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The influence of Breast Cancer Pay for Performance Initiatives on breast cancer survival and performance measures:a pilot study in Taiwan
Raymond NC Kuo, PhD Candidate; Mei-Shu Lai, PhD;
Kuo-Piao Chung, PhD
Institute of Health Care Organization Administration,College of Public Health,
National Taiwan University
Presenter Disclosures
(1) The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months:
Raymond NC Kuo
“No relationships to disclose”
Background
National health insurance in Taiwan
National Health Insurance program was established in 1995
Fee-for-service and case payment under the global budget payment scheme
No gate-keeper system for outpatient visits Patients are free to choose care providers for
every visit High satisfaction rate (over 75% satisfied) High service volumes in outpatient department
in most hospitals Closed-staff system for hospitals
Comprehensive benefit package
• Inpatient care• Outpatient care• Laboratory tests (combined within
In/Outpatient care)• Prescription drugs and certain OTC drugs• Dental services• Traditional Chinese medicine• Day care for the mentally illness• Home care
P4P for Breast cancer care Started in 2001 Hospitals with more than 100 incident cases annually
are eligible to participate in Hospitals are ‘voluntary’ to join-in P4p cases are reimbursed on a case-basis
(higher financial incentive than FFS cases) Hospitals which achieved goals on stage-specific
survival rate could earn extra bonus No penalty for low performance
Stage-specific survival rate for
annual bonus Year of survival
Pathology staging 1st 2nd 3rd 4th 5th
0 (disease-free) 97% 94% 93% 93% 93%
I (disease-free) 97% 93% 89% 88% 86%
II (disease-free) 95% 86% 80% 78% 75%
III (disease-free) 85% 70% 50% 45% 40%
IV (overall) 64% 33% 23% 18% 10%
Bonus† 2% 3% 4% 6% 7%
†Percentage of total fee claimed for cases who meet the bonus criteria and received
complete ‘treatment-mix’ as first course of treatment
Objective Difference of performance between care
for P4P Initiatives enrollees or none enrollees?
If better performance could reflect in better survival?
Methods
Study cohort 5,388 breast cancer incident cases
diagnosed in 2002 and 2003 followed to the end of 2007 Data source: population based cancer
registry
Methods
Measure performance of breast cancer care measured by a composite score of performance
measures based on two pre-treatment and nine treatment Core
Measure indicators collected through literature review selected by an expert panel group three stages of modified Delphi technique (Chung, K.P., et al., European Journal of Cancer Care, 2008.
17(1))
composite scores : (counts of measures the case complies with)————————————————————— (counts of total measures applicable to the case)
Methods – breast Cancer core
measure indicators 2 Pre-treatment indicators
PT1: Proportion of women aged over 50 who received bilateral mammography or breast sonography 3 months before surgery
PT2: Proportion of breast cancer patients who have diagnosis in cytology and histology before surgery
Methods – breast Cancer core measure indicators (cont. )
9 Treatment indicators T1: Proportion of breast cancer patients who were
discussed by multi-disciplinary team T2: Proportion of zero-stage breast cancer patients
with ten or more lymph nodes on pathology report T3: Proportion of Stage I and II patients who undergo
Breast Conserving Surgery (BCS) T4: Proportion of breast cancer patients with
pathology report of tumor-size in the medical record after surgery
Methods – breast Cancer core measure indicators (cont. )
T5: Proportion of invasive breast cancer after surgery with ten or more lymph nodes removed on pathology report
T6: Proportion of invasive breast cancer patients with estrogen receptor analysis results in the medical record
T7: Proportion of patients with invasive cancer who receive radiation treatment after BCS
T8: Proportion of breast cancer women aged less than and equal to 50 years (pre-menopausal) with positive lymph node receiving adjuvant chemotherapy
T9: Proportion of breast cancer women aged greater than 50 years (post-menopausal) with positive lymph node receiving adjuvant hormone therapy or chemotherapy
Methods
DataCombine with
National Health Insurance database (NHID) Taiwan cancer registry National death registry
Exclusion not treated at the reporting hospital not applicable with the performance composite score
lack of tumor size reported in cancer registry
Methods
Cox Proportional Hazard Modeling Control for
Age cancer staging hospital service volume
Results
4,273 (79.3%) cases are included 792 cases are P4P treatment-complete enrollees (18.6%)
P4P-claimed patients younger than none-enrollees P4P-claimed patients are with less proportion of early
stage (stage zero and stage one) cases (23.2% vs.
49.7%) Have higher mean of composite scores (0.62 vs. 0.49, p<0.
001)
Results
Cases reported by joined hospital (n=1,257)
Reported by other Hospitals (n=2,993)
P4P (a) None P4P (b) None P4P (c) Mean S.D. Mean S.D. Mean S.D.
Age 48.66 10.49 52.47 12.53 50.73 11.55
(F=17.591, p<0.001; a<b, a<c, b>c)
n % n % n %
Stage
0 16 2.02 93 20.00 256 8.55
I 168 21.21 138 29.68 820 27.40
II 391 49.37 152 32.69 1384 46.24 III 173 21.84 68 14.62 430 14.37
IV 44 5.56 14 3.01 103 3.44
(x2=171.970, p>0.001)
Results: Cox’s PH Model (a)
All hospitals (n=4,273)
Exp(B) 95.0% CI for Exp(B) p-value
Upper Lower
Age 1.018 1.011 1.024 <0.001
Stage (stage 0 as control) I 1.801 0.969 3.347 0.063
II 3.940 2.203 7.048 <0.001
III 14.436 8.065 25.841 <0.001
IV 64.058 35.313 116.204 <0.001
Service volume 1.000 1.000 1.001 0.203
Score of performance 0.633 0.481 0.832 0.001 P4P enroll. 0.741 0.599 0.917 0.006
Joined hospital (n=1,257)
Exp(B) 95.0% CI for Exp(B) p-value Upper Lower
Age 1.012 1.000 1.024 0.048
Stage (stage 0 as control) I 1.050 0.328 3.362 0.934 II 2.966 1.055 8.340 0.039 III 13.643 4.935 37.712 <0.001 IV 68.616 24.191 194.625 <0.001
Score of performance 0.830 0.568 1.212 0.334 P4P enroll. 0.661 0.480 0.910 0.011
Results: Cox’s PH Model (b)
Conclusion and Discussion Breast Cancer P4P Initiatives in Taiwan has some
positive influence on performance of cancer care and survival
P4P enrollees seem to receive care with better performance and have better outcome
design of financial incentive: same goals for bonus rewards hospitals that already performed better?