Cornerstones of epidemiology: Observational studies and routine data Flashcards

1
Q

what is the hierarchy of study design

A

Systematic reviews and meta-analyses (highest – but can still be inadequate) • Randomised Controlled Trials • Cohort studies • Case-control studies • Ecological studies • Descriptive/cross-sectional studies • Case report/series (lowest – but can still be valuable)

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2
Q

what do descriptive studies in epidemiology examine

A

the distribution of disease across various factors including population or subgroups, geographical location and time period

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3
Q

what is routine data

A

Data that are routinely collected and recorded in an ongoing systematic way, often for administrative or statutory purposes and without any specific research question in mind at the time of collection

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4
Q

types of routine data

A

Health outcome data, e.g. deaths, hospital admissions and primary care consultations or prescriptions, levels of well-being from national surveys • Exposures and health determinant data, e.g. smoking, air pollution, crime statistics • Disease prevention data, e.g. screening and immunisation uptake • Demographic data, e.g. census population counts • Geographical data, e.g. health authority boundaries, location of GP practices • Births • Deaths • Cancer registrations • Notifications of infectious diseases Terminations of pregnancy • Congenital anomalies • Hospital admissions • Community systems • GP consultation data • Prescriptions • Road Traffic Accidents

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5
Q

what are major sources or routine data in the UK

A

2001 Census.Health Survey for England. NHS Inpatient Survey on patient experience

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6
Q

what are the advantages of routine health data

A
Relatively cheap 
Already collected and available 
Standardised collection procedures 
Relatively comprehensive – population coverage, large numbers 
Wide range of recorded items 
Available for past years
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7
Q

what are the disadvantages of routine health data

A
May not answer the question (no information or not enough detail) 
Incomplete ascertainment (not every case captured)  
Variable quality (e.g. variable diagnosis fields) 
Validity may be variable (i.e. do they measure what you think they measure?) 
Disease labelling may vary over time or by area 
Need careful interpretation
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8
Q

define Standardized Mortality Ratio (SMR)

A

it is aratiobetween the observed number of deaths in an study population and the number of deaths would be expected (accounting for age and often sex)

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9
Q

SMR =

A

No of observed death/ No. of expected death if experienced the same age specific rates as standard population

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10
Q

define Age Standardised Death Rates

A

Measuring how many people die each year and why they have died is one of the most important means of assessingthe effectiveness of a country’s health system.

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