Quality and Safety in Slovenia’s Long-Term Care System: Building Consistent Assurance

A person receiving long-term care rarely experiences “quality” as a framework or an indicator. Quality is whether support arrives when agreed, whether medication is handled safely, whether workers understand personal preferences, whether changing needs are noticed and whether concerns lead to action. In residential care, it is also whether everyday life retains meaning beyond the completion of essential care tasks.

These practical experiences now sit inside a much larger transformation. Slovenia is implementing statutory long-term care rights while simultaneously developing the assurance arrangements needed to show whether those rights are being delivered safely and consistently. The wider Slovenia Ageing, Long-Term Care & Community Support Knowledge Hub examines how financing, eligibility, workforce, home support and institutional care are changing within this new settlement.

Quality assurance is a particularly important part of that transition because Slovenia is not simply expanding an established service model. New entitlements, provider responsibilities, entry points, personal plans and financing arrangements are interacting with existing social-welfare and healthcare services. Assurance therefore has to do more than identify whether an organisation follows procedures. It needs to show whether the emerging system works for people.

Slovenia has established a quality and safety model built around user-centred care, leadership, resource management, risk, defined indicators and improvement. The strategic opportunity is to make that model a learning system rather than allowing measurement to become a parallel administrative exercise.

Quality has been built into the architecture of long-term care

The Long-Term Care Act, ZDOsk-1, establishes the statutory framework within which the new system operates. Detailed rules then address services, staffing, training, supervision, provider registration and other operational requirements. Providers delivering long-term care within the system must meet the applicable conditions and be entered in the national register of long-term care providers and e-care providers maintained by the National Institute of Public Health, NIJZ.

Alongside these legal requirements, the Ministry for a Solidarity-Based Future has developed guidance for establishing a model of quality and safety across long-term care and relevant social-welfare services. Its underlying principles are significant. Quality is framed around dimensions including user-centredness, timeliness, continuity, equality, safety, effectiveness, efficiency and continuous improvement.

That is broader than conventional compliance.

A service can follow a process correctly while still producing a poor experience. Equally, an isolated adverse event does not automatically prove that an entire service is poor. Meaningful assurance needs to understand patterns, context and outcomes.

The emerging model therefore creates an opportunity to connect quality standards and assurance frameworks with what happens operationally. Leadership, resources, service delivery and improvement are not separate quality domains: they are interacting parts of the same system.

This distinction is particularly important during reform. If assurance concentrates only on whether new administrative requirements have been introduced, Slovenia could demonstrate implementation without knowing enough about its consequences. The stronger test is whether formal implementation is producing dependable support.

National consistency has to coexist with different forms of care

Long-term care at home and long-term care in an institution are both part of the statutory system, but quality cannot be observed in exactly the same way in each setting.

In an institution, staffing, medication processes, accommodation, activities and organisational routines operate within a defined environment. Managers can observe practice directly and analyse patterns across a resident population.

Home-based care is distributed across individual households. Workers travel between locations, frequently work alone and encounter different physical environments and family circumstances. A service failure may involve an uncompleted visit, late support or insufficient continuity rather than an incident occurring within one building.

Slovenia’s quality framework reflects some of these differences. Quality indicators include medication safety incidents across relevant long-term care provision, participation in leisure activities for institutional care and the delivery of agreed hours within home-based long-term care. System-level workforce information also includes employee turnover, training and sickness absence.

The principle is important: assurance should follow the risks and intended outcomes of the service model rather than applying one identical measure everywhere.

There is nevertheless a common quality question across settings. Is the person receiving the support that was planned, in a way that protects safety, dignity and independence?

That question can connect national standards with local evidence while leaving room for different forms of provision.

Indicators are useful when they trigger questions rather than provide verdicts

A quality indicator converts part of service performance into something that can be tracked. Its value lies in making variation visible.

