Health system performance assessment: embedding resilience through performance intelligence.

Health systems around the world are facing challenges in achieving their goals. In the wake of the coronavirus disease pandemic, the need for resilient health systems has become even more apparent. This article argues that embedding resilience into health system performance assessment (HSPA) frameworks can be a valuable approach for improving health system performance. This perspective examines key challenges threatening health systems and makes a case for the continued relevance of HSPA by embedding resilience-related performance intelligence.

What can we learn from general practitioners who left Spain? A mixed methods international study.

BACKGROUND: International mobility of health workforce affects the performance of health systems and has major relevance in human resources for health policy and planning. To date, there has been little research exploring the reasons why general practitioners (GPs) migrate. This mixed methods study aimed to investigate the reasons why Spain-trained GPs migrate and develop GP retention and recruitment health policy recommendations relevant to Spanish primary care. METHODS: The study followed an explanatory sequential mixed methods study design combining surveys with semi-structured interviews and focus groups with GPs who qualified in Spain and were living overseas at the time of the study. The survey data examined the reasons why GPs left Spain and their intention to return and were analysed using quantitative methods. The transcripts from interviews and focus groups centred on GPs' insights to enhance retention and recruitment in Spain and were analysed thematically. RESULTS: The survey had 158 respondents with an estimated 25.4% response rate. Insufficient salary (75.3%), job insecurity and temporality (67.7%), excessive workload (67.7%), poor primary care governance (55.7%), lack of flexibility in the workplace (43.7%) and personal circumstances (43.7%) were the main reasons for leaving Spain. Almost half of the respondents (48.7%) would consider returning to Spanish general practice if their working conditions improved. Interviews and focus groups with respondents (n = 24) pointed towards the need to improve the quality of employment contracts, working conditions, opportunities for professional development, and governance in primary care for effective retention and recruitment. CONCLUSION: Efforts to improve GP retention and recruitment in Spain should focus on salary, job security, flexibility, protected workload, professional development, and governance. We draw ten GP retention and recruitment recommendations expected to inform urgent policy action to tackle existing and predicted GP shortages in Spanish primary care.

Acute care pathway assessed through performance indicators during the COVID-19 pandemic in OECD countries (2020-2021): a scoping review.

BACKGROUND: The COVID-19 pandemic severely impacted care for non-COVID patients. Performance indicators to monitor acute care, timely reported and internationally accepted, lacked during the pandemic in OECD countries. This study aims to summarize the performance indicators available in the literature to monitor changes in the quality of acute care in OECD countries during the first year and a half of the pandemic (2020-July 2021) and to assess their trends. METHODS: Scoping review. Search in Embase and MEDLINE (07-07-2022). Acute care performance indicators and indicators related to acute general surgery were collected and collated following a care pathway approach. Indicators assessing identical clinical measures were grouped under a common indicator title. The trends from each group of indicators were collated (increase/decrease/stable). RESULTS: A total of 152 studies were included. 2354 indicators regarding general acute care and 301 indicators related to acute general surgery were included. Indicators focusing on pre-hospital services reported a decreasing trend in the volume of patients: from 225 indicators, 110 (49%) reported a decrease. An increasing trend in pre-hospital treatment times was reported by most of the indicators (n = 41;70%) and a decreasing trend in survival rates of out-of-hospital cardiac arrest (n = 61;75%). Concerning care provided in the emergency department, most of the indicators (n = 752;71%) showed a decreasing trend in admissions across all levels of urgency. Concerning the mortality rate after admission, most of the indicators (n = 23;53%) reported an increasing trend. The subset of indicators assessing acute general surgery showed a decreasing trend in the volume of patients (n = 50;49%), stability in clinical severity at admission (n = 36;53%), and in the volume of surgeries (n = 14;47%). Most of the indicators (n = 28;65%) reported no change in treatment approach and stable mortality rate (n = 11,69%). CONCLUSION: This review signals relevant disruptions across the acute care pathway. A subset of general surgery performance indicators showed stability in most of the phases of the care pathway. These results highlight the relevance of assessing this care pathway more regularly and systematically across different clinical entities to monitor disruptions and to improve the resilience of emergency services during a crisis.

Citizen engagement in healthcare procurement decision-making by healthcare insurers: recent experiences in the Netherlands.

