Restructuring Report attached (Word Document)
| Hospital | City | Belleville General | Campbellford Memorial | NHCC - Cobourg site | HHHS-Haliburton site | Memorial Hospital | HHHS-Minden site | Oshawa General | Peterborough Civic | NHCC - Port Hope site | Ross Memorial | St. Joseph's | Trenton Memorial |
| Belleville General | Belleville | 0.0 | 37.1 | 67.1 | 133.9 | 108.4 | 136.7 | 123.1 | 79.5 | 76.5 | 112.0 | 76.3 | 17.7 |
| Campbellford Memorial | Campbellford | 37.1 | 0.0 | 48.2 | 100.7 | 83.4 | 101.0 | 96.7 | 44.4 | 54.6 | 76.6 | 41.0 | 27.2 |
| NHCC-Cobourg site | Cobourg | 67.1 | 48.2 | 0.0 | 124.4 | 41.8 | 116.2 | 56.9 | 40.5 | 10.1 | 64.0 | 39.9 | 49.3 |
| HHHS-Haliburton site | Haliburton | 133.9 | 100.7 | 124.4 | 0.0 | 127.9 | 21.5 | 130.7 | 84.5 | 122.0 | 80.2 | 84.6 | 127.9 |
| Memorial Hospital | Bowmanville | 108.4 | 83.4 | 41.8 | 127.9 | 0.0 | 113.5 | 15.1 | 51.0 | 32.0 | 49.7 | 53.2 | 90.7 |
| HHHS-Minden site | Minden | 136.7 | 101.0 | 116.2 | 21.5 | 113.5 | 0.0 | 114.4 | 75.7 | 112.3 | 64.1 | 76.6 | 128.1 |
| Oshawa General | Oshawa | 123.1 | 96.7 | 56.9 | 130.7 | 15.1 | 114.4 | 0.0 | 60.4 | 47.0 | 50.6 | 63.2 | 105.5 |
| Peterborough Civic | Peterborough | 79.5 | 44.4 | 40.5 | 84.5 | 51.0 | 75.7 | 60.4 | 0.0 | 37.5 | 32.5 | 3.4 | 64.7 |
| NHCC-Port Hope site | Port Hope | 76.5 | 54.6 | 10.1 | 122.0 | 32.0 | 112.3 | 47.0 | 37.5 | 0.0 | 56.7 | 37.7 | 58.7 |
| Ross Memorial | Lindsay | 112.0 | 76.6 | 64.0 | 80.2 | 49.7 | 64.1 | 50.6 | 32.5 | 56.7 | 0.0 | 35.8 | 97.0 |
| St. Joseph's | Peterborough | 76.3 | 41.0 | 39.9 | 84.6 | 53.2 | 76.6 | 63.2 | 3.4 | 37.7 | 35.8 | 0.0 | 61.7 |
| Trenton Memorial | Trenton | 17.7 | 27.2 | 49.3 | 127.9 | 90.7 | 128.1 | 105.5 | 64.7 | 58.7 | 97.0 | 61.7 | 0.0 |
| Corporation/Hospital/ | Haliburton Highlands Health Service | Ross Memorial | Peterborough Civic | St. Joseph's Health | Campbellford Memorial | Northumberland Health Care Corp. | ||||||||||||||||||
| Site | Minden site | Haliburton site | Hospital | Hospital | Centre | Hospital | Cobourg site | Port Hope site | ||||||||||||||||
| Program Cluster | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases | Separations | Patient Days | Weighted Cases |
| Unassigned | 0 | 0 | 0.000 | 1 | 1 | 0.410 | 5 | 12 | 3.219 | 8 | 22 | 5.786 | 28 | 41 | 13.930 | 1 | 2 | 0.410 | 3 | 19 | 4.489 | 7 | 25 | 5.920 |
| Cardio/Thoracic | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 2 | 78 | 16.379 | 118 | 1,041 | 335.006 | 26 | 771 | 152.074 | 1 | 4 | 1.839 | 4 | 5 | 5.115 | 1 | 7 | 2.592 |
| Cardiology | 5 | 22 | 6.773 | 211 | 691 | 203.957 | 854 | 5,681 | 1273.398 | 1605 | 7,903 | 2071.507 | 367 | 2,616 | 563.520 | 348 | 2,186 | 478.053 | 529 | 2,946 | 601.995 | 239 | 1,267 | 293.337 |
| Dental/Oral Surgery | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 1 | 1 | 0.494 | 2 | 10 | 2.106 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 0 | 0 | 0.000 |
| Dermatology | 0 | 0 | 0.000 | 6 | 44 | 5.201 | 19 | 125 | 27.954 | 24 | 208 | 35.380 | 12 | 144 | 18.052 | 4 | 106 | 18.150 | 11 | 81 | 11.878 | 3 | 11 | 4.170 |
| Endocrinology | 0 | 0 | 0.000 | 18 | 60 | 15.759 | 122 | 890 | 152.105 | 206 | 1,534 | 295.116 | 45 | 544 | 88.197 | 46 | 306 | 48.910 | 67 | 544 | 74.993 | 44 | 265 | 52.609 |
| Gastro/Hepatobiliary | 0 | 0 | 0.000 | 89 | 258 | 70.482 | 613 | 2,870 | 578.795 | 1,034 | 4,183 | 887.415 | 171 | 1,330 | 223.792 | 166 | 867 | 162.650 | 389 | 2,074 | 371.368 | 186 | 668 | 165.514 |