Slovenia’s framework includes a particularly instructive home-care measure: agreed long-term care hours that are not delivered for reasons attributable to the provider. The measure recognises that unexpected staff absence, transport problems or insufficient replacement capacity can result in planned support not taking place.

Imagine a provider delivering long-term care at home across several municipalities. In one month, sickness increases and a vehicle becomes unavailable. Most visits are reorganised, but some agreed hours cannot be delivered.

The number itself matters, but it does not explain enough. Managers need to know which people were affected, whether essential support was protected, why replacement arrangements were insufficient and whether the same geographic area or time of day is repeatedly vulnerable.

A useful response would therefore connect the indicator with operational evidence:

• the number and pattern of agreed hours not delivered;
• the reasons for non-delivery and whether they recur;
• the needs and risks of people affected;
• what alternative arrangements were made;
• whether people and families were informed promptly; and
• what corrective or preventive action followed.

This turns quality data and performance metrics into management intelligence. A low figure should not automatically be interpreted as excellent care, nor should a temporary increase automatically demonstrate poor quality. The important question is what the organisation learns from the pattern.

Organisations examining similar assurance challenges can use the Quality Dashboard Builder to structure relationships between indicators, operational risks and governance information. It is not a Slovenian reporting mechanism; its relevance lies in helping leaders avoid treating isolated metrics as complete evidence of quality.

Medication safety shows how incident reporting can support learning

Medication provides a useful example of how assurance can move beyond counting adverse events. Slovenia’s quality guidance includes medication safety incidents for both institutional and home-based long-term care, with electronic monitoring intended to capture not simply that an incident occurred but information about its type, circumstances, response and corrective or preventive measures.

This creates the basis for learning.

Consider an institutional long-term care provider where two medication incidents occur within several weeks. Neither causes serious harm. If they are treated separately, managers may conclude that individual workers made unrelated mistakes.

A thematic review could reveal something different. Both occurred during a busy handover period after rota changes. The documentation system requires employees to move between two information sources, and staff report interruptions while medication is being managed.

The quality response is then broader than reminding the individuals involved to be careful. Managers can examine the workflow, staffing, information design and interruption risk. Subsequent monitoring can establish whether the changes reduce recurrence.

This is the difference between incident recording and incident learning. Recording creates accountability for an event. Learning asks what the event reveals about the system.

It also requires a proportionate culture. Employees need to report mistakes and near misses rather than conceal them because reporting is experienced solely as blame. At the same time, a learning culture cannot mean an absence of individual accountability where conduct is deliberately unsafe.

The strongest approach distinguishes human error, system weakness, competency concerns and unacceptable practice, then responds appropriately to each.

This is where learning from incidents becomes part of safety governance rather than an administrative aftermath.

Quality needs to measure life as well as risk

Safety is fundamental, but a long-term care system cannot define quality solely through the absence of harm.

People receive long-term care because they need sustained support with everyday life. The purpose is therefore broader than preventing incidents. Quality also concerns autonomy, relationships, participation, dignity and the extent to which support helps people retain abilities that matter to them.

Slovenia’s inclusion of participation in leisure activities among the indicators relevant to institutional long-term care is important in this respect. The measure considers people who have expressed a wish within their individual plan to participate in such activities and whether they are actually included.

That moves assurance closer to the person’s own objectives.

Consider an 87-year-old man entering institutional long-term care after living alone. His personal plan records that music and a weekly social group are important to him. He receives safe personal care, meals and medication, but over several months rarely participates because activities coincide with other routines and staff do not consistently help him reach them.

A purely safety-focused review might find little wrong. A person-centred quality review sees a different issue: an expressed preference has not translated into everyday life.

The provider should not respond simply by increasing the number of activities on its timetable. It needs to understand why this particular person is not participating and whether timing, mobility, communication, staffing or his changing preferences explain the gap.

That approach reflects wider outcomes, independence and community inclusion. Quality is strongest when the system can see both protection from harm and the presence of a life the person values.

