| Literature DB >> 30367635 |
Huey Yi Chong1, Pascale A Allotey2, Nathorn Chaiyakunapruk3,4,5,6.
Abstract
BACKGROUND: The emergence of personalized medicine (PM) has raised some tensions in healthcare systems. PM is expensive and health budgets are constrained - efficient healthcare delivery is therefore critical. Notwithstanding the cost, many countries have started to adopt this novel technology, including resource-limited Southeast Asia (SEA) countries. This study aimed to describe the status of PM adoption in SEA, highlight the challenges and to propose strategies for future development.Entities:
Keywords: Implementation; Personalized medicine; Pharmacogenomics; Southeast Asia
Mesh:
Year: 2018 PMID: 30367635 PMCID: PMC6203971 DOI: 10.1186/s12920-018-0420-4
Source DB: PubMed Journal: BMC Med Genomics ISSN: 1755-8794 Impact factor: 3.063
Sociodemographic characteristics of key opinion leaders participated (n = 11) in the interview
| Sociodemographic variables | N | % |
|---|---|---|
| Gender ( | ||
| Male | 6 | 55 |
| Female | 5 | 45 |
| Country ( | ||
| Indonesia | 2 | 18 |
| Malaysia | 4 | 36 |
| Singapore | 2 | 18 |
| Thailand | 3 | 28 |
| Professional role ( | ||
| Clinician | 5 | 45 |
| Researcher | 6 | 55 |
Current PM adoption in four focus SEA countries based on six key themes
| Key themes | Indicators | Indonesia | Malaysia | Singapore | Thailand |
|---|---|---|---|---|---|
| Healthcare system | General | ||||
| GDP per capita (Current USD) | 3500 | 11,306 | 56,007 | 5970 | |
| Healthcare financing system | Social health insurance | Tax-funded | Mixture from tax revenue, insurer and patient | Social health insurance | |
| Healthcare expenditure per capita (USD) | 99 | 456 | 2752 | 360 | |
| THE (% of GDP, 2014) | 2.8 | 4.2 | 4.9 | 6.5 | |
| Health coverage (%) | 48 | 100 | 100 | 98 | |
| OOP health expenditure (% of THE, 2014) | 46.9 | 35.3 | 54.8 | 7.9 | |
| PM-specific | |||||
| Presence of PM-related healthcare service delivery | |||||
| 1. Targeted oncology therapy | Yes | Yes | Yes | Yes | |
| 2. PGx testing | Noa | Noa | Yesb | Yesc | |
| 3. Newborn screening | Yes (congenital hypothyroidism) | Yes (congenital hypothyroidism, G6PD) | Yes (congenital hypothyroidism, G6PD, inherited metabolic disorders) | Yes (congenital hypothyroidism, thalassemia, phenylketonuria) | |
| 4. Cancer risk screening | Noa | Yesd | Yesd | Noa | |
| 5. Advance genome sequencing | No | No | Yese | Yese | |
| Presence of PM-related healthcare workforce | |||||
| 1. Medical geneticist | Yes (NR) | Yes (9) | Yes (6 + 2 cancer geneticist) | Yes (11) | |
| 2. Genetic counsellors | Yes (NR) | Yes (2) | Yes (≈10) | No | |
| Financing mechanism | |||||
| 1. Capacity-building | NR | NR | NR | NR | |
| 2. Infrastructure | NR | NR | NR | NR | |
| 3. Research | Cyclic grants from government, university, international collaborators | Cyclic, one-off grant from government, university | Funding from A*STAR | Cyclic, one-off grant from government, university | |
| Governance | National strategy/plan | No | No | National PM initiative (in progress) | No |
| Comprehensive PM legislation/guideline | No | Nof | Nof | No | |
| Ethical, social, legal framework on PM provision | No | No | PM-specific provision standard is in progress | No | |
| Ethical, social, legal framework for genetic data | No | Yes, but no laws related to genetic discrimination by insurance companies | PM-specific standard is in progressg | Yes, but no laws related to genetic discrimination by insurance companies | |
| National PM research centre or large-scale research initiative | No | No | GIS; POLARIS; | PGx projects by TCELS | |
| Direct to consumer test legislation or code of conduct | No | No | Bioethics Advisory Committee recommendations | Existing consumer law | |
| PM working group with multiple stakeholders | No | No | Yes | Yes | |
| Access | HTA body | Yes | Yes | Yes | Yes |
| PM-specific HTA framework | No | No | Noh | No | |
| Multi-stakeholder decision-making group | Yes | Yes | Yes | Yes | |
| Awareness | Patient support/advocacy groups | No | Yes | Yes, but not specific | Yes, but not specific |
| Efforts to increase public awareness | Yes | Yes | Yes | Yes | |
| Patient involvement in healthcare and/or research | Low in research | Low in research | Moderate in research | High in research | |
| Implementation | Centre of excellence/leading institute in PM service | Dr Cipto Mangunkusumo Hospital; Center for Biomedical Research in Diponegoro University | Institute of Medical Research | PRISM | Ramathibodi Hospital; Khon Kaen University Hospital; Siriraj Hospital |
| Education and training for PM and non-PM specialized healthcare workforce including medical school | Yes | Yes | Yes | Yes | |
| Data | EHR | No | No | Yes | Yes |
| Biobank | Hospital-level biobanks | Malaysian Cohort Biobank; UKMMC-UMBI Biobank | SingHealth Tissue Repository; | Hospital-level biobanks | |