BACKGROUND: In insurance-based healthcare systems, healthcare insurers are interested in engaging citizens in care procurement to contract healthcare services that matter to people. In the Netherlands, an amendment to the Health Insurance Act was set forth in 2021 to formalize and strengthen the engagement of the insured population with healthcare insurers' procurement cycles. This study explores the role of Dutch healthcare insurers in operationalizing citizen engagement in procurement cycles before changes occur linked to the amendment to the Health Insurance Act. METHODS: A phenomenological qualitative design was employed in two phases: (1) we consulted academics and policy experts on the role of healthcare insurers regarding citizen engagement; (2) we conducted focus groups with representatives of healthcare insurers to understand how citizens' engagement is being operationalized. Transcripts of the interviews with experts and detailed notes of focus group meetings were analysed using a qualitative inductive approach. Selected excerpts were analysed on discourse and content and organized by a coding scheme following a rigorous and accelerated data reduction technique. RESULTS: We identified four strategies used by healthcare insurers to operationalize citizen engagement: (1) broadening their population health orientation; (2) developing and improving mechanisms for engaging citizens; (3) strengthening features of data governance for effective use of value-driven data; (4) implementing financial and incentive mechanisms among healthcare providers in support of value-based healthcare. However, regulated market mechanisms and low institutional trust in healthcare insurers undermine their transition from merely funding healthcare towards becoming people-centred value-based healthcare purchasers. CONCLUSION: Dutch healthcare insurers seem to be strengthening the community orientation of their functioning while enhancing the end-to-end experience of the insured. The expected practical effects of the amendment to the Health Insurance Act include broadening the role of the council of insurees in decision-making processes and systematically documenting the efforts set forth by healthcare insurers in engaging citizens. Further research is needed to better understand how the regulated competitive market could be hampering the engagement of citizens in healthcare procurement decision-making and value creation from the citizens' perspective.

Changes in the quality of cancer care as assessed through performance indicators during the first wave of the COVID-19 pandemic in 2020: a scoping review.

BACKGROUND: Cancer comprises a high burden on health systems. Performance indicators monitoring cancer outcomes are routinely used in OECD countries. However, the development of process and cancer-pathway based information is essential to guide health care delivery, allowing for better monitoring of changes in the quality of care provided. Assessing the changes in the quality of cancer care during the COVID-19 pandemic requires a structured approach considering the high volume of publications. This study aims to summarize performance indicators used in the literature to evaluate the impact of the COVID-19 pandemic on cancer care (January-June 2020) in OECD countries and to assess changes in the quality of care as reported via selected indicators. METHODS: Search conducted in MEDLINE and Embase databases. Performance indicators and their trends were collated according to the cancer care pathway. RESULTS: This study included 135 articles, from which 1013 indicators were retrieved. Indicators assessing the diagnostic process showed a decreasing trend: from 33 indicators reporting on screening, 30 (91%) signalled a decrease during the pandemic (n = 30 indicators, 91%). A reduction was also observed in the number of diagnostic procedures (n = 64, 58%) and diagnoses (n = 130, 89%). The proportion of diagnoses in the emergency setting and waiting times showed increasing trends (n = 8, 89% and n = 14, 56%, respectively). A decreasing trend in the proportion of earliest stage cancers was reported by 63% of indicators (n = 9), and 70% (n = 43) of indicators showed an increasing trend in the proportion of advanced-stage cancers. Indicators reflecting the treatment process signalled a reduction in the number of procedures: 79%(n = 82) of indicators concerning surgeries, 72%(n = 41) of indicators assessing radiotherapy, and 93%(n = 40) of indicators related to systemic therapies. Modifications in cancer treatment were frequently reported: 64%(n = 195) of indicators revealed changes in treatment. CONCLUSIONS: This study provides a summary of performance indicators used in the literature to assess the cancer care pathway from January 2020 to June 2020 in OECD countries, and the changes in the quality of care signalled by these indicators. The trends reported inform on potential bottlenecks of the cancer care pathway. Monitoring this information closely could contribute to identifying moments for intervention during crises.

Patient-centred care in Hungary: Contributions to foster a policy agenda.

