Financing Long-Term Care in Lithuania: Public Funding, Household Costs and Sustainability

For an older person in Lithuania, the cost of long-term care is determined by more than the severity of their needs. It also depends on whether those needs are treated as healthcare or social care, whether support is delivered at home or in an institution, which public funding route applies, what the municipality organises, the person's financial circumstances and how much unpaid care a family can provide.

This makes financing one of the defining structural issues in Lithuania's developing long-term care system. The country does not fund all continuing care through one unified programme. Health-related long-term care and nursing sit within the healthcare financing architecture, while social services draw on state and municipal resources and, depending on the service, individual contributions. European investment has also helped expand and reshape infrastructure and community provision, while families contribute a large amount of care whose economic value is not fully visible in public expenditure.

This fourth article in the Lithuania Ageing, Long-Term Care & Community Support Knowledge Hub therefore examines financing as an operating system rather than simply a budget question. The central issue is whether money follows need coherently enough to support timely, appropriate and sustainable care as Lithuania's population ages.

Lithuania does not have one long-term care funding stream

The starting point is the division explored in the earlier articles in this series: long-term support crosses Lithuania's health and social systems.

Healthcare is financed substantially through the Compulsory Health Insurance Fund and other public health resources. Where a person's continuing needs fall within covered healthcare, such as qualifying nursing or other health services, financing therefore follows the healthcare system.

Social services operate differently. Municipalities have central responsibilities for organising social services, supported through combinations of municipal resources, state-budget funding and individual payments under the applicable social-services arrangements. The precise financial relationship varies according to the type of service, assessed need and the person's circumstances.

Long-term social care can therefore involve several sources simultaneously rather than one payer meeting the entire cost.

This distinction is administratively understandable. Healthcare and social protection have different legislation, institutions and professional responsibilities. It becomes more difficult when applied to people whose needs do not respect those boundaries.

An older person with advanced frailty may require nursing, assistance with personal care, meal preparation, supervision, mobility support and help maintaining their home. Financing each component through a separate route can make organisational sense while still producing a fragmented experience.

The financial architecture consequently affects more than accounting. It influences assessment, eligibility, service availability, provider incentives, household contributions and the possibility of moving resources from institutional responses towards prevention and community support.

Public financing carries most of the formal system, but through different mechanisms

Public resources finance a substantial share of Lithuania's formal long-term care. The important analytical question is how those resources are distributed.

Health-related long-term care is financed through the health system, particularly compulsory health insurance. Social long-term care relies more heavily on taxation-based public resources, including municipal budgets and transfers or targeted resources from the state budget. Individuals may also contribute towards social services according to rules governing the relevant form of care.

This creates several financial relationships that need to work together:

  • national taxation and state-budget allocations supporting social protection and municipal responsibilities;
  • compulsory health-insurance resources financing covered healthcare and nursing;
  • municipal resources supporting locally organised social services;
  • individual contributions towards applicable social-care costs;
  • European funding supporting elements of infrastructure, reform and service development; and
  • unpaid household resources supplied through informal care.

The system's financial strength cannot therefore be judged from any single budget line. A reduction in expenditure in one part of the system can increase pressure elsewhere. Insufficient home support may lead to greater reliance on relatives, institutional care or healthcare. Limited rehabilitation can contribute to avoidable dependency. Delayed social support after hospital treatment can consume health-system capacity that is no longer clinically necessary.

Good financial governance needs to see these interactions rather than treating each budget as an isolated success or failure.

This connects directly with wider risk management and compliance. Long-term care financing creates strategic risk when organisations can demonstrate control of their own expenditure but cannot see the cost or human consequences being transferred elsewhere.

Municipal finance turns national policy into practical service capacity

Lithuania's municipalities occupy a particularly important position because they organise much of the social-service response. Their financial capacity and spending decisions help determine whether national social policy becomes accessible support in a person's community.

Municipalities do not operate entirely from locally generated resources. Lithuania's intergovernmental financing arrangements include state transfers and grants alongside municipal revenues. Specific social responsibilities can also be supported through targeted state-budget allocations.

