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Anuj Mundra. 1. Definition 2. Difference between screening and diagnosis. 3. Aims of screening 4. Criteria for screening 5. Types of screening 6. Bias.

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Presentation on theme: "Anuj Mundra. 1. Definition 2. Difference between screening and diagnosis. 3. Aims of screening 4. Criteria for screening 5. Types of screening 6. Bias."— Presentation transcript:

1 Anuj Mundra

2 1. Definition 2. Difference between screening and diagnosis. 3. Aims of screening 4. Criteria for screening 5. Types of screening 6. Bias in screening 7. Designing and evaluating a screening programme. 2

3 Presumptive identification of unrecognized disease or defect by application of tests, examinations, or other procedures that can be applied rapidly. (U.S. Commission on chronic illness, 1957)  A preventive care function (secondary prevention)  It however differs from periodic health examination in the following respects-  Wider application,  Relatively inexpensive, 3

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5 5 Screening testsDiagnostic tests 1. Done on apparently healthy population to detect potential cases or indicators. Done on those with signs of a disease to establish presence or absence of disease. 2. Applied to a community or group of peopleApplied to individuals 3. Based on one criterion or cut-off point Based on evaluation of a number of evidences like symptoms, signs, and investigations. 4. Generally less accurate and relatively less expensive More accurate but also more expensive 5. Not a basis of treatmentForms a basis to initiate treatment 6. Initiative comes from the investigatorInitiative comes from a patient. 7. Simple, acceptable to patients and staffMay be invasive and cumbersome 8. Generally chosen towards high sensitivity not to miss potential disease Chosen towards high specificity

6 To sort out those with disease or at risk of having one from an apparently healthy population and bring them under medical supervision and treatment, thus helping in controlling the disease  Screening can also be done for risk factors e.g.  Screening for high BP as a risk for stroke  Screening for cholesterol levels as a risk factor for cardiovascular diseases.  Technical procedure like radio diagnosis or lab tests not necessary always, but simple procedures like BP assessment and certain criteria like MAST or CAGE can be also be successfully used for screening 6

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8 Conceptual framework relating screening at individual setting and community levels 8

9 Wilson and Jungner classic screening criteria, WHO 1968  The condition should be an important health problem  There should be an accepted treatment for patients with recognized disease.  Facilities for diagnosis and treatment should be available.  There should be a recognisable latent or early symptomatic stage.  There should be a suitable test or examination.  The test should be acceptable to the population.  The natural history of the condition, including development from latent to declared disease, should be adequately understood.  There should be an agreed policy on whom to treat as patients.  The cost of case-finding (including diagnosis and treatment) should be balanced in relation to possible expenditure on medical care as a whole.  Case-finding should be a continuing process and not a 'once and for all' project. 9

10  The screening programme should respond to a recognized need.  The objectives of screening should be defined at the outset.  There should be a defined target population.  There should be scientific evidence of screening programme effectiveness.  The programme should integrate education, testing, clinical services and programme management.  There should be quality assurance, with mechanisms to minimize potential risks.  The programme should ensure informed choice, confidentiality and respect for autonomy.  The programme should promote equity and access to screening for the entire target population.  Programme evaluation should be planned from the outset.  The overall benefits of screening should outweigh the harm. 10

11 The disease Is it an important health problem? Is the natural history well understood? Is there a recognizable latent or early symptomatic stage? Does early intervention improve the clinical/ public health outcome? Screening test Is the test valid? Is the test simple, reliable and affordable? Is the test acceptable to the patient and staff? Diagnosis and treatment Are the diagnostic facilities easily accessible? Is the treatment accessible and effective ? Is the overall programme cost-effective and sustainable? Does the benefit outweigh the harms from the programme? 11

12 1. Disease burden  Should be significant in terms of prevalence, morbidity or mortality.  A disease with less severe burden is likely to waste resources. 12

13 2. Natural history of disease and detectable preclinical phase- 13

14 2. Natural history of disease and detectable preclinical phase-  Helps to decide precisely when a screening test should be applied.  In its absence, the screening would not find many undiagnosed cases.  If the detectable stage does not come early before the critical point the treatment would not offer much benefit.  When untreated, the disease should progress to a clinical disease phase. 14

