Measuring Outcomes in Portuguese Long-Term Care: From Service Activity to Quality of Life

A Portuguese long-term-care service can be busy, fully occupied and apparently productive while still leaving an important question unanswered: are people actually better off because the service exists? An ERPI can report occupancy, a Serviço de Apoio Domiciliário (SAD) can count visits, and the Rede Nacional de Cuidados Continuados Integrados (RNCCI) can record referrals, admissions and discharges. Those measures are necessary for managing capacity. They do not, by themselves, demonstrate whether someone maintained mobility, regained independence, felt safe, remained connected to family or experienced a better quality of life.

This distinction is increasingly important across the Portugal Ageing, Long-Term Care & Community Support Knowledge Hub. Portugal is expanding formal long-term-care capacity while continuing to rely heavily on families and a mixed network of public, social and solidarity-sector and private provision. As that system grows, measuring only what it delivers risks missing what it achieves.

The challenge is not that Portugal has no data. It has substantial information on social responses, RNCCI activity, healthcare use, workforce and service capacity. The stronger opportunity lies in connecting those data to outcomes that matter to people: function, autonomy, safety, experience, recovery, continuity, social participation and the sustainability of family support.

Outcome measurement is therefore not an abstract statistical exercise. It is a governance question. What the system chooses to measure influences what organisations prioritise, how investment is justified and whether poor performance becomes visible before demand, cost or harm increases.

Portugal can see a great deal of activity, but activity is not the same as outcome

Portugal’s Carta Social provides a valuable national picture of social responses, including Centro de Dia, ERPI and SAD. It allows decision-makers to understand where provision exists and how much capacity is available. RNCCI reporting similarly provides visibility of referrals, admissions, occupancy, waiting and movement through different continuing-care responses.

These datasets are indispensable.

Without them, Portugal could not plan infrastructure, understand geographic supply or assess whether capacity is keeping pace with demographic ageing.

But activity indicators describe the system from the provider or administrative perspective.

A home-support service delivering 100,000 visits has delivered substantial activity. Whether those visits preserved independence is a different question.

An RNCCI unit operating at high occupancy may be using its capacity efficiently. Whether people leave with improved function is another matter.

An ERPI with few vacancies may be meeting strong demand. Whether residents experience dignity, meaningful relationships and a good daily life cannot be inferred from occupancy.

This is why outcomes-focused support requires a deliberate shift from asking what services did to asking what changed for the person.

Different parts of long-term care need different outcome measures

There is no single indicator capable of describing quality across every Portuguese long-term-care setting.

The purpose of an RNCCI convalescence unit differs from the purpose of long-term residential care. SAD may be intended to maintain daily living at home, while a rehabilitation response may be expected to improve function over a relatively short period.

Outcome measurement therefore needs to begin with service purpose.

For an RNCCI rehabilitation pathway, meaningful outcomes may include improvement in mobility, transfers, self-care or capacity to return home.

For SAD, the objective may be maintaining independence, preventing avoidable deterioration and supporting the person to remain safely at home.

For ERPI, the outcome cannot realistically be defined as restoring complete independence for every resident. It may instead include comfort, autonomy within the setting, meaningful activity, safety, relationships, dignity and appropriate management of frailty.

A useful Portuguese outcome architecture therefore needs common principles but setting-specific measures.

Trying to measure every service identically risks rewarding the wrong behaviour.

A long-term residential service should not appear unsuccessful merely because residents remain dependent. A rehabilitation service should not be considered effective solely because people receive high-quality personal care while making no progress towards agreed rehabilitation goals.

Function is one of the strongest bridges between health and long-term-care outcomes

Functional ability offers a particularly valuable outcome because it crosses institutional boundaries.

People experience long-term care through what they can and cannot do.

Can the person get out of bed independently? Walk to the bathroom? Prepare food? Manage essential daily activities? Communicate their needs? Leave the house? Continue a valued routine?

These questions connect health conditions with real life.

Portugal’s RNCCI already assesses functional need because decisions about continuing care and rehabilitation depend on the person’s clinical and functional condition. The stronger opportunity is to use functional change more consistently as an outcome rather than only as an entry or classification variable.

