Pain and satisfaction with pain control in hospitalized medical patients: no such thing as low risk

Arch Intern Med. 2004 Jan 26;164(2):175-80. doi: 10.1001/archinte.164.2.175.

Abstract

Background: Pain is common in many populations of hospitalized patients. It is unknown if any populations of hospitalized patients are at low risk for pain. We studied the prevalence of pain and satisfaction with pain control in a general medicine inpatient service to determine if this population was at low risk for pain.

Methods: We performed a prospective cohort study of 5584 hospitalized patients. Pain and pain control were assessed in a follow-up telephone survey. Predictors of pain were determined through administrative databases and patient survey.

Results: Of the study patients, 59% had pain (28% reported severe, 19% moderate, and 12% mild pain). Among patients with common diagnoses, those with sickle cell crisis were the most likely and those with syncope were the least likely to report significant pain (90% and 34%, respectively). Patient characteristics significantly associated with increased pain included DRG (diagnosis related group) weight (odds ratio [OR], 1.19), Charlson Index score (OR, 1.03), age older than 65 years (OR, 0.65), female sex (OR, 1.17), and education level higher than high school (OR, 1.31). Pain was reported by 28% of patients without high-risk characteristics for pain; and 82.2% of patients were satisfied, 11.1% somewhat satisfied, and 6.7% dissatisfied with their pain treatment.

Conclusions: Pain was common in the study population and more patients rated their pain as severe than as moderate or mild. Pain was dispersed among diagnoses. Although most patients thought that their pain was adequately controlled, 18% of patients with pain (10% of all patients) reported that their pain was inadequately controlled. Although patient characteristics were associated with pain or dissatisfaction with pain control, they were weak predictors and significant pain was common even in populations at the lowest-risk for pain.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Age Factors
  • Aged
  • Black People / statistics & numerical data
  • Black or African American
  • Diagnosis-Related Groups / statistics & numerical data
  • Educational Status
  • Female
  • Hospitalization*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Pain / epidemiology
  • Pain / prevention & control*
  • Patient Satisfaction*
  • Predictive Value of Tests
  • Prevalence
  • Prospective Studies
  • Risk Assessment
  • Severity of Illness Index
  • Sex Factors
  • Surveys and Questionnaires
  • United States