Quality, Variation and Accountability in Norwegian Long-Term Care: How Municipal Services Can Demonstrate Good Care

A municipality can report that almost every nursing-home resident received a medication review while another records fewer than half. One area may routinely assess older home-care recipients for malnutrition while another records the practice far less often. Neither comparison can be interpreted safely without understanding who was included, how information was documented, whether reporting was complete and what actually happened to the people concerned.

This is one of the defining governance challenges within Norway’s decentralised long-term care system. Municipalities carry extensive responsibility for home-based services, nursing homes, rehabilitation and other health and care support, but national legislation, professional standards, quality indicators and state supervision create expectations that care should still be safe, effective, coordinated and equitable. Across the wider Norway Ageing, Long-Term Care & Community Support Knowledge Hub, the tension between local autonomy and national accountability is becoming more important as demand grows and increasingly complex care is delivered outside hospital.

The question is therefore not whether every municipality should look identical. Norway’s geography, population density, workforce availability and service infrastructure make that neither realistic nor desirable.

The stronger question is whether every municipality can demonstrate that local differences are understood, risks are controlled, people receive necessary care and poor results trigger investigation rather than explanation alone.

Decentralisation makes local responsibility unusually important

Norwegian municipalities are not simply delivery branches of a single national long-term care organisation.

They have substantial responsibility for organising necessary municipal health and care services within national law. They decide how services are structured locally, how resources are deployed and how needs are translated into home nursing, practical assistance, rehabilitation, nursing-home provision and other forms of support.

This allows care to reflect very different local environments.

A densely populated urban municipality can organise home-care teams around relatively short travel distances. A sparsely populated municipality may need staff to cover long routes, operate smaller institutions and share scarce professional capacity across services. Population age profiles, housing, recruitment and access to specialist healthcare also vary.

Variation is therefore built into the system.

But decentralisation does not weaken the underlying requirement for forsvarlige services: services must be professionally sound, sufficiently organised, delivered in time and coordinated according to need. Norwegian health and care legislation also requires systematic quality improvement and patient and user safety.

The distinction is fundamental. Municipal autonomy concerns how services are organised. It does not create autonomy over whether basic legal and professional expectations apply.

This makes quality and governance in older people’s services inseparable from municipal decision-making.

Quality cannot be reduced to one national score

Norway has a national quality-indicator system covering both specialist and municipal healthcare. For municipal health and care services, indicators provide information on areas such as medication review, nutrition, medical assessment, dental assessment, infections and workforce-related measures.

The Norwegian Directorate of Health describes a quality indicator as an indirect measure: a signal about quality rather than proof of quality in itself.

That caution is particularly important in long-term care.

Consider medication review. In 2025, 62.3 per cent of long-term nursing-home residents aged 67 and over were recorded as having received a medication review during the previous 12 months. The reported county-level range was striking: Oslo recorded 93.5 per cent while Vestland recorded 43.7 per cent.

It would be tempting to conclude immediately that one area delivered much better medication care than another.

The data do not justify such a simple judgement.

Published indicators carry methodological caveats, including reporting practices, data completeness, technical differences and restrictions on municipal-level publication. A recorded review also says little by itself about whether inappropriate medicines were identified, recommendations were implemented or the person experienced fewer adverse effects.

The indicator still matters. Its value lies in prompting better questions.

Why is the recorded rate different? Is there a real practice gap? Is the difference caused by documentation? Are some residents systematically missed? Does the municipality know? What action followed review?

Strong quality data and performance measurement begin with those questions rather than with league-table thinking.

Nutrition shows why process, outcome and data quality must be connected

Nutrition provides one of the clearest examples of the complexity of municipal quality assurance.

In 2025, 59.9 per cent of people aged 67 and over in long-term institutional care were recorded as having been assessed for risk of undernutrition during the previous year. Among those assessed, 36.9 per cent were identified as being at risk. Of those identified as at risk, 55.4 per cent had a recorded individual nutrition plan.

For older people receiving health services at home, the picture was different. Only 30.7 per cent were recorded as having been assessed for undernutrition risk during the previous 12 months. Of those assessed, 32.0 per cent were recorded as at risk, while 35.3 per cent of the people identified at risk had an individual nutrition plan.