Consider a 74-year-old woman entering an RNCCI rehabilitation unit after a stroke. At admission, she requires assistance with transfers, dressing and personal care.

Six weeks later, she still has residual weakness but can transfer with minimal help, dress with adapted techniques and walk short distances with an aid.

Length of stay and discharge date describe the episode.

Functional improvement describes its value.

The distinction matters because a system interested in independence and community inclusion needs to know not only how many people move through services, but whether those services change what people are able to do.

Maintaining independence is an outcome even where improvement is unlikely

Not every long-term-care outcome involves measurable recovery.

For people living with progressive frailty, dementia or degenerative conditions, maintaining function can be a significant achievement.

A person who continues walking independently for another year may have experienced a meaningful outcome even though their underlying condition has not improved.

This matters because outcome systems built only around improvement can undervalue maintenance and prevention.

Consider an 87-year-old man receiving SAD in Setúbal. His mobility is gradually declining because of frailty and arthritis. Without support, he is at increasing risk of inadequate nutrition, medication problems and reduced personal hygiene.

The service helps him prepare for the day, supports meals and notices early changes requiring review. Twelve months later, he still lives at home with broadly similar functional ability.

A crude improvement metric might show little change.

A stronger outcome analysis recognises that maintaining independence despite progressive frailty can represent substantial value.

This is one reason outcome measurement needs context. The relevant question is not always “Did the score increase?” but “What happened compared with the likely trajectory without support?”

Safety indicators matter, but they do not define quality of life

Falls, pressure injuries, infections, medication events, emergency transfers and hospital admissions are important quality indicators because they reveal harm and risk.

Recent international health-system analysis has highlighted pressure ulcers and healthcare-associated infection as areas requiring continued attention in Portuguese long-term-care settings.

These safety indicators deserve serious governance visibility.

But avoiding adverse events is only one part of good care.

A service could reduce falls by preventing residents from walking independently. It might reduce certain incidents while worsening mobility, confidence and autonomy.

Similarly, a home-support organisation could avoid risk by discouraging an older person from cooking, shopping or going outside even where supported participation remains possible.

This is why the relationship between positive risk-taking and independence matters to outcome measurement.

Safety data need to be interpreted alongside function, choice and quality of life.

The objective is not zero activity and zero risk. It is proportionate support that allows people to live as safely and independently as realistically possible.

Quality of life is harder to measure because it belongs to the person

Quality of life cannot be inferred entirely from clinical or administrative data.

Two residents with similar dependency levels may experience the same service very differently.

One may value quiet, family visits and access to a garden. Another may prioritise social activity, independence in personal routines and frequent outings.

The service cannot determine quality of life without asking what matters to the individual.

This creates a methodological challenge.

Quality-of-life measures need enough structure to support comparison but enough flexibility to reflect personal priorities.

Relevant domains may include:

• autonomy and control over everyday decisions;
• comfort, dignity and freedom from avoidable distress;
• relationships and social connection;
• ability to participate in valued activities;
• feeling safe without being unnecessarily restricted;
• confidence that support is dependable.

These are more difficult to aggregate than occupied beds or completed visits.

That difficulty is not a reason to ignore them.

If long-term care exists ultimately to support quality of life, some direct measure of quality of life needs to form part of the evidence architecture.

A residential service illustrates the difference between activity and lived outcome

Consider an ERPI near Coimbra with stable occupancy, low serious-incident rates and a regular programme of activities. On conventional operational indicators, the service appears strong.

Resident feedback reveals a more nuanced picture.

Several residents appreciate the staff but say they have little influence over when they get up, what time they eat or how frequently they leave the building. The service runs numerous organised activities, yet many people describe them as repetitive and poorly connected to their previous interests.

Nothing in this picture necessarily indicates serious regulatory failure.

It does indicate a quality-of-life gap.

The organisation changes its review process. Staff begin recording individual social and independence goals rather than activity attendance alone. One resident resumes regular visits to a nearby café. Another helps maintain the garden. A third prefers fewer group activities but more time with family.

