A care system can train more workers and still become less stable. If experienced caregivers leave faster than new workers can be recruited, if schedules make employment unsustainable, or if rural communities cannot attract enough people to provide support locally, headline workforce growth can conceal deteriorating continuity on the ground.
That distinction is becoming increasingly important for Costa Rica. The country's developing Sistema Nacional de Cuidados y Apoyos para Personas Adultas y Personas Adultas Mayores en Situación de Dependencia (SINCA) is intended to coordinate and strengthen support for adults with dependency, while demographic change is steadily increasing the population likely to need long-term assistance. The wider Costa Rica Aging, Long-Term Care & Community Support Knowledge Hub examines how these pressures connect with healthcare, family caregiving, disability support and community services.
The workforce challenge is therefore no longer simply whether Costa Rica can recruit and train additional caregivers. Article 18 in this series examined professionalization, competency recognition and occupational development. The next strategic question is whether the resulting workforce can be retained, supported and deployed sustainably as demand changes.
That requires a broader definition of workforce sustainability. It includes pay and employment conditions, but also predictable work, manageable workloads, supervision, psychological support, travel, continuity, career prospects, technology, family responsibilities and the ability to see problems emerging before vacancies become service failures.
Demographic change alters both sides of the workforce equation
Costa Rica's demographic transition creates a particularly important workforce dynamic because it changes both demand for care and the population from which workers can be recruited.
Official Instituto Nacional de Estadística y Censos projections published in 2024 show that people aged 65 and older represented approximately 11% of the population in 2024 and are projected to represent around 25% by 2050. The proportion is expected to double between 2024 and 2044. At the same time, very low fertility is changing the age structure beneath that older population.
The implications extend beyond a simple increase in the number of older people. INEC projects the demographic dependency ratio for people aged 65 and older to increase from around 16 older people for every 100 people aged 15–64 in 2024 to more than 39 by 2050.
Not every older person will need long-term care, and not every working-age person is a potential caregiver. Nevertheless, the direction is clear. Costa Rica will be trying to expand formal care from a labor pool that is becoming proportionately smaller relative to the older population.
This makes workforce data and capacity planning part of demographic policy rather than merely an operational concern for individual services.
The objective is not to predict a single precise number of caregivers required in 2040 or 2050. Long-term demand will depend on healthy aging, disability prevalence, family structures, technology, housing and the mix of services Costa Rica chooses to develop. The stronger approach is to model several plausible demand scenarios and understand their workforce consequences.
Retention matters because workforce experience accumulates
Recruitment is highly visible. A training cohort graduates, vacancies are advertised and newly appointed workers can be counted. Retention is quieter, yet it determines how much experience remains inside the system.
A caregiver who stays develops knowledge that cannot be reproduced instantly through induction. They learn how a person communicates, what changes in behavior may indicate discomfort, how a family works together and which routines preserve independence. Experienced workers can also support newer colleagues and recognize emerging risk earlier.
When experienced workers leave repeatedly, services lose more than headcount. They lose relational knowledge, informal mentoring and operational memory.
This has direct consequences for people receiving care. Frequent worker changes can be unsettling for anyone receiving intimate support. They can be particularly disruptive for people living with dementia, communication difficulties or established routines. Families may repeatedly have to explain the same preferences and history to new workers.
Retention should therefore be considered alongside quality and continuity rather than treated solely as a human-resources measure.
The challenge for Costa Rica is complicated by the structure of its care economy. OECD analysis published in 2026 describes a comparatively small paid long-term-care workforce alongside a much larger population providing unpaid care. It also identifies low social recognition, weak organization and limited career pathways among continuing workforce issues.
Those conditions create a sustainability test for SINCA: formal care cannot become the dependable alternative to intensive family caregiving if the paid workforce itself remains unstable.
The quality of work influences the quality of care
Care work combines physical, relational and emotional demands. A worker may assist with mobility, personal care and nutrition while also responding to cognitive impairment, bereavement, family tension or progressive loss of independence. In home-based care, much of this work happens without colleagues immediately present.
Working conditions therefore influence more than employee satisfaction.
A worker under persistent time pressure may have less opportunity to support independence rather than completing tasks quickly. Exhaustion can reduce attention. Unpredictable scheduling can increase absence and turnover. Insufficient recovery time between demanding situations can affect psychological wellbeing.
