OCCUPATIONAL HEALTH (in the context of NHI)

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Presentation transcript:

OCCUPATIONAL HEALTH (in the context of NHI) MMPA Congress 19 May 2012

Overview The proposed NHI Funding & Delivery of Health Care in the context Workplace Programmes (focus on mining) Macro - level Meso - level Micro - level Conclusion

POLICY ISSUE ICREFORMS $$(4.2% of GDP) R2,766.00 per capita R103 billion PUBLIC $$$$$$$$$$$$$$ (4.1% of GDP) R11,150.00 per capita R113.1 billion (R90 billion + OOP) PRIVATE Fee for Service Salaries; budget deficit; historical budgets

CHALLENGES SA health system is inequitable.............with the privileged few having disproportionate access to health services Recognition that this system is neither rational nor fair Current system of healthcare financing is two tiered Source: 2012 - National Department of Health Presentation to mining sector stakeholders’ workshop (02 February 2012)

PROPOSED HEALTH REFORMS To address the fragmentation and inequity requires a healthcare financing mechanism that covers the whole population such as NHI Furthermore, four interventions need to also happen simultaneously, a complete transformation of healthcare service provision and delivery; the total overhaul of the entire healthcare system; the radical change of administration and management; and the provision of a comprehensive package of care.

MACRO – LEVEL

FINANCING INTERMEDIARIES (IN 2005 Rand terms) National Department of Health: 1 billion Local Departments of Health: 1 billion Provincial Departments of Health: R45.5 billion Household out-of-pocket: R16.5 billion (~ underestimate) Medical Schemes: R54.2 billion Firms’ direct payments: ± R1 billion Source: McIntyre D, Thiede M, Nkosi M, et al. A Critical Analysis of the Current South African Health System: SHIELD Work Package 1 report.(2007)

PAUCITY OF DATA ON WORKPLACE PROVISION OF CARE “ Despite the active role of the private sector in health care provision in the workplace, sourcing of data proved problematic as it was neither available nor accessible. Consequently, most of the data were sourced from governments departments, policy documents, company reports and through personal communication.” Source: Adams S, Morar R, Kolbe-Alexander T, Jeebhay M. Health and Healthcare in the Workplace. In: Harrison S, Bhana R, Ntuli A, eds. South African Review 2007

THE MINING MODEL – extract from IMSA NHI Policy Brief 15 A 1997 Report: 66 mine hospitals with a total of 6, 088 beds Extensive primary care facilities 29% reduction in the number of mine hospital beds between 1985 and 1997 Source: Söderlund N, Schierhout G, Van der Heever A. Technical Report to Chapter 13 of the 1998 SA Health Review. A report to Health Systems Trust by the Centre for Health Policy. A 2006 Report 5 mine hospitals 1, 470 beds (5.3% of the total private beds) Source: Matsebula T, Willie M. Private Hospitals. In: Harrison S, Bhana R, Ntuli A, eds. South African Health Review 2007. Durban: Health Systems Trust; 2007 IMSA Policy Brief: This reduction over ten years seems unrealistic and it is possible that some hospitals classed as “independent” or belonging to one of the groups had previously been mine hospitals

MEDICAL SCHEME MEMBERSHIP (2009)

MACRO-LEVEL – ??? Paucity of data Under-estimation of funding & provision of health care in the private (not-for-profit) sector Segmentation “Not considered a major player in the funding and provisions of health care”

Meso – level

POLICY DICHOTOMY FOR MINING Comprehensive & integrated workplace programmes Health Insurance Market (Private/Social Insurance) Employee Wellness (incl. OHC) Policy shift towards NHI Mining industry commitments on health Chronic Disease Screening, Monitoring ........“Management” Push for freedom of choice (medical schemes)

FRAMEWORK: FACTORS THE UNDERMINE THE PHC APPROACH

GEOGRAPHIC LOCATION & EXPANSION What about the Families Living in labour sending Areas Loss in economies of scale

MESO-LEVEL – ??? Lack of explicit trade-offs Employee benefits versus health-related commitments Under-utilisation/closure of facilities Segmentation

MICRO – LEVEL

FRAMEWORK ON PRIVATE - PUBLIC FINANCING & PROVISION   FINANCE PUBLIC PRIVATE PROVISION (public financing % public provision - traditional public sector role (private financing & public provision) (public financing & private provision (private financing & private provision)

FRAMEWORK ON PRIVATE - PUBLIC FINANCING & PROVISION   FINANCE PUBLIC PRIVATE PROVISION _ ↑ in Medical Inflation (no provisions) ↑ in Out-of-Network Provision (Mainly - PMB Driven) ↓ in Internal Global Budgets ↑ in Medical Aid Contributions ↓ in Capitation Fees

Inputs Process Outputs FRAMEWORK ON PRIVATE - PUBLIC FINANCING & PROVISION Inputs Process Outputs Facilities Human Capital Equipment IT system Consumables Programmes Clinical Pathways Clinical Operational Ownership Organisation Contractual Arrangements

Differentiated Benefits (by option) PROVISION OF HEALTH CARE FUNDING OF HEALTH CARE Capitation Fees Statutory Occupational Health programmes EAP Emergency Care Wellness components Rehabilitation Capitated Fees Medical Scheme Contributions Endogenous component Closed Scheme ↑ exogenous component of the budget Open Scheme Diminishing Budget/Revenue Disease Management & Curative Care HIV & TB Summit Commitments Surrounding Communities Differentiated Benefits (by option)

MICRO-LEVEL – ??? Implementation of programmes must take into account the health care setting & structure Marginal changes in programme processes/outputs places additional burden on current resources Huge changes in funding arrangements may inevitably lead to a need to review the entire organisation of health care Trade-offs must be explicit

CONCLUSION: INTEGRATED MANAGEMENT & REPORTING – UTOPIA OR MINE FIELD During changes in the funding and provision of health care – consideration must be given to macro, meso and micro – level implications Noble macro objectives can have unintended consequences at a micro level Different funding and delivery arrangement – affect location, ownership and record-keeping of data Issues of confidentiality Workforce Health Employment Data Morbidity & Mortality Wellness/ Disease management Occupational Health Rehab Separation After Care

Thank you