title: Postoperative pain management in elderly patients: correlation between adherence to treatment guidelines and patient satisfaction.
abstract: OBJECTIVE
  To evaluate pain management satisfaction in elderly postoperative patients; to define pain management strategies documented in the medical record (MR) that predict patient satisfaction.
  
  
  METHODS
  Prospective cohort.
  
  
  METHODS
  Eight urban hospitals.
  
  
  METHODS
  Three hundred twenty-two postsurgical patients aged 65 and older.
  
  
  METHODS
  Patients were surveyed regarding satisfaction with pain management in the first 24 hours postsurgery and the survey results summarized in a score. Pain management variables (patient education, pharmacological and nonpharmacological interventions, demographic variables, and surgery and anesthesia information) were abstracted from their MR. The correlation between the satisfaction score and MR variables was assessed using linear regression.
  
  
  RESULTS
  Sixty-two percent of patients experienced severe postoperative pain, yet 87% reported being satisfied with the treatment. The mean satisfaction score+/-standard deviation was 59.3+/-10.8 (range 10.6-84.3; potential range 0-100, higher score=higher satisfaction). MR variables explained 14% of the satisfaction score variation. The worst pain intensity in the first 24 hours postsurgery as documented in the MR was the most powerful predictor of satisfaction. Other predictors associated with satisfaction were younger age, male sex, preoperative education, surgery type (laparotomy/thoracotomy patients were more satisfied than orthopedic patients), shorter recovery room stay, analgesic given through oral route, and morphine (compared with other opioids).
  
  
  CONCLUSIONS
  Pain in elderly surgical patients remains undermanaged. Simple strategies such as emphasizing preoperative education may have a large effect in pain management. This study developed a validated patient satisfaction score and a MR instrument to assist in monitoring pain management quality.
authors.affiliation: Division of Health Care Policy and Research, University of Colorado Health Sciences Center, Denver, Colorado, USA. angela.sauaia@uchsc.edu <angela.sauaia@uchsc.edu>
authors.forename: Angela
authors.initials: A
authors.lastname: Sauaia
authors.forename: Sung-joon
authors.initials: SJ
authors.lastname: Min
authors.forename: Chris
authors.initials: C
authors.lastname: Leber
authors.forename: Kathleen
authors.initials: K
authors.lastname: Erbacher
authors.forename: Fredrick
authors.initials: F
authors.lastname: Abrams
authors.forename: Regina
authors.initials: R
authors.lastname: Fink
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D004282:Documentation; D017558:Elective Surgical Procedures / Q000009:adverse effects; D005260:Female; D019983:Guideline Adherence; D019538:Health Care Surveys; D006801:Humans; D008297:Male; D008499:Medical Records; D006278:Medicare; D010147:Pain Measurement; D010149:Postoperative Pain / Q000209:etiology / Q000628:therapy*; D017060:Patient Satisfaction; D017410:Practice Guidelines as Topic; D011446:Prospective Studies; D011594:Psychometrics