Health Imporvment Flashcards

1
Q

What two strategies are there in the left shift?

A
  • population strategy (entire population approach but many individuals not helped)
  • high risk strategy (high risk score people targeted and helped)

Usually use both

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2
Q

What is population level health improvement

A

Physical and mental health

Improving the health of an entire population
Within/ across defined local, regional, national population

Reducing health inequalities

Reduce occurrence ill health, action deliver appropriate health/ care services

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3
Q

Virtuous cycle of public health

A

Health improvement & early intervention -> I loved health & equality -> greater personal/ population wellbeing -> reduced pressure on health/ social care -> money saved to invest in prevention/ health improvement ->

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4
Q

Fundamental requirements for health improvement

A

Evidence of what works and anticipated benefits

Planning and implementation of interventions

Evaluation and next steps

Understanding population level health needs

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5
Q

How can we understand population level health needs?

A
Research 
Routine data
Health needs assessment 
Health equity audit
Service improvement & evaluation
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6
Q

What categories are there in logic models?

A

Inputs

Outputs/ activities

Short term outcomes

Medium term outcomes

Long term outcomes

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7
Q

4 levels of prevention

A

Primordial - before risk factors developed to eliminate, general population

Primary - disease prevention/ screening, reduce risk disease, susceptible population

Secondary - screening/ treatment, slow progression of disease, asymptomatic population with pathology

Tertiary - treatment/ rehabilitation, minimise consequences of disease, symptomatic patients

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8
Q

Define screening

A

Presumptive identification of unrecognised disease or defect

From those who probably have a disease to probably do not

Application tests, examinations, other procedures

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9
Q

What is lead time bias?

A

Early diagnosis falsely appears to prolong survival, patients actually live the same length of time but longer knowing they have the disease

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10
Q

Difference between sensitivity and positive predictive value?

A

Use sensitivity of test (ability to pick up who is truly diseased) to determine what patient is interested in, PPV ( likelihood of having the disease after positive test result)

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11
Q

What is length time bias?

A

Screening programmes better at picking up slowing growing, unthreatening cases

Diseases detectable more likely to have favourable prognosis and may never have caused a problem

False conclusion screening is beneficial

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