Personal plans create an important bridge between entitlement and quality

Slovenia’s entitlement structure determines the category of long-term care and the corresponding level of support available. Quality begins after that decision, when an abstract entitlement has to become an individual pattern of assistance.

The personal plan is therefore more than an administrative document. It provides a reference point against which actual delivery can be understood.

For somebody receiving long-term care at home, the plan can connect assessed need with agreed services, timing and personal priorities. The coordinator then has an important role in maintaining the relationship between the formal right and the person’s changing circumstances.

Imagine a 79-year-old woman near Celje who initially needs help with personal care and household activities following a decline in mobility. Her support begins as planned. Six months later she is physically stronger and wants to undertake more tasks herself, but her care pattern has become routine. Workers continue doing activities for her because it is quicker.

No obvious safety incident has occurred. All planned visits are being delivered. Yet the service may no longer be achieving the best outcome.

A meaningful review would ask whether support can shift from task completion towards maintaining capability. That may require workers to allow more time for the woman to participate, even where doing the task for her would be operationally faster.

This illustrates why support planning and review are central to quality assurance. A plan is not evidence of person-centred care simply because it exists. Assurance should establish whether it remains relevant, whether the person recognises their priorities within it and whether delivery changes when circumstances change.

The Positive Risk-Taking Planner can help organisations examining similar situations structure the balance between independence, foreseeable risk and proportionate support. It does not replace Slovenian assessment or care-planning requirements; it provides a practical framework for thinking through choices where safety and autonomy need to be considered together.

Workforce information belongs inside the quality picture

Slovenia’s quality model explicitly recognises workforce evidence. Turnover, education and training, and sickness absence provide information about the conditions in which services are being delivered.

The inclusion is significant because quality deterioration often begins before a serious incident occurs.

A provider may experience increasing sickness absence. Remaining employees cover additional work. Training is postponed. Turnover then rises, requiring new recruitment and induction. Continuity deteriorates. Eventually the effects become visible through missed support, complaints or incidents.

If governance examines only the final event, it sees the problem late.

Workforce indicators can provide earlier warning, but interpretation remains important. A single month of higher sickness does not prove an unsafe service. Persistent sickness combined with overtime, turnover and uncompleted home-care hours presents a more significant pattern.

Quality assurance therefore needs to connect workforce and service evidence rather than placing them in separate reporting streams.

A residential service experiencing higher employee turnover might examine whether medication incidents, complaints or reductions in participation are changing at the same time. A home-care provider might compare sickness absence with continuity and undelivered hours. The purpose is not to manufacture causal relationships from limited data but to identify questions requiring closer examination.

This creates a more mature form of workforce assurance. Staffing information is no longer relevant only to human-resource management. It becomes evidence about the organisation’s capacity to provide dependable care.

The Predictive Workforce Risk Module offers organisations a way to explore similar relationships between vacancies, turnover, retention and service continuity. Its role is analytical rather than regulatory: Slovenian providers remain accountable to the country’s own legal, professional and quality requirements.

Inspection provides external assurance but cannot carry the whole system

Independent oversight is another layer of Slovenia’s emerging assurance architecture. Long-term care inspection sits within the Inspectorate of the Republic of Slovenia for Housing and Long-Term Care, which has responsibilities for supervising compliance in the sector.

Inspection matters because people using long-term care may be dependent on support, may have difficulty raising concerns independently and may not be able simply to change provider when something goes wrong. External scrutiny therefore provides an important safeguard beyond organisational self-assessment.

But inspection cannot substitute for everyday governance.

An inspectorate encounters a service periodically or in response to particular information. Quality is created every day between those interventions. Providers need their own systems for identifying deterioration, responding to complaints, reviewing incidents and understanding whether personal plans are being delivered.

The distinction matters during implementation of a new national system. If organisations regard quality primarily as preparation for external inspection, evidence can become performative: records are organised to demonstrate compliance rather than used continuously to improve services.

