Economic & Social Research Institute: 'Projections of Expenditure for Primary, Community and Long-Term Care in Ireland'
The report was written by research officers
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Here are excerpts:
FOREWORD
This report was prepared by researchers at the
The ESRI Research Programme in Healthcare Reform was agreed between the ESRI and the
The ESRI is responsible for the quality of this research, which has undergone national and international peer review prior to publication. This report was prepared by Dr
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TABLE OF CONTENTS
ABBREVIATIONS AND ACRONYMS ... V
FOREWORD ... VII
EXECUTIVE SUMMARY ... VIII
CHAPTER 1 INTRODUCTION ... 1
1.1 Introduction ... 1
1.2 Objectives ... 2
1.3 Overview of the non-acute system ... 2
1.4 Non-acute services included in report ... 7
1.5 System changes during the Covid-19 pandemic ... 10
1.6 Model scope and modelling approach ... 12
1.7 Considering the non-acute data landscape ... 13
1.8 Structure of the report ... 14
CHAPTER 2 BACKGROUND ... 15
2.1 Introduction ... 15
2.2 Drivers of healthcare expenditure ... 15
2.3 Previous evidence on health and social care expenditure in
2.4 Top-down and bottom-up costing ... 22
CHAPTER 3 PROJECTION SCENARIOS AND MODELLING ... 28
3.1 Introduction ... 28
3.2 Macroeconomic scenarios ... 28
3.3 Demographic scenarios ... 30
3.4 Hippocrates model ... 31
3.5 Expenditure projection scenarios ... 36
3.6 Summary ... 39
CHAPTER 4 FINDINGS: GENERAL PRACTICE EXPENDITURES ... 40
4.1 Introduction ... 40
4.2 General practice in
4.3 Data and methods ... 41
4.4 Findings - baseline analysis ... 49
4.5 Findings - expenditure projections ... 52
4.6 Summary ... 55
CHAPTER 5 FINDINGS: PUBLIC HEALTH NURSING AND COMMUNITY THERAPY SERVICES EXPENDITURES ... 58
5.1 Introduction ... 58
5.2 Data and methods ... 59
5.3 Findings - age distribution ... 64
5.4 Findings - baseline expenditure ... 65
5.5 Findings - expenditure projections ... 66
5.6 Summary ... 71
CHAPTER 6 FINDINGS: COMMUNITY PHARMACEUTICAL EXPENDITURES ... 72
6.1 Introduction ... 72
6.2 Community pharmaceuticals in
6.3 Data and methods ... 75
6.4 Findings - baseline analysis ... 79
6.5 Findings - expenditure projections ... 83
6.6 Summary ... 89
CHAPTER 7 FINDINGS: LONG-TERM RESIDENTIAL CARE EXPENDITURES ...
7.1 Introduction ... 91
7.2 Role of long-term residential care in health systems ... 91
7.3 Data and methods ... 92
7.4 Findings - baseline analysis ... 97
7.5 Findings - expenditure projections ... 98
7.6 Summary ... 101
CHAPTER 8 FINDINGS: HOME SUPPORT EXPENDITURES ... 103
8.1 Introduction ... 103
8.2 Role of home support in health systems ... 103
8.3 Data and methods ... 104
8.4 Findings - baseline analysis ... 108
8.5 Findings - expenditure projections ... 110
8.6 Summary ... 113
CHAPTER 9 SUMMARY AND DISCUSSION ... 115
9.1 Introduction ... 115
9.2 Summary and discussion of findings on baseline and projected acute expenditure by service ... 116
9.3 Sensitivity analysis ... 122
9.4 Limitations ... 125
9.5 Policy implications ... 126
9.6 Conclusions and reflections ... 128
9.7 Future research ... 130
REFERENCES ... 132
APPENDIX A LOCAL HEALTH OFFICES AND COMMUNITY HEALTH ORGANISATIONS ... 140
APPENDIX B MEDICAL CARD AND PRIVATE HEALTH INSURANCE COVERAGE ... 141
APPENDIX C WAITING LIST MANAGEMENT: COMMUNITY THERAPY SERVICES ... 142
APPENDIX D COMMUNITY PHARMACEUTICALS ... 146
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EXECUTIVE SUMMARY
INTRODUCTION
This report develops baseline estimates of expenditure in 2019 for ('non-acute') primary, community and long-term care services in
The broad objectives of this report are to:
* provide comprehensive estimates of current expenditure on primary, community, and long-term care services in
* examine the relative impact of demographic and non-demographic factors on projected expenditure;
METHODS
The analysis is undertaken using the Hippocrates Model, a macro-simulation model created by the ESRI. The model is developed from a demand and cost base in 2019 to project expenditures for individual services. Demand is projected through developing and applying assumptions in relation to population change, healthy ageing, and other potential demand drivers. Population projections are provided by the ESRI's demographic model (COSMO) based on assumptions in relation to fertility, mortality and net migration. Demographic assumptions have been updated to reflect the effects of the Covid-19 pandemic to date. Projected activity is then multiplied by projected unit costs in each future period to project expenditure. The unit cost of delivering a unit of service in 2019 is estimated and disaggregated into pay and non-pay components. Projections of government-sector earnings and general inflation inform projected trajectories in pay and nonpay costs. The report does not forecast expenditure but provides projections of expenditure requirements based on clear assumptions on how key drivers of demand and cost will evolve over time.
