Quality and Safety in Swiss Long-Term Care: Governance, Standards and Accountability

An older person living in a Swiss nursing home may receive technically appropriate nursing care, experience no major incident and still have a poor quality of life because pain is not recognised consistently, routines are overly restrictive or important preferences have gradually disappeared from everyday support. A person receiving Spitex care may be clinically stable but experience repeated communication failures between hospital, general practitioner, pharmacy, relatives and home-care staff.

These examples illustrate why quality in long-term care cannot be reduced to compliance with a single standard. Across the Switzerland Ageing, Long-Term Care & Community Support Knowledge Hub, quality has to be understood within Switzerland’s wider federal structure: the Confederation establishes important health-insurance and national quality requirements, cantons shape authorisation and oversight, insurers interact with reimbursable care, providers control day-to-day practice, and older people and families experience the result at service level.

Switzerland has strengthened national quality development in recent years. Nursing homes now contribute data to national medical quality indicators, the Federal Quality Commission has an explicit role in supporting quality development, and federal objectives increasingly connect measurement with systematic improvement. Yet long-term care remains a field where quality visibility is uneven. Nationally comparable nursing-home data cover only part of what matters, while community and home-care quality is harder to observe consistently across all 26 cantons.

The next stage is therefore not simply to collect more data. It is to connect regulation, workforce capability, lived experience, clinical indicators and local learning strongly enough that quality information changes practice.

Swiss quality governance is deliberately layered rather than centred on one regulator

International readers accustomed to a single national inspection authority can easily misunderstand Swiss long-term care governance.

Switzerland does not operate one unified national long-term care regulator that inspects every nursing home and Spitex organisation against one comprehensive national framework. Responsibilities are distributed across federal law, cantonal systems, professional duties, provider governance, health insurers and national quality-development arrangements.

The Federal Health Insurance Act, the Krankenversicherungsgesetz or KVG, establishes important requirements for services financed through compulsory health insurance, known as obligatorische Krankenpflegeversicherung or OKP. Providers of recognised nursing care must meet the relevant conditions to participate in the system, while care homes must be included on the appropriate cantonal list and organisations providing care at home must satisfy applicable cantonal requirements.

Cantons therefore occupy a particularly important operational position. They shape licensing, approval, oversight and elements of long-term care organisation within their territory. Municipalities may also carry responsibilities depending on the canton and local financing arrangements.

This creates a form of distributed governance and leadership. It can support local adaptation because cantons can respond to their own service structures and population needs. It can also produce variation in oversight processes, reporting expectations and the practical meaning of quality assurance.

For providers, the essential discipline is therefore to understand which requirements are national, which are cantonal and which are organisational. A policy that satisfies one part of the system cannot automatically be assumed to satisfy all three.

Federal quality policy increasingly expects systematic improvement, not passive compliance

Swiss quality policy has developed beyond a narrow model in which providers simply demonstrate that minimum requirements have been met.

Changes to the KVG strengthened the federal framework for quality development. The Federal Council sets strategic quality objectives, while the Federal Quality Commission supports national quality-development work, including programmes, projects and the translation of evidence into practice.

Associations of healthcare providers and insurers also have responsibilities for quality agreements under the KVG framework. These arrangements are intended to establish how quality is measured, developed and reviewed within relevant service sectors.

The current federal quality strategy and objectives for 2025–2028 continue this direction. The implication for long-term care is important: quality should increasingly be regarded as something that is measured, improved and governed over time rather than demonstrated only when an inspection, complaint or funding review occurs.

This distinction matters particularly as demand increases. A system can meet today’s minimum requirements while becoming progressively less resilient if staff turnover rises, continuity falls, pain recognition weakens or restrictive practices become normalised.

Quality governance therefore needs leading as well as lagging information. Incidents and complaints remain important, but they should sit alongside indicators of workforce stability, clinical practice, resident experience and improvement activity.

Organisations examining whether these different assurance layers are visible to leadership can use the Governance Maturity Assessment as a general framework for testing accountability, escalation and oversight. It is not a Swiss regulatory tool, but it can help structure the questions that leaders need to ask.

