Long-term care has a distinctive financing problem: somebody pays even when no formal payment system exists. An older Indonesian who needs help bathing, preparing meals, moving around the home or remaining safe with dementia may receive that support from a daughter, spouse or neighbor rather than a paid service. No invoice is issued, but time is consumed, employment may be reduced and household resources are redirected. What appears inexpensive to the public budget can therefore be costly to the family.
This question is becoming more important as Indonesia moves deeper into population aging. The Indonesia Aging, Long-Term Care & Community Support Knowledge Hub examines a demographic transition that is increasing the importance of prevention, family support, community services and formal long-term care. BPS-Statistics Indonesia's 2025 Intercensal Population Survey placed people aged 60 and over at almost 12% of the population, while national planning work has projected a substantially larger older population by 2045.
Indonesia is not starting from an institutional blank sheet. Jaminan Kesehatan Nasional provides national health-insurance coverage; central and local governments fund health and social programs; Puskesmas and community structures provide important local infrastructure; social protection supports some economically vulnerable older people; families remain central to everyday care; and community-based long-term care models are being developed and tested. The financing challenge is to connect these elements without pretending that health insurance, family care and long-term care are the same thing.
The central policy question is therefore broader than how Indonesia should pay for a new service. It is how the country should distribute the growing costs of dependency between individuals, families, communities, local government and national systems while protecting dignity, equity and fiscal sustainability.
Long-Term Care Costs Are Already Present
Financing debates can imply that long-term care becomes a cost only when government creates a formal benefit. In reality, care needs already generate expenditure and economic consequences.
An older person who loses functional independence may need medicines, rehabilitation, assistive equipment, transport, home adaptations, personal assistance, supervision and help with domestic activities. Some elements may fall within healthcare pathways. Others may be paid privately. Many are provided without payment by relatives.
The distinction is economically important. If a daughter leaves paid employment to provide care, the household experiences lost income even though no formal care expenditure appears in a government account. If an older spouse provides physically demanding assistance without support, the eventual consequence may be deterioration in the caregiver's own health. If rehabilitation is interrupted because transport is unaffordable, functional decline may later increase healthcare and care costs.
Financing policy therefore needs to recognize at least four forms of cost:
- public expenditure on health, social protection and locally supported services;
- direct household expenditure on care, transport, equipment and related needs;
- unpaid caregiving time and associated loss of employment or economic activity;
- downstream costs created when insufficient support leads to preventable deterioration or greater dependency.
Looking only at formal long-term care expenditure understates the economic footprint of aging. The stronger analytical approach is to ask where costs currently sit, whether that distribution is equitable and whether it will remain sustainable as the number of older people increases.
Indonesia Does Not Yet Have One Comprehensive Long-Term Care Financing System
Indonesia's current arrangements are better understood as a combination of systems than as a single national long-term care entitlement.
Jaminan Kesehatan Nasional, administered by BPJS Kesehatan, pools health risk and finances covered healthcare. It is fundamental to older people's access to clinical treatment, but it should not be interpreted as comprehensive insurance for continuing personal care or assistance with everyday living.
Social protection provides another part of the architecture. National and local programs can support economically vulnerable households and older people, but income support is different from a defined long-term care package. Money available to a household may help it cope with care costs without guaranteeing that appropriate services exist locally.
Local governments also matter because Indonesia's decentralized system gives provinces and kabupaten/kota important responsibilities across health and social welfare implementation. Their fiscal capacity, workforce, infrastructure and local priorities differ. Village and kelurahan institutions can add another layer of community organization.
Alongside these public mechanisms sit private expenditure, charitable and community activity, and extensive unpaid family care.
This mixed arrangement can be flexible, but it can also obscure responsibility. When an older person needs sustained assistance rather than medical treatment, families may struggle to determine which institution can help, whether support is available and who will pay.
As Indonesia develops long-term care policy, one of the first financing requirements is therefore conceptual clarity. Policymakers need to define what constitutes long-term care, which needs attract public responsibility and how that responsibility interacts with healthcare, disability support, poverty reduction and ordinary family life.
JKN Is Essential but Cannot Carry the Whole Financing Burden
JKN has changed the financial architecture of Indonesian healthcare by pooling the costs of covered medical need across a national insurance system. That achievement becomes more valuable as population aging increases demand for chronic-disease management, diagnostics, medicines, specialist treatment, hospital care and rehabilitation.
