| Literature DB >> 27783702 |
Tsai-Ling Liu1,2, A Sidney Barritt3, Morris Weinberger1,4, John E Paul1, Bruce Fried1, Justin G Trogdon1.
Abstract
BACKGROUND: Increasingly, patients with multiple chronic conditions are being managed in patient-centered medical homes (PCMH) that coordinate primary and specialty care. However, little is known about the types of providers treating complex patients with diabetes and compensated cirrhosis.Entities:
Mesh:
Year: 2016 PMID: 27783702 PMCID: PMC5082637 DOI: 10.1371/journal.pone.0165574
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Patient flow for selecting dually diagnosed patients.
Descriptive distribution of patients who were dually diagnosed with compensated cirrhosis and diabetes by physician mix category, MarketScan 2000–2013.
| Total (n = 22,516) | PCP with no GI/ENDO (n = 8,717) | GI/ENDO with no PCP (n = 1,078) | PCP and GI/ENDO (n = 12,110) | Other physician (n = 611) | |
|---|---|---|---|---|---|
| Total dual diagnosed patients (%) | 38.7 | 4.8 | 53.8 | 2.7 | |
| Female (%) | 46.0 | 43.3 | 38.2 | 49.0 | 39.8 |
| Age group (%) | |||||
| Under 40 | 3.5 | 3.9 | 4.3 | 3.1 | 3.6 |
| 40–44 | 4.6 | 4.9 | 4.4 | 4.3 | 4.4 |
| 45–49 | 9.3 | 9.5 | 10.9 | 9.0 | 10.8 |
| 50–54 | 16.6 | 15.2 | 16.4 | 17.7 | 14.7 |
| 55–59 | 21.6 | 19.4 | 22.2 | 23.2 | 20.0 |
| 60–64 | 18.8 | 18.7 | 21.4 | 18.5 | 23.1 |
| 65+ | 25.6 | 28.5 | 20.4 | 24.1 | 23.4 |
| Region (%) | |||||
| Northeast | 13.9 | 12.3 | 17.4 | 14.7 | 14.7 |
| Midwest | 28.3 | 32.8 | 18.1 | 26.4 | 21.4 |
| South | 51.5 | 47.1 | 60.2 | 53.6 | 58.4 |
| West | 6.2 | 7.7 | 4.3 | 5.3 | 5.4 |
| Rural area (%) | 38.7 | 4.8 | 53.8 | 2.7 | |
| Urban area (%) | 46.0 | 43.3 | 38.2 | 49.0 | 39.8 |
| Elixhauser Comorbidity Index (mean ± SD) | 1.9 ± 1.7 | 2.0 ± 1.8 | 1.7 ± 1.6 | 1.8 ± 1.7 | 2.2 ± 1.8 |
| Median income in 10K (mean ± SD) | 5.1 ± 1.3 | 5.0 ± 1.2 | 5.2 ± 1.3 | 5.1 ± 1.3 | 5.0 ± 1.2 |
| Observed length in months (mean ± SD) | 18.7 ± 21.5 | 16.2 ± 19.7 | 5.5 ± 7.7 | 22.3 ± 23.0 | 5.4 ± 8.6 |
| Number of physician visits (mean ± SD) | 51.1 ± 77.4 | 41.7 ± 67.3 | 12.2 ± 33.0 | 63.6 ± 85.4 | 8.9 ± 23.2 |
| Healthcare expenditure in 1K | 4.2 ± 15.9 | 3.3 ± 9.0 | 1.1 ± 2.8 | 5.2 ± 20.2 | 1.1 ± 4.4 |
*Healthcare expenditures were adjusted by inflation using the Medical Care Consumer Price Index in 2013 dollars.
Fig 2Distribution of physician mix categories among dually diagnosed patients.