The service still measures incidents, staffing and occupancy. It now also measures whether people are achieving personally meaningful outcomes.

This connects directly with service-user feedback and co-production. Feedback becomes more valuable when it changes how the service understands performance rather than existing only as an annual satisfaction exercise.

Person-reported outcomes and experience deserve greater visibility

Portugal’s wider healthcare system is increasingly confronting the importance of patient-reported outcomes and patient-reported experience.

Recent international analysis of Portuguese healthcare has shown that people with chronic conditions report weaker experiences in several areas, particularly care coordination. That evidence comes from healthcare rather than long-term care specifically, but its significance for long-term-care measurement is clear.

Administrative systems can show whether an appointment occurred. They cannot show whether the person felt listened to, understood the plan or experienced the pathway as coordinated.

Long-term care needs the same distinction.

A resident may receive technically correct support while feeling they have little control over their daily life. A family may receive regular communication yet still feel that nobody explains how needs are changing. A person receiving SAD may value the workers but find constant rota changes disruptive.

These experiences affect trust and quality.

More systematic use of person-reported outcome measures and experience measures could therefore strengthen Portuguese long-term-care evidence, provided the methods remain accessible to people with cognitive, sensory or communication difficulties.

Proxy feedback from relatives may sometimes contribute, but it should not automatically replace the person’s own perspective where the person can communicate it with appropriate support.

Continuity is a measurable outcome because relationships affect care

Continuity is often treated as a workforce issue. For the person receiving long-term care, it is also an outcome.

Repeatedly seeing unfamiliar workers can reduce confidence, increase the need to explain preferences and make it harder for subtle changes to be recognised.

This is particularly important in home support.

An older person may receive every scheduled visit and therefore appear fully served according to activity data. But if 15 different workers deliver those visits during one month, the experience may be substantially different from receiving the same number of visits from a smaller, familiar team.

Continuity can also affect safety.

Workers who know the person are more likely to notice a change in appetite, mobility, cognition or mood.

This creates a useful bridge between workforce continuity and outcomes.

Relevant measures might include the number of different workers seen, stability of key staff, unplanned changes and the person’s own experience of continuity.

The Predictive Workforce Risk Module can help organisations examine whether turnover and vacancy patterns are likely to undermine continuity. It is not a Portuguese outcome standard, but it can help connect workforce instability with the quality experienced by people receiving support.

Families are part of the outcome picture because formal care can shift burden rather than reduce it

Portugal’s heavy reliance on informal care means long-term-care outcomes cannot be understood exclusively through the person receiving formal support.

A new service may improve one part of the system while transferring responsibility elsewhere.

Suppose an older woman begins receiving SAD twice each day. Her daughter previously provided all personal care and now expects the formal service to reduce her caring responsibilities substantially.

The visits help with morning and evening routines, but the daughter still manages appointments, shopping, medication, night-time supervision and every unexpected problem.

The service has delivered its agreed activity accurately.

Whether it has improved family sustainability depends on the outcome being examined.

This does not mean every formal service should eliminate family care.

It means policy should understand whether public support:

• reduces excessive carer burden;
• allows carers to sustain employment or their own health;
• delays breakdown of the home arrangement;
• creates confidence that support will be available when needs increase.

The wider principle aligns with family partnership and carer support. In a system where families remain major providers of care, their sustainability is part of system performance rather than an external variable.

Hospital use can be informative, but it needs careful interpretation

Emergency attendance, hospital admission and readmission are often used as outcome indicators because poor long-term-care management can contribute to avoidable acute use.

The measure is useful, but it can be misused.

A hospital admission is not automatically evidence that long-term care failed.

Older people living with multiple conditions will sometimes require acute treatment regardless of service quality.

The more informative question is whether there are patterns.

Repeated dehydration, medication-related admission, unmanaged infection or falls may reveal opportunities for earlier intervention.

An ERPI experiencing unusually frequent transfers for problems that could normally be managed through better clinical coordination may need review.