Yet extending every form of long-term assistance into health insurance would create both conceptual and financial problems.
Long-term care is frequently labor intensive and prolonged. A person with advanced dementia may require supervision every day for years. Someone with substantial mobility impairment may need help several times each day even when their medical condition is stable. The principal cost is often human assistance rather than clinical intervention.
A health-insurance benefit is designed around a different set of risks and provider relationships. Although health and long-term care overlap, treating all dependency as healthcare could medicalize everyday support while creating major new liabilities for an insurance system already required to maintain its own sustainability.
The stronger approach is to design explicit interfaces. JKN can finance appropriate covered healthcare while another combination of public funding, social protection, local resources, personal contributions and family support addresses continuing care.
That separation should not produce fragmentation. A hospital discharge, for example, may end an insured clinical episode while beginning a substantial period of long-term support. Financing responsibility can change without forcing the older person and family to navigate an institutional void.
A hospital bill is covered, but the next six months are not simple
A 76-year-old woman in West Java fractures her hip after a fall. Her hospital treatment is covered through the appropriate JKN pathway, and she is discharged after clinical stabilization. Before the fall she lived with her son and daughter-in-law and managed most personal activities independently.
She now needs assistance getting out of bed, bathing and using the toilet. Rehabilitation could improve her function, but progress will take time. Her daughter-in-law works outside the home and cannot provide continuous support. The family considers paying someone locally to help during working hours.
The financing problem is no longer primarily the cost of surgery. It is the cumulative cost of assistance, transport to rehabilitation, equipment and reduced family working time.
If the family can afford reliable help, recovery may proceed while employment is maintained. If it cannot, the daughter-in-law may reduce her hours or the older woman may remain inactive for long periods. That can increase deconditioning and future dependency.
The scenario illustrates why long-term care financing cannot be judged only by whether medical treatment was insured. A sustainable system needs to consider the economic bridge between treatment and restored or supported daily life.
Families Function as Indonesia's Largest Care Resource
Family care is embedded deeply within Indonesia's social and cultural landscape. The Indonesia Longitudinal Aging Survey has shown the continuing importance of multigenerational living, with more than half of surveyed older people living in multigenerational households.
This provides an important source of resilience. Relatives know the older person's preferences, language, routines and social relationships. Family presence can help people remain at home rather than entering institutional care. Informal networks can also respond flexibly in ways that formal services struggle to reproduce.
But family availability should not be mistaken for unlimited care capacity.
Smaller families, migration, urbanization and women's participation in employment can change who is available to provide daily support. A household may be multigenerational while all working-age adults are absent during the day. Adult children may live hundreds of kilometers away. Older spouses may themselves be frail.
Care intensity also matters. Preparing meals for an independent parent is fundamentally different from providing repeated transfers, continence support or continuous dementia supervision.
A financing model that assumes families will absorb any care not publicly funded therefore carries significant equity risks. Families with higher incomes can purchase assistance. Poorer households may have to substitute unpaid labor, even where doing so reduces employment and entrenches financial vulnerability.
Indonesia's long-term care debate consequently needs to move beyond the binary choice between “family care” and “formal care.” Sustainable financing should enable families to remain involved without requiring them to become the unfunded provider of last resort.
The Hidden Price of Unpaid Care Is Unevenly Distributed
Unpaid caregiving has distributional consequences because the burden does not fall evenly across society. Gender, income, geography, family structure and employment all influence who provides care and what that care costs them.
Women are particularly important to this analysis. Across many societies, including Indonesia, women provide substantial unpaid family care. They may also have weaker lifetime access to formal employment, pensions or financial assets. An aging system that depends heavily on unpaid female labor can therefore reproduce inequality across generations.
The cost is not confined to lost wages. Intensive caregiving can affect health, social participation and the caregiver's ability to plan for their own later life. A woman in her fifties who leaves employment to care for a parent may lose earnings today and pension or savings capacity for tomorrow.
For poorer households, the trade-off can be sharper. Paying privately for regular care may be unrealistic, yet withdrawing a working-age family member from employment can deepen poverty. Families can become trapped between an older person's legitimate need for assistance and the need to maintain household income.