This does not mean every difficult aspect of care can be removed. Long-term care involves illness, dependency, death and changing relationships. A sustainable workforce system instead asks whether avoidable organizational pressures are adding to the inherent demands of the role.
Several conditions deserve particular attention:
- whether working hours and income are sufficiently predictable;
- whether workloads reflect the actual complexity of people's needs;
- whether workers can obtain advice when situations exceed their experience;
- whether travel and unpaid gaps between visits undermine viable employment;
- whether absence and leave can be covered without excessive pressure on colleagues;
- whether workers can progress without leaving direct care entirely; and
- whether emotional strain is recognized before it contributes to departure.
The relationship between retention, burnout and moral strain becomes especially important when workers know what good support requires but lack enough time or capacity to provide it consistently.
Operational scenario: the vacancy is the final event, not the first warning
A home-care organization loses an experienced caregiver who has worked with several older people for three years. The resignation initially appears to be an individual employment decision.
Looking backwards reveals a different pattern. During the previous four months, the worker had repeatedly covered colleagues' absences. Her weekly travel increased as the organization accepted additional households in another locality. Several visits became more complex as people's dependency increased, but scheduled time remained largely unchanged. She had also raised concerns about struggling to take planned leave without disrupting people she supported.
By the time the resignation arrived, the workforce risk had been visible for months.
The organization responds differently from simply advertising the vacancy. It examines overtime, travel, unplanned cover, leave cancellation and changing care complexity across the whole team. Several other workers show similar patterns. Rosters are redesigned, expansion into the second locality is reviewed and additional supervisory contact is introduced for workers supporting higher levels of dependency.
The lesson is not that turnover can always be prevented. People leave employment for many legitimate reasons. The operational requirement is to distinguish normal movement from patterns indicating structural instability.
The Predictive Workforce Risk Module can help organizations examining similar questions structure indicators around vacancies, turnover, retention and continuity. It is not a Costa Rican workforce model, but its underlying approach is relevant: the most useful workforce information identifies pressure before the resignation becomes the first visible signal.
Scheduling is a workforce wellbeing issue
Home-based care makes scheduling particularly important because work is distributed across many locations and people's support needs occur at different times.
A technically efficient roster can still be unsustainable for workers. A day containing six hours of paid contact may occupy substantially more than six hours once travel and gaps are included. Early morning and evening demand can fragment the working day. Last-minute changes make it harder for workers to organize childcare, education or other responsibilities.
For a predominantly female workforce, this interaction between paid care and workers' own family responsibilities deserves particular attention. Formalizing care should create better employment opportunities rather than simply moving the unpredictability of unpaid care into low-control paid work.
Scheduling also affects the person receiving support. Optimizing a route solely around travel efficiency may produce visit times that conflict with someone's preferred routine. Excessive use of short visits can make relational and restorative care difficult. Continually reallocating workers to fill gaps can reduce continuity.
Good scheduling and capacity operations therefore need to balance at least three dimensions: people's needs and preferences, workforce sustainability and efficient use of limited capacity.
Technology can improve that balance by identifying travel patterns, available capacity and recurring scheduling pressure. It cannot determine the appropriate trade-off on its own. Those remain care and workforce decisions requiring human judgment.
Wellbeing requires more than resilience training
Workforce wellbeing can become superficial when responsibility is placed primarily on individual workers to become more resilient. Self-care and personal coping strategies have value, but they cannot compensate for structurally unmanageable work.
For Costa Rica's emerging care workforce, a stronger wellbeing model begins with job design.
Workers need realistic workloads, appropriate equipment, safe working arrangements, reliable pay and access to supervision. They also need permission to discuss emotionally difficult work without that being interpreted as weakness or lack of commitment.
Home-based caregivers may be especially vulnerable to professional isolation. They can spend most of their working day inside private homes rather than alongside colleagues. When a person deteriorates or dies, the caregiver may experience genuine grief while immediately moving to another household.
Regular supervision can create space to discuss these experiences alongside practical issues. Peer contact can reduce isolation. Training can improve confidence where uncertainty itself is creating stress. Clear escalation routes reduce the burden of workers feeling they must solve complex situations alone.