A SAD service whose clients repeatedly enter hospital shortly after discharge may be supporting a level of complexity that exceeds the model currently available.

This makes hospital discharge and admission avoidance relevant to outcomes without turning all hospital use into a negative measure.

The objective is appropriate healthcare use, not avoiding hospitals at any cost.

RNCCI provides a strong environment for measuring trajectory

The RNCCI is particularly suited to outcome measurement because many of its responses have an explicit therapeutic or rehabilitative purpose.

The person enters with a defined combination of clinical and functional needs and should leave when those needs change, when goals are achieved or when another pathway becomes more appropriate.

This creates an opportunity to measure trajectory.

A useful RNCCI evidence set could connect:

• functional condition on admission and discharge;
• rehabilitation goals achieved;
• length of stay relative to clinical purpose;
• destination after discharge;
• readmission or return to acute care where relevant;
• person and family experience of the transition.

The purpose is not to reward rapid discharge regardless of need.

A shorter stay is not automatically better if the person leaves before support is ready. Equally, a prolonged stay may represent poor flow rather than better care.

Outcome interpretation therefore needs clinical and social context.

The Commissioner Evidence Builder can help organisations structure the relationship between intended outcomes, delivery evidence and review. Although its terminology is not specific to Portuguese RNCCI administration, the underlying logic is useful: define what the intervention is meant to achieve before deciding how success will be measured.

Home support needs to measure what happens between visits

SAD presents a different measurement challenge because the service is intermittent.

A worker may spend limited periods in the person’s home while the outcome unfolds across the whole day and week.

Visit completion is therefore only a partial measure.

Consider an 82-year-old woman living alone in Leiria who begins SAD after several falls and increasing difficulty preparing meals. The service delivers every planned visit.

After three months, she is eating more consistently, has had no further falls, feels confident showering with support and has resumed attending a local social activity once a week.

Those changes describe the value of the service more clearly than the number of visits delivered.

If instead she remains increasingly isolated, loses weight and experiences repeated falls, perfect visit completion should not create a false impression that the support model is achieving its purpose.

Outcome-focused home care therefore requires review of what happens beyond the task itself.

The service cannot control every part of the person’s life, but it can identify whether the current intervention still contributes to the intended outcome.

Outcome measurement needs to account for geographic inequality

Portugal’s regional variation means national outcome averages can conceal important differences.

A home-support service operating in Lisbon may have access to dense healthcare networks, shorter travel distances and a larger labour market. A provider serving remote communities in Alentejo or Trás-os-Montes may face long routes, limited workforce supply and fewer alternatives when a person’s needs increase.

Those differences can affect outcomes.

Someone in a rural area may wait longer for a particular intervention or rely more heavily on relatives. Transport may determine whether rehabilitation or community participation continues. Digital services may compensate for some distance while introducing new accessibility issues.

National analysis should therefore avoid interpreting territorial outcome variation too quickly.

Poorer outcomes may reflect provider performance, structural access constraints or both.

The governance task is to identify which.

This is where outcome data becomes more useful than simple capacity counts. If two territories have similar nominal service coverage but materially different rates of independence, continuity or hospital use, further analysis can explore what explains the difference.

Equity matters because averages can hide who benefits

Outcome measurement should also examine distribution.

A service can report strong average outcomes while particular groups benefit less.

People with low income may struggle to purchase additional support where public provision is insufficient. Those living alone may have weaker informal networks. Migrant older people or people with communication differences may experience services differently. Digital tools may benefit confident users while excluding others.

The relevant question is therefore not only whether outcomes improve overall.

It is whether improvement is reasonably distributed.

This connects with health inequalities and prevention. Outcome data should help identify where existing service models are least effective, not merely provide a national average that looks reassuring.

Equity analysis may involve geography, income, age, level of dependency, living arrangement and other factors where data collection is lawful, proportionate and useful.

Digital systems can make outcomes more visible if data are designed around decisions

Portugal’s digital-health capability creates significant opportunities for more connected outcome measurement, particularly where people move between hospital, RNCCI, primary healthcare and community services.