| General Medicine | 4 | 83 | 13.252 | 55 | 308 | 57.373 | 421 | 2,541 | 470.853 | 609 | 2,529 | 514.761 | 255 | 4,587 | 763.028 | 93 | 494 | 93.255 | 277 | 1,865 | 327.144 | 192 | 1,617 | 288.736 |
| General Surgery | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 741 | 3,712 | 1139.185 | 1,116 | 6,647 | 1846.636 | 532 | 8,509 | 1703.778 | 171 | 858 | 255.229 | 162 | 728 | 224.119 | 105 | 409 | 121.126 |
| Gynaecology | 0 | 0 | 0.000 | 2 | 4 | 1.065 | 173 | 547 | 180.543 | 446 | 1,625 | 489.940 | 2 | 7 | 2.061 | 17 | 66 | 16.268 | 92 | 428 | 95.815 | 49 | 212 | 50.493 |
| Haematology | 2 | 3 | 1.784 | 6 | 55 | 11.778 | 47 | 411 | 74.030 | 90 | 436 | 108.687 | 14 | 121 | 21.208 | 22 | 74 | 23.795 | 25 | 145 | 30.385 | 6 | 21 | 7.962 |
| Neonatology | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 324 | 880 | 120.371 | 605 | 3,352 | 390.331 | 0 | 0 | 0.000 | 1 | 2 | 0.473 | 140 | 431 | 62.041 | 37 | 148 | 15.052 |
| Nephrology | 0 | 0 | 0.000 | 6 | 33 | 7.279 | 44 | 198 | 43.508 | 55 | 341 | 58.277 | 17 | 103 | 19.504 | 26 | 117 | 26.314 | 21 | 98 | 17.878 | 8 | 30 | 6.861 |
| Neurology | 2 | 33 | 3.057 | 35 | 118 | 46.615 | 221 | 2,403 | 423.071 | 566 | 7,704 | 1303.829 | 130 | 3,666 | 564.087 | 79 | 832 | 142.675 | 153 | 1,186 | 227.155 | 91 | 595 | 123.659 |
| Neurosurgery | 0 | 0 | 0.000 | 3 | 23 | 3.606 | 9 | 93 | 15.289 | 86 | 505 | 163.537 | 9 | 130 | 18.439 | 4 | 33 | 5.347 | 13 | 223 | 20.553 | 3 | 33 | 4.414 |
| Normal Newborns | 0 | 0 | 0.000 | 27 | 38 | 5.204 | 252 | 524 | 48.812 | 1,136 | 2,148 | 222.995 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 206 | 446 | 40.214 | 143 | 293 | 27.647 |
| Not Generally Hospitalized | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 24 | 24 | 5.858 | 21 | 37 | 6.950 | 0 | 0 | 0.000 | 3 | 3 | 0.817 | 1 | 4 | 0.549 |
| Obstetrics | 0 | 0 | 0.000 | 39 | 57 | 20.403 | 670 | 1,783 | 466.033 | 2,429 | 5,553 | 1458.907 | 2 | 17 | 2.108 | 8 | 15 | 3.952 | 441 | 1,098 | 279.653 | 200 | 488 | 131.785 |
| Oncology | 0 | 0 | 0.000 | 34 | 305 | 72.411 | 217 | 2,357 | 507.705 | 254 | 2,384 | 550.753 | 136 | 2,095 | 404.786 | 87 | 805 | 182.837 | 113 | 1,266 | 252.316 | 39 | 300 | 69.678 |
| Ophthamology | 0 | 0 | 0.000 | 1 | 1 | 0.569 | 17 | 44 | 9.367 | 7 | 17 | 4.538 | 121 | 174 | 88.536 | 1 | 20 | 3.271 | 3 | 17 | 2.823 | 0 | 0 | 0.000 |
| Orthopaedics | 1 | 1 | 0.278 | 24 | 100 | 16.829 | 251 | 2,253 | 527.024 | 167 | 1,191 | 233.108 | 1,064 | 10,328 | 2630.583 | 31 | 236 | 32.607 | 90 | 688 | 97.103 | 56 | 330 | 54.602 |
| Otolaryngology | 0 | 0 | 0.000 | 15 | 23 | 7.981 | 125 | 291 | 61.464 | 817 | 1,074 | 404.025 | 17 | 67 | 18.477 | 81 | 104 | 37.492 | 125 | 226 | 63.256 | 89 | 109 | 38.300 |
| Plastic Surgery | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 2 | 9 | 1.433 | 5 | 9 | 4.040 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 1 | 1 | 0.929 | 1 | 10 | 0.929 |
| Psychiatry | 1 | 3 | 0.432 | 54 | 321 | 57.231 | 121 | 1,136 | 187.163 | 716 | 12,272 | 1620.596 | 49 | 1,341 | 168.434 | 87 | 1,065 | 146.114 | 111 | 698 | 123.361 | 71 | 367 | 98.282 |
| Pulmonary | 4 | 21 | 2.999 | 106 | 405 | 112.288 | 761 | 4,685 | 939.889 | 1,119 | 6,764 | 1349.517 | 187 | 2,380 | 405.864 | 175 | 1,379 | 238.138 | 289 | 1,778 | 332.403 | 194 | 1,000 | 224.231 |
