title: Symptom-based framework for assessing quality of HIV care.
abstract: OBJECTIVE
  To evaluate HIV quality of care using a symptom-based, patient-centered framework.
  
  
  METHODS
  An expert panel developed 13 quality indicators for three common symptoms: cough with fever and/or shortness of breath; severe or persistent diarrhea; and significant weight loss. A nationally representative probability sample of HIV-infected adults was interviewed between 1996 and 1997.
  
  
  METHODS
  were asked about the presence and severity of HIV symptoms during the preceding 6 months, and care received. Variation in adherence to the indicators was assessed by symptom type and patient characteristics.
  
  
  RESULTS
  In all, 2864 (71%) patients completed interviews and 920 reported being at least moderately bothered with one of the three symptoms. Of these, 41, 74, and 65% of patients with a symptom of cough, weight loss, or diarrhea, respectively, reported receiving all indicated care. Performance was better for patients with more severe HIV, measured as a CD4 cell count <50 cells/microliter, compared with those with less severe HIV, measured as CD4 cell count >500 cells/microliter (43% versus 60%; P = 0.02). Uninsured patients had worse performance than Medicare patients (45% versus 62%; P = 0.04), but care did not differ by patient's age, gender, ethnicity, HIV risk factor, providers' HIV patient load, or region. Only CD4 count remained significantly associated with performance in the multivariate analyses.
  
  
  CONCLUSIONS
  Symptom-based quality indicators may provide a useful supplement to conventional measures. Patients with HIV reported substantial underuse of services for common, burdensome symptoms. Although adherence to quality indicators was better for patients with more advanced HIV disease, many still received suboptimal care. Vulnerable patient groups generally did not receive worse quality of care, suggesting that symptom-based measures of quality may measure domains that are distinct from those captured by conventional indicators.
authors.affiliation: Department of General Internal Medicine, VA Greater Los Angeles Health System, 11301 Wilshire Boulevard, Los Angeles, CA 90073, USA. sasch@rand.org
authors.forename: Steven M
authors.initials: SM
authors.lastname: Asch
authors.forename: Allen M
authors.initials: AM
authors.lastname: Fremont
authors.forename: Barbara J
authors.initials: BJ
authors.lastname: Turner
authors.forename: Allen
authors.initials: A
authors.lastname: Gifford
authors.forename: J Allen
authors.initials: JA
authors.lastname: McCutchan
authors.forename: W M Christopher
authors.initials: WM
authors.lastname: Mathews
authors.forename: Samuel A
authors.initials: SA
authors.lastname: Bozzette
authors.forename: Martin F
authors.initials: MF
authors.lastname: Shapiro
mesh_terms: D000328:Adult; D016009:Chi-Square Distribution; D003371:Cough / Q000209:etiology; D003967:Diarrhea / Q000209:etiology; D005260:Female; D015658:HIV Infections / Q000150:complications* / Q000523:psychology* / Q000628:therapy; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011785:Quality Assurance, Health Care; D019984:Quality Indicators, Health Care; D014481:United States; D015431:Weight Loss