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Nursing Practice I — Community Health Nursing
문제

Situation: The nurse at a Rural Health Unit (RHU) joins a team evaluating a point-of-care hemoglobin test for anemia in pregnant women. The laboratory hemoglobin test is the reference standard. Using the same results for 500 pregnant women: Point-of-care positive: 85 with anemia, 48 without anemia Point-of-care negative: 15 with anemia, 352 without anemia What is the positive predictive value (PPV) of the point-of-care test? Round off to one decimal place.

해설
PPV is the proportion of women who test positive who truly have anemia: true positives ÷ all positive tests × 100. There were 133 positive tests (85 + 48), of which 85 were true positives: 85 ÷ 133 × 100 = 63.9%. PPV is read across the 'test positive' row.
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심화 해설

Understanding the 2 × 2 table

Before calculating the positive predictive value (PPV), the results must be arranged into a standard diagnostic accuracy table. The point-of-care test is compared against the laboratory hemoglobin test, which serves as the reference standard.

Point-of-care resultAnemia present (lab positive)Anemia absent (lab negative)Total
Test positive85 (true positive)48 (false positive)133
Test negative15 (false negative)352 (true negative)367
Total100400500


What PPV actually means

Positive predictive value answers the clinical question: If a pregnant woman has a positive point-of-care hemoglobin test, what is the probability that she truly has anemia? It is calculated only among women who tested positive.

PPV = true positives ÷ all positive tests × 100 = 85 ÷ 133 × 100 = 63.9%

The denominator includes both true positives and false positives because every positive result—whether correct or incorrect—is what the clinician must act on. A false positive means a woman without anemia is told she may be anemic, which can lead to unnecessary iron supplementation or further testing.

Why PPV is not a fixed property of the test

PPV depends on the prevalence of anemia in the tested population. In this sample, anemia prevalence is 100 ÷ 500 = 20%. At this prevalence, the PPV is 63.9%. If the same point-of-care device were used in a population with higher anemia prevalence, the PPV would rise; in a lower-prevalence population, it would fall. This is a key distinction from sensitivity and specificity, which are intrinsic test characteristics.

Key point! Sensitivity and specificity describe the test itself. PPV and NPV describe how the test performs in a specific population. Do not confuse PPV with sensitivity.

Clinical relevance in rural and antenatal settings

Point-of-care hemoglobin testing is particularly valuable where laboratory access is limited. In low- and middle-income settings, anemia is a substantial contributor to poor pregnancy outcomes, and on-site testing can expand screening coverage [1]. Devices such as the HemoCue and Masimo Rad-67 have been evaluated in antenatal care settings precisely because timely hemoglobin results allow same-day clinical decisions [2][4]. However, the presence of false positives—48 women in this sample—means that a positive point-of-care result should be interpreted as a screening trigger rather than a definitive diagnosis.

Watch out! A PPV of 63.9% means roughly 36 out of every 100 positive results are false positives. In practice, confirmatory laboratory testing or repeat hemoglobin measurement may be warranted before initiating long-term treatment, especially when iron therapy carries side effects or when resources are constrained [3][4].

Calculation steps for the exam

1. Identify true positives: 85 (point-of-care positive and lab-confirmed anemia).
2. Identify all positive tests: 85 + 48 = 133.
3. Divide true positives by all positives: 85 ÷ 133 = 0.639.
4. Multiply by 100 and round to one decimal place: 63.9%.

The other options represent common errors: 26.6% is the false positive rate among all positive tests (48 ÷ 180 would be incorrect; actually 48 ÷ 133 = 36.1%, which is option 2), and 88.0% is the negative predictive value (352 ÷ 367). Option 2 (36.1%) is the complement of PPV—the proportion of positive tests that are false positives—so selecting it reflects a misunderstanding of which row to read.

PPV is always read across the test positive row: true positives divided by the entire positive row total.
References (research sources)
  • [1]
    Accuracy of on-site tests to detect anemia during prenatal care.Research articleSobhy S, Rogozinska E, Khan KS (2017) · DOI: 10.1002/ijgo.12289
  • [2]
    Diagnostic accuracy of a non-invasive spot-check hemoglobin meter, Masimo Rad-67® pulse CO-Oximeter®, in detection of anemia in antenatal care settings in Kenya.Research articleKoech A, Mwaniki I, Mutunga J, Mukhanya M, Mwadime E, Ochieng M (2024) · DOI: 10.3389/fgwh.2024.1427261
  • [3]
    Comparative Diagnostic Accuracy of Clinical Pallor at Different Anatomical Sites for Detecting Anemia in Pregnant Women Using HemoCue® as the Reference Standard.Research articleJegadeesan D, Rajendran V, Rajamanickam S. (2026) · DOI: 10.7759/cureus.114293
  • [4]
    Diagnostic and analytic performance of four point-of-care hemoglobin testing devices used in routine HIV and maternity care in Uganda.Research articleSsuuna C, Nakawooya H, Muwanika R, Kankaka EN, Galiwango RM, Nyegenye W (2025) · DOI: 10.1186/s12913-025-13354-9

임상 시나리오

PPV in Anemia ScreeningInterpreting a Positive Point-of-Care Result

When a point-of-care hemoglobin test is positive in a pregnant woman, the positive predictive value (PPV) tells you the chance she truly has anemia. In this cohort, PPV is 63.9%, meaning about 2 out of 3 positive results are true anemia.

PPV is calculated only from the test positive row: true positives (85) divided by all positive tests (85 + 48 = 133). False positives are included because every positive result must be acted upon clinically.

Caution

PPV is not fixed; it depends on anemia prevalence in the screened population. The same device will have higher PPV in high-prevalence settings and lower PPV where anemia is rare.

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