeshan Department of Biochemistry and Biotechnology, University of Gujrat, Hafiz Hayat Campus, Gujrat, Punjab, Pakistan ABSTRACT Assisted reproductive technology is advancing at fast pace. Increased use of ART (Assisted reproductive technology) is due to changing living standards which involve increased educational and career demand, higher rate of infertility due to poor lifestyle and child conceivement after second marriage. This study gives an overview that how advancing age affects maternal and neonatal outcomes in ART (Assisted reproductive technology). Also it illustrates how other factor like obesity and twin pregnancies complicates the scenario. The studies find an increased rate of preterm birth .gestational hypertension, cesarean delivery chances, high density plasma, Preeclampsia and fetal death at advanced age. The study also shows the combinatorial effects of mother age with number of embryos along with number of good quality embryos which are transferred in ART (Assisted reproductive technology). In advanced age women high clinical and multiple pregnancy rate is achieved by increasing the number along with quality of embryos. Keywords: Reproductive techniques, Fertility, Lifestyle, Preterm delivery, Obesity, Infertility INTRODUCTION Assisted reproductive technology actually involves group of treatments which are used to achieve pregnancy when patients are suffering from issues like infertility or subfertility. The treatments can involve invitro fertilization [IVF], intracytoplasmic sperm injection [ICSI], embryo transfer, egg donation, sperm donation, cryopreservation, etc., [1]. -
Clarifying Questions About “Risk Factors”: Predictors Versus Explanation C
Schooling and Jones Emerg Themes Epidemiol (2018) 15:10 Emerging Themes in https://doi.org/10.1186/s12982-018-0080-z Epidemiology ANALYTIC PERSPECTIVE Open Access Clarifying questions about “risk factors”: predictors versus explanation C. Mary Schooling1,2* and Heidi E. Jones1 Abstract Background: In biomedical research much efort is thought to be wasted. Recommendations for improvement have largely focused on processes and procedures. Here, we additionally suggest less ambiguity concerning the questions addressed. Methods: We clarify the distinction between two confated concepts, prediction and explanation, both encom- passed by the term “risk factor”, and give methods and presentation appropriate for each. Results: Risk prediction studies use statistical techniques to generate contextually specifc data-driven models requiring a representative sample that identify people at risk of health conditions efciently (target populations for interventions). Risk prediction studies do not necessarily include causes (targets of intervention), but may include cheap and easy to measure surrogates or biomarkers of causes. Explanatory studies, ideally embedded within an informative model of reality, assess the role of causal factors which if targeted for interventions, are likely to improve outcomes. Predictive models allow identifcation of people or populations at elevated disease risk enabling targeting of proven interventions acting on causal factors. Explanatory models allow identifcation of causal factors to target across populations to prevent disease. Conclusion: Ensuring a clear match of question to methods and interpretation will reduce research waste due to misinterpretation. Keywords: Risk factor, Predictor, Cause, Statistical inference, Scientifc inference, Confounding, Selection bias Introduction (2) assessing causality. Tese are two fundamentally dif- Biomedical research has reached a crisis where much ferent questions, concerning two diferent concepts, i.e., research efort is thought to be wasted [1]. -
Communicable Disease Chart
COMMON INFECTIOUS ILLNESSES From birth to age 18 Disease, illness or organism Incubation period How is it spread? When is a child most contagious? When can a child return to the Report to county How to prevent spreading infection (management of conditions)*** (How long after childcare center or school? health department* contact does illness develop?) To prevent the spread of organisms associated with common infections, practice frequent hand hygiene, cover mouth and nose when coughing and sneezing, and stay up to date with immunizations. Bronchiolitis, bronchitis, Variable Contact with droplets from nose, eyes or Variable, often from the day before No restriction unless child has fever, NO common cold, croup, mouth of infected person; some viruses can symptoms begin to 5 days after onset or is too uncomfortable, fatigued ear infection, pneumonia, live on surfaces (toys, tissues, doorknobs) or ill to participate in activities sinus infection and most for several hours (center unable to accommodate sore throats (respiratory diseases child’s increased need for comfort caused by many different viruses and rest) and occasionally bacteria) Cold sore 2 days to 2 weeks Direct contact with infected lesions or oral While lesions are present When active lesions are no longer NO Avoid kissing and sharing drinks or utensils. (Herpes simplex virus) secretions (drooling, kissing, thumb sucking) present in children who do not have control of oral secretions (drooling); no exclusions for other children Conjunctivitis Variable, usually 24 to Highly contagious; -