| Database | Indonesian National Genetic Database | Malaysian Human Variome Project | Singapore Genome Variation Project database; | Thailand Mutation and Variation database | |
| Patient registry with genetic/genomic data | No | Thalassemia Registry | Singapore Polyposis Registry; Thalassemia Registry; National Birth Defect Registry | No | |
Notes
a Available through special request
b HLA-B*15:02 screening is mandatory in Singapore. UGT1A*6 and UGT1A1*28 testing are available in National Cancer Centre
c HLA-B*15:02 screening is routinely practised in major hospitals. A variety of other PGx testings are available as service in several university hospitals
d BRCA screening is available in a few national/university/ specialised hospitals: University Malaya Medical Centre, Hospital Kuala Lumpur in Malaysia; National Cancer Centre Singapore, National University Hospital in Singapore
e Next-generation sequencing is available in leading hospital: SingHealth-POLARIS in Singapore; Ramathibodi Hospital in Thailand
f Some degree of ethical oversights are governed under the existing national medical genetics service and/or genetic testing guideline
g Includes informed consent, security and confidentiality of information, and disclosure of test results to third parties outside direct healthcare providers
h Genetic test is evaluated as medical device
Abbreviations
A*STAR Agency for Science and Technology Research, EHR electronic health record, GDP gross domestic product, GIS Genome Institute of Singapore, HTA health technology assessment, NR not reported or insufficient information, OOP out-of-pocket, PGx pharmacogenomics, PM personalized medicine, POLARIS Personalized OMIC Lattice for Advanced Research and Improving Stratification, PRISM SingHealth Duke-NUS Institute of Precision Medicine, SAPhIRE Surveillance and Pharmacogenomics Initiative for Adverse Drug Reactions, TCELS Thailand Centre of Excellence Life Sciences, THE total health expenditure, UKMMC University Kebangsaan Malaysia Medical Centre, UMBI UKM Medical Biology Institute, USD United States dollar
Major milestones in the development of PM adoption in Singapore
| Year | Organisation/ Initiative | Funder/Collaboration | Aim |
|---|---|---|---|
| 2000 | GISi | A*STAR | To use genomic sciences to achieve improvements in human health and public prosperity |
| 2013 | POLARIS | GIS, SingHealth | To deliver better patient outcomes through research within SingHealth institutionsj |
| 2014 | SAPhIRE | BMRC and the HSA, GIS, and the Translational Laboratory for Genetic Medicine | To develop an active surveillance network for ADR monitoring and discovery of genomic biomarkers that are predictive of specific ADRs |
| 2015 | PRISM | SingHealth and Duke-NUS Medical School | To drive, promote and standardize the use of PM and Precision Health for improving patient care, focusing on diseases relevant to Asian populations |
Notes
i National flagship program for the genomic sciences
j This includes Singapore General Hospital, National Cancer Centre Singapore, Singapore National Eye Centre, and NUS Health System
Abbreviations
A*STAR Agency for Science and Technology Research, ADR adverse drug reaction, BMRC Biomedical Research Council, GIS Genome Institute of Singapore, HSA Health Sciences Authority, NUS National University of Singapore, POLARIS Personalised OMIC Lattice for Advanced Research and Improving Stratification, PRISM SingHealth Duke-National University Singapore Institute of Precision Medicine, SAPhIRE Surveillance and Pharmacogenomics Initiative for Adverse Drug Reactions
Comparison of the financing and integration mechanisms of three most common PM programs in SEA
| Indicators | Targeted oncology therapy and companion diagnostic | Pharmacogenomics testing | Newborn screening | |
|---|---|---|---|---|
| Trastuzumab |
| Congenital hypothyroidism | ||
| Availability as routine practice | Yes | Indonesia | Singapore (nationwide) | Indonesia (10 provinces in 2017) |
| No | – | Malaysia (special request) | – | |
| Stakeholder that initiated the PM program | Pharmaceutical company | Indonesia | – | – |
| Clinicians | – | Singapore | Indonesia | |
| Financing mechanism | Covered in national health program | Indonesia ( | Thailand (Cap at THB1000) | Indonesia (Limited budget) |
| Partial subsidy by the national health programs | Singapore (under Medical Assistance Fund scheme) | Singapore (Up to 75% subsidy) | Singapore (60% subsidy) | |
| Monitoring framework | Clinical outcome | Malaysia (in future plan) | Singapore | – |
| Integration in healthcare | Change in local clinical practice guideline | Indonesia | Thailand | Indonesia |
| Availability of CDS in EHR | NR | Singapore | NA | |
| Presence of healthcare information | Physician | Indonesia | Singapore | Indonesia |
| Patient | Singapore | Thailand | Indonesia |
Abbreviations
CDS clinical decision support, EHR electronic health record, NA not applicable, NR not reported or insufficient information, OOP out-of-pocket, THB Thai Baht