The wider principle of supervision, reflective practice and coaching is therefore central to retention. Wellbeing is strengthened when workers have both individual support and an organization capable of changing the conditions producing repeated strain.
Informal and paid care remain connected
Costa Rica's workforce strategy cannot be designed as though paid care exists separately from family caregiving.
OECD analysis estimates that around 214,000 people provide unpaid care, far exceeding the estimated paid workforce. Most are women. The National Care Policy explicitly recognizes caregivers as a population requiring support and links formal care expansion with women's ability to participate in paid employment.
This creates an important feedback loop.
If formal services are unavailable, unreliable or unaffordable, families absorb more care. Some family caregivers reduce paid employment or leave the labor market. That can further reduce the wider pool from which formal workers are recruited and weaken household income.
Conversely, dependable formal care can enable relatives to remain economically active. Some people with substantial informal caring experience may also choose to enter the formal workforce if training, employment conditions and recognition make that attractive.
The boundary should not be blurred. A daughter supporting her father is not simply an unpaid substitute employee, and family relationships should not be professionalized unnecessarily. The policy objective is to ensure that family involvement reflects relationship and choice rather than the absence of alternatives.
That is why family caregiver capacity and care burden belong inside workforce sustainability analysis. A national care system has both a paid workforce and a wider care economy, and pressure can move between them.
Operational scenario: workforce instability becomes family instability
An older woman with significant mobility limitations receives home support several mornings each week. Her daughter works full time and provides additional help during evenings and weekends. The arrangement is sustainable because formal support covers the period when the daughter is at work.
Two caregivers leave the local service within a short period. Visits begin to change frequently and several are cancelled because replacement staff cannot be found. The daughter initially uses annual leave to cover gaps. She then reduces her working hours temporarily.
From the service's perspective, the visible problem is a workforce vacancy. From the family's perspective, it has become an employment and income problem. If instability continues, the daughter's ability to remain in work may be threatened and the older woman's choices about remaining at home may narrow.
A stronger response treats continuity as an outcome in its own right. The service identifies households where missed support would create immediate family or safety consequences and prioritizes contingency capacity accordingly. Repeated cancellations are reported alongside vacancy information rather than recorded only as scheduling incidents.
At system level, that evidence matters. It demonstrates that the economic value of workforce stability extends beyond the care organization. Reliable formal care protects the labor-market participation and wellbeing of relatives as well as the person receiving support.
Territorial variation will shape future workforce demand
Costa Rica's demographic transition is not occurring uniformly across the country. INEC's subnational projections show substantial differences between cantons, with many expected to begin population decline before the national population does. Some territories are already considerably older than others.
This means national workforce ratios will be insufficient for planning.
A canton with rapid aging, dispersed settlements and declining working-age population faces a different care challenge from a growing urban area. Recruiting the same number of workers per older resident may still produce different service capacity because travel, housing costs, transport and alternative employment opportunities vary.
Territorial planning should therefore combine demographic projections with information about dependency, existing services, family structures and workforce supply.
This is particularly important if Costa Rica continues to prioritize home-based and community support. Residential facilities concentrate workforce. Home care distributes it. The stronger the policy commitment to supporting people in ordinary homes, the more important local labor-market geography becomes.
National policy can establish standards, financing mechanisms and training architecture. Sustainable delivery will still depend on whether each territory has enough usable workforce capacity to make those commitments real.
Future demand needs scenarios rather than one forecast
Long-term workforce planning can create false certainty if it relies on one projection of future staffing need. Costa Rica knows with considerable confidence that its population will age substantially. It cannot know with the same precision exactly how future long-term-care demand will translate into worker hours.
Several variables can change that relationship.
Better prevention and healthy aging could delay dependency. Improved rehabilitation and restorative support could reduce the intensity of long-term assistance required by some people. Accessible housing and assistive technology may enable others to manage more independently. Conversely, longer survival with complex chronic illness or dementia could increase demand for intensive support.
Family availability is another major variable. Lower fertility means future generations may have fewer siblings with whom to share care. Geographic mobility can separate relatives. Women's labor-market participation changes the feasibility of assuming intensive unpaid support.
Service design also matters. A system emphasizing residential care requires a different workforce configuration from one investing heavily in home care, day services, tele-assistance and personal assistance.