| Rehabilitation | 0 | 0 | 0.000 | 1 | 7 | 3.854 | 32 | 765 | 151.389 | 5 | 102 | 19.271 | 18 | 736 | 115.881 | 15 | 298 | 52.091 | 2 | 8 | 7.708 | 0 | 0 | 0.000 |
| Rheumatology | 0 | 0 | 0.000 | 2 | 15 | 2.397 | 21 | 257 | 48.136 | 27 | 232 | 41.661 | 79 | 858 | 125.412 | 11 | 138 | 22.518 | 22 | 306 | 45.977 | 9 | 35 | 11.523 |
| Trauma | 0 | 0 | 0.000 | 15 | 16 | 7.533 | 92 | 404 | 114.933 | 145 | 598 | 186.847 | 52 | 298 | 107.605 | 19 | 77 | 19.266 | 55 | 160 | 47.618 | 34 | 92 | 27.200 |
| Ungroupable | 0 | 0 | 0.000 | 5 | 8 | 1.098 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 1 | 8 | 1.098 | 22 | 120 | 13.346 | 0 | 0 | 0.000 |
| Urology | 2 | 6 | 0.964 | 22 | 49 | 12.513 | 107 | 471 | 99.639 | 115 | 610 | 119.534 | 745 | 4,131 | 818.390 | 36 | 133 | 28.802 | 73 | 252 | 49.065 | 45 | 134 | 33.667 |
| Vascular Surgery | 0 | 0 | 0.000 | 0 | 0 | 0.000 | 17 | 244 | 58.763 | 239 | 2,414 | 855.685 | 4 | 257 | 29.180 | 2 | 6 | 1.043 | 1 | 1 | 2.215 | 1 | 6 | 1.705 |
| TOTALS | 21 | 172 | 29.539 | 777 | 2,940 | 743.834 | 6,280 | 35,664 | 7740.448 | 13,774 | 73,423 | 15584.035 | 4,105 | 45,298 | 9075.981 | 1,533 | 10,231 | 2042.594 | 3,443 | 17,841 | 3433.727 | 1,854 | 8,476 | 1862.541 |
| BEDS (1) | |||||||||||
| Mental Health | |||||||||||
| HOSPITAL | Acute Beds (excl. mental health) | Adult | Child & Adol. | Complex Continuing Care | Rehab. | TOTAL BEDS (Mar '96) | TOTAL BED CAPACITY (2) | Acute Separations (3) | Qualifying SDS Visits (4) | Ambulatory Visits (5) | Emergency Room Visits (6) |
| HHHS |   |   |   |   |   |   |   |   |   |   |   |
| - Minden site | 0 | 0 | 0 | 0 | 0 | 0 | n/a | 21 | n/a | n/a | n/a |
| - Haliburton site | 10 | 0 | 0 | 0 | 0 | 10 | 19 | 777 | n/a | 20,354 | 27,669 |
| Ross Memorial Hospital | 111 | 0 | 0 | 95 | 0 | 206 | 193 | 6,280 | 1,975 | 11,514 | 35,444 |
| Peterborough Civic Hospital | 191 | 26 | 0 | 86 | 0 | 303 | 333 | 13,774 | 5,686 | 13,820 | 56,263 |
| St. Joseph's Health Centre | 152 | 0 | 0 | 0 | 10 | 162 | 98 | 4,105 | 5,125 | 15,075 | 14,400 |
| Campbellford Memorial Hospital | 44 | 0 | 0 | 25 | 0 | 69 | 81 | 1,533 | 592 | 4,256 | 15,723 |
| NHCC - Cobourg site | 79 | 0 | 0 | 39 | 0 | 118 | 107 | 3,443 | 534 | 5,574 | 33,757 |
| - Port Hope site | 42 | 0 | 0 | 0 | 0 | 42 | 46 | 1,854 | 766 | 0 | 22,427 |
| TOTAL | 629 | 26 | 0 | 245 | 10 | 910 | 877 | 31,787 | 14,678 | 70,593 | 205,683 |
| Specialty Hospitals: | |||||||||||
| Lakefield Private | 11 | 11 | |||||||||
| Sidbrook Private | 38 | 38 | |||||||||
| Haliburton Highlands Health Service (1) | Northumberland Health Care Corp. | |||||||
| Facility Name | Minden Site | Haliburton site | Ross Memorial Hospital | Peterborough Civic Hospital | St. Joseph's Health Centre | Campbellford Memorial Hospital (1) | Cobourg Site | Port Hope Site |
| Acute Beds Staffed and in Operation (excl. psychiatry beds) (2) | 0 | 10 | 111 | 191 | 152 | 44 | 79 | 42 |
| Benchmark Weighted Occupancy Rate | 0.70 | 0.70 | 0.75 | 0.85 | 0.85 | 0.64 | 0.75 | 0.75 |
| ESI Referral Population (3) | n/a | 54,324 | 89,433 | 57,734 | 15,299 | 23,986 | 13,686 | |
| Current Utilization per 1,000 ESI Refer Pop. | 630 | 634 | 757 | 667 | 705 | 586 | ||
| Acute Patient Days (excl. psychiatry) | 172 | 2,889 | 34,251 | 56,661 | 43,704 | 10,209 | 16,912 | 8,025 |
| Conservable Days (4): | n/a | n/a | n/a | |||||