There was also substantial geographic variation. Among home-service recipients, recorded assessment ranged from 70.2 per cent in Oslo to 11.2 per cent in Telemark. In institutions, Oslo recorded 92.3 per cent compared with 42.8 per cent in Møre og Romsdal.

These figures matter because undernutrition is associated with poorer physical and cognitive function, complications, lower treatment tolerance and increased use of healthcare.

But again, the governance response cannot be simply to demand that every figure increases.

The published methodology explicitly warns about under-reporting, incorrect placement of information in records, technical problems with journal systems and differences in data submission. Quality assurance must therefore distinguish at least three possibilities:

• the assessment did not happen;
• the assessment happened but was not documented correctly; or
• the assessment was documented locally but did not reach the national dataset correctly.

All three matter, but they require different improvement responses.

The first is primarily a care-delivery problem. The second is a clinical-recording and governance problem. The third may be a systems and data-quality problem.

Scenario: the low nutrition indicator that does not have one explanation

A medium-sized municipality reviews its Eldrebarometer and national quality-indicator data and sees that recorded nutrition-risk assessment among older people receiving home health services is substantially below the national position.

The immediate reaction could be to set a target requiring staff to complete more screening forms.

Instead, service leaders examine a sample of records and speak with frontline nurses.

They discover three different issues.

Some people genuinely have not been assessed at the recommended intervals. In another group, nurses have discussed weight loss, appetite and dietary risk but recorded the assessment in narrative notes rather than the structured field used for reporting. In a third group, the structured information appears correctly in the local record but is not being transferred reliably into reporting data.

The municipality therefore creates three responses rather than one.

Clinical teams receive support to identify when reassessment is due. Documentation templates are simplified so structured recording becomes part of normal clinical work rather than an additional task. Digital and reporting teams investigate the transmission problem.

Three months later, the municipality does not simply ask whether the headline percentage improved. It samples whether people identified at risk actually received an individual assessment and appropriate intervention.

This is the difference between performance management and genuine quality improvement.

Organisations exploring comparable evidence problems can use the Quality Dashboard Builder to structure measures around activity, risk, outcomes and assurance rather than relying on a single headline KPI.

The Eldrebarometer is making municipal quality more visible

Norway is also developing the Eldrebarometeret, a Directorate of Health platform designed to bring together selected indicators on the quality of health and care services for older people.

The intention is significant.

Municipal leaders need to see their own performance over time. Citizens need understandable information. National bodies need visibility of broader patterns. Municipalities also need to compare themselves with relevant peers without assuming every difference represents failure.

By mid-2026, the Eldrebarometer was being expanded with additional indicators and clearer explanations of the underlying data.

National-level information for 2025 included two particularly useful governance signals. Around 72 per cent of health and care service full-time-equivalent work was undertaken by personnel with health or social-care education. Only 47 per cent of municipalities were recorded as having a system for user surveys in home services during the relevant period.

These measures illustrate the platform’s wider potential.

Quality is not only about adverse events or clinical processes. It is also shaped by competence, continuity, participation and whether municipalities systematically ask people what services are like to receive.

The Directorate has already indicated that future development should strengthen information about user experience, family support, patient safety, waiting, decisions and complaints.

That is important because a mature long-term care assurance system needs to combine professional, operational and lived-experience evidence.

Patient and family experience cannot remain the least developed evidence stream

Long-term care happens in people’s homes and living environments, often over months or years. That gives people receiving services and their families a form of longitudinal evidence that no annual indicator can reproduce.

They know whether staff arrive consistently. They notice when care plans are understood by one worker but ignored by another. They know whether requests for reassessment lead to action. They can describe whether the person feels rushed, respected, listened to or increasingly dependent.

Norwegian law gives patients and users rights to information and participation. Yet meaningful involvement requires more than documenting that somebody was consulted during an initial assessment.

Municipalities need systems for turning experience into organisational intelligence.

That may include individual feedback, formal user surveys, complaints, relatives’ meetings, advisory groups and structured involvement in improvement work. The important governance question is what happens next.

A survey is of limited value if results remain within a report. Complaint numbers can look reassuring if people do not know how to complain. High satisfaction scores can hide the experience of smaller groups with complex communication needs.

This is why service-user feedback and co-production should be connected to operational evidence.