Financing policy should therefore recognize caregiver capacity as a system variable rather than an inexhaustible private resource. Possible support does not have to mean paying every family member a wage. Training, respite, flexible community services, navigation, equipment and targeted financial assistance can all change the economic burden.
Organizations examining similar community and family-support systems can use the Community Impact Report Builder to structure evidence about outcomes that conventional service-volume measures can miss, including wider effects on families and community participation. It is not an Indonesian funding framework, but it illustrates why the impact of support should be measured beyond the direct recipient alone.
Community-Based Care Could Change the Cost Structure
Indonesia's emerging community-based long-term care work provides an alternative to assuming that increasing dependency must eventually produce a large institutional care sector.
ADB-supported pilots in Yogyakarta and Bali have tested community care hubs, case management, care teams and integrated person-centered support. The pilots operated in five communities and were designed around existing local assets rather than importing an institutional model wholesale. Evidence from the program also showed variation between locations in coverage, quality and stakeholder engagement, which is important when considering scale.
The financial significance of community-based care lies partly in its ability to organize resources differently.
A community hub can identify people earlier, coordinate existing services, mobilize appropriate local support and connect older people with healthcare and social resources. Some needs may be addressed without expensive institutional provision. Families can remain involved while receiving more structured assistance.
But community care is not free care.
Case management requires skilled time. Workers need training and supervision. Home visits involve transport. Digital systems need development and maintenance. Equipment costs money. Complex cases need access to professionals. Quality assurance and safeguarding require infrastructure.
Volunteers and community cadres can strengthen reach, but relying on unpaid community labor to deliver increasingly complex long-term care would simply relocate the financing problem.
The lesson from pilots is therefore not that Indonesia can create long-term care cheaply by using communities. It is that community infrastructure can help resources work more intelligently when formal financing, defined roles and local capability support it.
A community identifies needs that no single budget owns
A village in Yogyakarta has an increasing number of older residents living with mobility limitations. Local community activity identifies several people who rarely leave their homes. Some have chronic diseases managed through the Puskesmas; others mainly need practical assistance, safer mobility and social contact.
The village can mobilize community support, but needs quickly cross institutional boundaries. One resident needs clinical review. Another would benefit from a walking aid. A third needs regular help with personal care. A fourth has an exhausted daughter providing dementia supervision.
No single funding stream neatly covers the entire group.
A community-based approach can coordinate assessment and make better use of existing resources, but coordination does not create the missing service. If regular personal assistance is required, somebody must finance the worker. If a caregiver needs respite, there must be capacity to replace them safely.
The local governance question therefore shifts from “What can volunteers do?” to “Which needs can existing programs meet, where are the gaps, and which level of government has the authority and resources to address them?”
That distinction is crucial to scaling. Pilot enthusiasm can mobilize local action; sustainable long-term care requires predictable financing after the pilot ends.
Decentralization Makes Local Fiscal Capacity Part of the Care Model
Indonesia's decentralized administrative structure creates both opportunity and complexity for long-term care financing. National government can set strategic direction, establish frameworks and support financing, but implementation occurs across provinces, kabupaten/kota, villages and urban communities with very different demographic profiles and institutional capacity.
Local flexibility is valuable because care needs in central Jakarta, rural Java, Bali or a remote island district are not identical. Local government can adapt delivery to geography, available providers, community institutions and cultural expectations.
However, decentralization can also produce inequity if the ability to develop services depends too heavily on local fiscal capacity or leadership. Wealthier or administratively stronger areas may be better positioned to establish coordinated services, while places with weaker revenue bases and dispersed populations face greater unit costs.
This creates an important national financing question: which elements of long-term care should be guaranteed or supported nationally, and where should local discretion begin?
A purely local model risks geographic inequality. A fully centralized delivery model risks ignoring Indonesia's enormous diversity. The likely requirement is a layered approach in which national policy establishes financing principles and minimum expectations while local governments retain meaningful flexibility over implementation.
Equal treatment does not necessarily require identical service models. A remote island community may organize support differently from an urban municipality. The equity test is whether people with comparable levels of need have a reasonable prospect of receiving effective assistance rather than whether every district uses the same organizational structure.
Social Protection and Long-Term Care Have Different Purposes
Indonesia's social protection architecture is another essential part of the financing picture. Cash transfers and other forms of assistance can protect poorer older people and households against economic hardship.
