Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 231

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Relationship between behavioral and physiological indicators of pain, critical care patients' self-reports of pain, and opioid administration

Puntillo, Kathleen A., Miaskowski, Christine, Kehrle, Karen, Stannard, Daphne, Gleeson, Sheila, Nye, Pamela·1997·Critical Care Medicine

Abstract

OBJECTIVES: To examine the accuracy of inferences about critical care patients' pain based on physiological and behavioral indicators and to assess the relationship between registered nurse and patient pain scores and doses of opioids administered. DESIGN: Descriptive, comparative analysis. SETTING: Three intensive care units and two postanesthesia care units in two hospitals. SUBJECTS: Fourteen critical care nurses who conducted 114 pain assessments on 31 surgical patients. INTERVENTIONS: Nurses used a pain assessment and intervention notation algorithm that contained lists of behavioral and physiological indicators of pain to make inferences about a patient's pain intensity. Fourteen registered nurses completed up to five pain assessments on each patient over a 4-hr period. Following both the physiological and behavioral ratings, nurses rated the patients' pain intensity, using a 0 to 10 numeric rating scale, and they asked patients to provide a self-report of pain intensity, using a similar numeric rating scale. Nurses then administered an intravenous dose of an opioid from a sliding scale prescription. MEASUREMENTS AND MAIN RESULTS: Moderate-to-strong correlations were found between the number of behavioral indicators at times 1 through 5 and between the number of physiological indicators and nurses' ratings of the patients' pain intensity at times 1 through 4 (p < .05). Although nurses' pain ratings were consistently lower than patients' pain ratings across the five time points, these differences were not significant. The amount of opioid analgesic administered by the nurse correlated more frequently with nurses' pain ratings than with patients' self-reports of pain intensity. CONCLUSIONS: The use of a detailed, standardized pain assessment and intervention notation algorithm that incorporates behavioral and physiological indicators may assist healthcare professionals in making relatively accurate assessments of a patient's pain intensity. Further research is needed to determine the specific decision-making processes and criteria that healthcare professionals use to choose doses of analgesics to administer to critically ill patients.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/00003246-199707000-00017

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 231

Metadata

Authors
Puntillo, K. A., Miaskowski, C., Kehrle, K., Stannard, D., Gleeson, S., & Nye, P.
Venue
Critical Care Medicine
Published
1997-07
Volume
25
Issue
7
Pages
1159-1166
ISSN
0090-3493 (ISSN-L)
OpenAlex
W2079492731
Cited by
231
References
1
FWCI
3.31
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Relationship between behavioral and physiological indicators of pain, critical care patients' self-reports of pain, and opioid administration. https://app.cochat.ai/papers/10.1097/00003246-199707000-00017
The paper
Puntillo, K. A., Miaskowski, C., Kehrle, K., Stannard, D., Gleeson, S., & Nye, P. (1997). Relationship between behavioral and physiological indicators of pain, critical care patients' self-reports of pain, and opioid administration. Critical Care Medicine. https://doi.org/10.1097/00003246-199707000-00017

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.