| Literature DB >> 21103120 |
Tara Lawn1, Praveen Kumar, Bernice Knight, Michael Sharpe, Peter D White.
Abstract
OBJECTIVES: The aim of this study was to examine the accuracy of doctors at diagnosing co-morbid psychiatric disorders in patients with chronic fatigue syndrome (CFS).Entities:
Year: 2010 PMID: 21103120 PMCID: PMC2984352 DOI: 10.1258/shorts.2010.010042
Source DB: PubMed Journal: JRSM Short Rep ISSN: 2042-5333
Figure 1Derivation of study sample
Misdiagnoses and missed diagnoses (n = 135)
| Any psychiatric co-morbidity | Depression | Depression and dysthymia combined | All anxiety disorders combined | |
|---|---|---|---|---|
| False positive | 13 (10%) | 15 (11%) | 11 (8%) | 14 (10%) |
| False negative | 30 (22%) | 19 (14%) | 20 (15%) | 28 (21%) |
| 0.01 | 0.61 | 0.15 | 0.04 | |
| Total disagreement (CI) | 43 (32%) | 34 (25%) | 31 (23%) | 42 (31%) |
| Kappa value (CI) | 0.37 | 0.40 | 0.47 | 0.36 |
| Sensitivity (CI) | 46/76 = 61% (49–71%) | 23/42 = 55% (40–69%) | 27/47 = 57% (43–70%) | 32/60 = 53% |
| Specificity (CI) | 46/59 = 78% (66–87%) | 78/93 = 84% (75–90%) | 77/88 = 88% (79–93%) | 61/75 = 81% (71–88%) |
P values are the probabilities that false positive and negative proportions are different. All kappa values, which measure level of agreement, were significant at p < 0.01
CI = 95% confidence interval
Comparison between specialties and level of training
| Psychiatrists | Non-psychiatrists | Consultants | Non- consultants | |
|---|---|---|---|---|
| False positive | 6 (11% ) | 7 (9%) | 9 (13%) | 4 (6%) |
| False negative | 8 (15%) | 22 (27%) | 14 (20%) | 16 (24%) |
| 0.79 | 0.01 | 0.41 | 0.01 | |
| Total disagreement (CI) | 14 (26%) | 29 (36%) | 23 (33%) | 20 (30%) |
| Kappa value (CI) | 0.47 | 0.31 | 0.34 | 0.41 |
| Sensitivity (CI) | 22/28 = 79% (60–90%) | 24/31 = 77% (60–89%) | 24/33 = 73% (56–85%) | 22/26 = 85% (66–94%) |
| Specificity (CI) | 17/25 = 68% (48–83%) | 29/51 = 57% (43–69%) | 22/36 = 61% (45–75%) | 24/40 = 60% (45–74%) |
P values are the probabilities that false positive and negative proportions are different. All kappa values, which measure level of agreement, were significant at p < 0.01
CI = 95% confidence interval