Integration of Patient-Reported Outcome Measures (PROMs) into Health Systems: Challenges and Policy Implications ^†

Abstract

Patient-reported outcome measures (PROMs) have become increasingly important in patient-centred healthcare and health-system performance assessment. However, their implementation at system level remains fragmented and methodologically challenging. This paper examines the role of PROMs in contemporary health systems, with particular attention to issues of standardisation, integration into clinical workflows, data interpretation, and patient engagement. Drawing on the recent literature, it proposes a conceptual multi-level integration model linking national governance, provider-level implementation, and structured feedback mechanisms. The paper highlights the potential of PROMs to support quality improvement, outcome-based evaluation, and more responsive health policy development.

1. Introduction

Health systems are increasingly being reoriented toward patient-centred care, with greater attention to whether services improve outcomes that are meaningful to patients. In parallel, outcome measurement has become a central feature of efforts to assess quality, accountability, and value in health care and public health. Within this shift, patient-reported outcome measures (PROMs) have gained importance because they provide direct information on health status, functional impact, and wellbeing from the patient perspective, complementing clinician-reported and administrative indicators. As health systems face rising pressure to demonstrate effectiveness and responsiveness, PROMs offer a pathway for linking service delivery to outcomes that matter beyond clinical endpoints.

Despite this potential, PROMs remain underutilised at the system level and are often implemented inconsistently across settings. Their use is frequently fragmented, with limited standardisation in measurement, reporting, and interpretation, which constrains comparability and reduces their policy relevance. In many contexts, PROMs are collected in isolated projects or local quality initiatives rather than embedded in routine governance, planning, and performance monitoring. This gap matters because without coherent integration, the value of PROMs for informing system-level decision-making and supporting coordinated improvement remains restricted.

The relevance of PROMs lies in their ability to strengthen quality improvement by making patient outcomes more visible and actionable. When integrated effectively, they may support better alignment between care processes and patient needs, improve system performance monitoring, and contribute to more equitable assessment of services across populations. For public health, PROMs also extend the measurement focus beyond the clinical encounter by capturing outcomes relevant to population health, service evaluation, and the distribution of health gains across groups. Accordingly, the objective of this paper is to analyse the challenges associated with PROMs integration and to propose a model for their systematic incorporation into health systems. The paper first outlines the conceptual background, then examines the role of PROMs in health systems, identifies implementation challenges, presents the proposed integration model, and concludes with implications for health systems and public health.

2. Methods

2.1. Literature Search Strategy

This paper employed a narrative literature review approach to examine the integration of patient-reported outcome measures (PROMs) into health systems and to identify key implementation challenges and policy implications. The literature search was conducted primarily using the PubMed database, supplemented by targeted searches in Web of Science to identify additional relevant publications.

Search terms included combinations of the following keywords: “Patient-Reported Outcome Measures”, “PROMs”, “health systems”, “health system performance”, “value-based healthcare”, “patient-centred care”, “implementation”, “integration”, “quality improvement”, “health policy”, and “patient-reported outcomes”. Boolean operators (“AND”, “OR”) were used where appropriate to refine search results.

2.2. Eligibility Criteria

Publications were considered eligible when they addressed the implementation, integration, governance, standardisation, interoperability, or policy applications of PROMs at organisational, regional, national, or international health-system levels. Only peer-reviewed articles published in English were included in the review.

Studies focusing exclusively on psychometric validation of individual PROM instruments or on narrowly defined clinical interventions without broader health-system relevance were excluded.

2.3. Literature Selection and Synthesis

Priority was given to recent publications, particularly those from 2018 to 2025, reflecting contemporary developments in PROM implementation and value-based healthcare. Additional relevant literature was identified through reference screening of key publications.

The selected literature was synthesised narratively and organised into four thematic areas: (1) conceptual foundations of PROMs, (2) the role of PROMs in health-system performance assessment, (3) implementation challenges and barriers, and (4) policy implications and integration strategies. Findings from these thematic domains informed the development of the proposed multi-level PROMs integration model.