| Moving 100% of ALCs | 3,262 | 2,954 | 4,076 | 1,251 | 575 | |||
| Moving 100% of CMG 851 | 523 | 370 | 1,846 | 740 | 624 | |||
| Moving 100% of CMG 910 | 0 | 5 | 16 | 0 | 4 | |||
| Moving 25% of MNRH | 128 | 179 | 97 | 175 | 54 | |||
| Day Surgery Potential at 75th percentile | 500 | 997 | 512 | 181 | 121 | |||
| Adjustment to Benchmark LOS | n/a | n/a | 5,174 | 9,057 | 8,573 | n/a | 3,825 | 1,199 |
| Total Conservable Days | n/a | n/a | 9,587 | 13,562 | 15,119 | n/a | 6,172 | 2,577 |
| Post Utilization Patient Days | 172 | 2,889 | 24,664 | 43,099 | 28,585 | 10,209 | 10,740 | 5,448 |
| Beds at 100% Occupancy | n/a | n/a | 68 | 118 | 78 | 28 | 29 | 15 |
| Target Beds at 90% Occupancy or lower (5) | n/a | 10 | 90 | 139 | 92 | 44 | 39 | 20 |
| Projected Utilization Rate | 454 | 482 | 495 | 667 | 448 | 398 | ||
| Acute Beds | Target Beds 2003 | ||||||||||
| Mental Health | |||||||||||
| Facility/Corporation/Site | Acute Bed Target (1) | Out of Province | Total Acute Beds (2) | Estimated Growth Beds | Total Acute with Growth | Adult Acute | Child & Adol. | Sub-acute | Rehab | Complex Continuing Care | TOTAL BEDS |
| Haliburton Highlands Health Service: | |||||||||||
| - Minden site | 0 | 0.0 | 0 | 0 | 0 | n/a | n/a | n/a | n/a | n/a | 0 |
| - Haliburton site | 10 | 0.0 | 10 | 0 | 10 | n/a | n/a | n/a | n/a | n/a | 10 |
| Ross Memorial Hospital | 90 | 0.2 | 90 | 21 | 111 | 13 | 0 | 17 | 13 | 47 | 201 |
| Peterborough Civic Hospital (3) | 231 | 0.6 | 232 | 37 | 269 | 40 | 4 | 34 | 24 | 95 | 466 |
| Campbellford Memorial Hospital | 44 | 0.1 | 44 | 0 | 44 | n/a | n/a | 0 | 0 | 25 | 69 |
| Northumberland Health Care Corp. | 59 | 0.3 | 59 | 10 | 69 | n/a | n/a | 12 | 14 | 33 | 128 |
| Beds to be sited | 6 | 6 | |||||||||
| TOTAL | 434 | 1.2 | 435 | 68 | 503 | 53 | 4 | 69 | 51 | 200 | 880 |
The methodology described in this document is designed to produce estimates of savings related to four areas of hospital activity, as well as plant costs related to the implementation of restructuring:
While the cost savings estimates are advice to the Minister of Health, they have the potential of becoming guideposts or targets for costs and savings related to restructuring implementation. Therefore it is necessary to develop the best possible methods of estimation and use the most accurate information possible to guide decision-making respecting hospital and health care restructuring.
Due to the method of identifying costs and savings associated with various restructuring options the sequence of the estimates is fundamentally important to avoid double-counting and improve the accuracy in estimating costs and potential savings. The following is the sequence of steps respecting costs and savings estimates inherent in the methodology:
STEP 1: Determine Net Expenses
In order to establish the separation of direct service costs from indirect costs, the Ontario Cost Distribution Methodology (OCDM) is applied. Net expenses are calculated in the OCDM by netting allowable recoveries/revenues and restructuring costs from gross expenses. Selected expense accounts (see table below) are deducted from net expenses to derive adjusted net expenses (includes plant, materials management and administration) for all patient types (i.e., acute inpatient and day surgery, chronic & respite, ELDCAP, palliative, rehab, outpatient, other hospital or community outpatients).
