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Research

Association between change in physician remuneration and use of peritoneal dialysis: a population-based cohort analysis

Aaron J. Trachtenberg, Amity E. Quinn, Zhihai Ma, Scott Klarenbach, Brenda Hemmelgarn, Marcello Tonelli, Peter Faris, Robert Weaver, Flora Au, Jianguo Zhang and Braden Manns
February 18, 2020 8 (1) E96-E104; DOI: https://doi.org/10.9778/cmajo.20190132
Aaron J. Trachtenberg
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Amity E. Quinn
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Zhihai Ma
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Scott Klarenbach
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Brenda Hemmelgarn
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Marcello Tonelli
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Peter Faris
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Robert Weaver
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Flora Au
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Jianguo Zhang
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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Braden Manns
Department of Internal Medicine (Trachtenberg), University of Manitoba, Winnipeg, Man.; Departments of Community Health Sciences (Quinn, Ma, Hemmelgarn, Tonelli, Faris, Weaver, Au, Zhang, Manns) and Medicine (Hemmelgarn, Tonelli, Manns), and Libin Cardiovascular Institute of Alberta and O’Brien Institute for Public Health (Hemmelgarn, Tonelli, Manns), Cumming School of Medicine, University of Calgary, Calgary, Alta.; Department of Medicine (Klarenbach), University of Alberta, Edmonton, Alta.; Alberta Health Services (Faris), Calgary, Alta.
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  • Figure 1:
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    Figure 1:

    Division of the entire study period for analysis purposes. Fee change 1 = introduction of weekly billing code for patients receiving peritoneal dialysis at $32.16. Fee change 2 = increase in weekly billing code for patients receiving peritoneal dialysis from $49.15 to $70.94. Fee change 3 = introduction of weekly billing code for all dialysis modalities at $135. Note that, during the exclusion period, the weekly billing code for patients receiving peritoneal dialysis was increased from $32.16 to $49.15, but we did not analyze this increase owing to the simultaneous expansion of the salaried program. *Patients who started dialysis during this period were excluded.

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    Figure 2:

    Flow diagram showing participant selection.

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    Figure 3:

    Proportion of patients starting long-term dialysis who were receiving peritoneal dialysis at 90 days in each month. For illustrative purposes, separate dashed regression lines for the fee-for-service and salaried groups before and after each fee change are displayed on top of the raw data.

Tables

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    Table 1:

    Characteristics of patients in the fee-for-service and salaried groups during study period 1 (Jan. 1, 2001–Mar. 31, 2004)*

    CharacteristicFee-for-service, no. (%) of patients†Salaried, no. (%) of patients†
    Before fee change 1
    n = 197
    After fee change 1
    n = 325
    Before fee change 1
    n = 124
    After fee change 1
    n = 233
    No. of months15241524
    Age, yr, mean ± SD‡62.6 ± 15.964.6 ± 15.762.7 ± 15.859.5 ± 16.1
    Female sex88 (44.7)154 (47.4)51 (41.1)98 (42.1)
    Income quintile§
     1 (lowest)53 (26.9)72 (22.2)34 (27.4)64 (27.5)
     236 (18.3)73 (22.5)27 (21.8)41 (17.6)
     333 (16.8)60 (18.5)17 (13.7)49 (21.0)
     430 (15.2)46 (14.2)25 (20.2)38 (16.3)
     5 (highest)38 (19.3)54 (16.6)14 (11.3)28 (12.0)
     Unknown¶7 (3.6)20 (6.2)7 (5.6)13 (5.6)
    Comorbidities
     Alcohol use disorder14 (7.1)15 (4.6)3 (2.4)14 (6.0)
     Cancer, nonmetastatic14 (7.1)16 (4.9)5 (4.0)11 (4.7)
     Chronic heart failure‡79 (40.1)148 (45.5)40 (32.3)82 (35.2)
     Chronic pulmonary disease‡45 (22.8)113 (34.8)**37 (29.8)62 (26.6)
     Dementia4 (2.0)10 (3.1)4 (3.2)7 (3.0)
     Diabetes115 (58.4)183 (56.3)74 (59.7)130 (55.8)
     Myocardial infarction15 (7.6)31 (9.5)10 (8.1)21 (9.0)
     Peripheral vascular disease21 (10.7)38 (11.7)6 (4.8)19 (8.2)
     Stroke/transient ischemic attack36 (18.3)71 (21.8)24 (19.4)40 (17.2)
    Dialysis initiation as inpatient62 (31.5)88 (27.1)39 (31.4)64 (27.5)
    Distance between patient postal code and nearest hemodialysis facility, kmࠠ
     < 50166 (84.3)290 (89.2)102 (82.3)192 (82.4)
     50–15031 (15.7)33 (10.2)17 (13.7)29 (12.4)
     > 1500 (0.0)2 (0.6)5 (4.0)12 (5.2)
    Distance between patient postal code and nearest peritoneal dialysis training centre, kmࠠ**
     < 50134 (68.0)249 (76.6)80 (64.5)138 (59.2)
     50–15045 (22.8)64 (19.7)18 (14.5)41 (17.6)
     > 15018 (9.1)12 (3.7)26 (21.0)54 (23.2)
    • Note: SD = standard deviation.