A stronger relationship treats inspection as one layer within a wider assurance model. Provider evidence, user experience, national indicators and external scrutiny can then reinforce one another.

Where an inspection identifies a recurring weakness, the response should not stop when an individual corrective action is completed. Leaders should ask whether the issue appears elsewhere, what underlying conditions contributed and how improvement will be sustained.

That is the practical connection between regulation and oversight and organisational learning.

Complaints and user experience reveal what formal indicators can miss

No national indicator set can capture every aspect of long-term care. Some of the most important information arrives through conversations, complaints and observations from people receiving support and their families.

A provider may deliver every scheduled hour while repeatedly changing the worker attending a person’s home. An institution may report low incident rates while residents describe rushed support. A family may notice that an older relative is becoming less engaged before any formal measure changes.

These experiences should not automatically be treated as proof of poor quality. They are intelligence requiring examination.

Consider an older man receiving long-term care at home following a stroke. His daughter complains that different workers frequently arrive and that she repeatedly has to explain his communication needs. The provider’s operational data show that all agreed hours were delivered.

Both accounts can be true.

A narrow performance view concludes that contractual delivery was complete. A broader quality review examines continuity. Managers establish that a staffing shortage has increased rota fragmentation and that information about the man’s communication is recorded but not sufficiently prominent for unfamiliar workers.

The response can then address both issues: improve how essential personal information is presented and examine whether rota design can reduce the number of different workers involved.

This is why service-user feedback and co-production add information that administrative data cannot provide alone.

The important governance test is what happens after feedback is received. Organisations need to identify recurring themes, distinguish individual dissatisfaction from wider patterns and demonstrate where feedback has changed practice.

Quality information needs reliable digital foundations

Slovenia’s quality guidance envisages electronic monitoring for important indicators. That creates an opportunity to build assurance into the operational information infrastructure rather than relying on retrospective manual exercises.

Digitalisation, however, does not automatically produce trustworthy evidence.

If workers record the same information differently, if systems cannot distinguish home and institutional provision correctly or if data definitions change between providers, national comparison becomes weak. A sophisticated dashboard built on inconsistent records can create greater confidence without greater accuracy.

Data quality therefore begins with operational clarity. People entering information need to understand what is being recorded and why. Systems should minimise unnecessary duplication and make important exceptions visible. Leaders need to know where data are incomplete rather than assuming absence of a record means absence of a problem.

Interoperability also matters because long-term care does not exist in isolation. People may simultaneously interact with healthcare, Centres for Social Work, long-term care coordinators and different service providers. Information needs to move lawfully and proportionately across those interfaces without creating repeated assessment or leaving critical safety information trapped in organisational silos.

This is the wider challenge of digital records and information governance. Better data can support national oversight and local decision-making, but privacy, access control and data minimisation remain important precisely because long-term care records contain highly sensitive information about health and daily life.

The Digital Transformation Readiness Assessment can help organisations consider whether governance, workforce capability, cyber resilience and technology are sufficiently aligned to support reliable digital assurance. It does not prescribe Slovenia’s information architecture, but it highlights the organisational conditions needed before digital reporting can be trusted.

Quality problems often occur at system interfaces

Some of the most consequential risks in long-term care do not sit wholly inside one organisation. They occur when responsibility moves between services.

A person may leave hospital needing support at home. Healthcare professionals hold information about treatment and medication. The long-term care provider needs enough information to deliver appropriate assistance. The family may be expecting support to begin immediately, while the person’s formal long-term care arrangements are still being coordinated.

Each organisation can perform its own function correctly and the overall transition can still be poor.

Consider an 82-year-old man discharged following treatment for pneumonia and a period of significant deconditioning. He has an established long-term care entitlement, but his needs are now greater than before admission. His daughter assumes his previous home-care pattern will simply resume.

A safe transition requires more than restarting visits. The provider needs to understand the change in mobility, medication and daily support. The coordinator needs to determine whether the personal plan remains appropriate. Healthcare follow-up needs to be clear. The family needs to know who to contact if the arrangement proves insufficient.