15 3. Availability of diagnostic and treatment facilities  Any screening should be followed by diagnostic tests.  Mere diagnosis is likely to just increase distress.  The disease should be treatable or modifiable by early intervention in terms of improved survival and fewer long term problems than late treatment.  It should also be ensured that adequate facilities and access to further diagnosis and treatment is available. 15

16 For a test to be suitable for screening, it should be  Acceptable  Reliable  Valid  Cost-effective  Offer a good yield of cases.  Safe  Simple  Provide rapid results 16

17  Should not be painful or embarrassing e.g. PR exam, biopsy  Should expose to minimum hazards like radiation.  Impact of test results or even being labelled at risk for the disease e.g. stigma of HIV, fear of cancer 17

18  Ability of a test to produce consistent results when repeated on the same individual in similar conditions.  Also called as repeatability/ precision/ reproducibility.  Depends on-  Observer variation: Common in interpretation of X-rays, ECG, BP etc. Can be minimized by standardization of procedures, intensive training, repeat measurements etc. These errors can however, not be eliminated completely. It is of 2 types  Intra-observer variation  Inter-observer variation : measured by agreement, Kappa statistics  Biological variation: due to physiological alterations e.g. BP, RBS  Technical errors: defective instruments, faulty calibrations or reagents etc. 18

19 A. Percent agreement:  Percent agreement= (A+D)/(A+B+C+D)  Clearly negative individuals are usually high, thus increasing the agreement.  It may be affected by knowledge, practice, training, and chance. 19 Observer 2 Observer 1PositiveNegative PositiveAB NegativeCD

20  The total variation in results is cumulative of all sources  A test with a wide range of results is less reliable than a test with a narrow range of results. 20

21  Closeness with which the measured value agrees with the true value. It is also called as Accuracy.  Determines whether a test is good enough to be used in screening for a particular disease.  Validity of a test is measured by its sensitivity and specificity. 21 DiseaseNo disease Test positiveTrue positives (a)False positives (b)Test positives (a+b) PV+ = a/(a+b) Test negativeFalse negatives (c)True negatives (d)Test negatives (c+d)PV- = d/(c+d) Total diseased (a+c)Non-diseased (b+d)Total screened (a+b+c+d) Sensitivity= a/(a+c)Specificity= d/(b+d)

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23  Sensitivity: Ability of a test to detect all those with the disease in the screened population. Sensitivity= true positives/ (true positives + false negatives)  Specificity: Ability of a test to identify correctly those free of the disease in the screened population Specificity= true negatives/ (true negatives + false positives)  Ideal screening test– 100% sensitivity and specificity. Generally a test with high sensitivity is chosen for screening.  Both sensitivity and specificity are inherent properties of a test.  Cut-off values of tests can affect sensitivity and specificity  High cut-off – low sensitivity but high specificity  Low cut-off – high sensitivity but low specificity 23

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26  Graphical display of the how the proportions of true positives and false positives change for each of the possible pre-determined value.  Distance from diagonal and area under the curve (AUROC) determines accuracy. AUROC ranges from 0 to 1.  1 = perfect test  0.5= no diagnostic capability  Uses:  Shows the trade off between sensitivity and specificity.  To set a cut-off value for a test result.  To compare the performance of different tests measuring the same outcome.  Cannot be used for a dichotomous variable 26

27 27 sensitivity Blood sugar level (mg/dl) Sensitivity (%)Specificity (%) 7098.68.8 8097.125.5 9094.347.6 10088.669.8 11085.784.1 12071.492.5 13064.396.9 14057.199.4 15050.099.6 16047.199.8 17042.9100 18038.6100

28  Proportion of individuals having the disease or free of it from those detected as positive or negative by the test respectively.  Does not affect the validity of test rather depends on its sensitivity and specificity.  Not an inherent property as depends on the prevalence of disease in the screened population.  Helps in determining the population to be screened, test to be utilized and cost-effectiveness.  It is of 2 types: Predictive value of a positive test (PPV) Predictive value of a negative test (NPV) 28