But income protection and care provision should not be conflated.
A cash benefit can help a household purchase food, transport or other necessities. It may contribute indirectly to care costs. Yet money does not guarantee that a trained care worker, rehabilitation service or dementia-support option exists in the locality.
Conversely, providing a care service does not solve all financial insecurity. An older person may receive practical support while remaining unable to meet other living costs.
A mature financing system therefore needs both dimensions: protection against poverty and mechanisms for meeting care needs.
Targeting also raises difficult policy choices. Means-tested support concentrates scarce public resources on people with lower incomes, but long-term care costs can impoverish households that were not previously poor. A middle-income family facing years of intensive dementia care may experience significant financial strain even if it does not qualify for narrowly targeted assistance.
Needs-based and income-based eligibility answer different questions. The first asks how much care a person requires. The second asks how much they can reasonably contribute toward its cost.
Separating those assessments can make financing more transparent. A person should not have to appear functionally independent merely because their family has income, nor should financial eligibility automatically determine the clinical or functional assessment of need.
A Future Financing Model Needs a Credible Assessment of Need
Whatever financing mechanism Indonesia ultimately develops, eligibility will require a defensible way of determining care need.
Long-term care assessment differs from diagnosis. Two people with diabetes and arthritis can have very different abilities to manage daily life. Cognitive impairment, mobility, continence, communication, housing, family support and environmental barriers can all influence dependency.
Assessment also determines expenditure. If thresholds are very restrictive, public costs may be contained while families absorb substantial unmet need. If eligibility is broad but benefit levels are undefined, financial commitments can become difficult to predict.
The design challenge is to create an assessment that is sufficiently standardized for fairness but sufficiently person-centered to recognize real circumstances.
ADB's community-based care work in Indonesia has included risk screening and care-needs assessment as part of pilot development. This is significant because assessment is not merely a clinical task. Once linked to publicly financed support, it becomes a gateway to resources and therefore a governance function.
Decision-making needs transparency, review and appropriate routes for challenging errors. Data from assessment can also help local and national government understand the distribution of dependency and forecast future demand.
Organizations examining comparable governance arrangements can use the Governance Maturity Assessment to structure questions about accountability, decision rights and assurance. It does not determine Indonesian eligibility, but the underlying governance principle is relevant: when assessments control access to scarce support, responsibility for those decisions must be clear.
Workforce Economics Will Determine the Real Cost
Long-term care financing is ultimately workforce financing because personal support is labor intensive.
Technology can improve scheduling, information sharing, remote consultation and monitoring, but it cannot eliminate the need for human assistance with eating, mobility, personal care, reassurance or relationships. Indonesia therefore needs to consider not only how many care workers might be required, but what kind of employment market will support them.
Low wages can make services appear affordable in the short term while producing turnover, weak recruitment and poor continuity. Informal employment can expand supply but make training, supervision and accountability harder. Excessively clinical qualification requirements, on the other hand, could make routine support unnecessarily expensive and scarce.
The stronger opportunity lies in developing a differentiated workforce. Community cadres, family caregivers, personal-care workers, nurses, rehabilitation professionals, social-welfare practitioners and specialist clinicians can contribute different competencies.
Funding arrangements should reflect those distinctions rather than paying every task as healthcare or assuming every non-clinical task can be unpaid.
Indonesia also needs to consider career pathways. A growing care economy can create employment, particularly for women, but only if care work develops sufficient status, training and progression to become sustainable employment rather than another form of undervalued labor.
A paid care market emerges without a common quality framework
In a growing city, more families begin privately hiring people to support older relatives at home. Demand grows because adult children work and institutional care is neither preferred nor readily available.
The market responds quickly. Some workers have nursing or caregiving experience; others have little formal training. Families negotiate pay directly. Wealthier households can afford continuous support while others purchase only a few hours.
This private response demonstrates genuine demand, but it also creates governance questions. Families may have difficulty judging competence. Workers can have uncertain employment conditions. There may be no consistent mechanism for supervision, replacement, safeguarding or continuing development.
If government later subsidizes home care, it inherits a strategic choice. It can simply reimburse activity within the existing informal market, or it can use financing to shape quality by defining worker competencies, provider responsibilities and minimum service expectations.