Costa Rica therefore needs scenario-based planning that asks how workforce requirements change under different combinations of:
- population aging and levels of functional dependency;
- availability of unpaid family care;
- home, community and residential service expansion;
- worker productivity and travel requirements;
- retention and turnover rates;
- technology and assistive support; and
- geographic differences in demand and labor supply.
The Digital Twin Scenario Modeler offers organizations a practical way to explore interactions between capacity, workforce and service stability. It does not provide Costa Rica's national forecast, but the analytical principle is useful: planning becomes stronger when leaders can see how changing one assumption alters the rest of the system.
Operational scenario: expanding coverage before testing workforce capacity
A future phase of care-system expansion enables substantially more people with dependency in one region to access home-based support. Demand rises quickly, demonstrating that unmet need had previously been hidden within families.
The policy objective is being achieved in one sense: more people are becoming eligible for formal support. Operationally, however, local organizations cannot recruit at the same pace. Existing workers accept additional hours, travel distances increase and continuity begins to deteriorate.
The response could be to conclude that recruitment has failed. A more useful analysis asks whether implementation sequencing created an avoidable mismatch.
Regional planners compare projected support hours with the number of trained workers, current vacancies, travel assumptions and expected training completions. They identify which forms of support require in-person labor and where tele-assistance or community infrastructure can complement, but not replace, direct care. Expansion is then connected with local training and recruitment pipelines rather than treated as a separate policy stream.
Importantly, existing service quality remains visible during growth. Missed visits, worker turnover and continuity are monitored alongside the number of new people receiving support.
The scenario demonstrates why access targets and workforce indicators need to be read together. Expanding nominal coverage while destabilizing existing support would create a misleading picture of progress.
Technology can release capacity, but it can also intensify work
Costa Rica's National Care Policy envisages technology as part of the future service mix, including tele-assistance and support that enables people with dependency to remain at home. Digital workforce infrastructure such as Cuidar.cr also creates new ways of connecting trained caregivers with households.
Technology can improve workforce sustainability when it removes low-value administrative work, reduces unnecessary travel, improves access to supervision or allows information to follow the person more reliably.
For example, a worker who can record a concern once and route it appropriately may spend less time repeating information. Remote professional advice can support a caregiver in a rural location. Better scheduling can identify excessive travel before a roster is issued.
But technology is not inherently labor-saving.
A tele-assistance service generates alerts requiring response. Remote monitoring produces data requiring interpretation. Poorly integrated systems create duplicate documentation. Automated schedules can optimize distance while ignoring worker wellbeing or the person's preferred routine.
Technology may also shift work from one group to another. A digital self-service process that reduces administrative labor can increase the burden on families or workers if it is difficult to use.
Organizations considering these changes can use the Digital Transformation, AI and Cybersecurity Readiness Assessment to structure questions about capability, implementation, information governance and workforce readiness. The relevant test is not whether a technology is innovative, but whether it improves care and releases usable human capacity without creating disproportionate new burden or risk.
Productivity in care needs a careful definition
Future workforce pressure will inevitably create interest in productivity. That is legitimate, but long-term care requires a different productivity lens from manufacturing or highly standardized transactional services.
Reducing the time spent on duplicated paperwork can improve productivity without harming care. Reducing unnecessary travel can create additional support capacity. Matching tasks to the appropriate skill level can use specialist expertise more efficiently.
Simply shortening every visit is different.
Care includes relational work that can appear inefficient when measured only in minutes. Encouraging somebody to wash or dress independently may take longer than doing it for them. Listening carefully to a person with communication difficulties can require time. Recognizing subtle deterioration often depends on familiarity and attention.
Productivity should therefore examine value created from workforce time rather than treating all contact time as a cost to minimize.
For Costa Rica, this distinction will become increasingly important as SINCA develops. A financially sustainable system needs efficient use of labor, but efficiency that accelerates dependency, increases family burden or creates avoidable hospital use simply moves cost elsewhere.
The stronger concept is sustainable productivity: reducing avoidable administrative and logistical burden so workers can devote more of their capacity to support that improves independence, safety and quality of life.
Retention data should be connected with service outcomes
Workforce dashboards can easily become collections of human-resources statistics. Vacancy rates, absence and turnover are useful, but they become more powerful when connected with what people receiving care actually experience.