Nevertheless, local organisation matters. A municipality has to translate available resources into an actual service mix: home assistance, day support, social care, respite-type provision, residential services and other forms of support appropriate to its population.

The challenge is dynamic. A municipality with a rapidly ageing population may experience rising demand even if its overall population is falling. Rural geography can make home services more expensive because workers spend longer travelling between people. Workforce shortages can raise the cost of maintaining capacity. Residential provision creates substantial fixed costs, while developing community services requires investment before savings elsewhere necessarily become visible.

Financial planning therefore needs to look beyond the next annual budget.

Organisations examining equivalent questions can use the Digital Twin Scenario Modeller to explore relationships between demand, workforce, capacity and service stability. It is not a Lithuanian public-finance model, but the underlying scenario-planning principle is highly relevant: demographic projections only become operationally useful when translated into plausible service and workforce requirements.

Scenario: an ageing municipality cannot budget from last year's activity

A smaller Lithuanian municipality has historically relied on a combination of family support, a limited home-service workforce and residential social-care capacity. Its annual planning process begins with the previous year's expenditure and adjusts individual budget lines.

That approach appears stable until demographic information is considered alongside service data. The municipality's total population is declining, but the number of residents in older age groups is increasing. More people are living alone, adult children are less consistently available locally, and the home-care workforce is becoming harder to recruit.

If the municipality simply increases each existing budget proportionately, it may preserve a service model that no longer matches future demand.

A stronger financial process connects demographic projections with functional need, waiting, workforce capacity and the relative cost of different pathways. Leaders can model what happens if home support expands, what additional workforce that requires, whether residential demand changes and where prevention or rehabilitation could delay higher-cost dependency.

The objective is not to predict every future case precisely. It is to understand which assumptions make the financial plan vulnerable.

Governance then becomes forward-looking. Rather than discovering a capacity deficit only when waiting grows, municipal leaders can identify whether funding, workforce or infrastructure will become the limiting factor and consider cooperation, service redesign or investment before the gap becomes entrenched.

Household contributions are an important part of the social-care equation

Public funding does not mean that every form of long-term social care is free to the individual. Lithuania's social-services framework provides for contributions towards certain services, with the person's income and, in relevant circumstances, assets influencing what they pay.

Residential long-term social care is particularly important because a person's contribution can absorb a substantial proportion of their income. The remaining cost is met through the applicable public funding arrangements, meaning people with lower incomes are not simply expected to pay the full market cost of an institutional place.

Recent international analysis of Lithuania's arrangements has highlighted an important distinction between home and residential care. Public protection can make eligible home care highly affordable for many older people, while residential care can still require significant contributions from income even though public funding meets the balance of the cost.

This matters strategically. Cost-sharing rules influence household finances, perceptions of fairness and potentially the attractiveness of different care options.

Affordability should therefore be considered in relation to disposable income after care costs, not simply whether a person can technically access a service.

A resident entering long-term residential care may retain only a limited proportion of ordinary income after their contribution. Their housing circumstances, partner's position and other financial commitments can make the lived effect different between households even where the charging rule itself is consistent.

Transparent assessment and communication are consequently part of financial quality. People and families need to understand what they are expected to pay, how the contribution has been calculated and what changes if their financial or care circumstances alter.

Affordability is not the same as availability

A well-designed public contribution can protect a person from unaffordable care costs, but it cannot guarantee that the required service exists.

This distinction is particularly important when interpreting long-term care financing. Lithuania can have relatively strong financial protection for an eligible service while still experiencing unmet need because workforce or provider capacity is insufficient.

Money therefore has at least three different functions in a care system. It establishes financial protection for individuals, purchases or supports service capacity, and creates incentives about where and how care is delivered.

Those functions do not automatically align.

A home-care entitlement has limited practical value if a municipality cannot recruit enough workers. Additional funding for residential care does not necessarily support a strategic shift towards community living. A new service funded through a temporary programme can increase access in the short term while creating a sustainability problem when the programme ends.