National nursing-home quality indicators create useful comparability without describing total quality

Nursing homes provide one of the clearest examples of Switzerland’s move towards national quality measurement.

Under Article 59a KVG, providers are required to supply information needed by the federal authorities to monitor economic efficiency and quality. Swiss nursing homes consequently provide data that support the calculation of national medical quality indicators.

The current framework contains six indicators across four broad domains: pain, malnutrition, physical restraint and polypharmacy.

The 2023 data, published in 2025, covered more than 1,200 nursing homes. Data quality had improved sufficiently for risk-adjusted indicators to be calculated at individual nursing-home level, allowing more meaningful comparison between facilities in the measured areas.

This is an important development because it gives providers, cantons, researchers and the public greater visibility than national averages alone.

Yet the Federal Office of Public Health is explicit that these indicators do not measure the total quality of a nursing home. They do not capture every aspect of structure or process quality, nor do they fully describe resident satisfaction, relationships, autonomy or quality of life.

That limitation is crucial.

An indicator should trigger inquiry rather than create a simplistic league table. A high or low result may reflect practice, resident population, documentation, assessment culture or a combination of factors. Risk adjustment improves comparison, but interpretation still matters.

This is why quality data and performance metrics are most powerful when they support investigation and improvement rather than merely produce rankings.

Scenario: a nursing home appears to be an outlier on restrictive practice

A medium-sized nursing home receives its national quality-indicator results and sees that its position on one restraint-related measure differs materially from comparable homes.

The management team could treat this as a reputational problem and focus on explaining why its resident population is more complex. Instead, it uses the result as the starting point for a structured review.

Records are examined to understand when restrictions are used, why they were introduced, how alternatives were considered and whether reviews occur quickly enough. Staff discussions reveal that some restrictions originally introduced after falls have continued because teams are anxious about removing them even after residents’ circumstances changed.

The home therefore reviews practice resident by resident. Mobility, falls, cognition, family concerns and personal preferences are reconsidered alongside the original safety rationale. The aim is not to reduce an indicator mechanically. It is to ensure that restrictions remain proportionate and clinically justified.

The organisation also begins tracking how long restrictions remain in place and whether alternative interventions are attempted before continuing them.

Several months later, the most important improvement is not simply a lower indicator value. Staff are more confident discussing risk, reviews are more timely and residents are being supported to retain greater freedom where that can be achieved safely.

The scenario shows what national indicators are designed to enable: not automatic judgement, but a disciplined conversation about variation and improvement.

Quality in Spitex is harder to make nationally visible

The home-care environment creates a different measurement challenge.

Spitex encompasses public-service-obligation organisations, private providers and self-employed nurses. Services are delivered across thousands of individual homes, often alongside substantial support from relatives.

The KVG and the Health Insurance Services Ordinance establish requirements around reimbursable nursing services, professional assessment and approved providers. Cantonal requirements also apply to home-care organisations.

However, Switzerland does not yet have an equivalent nationally comprehensive quality-indicator picture for home care that captures the full range of outcomes and allows straightforward comparison across all providers and cantons.

That does not mean home-care quality is unmeasured. Providers use assessment systems, care records, incidents, clinical review and local quality processes. Standardised information from instruments such as interRAI also creates opportunities for stronger analysis.

The difference is one of system visibility.

A nursing home concentrates residents, staff and data within one institution. Spitex quality is distributed across private homes, multiple professionals and variable family involvement. Important outcomes may include whether a person remains independent, avoids preventable deterioration, receives medicines safely and can continue living in familiar surroundings.

These outcomes are inherently relational and longitudinal.

Future home-care assurance therefore needs to connect outcomes-based home care with standardised clinical information without turning every visit into an administrative data-collection exercise.

Person-centred quality extends far beyond clinical safety

Clinical indicators are necessary because pain, medicines, nutrition, infection and falls matter profoundly. They are not sufficient because long-term care is also where people live their lives.