If relatives repeatedly describe frequent staff changes and the rota data show high discontinuity, the two evidence streams reinforce each other. If people report difficulty getting help at weekends and incident data show repeated out-of-hours escalation, that pattern deserves governance attention.

Medical review and dental care reveal different dimensions of quality

National data allow municipalities to examine aspects of care that might otherwise receive little visibility.

In 2025, 73.0 per cent of long-term nursing-home residents were recorded as having been assessed or treated by a doctor during the previous 12 months. County-level results ranged from 88.7 per cent in Oslo to 57.2 per cent in Vestland.

Average physician time in nursing homes stood at approximately 0.7 hours per resident per week nationally, compared with around 0.5 hours a decade earlier.

Yet physician hours alone do not demonstrate clinical quality. A municipality with fewer scheduled hours may have efficient access arrangements and responsive medical cover. Another with more hours could still have weaknesses in continuity or treatment planning.

Dental assessment demonstrates another issue. Only 49.5 per cent of long-term nursing-home residents were recorded as having received assessment or treatment by dental personnel during the previous 12 months in 2025. Again, variation was considerable: 70.1 per cent in Oslo compared with 36.8 per cent in Vestland.

Oral health can affect nutrition, pain, communication, infection risk and quality of life. Yet it can easily sit outside the most visible measures of daily nursing-home performance.

Good quality governance therefore needs sufficient breadth to reveal neglected aspects of care, not merely the areas already receiving management attention.

Quality indicators need interpretation before escalation

A municipality whose indicator differs sharply from peers should neither dismiss the result nor treat it as a verdict.

The first stage is interpretation.

Leaders need to understand the population measured, coding rules, exclusions, local workflow and potential data-quality issues. They should compare national data with local records, complaints, incidents, staffing information and professional observations.

The second stage is explanation.

If the difference is real, why does it exist? Geography may explain some staffing patterns. A change in service model may temporarily affect reporting. A newly merged digital system may create missing data.

The third stage is judgement.

Is the variation compatible with safe and effective care, or does it signal a material quality problem?

The fourth stage is action.

What will change, who owns it and how will improvement be verified?

This analytical sequence prevents two common governance errors: explaining away genuine failure and treating every statistical difference as failure.

It is a central principle of quality monitoring systems: data should trigger enquiry, not replace it.

Scenario: a nursing home with excellent compliance data but recurring falls

A municipal nursing home appears strong on several national process indicators. Medication reviews are recorded consistently. Nutrition screening is completed. Annual medical review is high.

Yet internal incident data show increasing falls during evening hours.

Because national indicators look favourable, the service could interpret the problem as a collection of unrelated resident incidents.

Instead, managers undertake a thematic review.

They find that several residents involved had experienced recent changes in mobility or medication. Evening staffing had also become less consistent because sickness absence was being covered by staff who knew residents less well. In two cases, changes recorded by physiotherapy had not been translated clearly into daily support instructions.

The response therefore extends beyond individual fall assessments.

Staff deployment is reviewed. Handover arrangements are strengthened. Mobility-plan changes are made more visible. Medication-related fall risks are discussed systematically, and incident patterns are reviewed by time, location and resident characteristics.

The case shows why process indicators cannot substitute for local safety intelligence.

A service can complete recommended assessments and still have operational conditions that create harm.

The stronger assurance model connects national indicators with incident learning and continuous improvement.

State supervision tests whether governance works in practice

National and municipal quality information is complemented by external supervision.

The Norwegian Board of Health Supervision, Statens helsetilsyn, has overarching responsibility for supervision in health and care services. County Governors, Statsforvalteren, undertake significant supervisory work within their regions, including investigation of whether municipalities comply with legal requirements.

The distinction from routine performance monitoring is important.

Supervision is not simply benchmarking. It examines legality and whether organisational systems produce compliant practice.

Norway’s 2024–2027 supervisory initiative on services for older people is particularly relevant. During 2025 and 2026, one major focus has been whether municipalities identify deterioration in health and functional status among people over 75 receiving long-term healthcare at home and whether deterioration leads to necessary action.

The methodology can include document review, interviews, examination of patient records and patient experience.

It also examines the relationship between frontline practice and municipal management.

This matters because a service can have written procedures that look adequate while everyday practice remains inconsistent. Equally, a municipality may have competent staff delivering good care even though its governance documentation is unnecessarily complex.