This is why financial indicators need to sit alongside quality data, KPIs and performance metrics. Expenditure tells decision-makers how much was spent. It does not independently show whether people received timely support, remained independent or experienced continuity.

Unpaid family care is a major source of financing even when no money changes hands

Any analysis of Lithuania's long-term care economy that counts only government, municipal and household cash expenditure will underestimate the resources actually supporting people.

Families provide substantial unpaid care. A daughter who reduces her working hours to visit an older parent several times each week is contributing economically to long-term care even if no invoice is issued. A spouse providing night-time supervision, personal care and transport is supplying labour that would otherwise need to be replaced, at least partly, by formal services.

The fiscal system benefits from that care because public expenditure is lower than it would be if every task were formally purchased. The household can simultaneously incur substantial hidden costs through lost earnings, reduced pension accumulation, travel, adaptations and the physical or emotional effects of intensive caregiving.

Financing policy therefore needs to distinguish between family participation and cost transfer.

Family involvement is often desirable and personally important. It becomes problematic when a formal service model is financially sustainable only because relatives are assumed to absorb increasing levels of unmet need.

The issue also intersects with gender equality. Where women undertake a disproportionate share of unpaid care, reliance on family support can redistribute the economic consequences of population ageing towards women's employment and retirement income.

Lithuania's migration history adds another dimension. Adult children may live in Vilnius or Kaunas while parents remain in smaller communities, or family members may live elsewhere in Europe. Financial assistance can travel across distance more easily than hands-on care.

Strong family partnership and carer support therefore has a financing dimension as well as a person-centred one. Supporting carers can protect valuable informal capacity; treating that capacity as inexhaustible can conceal future public expenditure rather than remove it.

Scenario: the cheapest formal package is not necessarily the lowest-cost arrangement

An 82-year-old woman lives alone in a small town. Her daughter travels from Vilnius twice each week to shop, clean, organise medication and provide personal support. The woman receives a modest amount of formal assistance and therefore appears relatively inexpensive to the municipality.

Over time, her mobility deteriorates. The formal response could remain unchanged because the daughter continues filling the gaps. On a municipal expenditure report, the arrangement still looks efficient.

The wider economics tell a different story. The daughter reduces her employment hours, spends increasing amounts on travel and begins experiencing exhaustion. Eventually she can no longer sustain the arrangement. Her mother's support needs then appear to increase suddenly, although much of the need was already present and privately absorbed.

A more mature assessment recognises informal-care capacity as part of the sustainability calculation. Increasing formal home support earlier may raise immediate public expenditure while preserving the daughter's employment and family relationship, reducing the risk of caregiver breakdown and potentially delaying residential care.

This does not mean every increase in home care produces a cashable saving. It means the relevant economic question is broader than the cheapest service package today.

For Lithuania, where demographic change may reduce the ratio between potential family carers and older people requiring support, that distinction will become increasingly important.

Funding fragmentation can create incentives to move costs rather than solve needs

Separate funding streams create a familiar problem in many international care systems: the organisation making an investment is not always the organisation receiving the financial benefit.

Consider rehabilitation after hospital treatment. Effective rehabilitation and home support may help an older person regain independence, reducing future demand for both healthcare and social services. Yet the resources required may sit across several organisations and budgets.

Similarly, a municipality investing in intensive community support may help prevent avoidable health deterioration, but some of the resulting financial benefit appears in the health system rather than the municipal social-services budget.

The reverse is also possible. If community support is insufficient, a person may remain in or repeatedly return to healthcare services even when the principal unresolved problem is social support.

This is cost shifting: one part of the system controls its own expenditure while another part absorbs the consequences.

International analysis of Lithuania has repeatedly identified fragmented health and social financing as an obstacle to integrated long-term care. Proposals for clearer or more integrated financing need to be understood in this context. The objective is not simply administrative tidiness. It is to make resources easier to align around needs that cross institutional boundaries.