    • ↵* All covariates defined based on the date of dialysis initiation. χ2 test was used for categorical variables (Fisher exact test when ≥ 20% of cells had an expected value < 5), and 2-sided 2-sample t test for continuous variables.

    • ↵† Except where noted otherwise.

    • ↵‡ Significant at p < 0.05 for difference between fee-for-service and salaried groups after policy change.

    • ↵§ Estimated with the use of the postal code.

    • ↵¶ These patients had postal codes without neighbourhood income data available.

    • ↵** Significant at p < 0.05 for within-group difference before and after fee change.

    • ↵†† Significant at p < 0.05 for difference between fee-for-service and salaried groups before policy change.

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    Table 2:

    Characteristics of patients in the fee-for-service and salaried groups during study period 2 (Apr. 1, 2005–Dec. 31, 2014)*

    CharacteristicFee-for-service, no. (%) of patients†Salaried, no. (%) of patients†
    Before fee change 2
    n = 316
    Between fee changes 2 and 3
    n = 335
    After fee change 3
    n = 1065
    Before fee change 2
    n = 279
    Between fee changes 2 and 3
    n = 236
    After fee change 3
    n = 889
    No. of months242469242469
    Age, yr, mean ± SD‡64.1 ± 15.562.91 ± 15.763.4 ± 14.663.1 ± 15.163.2 ± 14.161.3 ± 15.6
    Female sex132 (41.8)116 (34.6)424 (39.8)111 (39.8)84 (35.6)333 (37.5)
    Income quintile§¶
     1 (lowest)85 (26.9)87 (26.0)300 (28.2)80 (28.7)56 (23.7)238 (26.8)
     273 (23.1)78 (23.3)235 (22.1)60 (21.5)57 (24.2)208 (23.4)
     362 (19.6)66 (19.7)187 (17.6)41 (14.7)42 (17.8)153 (17.2)
     453 (16.8)60 (17.9)154 (14.5)53 (19.0)41 (17.4)133 (15.0)
     5 (highest)43 (13.6)42 (12.5)135 (12.7)45 (16.1)36 (15.2)124 (13.9)
     Unknown**0 (0.0)2 (0.6)54 (5.1)0 (0.0)4 (1.7)33 (3.7)
    Comorbidities
     Alcohol use disorder19 (6.0)22 (6.6)69 (6.5)113 (40.5)21 (8.9)68 (7.6)
     Cancer, nonmetastatic14 (4.4)15 (4.5)63 (5.9)11 (3.9)16 (6.8)65 (7.3)
     Chronic heart failure††150 (47.5)147 (43.9)447 (42.0)100 (35.8)93 (39.4)351 (39.5)
     Chronic pulmonary disease101 (32.0)105 (31.3)328 (30.8)85 (30.5)96 (40.7)265 (29.8)
     Dementia14 (4.4)15 (4.5)43 (4.0)6 (2.2)8 (3.4)38 (4.3)
     Diabetes185 (58.5)201 (60.0)760 (71.4)¶151 (54.1)139 (58.9)565 (63.6)¶
     Myocardial infarction42 (13.3)53 (15.8)167 (15.7)33 (11.8)46 (19.5)140 (15.7)
     Peripheral vascular disease26 (8.2)34 (10.1)108 (10.1)24 (8.6)28 (11.9)105 (11.8)
     Stroke/transient ischemic attack69 (21.8)65 (19.4)264 (24.8)55 (19.7)52 (22.0)211 (23.7)
    Dialysis initiation as inpatientࠠ126 (39.9)130 (38.8)440 (41.3)89 (31.9)81 (34.3)320 (36.0)
    Distance between patient postal code and nearest hemodialysis facility, km‡
     < 50286 (90.5)299 (89.2)957 (89.9)239 (85.7)209 (88.6)776 (87.3)
     50–15028 (8.9)29 (8.7)89 (8.4)37 (13.3)23 (9.7)102 (11.5)
     > 1502 (0.6)7 (2.1)19 (1.8)3 (1.1)4 (1.7)11 (1.2)
    Distance between patient postal code and nearest peritoneal dialysis training centre, km‡††‡‡¶
     < 50229 (72.5)216 (64.5)790 (74.2)199 (71.3)164 (69.5)645 (72.6)
     50–15066 (20.9)84 (25.1)193 (18.1)34 (12.2)35 (14.8)99 (11.1)
     > 15021 (6.6)35 (10.4)82 (7.7)46 (16.5)37 (15.7)145 (16.3)
    • Note: SD = standard deviation.