|
Account Code |
Description |
|
71 7 10 |
Research - General |
|
71 9 ** |
Marketed Services |
|
81 9 50 80 |
Depreciation Undistributed - Major Equipment |
|
81 9 55 |
Interest on Long Term Liabilities - Undistributed |
|
81 9 60 |
Municipal Taxes |
|
81 9 90 |
Other Undistributed Expenses - Operating |
|
81 9 95 |
Employee Benefits - Debit Clearing Account |
|
81 9 96 |
Employee Benefits - Credit Clearing Account |
|
85 9 45 |
Other Undistributed Revenues |
|
85 9 90 |
Other Undistributed Expenses |
|
63030 |
Short Term Interest Charges |
|
75000 |
Depreciation on Major Equip - Distributed |
|
76000 |
Rental/Lease of Equipment |
|
78000 |
Amortization - Software License and Fees |
|
95080 |
Depreciation on Major Equip – Undistributed |
STEP 2: Calculate Program & Related Transfers
In estimating savings for the transfer of inpatient acute clinical activity among
facilities, a number of key assumptions were made:As a consequence of program transfers, there may need to be a re-allocation of materials management expenses, based on the proportion of direct expenses of each reconfigured facility. No savings are generated in this step as these expenses are only re-distributed.
The number of weighted cases transferred may result in a funding difference in direct services if the transferred cost is lower than the actual cost of the transferring facility. Since there is no evidence to suggest that operating at a lower cost than the expected rate results in poorer services or outcomes it is the recommendation of the HSRC that the lower of expected or actual direct costs be used in the costing of transfer of programs between hospitals.
STEP 3: Calculate Clinical Efficiency Savings
Clinical efficiencies, based on estimated savings in patient days from the improvements in clinical utilization consistent with the HSRC methodology, are calculated using the revised levels of costs and clinical activity in the receiving hospital if program transfers are involved.
Where benchmarks are applied, conservable days are based on three axis: CMG/DPG, age group, and peer group.The following is the sequence of calculations to estimate savings associated with clinical efficiencies. Note that the calculations of clinical efficiencies is currently under development and will be incorporated into the methodology when finalized
.
A. Alternate Level of Care (ALC)
ALC days are divided into surgical and medical categories associated with the original acute case designation. Different weighting factors based on the results of the OCCP data analysis are then applied.
In estimating the savings in this area, it is assumed that they will be realized at the hospital transferring the programs. Therefore, ALC savings are calculated at the lower of the expected or actual direct cost per weighted case of the sending facility.i) estimated savings for medical ALC days be calculated as follows:
[conservable medical ALC days] x [medical caseload weighting factor of 0.10] x [direct cost per case]
ii) estimated savings for surgical ALC days be calculated as follows:
[conservable surgical ALC days] x [surgical weighting factor of 0.134] x [direct cost per case]
B. Other Factors Causing Hospitalization - Case Mix Group 851
The costs/savings associated with the inpatient case to related to CMG 851 are estimated as follows:
[number of cases related CMG 851] X [RIW ] X [hospital average (direct) cost per case]
C. Diagnoses Not Normally Hospitalized - Case Mix Group 910
As is the case with CMG 851 cases associated with this CMG have a specific resource intensity weight (RIW) associated with them.
The following is the equation for estimating costs/savings associated with CMG 910 cases:
[number of cases] X [RIW] X [hospital average (direct) cost per case]
D. Day Surgery Conversion
The costs and savings attributed to same day surgery conversion are calculated by determining the variance in resource weights of the inpatient surgical CMG to that of the same day surgery Day Procedure Group (DPG). That is, the costs associated with the inpatient case to be converted are estimated using the CMG RIW and the hospital cost per weighted case. Then, the costs associated with the day surgery case that is generated are calculated using the DPG RIW and the hospital cost per weighted case. The DPG cost estimate is subtracted from the CMG RIW cost estimate. The difference is the cost or saving associated with the conversion.
Inpatient Surgical Case ([average cost per weighted case] X [case weight/CMG]) less Day Surgical Case ([average cost per weighted case] X [case weight/DPG])
E. May Not Require Hospitalization (MNRH)
Savings attributed to the MNRH surgical cases are calculated based upon the same-day surgery conversion methodology which is described in following sections.
The savings attributed to medical MNRH cases would be calculated based upon the weight of 0.533. The following is the recommended equation for estimating the costs of MNRH conservable days:
[Conservable days associated with MNRH CMGs (medical only)] X [0.533 weighting factor] X [Hospital Cost per Weighted Case]
F. Average Length of Stay (ALOS)
Starting with the estimation of potential conservable days associated with average length of stay, the methodology addresses costs associated with the conservable days.
Routine and Ancillary weights by Case Mix Group are used with the hospital’s direct average cost per case to estimate the costs attributed to conservable days associated with improvements in length of stay.