For an older person in a nursing home, quality may mean being able to get up later in the morning, eat familiar food, maintain important relationships, continue religious practices or spend time outside. For somebody supported by Spitex, it may mean retaining enough control over daily routines that the home still feels like their own rather than a workplace visited by professionals.

These dimensions sit naturally within person-centred planning for older people.

They also expose a difficult measurement problem. Quality-of-life outcomes are more subjective than medication counts or restraint use. That does not make them less important.

Providers need multiple forms of evidence: resident and family feedback, complaints, observation, care-plan reviews, participation, meaningful activity, continuity of relationships and evidence that individual preferences change care.

The strongest quality systems therefore combine clinical measures with lived experience rather than forcing one to substitute for the other.

Scenario: acceptable clinical indicators hide a decline in everyday life

A nursing home performs reasonably against its available medical quality indicators. There is no obvious deterioration in pain management, nutrition or medicines-related measures, and serious incidents remain low.

Families nevertheless begin raising concerns that residents spend increasing amounts of time sitting in communal areas with little meaningful activity. Staff turnover has increased and temporary employees often know very little about residents’ histories or preferences.

No single incident explains the problem.

A resident-experience review finds that routines have gradually become organised around staff efficiency. Mealtimes are predictable and care tasks are completed, but choices about when people get up, where they spend time and what they do during the day have narrowed.

Management recognises that the clinical dashboard has been telling only part of the story.

Care reviews are redesigned to include meaningful activity, relationships and personal routines. Staff handovers include a small amount of life-story information where relevant, and resident feedback is reviewed alongside medical indicators rather than in a separate annual exercise.

The lesson is important for Swiss quality development. A provider can improve technically measurable care while still weakening the experience of living there. National quality indicators need to remain part of a wider model rather than becoming the definition of quality itself.

Workforce capability is one of the strongest determinants of quality

Quality systems often focus on policies, indicators and audits because these are visible and measurable. Yet many failures and improvements ultimately depend on workforce capability.

Swiss long-term care is already experiencing pressure from demographic change, competition for nursing staff, retirement, reliance on foreign-trained professionals and growing complexity of need.

A nursing home may have enough employees numerically but still face risk if experienced nurses leave faster than they can be replaced. A Spitex organisation may meet aggregate staffing requirements while struggling to provide continuity because schedules depend on many short visits and fragmented part-time availability.

This makes workforce skill mix and practice competence inseparable from quality.

Several workforce measures can therefore provide useful early warning:

• turnover and vacancy rates in key roles;
• use of temporary or unfamiliar staff;
• continuity experienced by residents or home-care clients;
• completion and application of relevant professional development;
• supervision and escalation capacity;
• skill mix during evenings, nights and weekends.

The purpose is not to assume that a particular staffing ratio automatically produces good quality. Different populations and service models require different staffing configurations.

The stronger question is whether the workforce available at the point of care can recognise deterioration, communicate effectively, make sound decisions and escalate when needs exceed local competence.

Quality governance therefore has to connect staffing information with outcomes. Rising falls alongside high turnover, for example, should prompt a different discussion from rising falls in a stable team caring for a rapidly changing resident population.

Safety is often created or lost at the boundaries between organisations

Older people frequently move between hospital, rehabilitation, primary care, Spitex and nursing homes.

Each organisation may provide competent care within its own boundary while the transition between them remains unsafe.

Medication changes are a common example. A person leaves hospital with a revised medicines regimen. The general practitioner may hold one record, the pharmacy another and Spitex staff a third. Family members may continue using an earlier medication list until somebody identifies the discrepancy.

Similar risks arise with wound care, nutrition, mobility, infection status and follow-up appointments.

These are not purely documentation problems. They are governance problems because responsibility is distributed.

Strong transition systems clarify what information needs to move, who checks it and what happens when records conflict.

This connects directly with home-care transitions and hospital interfaces. The quality of the home-care episode may depend heavily on information created before the first Spitex visit occurs.