Public money therefore does more than purchase care. The way it is paid can influence the structure of the market itself.
Financing reform should anticipate that effect rather than treating quality regulation as something to add after a provider market has expanded.
Payment Design Can Shape Quality as Well as Access
Once public financing expands, the method used to pay services becomes consequential.
Simple hourly or activity-based payment is relatively understandable: providers are paid for defined units of support. It can facilitate market entry and make expenditure visible, but it may also reward activity rather than independence. A service can be financially incentivized to continue doing tasks for someone rather than helping them regain the ability to perform those tasks themselves.
Block or population-based funding can provide greater flexibility but requires stronger governance to demonstrate that resources reach the intended population. Outcome-linked approaches can encourage attention to independence and quality, but outcomes in long-term care are complex. Maintaining function for a person with progressive dementia may represent excellent care even when conventional improvement is impossible.
Indonesia does not need to select a single payment method for every form of support. Different services may require different mechanisms.
The more important principle is alignment. Payment should not unintentionally reward unnecessary dependency, rapid staff turnover, avoidable institutionalization or exclusion of people with complex needs.
Quality evidence also needs to be proportionate. Small community providers should not face administrative requirements so burdensome that only large organizations can participate, but public financing still requires accountability for safety, delivery and outcomes.
The Quality Dashboard Builder offers organizations examining comparable systems a way to structure a focused set of service and outcome indicators. It is not an Indonesian reimbursement framework, but it reflects an important financing principle: payment decisions become stronger when activity, quality, continuity and outcomes can be examined together.
Private Contributions Raise Questions of Affordability and Fairness
Public financing does not necessarily require government to pay the entire cost of long-term care for every person. Many international systems combine collective funding with individual contributions.
For Indonesia, any future contribution model would need to reflect substantial differences in income, wealth, formal employment and social-security participation. A uniform charge can consume a very different share of resources for a low-income rural household than for an affluent urban family.
Means-tested contributions can improve progressivity but increase administrative complexity. Asset-based approaches raise questions about property, inheritance and whether housing wealth can realistically be converted into care payments without destabilizing the older person's home. Insurance contributions require consideration of Indonesia's large informal economy and the transition period before a contributory system matures.
There is also an intergenerational question. Current working-age populations may be asked to finance care for today's older people while simultaneously saving for their own later life. Introducing a dedicated contribution system therefore requires careful transition design.
The objective should not simply be to maximize private contributions. It should be to create a distribution of responsibility that people can understand and that protects households from catastrophic care costs.
Predictability matters. Families can plan more effectively when they know what public support exists, what they may need to contribute and what happens if needs increase. Uncertainty itself creates financial risk.
Residential Care Should Not Become the Default Financing Shortcut
As formal care demand grows, institutional provision can appear administratively attractive. A residential facility concentrates workers, infrastructure and residents in one location, making services easier to organize and monitor than thousands of dispersed home-care arrangements.
But administrative convenience should not determine the future shape of Indonesian long-term care.
National policy increasingly emphasizes aging in place, and Indonesia's community and family structures create strong reasons to develop support around ordinary homes. Residential services will still have a legitimate role for some people, including those whose needs cannot safely or sustainably be met at home.
The financing system should therefore avoid creating incentives that make residential care easier to fund than community support regardless of individual preference or need.
This problem has appeared internationally where different programs finance institutional and community services through separate rules. Families can encounter the paradox that public support becomes available only after the person leaves home.
Indonesia has an opportunity to design the financing architecture before such distortions become deeply embedded.
Aging in place is not automatically cheaper in every individual case. Supporting someone with very high needs across a remote location can be resource intensive. The argument for community care is broader: autonomy, relationships, cultural connection and the possibility of using flexible support before dependency becomes severe.
Financing should therefore support the most appropriate setting rather than assume that either home or residential care is always the lowest-cost answer.
Technology Can Improve Financial Control but Does Not Remove Care Costs
Digital infrastructure can make a future long-term care financing system more manageable. Assessment records, eligibility decisions, service plans, provider payments and outcome information can be connected more effectively than through fragmented paper processes.
Digital case management was one element considered within Indonesia's community-based long-term care development, including work associated with the elderly care information system, SILANI. The potential value is substantial: decision-makers can understand who receives support, what services are delivered and whether needs change.