Supervision tests the connection.

Current supervision is shifting attention towards older people living at home

The emphasis on home-based care reflects Norway’s wider policy direction.

As more older people live at home with frailty, multimorbidity and increasing dependency, quality risk moves with them.

Traditional long-term care assurance can be institution-centred because a nursing home is visible: residents, staff and leadership operate within one physical organisation.

Home care is dispersed.

A person may receive short visits from different staff across the week. Deterioration can emerge gradually through reduced appetite, worsening mobility, confusion, breathlessness or changes in personal care. No single episode may appear serious enough to trigger escalation.

The supervisory question is therefore highly operational: does the municipality have a system that enables staff to recognise change, communicate it and ensure necessary action follows?

Recent supervision reports demonstrate that County Governors are examining areas such as competence, documentation, risk assessment, patient involvement, communication and management control.

Importantly, supervision does not inevitably find legal breaches. Some municipalities have been assessed without violations being identified. That prevents the national initiative from being portrayed simply as evidence of widespread failure.

Its wider value is preventive: it establishes which organisational capabilities municipalities should be able to demonstrate before deterioration becomes serious harm.

Scenario: repeated minor changes reveal a governance gap

An 87-year-old man receives municipal home nursing twice each day. Over ten days, different staff record small changes: he is leaving meals unfinished, needing more help to stand and appearing unusually tired.

No individual visit produces an emergency concern.

The problem is that the observations remain separate.

During a routine review, an experienced nurse notices the cumulative pattern and arranges assessment. The man is found to have an infection and significant dehydration.

He recovers, but municipal leaders treat the case as a system issue rather than congratulating the nurse who eventually identified the deterioration.

They ask why the pattern depended on one person noticing it manually.

Review finds that staff document observations consistently but have no reliable trigger for repeated functional decline across visits. Temporary staff are also unclear about escalation thresholds.

The municipality introduces a structured process for deterioration, including clearer baseline information, agreed escalation routes and review of repeated changes during daily coordination.

Governance then tracks whether escalation occurs earlier in similar cases.

The quality improvement lies not in eliminating professional judgement but in giving that judgement a stronger system around it.

Management systems are part of the legal quality architecture

Norwegian health and care law places systematic management and improvement inside the definition of responsible service provision.

The Regulation on Management and Quality Improvement in the Health and Care Services requires organisations to plan, implement, evaluate and correct their activities.

This creates a cycle rather than a static compliance requirement.

Municipal leaders need sufficient understanding of their services to identify risk, organise responsibilities, ensure competence, use experience and adverse events, evaluate whether arrangements work and correct deficiencies.

For long-term care, this means governance should connect information that often sits in separate systems:

• quality indicators and Eldrebarometer data;
• staffing, competence, vacancies and continuity;
• incidents, falls, medication events and safeguarding concerns;
• complaints and patient or family experience;
• audit and record-review findings;
• service demand, waiting and capacity information; and
• external supervision and legal complaints.

No single dataset provides the answer.

The governance task is to identify where the datasets point in the same direction.

Organisations examining comparable oversight can use the Governance Maturity Assessment as a practical framework for testing whether risks, evidence, accountability and corrective action connect. It is not a Norwegian regulatory instrument and does not replace municipal legal duties.

Workforce data are quality data

Many long-term care quality problems are discussed as clinical or procedural issues even when the underlying cause is workforce instability.

Continuity matters particularly in home-based services.

A worker who knows an older person may notice that walking speed has changed, conversation has become less fluent or the refrigerator contains less food. A succession of unfamiliar workers can each complete the scheduled task competently while missing the trajectory.

Competence also matters.

The Eldrebarometer’s national figure showing that approximately 72 per cent of health and care service full-time-equivalent work in 2025 was performed by people with health or social-care education provides useful context, but it is still only a broad structural measure.

Municipalities need to understand skill mix by service, shift and risk.

A nursing home may have sufficient total staffing but insufficient registered-nurse capacity at particular times. A rural home-care service may employ competent workers but lose continuity through travel-intensive scheduling. High sickness absence may force frequent redeployment even where funded posts are theoretically filled.

This is why workforce assurance belongs within quality governance rather than in a separate human-resources conversation.

