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IVDR · ISO 20916 · CLSI · Rapid tests and assays

IVD Performance Study Objectives: Defining Endpoints Regulators Accept

Clear objectives are the foundation of every IVD performance study. They decide which samples you test, how many you need and whether your results will support your claims. Here are the five objectives most IVD studies cover, with a worked rapid-test example.

5core study objectives
1endpoint and acceptance criterion per objective
Pre-setcriteria fixed before testing
PERwhere the results end up
Why it matters

Why study objectives make or break an IVD performance study

Every claim in your instructions for use, from sample types to sensitivity, needs evidence. Study objectives turn those claims into measurable endpoints with acceptance criteria set before any testing begins.

Vague objectives lead to studies that answer the wrong question, sample sizes that are too small and Notified Body findings. Well-defined objectives keep the study focused and the results defensible.

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Tied to your claimsEach objective supports a specific IFU claim.
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MeasurableDefined endpoints and statistics, not general goals.
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Pre-specifiedAcceptance criteria fixed in the study plan.
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Feeds the PERResults go straight into your Performance Evaluation Report.
Process flow

From intended claims to a study plan

List the claimsAnalyte, sample types, users, setting and performance figures.
Set objectivesOne objective for each claim that needs evidence.
Define endpointsPPA, NPA, LoD, CV%, agreement or invalid rate.
Set acceptance criteriaFrom state of the art, literature and common specifications.
Size and plan the studySample size, sites, samples and the study plan.
The 5 objectives

The 5 core objectives of an IVD performance study

Most IVD studies cover these five areas. The exact set depends on your assay and claims.

ObjectiveWhat it showsTypical endpoints
1. Clinical diagnostic performanceAgreement with a validated reference method or clinical diagnosisPPA and NPA, or sensitivity and specificity, with 95% confidence intervals
2. Analytical performanceHow little analyte the test detects and what disturbs itLimit of detection, cross-reactivity, endogenous and exogenous interference
3. Repeatability and reproducibilityConsistent results across conditionsAgreement or CV% across operators, reagent lots, days and sites
4. Matrix equivalencySame results across claimed sample typesAgreement between whole blood, serum, plasma, venous and fingerstick
5. Operational robustnessReliable results in real useRead-time window, invalid rate, hook effect, temperature and humidity flex
Clinical metrics

PPA and NPA vs sensitivity and specificity

Which metric you report depends on how good your comparator is.

Sensitivity and specificityPPA and NPA
ComparatorClinical truth or an accepted reference standardAnother test that may itself be imperfect
What it measuresHow often the test is right about the conditionHow often the test agrees with the comparator
When usedReference standard availableComparator is an assay such as ELISA or RT-PCR
ReportingPoint estimate with 95% confidence intervalPoint estimate with 95% confidence interval
Worked example

Example: objectives for a dengue NS1 antigen rapid test

An illustration of how the five objectives apply to a lateral flow rapid test.

01
Clinical performancePPA and NPA against NS1 ELISA and RT-PCR in patients with suspected dengue.
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Analytical performanceLimit of detection; cross-reactivity with related flaviviruses; interference from bilirubin, haemoglobin, lipids and common drugs.
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PrecisionRepeatability and reproducibility across operators, reagent lots and days.
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Matrix equivalencyAgreement between whole blood, serum and plasma.
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RobustnessRead-time stability, invalid rate and high-dose hook effect.
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ResultA study plan with clear endpoints, sample size and pre-set acceptance criteria.
Avoid findings

Common gaps in IVD study objectives

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Claims without objectivesIFU claims that no study objective covers.
02
Criteria set after testingAcceptance criteria chosen to fit the results.
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Wrong metricSensitivity reported against an imperfect comparator.
04
Missing matricesSample types claimed but never tested.
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No hook effect testingHigh concentrations not checked for false negatives.
06
No confidence intervalsPoint estimates without measures of precision.
Our services

How REGHELPS helps define and deliver your study objectives

Claims and objectives workshopTurning IFU claims into study objectives.
Endpoints and acceptance criteriaBased on state of the art and common specifications.
Sample size calculationStatistically justified for every objective.
Study plan writingISO 20916 compliant study plans.
Study executionFull-service IVD performance studies.
Reporting for the PERResults packaged for your Performance Evaluation Report.
FAQ

IVD performance study objectives FAQs

What are the typical objectives of an IVD performance study?

Most studies combine clinical objectives, such as diagnostic sensitivity and specificity or positive and negative percent agreement against a reference method, with analytical objectives such as limit of detection, cross-reactivity, interference, precision, matrix equivalency and robustness. Each objective needs a defined endpoint and acceptance criterion.

What is the difference between PPA/NPA and sensitivity/specificity?

Sensitivity and specificity compare results with the true clinical status. When the comparator is another test rather than a perfect reference standard, results are reported as positive percent agreement (PPA) and negative percent agreement (NPA), because the comparator itself can be wrong.

What is the hook (prozone) effect and why test for it?

In some immunoassays, including many rapid tests, very high analyte levels can produce a falsely weak or negative result. Testing high concentrations shows whether the hook effect occurs within the clinically relevant range and whether the IFU needs a warning.

Why is matrix equivalency tested?

If a test claims to work with whole blood, serum and plasma, or with fingerstick and venous samples, the study must show results agree across those matrices. Otherwise only the matrices actually tested can be claimed.

How are acceptance criteria set?

From the state of the art, comparable devices on the market, published literature, clinical need and, for certain Class D IVDs, the EU common specifications in Implementing Regulation (EU) 2022/1107. Criteria must be set in the study plan before testing starts.

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