Jurnal
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
- 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
25 authors · 50 co-authorship links
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- Monash University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
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| Co-author | Organisation | Joint articles |
|---|---|---|
| Widaryati Widaryati | Affiliation unknown | 2 |
| Ani Margawati | Affiliation unknown | 2 |
| Muhammad Arsyad Subu | Affiliation unknown | 2 |
| Salman Farisi | Affiliation unknown | 1 |
| Christina Nugroho Ekowati | Affiliation unknown | 1 |
| Rizka Oktavia | Affiliation unknown | 1 |
| Bambang Irawan | Monash University | 1 |
| Sri Wahyuningsih | Affiliation unknown | 1 |
| Rochmah Agustrina | Affiliation unknown | 1 |
| Herta M. Manullang | Affiliation unknown | 1 |
| Ris Hadi Purwanto | Affiliation unknown | 1 |
| Evelin Parera | Affiliation unknown | 1 |
| Dwiko Budi Permadi | Affiliation unknown | 1 |
| Djabir Hamzah | Affiliation unknown | 1 |
| M. Ilham Eka Putra | Affiliation unknown | 1 |
| Anjelina Frisca Junita Ponto | Affiliation unknown | 1 |
| Muh. Idrus Taba | Affiliation unknown | 1 |
| Sulistia Nur Sumardi | Affiliation unknown | 1 |
| Dian Veronika Sakti Kaloeti | Affiliation unknown | 1 |
| Hana Priscilla Frudence Sohilait | Affiliation unknown | 1 |
| Meira Erawati | Affiliation unknown | 1 |
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.