The calculation is CMG-specific as follows:
Conservable days x (Routine and Ancillary % of full cost x RIW per diem factor) x Hospital Specific Direct Case Cost
STEP 4: Determine Support Service Efficiencies
In order to determine the savings potential of consolidating support services, a number of options regarding the selection of these support services were considered. The HSRC settled on the following functions largely due to the size of the activity in budgetary terms; i.e., materials management, food services and laboratory services. Furthermore, there have been ample studies to support the assumptions and models employed by the HSRC in regard to these hospital activities. This is not to suggest that other cost centres are cannot be consolidated and savings realized by the hospitals.
The model developed to identify savings resulting from consolidation and improved efficiency in Food Services, Materials Management and Laboratories is based on a three dimensional matrix.
The three dimensions which influence the potential savings are:
The three dimensions are indicated below.
|
Estimated Saving Percentages / Number of Sites to be Consolidated |
||||||||
|
2 - 3 |
4 - 6 |
7 - 9 |
||||||
|
Current Level Of Efficiency |
Model A |
Model B |
Model A |
Model B |
Model A |
Model B |
||
|
High |
||||||||
|
Average |
||||||||
|
Low |
||||||||
A. Materials Management
Based on the implementation of best practices, the following table summarizes estimated potential savings within a region (where a region is defined as a group of hospitals within a geographic cluster).
Current levels of efficiency are addressed in the following section.
|
MATERIALS MANAGEMENT |
Estimated Saving Percentages / Number of Sites to be Consolidated |
||
|
Current Level Of Efficiency |
2 - 3 |
4 - 6 |
7 - 9 |
|
High |
23% |
28% |
33% |
|
Average |
29% |
34% |
39% |
|
Low |
35% |
40% |
45% |
Best Practices in Materials Management
The following list summarizes best practices which could be implemented in order to achieve savings through consolidation of materials management across a number of hospitals:
Current Levels of Efficiency in Materials Management - Definitions
|
Current Level Of Efficiency |
Definition |
Approximate Inventory Turns/Year |
|
High |
|
20 or more |
|
Average |
|
15 |
|
Low |
|
10 or less |
(1) e.g., bar coding, carousels, etc.
B. Laboratory Services
Based on the implementation of best practices, the following table summarizes estimated potential savings within a region (where a region is defined as a group of hospitals within a geographic cluster). Current levels of efficiency are addressed in a following section.
|
CLINICAL LABORATORY SERVICES |
Estimated Saving Percentages / Number of Sites to be Consolidated |
|||||||
|
2 - 3 |
4 - 6 |
7 - 9 |
||||||
|
Current Level Of Efficiency |
Model A |
Model B |
Model A |
Model B |
Model A |
Model B |
||
|
High |
2% |
5% |
5% |
10% |
5% |
15% |
||
|
Average |
5% |
10% |
10% |
15% |
10% |
20% |
||
|
Low |
10% |
15% |
15% |
20% |
15% |
25% |
||
As noted in the table above the savings estimates range from 2% to 25% depending on the model selected and the characteristics of the hospitals involved. These figures relate only to hospital laboratories and do not include the community sector laboratories. If the latter were included it is possible to increase the savings potential. Other assumptions underlying the estimates are listed below as is the Models A and B identified in the above chart.
Best Practices For Laboratory Services
The following list summarizes best practices which could be implemented in order to achieve savings through consolidation of laboratory services across a number of hospitals.
|
Number Of Beds |
Best Practices |
Model A - Modified Central Laboratory Concept |
|
|
0- 79 beds |
Rapid response laboratories in all other facilities that meet the STAT testing needs of each institution.
Networked information systems between central laboratory and rapid response laboratories.
Note: Central facility(s) and hospitals should be located within a 1 hour drive of each other. |
Model B - Central Laboratory Concept |
|
80 + beds |
Rapid response laboratories in all other facilities that meet the STAT testing needs of each institution.
Networked information systems between central laboratory and rapid response laboratories.
Note: Central facility(s) and hospitals should be located within a 1 hour drive of each other. |
Current Levels of Efficiency in Hospital Laboratory Services
|
Current Level of Efficiency |
Definition |
|
High |
|
|
Average |
|
|
Low |
|
C. Food Services
Based on the implementation of best practices, the following table summarizes estimated potential savings through consolidation of services within a region (where a region is defined as a group of hospitals within a geographic cluster). Current levels of efficiency are defined in further sections. Assumptions are listed below in a separate subsection.
There are a number of dimensions to food services savings:
Not all of the dimensions of food services are explored in this methodology. However, the method is consistent with numerous food service studies by hospitals, DHCs and other bodies commissioned over the past few years. The following chart outlines some benchmarks for savings from consolidation and efficiency improvement.
|
FOOD SERVICES |
Estimated Saving Percentages / Number of Sites to be Consolidated |
|||||
|
2 - 3 |
4 - 6 |
7 - 9 |
||||
|
Current Level Of Efficiency |
Model A |
Model B |
Model A |
Model B |
Model A |
Model B |
|
High |
2% |
9% |
4% |
11% |
6% |
14% |
|
Average |
4% |
15% |
7% |
17% |
10% |
20% |
|
Low |
8% |
22% |
10% |
24% |
12% |
26% |
The table above notes that the savings can range between 2% of current expenses to 26% depending on the model, sites and current level of efficiency. Note that for chronic (i.e., complex continuing care)/rehabilitation facilities it is assumed that the complexity of cases, and therefore resource needs, is less than that for acute care facilities. Consequently, 75% of the savings rate attributed to acute care sites are applied to the chronic/rehab site.