If those interfaces are not coordinated, the resulting incident may later appear to belong to whichever organisation happened to be present when the problem became visible.

System-level assurance therefore needs to examine transitions as pathways rather than allocating every quality issue to an organisational silo. The transferable lesson is that accountability can remain clear while responsibility for improvement is shared.

Safeguarding requires visibility beyond conventional incident data

People using long-term care can experience particular vulnerability because support takes place within intimate areas of everyday life. Risk may arise from employees, other residents, family members, financial relationships or neglect. It may also develop gradually rather than through a single reportable event.

Safeguarding assurance therefore needs more than incident counts.

Consider an older woman receiving care at home whose adult son increasingly controls conversations with workers. He answers questions on her behalf, becomes defensive when finances are discussed and discourages her from speaking privately with the coordinator. No allegation has been made and the woman has not explicitly asked for intervention.

A person-centred response does not automatically assume abuse. Nor should the pattern be ignored because there is no confirmed incident.

Workers need sufficient confidence to record observations accurately and escalate concerns through the appropriate Slovenian social-welfare and protection arrangements. The person’s communication, decision-making ability, wishes and immediate safety need careful consideration. Information may need to be shared proportionately with the relevant professionals or authorities where legal conditions are met.

This is where safeguarding, capacity and consent connect directly with quality governance. Assurance should examine whether staff recognise concerns, whether escalation routes are understood and whether repeated low-level signals are brought together.

Organisations can use the Governance Maturity Assessment to explore whether information about risk, incidents and operational concerns reaches the level at which action can be taken. The framework is not a substitute for Slovenian safeguarding law or professional judgement; its value lies in testing the strength of organisational escalation and oversight.

Variation should become intelligence for improvement

A national long-term care system should seek consistency in rights and fundamental standards without assuming that every provider or municipality will produce identical results.

Variation is inevitable. Populations differ. Geography affects home-care delivery. Workforce availability is uneven. Some institutions support people with more complex needs. Providers are at different stages of organisational development.

The governance challenge is to distinguish explainable variation from avoidable inequality.

Suppose one area repeatedly reports a higher proportion of agreed home-care hours that cannot be delivered. The first response should not be to label the provider poor. National and local leaders need to understand whether the pattern reflects workforce shortages, travel distances, transport, management practice, unusually rapid growth in demand or another factor.

If several providers in similar rural areas show the same pattern, the evidence may point towards a structural problem. If comparable providers perform very differently, there may be useful practice to investigate and share.

This is where national quality data can become much more than oversight. It can support benchmarking, targeted assistance and policy refinement.

The same principle applies to positive variation. A provider achieving strong continuity, lower workforce turnover or high participation should not merely receive a favourable result. The system should ask what it is doing differently and whether the underlying practice can inform others.

That approach turns continuous improvement into a national capability rather than leaving each organisation to learn independently.

The Ministry needs a view of quality that connects access, delivery and outcomes

The Ministry for a Solidarity-Based Future has a central stewardship role in Slovenia’s long-term care reform. As implementation matures, its quality challenge is not simply to collect more information. It is to connect information generated at different stages of the system.

Entry points at Centres for Social Work can see assessment and entitlement. Coordinators and providers see implementation of personal plans. NIJZ maintains provider information. The Health Insurance Institute of Slovenia, ZZZS, has major insurance and financing functions. Inspection provides external oversight. People using services and families experience the combined effect.

No single perspective is sufficient.

For example, entitlement data may show increasing access while provider information reveals workforce constraints. Financial data may demonstrate that services are being funded while quality information identifies repeated non-delivery of planned hours. Inspection may identify a problem already visible in complaints but not apparent within national activity totals.

The stronger national assurance model brings those signals into a coherent interpretation.

This does not require every institution to hold every piece of personal information. Governance can use aggregated and appropriately protected data to understand patterns while respecting the confidentiality of individuals.

