| Literature DB >> 22142369 |
Nathan Allen1, Daniel Schwartz, Paul Komenda, Robert P Pauly, Deborah Zimmerman, Gemini Tanna, Jeffery Schiff, Claudio Rigatto, Manish M Sood.
Abstract
BACKGROUND: The purpose of our study was to determine characteristics that influence the utilization of non-conventional hemodialysis (NCHD) therapies and its subtypes (nocturnal (NHD), short daily (SDHD), long conventional (LCHD) and conventional hemodialysis (CHD) as well as provider attitudes regarding the evidence for NCHD use.Entities:
Mesh:
Year: 2011 PMID: 22142369 PMCID: PMC3241205 DOI: 10.1186/1471-2369-12-66
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Figure 1Relationship between Non-conventional hemodialysis and a) National health care expenditure and b) Number of ESRD patients per centre. Adjusted for academic centre, training, type of reimbursement, country's health care expenditure.
Characteristics of the study cohort stratified by non-conventional hemodialysis (NCHD) and conventional hemodialysis (CHD) only presented as proportions with actual counts in parentheses.
| Characteristic | Total | NCHD | CHD only | P |
|---|---|---|---|---|
| 62.4(194) | 37.6(117) | |||
| Staff Physician | 83.8 (259) | 85.1(165) | 81.7(94) | 0.5 |
| Fellow | 9.6 (30) | 7.7(15) | 13(15) | 0.2 |
| Resident | 6.5 (20) | 7.2(14) | 5.2(6) | 0.6 |
| Canada | 11.9 (37) | 16.5(32) | 4.3(5) | 0.001 |
| USA | 26.7(83) | 32(62) | 17.9(21) | 0.008 |
| Europe | 21.5 (67) | 22.7(44) | 19.7(23) | 0.6 |
| Australia/New Zealand | 6.1 (19) | 8.8(17) | 1.7(2) | 0.01 |
| Africa/Middle East | 10 (31) | 8.2(16) | 12.8(15) | 0.2 |
| South America | 12.9 (40) | 7.2(14) | 22.2(26) | < 0.001 |
| Asia | 10.9 (34) | 4.6(9) | 21.4(25) | < 0.001 |
| 57.6 (179) | 61.9(120) | 50.4(33) | 0.06 | |
| 58.8 (181) | 66.1(127) | 46.6(54) | 0.001 | |
| 91.3 (284) | 92.3(179) | 89.7(105) | 0.5 | |
| < 100 k | 8.4 (26) | 6.2(12) | 12(14) | 0.09 |
| 100-500 k | 37.0 (115) | 35.6(69) | 39.3(46) | 0.5 |
| 500-1 million | 28.3 (88) | 32.5(63) | 21.4(25) | 0.04 |
| 1-5 million | 21.5 (67) | 21.1(41) | 22.2(26) | 0.9 |
| > 5 million | 4.7 (18) | 4.6(9) | 5.1(6) | 1.0 |
| 1-5 years | 29.3 (91) | 29.4(57) | 29.1(34) | 1.0 |
| 6-10 years | 22.2(69) | 25.3(49) | 17.1(20) | 0.1 |
| 11-15 years | 13.5(42) | 13.4(26) | 13.7(16) | 1.0 |
| 16-20 | 9.6(30) | 13.7(16) | 13.4(26) | 0.8 |
| > 20 | 25.4 (79) | 22.7(44) | 29.9(35) | 0.1 |
| Patient primary payer | 23.8(74) | 23.3(45) | 24.8(29) | 0.8 |
| Government | 85.5(266) | 90.7(176) | 76.8(90) | 0.001 |
| Private insurance | 32.8(102) | 34.5(67) | 29.9(35) | 0.5 |
| 3986 (6703) | 4409(3418) | 663(3619) | < 0.001 | |
| 8.9(9) | 10.1(7.3) | 8(5.5) | < 0.001 | |
| 150(220) | 200(240) | 108(138) | < 0.001 | |
Characteristics of the study cohort stratified by nocturnal (NHD), short daily (SDHD), long conventional (LCHD) and conventional hemodialysis (CHD) prescribers presented as proportions with actual counts in parentheses.