Projected expenditures for each service out to 2035 are based on scenarios tailored to that service's characteristics. Low-pressure, central and high-pressure scenarios vary assumptions related to population change, healthy ageing, cost drivers, and models of care change for each service.
The report examines most key primary, community and long-term care services in
* general practice
* general practitioners (GP) and practice nurses (PN);
* public health nursing (PHN) and selected primary care community therapy services;
* community pharmaceuticals;
* long-term residential care (LTRC); and
* home support.
SUMMARY OF BASELINE EXPENDITURE
General practice: we estimate that public and private general practice expenditure was
Public health nursing and primary care community therapy services: we estimate that expenditure on publicly funded PHN was
Community pharmaceuticals: we estimate that expenditure on all publicly funded community pharmaceutical schemes was
Long-term residential care: we estimate that expenditure on public and private LTRC was
Home support: we estimate that expenditure on public and private home support was
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TABLE ES.1 Estimated health and social care expenditure, 2019
[Link to table at bottom of document.]
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SUMMARY OF PROJECTED EXPENDITURE
Expenditure is projected to increase across almost all services examined in this report. Figure ES.1 illustrates projected changes in nominal (growth is driven by changes in demand and cost) expenditures between 2019 and 2035 for each respective service's central scenario. The low- and high-pressure scenario results are presented in parentheses.
General practice: Expenditure on general practice is projected to be
Public health nursing and primary care community therapy services: Expenditure on PHN is projected to be
Community pharmaceuticals: Expenditure on the GMS, Drugs Payment (DP) and Long-Term Illness (LTI) schemes is projected to be
Long-term residential care: Expenditure on LTRC is projected to be
Home support: Expenditure on home support is projected to be
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FIGURE ES.1 Projected nominal expenditure growth by health and social care service, 2019-2035
[Link to figure at bottom of document.]
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POLICY IMPLICATIONS
The main finding of this report is that, due to a combination of a growing and ageing population and increasing costs of care delivery, expenditure on primary, community and long-term care will be required to increase substantially by 2035. The findings provide an evidence base for workforce and capacity planning and for the implementation of some Slaintecare proposals.
The scope of the analysis in this report has been hampered by the poor data available for many services. Policymakers should prioritise designing a health data infrastructure that caters for the requirements of both local and national-level service planners. It should allow for accurate day-to-day patient management and facilitate future demand and expenditure projections and workforce planning. Integrating an individual health identifier (IHI) and electronic health record (EHR) would allow for patients to be followed across services and time, to help understand their overall use of services and provide a picture of the complexity of the patients being treated.
Changes in the cost of delivering care, particularly pay-related costs, is the main driver of expenditure growth. In addition, population ageing, and additional modelled demand for HT medicines and the assumed introduction of the statutory home support scheme, are key drivers of expenditure growth. Identifying approaches to address the projected increases in the unit cost of care delivery should be an important consideration of policymakers.
The analysis in this report does not include model of care changes for many services. Follow-up research will examine the potential impact of introducing proposed Slaintecare reforms, specifically regarding changing models of care of specific patient groups, substitution of care across the acute hospital and nonhospital system, and the potential impact of the Covid-19 pandemic.
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View figure, table and full report at https://www.esri.ie/system/files/publications/RS126_0.pdf
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