The proposed model was developed through thematic synthesis of recurring implementation domains identified across the reviewed literature.

3. Conceptual Background

3.1. Definition of PROMs

Patient-reported outcome measures (PROMs) are standardized, validated instruments that capture a patient’s own assessment of health status, quality of life, and functional outcomes without clinician interpretation [1,2]. By soliciting direct reports of symptoms, physical functioning, emotional well-being, and social participation, PROMs provide a patient-centred perspective on the effectiveness of care and the burden of disease [3]. Their core purpose is to translate subjective health experiences into quantifiable data that can be aggregated, benchmarked, and used for decision-making across clinical and policy contexts [3].

3.2. Types of PROMs

PROMs can be either generic or condition-specific [2]. Generic PROMs are designed to apply to a broad range of patients, conditions, and treatments, capturing aspects of health and well-being applicable to everyone; examples include the SF-12, SF-36, and PROMIS global health measure [2]. Condition-specific PROMs apply to particular patient groups relative to their health condition or procedure, such as the Oxford Knee Score and Oxford Hip Score [2]. In practice, a combination of generic and disease-specific measures is considered feasible and complementary, since generic measures facilitate comparison but are less able to detect variation [2,3].

3.3. PROMs vs. PREMs

Patient-reported experience measures (PREMs) capture patients’ perceptions of the care process (e.g., communication, coordination, respect), whereas PROMs assess health outcomes themselves [1,2]. This distinction matters because PREMs inform service-delivery quality and patient-centredness, while PROMs provide evidence of clinical effectiveness and value for money [2]. Integrating both data streams enables a more comprehensive evaluation of health-system performance, aligning experience with outcomes [2].

3.4. The Role of PROMs at Different Levels of the Health System

The integration of PROMs operates at three hierarchical levels. At the micro level, PROMs serve as screening and monitoring tools that support shared decision-making, symptom management, and personalised care pathways during individual clinical encounters [4]. At the meso level, aggregated PROM data enable health-care providers, hospitals, and professional organisations to benchmark performance, identify variation, and implement quality-improvement cycles such as plan–do–study–act or dashboard feedback [2]. At the macro level, PROMs contribute to national surveillance, health-technology assessment, and policy development by providing population-based evidence of treatment impact, informing value-based health-care initiatives, and guiding resource allocation decisions [5,6].

3.5. PROMs in Health-System Evaluation

Within value-based health care, PROMs are key outcome measures alongside cost and are increasingly used in dashboards, registries, and public reporting to assess performance and accountability [2,7]. They also fit quality-improvement frameworks and support the shift toward outcome-based payment models [2]. At scale, aggregated PROMs can inform service redesign, prioritisation, and health-technology decisions [2,5].

3.6. Literature Context

Evidence suggests that routine PROM collection can strengthen clinician–patient communication, support shared decision-making, and be associated with improved outcomes when paired with feedback mechanisms [8]. Large-scale implementations show that PROMs are feasible for benchmarking and performance monitoring, but their effect on clinical outcomes is often limited and depends on implementation context [2,3]. Common barriers include limited staff training, workload pressure, weak EHR integration, resource constraints, and concerns about data representativeness and case-mix adjustment, where facilitators include early stakeholder engagement, workflow alignment, and clear feedback on results [3,9]. Overall, the literature indicates that PROMs add the most value when they are embedded in routine systems and linked to actionable quality-improvement processes across micro, meso, and macro levels [2,3].

