5.1.2 Reliability and Validity of diagnoses Flashcards

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1
Q

Inter Rater Reliability

A

When two clinicians can review the same information about the symptoms of one patient and come to the same conclusion about diagnosis.

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2
Q

Reliability

A

Is about consistency within results whereby psychiatrists and classification systems can come to the same conclusion everything time.

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3
Q

Strength

A

Evidence
Brown found good agreement and inter rater between most of the categories and issues only arose about length, severity and amount of symptoms

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4
Q

Weakness

A

Opposing Evidence
Andes’s found little agreement between using the ICD and DSM showing low consistency

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5
Q

Test Retest Reliability

A

Test retest is about diagnosing at two different points and finding consistency throughout. Cohens Kappa measures the proportion of people who receive the same diagnosis at a later date.

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6
Q

Strength

A

Evidence
Cooper found 0.2 to 0.4 to be acceptable and the result of 0.28 for major depressive disorder

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7
Q

Cohens kappa

A

0.7 was seen to be in good agreement.

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8
Q

Weakness

A

Opposing Evidence
Spitzer and Felis found that 0.7 reliability is only satisfactory and reliability may not be important if the focus is on individualised treatment that will work to recover or lessen the mental health issues

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9
Q

Validity

A

How accurately the diagnosis matches symptoms.

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10
Q

Predictive validity

A

Whether the outcome is as predicted after being diagnosed,

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11
Q

Strength

A

Evidence
Mason found ICD 9+10 were good at predicting disability in sz people 13 years after.

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12
Q

Weakness

A

Criticism
Reductionist as it reduces down to symptoms/features and would be more valid if holistic.

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13
Q

Concurrent validity

A

Producing the same results/diagnosis using another diagnostic tool

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14
Q

Strength

A

Evidence
Lee found that when comparing a questionnaire from teachers about behaviour to the DSM criteria that there was similar relationships

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15
Q

Weakness

A

Criticism
Labels may affect questionnaire data and perceptions because they may be biased to give results.

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