Best Practices in Food Services
The following table summarizes best practices which could be implemented in order to achieve savings through consolidation of food services across a number of hospitals under two consolidation models
.
|
Number Of Beds |
Best Practices |
|
Model A - Shared Management and Outsourcing |
|
|
0 - 79 beds |
|
|
80 + beds |
|
|
Model B - Shared Management, Outsourcing and Meal Assembly |
|
|
All sizes |
|
1 Advanced meal delivery system: A cart system in which pre-plated meals are held chilled and re-thermalized automatically just prior to meal service time. Re-thermalization can take place centrally in the hospital's kitchen or decentrally in nutrition centres proximate to each patient unit. Hot beverages and ice cream are added to trays at the time of service.
Current Levels of Efficiency in Food Services
|
Current Level Of Efficiency |
Definition |
Approximately Productivity (Meal Days Per FTE) |
|
High |
|
> 2,750 |
|
Average |
|
Between 2,250 and 2,750 |
|
Low |
|
< 2,250 |
Method of Assessing Savings Related to Materials Management, Food Services and Laboratories
In order to compare hospital performance with best practices consistent with the model, a survey is administered to hospitals under consideration. The results of this survey are tabulated and a score relative to the level of efficiency is assessed. The hospital and its particular situation is then plotted against each of the three dimensional grids to determine the level of savings achievable at best practices.
Savings are determined at an aggregate level for the group of facilities and are prorated to the individual facilities based on their respective efficiency ratings. For example, an overall savings of 20% could be distributed as 10% savings to a high efficiency facility and 30% savings to a low efficiency facility (given a two-facility group with the same size budgets).Since laboratory and food service expenses are part of the direct patient care costs, it is assumed that a by product of expense reductions due to clinical efficiencies will mean a reduction in the potential for savings in these areas. Therefore, the savings potential for Laboratory expenses and for Food Services expenses is then discounted for any reduction in direct costs that result from increased clinical efficiency.
STEP 5: Re-allocation of Other Expenses
Other savings may be identified through site closures and program reductions. These savings are community-specific and are based on net expenses as reported in the OCDM.
STEP 6: Calculate Site Closure Savings
Should a facility or site be subject to closure in various options, then net plant expenses are identified as savings. For plants that remain in various options these expenses are maintained.
STEP 7: Determine Administrative Efficiencies
Administrative expenses are those expenses which for the most part are fixed and do not vary directly with patient volumes. These non-variable costs tend to remain inside a set limit as a percentage of total hospital operating costs.
The categories included in Administrative Expenses were chosen to correspond to the overhead costs in the OCDM with a few exclusions (e.g. plant, materials management). The following are the primary functional centres that were included in the Administrative Expenses total.
|
Functional Centres |
|||||
|
Category |
Account |
Category |
Account |
Category |
Account |
|
General Admin |
71110 |
Finance |
71115 |
Human Resources |
71120 |
|
Systems Support |
71125 |
Communications |
71130 |
Volunteer Services |
71140 |
|
Housekeeping |
71145 |
Laundry/Linen |
71150 |
Bio-Med Engineer. |
71175 |
|
Registration |
71180 |
Patient Transport |
71185 |
Health Records |
71190 |
|
Admin/Supp Temp |
71198 |
Pastoral Care |
71199 |
Hospital Library |
71810 |
|
Audiovisual |
71820 |
Medical Illustration |
71830 |
Inservice Education |
71840 |
|
Admin & Supp - Ed |
71850 |
Formal Ed.-Nsg |
71860 |
D&T Formal Education |
71870 |
|
Formal Ed.-Medical |
71880 |
||||
The estimated savings from Administrative Efficiencies are based on benchmarking the Administrative expenses to comparable hospitals relative to
net direct expenses (including plant and materials management). The benchmarks are based on the 10th percentile for each of the three review groups. A fourth review group was established for free-standing chronic/rehabilitation facilities. Specialty hospitals were not included in the creation of the benchmarks but administrative savings were estimated using the appropriate review group. The revised administrative expenses based on benchmark values are then subtracted from the initial administrative expenses (based on the above accounts), to determine administrative expense savings. The following table defines the benchmarks that were used for each of the review groups. Please note that the benchmarks are calculated and applied using these formulae:New Total Operating Net Expense
= New Direct Net Expense (including plant and materials management)/(1-Benchmark Rate)
Administrative Expense Savings
= (New Total Operating Net Expense - New Direct Net Expense) - 1995/96 Net Admin. Expense
|
Review Group |
10th Percentile - Benchmark |
Minimum |
Median |
Maximum |
|
Review Group 0 (Free-Standing) |
17.14% |
13.00% |
20.13% |
34.09% |
|
Review Group 1 |
12.81% |
11.97% |
16.21% |
18.53% |
|
Review Group 2 |
13.75% |
10.72% |
16.56% |
23.59% |
|
Review Group 3 |
16.33% |
13.83% |
21.47% |
31.74% |
Step 8: Add back Selected Expenses
For institutions that are remaining open, Selected Expenses as identified in Step 1 are added back in total. For institutions where programs have been transferred or closed, the following expenses are transferred to the receiving facility, in proportion to the activities transferred.