Scenario: a safe hospital discharge becomes an unsafe home-care handover

An older woman returns home after a short hospital admission. Her antihypertensive medication has been changed and a new diuretic introduced.

The hospital discharge documentation reaches her general practitioner electronically, but the Spitex team receives an older medication list from the family when the first visit begins. The woman herself believes one tablet has been stopped but cannot remember which.

The visiting nurse notices the inconsistency before administering support with medicines.

Instead of choosing the most recent-looking document, she pauses the process and escalates the discrepancy. The current regimen is confirmed with the appropriate clinical sources and the home-care record is updated.

During review, the Spitex organisation identifies that the incident was prevented through staff judgement rather than through a reliable transition process.

The organisation therefore examines recent discharge-related discrepancies and finds several similar near misses. It opens a discussion with local hospital partners about how medication information is transmitted and how urgent clarification should be handled.

The quality response moves beyond praising the nurse. Her decision prevented immediate harm, but the recurring pattern indicates a system-interface weakness.

This is the value of learning from incidents: individual events become evidence about the reliability of the wider care pathway.

Medication, falls, nutrition and pain require different forms of assurance

Long-term care quality covers risks that behave differently and therefore need different controls.

Medication risk depends on prescribing, reconciliation, administration, monitoring and review. Falls involve mobility, environment, medicines, frailty, cognition and individual risk-taking. Nutrition may deteriorate gradually and be influenced by illness, swallowing, mood, dentition or food preference. Pain may be difficult to detect where dementia or communication needs are present.

A generic quality audit is unlikely to capture all of these well.

Providers therefore need assurance that combines routine indicators with case review and professional judgement.

For example, polypharmacy data should not lead mechanically to a target number of medicines. Some residents legitimately require multiple treatments. The governance question is whether medication remains clinically justified and reviewed appropriately.

Similarly, reducing all falls is not necessarily an appropriate goal if the only way to achieve it is to severely restrict mobility.

The strongest approach balances safety with autonomy. Organisations examining that balance can use the Positive Risk-Taking Planner as a generic framework for structuring benefits, risks, safeguards and review. It does not determine Swiss legal or clinical decisions, but it can support clearer reasoning.

Complaints and family concerns are part of the quality evidence base

Formal indicators can show patterns that individual residents may never perceive. Complaints can reveal the opposite: experiences that aggregate data make invisible.

A daughter who repeatedly reports that her father is left waiting too long for help with toileting may be identifying a staffing or workflow problem before it becomes an incident. A Spitex client who complains about constantly changing staff may be describing a continuity problem that is absent from clinical metrics.

This makes feedback and complaints an important source of operational intelligence.

The governance challenge is to distinguish resolution from learning.

A complaint may be closed because the individual receives an apology or immediate correction. That does not establish whether similar people face the same issue.

Providers need thematic review capable of identifying recurrence across units, teams or locations. Questions should include whether the concern has appeared before, whether staffing or process conditions are shared and whether improvement is sustained after the individual case closes.

Families also require a balanced role. They can provide vital information, particularly where an older person has communication or cognitive difficulties, but family preferences do not automatically replace the person’s own wishes.

Quality systems therefore need to listen without allowing family involvement to erase individual autonomy.

Digital records can strengthen assurance only if information is usable across the pathway

Digitalisation offers significant potential for Swiss long-term care quality.

Electronic care planning can make assessments, medication changes and risk information more accessible. Structured data can help identify deterioration across populations. Remote monitoring may support selected people at home. Automated workflows can prompt reassessment or follow-up.

But digitising isolated systems can also reproduce fragmentation more efficiently.

If hospital, primary care, pharmacy, nursing home and Spitex systems cannot exchange relevant information reliably, each organisation may maintain a high-quality record that does not support the next stage of care.

This is why interoperability and system integration are quality issues as well as technology issues.

Data quality matters too. Poorly coded or inconsistently recorded information can produce misleading performance signals.