Racial and Ethnic Disparities in Health Care, Updated 2010
RACIAL AND ETHNIC DISPARITIES IN HEALTH CARE, UPDATED 2010 American College of Physicians A Position Paper 2010 Racial and Ethnic Disparities in Health Care A Summary of a Position Paper Approved by the ACP Board of Regents, April 2010 What Are the Sources of Racial and Ethnic Disparities in Health Care? The Institute of Medicine defines disparities as “racial or ethnic differences in the quality of health care that are not due to access-related factors or clinical needs, preferences, and appropriateness of intervention.” Racial and ethnic minorities tend to receive poorer quality care compared with nonminorities, even when access-related factors, such as insurance status and income, are controlled. The sources of racial and ethnic health care disparities include differences in geography, lack of access to adequate health coverage, communication difficulties between patient and provider, cultural barriers, provider stereotyping, and lack of access to providers. In addition, disparities in the health care system contribute to the overall disparities in health status that affect racial and ethnic minorities. Why is it Important to Correct These Disparities? The problem of racial and ethnic health care disparities is highlighted in various statistics: • Minorities have less access to health care than whites. The level of uninsurance for Hispanics is 34% compared with 13% among whites. • Native Americans and Native Alaskans more often lack prenatal care in the first trimester. • Nationally, minority women are more likely to avoid a doctor’s visit due to cost. • Racial and ethnic minority Medicare beneficiaries diagnosed with dementia are 30% less likely than whites to use antidementia medications. -
Role of the Microbiology Laboratory in Infection Control
GUIDE TO INFECTION CONTROL IN THE HOSPITAL CHAPTER 3: Role of the Microbiology Laboratory in Infection Control Author Mohamed Benbachir, PhD Chapter Editor Gonzalo Bearman MD, MPH, FACP, FSHEA, FIDSA Topic Outline Key Issues Known Facts Suggested Practice Suggested Practice in Under-Resourced Settings Summary References Chapter last updated: January, 2018 KEY ISSUES The microbiology laboratory plays an important role in the surveillance, treatment, control and prevention oF nosocomial inFections. The microbiologist is a permanent and active member oF the infection control committee (ICC) and the antimicrobial stewardship group (ASG). Since most of the inFection control and antimicrobial stewardship programs rely on microbiological results, quality assurance is an important issue. KNOWN FACTS The microbiologist is a daily privileged interlocutor oF the infection control team (inFection control doctor and inFection control nurse) and the antimicrobial stewardship working group. The First task oF the microbiology laboratory is to accurately, consistently and rapidly identiFy the responsible agents to species level and identify their antimicrobial resistance patterns. Traditional microbiologic methods remain suboptimal in providing rapid identification and susceptibility testing. There is a growing need for more rapid and reliable laboratory results. Important progress made in the fields of instruments, reagents and techniques have made it easier to adapt to the important changes oF the clinical microbiology context e.g. increasing use of microbiology tests, shortage of qualiFied personnel. There is also a growing demand For quality in clinical laboratories and more and more countries are elaborating national regulations. 1 The microbiology processes are becoming increasingly more complex. InFormatics are playing an increasing role in the improvement oF these processes in terms oF workFlow, timeliness and cost. -
Different Perspectives for Assigning Weights to Determinants of Health