Any future pooling or stronger coordination of funding would require careful governance. Decision-makers would need clarity about contributions, eligibility, responsibility for overspending, allocation methods and how money follows changing demand.

The transferable principle is that integration of services becomes difficult when financial incentives continue to reward separation.

Prevention changes the timing of expenditure

Long-term care financing is often discussed as though governments have only two choices: spend more or restrict access. Prevention introduces a more sophisticated question about when resources are used.

Healthy ageing, falls prevention, rehabilitation, accessible housing, chronic-disease management, social participation and early home support can help some people maintain independence for longer. None eliminates ageing or the eventual need for intensive care, but they can influence the trajectory of dependency.

The financial difficulty is that preventive investment occurs before the avoided or delayed cost becomes visible.

A municipality facing immediate residential-care expenditure may struggle to protect investment in community programmes whose benefits emerge over several years. Similarly, the organisation funding prevention may not receive all the future savings.

This is why health inequalities, prevention and early intervention should be considered part of financial sustainability rather than an optional policy layer.

Prevention also has distributional consequences. Better-educated or wealthier residents may find it easier to purchase adaptations, use digital health services or access private exercise and rehabilitation. Public prevention strategies need to ensure that financial sustainability is not achieved by shifting responsibility towards households least able to absorb it.

EU funding can accelerate transformation but should not become permanent operating finance by default

European Union funding has played an important role in Lithuania's economic and public-service development. Long-term care and related reforms can benefit from European investment in infrastructure, digitalisation, community services, workforce capability and the transition away from institutional models.

This can be particularly valuable when transformation requires expenditure before a new service model becomes established. Buildings may need adaptation. Digital infrastructure requires capital. Community services need to be developed before institutional capacity can safely reduce.

The sustainability issue arises when temporary external investment becomes embedded in recurring service delivery without a credible domestic funding route.

A programme can be highly effective during its funded period and still create a future vulnerability if staffing, maintenance or continuing service costs cannot subsequently be absorbed by national or municipal budgets.

Financial governance should therefore distinguish between:

  • one-off capital or transformation investment;
  • time-limited implementation funding;
  • recurring operational expenditure;
  • costs that will transfer to another public body;
  • expected savings that are genuinely realisable; and
  • benefits that improve outcomes but do not produce direct cash savings.

This discipline matters because long-term care is labour-intensive. A renovated community facility can be funded once; the workers required to operate it need to be paid every year.

The strongest use of EU investment is therefore to accelerate sustainable structural change rather than obscure the underlying recurrent cost of care.

Scenario: a successful pilot becomes a financing problem

A group of municipalities develops an enhanced community-care programme using time-limited European funding. Multidisciplinary working improves, older people receive more support at home and families report better coordination. Demand for the service grows because it is filling a genuine gap.

The programme is therefore operationally successful.

Two years before external funding ends, however, the partners recognise that most expenditure is recurring workforce cost. Continuing the programme at full scale will require domestic funding that has not yet been secured.

The wrong response would be to treat this as evidence that the programme failed. The financing problem and the service outcome are different questions.

A stronger approach evaluates what the programme changed: use of residential care, hospital activity, independence, waiting, caregiver pressure, workforce productivity and total cost across participating organisations. Leaders can then determine which elements create sufficient value to continue and how responsibility for future funding should be distributed.

If the programme generates benefits across both health and social services, asking one municipality to absorb the entire recurring cost may be structurally unrealistic. If benefits are principally social rather than cash-releasing, decision-makers should state that clearly rather than manufacture savings to justify continuation.

Organisations facing similar evidence challenges can use the Commissioner Evidence Builder to structure evidence about delivery, outcomes and purchased services. The tool does not determine Lithuanian funding decisions, but its evidence principle is relevant: continuation decisions should distinguish demonstrated outcomes from assumed value.

Workforce financing is inseparable from care financing

Long-term care expenditure is heavily shaped by labour. Financing reform that ignores the workforce can therefore create theoretical capacity without actual services.