Emergency physician remuneration (primary account 71930)
Depreciation - distributed & undistributed (secondary accounts 75000 & 95080)
Depreciation undistributed (primary account 8195080)
Other undistributed expenses - Operating (primary account 81990)
Net NEER (penalties/rebates)
Cash Discounts (secondary accounts 12090 & 12190)
Step 9: Establish the Cost of the Reconfigured System
The total net expenses of the reconfigured system are then calculated by adding back the selected expenses identified in Step 1. This total reflects costs associated with all patient types in an acute-care facility.
Chronic (i.e., complex continuing care) and Palliative Care Costing Methodology
The methodology used to estimate the cost of a reconfigured chronic care (i.e., complex continuing care) and palliative care system and a reconfigured rehabilitation care system follows the methodology used in the calculation of costs for the acute care sector with a few differences. Net expenses and selected expenses are determined as outlined in Step 1 but only as related to chronic & respite, and palliative patient types.
The following assumptions are made in costing the program reductions/enhancements
It is expected that current lower intensity chronic care (i.e., complex continuing care) patients will now be cared for within the long-term care system. Future patients who require chronic care (i.e., complex continuing care) will, on average, have a higher resource intensity than is currently exhibited. Consequently, a resource intensity adjustment of 17% was allocated to all facilities who continue to have chronic care (i.e., complex continuing care) patients.
There are no administrative efficiencies calculated on acute care hospitals, as they have already been calculated in the acute care methodology. However, administrative costs are adjusted to reflect program reductions/enhancements. Administrative efficiencies are calculated for all free-standing facilities as described above in Step 7. As in the acute care methodology, for sites that close, plant and materials management net expenses are identified as savings. Selected expenses are added back for sites that remain open. The total net expenses of the reconfigured system are then calculated by adding back the selected expenses to the new direct and administrative expenses.
Rehabilitation Care Costing Methodology
Net and selected expenses are determined as outlined in Step 1 but only as related to rehabilitation care.
An adjustment is made for additional allied health expenses for all rehabilitation care beds. This additional expense is expected to cover the additional cost of allied health coverage on weekends.
The following assumptions are made in estimating the costs for the transfer of rehabilitation patients.
Administrative efficiencies are not found for acute care hospitals, as this has already been calculated in the acute care methodology. However, administrative costs are adjusted to reflect program transfers. Administrative efficiencies are calculated for all free-standing facilities as described above in Step 7. As in the acute care methodology, for sites that close, plant and materials management net expenses are identified as savings. Selected expenses are added back for sites that remain open. The total net expenses of the reconfigured system are then calculated by adding back the selected expenses to the adjusted expenses, program transfers, adjustments, and new administrative expenses.
CONCLUSION
This methodology for identification of costs and savings associated with restructuring options was developed to do the following:
The original methodology for costing of restructuring options as reported in the Thunder Bay, Sudbury, Lambton and Pembroke reports was modified from one developed by the Ministry of Health. While there were issues associated with the method, the basic approach was deemed acceptable to the hospital sector. The HSRC undertook to revise the methodology by examining relevant analysis and research into various categories of expenses and potential savings.
The HSRC had engaged the firm KPMG, and their associates, Healthcor, to assist the HSRC in its endeavors. Working with the Ontario Case Cost Project, the Fiscal Planning Working Group of the Joint Policy and Planning Committee, and its consultants, Hay Management, and the Ministry of Health, the HSRC identified areas of improvement to the methodology which it will implement in future review and revise estimates from past reports.
Concurrent with the revisions to the methodology, the HSRC developed, with the assistance of KPMG and Healthcor, a software modeling system based on the revised costing methodology. The system will facilitate the consistent application of the methodology.
The costing methodology results are summarized in each report of the HSRC as advice to the Ministry of Health and to the hospitals affected by the directions. The actual expenses and savings will require further development during the implementation of the directions by the hospitals in conjunction with the HSRC and the Ministry of Health. The HSRC strives to use the most accurate and consistent information possible in developing the estimates because it is aware that they can become targets and guideposts for implementation.
As always, the HSRC invites comment on any materials and approaches that it promulgates. This policy of openness will allow the HSRC to improve upon its methods through the feedback from the industry and from the results of implementation as it proceeds in various communities.
If you have any comments regarding this report of any of the sections therein, the HSRC would appreciate your views in writing to the HSRC.
Restructuring Report attached (Word Document)