To Know Another's Pain: A Meta-analysis of Caregivers' and Healthcare Providers' Pain Assessment Accuracy

Ann Behav Med. 2018 Jul 13;52(8):662-685. doi: 10.1093/abm/kax036.

Abstract

Background: Acute and chronic pain affects millions of adults yet it is often inadequately assessed and treated.

Purpose: The purpose of the present meta-analysis was to examine the overall level of pain assessment accuracy among caregivers and providers and identify patient, observer, and assessment level factors that moderate pain assessment accuracy.

Methods: A systematic literature search was conducted in PubMed and PsycINFO to identify studies addressing providers' pain assessment accuracy, or studies that compared patients' self-report of pain with observers' (healthcare providers, caregivers, and strangers) assessment of pain. We present two separate meta-analyses examining the overall effect of under-/overestimation of pain and correlational pain assessment accuracy.

Results: Seventy-six articles meeting inclusion criteria yielded 94 independent effect sizes for the correlational accuracy meta-analysis. Ninety articles yielded 103 independent effect sizes for the paired comparison meta-analysis. The correlational pain assessment meta-analysis showed that in general, observers were significantly better than chance when assessing pain; however, the paired comparison meta-analysis showed that observers significantly underestimated patients' pain. Patient's age and gender, pain type, and provider type moderated these effects.

Conclusions: Results suggest that certain healthcare providers and caregivers need training to more accurately assess patient pain and that there are particular groups of patients who may be at a greater risk for having their pain inaccurately assessed.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Caregivers*
  • Data Accuracy*
  • Health Personnel*
  • Humans
  • Pain Measurement / statistics & numerical data*