4. PROMs in Health Systems

4.1. Importance for Health-System Performance

The evaluation of health-system performance has historically been anchored in process-oriented indicators such as service utilisation, adherence to clinical pathways, and resource inputs. While these measures capture the efficiency of service delivery, they do not reveal whether the care provided translates into meaningful health improvements for the people who use it. The emergence of patient-reported outcome measures (PROMs) has catalysed a paradigm shift from a process-centric to an outcome-centric perspective, positioning patients’ own assessments of symptoms, functional status, and health-related quality of life at the core of performance monitoring [2]. This shift aligns with the broader movement toward patient-centred care, in which health-system accountability is increasingly defined by the extent to which services enable individuals to achieve health states that matter to them. By integrating PROMs into routine data collection, health organisations can generate longitudinal evidence of clinical effectiveness, identify gaps in symptom management, and target quality-improvement initiatives where they are most needed. Moreover, aggregated PROM data provide a common metric for benchmarking across facilities, regions, and nations, thereby fostering transparent comparisons that can stimulate system-wide learning and policy refinement [2,10]. In this way, PROMs serve not only as clinical feedback tools but also as strategic assets for health-system governance and continuous improvement.

4.2. Role in Value-Based Healthcare

Value-based healthcare (VBHC) conceptualizes value as the health outcomes achieved per unit of expenditure, thereby linking clinical effectiveness directly to financial sustainability [3]. Within this framework, PROMs function as indispensable outcome indicators because they capture dimensions of health that conventional utilization or mortality statistics overlook, such as pain relief, functional independence, and psychosocial well-being [6]. When PROM scores are systematically linked to cost data, they enable the calculation of “outcome-adjusted” spending, allowing policymakers and payers to identify high-value providers and to design reimbursement mechanisms that reward improvements in patient-perceived health rather than volume of services [2]. The integration of PROMs into VBHC initiatives also supports the development of performance dashboards that illustrate the trade-offs between cost drivers and patient benefit, thereby informing resource allocation decisions at the macro level [3]. In practice, health systems that have embedded PROMs in bundled-payment contracts or performance-based incentives have reported associations with greater adoption of evidence-based care pathways and lower rates of avoidable hospitalisations, although these relationships may be influenced by broader implementation and organisational factors [11].

4.3. International Examples

4.3.1. United Kingdom (NHS)

The National Health Service (NHS) in England pioneered a nationwide PROMs programme in 2009, initially targeting four elective surgical pathways: hip and knee replacement, varicose veins, and groin hernia repair [2,10]. The programme mandates pre-operative assessment and post-operative follow-up using the EQ-5D-3L instrument, with data collected at a minimum of three months after surgery. By centralizing patient-reported scores in a publicly accessible repository, the NHS has created a benchmark-ready dataset that supports provider comparison on both absolute health gain and domain-specific problem resolution [10]. The availability of these data has informed national quality-improvement programmes, guided the refinement of surgical pathways, and underpinned the National Tariff Payment System, which adjusts reimbursement based on demonstrated PROM improvements [2]. Importantly, the NHS experience illustrates how a compulsory, standardized PROM collection can generate high-quality evidence for performance monitoring while potentially supporting changes in clinical practice through transparent reporting.

4.3.2. Canada

In Canada, the integration of PROMs into health-system evaluation has been coordinated through national initiatives led by the Canadian Institute for Health Information (CIHI) and the Canadian Partnership Against Cancer. Since 2017, the Edmonton Symptom Assessment System-revised (ESAS-r) has been adopted in eight of ten provinces for routine cancer symptom screening, achieving screening rates that exceed 80% of eligible patients [12]. Unlike the NHS model, Canadian implementation is provincially driven, resulting in heterogeneous data-capture modalities (paper-based, electronic portals, and hybrid approaches) and variable timing of assessments across jurisdictions [12]. CIHI aggregates provincial submissions into a national reporting framework that visualises symptom prevalence, severity trends, and treatment-related distress, thereby providing policymakers with real-world evidence for service planning and resource allocation [12]. Although the lack of a unified protocol limits direct cross-province benchmarking, the Canadian experience demonstrates how PROMs can be embedded within disease-specific surveillance systems to inform both clinical decision-making and system-level performance monitoring. Recent efforts to harmonise data standards and to align PROM reporting with broader health-system accountability metrics suggest a trajectory toward a more cohesive national PROMs infrastructure [12].