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31  How much a test result will change the odds of having the disease.  Used to describe the performance of a test.  LR+ infers how much the odds of disease increase when a test is +ve LR+ = TP/FP or sensitivity/ (1-specificity)  LR– infers how much the odds of disease decrease when a test is -ve LR- = FN/ TN or (1-sensitivity)/ specificity  Pre-test odds = prevalence / (1-prevalence)  Pre-test odds x likelihood ratio = post-test odds  Post-test probability = post-test odds/(1+post-test odds) 31

32  Interpretation: the further away from 1, the stronger the evidence for presence or absence of a disease.  LR > 1 – associated with presence of a disease  LR < 1 – associated with absence of a disease.  Represents results of a test as degree of abnormality rather than mere presence or absence  Difficult to calculate as it requires conversion from probability to odds and back. 32

33  Includes cost of entire follow up process.  Includes financial and non-financial costs (time, labour, convenience) to the patients as well as health personnel.  Improvement is subject to improving validity and predictive values thereby reducing overdiagnosis and overtreatment.  Important in guiding policy decisions. 33

34  Amount of previously unrecognized disease diagnosed by screening.  Depends on sensitivity, specificity and prevalence. A screening in high risk population usually leads to a higher yield of cases. 34

35  A screening test should be safe and not expose individuals to any hazards e.g. radiation, toxic drugs.  A test should be simple enough to be carried out with minimal resources, paramedical or if possible non-medical personnel e.g. rapid HIV tests, mental heath screening by teachers at school.  A rapid test will enable us in wider coverage, better acceptance and early initiation of therapy. 35

36 1. Mass screening  Screening of a whole population or community irrespective of the risk.  Increases programme sensitivity but less cost-effective. 2. High risk or selective screening  Applied selectively to high risk groups.  More cost-effective but decreases programme sensitivity.  Has a higher PPV. 36

37 3. Multiphasic screening  Application of 2 or more tests in combination. May be of 2 types  Parallel/ simultaneous testing: Individuals go through all the tests at the same time. Patient is considered to have diseased if any of the tests is positive. This approach increases the sensitivity of a screening programme.  Serial/ sequential testing: Individuals undergo the first test and if positive, will undergo the other test. Patient is considered diseased if all test results are positive. This approach tends to increase the specificity.  However, there is lack of evidence of multiphasic screening having any additional benefit compared to the increases the cost and time consumed. 37

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39 39 Net specificity= (7600+1710) / 9500 = 98%

40 1. Referral/ volunteer bias  Type of selection bias  People who volunteer to participate are more health conscious and compliant to advice – better prognosis.  In certain cases like Ca breast, Ca ovaries the patient volunteer due to +ve family history – poor prognosis.  Difficult to determine the direction of bias. 40

41  Also a type of selection bias  Depends on type of diseases.  Relates to concept that screening selectively identifies cases with better prognosis. 41

42  Time between the actual detection of the disease by screening and its usual time of diagnosis in its absence.  Illusion of better survival only because of earlier detection. 42

43  Due to overenthusiasm of people, tendency to misclassify (overdiagnose) non diseased as positive.  A disease which would never have progressed to clinical stage or very late to have any significant effect in the lifetime or may have regressed on its own.  Highly sensitive test with low specificity – ‘Aggressive screening’  Falsely increases the burden without any benefit 43

44  A screening programme should guarantee improvement of general health of community with minimum risks or disadvantage  Judicious use of limited resources especially in developing countries so as not to compromise other health needs.  Informed consent.  Psychological harm from false positives and unwarranted reassurance from false-negatives results. 44

45 Operational measures  # people screened  Proportion of target screened and # times  Detected prevalence  Total cost of programme  Cost per case found  Proportion of positive screenees brought to final diagnosis & T/t  Predictive value of the test Outcome measures  Mortality reduction  Case-fatality rate reduction  Percentage increase in cases detected early  Complication reduction  Prevention or reduction in recurrence  Improvement in quality of life. 45