But digitisation should not be confused with measurement maturity.

An organisation can collect thousands of data points without improving a single decision.

The purpose of digital outcome systems should be to identify meaningful change, support review and make patterns visible at the right organisational level.

For example, an electronic care record could show that an older person’s mobility has declined over several weeks. A dashboard could identify rising hospital transfers from one residential service. A regional view could reveal that people in one area remain substantially longer within a particular stage of the RNCCI pathway.

The technology becomes useful when someone is responsible for interpreting and acting on that information.

This is why data quality and performance metrics need governance as much as software.

The Digital Transformation Readiness Assessment can help organisations examine whether strategy, workforce, systems and information governance are sufficiently aligned to support more sophisticated digital evidence. The objective should remain better decisions rather than more data collection.

Outcome measures need to be usable by frontline teams

Measurement can become burdensome when it is designed mainly for national reporting.

Frontline staff then experience data collection as administration detached from care.

Strong outcome systems give information back to the people entering it.

A SAD team should be able to see whether the person’s independence is changing. An RNCCI team should be able to track progress towards rehabilitation goals. An ERPI should be able to identify whether falls, weight loss or declining engagement are concentrated among particular residents.

Measures therefore need to support individual review as well as organisational accountability.

This also improves data quality.

Workers are more likely to record information accurately when they understand how it influences decisions.

The operational principle is simple: collect data that somebody can use.

Fields included only because they have historically been reported should be questioned if they no longer inform care, quality assurance or planning.

Outcome measurement should avoid creating perverse incentives

What systems measure can unintentionally change behaviour.

If RNCCI services were judged principally on length of stay, pressure could develop to discharge people before the next pathway is sustainable.

If ERPI providers were judged mainly on falls, overly restrictive practices could appear attractive.

If SAD performance focused exclusively on visit punctuality, workers might prioritise clock times over responding appropriately when someone is distressed or unwell.

Good measurement therefore needs balance.

No single indicator should dominate the definition of quality.

The Quality Dashboard Builder can help organisations construct a more balanced picture combining outcomes, workforce, safety, experience and operational indicators. It does not prescribe Portuguese metrics, but it illustrates the principle that leadership should see several dimensions together.

This reduces the risk that improvement in one metric hides deterioration elsewhere.

Outcome data should influence funding and capacity decisions

Portugal faces a significant long-term-care financing challenge as population ageing increases future demand while public expenditure remains comparatively low.

This makes outcome evidence strategically important.

Where resources are limited, decision-makers need to understand not only what different models cost but what they achieve.

Suppose two community programmes support similar populations. One delivers substantially more hours of support, while the other produces stronger maintenance of independence and fewer unplanned transitions into higher-intensity care.

That does not automatically prove the second is better. Different populations may have different needs.

It does demonstrate why activity alone cannot support resource decisions.

Outcome information can help authorities and provider organisations examine value more intelligently.

This is not the same as reducing all care to financial return.

Quality of life, dignity and autonomy have intrinsic value even where they do not generate an immediate cash saving.

But understanding outcomes helps Portugal invest in services that achieve the purposes for which public and household resources are being used.

National comparability and local flexibility need to coexist

A future Portuguese long-term-care outcome framework would need to balance standardisation with relevance.

Too little standardisation makes comparison impossible.

Too much standardisation can make measures meaningless for individual services.

A practical structure could contain a small number of common outcome domains across long-term care, such as:

• safety;
• function and independence;
• quality of life and autonomy;
• experience and involvement;
• continuity and transition quality;
• family or informal-care sustainability where relevant.

Each service type could then apply more specific indicators under those domains.

RNCCI rehabilitation could emphasise functional recovery and destination. SAD could focus more strongly on maintaining independence and continuity at home. ERPI could emphasise quality of life, autonomy, safety and meaningful participation.

This would create enough common language for national governance without pretending that every service has the same purpose.

People using services should influence what Portugal measures

Outcome frameworks are often designed by professionals because professionals understand policy, data and service structures.

People using care understand something equally important: what good support feels like.