A locality with higher turnover might also show more missed visits, complaints or discontinuity. Another might have stable staffing but unusually high sickness absence, suggesting hidden pressure. A third may recruit successfully but repeatedly lose workers during their first six months, pointing toward induction, expectations or scheduling.
No single indicator proves causation. The purpose is to make patterns visible enough for investigation.
A practical workforce evidence set could connect:
- vacancy and time-to-fill;
- turnover by length of service;
- sickness absence and unplanned cover;
- overtime and additional hours;
- continuity of caregiver;
- missed, shortened or rescheduled support; and
- complaints, incidents and person-reported experience.
This creates a stronger relationship between workforce intelligence and service outcomes and performance indicators.
Organizations developing this approach can use the Quality Dashboard Builder to explore how workforce and quality measures can be viewed together. The tool does not establish Costa Rican standards; its value lies in helping leaders avoid treating staffing data and service quality as separate evidence systems.
Funding decisions shape workforce stability
Workforce sustainability ultimately has a financing dimension.
Services cannot improve wages, supervision, training, travel arrangements and leave cover without resources. Equally, increasing expenditure without understanding how it affects retention and quality does not guarantee sustainability.
Costa Rica's developing care system therefore needs funding arrangements that recognize the real cost of dependable care rather than only the visible cost of direct contact hours.
Home-based support has infrastructure costs even when there is no building full of residents. Workers need travel time, coordination, supervision, training, equipment, administrative support and contingency capacity. If funding effectively pays only for minutes spent inside the person's home, organizations or households must absorb the rest somewhere else.
Underfunded overhead can appear efficient temporarily while producing workforce instability later.
This is particularly important where public support and private household purchasing coexist. A household may focus understandably on the hourly amount paid to a caregiver. A sustainable system has to consider the wider employment cost and the infrastructure that allows the worker to provide safe, reliable support.
The connection between funding and payment models and workforce outcomes should therefore become increasingly visible as SINCA develops. Financing is not merely how care is paid for; it shapes what kind of employment model the system can sustain.
Operational scenario: the lowest hourly cost creates the highest continuity risk
Two local service arrangements appear to provide similar home support. One has a lower direct hourly cost. The other includes more structured supervision, paid travel, training time and contingency cover.
If comparison stops at the hourly rate, the first arrangement appears more economical.
Over the following year, however, its workers change more frequently. Families report repeated introductions to new caregivers. Managers spend substantial time filling short-notice gaps, and several visits are missed during periods of sickness absence. Recruitment costs increase.
The second arrangement has higher visible workforce costs but greater continuity and lower turnover.
The appropriate conclusion is not automatically that the more expensive model is superior. Different populations, geographies and organizations may explain part of the variation. The governance requirement is to compare cost with the outcomes being purchased.
That means examining total workforce expenditure alongside continuity, quality, unmet support and replacement costs. If a lower unit price consistently produces instability, the apparent saving may represent cost transfer rather than genuine efficiency.
As Costa Rica expands publicly supported care, this type of evidence can help ensure that affordability decisions consider workforce sustainability rather than inadvertently designing instability into the service model.
Migration could become part of the workforce picture
Many aging countries increasingly rely on migrant workers within long-term care. Costa Rica should not assume that its future workforce will follow the same trajectory, but migration deserves inclusion in long-range planning.
Migrant workers may already contribute to domestic and care work, while future shortages could increase demand for their labor. If that role grows, workforce policy will need to address employment formality, qualification recognition, social protection, language where relevant, discrimination and protection from exploitation.
Migration should not become a substitute for improving the attractiveness of care work to the existing population. Nor should international recruitment transfer workforce shortages from countries with greater needs of their own.
The strategic point is broader: workforce supply is shaped by labor-market conditions beyond the care sector itself. If alternative occupations offer more predictable hours, stronger progression or better recognition, care services will compete for workers regardless of how many training places are available.
Sustainable workforce planning therefore requires understanding why people choose care, why they remain and what other opportunities they could realistically pursue.
National governance needs to see local workforce pressure early
SINCA is designed as an interinstitutional system rather than a single service provider. That makes workforce governance inherently distributed.