4.3.3. OECD PaRIS

The Organisation for Economic Co-operation and Development (OECD) has advanced the Patient-Reported Indicator Surveys (PaRIS) as a voluntary, internationally standardised framework for collecting PROMs and patient-reported experience measures (PREMs) among individuals with chronic conditions [13]. PaRIS provides a common set of instruments, timing conventions, and reporting templates that enable participating countries to generate comparable datasets for cross-national benchmarking [2,13]. Early implementation pilots have shown that the harmonised approach facilitates the identification of system-level strengths—such as high patient engagement in primary care—and weaknesses, including gaps in chronic-disease management [13]. By aligning national data collection with OECD standards, health systems can situate their performance within a global context, supporting evidence-based policy dialogues and the diffusion of best practices across borders.

Collectively, these examples illustrate that the systematic incorporation of PROMs into health-system information flows can transform performance measurement from a narrow focus on service delivery to a comprehensive appraisal of patient-centred outcomes. The NHS demonstrates the power of mandatory, uniform PROM collection for national benchmarking and payment reform, whereas Canada showcases how disease-focused PROMs can generate actionable insights despite decentralized implementation. The OECD PaRIS initiative further highlights the potential for international harmonisation, enabling health systems to learn from one another and to adopt best-in-class practices. As health-systems worldwide strive toward value-based, accountable care, the strategic use of PROMs will be essential for aligning clinical quality, patient experience, and financial sustainability.

5. Challenges and Integration Model

5.1. Key Challenges in PROMs Implementation

5.1.1. Data Standardisation

PROM standardisation remains difficult because instruments differ in wording, scaling, and recall periods, which weakens comparability across settings and limits benchmarking. In cross-country analysis, even EQ-5D-3L produced non-comparable estimates because of differences in sampling design and variable coding [10]. Similar problems arise when case-mix adjustment is inconsistent, making provider and country comparisons less reliable [10]. Harmonisation therefore requires agreement on a core set of validated instruments, shared administration protocols, and common data-coding conventions [10].

5.1.2. Integration into Clinical Workflows

Embedding PROMs into routine care adds workload and can disrupt clinical flow when roles and follow-up processes are unclear. In the UK prostate-cancer pilot, staff reported longer appointments and increased clinical workload [9]. Limited training and high staff turnover further slowed uptake, while uncertainty over responsibility for missing or abnormal scores reinforced workflow disruption [9]. These findings suggest PROMs should be embedded into existing pathways rather than added as a parallel task.

5.1.3. Interpretation and Use of PROM Data

The translation of PROM scores into clinical action is limited by unresolved questions of validity, reliability, and risk adjustment. Traditional psychometric criteria can miss clinical usefulness, whereas clinimetric approaches place greater emphasis on sensitivity to change and decision value [14]. Cross-country comparisons are also distorted by case-mix differences, including healthy participant bias and inconsistent comorbidity measurement, which weaken comparability and require stronger adjustment methods [10]. In routine care, the absence of clear thresholds and complete longitudinal data further reduces actionability, particularly when patient non-compliance interrupts follow-up [9].

5.1.4. Technical Infrastructure and Interoperability

Electronic health record integration remains a major barrier to PROM implementation. Interoperability gaps create data loss and “noise,” and standards such as FHIR, SNOMED CT, and LOINC are needed to support exchange between PROM platforms and EHRs [15]. In the UK case study, mismatch between REDCap and EPIC delayed integration and reduced capture quality, while weaker digital capacity across sites limited tablet-based collection and automated feedback [9].

5.1.5. Patient Engagement and Response Bias

Patient-level barriers weaken the representativeness of PROM data through incomplete responses and selection bias. In the Guy’s Cancer Centre pilot, completion reached only 59%, and non-response was concentrated among socioeconomically disadvantaged and digitally excluded patients [9]. Many respondents also lacked clear support, with 70% unsure whom to contact for assistance [9]. More broadly, limited patient understanding and reliance on electronic reporting continue to depress completion and skew samples [16].