But digitalization introduces its own governance requirements. Older people need accessible routes that do not assume smartphone ownership or digital literacy. Families need clarity about how information is used. Providers need systems that reduce rather than multiply administrative workload. National and local data need sufficient interoperability to support planning without creating unnecessary surveillance.
Technology can also help detect unusual billing, duplicate services or gaps in delivery if formal public financing expands. Yet a sophisticated payment platform cannot solve inadequate benefit levels or insufficient workforce capacity.
Organizations considering comparable transitions can use the Digital Transformation, AI and Cybersecurity Readiness Assessment to test whether governance, workforce, privacy and operational capability are developing alongside technology. The relevance is structural rather than regulatory: digital finance systems are only as reliable as the service model and controls beneath them.
National Financing Needs to Account for Geographic Inequality
Indonesia's geography makes long-term care financing unusually sensitive to location.
Home care in a dense urban neighborhood can allow a worker to support several people within a relatively small area. The same number of visits across dispersed rural or island communities can require substantial travel time and cost. Specialist supervision and rehabilitation may also be more difficult to access.
A national payment rate that ignores geography could therefore produce nominal entitlement without viable local provision. Providers may simply avoid areas where delivering the service costs more than the payment received.
Funding formulas may eventually need to recognize population density, transport, workforce availability, poverty and local care demand. This does not mean every difference requires a complex national adjustment. It means financial design should be tested against real delivery conditions before uniform assumptions are embedded.
Local innovation can help. Community workers, telehealth, mobile services and partnerships with existing Puskesmas or village structures may reduce some costs. But efficiency should not become a justification for accepting systematically lower access in remote areas.
The governance test is whether financing arrangements make reasonable access possible across Indonesia's diversity rather than whether every region receives identical inputs.
A remote district faces a higher price for the same promise
A district in eastern Indonesia estimates that a growing number of older residents need regular home support. A proposed service model works well on paper when calculated using urban assumptions: workers can complete several visits each day and receive clinical advice when required.
Local mapping changes the calculation. Villages are dispersed, transport is difficult and the available trained workforce is small. A worker may spend as much time traveling as providing care.
If the district is expected to deliver the same service using the same unit price as a dense urban area, it has three choices: restrict access, shorten visits or operate at an unsustainable cost.
A stronger financing response acknowledges the structural difference. The district explores clustering visits, training local workers, linking supervision with the Puskesmas and using remote professional advice where appropriate. National or provincial financing recognizes unavoidable geographic costs rather than treating them as local inefficiency.
The outcome is not an identical service to the city. It is an equitable service adapted to local conditions.
This is an important principle for Indonesia: national long-term care promises will become meaningful only when their financing survives contact with the country's geography.
Data Will Determine Whether Financing Remains Sustainable
Indonesia cannot design a sustainable long-term care financing system from demographic projections alone. It needs progressively better information about functional need, service use, household circumstances, costs and outcomes.
The 2025 BPS aging statistics and the Indonesia Longitudinal Aging Survey strengthen the evidence base, while community pilots provide more detailed operational learning. The next stage is to connect population evidence with financing decisions.
Government needs to understand not simply how many older people exist, but how many require different levels of assistance, how needs vary geographically, how much support families provide and what formal services cost to deliver.
Longitudinal data are especially valuable because dependency changes over time. Prevention and rehabilitation may reduce need for some people. Dementia and other progressive conditions may increase it. Caregiver availability can change suddenly after illness, migration or bereavement.
Financial modelling should therefore test different scenarios rather than rely on a single forecast.
Questions include how expenditure changes if healthy life expectancy improves, if family availability declines, if formal workforce wages rise or if community support delays institutional care. These are not reasons to postpone action until every variable is known. They are reasons to build a financing architecture capable of learning and adjustment.
The Strongest Model May Be a Deliberate Mixed System
Indonesia's eventual answer is unlikely to be a pure model in which one institution finances every long-term care need. Its existing administrative, health, social and community architecture points toward a mixed system.
Such a model could combine national financial protection for defined levels of care need, local responsibility for organizing services, JKN coverage for healthcare, targeted social protection, reasonable personal contributions where affordable, and continued family involvement supported rather than assumed.
The precise balance requires political and fiscal decisions that cannot be settled by international analogy.