IMAS has an important coordinating role. INA contributes training and competency development. The Ministerio de Trabajo y Seguridad Social influences labor policy. CCSS intersects with care through health and social-security arrangements. CONAPAM, local organizations, municipalities, private providers, households and community services each encounter different parts of the workforce reality.
No single organization therefore sees everything automatically.
A strong national workforce approach needs mechanisms through which local evidence can move upwards and policy responses can move back down. Persistent vacancies in one territory should be distinguishable from national shortage. Repeated turnover among a particular service model should trigger investigation. Training supply should be compared with actual employment and retention rather than measured only through course completion.
The Governance Maturity Assessment can help organizations examining comparable multi-actor systems structure questions about responsibility, escalation and assurance. In Costa Rica's context, the wider lesson is that distributed delivery requires particularly clear ownership of shared workforce risks.
This is where cross-sector system leadership becomes practical. Workforce sustainability cannot sit solely with employers when training, financing, demographic policy, social security and family care all shape the outcome.
A sustainable workforce strategy needs a longer horizon
Costa Rica's National Care Policy runs to 2031, but the demographic transformation driving care demand extends far beyond it. Workforce development therefore needs both immediate implementation priorities and a longer planning horizon.
In the short term, the country can strengthen data, professionalization, recruitment, retention and workforce visibility as SINCA expands. Over the medium term, it can learn which service models produce stable employment and good outcomes across different territories.
Longer term, more fundamental questions emerge.
How large should the formal care workforce become relative to family care? Which activities should remain general caregiver competencies and which require specialist roles? How should technology alter job design? What career structure will make care attractive to younger generations? How can rural communities retain workers as their own populations age? How should public financing reflect the true cost of sustainable employment?
These questions cannot all be settled now. They can, however, be made visible early enough to avoid a purely reactive approach.
The demographic evidence gives Costa Rica something valuable: time to plan. Aging is rapid, but much of the increase in future demand is foreseeable. Workforce shortages become more difficult and expensive to resolve once they are already disrupting care.
International learning: sustainability is about flows, not just workforce stocks
Costa Rica's emerging challenge reflects a wider lesson from aging societies. Counting the number of workers is necessary but insufficient.
A sustainable workforce is a dynamic system. People enter through recruitment and training, develop competence, change hours, move between employers, take leave, progress, experience illness, relocate and eventually leave. Demand changes at the same time.
The most useful international lesson is therefore to examine flows as well as stocks.
Countries with larger established long-term-care sectors have learned that persistent recruitment campaigns cannot compensate indefinitely for poor retention. Costa Rica has an opportunity to embed that lesson while its national care architecture is still developing.
Its institutional mechanisms are country-specific. SINCA, INA, CCSS and Costa Rica's wider social-protection arrangements cannot simply be reproduced elsewhere. The transferable principle lies in connecting demographic forecasting, workforce conditions, local capacity and service outcomes before expansion accelerates.
A workforce strategy becomes stronger when it asks not only, “How many workers do we have?” but also, “Where are they, how long do they stay, what capacity is actually usable, what pressure are they experiencing and what happens to people receiving care when that capacity changes?”
Conclusion
Costa Rica's care workforce challenge is not simply to recruit enough people for a larger system. It is to create enough sustainable human capacity to support a population whose age structure is changing profoundly while protecting the continuity, independence and dignity of people who need care.
Professionalization provides an essential foundation, but retention will determine how much of that investment remains available to the system. Working conditions, supervision, scheduling, geographic deployment, wellbeing and career opportunity all influence whether trained caregivers build lasting careers or move elsewhere. Funding and technology matter because they shape those conditions rather than sitting outside them.
The strongest forward direction is therefore to connect workforce planning directly with SINCA's service expansion. Demographic projections should inform local capacity scenarios. Workforce indicators should be read alongside continuity and quality. Territorial shortages should become visible before they produce prolonged gaps, while family caregiver pressure should remain part of the evidence rather than an invisible reserve of labor.
Costa Rica cannot know exactly what its care workforce will need to look like in 2050. It already knows enough to avoid waiting for future demand to arrive before preparing for it. A sustainable care system will be built not merely by increasing the number of caregivers, but by creating the conditions in which skilled people can remain, develop and provide dependable support across the country's changing communities.