5.1.6. Financial Sustainability and Resource Requirements

The financial sustainability of PROMs at the health-system level remains a significant and insufficiently addressed challenge. Direct costs are substantial: the English national PROMs programme alone costs approximately £825,000 annually for data collection across roughly 250,000 patients, a figure that excludes capital expenditure, clinical time, and data management overhead [1]. Beyond data collection, health systems face recurring expenditure on software licensing, IT infrastructure, and interoperability systems required to integrate PROM platforms with electronic health records, a barrier repeatedly identified across implementation studies [2,9,11]. Personnel costs constitute an additional burden: staff training in PROM administration, data interpretation, and clinical workflow integration are consistently reported as prerequisites for sustainable use, yet access to continuing professional development in this area remains limited [2,9,11]. Workforce demands are further compounded by the need for dedicated administrative roles to manage data collection, reduce clinician burden, and ensure follow-up compliance, with evidence suggesting that dedicated personnel may be required to support PROM implementation and data management at scale [9]. Funding mechanisms, including pay-for-performance models such as the US Hospital Value-Based Purchasing Programme, offer potential sustainability pathways but may create a risk of short-term improvement cycles, as evidence indicates providers may cease improvement once incentive thresholds are reached [1,2]. Critically, long-term governance frameworks, executive-level institutional support, and embedding PROM implementation within national policy and accreditation standards have been identified as essential enablers for moving beyond pilot-phase adoption toward system-wide sustainability [2,4]. Without integrated financial planning that accounts for both upfront capital investment and recurring operational costs, PROM programmes risk remaining confined to pilot settings, limiting their potential contribution to quality improvement, health-system evaluation, and population-level outcome monitoring.

5.2. Integrated Multi-Level PROM Implementation Model

While the previous literature has described the role of PROMs across micro-, meso-, and macro-levels of healthcare systems, existing frameworks often focus primarily on the functions of PROMs within individual levels. The model proposed in this paper does not seek to replace these established conceptual structures. Rather, it synthesises existing evidence into an integrated implementation framework that emphasises coordination across levels, interoperability of data systems, and continuous feedback mechanisms linking clinical practice, organisational quality improvement, and health-system governance. To address the interrelated challenges identified above, the proposed model aligns macro-level policy, meso-level organisational practice, and micro-level clinical interaction within an iterative structure that allows feedback from each layer to inform refinements at the others.

5.2.1. National Level Standardisation of PROMs Instruments

At the national level, PROMs should be standardised through a core set of validated instruments, uniform administration schedules, and a coordinated data infrastructure. A national repository with shared coding standards would improve interoperability and support comparable analyses, while standardising sampling, variables, and analytic methods is essential for credible benchmarking. National governance structures should also establish sustainable financing mechanisms to support long-term PROM implementation, maintenance of digital infrastructure, workforce training, and data management activities. Province-wide harmonisation of ESAS-r implementation also demonstrates how national coordination can reduce variation in screening practice and support more consistent implementation across healthcare settings [12].

5.2.2. Regional/Provider Level Hospital and Provider Implementation

At the regional and provider level, PROMs should be embedded into existing workflows with clear responsibility for review and follow-up. Dedicated staff and in-room digital devices can reduce clinician burden and support patients with lower digital literacy. Continuous staff training and workflow adaptation are also needed to make PROMs part of routine organisational practice rather than an added task. To reduce response bias and promote equitable participation, implementation strategies should include alternative modes of data collection, such as paper-based questionnaires, assisted completion, and multilingual instruments where appropriate. Monitoring response rates across demographic and socioeconomic groups may also help identify disparities in participation and support targeted interventions to improve representativeness.

