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M Riegger

Publications and source records attributed to M Riegger.

4 recordsLinked to original sources

Diagnostic judgments of nurse practitioners providing primary gynecologic care: a quantitative analysis.

OBJECTIVES: To determine the accuracy of experienced nurse practitioners' judgments of the probability of chlamydial infection of the cervix, to identify the clinical factors ("cues") related to the judgments, and to discern likely sources of judgment error. DESIGN: Cross-sectional study with prospective data collection. SETTING: Urban hospital-based clinic. PATIENTS: 492 nonpregnant women receiving primary gynecologic care. INTERVENTIONS: Four nurse practitioners recorded clinical data, tested women for chlamydial infection, and judged the probability of chlamydial infection using six categories: less than 1%, 1-4%, 5-9%, 10-24%, 25-50%, and greater than 50%. MEASUREMENTS AND MAIN RESULTS: Chlamydial infection was detected by immunofluorescent assay in 31 (6%) of the 492 women. Although the median probability judgment was 5-9%, judgments were only weakly related (p = 0.08) to actual rates of infection. In a multivariate analysis, eight clinical cues were independently (p less than 0.05) related to nurse practitioners' probability judgments: age less than 20 years; past chlamydial or gonococcal infection; new sex partner; partner with suspected genital infection; genito-urinary symptoms; cervicitis, purulent vaginal discharge; and malodorous vaginal discharge. A linear model based on the eight cues, weighted according to their regression coefficients, predicted chlamydial infection more accurately than did the nurse practitioners' actual judgments (ROC curve areas 0.69 vs. 0.58, respectively; p less than 0.05). However, only two of the eight cues (age less than 20 years and purulent vaginal discharge) were actually related to chlamydial infection in a second multivariate model; this model bad accuracy similar to that of an empirically derived prediction rule (ROC curve areas 0.77 and 0.80, p = 0.27). CONCLUSIONS: Nurse practitioners were often inaccurate in their diagnostic judgments. Our analyses suggest that this inaccuracy stemmed from both the inconsistent use of clinical cues and the use of cues that were not related to chlamydial infection. Therefore, interventions such as algorithms that promote consistency and accuracy in diagnostic use of relevant cues would be likely to improve their diagnostic judgments.

Adult↗

A new diagnostic index for predicting cervical infection with either Chlamydia trachomatis or Neisseria gonorrhoeae.

OBJECTIVE: To develop and test a diagnostic index for estimating the probability of cervical infection with either Chlamydia trachomatis or Neisseria gonorrhoeae. DESIGN: Prospective, cross-sectional study in two phases: 1) to develop a diagnostic index based on independent predictors of cervical infection; 2) to test the index. SETTINGS: A hospital-based clinic and a student health service. PATIENTS: Development phase: 190 nonpregnant women seen in the gynecology clinic; testing phase: 588 women seen in the gynecology clinic (n = 372) or the student health service (n = 216). INTERVENTIONS: Experienced clinicians recorded historical, physical, and microscopic findings on standard forms and tested women for chlamydial and gonococcal infections. RESULTS: Three independent predictors of cervical infection were identified and weighted: age (two points if less than 20 years and one point if 20-29 years); a new sex partner or one suspected of having a genital infection (one point); purulent vaginal discharge (one point). In the testing groups, cervical infection was present in none of 62 women with no points, seven of 269 (3%) with one point, 14 of 188 (7%) with two points, and 19 of 69 (28%) with three or four points (p less than 0.001). The index estimated the probability of infection more accurately (p less than 0.01) than did clinicians, performed well in each site, and remained accurate when C. trachomatis and N. gonorrhoeae were considered separately. CONCLUSION: The diagnostic index accurately estimates the probability of cervical infection with either C. trachomatis or N. gonorrhoeae and may be useful in selecting women for definitive diagnostic testing.

Adult↗