title: Variations in treatment among adult-onset open-angle glaucoma patients.
abstract: OBJECTIVE
  To determine the predictors of treatment for glaucoma and suspect glaucoma in a nationally representative sample of diagnosed persons.
  
  
  METHODS
  Retrospective cohort study of persons enrolled in a large managed care organization.
  
  
  METHODS
  Thirty-five thousand seven hundred fifty-four diagnosed suspects, 5265 diagnosed glaucoma persons, and 2633 individuals coded as having cupping of the optic disc.
  
  
  METHODS
  Linked pharmacy and patient care information were used to examine the predictors of initiating glaucoma treatment in this cohort of persons insured by a single managed care organization. Predictors entered into logistic regression models included diagnostic group (suspect vs. diagnosed), age group, gender, region of the country, provider type at the initial visit (optometrist or ophthalmologist), diagnosis index date divided into 2 periods (1995-1998 and 1999-2001), and health plan enrollment duration after the initial diagnosis.
  
  
  METHODS
  Occurrence of and factors associated with treatment for glaucoma (argon laser trabeculoplasty [ALT], surgery, or topical ocular hypotensives).
  
  
  RESULTS
  A logistic regression model adjusting for glaucoma status, age, region, clinician seen at initial visit, and index date found that women were less likely to undergo treatment (topical ocular hypotensives, ALT, or surgery) than men (odds ratio, 0.76; 95% confidence interval, 0.71-0.80). Factors other than gender that were associated with greater likelihood of treatment were glaucoma diagnosis, older age, region, and longer follow-up.
  
  
  CONCLUSIONS
  We have documented wide variation in treatment among individuals diagnosed as having glaucoma or as glaucoma suspects. Women were 24% less likely to be treated than men, and younger individuals were far less likely to be treated than older ones. Furthermore, treatment varied by region of the country. Understanding the sources of these variations will help in determining how to arrive at better management strategies for individuals with glaucoma and suspect glaucoma.
authors: Dana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins Medical Institutions, Baltimore, Maryland 21287, USA. David.Friedman@jhu.edu
authors: David S
authors: DS
authors: Friedman
authors: Beth
authors: B
authors: Nordstrom
authors: Essy
authors: E
authors: Mozaffari
authors: Harry A
authors: HA
authors: Quigley
mesh_terms: D000328:Adult; D000368:Aged; D000959:Antihypertensive Agents / Q000627:therapeutic use; D015331:Cohort Studies; D005260:Female; D005902:Glaucoma, Open-Angle / Q000175:diagnosis / Q000188:drug therapy* / Q000601:surgery*; D006296:Health Services / Q000706:statistics & numerical data*; D006801:Humans; D007429:Intraocular Pressure; D016015:Logistic Models; D008297:Male; D008329:Managed Care Programs / Q000706:statistics & numerical data*; D008875:Middle Aged; D009798:Ocular Hypertension / Q000175:diagnosis / Q000188:drug therapy / Q000601:surgery; D009898:Optic Disk / Q000473:pathology; D009901:Optic Nerve Diseases / Q000175:diagnosis; D012189:Retrospective Studies; D012737:Sex Factors; D014130:Trabeculectomy / Q000379:methods; D014481:United States
chemical_list: D000959:Antihypertensive Agents