In Hungary, the National Health Insurance Fund provides health care coverage for nearly all residents, but healthcare spending is below the EU's average (6.4% versus 9.9% of the GDP in 2019, respectively). In 1997, patients' rights were established by laws of the healthcare system. The patients' voice, however, has remained weakly embedded in decision-making processes both on the system and individual patient levels. Policy progress achieved in the past years may foster patient-centeredness in health policy decision-making. However, people-reported data are not yet embedded in the Hungarian health information system and national population or household surveys, thus undermining the monitoring of the performance of the health system regarding patient-centred aspects. From the academic research side, several advances have occurred regarding the availability of validated instruments for the measurement of patient-centred aspects. These recent studies have placed Hungary in a uniquely advanced position compared with other countries in the Central and Eastern European (CEE) region. The use of those instruments in clinical guidelines and practices, to the education curricula of future health workers, is still in an early stage.

The Impact of the COVID-19 Pandemic on Hospital Services for Patients with Cardiac Diseases: A Scoping Review.

This study aims to assess the impact of the COVID-19 pandemic on hospital cardiac care, as assessed by performance indicators. Scoping review methodology: performance indicators were extracted to inform on changes in care during January-June 2020. Database searches yielded 6277 articles, of which 838 met the inclusion criteria. After full-text screening, 94 articles were included and 1637 indicators were retrieved. Most of the indicators that provided information on changes in the number of admissions (n = 118, 88%) signaled a decrease in admissions; 88% (n = 15) of the indicators showed patients' delayed presentation and 40% (n = 54) showed patients in a worse clinical condition. A reduction in diagnostic and treatment procedures was signaled by 95% (n = 18) and 81% (n = 64) of the indicators, respectively. Length of stay decreased in 58% (n = 21) of the indicators, acute coronary syndromes treatment times increased in 61% (n = 65) of the indicators, and outpatient activity decreased in 94% (n = 17) of the indicators related to outpatient care. Telehealth utilization increased in 100% (n = 6). Outcomes worsened in 40% (n = 35) of the indicators, and mortality rates increased in 52% (n = 31). All phases of the pathway were affected. This information could support the planning of care during the ongoing pandemic and in future events.

Engaging citizens in the development of a health system performance assessment framework: a case study in Ireland.

BACKGROUND: The launch in 2017 of the Irish 10-year reform programme Sláintecare represents a key commitment in the future of the health system. An important component of the programme was the development of a health system performance assessment (HSPA) framework. In 2019, the Department of Health of Ireland (DoH) and Health Service Executive (HSE) commissioned the technical support of researchers to develop an outcome-oriented HSPA framework which should reflect the shared priorities of multiple stakeholders, including citizens. This study describes the method applied in the Irish context and reflects on the added value of using a citizen panel in the development of an HSPA framework. METHODS: A panel of 15 citizens was convened, recruited by a third-party company using a sampling strategy to achieve a balanced mix representing the Irish society. Panellists received lay-language preparatory materials before the meeting. Panellists used a three-colour scheme to signal the importance of performance measures. An exit questionnaire was administered to understand how participants experienced being part of the panel. The citizen panel was the first in a series of three panels towards the development of the HSPA framework, followed by panels including representatives of the DoH and HSE, and representatives from professional associations and special interest groups. RESULTS: The citizen panel generated 249 health performance measures ranging across 13 domains. Top-ranking domains to the citizen panel (people-centredness, coordination of care, and coverage) were less prioritized by the other panels; domains less prioritized by the citizen panel, such as accessibility, responsiveness, efficiency, and effectiveness, were of higher priority in the other panels. Citizen panellists shared a similar understanding of what a citizen panel involves and described their experience at the panel as enjoyable, interesting, and informative. CONCLUSIONS: The priorities of the citizen panel were accounted for during all phases of developing the HSPA framework. This was possible by adopting an inclusive development process and by engaging citizens early on. Citizen engagement in HSPA development is essential for realizing citizen-driven healthcare system performance and generating trust and ownership in performance intelligence. Future research could expand the use of citizen panels to assess, monitor, and report on the performance of healthcare systems.

COVID-19 Preparedness and Perceived Safety in Nursing Homes in Southern Portugal: A Cross-Sectional Survey-Based Study in the Initial Phases of the Pandemic.