Lithuania faces a difficult combination of population ageing, a constrained potential workforce, competition between sectors and historic outward migration. International comparisons have highlighted a relatively small formal long-term care workforce in relation to the older population.

Increasing expenditure does not automatically produce workers if pay, career structures, working conditions and professional attractiveness remain insufficient.

Home and community models can also alter rather than eliminate labour requirements. Workers travel between people, need effective scheduling and may require broader capabilities to support increasingly complex needs. Rural provision can be particularly resource-intensive because travel reduces the proportion of paid time available for direct support.

Financial planning therefore needs to incorporate pay, supervision, training, travel, sickness, turnover and recruitment costs rather than treating an hour of care as a fixed commodity.

This makes workforce planning a central component of long-term care economics.

Technology can improve productivity by reducing duplication, supporting scheduling, enabling remote professional input and improving information flow. It cannot safely be modelled as a straightforward replacement for relational care. Digital investment also creates new expenditure on infrastructure, cybersecurity, maintenance, training and system integration.

Financial sustainability depends on what Lithuania chooses to finance

Demographic ageing makes some increase in long-term care demand highly predictable. The policy question is therefore not whether Lithuania can prevent all additional expenditure, but how future resources should be structured to produce the greatest social value.

A system dominated by late intervention can appear financially restrained until unmet need becomes acute. A more balanced system may spend earlier on home support, rehabilitation and prevention while maintaining sufficient residential and nursing capacity for people who genuinely require it.

The comparison cannot be made from unit costs alone.

A residential place may be more expensive than a modest home-care package, but intensive round-the-clock support at home can sometimes cost more than collective provision. Conversely, prematurely placing someone in institutional care because community capacity is absent can create both higher expenditure and poorer personal outcomes.

Financial sustainability therefore requires matching intensity to need rather than assuming one setting is universally cheaper.

Scenario: the lowest unit cost produces the wrong financial signal

A municipality compares two providers of home support. One has a lower hourly price. The other has a higher rate but lower staff turnover, greater continuity and stronger coordination with families and healthcare professionals.

If purchasing decisions focus only on hourly cost, the first provider appears better value.

Over time, however, frequent worker changes create missed information and inconsistent support. Families compensate for gaps. Some people require repeated reassessment. Staff turnover generates additional recruitment and induction costs for the provider, while deterioration that could have been recognised earlier contributes to greater service use elsewhere.

The second provider's higher rate does not automatically make it better. The point is that price needs to be examined alongside outcomes, continuity and total pathway cost.

A mature purchasing approach therefore asks what the public system receives for the expenditure. Relevant evidence may include reliability, waiting, workforce continuity, changes in independence, complaints, avoidable escalation and family experience.

The scenario demonstrates why long-term care financing cannot be reduced to procurement efficiency. Low prices that destabilise the workforce or reduce service quality can create future expenditure elsewhere.

The same principle applies nationally. Sustainable financing means obtaining appropriate outcomes from finite resources, not simply minimising the visible cost of individual services.

Quality and financial governance need to be connected

Financial control and quality assurance are sometimes managed as parallel systems. Long-term care makes that separation particularly risky.

Budget monitoring may show expenditure against plan while quality systems monitor incidents, complaints and service outcomes. Workforce information may sit elsewhere again. Decision-makers then receive several accurate reports without seeing the relationship between them.

Financial pressure can affect quality through vacancy controls, reduced training, delayed investment or higher caseloads. Quality problems can affect finance through staff turnover, complaints, emergency responses, duplicated work and avoidable escalation.

A more mature assurance model brings these indicators together.

Municipal and provider leaders need to understand not merely whether expenditure is overshooting but why. Rising cost could indicate inefficiency, but it could also reflect greater complexity, improved access or a shift from unpaid to formal care. Falling expenditure could indicate productivity, but it could equally signal waiting, workforce shortage or unmet need.