Technology should therefore support a clear clinical and governance purpose. Organisations considering new digital systems can use the Digital Transformation Readiness Assessment to test whether infrastructure, workforce capability, information governance and implementation are sufficiently mature to support change.

Digital development should reduce duplication and improve decisions rather than shift professional time from residents to increasingly complex documentation.

Quality data become valuable only when they produce improvement

The publication of national indicators is an important step, but transparency alone does not improve care.

An organisation can receive a dashboard, note that one value is above average and continue operating largely unchanged.

The value appears when data create disciplined inquiry.

Strong improvement systems move from signal to explanation. They ask what population sits behind the number, whether documentation is reliable, what practice has changed, how staff understand the issue and whether previous actions produced a measurable effect.

This requires improvement capability at frontline and management level.

A useful cycle might include:

• identify meaningful variation;
• validate the underlying data;
• review relevant resident or client experiences;
• test an operational change;
• measure whether practice and outcomes improve;
• retain, adapt or stop the intervention based on evidence.

This is the practical purpose of continuous improvement. The goal is not endless change. It is the ability to distinguish between a problem that requires action and random variation that does not.

Providers wanting to integrate workforce, incidents, clinical measures and resident experience into one governance view can use the Quality Dashboard Builder as a general framework. Its value lies in structuring information for decision-making rather than replacing the indicators, requirements or oversight arrangements used in Switzerland.

Cantonal variation creates both flexibility and an assurance challenge

Federalism is a defining feature of Switzerland’s long-term care system, and quality is no exception.

Cantons differ in population structure, service geography, provider markets, financing arrangements and administrative practice. Urban cantons may oversee dense networks of nursing homes and Spitex providers, while mountain and rural regions face different workforce and travel constraints.

Uniform national requirements can therefore be helpful where comparability matters, but complete standardisation would not necessarily produce better local care.

The challenge is determining where variation represents legitimate adaptation and where it indicates avoidable inequality.

For example, different approaches to provider oversight may be reasonable if they produce equivalent assurance. Variation becomes more problematic when comparable concerns are identified, measured or acted upon very differently simply because people live in different cantons.

This creates a need for greater transparency about processes as well as outcomes.

Cantons and national bodies can learn from each other by comparing how data are used, how providers are supported to improve and how persistent quality concerns are escalated.

Federalism is therefore not incompatible with stronger national learning. It simply requires mechanisms that respect cantonal responsibility while making important variation visible.

Scenario: similar quality concerns produce different local responses

Two nursing homes in different cantons identify increasing medication-related concerns among residents with multiple chronic conditions.

Both homes have comparable resident profiles. Each records several incidents involving medicine changes after hospital discharge.

In one canton, established local relationships between hospitals, pharmacies, nursing homes and primary-care physicians make it relatively easy to convene a cross-sector review. A common handover process is agreed and recurring discrepancies are monitored.

In the second canton, organisations investigate incidents internally but there is no equivalent mechanism for comparing patterns across providers. The nursing home improves its own checking process, yet upstream documentation remains inconsistent.

Neither response is inherently a consequence of weaker professional practice. The difference lies in system infrastructure.

If national or intercantonal learning later identifies medication reconciliation as a recurring issue, both experiences become useful. One demonstrates a workable interface response; the other demonstrates why provider-level improvement may be insufficient when the risk originates across organisational boundaries.

This is the governance value of making variation visible without assuming that one canton’s structure can simply be imposed everywhere else.

Quality assurance must anticipate demographic and workforce change

Switzerland’s ageing population means that tomorrow’s quality risks will not be identical to today’s.

Nursing homes are likely to care for increasingly complex residents as more people remain at home for longer. Spitex services will encounter greater multimorbidity, dementia, palliative needs and coordination requirements. Family carers may support people whose clinical complexity previously would have led to earlier residential admission.

This changes what good assurance needs to see.

A nursing home’s ability to manage pain, medicines and infection will remain important, but so will access to advanced nursing expertise, palliative competence and effective medical support.

Home-care quality systems will need to become better at recognising deterioration across multiple visits and organisations.