| Characteristic | NHD | SDHD | LCHD | CHD only |
|---|---|---|---|---|
| 26.7(83) | 34.4(107) | 26(81) | 37.6(117) | |
| Staff Physician | 85.5(71) | 84.1(90) | 81.5(66) | 81.7(94) |
| Fellow | 10.8(9) | 8.4(9) | 12.3(10) | 13(15) |
| Resident | 3.6(3) | 7.5(8) | 6.2(5) | 5.2(6) |
| Canada | 27.7(23) | 19.6(21) | 6.2(5) | 4.3(5) |
| USA | 31.3(26) | 35.5(38) | 23.5(19) | 17.9(21) |
| Europe | 16.9(14) | 23.4(25) | 29.6(24) | 19.7(23) |
| Australia/New Zealand | 14.5(12) | 7.5(8) | 8.6(7) | 1.7(2) |
| Africa/Middle East | 3.6(3) | 4.7(5) | 12.3(10) | 12.8(15) |
| South America | 2.4(2) | 6.5(7) | 11.1(9) | 22.2(26) |
| Asia | 3.6(3) | 2.8(3) | 8.6(7) | 21.4(25) |
| 63.9(53) | 61.7(66) | 58(47) | 50.4(33) | |
| 64.6(53) | 68.9(73) | 67.5(54) | 46.6(54) | |
| 94(78) | 94.4(101) | 97.5(79) | 89.7(105) | |
| < 100 k | 2.4(2) | 0(0) | 2.5(2) | 12(14) |
| 100-500 k | 39.8(33) | 39.3(42) | 37(30) | 39.3(46) |
| 500-1 million | 32.5(27) | 34.6(37) | 28.4(23) | 21.4(25) |
| 1-5 million | 22.9(19) | 22.4(24) | 29.6(24) | 22.2(26) |
| > 5 million | 2.4(2) | 3.7(4) | 2.5(2) | 5.1(6) |
| 1-5 years | 24.1(20) | 32.7(35) | 21(17) | 29.1(34) |
| 6-10 years | 27.7(23) | 25.2(27) | 23.5(19) | 17.1(20) |
| 11-15 years | 21.7(18) | 11.2(12) | 16(13) | 13.7(16) |
| 16-20 | 8.4(7) | 7.5(8) | 13.6(11) | 13.4(26) |
| > 20 | 18.1(15) | 23.4(25) | 25.9(21) | 29.9(35) |
| Patient primary payer | 21.7(18) | 19.6(21) | 24.7(20) | 24.8(29) |
| Government | 91.6(76) | 88.8(95) | 82.7(67) | 76.8(90) |
| Private insurance | 38.6(32) | 35.5(38) | 34.6(28) | 29.9(35) |
| 4409 (3299) | 4409(3418) | 3867(6262) | 663(3619) | |
| 10.1(6.8) | 10.1(7.3) | 8.9(8.1) | 8(5.5) | |
| 242(275) | 240(250) | 200(254) | 108(138) | |
Characteristics associated with non-conventional hemodialysis (NCHD) usage in a multivariate logistic regression model.
| Characteristic | Odds Ratio | 95% CI | P |
|---|---|---|---|
| 2.66 | 1.11-6.40 | 0.03 | |
| 1.29 | 0.61-2.71 | 0.5 | |
| 1.00 | 0.47-2.09 | 1.0 | |
| 2.47 | 1.37-4, 43 | 0.003 | |
| 2.28 | 1.25-4.16 | 0.007 | |
| 1.03 | 1.01-1.04 | 0.002 | |
| 1.0 | 1.0-1.0 | < 0.001 | |
Health expenditure is in US dollars
Characteristics associated with nocturnal, short-daily and long conventional hemodialysis usage by multivariate logistic regression.
| Characteristic | Odds Ratio | 95% CI | P |
|---|---|---|---|
| Number of ESRD patients at centre (per 10 patient increase) | 1.03 | 1.01-1.04 | < 0.001 |
| National health care expenditure | 1.00 | 1.00-1.00 | < 0.001 |
| Practice at an academic centre | 1.77 | 0.97-3.22 | 0.06 |
| Number of ESRD patients at centre (per 10 patient increase) | 1.02 | 1.01-1.04 | < 0.001 |
| National health care expenditure | 1.0 | 1.0-1.0 | < 0.001 |
| Number of ESRD patients at centre (per 10 patient increase) | 1.01 | 1.0-1.02 | 0.08 |
Health expenditure is in US dollars
Figure 2Physicians attitudes towards the evidence for non-conventional hemodialysis stratified by use or non-use.
Figure 3Commonly cited indications for initiation of non-conventional hemodialysis among physicians.
Figure 4Commonly cited barriers to non-conventional hemodialysis usage among users and non-users.