The useful question is not simply how many people are employed. It is whether the workforce available at the point of care has the competence, familiarity, supervision and time needed to deliver the service safely.

Private provision does not remove municipal accountability

Norwegian municipalities can use private organisations to deliver some health and care services on their behalf.

That changes the delivery arrangement but does not remove the municipality’s responsibility to ensure that residents receive necessary and professionally sound services.

Quality governance therefore needs to extend across organisational boundaries.

A municipality should understand not only whether a contract exists but whether outsourced services are producing the required quality in practice. Relevant evidence may include staffing, continuity, incidents, complaints, documentation, care-plan implementation and outcomes.

The private provider has its own responsibilities as a health and care organisation and employer. Municipal oversight should not become operational micromanagement.

But nor can the municipality treat the provider as a black box.

If repeated problems emerge, the municipality needs sufficient evidence to determine whether the issue involves one professional, provider systems, contractual design, insufficient municipal specification or the wider service pathway.

The governing principle remains the same whether care is directly delivered or externally provided: responsibility should be traceable to the organisation capable of changing the underlying cause.

Data quality is becoming a strategic care issue

As Norway develops stronger digital health infrastructure, the quality of municipal data becomes increasingly important.

National dashboards depend on information produced through frontline records and reporting systems. Poorly structured documentation can therefore create two simultaneous problems.

First, clinicians may not see the information they need.

Second, leaders may receive a distorted picture of whether recommended care happened.

Municipal quality governance should consequently examine the whole information chain: observation, professional judgement, recording, structured data, transmission, national reporting and interpretation.

This is more complex than telling staff to document more.

Additional documentation can consume scarce clinical time without improving either care or assurance. The objective is information that serves both purposes wherever possible.

For example, structured recording of nutrition screening should help the nurse identify risk and trigger action while also producing usable management and national data. If the same information has to be entered repeatedly into disconnected systems, the design itself creates avoidable workload and error.

Organisations considering these dependencies can use the Digital Transformation Readiness Assessment to examine whether digital strategy, workflow, skills and governance support reliable care information.

The wider lesson is that digital maturity and quality maturity are increasingly interdependent.

Scenario: a high-performing municipality discovers that its dashboard is wrong

A municipality appears to perform extremely well on a particular nursing-home quality measure. Its result is significantly higher than surrounding municipalities and has remained stable for two years.

Rather than assuming success, leaders include the measure in routine assurance sampling.

A review of individual records finds that staff practice is generally good but that an interface change introduced during an electronic-record upgrade has caused some historical assessments to be counted in a way that inflates the current reporting result.

The municipality reports the data issue through the appropriate technical route and corrects its local governance interpretation.

No serious care failure is identified.

But the exercise produces an important lesson: apparently good performance requires validation as much as apparently poor performance.

The municipality then applies the same logic to other indicators.

Its quality meetings stop dividing metrics into “green means fine” and “red means investigate”. Instead, high-risk measures are periodically tested against records and lived experience regardless of colour.

That is a stronger form of assurance because it recognises that dashboards summarise reality rather than constitute it.

Complaints and supervision should feed improvement, not sit beside it

Norwegian residents can complain about municipal health and care decisions and services, and County Governors play an important role in handling relevant rights complaints and supervisory matters.

For municipal governance, a complaint is more than an individual case to close.

Repeated complaints can reveal patterns that formal indicators miss.

Families may repeatedly describe delayed reassessment. Several people may challenge inadequate information after changes to services. Complaints may cluster around one geographical home-care team or one transition pathway.

The same principle applies to supervision findings.

A municipality that responds only to the exact cases or documentation requested by the County Governor may achieve technical closure without achieving organisational learning.

The stronger response asks whether the underlying issue exists elsewhere.

If a supervision review finds weak escalation of deterioration in one home-care zone, leaders should consider whether identical workflow exists across the municipality. If the cause is workforce instability or fragmented documentation, the corrective action may need to extend well beyond the inspected team.

This is where continuous improvement becomes different from remedial compliance.

Variation should be governed through risk, not eliminated through uniformity

Norway will continue to have differences between municipalities.

Some will operate larger specialist teams. Others will use generalist staff supported by regional collaboration. Rural municipalities may organise night services differently from cities. Housing stock, transport and access to hospitals will influence what care at home looks like.

The objective should not be organisational sameness.