5.2.3. Feedback and Data Use

At the micro level, PROMs should support point-of-care decisions through real-time feedback and clear action thresholds. In the UK pilot, the lack of clinically meaningful thresholds limited actionability, making threshold development essential for effective use [9]. Aggregated PROM data can also support benchmarking and quality improvement, while patient-facing summaries may strengthen engagement and reduce response bias. Meaningful patient involvement should also extend beyond data collection. Patient representatives and patient organisations can contribute to the selection of PROM instruments, the development of clinically meaningful thresholds, and the interpretation of aggregated findings. Their participation may help ensure that measured outcomes reflect patient priorities and that resulting quality-improvement initiatives remain aligned with patient needs and experiences. Incorporating patient perspectives into governance and decision-making processes can therefore strengthen the legitimacy and relevance of PROM-based evaluation systems.

Interpretation of PROM data should also recognise that different outcome domains may produce conflicting findings. For example, improvements in overall quality of life may occur alongside worsening symptom burden, or vice versa. Such results should not be interpreted in isolation but considered within their broader clinical and organisational context. Decision-making should therefore rely on the combined assessment of multiple PROM domains, complementary clinical indicators, and stakeholder perspectives, rather than assuming a single measure can fully capture patient outcomes or service performance.

Collectively, this hierarchical model integrates standardisation, workflow adaptation, and feedback mechanisms to surmount the methodological, technical, and human barriers that currently impede PROMs adoption. By aligning national policy with provider-level operational support and by ensuring that data are both interoperable and actionable, health systems can harness PROMs to generate patient-centred insights that inform clinical practice, resource allocation, and health-system benchmarking.

6. Implications and Conclusion

6.1. Implications for Health Systems and Public Health

The integration of PROMs into health systems shifts performance assessment toward outcomes that matter to patients and strengthens outcome-based measurement beyond activity-focused reporting. It may support data-driven decision-making and system efficiency by informing planning, resource allocation, and quality improvement.

For public health, PROMs provide a population-level view of outcomes that traditional indicators may miss, including lived experience, functioning, and disparities across groups. They also extend beyond clinical care by supporting assessment in prevention, rehabilitation, and community-based services, thereby better aligning health service delivery with population health goals.

Policy and governance are essential for consistent PROM implementation. National standardisation and institutional coordination can improve comparability, reduce fragmentation, and support PROM use in system management and public health surveillance.

Particular attention should be given to ensuring equitable participation in PROM programmes, as unequal response patterns may introduce bias and limit the usefulness of PROM data for health-system evaluation.

Although the examples discussed in this paper are drawn primarily from high-income settings, the proposed integration model may also be adapted for low- and middle-income countries. In resource-constrained environments, implementation may require a phased approach, beginning with a limited set of validated PROM instruments and utilising existing health information systems where possible. Alternative collection methods, including paper-based administration, may remain necessary where digital infrastructure is limited. While the pace and scale of implementation may differ, the underlying principles of standardisation, stakeholder engagement, feedback mechanisms, and coordinated governance remain applicable across diverse health-system contexts.

6.2. Conclusions

This paper aimed to examine the integration of patient-reported outcome measures (PROMs) into health systems and to clarify their role within a public health-oriented framework. The analysis shows that PROMs are not simply supplementary clinical indicators, but system-level instruments with the potential to strengthen accountability, inform policy, and improve the alignment between care delivery and outcomes that matter to patients. Their value lies in making health system performance more visible from the patient perspective, thereby supporting quality improvement and more responsive decision-making.

At the same time, the paper identified key challenges that must be addressed for PROMs to achieve sustained impact, including implementation consistency, data comparability, governance, and institutional coordination. These challenges underscore the need for a structured integration model that links measurement, interpretation, and use across clinical, organizational, and policy levels. Such a model provides a practical basis for embedding PROMs within routine system functions rather than treating them as isolated measurement exercises.

Overall, PROMs should be understood as strategic tools for improving healthcare quality, system efficiency, and policy relevance. Their effective use depends on coordinated implementation and a clear commitment to standardisation and long-term institutional support. Future work should therefore focus on implementation pathways that can support scalable adoption, durable governance, and stronger integration into health system and public health practice.