Multiplier method

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Multiplier method. علی اکبر حقدوست، اپیدمیولوژیست. Objectives. To understand the basic concept of the multiplier method To know what type of information you need To list its advantages, disadvantages, assumptions and limitations - PowerPoint PPT Presentation

Transcript of Multiplier method

Page 1: Multiplier method

با همکاری:/ایدز، دانشگاه علوم HIVمرکز منطقه ای آموزش نظام مراقبت

پزشکی کرماناداره ایدز و بیماریهای آمیزشی، مرکز مدیریت بیماریها

مجری برنامه:دانشگاه علوم پزشکی آذربایجان شرقی

/ایدز، برآورد HIVکارگاه پیشرفته کشوری نسل دوم نظام مراقبت جمعیت و روشهای نمونه گیری در جمعیت های سخت در دسترس –

1390 آبان 5 تا 1تبریز

Multiplier method

علی اکبر حقدوست، اپیدمیولوژیست

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Objectives

• To understand the basic concept of the multiplier method

• To know what type of information you need• To list its advantages, disadvantages,

assumptions and limitations• To compute the size of a hard to count

population with such methods

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Introduction

Information from two sources :• An institution or service • Population at risk

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A question

• In last month, 100 FSWs were received services from your center. What does it mean? Is it mean that its population size is large or small?

• You also know only 10% of FSWs received services from your center in last month; what is your conclusion?

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Multiplier method

An indirect method with two factorsI. Number of recorded individuals :rII. Proportion of the individuals who have such contact (m)

r / +N=r*1/m

Same period

m=

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Key assumptions

• The benchmark (r) is a known and valid number• The multiplier comes from a representative and

unbiased sample• Subjects are randomly distributed and they have

more or less comparable chance to be as part of the benchmark or the multiplier

• The population is close

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Advantages

• Straightforward to use• Require good institutional record-keeping• The right questions inserted into regular

behavioral surveillance• No mystique, no sophisticated mathematics, no

gloss of “high science”

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Disadvantages

• Difficulty in finding data for institutions and populations that correspond with one another

• Have a chance of being included in both survey

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Potential data sources

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Example 1

• In a survey of MSM taken in street cruising areas, 30 percent say they had a voluntary HIV test in the last year. Data show that 700 of the clients seeking HIV tests in the last year gave male-male sex as a risk factor. Number of MSM?

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Question to discuss

• But what if VCT is only available to those with health insurance, and gay men with health insurance are wealthier, more likely to be employed in the corporate sector, and less likely than gay men with no health insurance to hang out in street cruising areas?

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Several key issues

• Clear, consistent definitions between different data Sources

• Stability of r & m• Catchment area

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Key Issues

• Firstly, the population definitions must be clear• Secondly, the time reference period must be clear, and

must be the same in both data sources• Thirdly, the age range of the populations to be

compared must be similar• Finally, the catchment area for the services or

institutions must be clear

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Example 2

• Forty five percent of respondents say they have been in prison in the last year in a given city. Over the previous year, the prison service in the city has released 1,234 individuals who had been incarcerated on drug-related offences. Estimate would assume that those 1,234 individuals represented 45 percent of drug users in the city, and that the true number of drug users was therefore in the region of 1,234 / 0.45, or around 2,760.

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Questions to discuss

• Do think the estimate is accurate? Why not? • What is the main assumption behaind such

estimation?• Do you think the assumption is likely to be

true?

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• Assumption:" drug user in prison” is synonymous with “prisoner incarcerated on drug charges”.

• Many of those may be people who are dealers• Many people who are users and in prison but were

imprisoned for other criminal activities• Who started using drugs while in prison, would not be

captured

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