Evidence map›Paper›PMID 40232943›Full record

ArticlePhysiological reports2025

A method for determination of hematocrit using the mobile app "HaemoCalc": Validity, reliability, and effect of user expertise.

Lawrence D Hayes, Nilihan E M Sanal-Hayes, Maryam Ellam, Marie Mclaughlin, Michelle G Swainson, Nicholas F Sculthorpe

Abstract readValidation Study
In one paragraph

Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lawrence D HayesLancaster Medical School, Lancaster University, Lancaster, UK.ORCID 0000-0002-6654-0072
Nilihan E M Sanal-HayesSchool of Health and Society, University of Salford, Salford, UK.ORCID 0000-0003-4979-9653
Maryam EllamLancaster Medical School, Lancaster University, Lancaster, UK.ORCID 0009-0006-9613-1305
Marie MclaughlinPhysical Activity for Health Research Centre, Institute for Sport, P.E. and Health Sciences, University of Edinburgh, Moray House School of Education and Sport, Edinburgh, UK.ORCID 0000-0001-8330-1869
Michelle G SwainsonLancaster Medical School, Lancaster University, Lancaster, UK.ORCID 0000-0002-5223-8710
Nicholas F SculthorpeSport and Physical Activity Research Institute, School of Health and Life Sciences, University of the West of Scotland, Glasgow, UK.ORCID 0000-0001-8235-8580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated validity, reliability, and effect of user expertise of "HaemoCalc", a mobile phone application for hematocrit (Hct) measurement from fingerpick blood samples, compared to a traditional Hawksley microhaematocrit reader (MHR). Experiment 1 examined the effect pitch angle during image capture exerted on the validity of Hct values. Twenty participants' samples were analyzed at 0°, 10°, and 20° directly over the sample, and 33° with a 10 cm setback. Analysis of variance (ANOVA) revealed a significant effect of angle on Hct values (p < 0.01). Measurements at 33° pitch differed from other angles and the MHR (p < 0.001, d = 2.31-3.06). Bland-Altman analysis showed good agreement at 0°, 10°, and 20° (mean differences: -0.4% to 1.0%) but poor agreement at 33° (mean difference: -4.4%, LOA: -0.7% to 8.4%). Experiment 2 assessed inter- and intra-rater reliability of expert and novice users (n = 12). Participants performed three trials each. HaemoCalc and MHR showed excellent reliability (ICC = 0.95-1.00). No differences were observed between experts and novices (p = 1.000, d = 0.01-0.39). HaemoCalc is a valid and reliable tool for Hct measurement at small pitch angles and in expert and novice users. The HaemoCalc app offers scalability, repeatability, health and safety benefits, and potential applications in medical education and remote learning.

Indexed as

Mobile ApplicationsAdultFemaleHematocritHumansMaleReproducibility of ResultsYoung Adulthematocritlimits of detectionmedical educationmobile appred blood cellssoftware validation

Identifiers

PMID40232943
PMCPMC11998950

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.