Distribution of total physician encounters by specialties, 2000–2013.
| n | % | |
|---|---|---|
| Total | 1,151,542 | |
| Primary Care Physician | 657,604 | 57.1 |
| Cardiovascular Dis/Cardiology | 73,235 | 6.4 |
| Gastroenterology | 68,370 | 5.9 |
| Oncology | 54,480 | 4.7 |
| Ophthalmology | 38,715 | 3.4 |
| Endocrinology & Metabolism | 35,196 | 3.1 |
| Hematology | 30,887 | 2.7 |
| Emergency Medicine | 28,512 | 2.5 |
| Dermatology | 22,517 | 2.0 |
| Urology | 21,299 | 1.8 |
| Rheumatology | 16,158 | 1.4 |
| Pulmonary Disease | 15,111 | 1.3 |
| Neurology | 13,393 | 1.2 |
| Nephrology | 13,326 | 1.2 |
| Physical Medicine & Rehab | 12,842 | 1.1 |
| Otolaryngology | 11,612 | 1.0 |
| Psychiatry | 10,271 | 0.9 |
| Infectious Disease | 8,216 | 0.7 |
| Allergy & Immunology | 6,976 | 0.6 |
| Hospitalist | 2,923 | 0.3 |
| Pediatrician (NEC) | 2,296 | 0.2 |
| Critical Care Medicine | 2,209 | 0.2 |
| Plastic/Maxillofacial Surgery | 2,176 | 0.2 |
| Osteopathic Medicine | 1,994 | 0.2 |
| Preventative Medicine | 354 | 0.0 |
| Proctology | 263 | 0.0 |
| Pediatric Specialist (NEC) | 183 | 0.0 |
| Pediatric Orthopaedics | 178 | 0.0 |
| Neonatal-Perinatal Medicine | 105 | 0.0 |
| Sports Medicine (Pediatrics) | 59 | 0.0 |
| Palliative Medicine | 45 | 0.0 |
| Genetics | 34 | 0.0 |
| Pediatric Urology | 3 | 0.0 |
Fig 3Average number of annual health care utilization among dually diagnosed patients, by physician mix category.
Fig 4Average age and number of comorbidities by physician mix categories by year.
Fig 5Average number of annual visits to physician specialties among dually diagnosed patients, by physician mix category.
Marginal effects on probability and 95% confidence interval of visiting different physician mix categories using multinomial probit model.
| PCP with no GI/ENDO | GI/ENDO with no PCP | PCP and GI/ENDO | Neither PCP nor GI/ENDO | |
|---|---|---|---|---|
| Physician density (per 100K) | ||||
| PCP | 0.0009 | -0.0002 | -0.0006 | -0.0001 |
| GI/ENDO | -0.0269 | 0.0071 | 0.0163 | 0.0036 |
| Neither PCP nor GI/ENDO | 0.0015 | -0.0001 | -0.0013 | -0.0001 |
| Female | -0.0474 | -0.0146 | 0.0692 | -0.0072 |
| Age group | ||||
| Under 40 | ||||
| 40–44 | -0.0176 | -0.0121 | 0.0325 | -0.0028 |
| 45–49 | -0.0431 | -0.0028 | 0.0440 | 0.0019 |
| 50–54 | -0.0858 | -0.0098 | 0.1004 | -0.0048 |
| 55–59 | -0.0940 | -0.0078 | 0.1058 | -0.0039 |
| 60–64 | -0.0590 | -0.0011 | 0.0566 | 0.0036 |
| 65+ | -0.0228 | -0.0152 | 0.0429 | -0.0048 |
| Region | ||||
| Northeast | ||||
| Midwest | 0.0605 | -0.0137 | -0.0419 | -0.0050 |
| South | -0.0168 | 0.0096 | 0.0042 | 0.0030 |
| West | 0.0936 | -0.0105 | -0.0818 | -0.0013 |
| Rural area | 0.0108 | -0.0146 | 0.0072 | -0.0034 |
| Number of comorbidities | 0.0132 | -0.0032 | -0.0131 | 0.0031 |
| Median income in 10K | -0.0188 | 0.0017 | 0.0191 | -0.0020 |
*P < 0.05
**P < 0.01
***P < 0.001