Revision resource and slides Flashcards
What are the advantages to case-control studies?
-Good for rare outcomes
-Quicker than cohort or intervention studies (as the outcome has already happened)
-can investigate multiple exposures
What are the disadvantages to case-control studies?
-Difficult finding controls to match with cases
-Prone to selection and information bias
What are the advantages to cohort studies?
-Can follow-up a group with a rare exposure (e.g. natural disaster)
-Good for common and multiple outcomes
-Less risk of selection and recall bias
-Can determine incidence
- Shows temporality of relationship
- Can establish cause and effect
What are the disadvantages to cohort studies?
-Takes a long time
-Loss to follow up (people drop out)
-Need a large sample size
What are the advantages of cross-sectional studies?
-Relatively quick and cheap
-Provide data on prevalence at a single point in time
-Large sample size
-Good for surveillance and public health planning
What are the disadvantages of cross-sectional studies?
-Risk of reverse causality (don’t know whether the outcome or the exposure came first)
-Cannot measure incidence
-Risk recall bias and non-response
What are the advantages of randomised controlled trials?
-Low risk of bias and confounding
-Can infer causality (gold standard)
What are the disadvantages of randomised controlled trials?
-Time consuming
-Expensive
-Specific inclusion/exclusion criteria may mean the study population is different from typical patients (e.g. excluding very elderly people)
Why might a research study find an association between an exposure and an outcome?
-Chance
-Bias
-Confounding
-Reverse causality
-A true causal association
What is selection bias and what are the types?
A systemic error in the selection of study participants or the allocation of participants to different study groups
1. Non-response (eg don’t respond to postal surveys if ill, elderly or from lower socioeconomic group?)
2. Loss to follow up (eg those receiving intervention may be more likely to drop out of the study because they feel better/worse/suffer side effects)
3. Those in the intervention/cases group may differ in some way from the controls other than by the exposure in question
What are the types of information bias?
- Measurement (eg different equipment)
- Observer (eg researcher knows cases from controls and may subconsciously report outcomes or exposures differently)
- Recall (eg events that happened in the past are not remembered and reported accurately)
- Reporting (Respondents report inaccurate information because they are embarrassed or feel judged)
What is publication bias?
Bias produced because not all trial results are published. Drug trials with unfavourable results are less likely to be published.
What is confounding?
A situation in which the estimate between an exposure and an outcome is distorted because of the association of the exposure with another factor (confounder) that is also independently associated with the outcome.
What is reverse causality?
The situation where an association between an exposure and an outcome could be due to the outcome causing the exposure rather than the exposure causing the outcome.
What are the elements to the Bradford-Hill criteria for causality?
- Strength: Stronger association between the exposure and the outcome. E.g. Heavy alcohol consumption is associated with a ten times greater odds of laryngeal
cancer. - Consistency: Same result observed from various studies and in different geographical settings. E.g. The association between cigarette smoking and cardiovascular disease has been observed in many cohort and case-control studies over 30 years in different populations.
- Dose-response: Increased risk of outcome with increased exposure. E.g. Heavy smoking is associated with an increased risk of lung cancer compared to
moderate smoking (which is in turn associated with greater risk than light smoking) - Temporality: Exposure occurs prior to outcome. E.g. A cohort initially exposed to nuclear radiation is subsequently more likely to develop cancer
* Not easy in case-control and cross-sectional studies because exposure and outcome measured simultaneously - Plausibility: Reasonable biological mechanism- Depends on existing knowledge
- Reversibility: Intervention to reduce/remove exposure eliminates/reduces outcome. E.g. Randomised intervention trials of vitamin D supplementation in the elderly found it improves muscle strength and function, supporting evidence that vitamin D deficiency can cause muscle weakness
- Coherence: Logical consistency with other information. E.g. The increase in smoking habits and incidence of lung cancer over time is consistent with laboratory evidence that cigarette smoke is a risk factor for cancer in animals
- Analogy: Similarity with other established cause-effect relationships. E.g. Previous research concluding that thalidomide in pregnancy causes birth defects supports new, weaker evidence of a similar drug causing similar effects
- Specificity: Relationship specific to outcome of interest. E.g. After introducing bike helmets is there a reduction in head injuries greater than any background reduction in cycling injuries more generally?
What is screening?
The purpose of screening is to identify apparently well individuals who have (or are at risk of developing) a particular disease so that you can have a real impact on the outcome.
What are the disadvantages of screening?
-Exposure of well individuals to distressing or harmful diagnostic tests
eg/ colonoscopies for those with positive faecal occult blood tests
-Detection and treatment of sub-clinical disease that would never have caused any problems
eg/ non-aggressive prostate cancer in elderly men
-Preventive interventions that may cause harm to the individual or population
eg/ the potential for increased antibiotic resistance if all mothers were screened for group B streptococcus in pregnancy
What are sensitivity, specificity, PPV and NPV?
Sensitivity =The proportion of those with the disease who are correctly identified by the test (picks up those with disease)
Specificity = The proportion of those without the disease who are correctly excluded by the screening test (picks up those without disease)
PPV = The proportion of people with a positive test result who actually have the disease (higher if the prevalence is higher)
NPV = The proportion of people with a negative test result who do not have the disease (lower if the prevalence is higher)
How are sensitivity, specificity calculated?
Sensitivity = Number of people who have the disease and a positive screening test (true positive) divided by the total number that have the disease (with either a positive or negative screening test, so true positives + false negatives)
Specificity = Number of people who don’t have the disease with a negative screening test (true negatives) divided by the total number that don’t have the disease (with either a positive or negative screening test, so true negatives + false positives)
How are PPV and NPV calculated?
