Melola Discovery

← Melola Discovery

Journal

Mapping Methods for Total Body Weight Measurement in Critically Ill Patients: A Scoping Review

Indonesian Contemporary Nursing Journal (ICON Journal) · Vol. 11 No. 1 (2026) · pp. 126–144

DOI
10.20956/5t4vhk21
ISSN
2686-116X, 2528-2557
Published
2026-08-17
Publisher
Faculty of Nursing, Universitas Hasanuddin
Language
en

Abstract

Aims: This scoping review aimed to identify and map existing methods for measuring total body weight in critically ill patients. Methods: A comprehensive literature review was conducted across seven databases (PubMed, Web of Science, Embase, Medline-OVID, CINAHL, Cochrane, and Scopus) on August 1, 2024, without publication-year restrictions. The terminology keywords: “Critical Illness,” “Intensive Care Units,” “Burn Units,” “Coronary Care Units,” “Respiratory Care Units,” “Critical Care,” “Weights and Measures,” “Ideal Body Weight,” “Body Weight,” “Body Size,” “Data Accuracy.” Eligible records were English-language original studies, validation studies, observational studies, quality-improvement projects, and pilot studies reporting total body weight measurement or estimation methods applicable to critically ill adults. Results: Twelve studies were included. Four approaches were identified: 1) estimation methods, 2) anthropometric formulas, 3) technology-assisted techniques, and 4) tape measurement methods. The evidence for method performance varied. Visual estimation showed substantial errors, including errors greater than 10% in nearly half of the estimates in one ICU study. Anthropometric formulas showed moderate or population-specific agreement with the measured weights. Technology-assisted methods, including bed or hoist scales and 3D camera systems, generally provide more objective measurements or lower error but require equipment, calibration, and feasibility considerations. The PAWPER XL-MAC adult tape method showed a strong validation performance, with P20 of 96.0% and P10 of 71.3%, respectively. Conclusion: Technology-assisted methods and standardized anthropometric or tape-based approaches appear to be more clinically useful for critically ill patients. However, their accuracy, validity, reliability, feasibility, and cost-effectiveness vary by setting. Further validation in diverse ICU populations is required before recommending a single, preferred method.

Keywords

Collaboration network of the authors

31 authors · 64 co-authorship links · 8 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Diponegoro University
  • STIKES Mamba'ul 'Ulum Surakarta
  • Aisyah University
  • University of Sharjah
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Meira ErawatiDiponegoro University2
Urai HatthakitAffiliation unknown2
Widaryati WidaryatiAffiliation unknown2
Muhammad Arsyad SubuUniversity of Sharjah2
Ani MargawatiDiponegoro University2
Sulistia Nur SumardiAisyah University1
Dian Veronika Sakti KaloetiDiponegoro University1
Hana Priscilla Frudence SohilaitDiponegoro University1
Wyssie Ika SariAffiliation unknown1
Tri Suraning WulandariAffiliation unknown1
Megah AndrianyAffiliation unknown1
Ma. Theresa SalindaAffiliation unknown1
Daryl Jake FornollesAffiliation unknown1
Nurul Safira LahatiAffiliation unknown1
Jeremy Godofredo MoralesAffiliation unknown1
Tri Yahya ChristinaAffiliation unknown1
Rifky IsmailAffiliation unknown1
Andrew JohanAffiliation unknown1
Ricky PrawiraAffiliation unknown1
Yohanes Andy RiasAffiliation unknown1
Ratsiri ThatoAffiliation unknown1
Hsiu Ting TsaiAffiliation unknown1
Noor Rohmah MayasariAffiliation unknown1
Zulfa AvidiansyahAffiliation unknown1
Iswanti PurwaningsihAffiliation unknown1
Praneed SongwathanaAffiliation unknown1
Tippamas ChinawongAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/icon/oai, first harvested 2 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Mapping Methods for Total Body Weight Measurement in Critically Ill Patients: A Scoping Review</dc:title>
	<dc:creator xml:lang="en">Anggiri, Refonda Rias</dc:creator>
	<dc:creator xml:lang="en">Ismail, Suhartini</dc:creator>
	<dc:creator xml:lang="en">Retnaningsih, Retnaningsih</dc:creator>
	<dc:creator xml:lang="en">Sumardi, Sumardi</dc:creator>
	<dc:subject xml:lang="en">body weight</dc:subject>
	<dc:subject xml:lang="en">critical illness</dc:subject>
	<dc:subject xml:lang="en">weights and measures</dc:subject>
	<dc:description xml:lang="en">Aims: This scoping review aimed to identify and map existing methods for measuring total body weight in critically ill patients.
Methods: A comprehensive literature review was conducted across seven databases (PubMed, Web of Science, Embase, Medline-OVID, CINAHL, Cochrane, and Scopus) on August 1, 2024, without publication-year restrictions. The terminology keywords: “Critical Illness,” “Intensive Care Units,” “Burn Units,” “Coronary Care Units,” “Respiratory Care Units,” “Critical Care,” “Weights and Measures,” “Ideal Body Weight,” “Body Weight,” “Body Size,” “Data Accuracy.” Eligible records were English-language original studies, validation studies, observational studies, quality-improvement projects, and pilot studies reporting total body weight measurement or estimation methods applicable to critically ill adults. 
Results: Twelve studies were included. Four approaches were identified: 1) estimation methods, 2) anthropometric formulas, 3) technology-assisted techniques, and 4) tape measurement methods. The evidence for method performance varied. Visual estimation showed substantial errors, including errors greater than 10% in nearly half of the estimates in one ICU study. Anthropometric formulas showed moderate or population-specific agreement with the measured weights. Technology-assisted methods, including bed or hoist scales and 3D camera systems, generally provide more objective measurements or lower error but require equipment, calibration, and feasibility considerations. The PAWPER XL-MAC adult tape method showed a strong validation performance, with P20 of 96.0% and P10 of 71.3%, respectively.
Conclusion: Technology-assisted methods and standardized anthropometric or tape-based approaches appear to be more clinically useful for critically ill patients. However, their accuracy, validity, reliability, feasibility, and cost-effectiveness vary by setting. Further validation in diverse ICU populations is required before recommending a single, preferred method. 
 </dc:description>
	<dc:publisher xml:lang="en">Faculty of Nursing, Universitas Hasanuddin</dc:publisher>
	<dc:date>2026-08-17</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/icon/article/view/49180</dc:identifier>
	<dc:identifier>10.20956/5t4vhk21</dc:identifier>
	<dc:source xml:lang="en">Indonesian Contemporary Nursing Journal (ICON Journal); Vol. 11 No. 1 (2026): Volume 11 Number 1 August 2026; 126-144</dc:source>
	<dc:source>2686-116X</dc:source>
	<dc:source>2528-2557</dc:source>
	<dc:source>10.20956/icon.v11i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/icon/article/view/49180/14902</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Indonesian Contemporary Nursing Journal (ICON Journal)</dc:rights>
</oai_dc:dc>