Home » Healthcare Statistics Unit (HSU)

Healthcare Statistics Unit (HSU)

About HSU
Healthcare Statistics Unit (HSU) was established in response to the increasing demand of evidence-based policy making. Healthcare policy and planning decisions should be based on systematic and rigorous use of statistics. This is to ensure the effective, efficient and equitable delivery of medical services to public.

Based on the careful analysis of sound and transparent data government could:
1. Forecast future healthcare projections
2. Monitor policy implementation
3. Evaluate policy impact

HSU has been previously assigned to manage the National Healthcare Statistics Initiative (NHSI). The intention of this survey is to put as much statistical information as possible regarding Malaysian healthcare in the public domain in a useful, easy to understand and credible manner. It comprise of a family of four surveys.
1. National Healthcare Establishments & Workforce Statistics Survey (NHEWS)
2. National Medicines Use Survey (NMUS)
3. National Medical Device Survey (NMDS)
4. National Medical Care Survey (NMCS)

It strives to increase understanding of the national healthcare provider’s facilities, activities & workforce, as well as our healthcare performance.

In 2014, HSU has been assigned to contribute towards the Malaysian Health Systems Research (MHSR) plan in these projects:
1. Cost Function & Efficiency Analysis– Ministry of Health Hospitals
 

Malaysia‘s health system is facing significant cost pressures due to the growing burden of non-communicable diseases, ageing population, and citizens‘ increasing expectations for high-quality care. In 2013, hospitals accounted for 61 percent of public health expenditure, amounting to 14.1 billion Malaysian Ringgit(MYR). With limited resources towards health care, the issue of health system sustainability and efficiency has caught the government‘s attention in recent years.

While the Malaysian National Health Accounts provides useful macro-level health expenditure information on an ongoing basis, disaggregated information on how much health services actually cost, such as the cost of an inpatient stay or of an outpatient visit, is not readily available. This study aims to address three main questions using hospital cost functions and stochastic frontier analysis for Malaysian pubic hospitals:

  • What are the marginal and average incremental costs of services for acute care public hospitals in Malaysia;
  • How do public sector hospitals compare with each other on measures of efficiency typically used by economists; and
  • What explains variations in costs and efficiency measures of different public hospitals?
2. Cost Function & Efficiency Analysis– Ministry of Health Primary Care Services
 

Primary care delivery in Malaysia has undergone several changes in the past decades. In 2014, there were 982 health clinics, 105 maternal & child health clinics, 1818 community clinics, 331 1Malaysia clinics and 10 1Malaysia mobile clinics. This three-tiered system with a two-tiered delivery structure we seen today was developed in 1971. The parallel addition of 1Malaysia clinic system was introduced in 2010 to cater for the urban poor.

Disaggregated information on how much the primary care services actually cost, such as the cost per health clinic visit, is not readily available. Information on unit costs can be useful in guiding resource allocation decisions, in forecasting the longer-term consequences of such decisions as well as in determining provider payment rates in settings where financing and provision of services are separate from each other.

Using cost function estimates, this study aims to address three main questions:

  • What are the marginal and average incremental costs of key services provided in public sector health clinics in Malaysia?
  • How do the public primary care fundholding bodies compare with each other on measures of efficiency typically used by economists?
  • What explains variations in costs and efficiency measures of different public primary care fundholding bodies?
3. Performance Analytic Team: Amenable Mortality
 
Amenable mortality refers to deaths that should ideally not occur in the presence of effective and timely interventions, and can be used as an indicator of health system performance. This study provides a comparison of amenable mortality over time, by gender and ethnicity in Malaysia, with benchmarking of performance against member countries of Organisation for Economic Co-operation and Development (OECD) and Sri Lanka.
4. Performance Analytical Team- Quality of Care
 
The quality of clinical care provided by providers to patients is a critical link between the volume of care given to a population, and its ultimate health impact. This study examines variations of clinical quality in the public and private primary care settings in Malaysia. Using a range of validated quality indicators, we analyzed the 2012 and 2014 National Medical Care Statistics (NMCS) dataset.
5 Quality and Cost of Primary Care
 
The Quality and Costs of Primary Care in (QUALICOPC) was developed in 2010 and has been used in 35 countries. This study was formulated to evaluate primary care against the criteria of quality, equity and costs. The main objective of our study is to comprehensively evaluate the breadth of primary care in Malaysia by gathering information on the 10 core dimensions of primary care (Governance of the primary care system, Economic conditions, Workforce development, Access to primary care services, Continuity of care, Coordination of care, Comprehensiveness of care, Quality of primary care, Efficiency of primary care, Equity in health). This vital information will fit into the bigger agenda as Malaysia heads towards an effective health care system.

Organization Chart

Slide 1

Project HSU Publication HSU
Click here… Click here…

Address:
Clinical Research Centre
3 rd Floor, MMA House
Jalan Pahang
Malaysia

Phone: 603-40439300/9400
Fax: 603-40439500
Email: contact@crc.gov.my