COUNTY HEALTH RANKINGS WORKING PAPER DIFFERENT PERSPECTIVES FOR ASSIGNING WEIGHTS TO DETERMINANTS OF HEALTH Bridget C. Booske Jessica K. Athens David A. Kindig Hyojun Park Patrick L. Remington FEBRUARY 2010 Table of Contents Summary .............................................................................................................................................................. 1 Historical Perspective ........................................................................................................................................ 2 Review of the Literature ................................................................................................................................... 4 Weighting Schemes Used by Other Rankings ............................................................................................... 5 Analytic Approach ............................................................................................................................................. 6 Pragmatic Approach .......................................................................................................................................... 8 References ........................................................................................................................................................... 9 Appendix 1: Weighting in Other Rankings .................................................................................................. 11 Appendix 2: Analysis of 2010 County Health Rankings Dataset ............................................................ -
NACCHO | 2019 National Profile of Local Health Departments
National Profile 2019 of Local Health Departments Acknowledgments Public health is at the forefront of public attention and discourse worldwide in a way that is unparalleled in modern times. COVID-19 brought the normally hidden work of public health into the limelight and has held it there with a variety of fascinating results. “Epidemiologist” is now a common word, news outlets routinely discuss the merits of population testing metrics, and for months, the nation tuned into briefings by the White House Coronavirus Task Force headed by Vice President Pence. During the pandemic, data from the National Profile of Local Health Departments (Profile) studies have been in great demand. The data have been highlighted by NACCHO and its national partners in communications to policymakers, as well as featured in newspapers, magazines, and newscasts all over the country. Profile data are an incredible source of context for the current COVID-19 pandemic response. In fact, the Profile study is the only longitudinal study of its kind focused on the infrastructure and practice of local health departments (LHDs). As such, it highlights the impact of the continued underfunding of public health around the country. As health departments tackle the largest pandemic in modern history, the workforce is strained, resources are redirected to the response, essential services are disrupted, and leaders are faced with political pressures ranging from firings to death threats. In support of LHDs, NACCHO and its funding partners at the Centers for Disease Control and Prevention (CDC) and the Robert Wood Johnson Foundation (RWJF) remain committed to providing evidence regarding the state of local public health that is objective, accurate, and useful. -
797 Circulating Tumor DNA and Circulating Tumor Cells for Cancer
Medical Policy Circulating Tumor DNA and Circulating Tumor Cells for Cancer Management (Liquid Biopsy) Table of Contents • Policy: Commercial • Coding Information • Information Pertaining to All Policies • Policy: Medicare • Description • References • Authorization Information • Policy History • Endnotes Policy Number: 797 BCBSA Reference Number: 2.04.141 Related Policies Biomarkers for the Diagnosis and Cancer Risk Assessment of Prostate Cancer, #336 Policy1 Commercial Members: Managed Care (HMO and POS), PPO, and Indemnity Plasma-based comprehensive somatic genomic profiling testing (CGP) using Guardant360® for patients with Stage IIIB/IV non-small cell lung cancer (NSCLC) is considered MEDICALLY NECESSARY when the following criteria have been met: Diagnosis: • When tissue-based CGP is infeasible (i.e., quantity not sufficient for tissue-based CGP or invasive biopsy is medically contraindicated), AND • When prior results for ALL of the following tests are not available: o EGFR single nucleotide variants (SNVs) and insertions and deletions (indels) o ALK and ROS1 rearrangements o PDL1 expression. Progression: • Patients progressing on or after chemotherapy or immunotherapy who have never been tested for EGFR SNVs and indels, and ALK and ROS1 rearrangements, and for whom tissue-based CGP is infeasible (i.e., quantity not sufficient for tissue-based CGP), OR • For patients progressing on EGFR tyrosine kinase inhibitors (TKIs). If no genetic alteration is detected by Guardant360®, or if circulating tumor DNA (ctDNA) is insufficient/not detected, tissue-based genotyping should be considered. Other plasma-based CGP tests are considered INVESTIGATIONAL. CGP and the use of circulating tumor DNA is considered INVESTIGATIONAL for all other indications. 1 The use of circulating tumor cells is considered INVESTIGATIONAL for all indications. -
Year 11 GCSE History Paper 1 – Medicine Information Booklet
