| Literature DB >> 21235763 |
Raquel C Greer1, Neil R Powe, Bernard G Jaar, Misty U Troll, L Ebony Boulware.
Abstract
BACKGROUND: Primary care providers' suboptimal recognition of the severity of chronic kidney disease (CKD) may contribute to untimely referrals of patients with CKD to subspecialty care. It is unknown whether U.S. primary care physicians' use of estimated glomerular filtration rate (eGFR) rather than serum creatinine to estimate CKD severity could improve the timeliness of their subspecialty referral decisions.Entities:
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Year: 2011 PMID: 21235763 PMCID: PMC3033812 DOI: 10.1186/1471-2369-12-1
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Figure 1Hypothetical case scenario. We provided primary care physicians with one of four randomly assigned hypothetical scenarios, which varied on patient race (African American or White) and the presence or absence of diabetes. * Complete blood count includes hemoglobin, hematocrit, platelet count, and white blood cell count. † For the "4 month ago values", the estimated glomerular filtration rate (eGFR) for the White and African American patient was 32 mL/min/1.73m2 and for the "1 week ago" values the eGFR was 28 and 29 mL/min/1.73m2, respectively (using the 4-variable Modification of Diet in Renal Disease Study equation)[20].
Figure 2Visual analog scales for serum creatinine and estimated glomerular filtration rate (eGFR) levels. Physicians were asked to mark on the visual analog scales the serum creatinine level and the eGFR level at which they would recommend a primary care physician refer a patient, like the patient featured in the hypothetical scenario, for subspecialty care.
Primary care physician and scenario characteristics
| Physician characteristics | All N (%) N = 154 |
|---|---|
| Physician Specialty | |
| Internal medicine | 84 (55) |
| Family physician | 70 (45) |
| Years in practice: | |
| ≤ 10 years | 76 (49) |
| >10 years | 78 (51) |
| Practice type: | |
| Academic | 25 (16) |
| Other | 128 (84) |
| Percent clinical time: | |
| <80%, | 23 (15) |
| ≥ 80% | 131 (85) |
| Census region: | |
| Northeast | 40 (26) |
| Midwest | 33 (21) |
| South | 45 (29) |
| West | 36 (23) |
| Aware of referral guidelines | |
| Yes | 49 (32) |
| No | 103 (68) |
| Educational resources: | |
| Conferences | 134 (88) |
| Scientific journals | 144 (95) |
| Other | 78 (53) |
| Guideline organizations: | |
| Nephrology | 46 (29) |
| Internal medicine | 118 (77) |
| USPSTF | 77 (50) |
| Specialty | 101 (66) |
| Clinical scenario: | |
| Patient race: African American | 84 (55) |
| Diabetes | 89 (58) |
Note. Due to missing values, categorical frequencies may not equal column total. For educational resources and guideline organizations, selections were not mutually exclusive.
ZIP code used for census region.
Figure 3Recommended serum creatinine and estimated glomerular filtration rate (eGFR)-based referral levels by primary care providers. Note. Lines and bars represent the range and interquartile range of selected values, respectively. Abbreviations. eGFR, estimated glomerular filtration rate
Recommended serum creatinine and estimated glomerular filtration rate (eGFR)-based referral levels by characteristics of the hypothetical patient
| Median referral level mL/min/1.73m2 | ||||||
|---|---|---|---|---|---|---|
| Creatinine-based eGFR* | p value | eGFR | p value | Absolute difference | p value | |
| Race | <0.001 | 0.47 | 0.03 | |||
| African American | 34 | 54 | 19 | |||
| White | 28 | 55 | 26 | |||
| Diabetes | 0.90 | 0.42 | 0.34 | |||
| Yes | 32 | 60 | 26 | |||
| No | 32 | 50 | 22 | |||
*The recommended median serum creatinine at referral for all versions of the clinical scenario was 2 mg/dL
Percent of primary care physicians with clinically significant improvement in the timing of their subspecialty referral recommendations with the use of estimated glomerular filtration rate (eGFR) by physician and scenario characteristics
| Physician characteristics | ||||
|---|---|---|---|---|
| Unadjusted | p value | p value | ||
| Years in practice: | ||||
| >10 years | 44 | 0.31 | 50 (32-68) | 0.11 |
| ≤ 10 years | 36 | 36 (Ref) | ||
| Practice type: | ||||
| Academic | 56 | 0.07 | 70 (45-87) | 0.01 |
| Other | 37 | 37 (Ref) | ||
| Percent clinical time: | ||||
| <80%, | 26 | 0.15 | 23 (8-49) | 0.13 |
| ≥ 80% | 42 | 42 (Ref) | ||
| Census region: | ||||
| Midwest | 33 | 0.65 | 38 (18-64) | 0.47 |
| South | 38 | 40 (20-64) | 0.56 | |
| West | 39 | 41 (20-66) | 0.60 | |
| Northeast | 48 | 48 (Ref) | ||
| Aware of referral guidelines: | ||||
| Yes | 29 | 0.06 | 29 (15-48) | 0.09 |
| No | 45 | 45 (Ref) | ||
| Clinical scenario: | ||||
| Patient race: | ||||
| White | 57 | <0.001 | 57 (39-73) | <0.001 |
| African American | 25 | 25 (Ref) | ||
| Diabetes | ||||
| Yes | 43 | 0.36 | 42 (26-61) | 0.44 |
| No | 35 | 35 (Ref) | ||
Note. A total of 152 participants with complete data were included in the model
*Clinically significant improvement in subspecialty referral recommendations was defined as present, if primary care physicians selected a serum creatinine-based referral level corresponding to an estimated glomerular filtration rate (eGFR) level of < 30 mL/min/1.73m2, but recommended subspecialty referral at level of ≥ 30 mL/min/1.73m2 with the use of eGFR.
†Adjusted for all variables in the table.