The Quality Dashboard Builder provides a practical framework for organisations seeking to connect operational, workforce and quality indicators. It is not designed to reproduce Lithuanian statutory reporting, but the underlying governance discipline is applicable internationally: no single metric should be interpreted without the system around it.

That approach supports continuous improvement because financial decisions can then respond to evidence rather than across-the-board reductions or untested assumptions about demand.

Geographic variation has a financial dimension

Lithuania's municipalities differ in population size, density, age structure, economic base and service infrastructure. These differences inevitably affect the cost of long-term care.

A densely populated urban area can organise home-care routes differently from a rural municipality where workers travel considerable distances. Specialist providers can operate more efficiently where there is sufficient population demand. Smaller municipalities may struggle to sustain niche services independently.

Equal expenditure per resident would therefore not necessarily produce equal access.

Funding arrangements need to recognise differences in underlying need and delivery cost while still expecting efficient use of public resources. This is a difficult balance. Excessively rigid allocation can disadvantage high-cost areas; weak accountability can allow persistent inefficiency to be explained away as local circumstance.

Data should help distinguish the two.

Useful comparisons include expenditure alongside age profile, assessed need, workforce availability, waiting, service utilisation, travel requirements and outcomes. Persistent variation then becomes a subject for investigation rather than an automatic judgement.

Intermunicipal cooperation may offer part of the answer. Not every locality needs to operate every specialist service itself. Shared provision, regional expertise and coordinated purchasing can sometimes create viable capacity while preserving local access to ordinary support.

Digital infrastructure can similarly extend specialist reach, provided it complements rather than replaces services that require physical presence. Wider interoperability and system integration can also reduce administrative duplication that consumes scarce workforce and financial resources.

A dedicated long-term care financing model remains an important strategic question

International analysis of Lithuania has raised several options for making long-term care financing more coherent, including clearer dedicated funding, greater pooling of existing resources and, as a possible longer-term direction, insurance-based approaches.

These options should not be presented as reforms already fully implemented. They represent strategic choices about how Lithuania could strengthen transparency, coordination and sustainability.

A dedicated funding structure could make the total resources available for long-term care easier to identify and reduce incentives for cost shifting. Pooling can potentially support integrated services because participating organisations have a shared financial interest in the whole pathway.

However, pooling money does not automatically integrate care.

A shared budget still requires governance: who contributes, who controls expenditure, how need is assessed, how allocations reflect regional variation, which services qualify, how individual contributions interact with public funding and who is accountable when demand exceeds forecasts.

An insurance-based model would raise different questions about contribution rates, entitlement, intergenerational fairness, coverage and the relationship with existing compulsory health insurance and taxation.

The design challenge is particularly significant in an ageing country. A financing mechanism that relies heavily on contributions from the working-age population must remain viable as the ratio between workers and older residents changes.

Lithuania therefore needs to evaluate financing models against more than revenue generation. The system must also support equitable access, integration, administrative clarity and long-term political legitimacy.

Financial protection should remain person-centred

At system level, long-term care financing is discussed through GDP, budgets and expenditure projections. At household level, it is experienced through much more immediate questions: Can I afford the contribution? Will my spouse still have enough income? How much care am I expected to provide myself? What happens if my savings decline? Is the service I need actually available?

These questions matter because financing arrangements influence dignity and choice.

A person should not have to become an expert in administrative boundaries to understand why one element of support is financed through healthcare while another requires a social-service assessment. Nor should family members discover only at the point of breakdown that an arrangement depended on unpaid care they were never realistically able to sustain.

Person-centred financing therefore requires transparency about entitlement, contribution and alternatives.

It also requires attention to outcomes. The purpose of public expenditure is not merely to fund services but to enable people to live with safety, dignity and as much independence as possible. This is why outcomes, independence and community inclusion remain relevant to financial decisions.

Cost containment that increases isolation, caregiver burden or avoidable dependency may be fiscally attractive within one budget period while undermining the wider purpose of long-term care.

Better evidence can improve the politics of difficult choices

No financing system can remove scarcity. Lithuania will still need to make choices about taxation, insurance, eligibility, household contributions, workforce investment and the balance between community and institutional care.