46 1. Disease to be screened- Burden, diagnostic workup, treatment facility. 2. Screening test- validity, reliability and applicability. 3. Determining the threshold/cut-off value –  Higher cut-off gives specific but less sensitive test  Lower cut-off gives sensitive but less specific test 4. Determining the population–Entire population (low risk) or selective (high risk) group is to be taken. 5. Counselling opportunities. 6. Arrangements for confirmatory test and treatment. 7. Evaluation of screening programme – Because of the deep-rooted belief that 'early diagnosis' of disease is beneficial, many regard screening as bound to be effective. However, for some reasons this is not the case always, thus necessitating evaluation of any screening intervention.  The best study design to evaluate a screening programme is RCT. Although non-randomized trials, case control and cohort studies can also be used. For better evaluation mortality should be used as endpoint rather than survival.  Referral bias, length bias, lead-time bias, and overdiagnosis bias. 8. Regular follow-up screening sessions. 46

47  The screening procedures for breast examination are-  Breast examination – self, clinical  Mammography  Mammography has very less benefits over breast examination. 47 40-6950-69 20% mortality reduction (only 1/1000 women more) 17% mortality reduction More screens with more false +ve Lesser screens with lesser false +ve Increasing screening to 79 yrs decreases deaths by 8% than till 69 Increasing screening to 79 yrs decreases deaths by 7% than till 69

48  Screening programmes in Europe and Canada recommend cervical cytology starting at 25 till 64yrs at 3yrs interval (13 tests overall)  In some countries yearly cytology from 20 yrs (overall 45 tests), thus increasing the burden. reduction in cumulative incidence of invasive cervical cancer with different screening strategies 48 Screening frequencyReduction in rate of invasive cancer (%) No. of tests required Yearly6130 2 yearly6115 3 yearly6010 5 yearly556

49  Methods available:  DRE (digital rectal examination) – less sensitive  PSA (prostate specific examination) – very low specificity detecting many benign lesions.  yearly screening for PSA-  Risk of death without screening – 2.86%  Risk of death with screening – 2.15%  Risk of overdiagnosis – 3.3%  Biennial screening-  risk for death – 2.27%  Overdiagnosis – 2.4% 49

50 1. Gordis L. Gordis: Epidemiology. 4th ed. Philadelphia: Saunders Elsevier; 2008. 2. K.park. Parks text book of preventive and social medicine. 22nd ed. Jabalpur: M/s Banarasidas Bhanot; 2013. 3. Andermann A, Blancquaert I, Beauchamp S, Déry V. WHO | Revisiting Wilson and Jungner in the genomic age: a review of screening criteria over the past 40 years. Bull World Health Organ [Internet]. World Health Organization; 2008;86(4). Available from: 4. Ruf M, Morgan O. Diagnosis and screening. Pubic health textbook. 1st ed. Public Health Action Support Team; 2011. 5. Miller AB, Goel V. Screening. In: Detels R, McEwen J, Beaglehole R, Tanaka H, editors. Oxford Text Book of Public Health. 4th ed. Oxford University Press; 2002. 6. Rothman KJ, Greenland S, Lash TL. Modern Epidemiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008. 7. Wilson J, Jungner G. Principles and practice of screening for disease. Geneva: World Health Organization; 1968. 8. Fletcher RH, Fletcher SW, Wagner EH. Clinical Epidemiology: The Essentials. 3 rd ed. Satterfield TS, editor. Pennsylvania: Williams & Wilkins; 1996. 9. Mandelblatt JS, Cronin KA, Bailey S, Berry DA, de Koning HJ, Draisma G, et al. Effects of mammography screening under different screening schedules: model estimates of potential benefits and harms. Ann Intern Med. 2009 Nov 17;151(10):738–47. 10. Gulati R, Gore JL, Etzioni R. Comparative effectiveness of alternative prostate-specific antigen--based prostate cancer screening strategies: model estimates of potential benefits and harms. Ann Intern Med. 2013 Feb 5;158(3):145–53. 50

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