Countries such as Japan have dedicated long-term care insurance systems, while other jurisdictions rely more heavily on taxation, local government or means-tested support. Those systems reflect different histories, revenue structures and public expectations. Indonesia's large informal economy, decentralized government, geography and existing community institutions create a different starting point.
The transferable lesson lies less in copying a particular financing mechanism and more in making responsibility explicit.
People should be able to understand what support exists, how eligibility is determined, who pays, what happens when needs increase and where responsibility sits when services are unavailable. Providers need sufficient predictability to invest in workers and quality. Local governments need resources proportionate to responsibilities. National government needs visibility of whether geographic and socioeconomic inequalities are widening.
A mixed model can achieve those objectives, but only if its components are deliberately connected. Otherwise, “mixed financing” becomes another description for families filling whatever gaps remain.
Financing Should Reward Prevention and Independence
One of the most important opportunities is to design long-term care financing around trajectories rather than dependency alone.
If public support becomes available only after severe functional decline, the system can inadvertently underinvest in interventions that preserve independence. Falls prevention, rehabilitation, assistive technology, caregiver education, nutrition support and modest home adaptations may prevent or delay much more intensive need.
This does not mean every preventive intervention produces a measurable financial saving. The principal purpose is to improve people's lives. But financing arrangements should at least avoid penalizing services for helping people need less support.
For an older person recovering after illness, a period of more intensive restorative assistance may reduce long-term dependency. For someone with progressive dementia, prevention may instead mean maintaining abilities and reducing avoidable crises. Funding models need enough flexibility to recognize both.
The broader economic value can also cross institutional boundaries. A local care intervention may reduce hospital demand funded elsewhere. Respite may preserve a family caregiver's employment. Home adaptations may prevent a fall whose medical treatment would be financed through JKN.
Indonesia's aging strategy therefore needs financial governance capable of recognizing benefits beyond the budget that initially pays for the intervention.
The Next Policy Decisions Will Shape the Care Market for Decades
Indonesia still has an important strategic advantage: the formal long-term care system is developing while the demographic transition is underway rather than after a large institutional structure has become fixed.
That creates room to decide deliberately what kind of care economy should emerge.
Financing can encourage community-based support, restorative practice, formal recognition of care workers and stronger family assistance. Alternatively, poorly aligned incentives could produce fragmented private markets, geographic inequality and excessive dependence on unpaid household labor.
The distinction will be determined by implementation rather than policy language alone.
National planning increasingly recognizes aging in place, healthy aging and cross-sector collaboration. Community-based pilots have generated practical learning. BPS and other evidence sources are improving understanding of the older population. The next stage is to translate those foundations into a financing proposition that can expand as need grows.
That will require staged development. Indonesia does not need to create a comprehensive mature long-term care financing system overnight. It does need to make early decisions compatible with the system it ultimately wants to build.
Pilots should therefore test not only service quality but cost, workforce requirements, household impact and administrative feasibility. Local variation should inform national design. Funding should become more predictable as evidence strengthens. And the contribution expected from families should be made visible rather than remaining the unmeasured residual of the system.
Conclusion
Indonesia's long-term care financing challenge is already present even though a single comprehensive national financing system has not yet emerged. The costs of dependency are distributed across JKN-funded healthcare, government and community programs, private expenditure and, above all, the unpaid time and resources of families. Population aging will make that distribution increasingly difficult to leave implicit.
The strongest forward direction is not necessarily to transfer every cost to government or extend health insurance indiscriminately into everyday personal support. It is to create a clearer settlement about responsibility. Healthcare financing, social protection, local budgets, long-term care funding, personal contributions and family support can coexist, but their boundaries and interfaces need to be understandable and equitable.
Financing will also determine the system Indonesia builds. Predictable resources can support a trained care workforce, community-based services, rehabilitation, caregiver assistance, quality assurance and aging in place. Poorly aligned funding can instead reinforce geographic inequality, hidden unpaid work and preventable dependency.
The central strategic task is therefore to move from an implicit care economy to a deliberate one. Indonesia has time to develop that architecture progressively, using demographic evidence, local innovation and community-based pilots to test what is affordable and effective. But implementation must keep pace with demographic change. Sustainable long-term care will depend not only on finding more money, but on deciding transparently who contributes, what that contribution buys and how resources help older people remain healthy, connected and independent for as long as possible.