The purpose is to answer a small number of strategic questions: are people receiving the rights they have been awarded, is provision safe, are important inequalities emerging, are services improving and where does the system itself need to change?

Assurance should mature as the reform matures

Slovenia is still in an implementation phase. That matters when interpreting quality information.

Early data will inevitably reflect transition: providers adapting to new requirements, people moving from previous arrangements into long-term care, new administrative processes becoming established and workforce capacity adjusting to newly visible demand.

The quality framework should therefore be stable enough to create accountability but adaptable enough to learn from implementation.

Indicators that initially appear useful may prove difficult to interpret. New risks may become visible. Data definitions may need refinement. Some measures may encourage unintended behaviour if organisations focus on improving the number rather than the underlying service.

For example, measuring uncompleted home-care hours is valuable because it identifies potential unmet need. But a provider should not improve the indicator simply by changing personal plans to promise fewer hours than people genuinely require. Governance needs to preserve the connection between measurement and purpose.

Over time, Slovenia can strengthen the balance between structure, process and outcome evidence. Structural measures show whether necessary resources and arrangements exist. Process measures show whether expected activity occurs. Outcome measures provide stronger insight into whether people remain safe, independent, connected and satisfied with the support they receive.

User-reported experience will be particularly important. Long-term care is relational and personal. National assurance that cannot hear the experience of the person risks becoming technically sophisticated but incomplete.

The international lesson is to build learning into assurance from the start

Countries reforming long-term care often face a sequencing problem. Governments understandably prioritise legislation, funding, eligibility and service capacity because without them there is no functioning entitlement. Quality architecture can then appear to be something added once the system is established.

Slovenia’s experience offers a different perspective. Quality indicators, provider conditions, workforce evidence and improvement expectations are being developed while the statutory system itself is taking shape.

The model cannot simply be transferred to another country. Slovenia’s administrative structure, social-insurance arrangements, provider network and relationship between social welfare and healthcare are specific to its institutional context.

The transferable principle lies in treating assurance as part of implementation rather than retrospective inspection.

That means designing information that helps organisations act, not merely report. It means connecting workforce evidence with continuity, incidents with system causes, personal plans with outcomes and national indicators with local context. It also means recognising that external oversight is strongest when providers already possess mature internal learning systems.

There is a further lesson. Quality frameworks need restraint. Measuring everything can create large reporting systems without generating better decisions. A smaller number of well-understood indicators, combined with qualitative evidence and purposeful review, can reveal more than an extensive dataset that nobody uses confidently.

The ultimate measure of an assurance system is therefore not the volume of information it collects. It is whether that information changes decisions in ways that improve care.

Conclusion

Slovenia’s long-term care reform is creating more than new entitlements and financing arrangements. It is also creating a national responsibility to demonstrate that publicly supported long-term care is safe, dependable, equitable and capable of improving people’s everyday lives.

The foundations of that assurance model are becoming visible. Provider registration establishes an entry threshold. Quality and safety guidance gives organisations a framework for leadership, resources, risk and improvement. Indicators make important aspects of delivery visible. Workforce evidence provides early warning about capacity. Inspection adds external scrutiny. Personal plans, complaints and user experience show whether formal arrangements are meaningful to the people they are intended to support.

The next challenge is integration. None of these mechanisms is sufficient alone. Indicators without interpretation can mislead; inspection without strong internal governance arrives too late; safe care without autonomy is incomplete; and person-centred plans without reliable delivery remain promises on paper.

As Slovenia’s system matures, the strongest opportunity is to build a continuous line from individual experience to provider learning and from provider learning to national policy. That requires trustworthy data, transparent escalation and a willingness to investigate variation rather than merely record it.

If that connection is maintained, assurance can become more than proof that long-term care reform has been implemented. It can help Slovenia understand whether the reform is delivering what ultimately matters: support that people can rely upon, relationships that protect dignity and independence, and a system capable of recognising weaknesses and improving before they become entrenched.