It should be confidence that every local model can answer a common set of questions:

• How does the municipality know which older people are at greatest risk?
• How does it know whether agreed care is actually delivered?
• How are deterioration, incidents and poor experience escalated?
• How does leadership distinguish isolated events from recurring patterns?
• How are workforce and capacity risks connected to quality information?
• What happens when national indicators differ materially from peers?
• How does the municipality verify that improvement action changed practice?

Those questions leave room for local design while strengthening national expectations of accountability.

Good care must be demonstrated at person, service and system level

Long-term care quality becomes distorted if evidence exists at only one level.

At person level, the municipality needs to know whether care matches assessed need, supports autonomy and responds when circumstances change.

At service level, leaders need to understand continuity, staffing, incidents, demand, clinical processes and user experience.

At system level, municipalities and national bodies need to understand geographic variation, sustainability and whether some population groups experience systematically different access or outcomes.

The three levels should reinforce each other.

For example, a national indicator may show low nutrition screening. Local records may identify a documentation weakness. Discussions with older people may then reveal that meal preparation itself is becoming unreliable because visits are increasingly compressed.

The final improvement response is therefore much richer than “complete more screenings”.

This represents the difference between quality assurance and governance and simple compliance monitoring.

The future of accountability will require better outcomes as well as better data

Norway’s quality infrastructure is continuing to develop.

The Eldrebarometer is expanding. Additional national indicators are being introduced and refined. Data from municipal services are becoming more visible. The current supervision programme is generating new evidence about how services for older people operate in practice.

These developments create a stronger foundation for accountability, but the next stage should not become an ever-larger collection of process measures.

The strategic opportunity is to connect processes to outcomes that matter.

Did medication review reduce inappropriate prescribing or adverse effects? Did nutrition assessment result in improved weight, function or wellbeing where appropriate? Did recognition of deterioration prevent avoidable loss of independence? Did greater workforce continuity improve people’s experience? Did corrective action after supervision remain effective six months later?

Those are harder questions because outcomes are affected by age, disease, frailty, social circumstances and personal choice.

They are nevertheless necessary.

Long-term care is not successful merely because every required process is recorded. It is successful when those processes contribute to safe, dignified and meaningful lives.

International learning: decentralisation requires stronger evidence, not weaker accountability

Norway’s system offers a useful lesson for countries balancing national expectations with substantial local autonomy.

Decentralised systems can adapt services to geography, population and local capacity. They may also support innovation because every service does not require central approval before changing its operating model.

But decentralisation creates an evidence requirement.

If municipalities are legitimately different, national government cannot judge quality simply by organisational conformity. It needs outcome, process, experience and risk information strong enough to distinguish healthy variation from inequity or unsafe practice.

Norway’s experience also shows that national indicators need humility. Data quality can be imperfect. Small populations complicate comparison. Clinical context matters. Public dashboards can illuminate variation without explaining it.

Other countries could adapt the principle without replicating Norway’s municipal structure: local autonomy works best when accompanied by transparent expectations, credible data, external supervision, patient voice and a clear obligation to improve.

The transferable lesson is not that every local difference should disappear. It is that every material difference should be capable of being understood.

Conclusion

Quality accountability in Norwegian long-term care rests on a deliberate tension. Municipalities need enough freedom to design services around local geography, population and workforce realities, yet older people should not experience fundamentally different standards of safety or dignity because they happen to live in another municipality.

Norway is building a progressively richer assurance environment through national quality indicators, the Eldrebarometer, municipal reporting, patient and family involvement, legal rights, professional standards and supervision by the County Governors and Statens helsetilsyn. The 2024–2027 supervisory focus on services for older people adds particular urgency as more complex care moves into people’s homes.

The central challenge is interpretation. Indicators can expose variation but do not explain it. Documentation can demonstrate activity without proving outcomes. High performance can be distorted by data problems just as low performance can. Complaints, incidents, workforce information and lived experience therefore need to sit alongside national metrics.

The strongest municipal governance model is one that can move from signal to enquiry, from enquiry to action and from action to verified improvement. That is how decentralisation retains legitimacy.

As Norway’s older population grows, demonstrating good care will increasingly mean showing not only what services were provided, but whether local systems consistently recognised risk, responded to change, learned from experience and protected the everyday quality of life of the people they exist to support.