Appendices A-F


Restructuring Report attached (Word Document)

-Notices attached (Word Document)
News Release attached

Table of Contents

APPENDIX A: Distance Between Hospitals in Durham / Peterborough / Haliburton / Victoria / Northumberland / Hastings and Prince Edward Counties

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
* Distance is measured in kilometers


APPENDIX B: Acute Care Program Clusters by Facility

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
Source: CIHI 1995/96 database


APPENDIX C: HKPR Hospital Beds and Activity 1995/96

  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        
n/a not applicable
(1) MOH Regional Inventory of Staffed Beds, at end of March 1996. Mental health bed numbers are open and staffed as per hospital operating plans.
(2) HSRC bed survey, lines 1, 2, and 3 as at November 1997.
(3) 1995/96 CIHI data (includes newborns)
(4) 1995/96 OCDM data set.
(5) Operating Plans 97/98, Budget Report Form 13 actuals 95/96, lines 23 (Clinics-Total), for CMH, NHCC sites. The remaining hospitals data are actuals 94/95.
(6) Operating Plans 97/98, Budget Report Form 13 actuals 95/96, lines 13 (ER), for HHHS total for both sites, CMH. The rest are actuals 94/95.


APPENDIX D: Summary of HKPR Utilization Improvements by Facility

  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
Source: PDST v.4.1. n/a not applicable

(1) no efficiencies have been applied to the HHHS sites (Minden and Haliburton) and Campbellford Memorial Hospital pending review of the Rural and Northern Health Care Framework.
(2) Ministry of Health, Regional Inventory of Staffed Beds, at end of March 1996.
(3) 1995/96 revised ESI referral population, Oct. 1997
(4) Conservable days are rounded up.
(5) Weighted occupancy was based at the lower of the benchmark weighted occupancy PDST v.4.1 or 90%.


APPENDIX E: System Sizing for HKPR Region Facilities

  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
NOTE:
Mental health longer term beds to be sited in GTA at Whitby Mental Health Centre.
n/a = not applicable
(1) Target beds, post utilization efficiencies, based at lower of the benchmark weighted occupancy or 90%. Excludes mental health beds.
(2) includes out-of-province beds.
(3) includes 92 acute beds from St. Joseph's Health Centre


APPENDIX F: Summary of Revised Cost Savings Estimation Methodology

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:

  1. Current operational performance;
  2. Number of sites being consolidated; and

  3. Critical mass or thresholds.

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

  • Extensive use of buying group(s) or a prime vendor.
  • Purchasing decision involves users.
  • EDI/EFT
  • Ward stock top-up - top-up frequency minimized - large facilities use computerized inventory management and automated stock control systems (1).
  • Standardized products and procedure trays/case carts.
  • Some outsourcing of sterilization.

20 or more

Average

  • Moderate use of buying group(s).
  • Purchasing decision - mix of buyers and users.
  • Manual ordering and accounts payable.
  • Ward stock top-up - daily top-up - manual stock control systems.
  • Limited standardization of products and procedure trays/case carts.

15

Low

  • Some use of buying group(s).
  • Purchasing decision by buyers.
  • Manual ordering and accounts payable.
  • Ward stock exchange carts - daily exchange - manual stock control systems.
  • No standardization of products and procedure trays/case carts.

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

  • Central laboratory that processes most routine testing and all esoteric testing for the region.

Rapid response laboratories in all other facilities that meet the STAT testing needs of each institution.

  • Consolidated purchasing to maximize purchasing power.

Networked information systems between central laboratory and rapid response laboratories.

  • Bar-coding technology for tracking/analyzing specimens. Centralized governance structure.
  • Linkages with academic health sciences centres.

Note: Central facility(s) and hospitals should be located within a 1 hour drive of each other.

Model B - Central Laboratory Concept

80 + beds

  • Central laboratory that testing for the region.

Rapid response laboratories in all other facilities that meet the STAT testing needs of each institution.

  • Consolidated purchasing to maximize purchasing power.

Networked information systems between central laboratory and rapid response laboratories.

  • Bar-coding technology for tracking/analyzing specimens.
  • Centralized governance structure.
  • Linkages with academic health sciences centres.

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

  • Central laboratory concept virtually implemented
  • Core laboratories implemented
  • Purchasing power consolidated
  • Computerization with most sites linked
  • Centralized governance structure Effective utilization management program

Average

  • Some cooperative arrangements
  • Some core laboratories
  • Some shared purchasing and use of buying groups
  • Computerization with some sites linked
  • Multiple governance structures

Low

  • Autonomous laboratories
  • Limited or no core laboratories
  • No shared purchasing, use of some buying groups
  • Limited/no computerization; no computer linkages
  • Multiple governance structures
  • Limited or no utilization management program

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:

  • productivity improvements through technology;
  • outsourcing part of production process; and
  • reduction in overall meal days associated with reduced inpatient days.

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

  • Shared management, common non-selective menu (7 - 9 days), common nutritional protocols.
  • Outsourcing of 80% or more of food products, reducing the level of on-site production.

80 + beds

  • Shared management, common 7-9 day non-selective menu, common nutritional protocols.
  • Outsourcing of 80% or more of food products, reducing the level of on-site production.
  • Cold plating and advanced meal delivery system(1).

Model B - Shared Management, Outsourcing and Meal Assembly

All sizes

  • Shared management, common non-selective menu, common nutritional protocols.
  • Outsourcing of 80% or more of food products, reducing the level of in- house production.
  • Centralized cold plating and warewashing (see assumptions).
  • Distribution of trayed and/or bulk meals from central facility(s) to consolidated hospitals.
  • Advanced meal delivery system(1).

 

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

  • 80% to 100% outsourcing of food products.
  • Cold plating and use of an advanced meal delivery system for meal re-thermalization and delivery.
  • Efficient hospital layout in terms of meal distribution.

> 2,750

Average

  • Mix of outsourced foods and on-site production.
  • Hot plating.

Between 2,250

and 2,750

Low

  • On-site production.
  • Hot plating.
  • Inefficient hospital layout in terms of meal distribution.

< 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)

-Notices attached (Word Document)
News Release attached
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