    • ↵* All covariates defined based on the date of dialysis initiation. χ2 test used for categorical variables (Fisher exact test when ≥ 20% of the cells had an expected value < 5); for continuous variables, analysis of variance when comparing time intervals within group, and 2-sided 2-sample t test when comparing between groups.

    • ↵† Except where noted otherwise.

    • ↵‡ Significant at p < 0.05 for difference between fee-for-service and salaried groups after policy change 2.

    • ↵§ Estimated with the use of the postal code.

    • ↵¶ Significant at p < 0.05 for within-group difference between the 3 time periods.

    • ↵** These patients had postal codes without neighbourhood income data available.

    • ↵†† Significant at p < 0.05 for difference between fee-for-service and salaried groups before policy change 1.

    • ↵‡‡ Significant at p < 0.05 for difference between fee-for-service and salaried groups in the period between policy changes 1 and 2.

    • View popup
    Table 3:

    Results of individual patient-level analysis of peritoneal dialysis use 90 days after initiation of long-term dialysis before and after fee changes*

    Model†ORDifferences-in-differences estimator (95% CI)‡
    Fee-for-service post–preSalaried post–pre
    Fee change 1 (Apr. 1, 2002)
    Unadjusted0.811.120.72 (0.35–1.48)
    Adjusted§0.830.940.89 (0.44–1.81)
    Fee change 2 (Apr. 1, 2007)
    Unadjusted1.100.881.24 (0.86–1.80)
    Adjusted§1.030.891.15 (0.73–1.83)
    Fee change 3 (Apr. 1, 2009)
    Unadjusted1.170.901.31 (0.87–1.80)
    Adjusted§1.310.871.52 (0.96–2.40)
    • Note: CI = confidence interval, OR = odds ratio.

    • ↵* The same subset of data served for the periods after fee change 2 and before fee change 3.

    • ↵† Fee change 1: weekly fee-for-service remuneration for peritoneal dialysis introduced at $32.16; fee change 2: weekly fee-for-service remuneration for peritoneal dialysis increased from $49.15 to $70.94; fee change 3: weekly fee-for-service remuneration for all patients receiving dialysis $135.

    • ↵‡ The differences-in-differences estimator is the odds ratio for peritoneal dialysis use in the fee-for-service group after versus before a fee change, divided by the odds ratio for peritoneal dialysis use in the salaried group after versus before a fee change.

    • ↵§ Adjusted model controlled for patient-level covariates shown in Tables 1 and 2.

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Association between change in physician remuneration and use of peritoneal dialysis: a population-based cohort analysis
Aaron J. Trachtenberg, Amity E. Quinn, Zhihai Ma, Scott Klarenbach, Brenda Hemmelgarn, Marcello Tonelli, Peter Faris, Robert Weaver, Flora Au, Jianguo Zhang, Braden Manns
Jan 2020, 8 (1) E96-E104; DOI: 10.9778/cmajo.20190132

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Association between change in physician remuneration and use of peritoneal dialysis: a population-based cohort analysis
Aaron J. Trachtenberg, Amity E. Quinn, Zhihai Ma, Scott Klarenbach, Brenda Hemmelgarn, Marcello Tonelli, Peter Faris, Robert Weaver, Flora Au, Jianguo Zhang, Braden Manns
Jan 2020, 8 (1) E96-E104; DOI: 10.9778/cmajo.20190132
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