Paper 1 Medicine Key topics 1 and 2 (1250-1500, 1500-1700) Year 11 GCSE History Paper 1 – Medicine Information booklet Medieval Renaissance 1250-1500 1500-1750 Enlightenment Modern 1900-present 1700-1900 Case study: WW1 1 Paper 1 Medicine Key topics 1 and 2 (1250-1500, 1500-1700) Key topic 1.1 – Causes of disease 1250-1500 At this time there were four main ideas to explain why someone might become ill. Religious reasons - The Church was very powerful at this time. People would attend church 2/3 times a week and nuns and monks would care for people if they became ill. The Church told people that the Devil could infect people with disease and the only way to get better was to pray to God. The Church also told people that God could give you a disease to test your faith in him or sometimes send a great plague to punish people for their sins. People had so much belief in the Church no-one questioned the power of the Church and many people had believed this explanation of illness for over 1,000 years. Astrology -After so many people in Britain died during the Black Death (1348-49) people began to look for new ways to explain why they became sick. At this time doctors were called physicians. They would check someone’s urine and judge if you were ill based on its colour. They also believed they could work out why disease you had by looking at where the planets were when you were born. -
Early History of Infectious Disease
© Jones and Bartlett Publishers. NOT FOR SALE OR DISTRIBUTION CHAPTER ONE EARLY HISTORY OF INFECTIOUS 1 DISEASE Kenrad E. Nelson, Carolyn F. Williams Epidemics of infectious diseases have been documented throughout history. In ancient Greece and Egypt accounts describe epidemics of smallpox, leprosy, tuberculosis, meningococcal infections, and diphtheria.1 The morbidity and mortality of infectious diseases profoundly shaped politics, commerce, and culture. In epidemics, none were spared. Smallpox likely disfigured and killed Ramses V in 1157 BCE, although his mummy has a significant head wound as well.2 At times political upheavals exasperated the spread of disease. The Spartan wars caused massive dislocation of Greeks into Athens triggering the Athens epidemic of 430–427 BCE that killed up to one half of the population of ancient Athens.3 Thucydides’ vivid descriptions of this epidemic make clear its political and cultural impact, as well as the clinical details of the epidemic.4 Several modern epidemiologists have hypothesized on the causative agent. Langmuir et al.,5 favor a combined influenza and toxin-producing staphylococcus epidemic, while Morrens and Chu suggest Rift Valley Fever.6 A third researcher, Holladay believes the agent no longer exists.7 From the earliest times, man has sought to understand the natural forces and risk factors affecting the patterns of illness and death in society. These theories have evolved as our understanding of the natural world has advanced, sometimes slowly, sometimes, when there are profound break- throughs, with incredible speed. Remarkably, advances in knowledge and changes in theory have not always proceeded in synchrony. Although wrong theories or knowledge have hindered advances in understanding, there are also examples of great creativity when scientists have successfully pursued their theories beyond the knowledge of the time. -
What the Public Thinks About Menatl Health and Mental Illness
What the Public Thinks about Mental Health and ~entaleI1lness A paper presented by Shirley A. Star, Senior Study Director National Opinion Research Center, University of Chicago to the Annual Meeting The National Association for Mental Health, Inc. November 19, 1952 For the past two and a half years, the National Opinion Research Center has been engaged upon a pioneering study of the-American public's thinking in the field of mental health, under the joint sponsorship of the National Association for Mental Health and the National Institute of Mental Health, It is a vast and ambitious project, and I'm afraid that the title which has been assigned to my remarks about .the study is going to prove to be misleading in at least two ways. In the first place, and this must be obvious, both the title given me and the scope of the study cover Ear more ground than I could possibly present in the course of one afternoon. About all I can do today is hit a few of the high spots in public thinking and emphasize beforehand that the study aims to be inclusive. You can pretty well assume that it contains some information on just about any question in the area you might raise, even though I don't refer to many of them. So, as they say in the more enterprising shops--"If you don't see what you want, ask for it," In the second place, and this is more serious, I am in the em- barrassing position of having to stand here this afternoon and honestly- -2- admit that I don1t -know what the public thinks as yet.