Workforce shortages may also create quality risks that emerge gradually rather than dramatically: less continuity, shorter visits, reduced supervision, delayed training or growing reliance on inexperienced staff.

Future assurance therefore needs to monitor resilience, not only current compliance.

This is particularly important because a provider may continue meeting formal requirements for some time while operational headroom deteriorates.

Quality governance should be capable of identifying that deterioration before it appears as repeated harm.

National quality development is moving towards a broader evidence model

Switzerland’s current direction suggests that long-term care quality measurement will continue to develop.

The Federal Quality Commission has identified quality in retirement and nursing homes as an important programme area. Research is examining links between organisational factors, workforce conditions and resident outcomes, while work around national indicators is exploring how the existing evidence base can be strengthened.

This matters because the original indicator framework was never intended to capture every dimension of long-term care.

Potential future development can reasonably focus on areas where quality is both important and measurable, while avoiding an uncontrolled expansion of administrative burden.

The strongest national system would combine several layers:

• a limited set of comparable national indicators;
• cantonal oversight responsive to local service structures;
• provider-level quality and improvement systems;
• workforce and organisational data capable of explaining outcomes;
• resident and family experience;
• national learning that identifies recurrent system risks.

The challenge will be maintaining proportionality.

Every new indicator creates data work. If the information does not influence clinical practice, service design or accountability, it becomes an administrative cost rather than a quality intervention.

Expansion should therefore be judged not by the amount of data collected but by whether the information helps people make better decisions.

International learning lies in combining decentralisation with common evidence

Switzerland offers useful international lessons precisely because its quality system is not completely centralised.

The country demonstrates that national indicators can coexist with strong regional responsibility. Federal law can establish common expectations while cantons retain significant influence over how services are organised and overseen.

The model also exposes the limits of decentralisation. Without comparable information, variation can be difficult to interpret. A highly autonomous system therefore still needs common data if it wants to distinguish local innovation from hidden inconsistency.

The second lesson concerns indicator design. Switzerland’s nursing-home measures show the value of focusing on a limited number of clinically important domains while clearly acknowledging what they do not measure.

The third lesson is that public reporting should support improvement rather than simplistic ranking. Risk-adjusted indicators can identify possible quality gaps, but organisational context and resident experience still matter.

The fourth lesson is that long-term care quality cannot be separated from workforce policy. As populations age, countries that measure outcomes without understanding workforce capability will see only part of the causal picture.

The fifth lesson concerns system interfaces. Some of the greatest risks arise not inside a nursing home or home-care organisation but between services. Quality architecture therefore needs to follow the person across organisational boundaries.

Other countries could adapt these principles without replicating Switzerland’s federal institutions. The transferable idea is a layered model in which national evidence, local accountability and provider improvement reinforce rather than replace one another.

Conclusion

Switzerland is building a more visible and systematic approach to long-term care quality, but its federal structure means that accountability will continue to be shared rather than concentrated in a single national authority.

The KVG establishes important national quality and data requirements. The Federal Council and Federal Quality Commission provide strategic direction. Cantons remain central to provider approval, oversight and local service organisation. Nursing homes increasingly operate within a national indicator framework, while home-care quality remains more difficult to compare consistently across the country.

The central strategic challenge is therefore not simply stronger regulation. It is stronger connection between the different forms of evidence already available.

Clinical indicators need to sit alongside resident experience. Workforce data need to be interpreted alongside outcomes. Complaints need to generate thematic learning. Hospital, primary-care, nursing-home and Spitex information needs to travel with the person rather than stop at organisational boundaries.

As care needs become more complex, quality assurance will also need to become more predictive. The strongest systems will identify declining resilience before it produces repeated harm.

Switzerland’s opportunity is to preserve the flexibility of cantonal delivery while developing enough common evidence to understand variation nationally. If quality data become a basis for learning rather than merely reporting, federalism and national improvement do not have to compete. They can become complementary parts of a long-term care system that is safer, more transparent and more responsive to the lives of older people.