PPV = Number of people who have the disease and a positive screening test (true positives) divided by all of those with a positive screening test (true positives + false positives)
NPV = Number of people who do not have the disease and have a negative screening test (true negatives) divided by all of those with a negative screening test (true negatives + false negatives)
What are the 14 criteria for a screening test?
The Condition
1. The condition should be an important health problem.
2. The epidemiology and natural history of the condition, including development
from latent to declared disease, should be adequately understood and there
should be a detectable risk factor, disease marker, latent period or early
symptomatic stage.
3. All the cost-effective primary prevention interventions should have been
implemented as far as practicable.
4. If the carriers of a mutation are identified as a result of screening, the natural
history of people with this status should be understood, including the
psychological implications.
5. Screening should be ongoing and not just performed on a ‘one-off’ basis.
6. The costs of screening should be economically balanced in relation to healthcare
spending as a whole.
The Test
7. There should be a simple, safe, precise and validated screening test.
8. The distribution of test values in the target population should be known and a suitable cut-off
level defined and agreed.
9. The test should be acceptable to the population.
10. There should be an agreed policy on the further diagnostic investigation of individuals with a
positive test result and on the choices available to those individuals.
11. If the test is for mutations the criteria used to select the subset of mutations to be covered by
screening, if all possible mutations are not being tested, should be clearly set out.
The Treatment
12. There should be an effective treatment or intervention for patients identified through early
detection, with evidence of early treatment leading to better outcomes than late treatment.
13. There should be agreed evidence based policies covering which individuals should be offered
treatment and the appropriate treatment to be offered.
14. Clinical management of the condition and patient outcomes should be optimised in all health
care providers prior to participation in a screening programme.
What is lead-time bias?
When screening identifies an outcome earlier than it would otherwise have been identified this results in an apparent increase in survival time, even if screening has no effect on outcome.
This raises the question as to whether it is beneficial to identify diseases early in cases where this will result in patients spending longer in the knowledge that they have the disease but does not improve our ability to treat it.
What is length time bias?
Type of bias resulting from differences in the length of time
taken for a condition to progress to severe effects, that may
affect the apparent efficacy of a screening method eg a disease that progresses more slowly is more likely to be picked up by screening
What are the three approaches to a health needs assessment?
- Epidemiological approach
- Corporate approach
- Comparative approach
What are the features of a health needs assessment by epidemiological approach?
Uses:
- Disease incidence & prevalence
- Morbidity & mortality
- Life expectancy
- Services available (location, cost, utilisation, effectiveness etc)
- Sources of data: disease registry, hospital admissions, GP databases,
mortality data, primary data collection (e.g. postal/patient survey)
Can split into:
1. Person - who are the affected people in terms of age, gender, occupation, socioeconomic group?
2. Place - where are they when they get diseases, and do prevalence and incidence vary geographically?
3. Time - When do people get diseases? Does it vary by season, cycles?
What are the sources of data for a health needs assessment by epidemiological approach?
- Routine Information Sources
- Population and census data
Including measures of deprivation
- Mortality data
National registration of deaths, Perinatal/infant mortality “rates”, Direct and indirect standardisation
- Morbidity data
Local/national registries, Primary care data. Prescribing data
- Health Care
Hospital activity data
and/or
- Survey Data
Cross sectional or longitudinal
- Needs a clear aim
Case definition and population at risk
- Staff and resources needed
- Sample size
Precision v resources
- Representativeness
- Valid, reliable instrument
What are the advantages and disadvantages of a health needs assessment by epidemiological approach?
Advantages
- Uses existing data
- Provides data on disease
- Incidence/mortality/morbidity etc
- Can evaluate services by trends over time
Disadvantages
- Reliant on Quality and availability of data variable
- Data collected may not be the data required
- Does not consider the felt needs or
opinions/experiences of the people affected and can reinforce a biomedical model
What are the features of a health needs assessment by corporate approach?
- Ask the local population what their health needs are
- Use focus groups, interviews, public meetings etc
- Wide variety of stakeholders: e.g. teachers, healthcare
professionals, social workers, charity workers, local
businesses, council workers, politicians
What are the advantages and disadvantages of a health needs assessment by corporate approach?
Advantages
- Based on the felt and expressed needs of the population in question
- Recognises the detailed knowledge and experience of those working with the population
- Takes into account wide range of views
Disadvantages:
- Difficult to distinguish ‘need’ from ‘demand’
- Groups may have vested interests
- May be influenced by political agendas
What are the features of a health needs assessment by comparative approach?
- Compare the health or healthcare provision of one population to
another - Spatial (e.g. different towns) or social (e.g. age, social class)
- Can compare health, service provision/utilisation, health
outcomes - Means of evaluating variation in performance/costs of services
What are the advantages and disadvantages of a health needs assessment by comparative approach?
Advantages
- Quick and cheap if data available
- Indicates whether health or services provision is better/worse than comparable areas (gives a
measure of relative performance)
Disadvantages
- May be difficult to find comparable population
- Data may not be available/high quality
- May not yield what the most appropriate level (e.g. of provision or utilisation) should be
- Link between usage rates and health outcomes may be hard to demonstrate
- May be comparing 2 poor quality services
What are the main determinants of health?
- Environment
- Physical, social and economic
- Genes
- Lifestyle
- Healthcare access