Those choices become more defensible when the evidence connecting expenditure to outcomes is stronger.

National government needs visibility over aggregate demand, demographic change, regional variation and the relationship between health and social expenditure. Municipalities need detailed information about local need, service capacity and future costs. Providers need sufficient financial predictability to invest in workforce and quality. Citizens need transparent information about what public funding will provide and what they may be expected to contribute.

Governance maturity lies partly in connecting these perspectives.

Organisations exploring equivalent questions can use the Governance Maturity Assessment to test whether financial, quality and strategic responsibilities are sufficiently connected. The framework does not prescribe Lithuania's funding model; it helps expose a more universal governance problem when accountability for resources is clearer than accountability for outcomes.

What other countries can learn from Lithuania's financing challenge

Lithuania's institutional arrangements reflect its own history, municipal structure, compulsory health-insurance system, social-services legislation and demographic trajectory. A financing mechanism used elsewhere cannot simply be transplanted into that architecture.

Its experience nevertheless illustrates several broader principles.

First, fragmented financing matters because people have combined needs. Where health and social support are funded separately, governance mechanisms are required to prevent cost shifting and gaps in responsibility.

Second, unpaid care is part of the economic system even when it is absent from public accounts. A care model that depends increasingly on families may suppress formal expenditure while creating significant household and labour-market costs.

Third, affordability and access need to be measured separately. Financial protection does not create service capacity, and an entitlement cannot be exercised where workers or providers are unavailable.

Fourth, temporary transformation funding needs an exit strategy from the beginning. External investment can accelerate reform, but recurring services require recurring resources.

Finally, financial sustainability should be measured against outcomes rather than expenditure alone. The transferable lesson lies less in any particular Lithuanian funding mechanism than in recognising that money, workforce, service design and human outcomes form one system.

Future sustainability will require choices before demand peaks

Lithuania's demographic trajectory makes long-term care expenditure a strategic issue rather than a temporary budget pressure. The share of older people is expected to rise substantially over the coming decades, increasing the number of people potentially requiring support while tightening the workforce base from which formal and informal carers are drawn.

Waiting until demand fully materialises would narrow the available policy choices.

Earlier action creates more options: strengthening prevention, developing community capacity, improving rehabilitation, supporting carers, redesigning workforce roles, improving digital coordination and establishing clearer long-term funding arrangements.

Not all of these measures reduce total expenditure. Some may appropriately increase it because existing need is unmet. Financial sustainability should not become a euphemism for restricting access.

The more credible objective is a system capable of financing an agreed level of adequate care over time without unpredictable cost transfer between government, municipalities, healthcare, providers and families.

That requires political choices about how much Lithuania wishes to spend on long-term care and operational choices about how effectively those resources are converted into support.

Conclusion

Lithuania's long-term care financing challenge is not simply that an ageing population will require more money. The deeper issue is that resources currently enter the care system through several routes: compulsory health insurance, state and municipal budgets, individual contributions, European investment and extensive unpaid family care. Each route has a legitimate purpose, but their separation can make the total system difficult to navigate, plan and govern.

The strongest future direction is therefore greater coherence. Lithuania needs financial arrangements that make responsibilities transparent, support coordination between health and social care, recognise the true contribution and limits of families, and give municipalities and providers enough stability to develop sustainable capacity. Prevention and community support need to be judged over appropriate time horizons, while institutional and nursing care must remain properly funded for people whose needs require them.

Demographic change means difficult choices cannot be eliminated. They can, however, be made more intelligently. Connecting expenditure with workforce capacity, access, quality, independence and household impact would allow Lithuania to move beyond measuring what long-term care costs towards understanding what its investment achieves.

Ultimately, sustainable financing is not the lowest possible level of public spending. It is the ability to maintain a credible social settlement in which people can obtain appropriate support as needs change without unsustainable costs being displaced invisibly onto municipalities, healthcare services or families.