An outcome framework developed without their input may measure what organisations find convenient rather than what individuals value.

Co-production does not mean asking people to design statistical methodology.

It means testing whether the domains being measured reflect real priorities.

Older people may emphasise continuity, respect, being able to go outside, relationships, control over routines and confidence that help will arrive when needed. Families may highlight communication and predictability. Workers may identify practical indicators of functional change that management data currently miss.

The Social Value Report Builder can help organisations translate broader social and community outcomes into structured evidence. It is not a Portuguese national measurement tool, but its approach is relevant where outcomes such as participation, family impact and community connection are otherwise difficult to make visible.

Governance should focus on trends rather than isolated scores

Outcome data becomes most powerful when it reveals trajectory.

A single satisfaction score or functional assessment tells decision-makers relatively little without comparison over time.

Is resident experience improving? Are functional gains after rehabilitation being sustained? Are hospital transfers rising? Has workforce turnover coincided with weaker continuity? Are particular regions consistently experiencing poorer outcomes?

Trends create questions.

They also help distinguish random variation from persistent problems.

This is where quality assurance and governance need to close the loop between measurement and action.

The Governance Maturity Assessment can help organisations test whether information is reaching the people able to act and whether recurring findings translate into decisions. Data that never influences service design is reporting rather than governance.

Better outcome measurement could strengthen Portugal’s long-term-care reform

Portugal’s continuing expansion of formal long-term care creates an important moment for measurement reform.

If future investment is tracked mainly through beds created, capacity expanded and services delivered, policymakers will know whether supply increased.

They will know much less about whether additional provision improved the lives of older and dependent people.

A stronger approach would build outcome measurement into expansion itself.

New home-support models could test whether people remain independent for longer. Expanded ECCI provision could examine functional recovery, continuity and avoidable institutional transitions. Additional residential capacity could track quality of life alongside safety and occupancy.

This would also strengthen accountability for future long-term-care spending.

Portugal is expected to devote progressively more public resources to long-term care over coming decades. The legitimacy of that investment will be stronger if government, providers, people using services and families can see what the additional capacity achieves.

What other countries can learn from Portugal’s measurement challenge

Portugal’s challenge is shaped by its own system: divided health and social responsibilities, RNCCI integration, a major social and solidarity sector, strong family participation and significant regional variation.

But the underlying measurement problem is international.

Most long-term-care systems find activity easier to measure than quality of life.

Beds, visits, costs and staff numbers are administratively visible. Autonomy, confidence, continuity and meaningful participation are harder.

Portugal’s experience highlights why systems need both.

Activity measures tell leaders whether resources exist and are being used. Outcome measures tell them whether those resources make a difference.

The transferable lesson lies in maintaining that distinction while connecting the two.

A mature long-term-care system should be able to explain not only how much care it provides, but what that care is intended to achieve, how achievement is measured and what changes when results are weaker than expected.

Conclusion

Portugal already possesses substantial information about long-term-care activity. Carta Social maps social responses and capacity; RNCCI systems provide visibility of referral, admission, utilisation and transition; providers generate workforce, incident and service data. These foundations are essential. Yet they describe only part of the value created by long-term care.

The stronger next step is to make outcomes more visible. Functional improvement matters where rehabilitation is the goal. Maintaining independence matters where frailty is progressive. Safety matters, but so do autonomy, dignity and meaningful participation. Continuity matters because relationships influence both experience and early recognition of deterioration. Family sustainability matters because formal services operate within a system still heavily dependent on unpaid care.

Better measurement does not require one universal score. Portugal’s services have different purposes, and their outcome indicators should reflect those differences. What is needed is a common discipline: define what each intervention is trying to achieve, measure changes that matter to the person, interpret results alongside risk and context, and ensure evidence reaches those responsible for service and policy decisions.

As Portugal expands formal long-term care, this shift from activity to outcome will become increasingly important. Capacity tells the country how much support it has built. Outcomes will tell it whether that support is preserving function, strengthening independence and improving the quality of people’s lives. That is the evidence ultimately required to judge whether long-term-care reform is delivering more than additional services.