(1) Background: Nursing homes' preparedness in managing a public health emergency has been poor, with effects on safety culture. The objective of this study was to assess nursing homes' COVID-19 preparedness in southern Portugal, including staff's work experiences during the pandemic. (2) Methods: We used a COVID-19 preparedness checklist to be completed by management teams, followed by follow-up calls to nursing homes. Thereafter, a survey of staff was applied. Data analysis included descriptive statistics, exploratory factor analysis, and thematic analysis of open-end questions. (3) Results: In total, 71% (138/195) of eligible nursing homes returned the preparedness checklist. We conducted 83 follow-up calls and received 720 replies to the staff survey. On average, 25% of nursing homes did not have an adequate decision-making structure to respond to the pandemic. Outbreak capacity and training were areas for improvement among nursing homes' contingency plans. We identified teamwork as an area of strength for safety culture, whereas compliance with procedures and nonpunitive response to mistakes need improvement. (4) Conclusions: To strengthen how nursing homes cope with upcoming phases of the COVID-19 pandemic or future public health emergencies, nursing homes' preparedness and safety culture should be fostered and closely monitored.

Self-Reported Waiting Times for Outpatient Health Care Services in Hungary: Results of a Cross-Sectional Survey on a National Representative Sample.

(1) Background: System-level data on waiting time in the outpatient setting in Hungary is scarce. The objective of the study was to explore self-reported waiting time for an appointment and at a doctor's office. (2) Methods: An online, cross-sectional, self-administered survey was carried out in 2019 in Hungary among a representative sample (n = 1000) of the general adult population. Chi-squared test and logistic regression analysis were carried out to explore if socioeconomic characteristics, health status, or residence were associated with waiting times and the perception of waiting time as a problem. (3) Results: Proportions of 90%, 41%, and 64% of respondents were seen within a week by family doctor, public specialist, and private specialist, respectively. One-third of respondents waited more than a month to get an appointment with a public specialist. Respondents in better health status reported shorter waiting times; those respondents were less likely to perceive a problem with: (1) waiting time to get an appointment (OR = 0.400) and (2) waiting time at a doctor's office (OR = 0.519). (4) Conclusions: Longest waiting times were reported for public specialist visits, but waiting times were favorable for family doctors and private specialists. Further investigation is needed to better understand potential inequities affecting people in worse health status.

Features Constituting Actionable COVID-19 Dashboards: Descriptive Assessment and Expert Appraisal of 158 Public Web-Based COVID-19 Dashboards.

BACKGROUND: Since the outbreak of COVID-19, the development of dashboards as dynamic, visual tools for communicating COVID-19 data has surged worldwide. Dashboards can inform decision-making and support behavior change. To do so, they must be actionable. The features that constitute an actionable dashboard in the context of the COVID-19 pandemic have not been rigorously assessed. OBJECTIVE: The aim of this study is to explore the characteristics of public web-based COVID-19 dashboards by assessing their purpose and users ("why"), content and data ("what"), and analyses and displays ("how" they communicate COVID-19 data), and ultimately to appraise the common features of highly actionable dashboards. METHODS: We conducted a descriptive assessment and scoring using nominal group technique with an international panel of experts (n=17) on a global sample of COVID-19 dashboards in July 2020. The sequence of steps included multimethod sampling of dashboards; development and piloting of an assessment tool; data extraction and an initial round of actionability scoring; a workshop based on a preliminary analysis of the results; and reconsideration of actionability scores followed by joint determination of common features of highly actionable dashboards. We used descriptive statistics and thematic analysis to explore the findings by research question. RESULTS: A total of 158 dashboards from 53 countries were assessed. Dashboards were predominately developed by government authorities (100/158, 63.0%) and were national (93/158, 58.9%) in scope. We found that only 20 of the 158 dashboards (12.7%) stated both their primary purpose and intended audience. Nearly all dashboards reported epidemiological indicators (155/158, 98.1%), followed by health system management indicators (85/158, 53.8%), whereas indicators on social and economic impact and behavioral insights were the least reported (7/158, 4.4% and 2/158, 1.3%, respectively). Approximately a quarter of the dashboards (39/158, 24.7%) did not report their data sources. The dashboards predominately reported time trends and disaggregated data by two geographic levels and by age and sex. The dashboards used an average of 2.2 types of displays (SD 0.86); these were mostly graphs and maps, followed by tables. To support data interpretation, color-coding was common (93/158, 89.4%), although only one-fifth of the dashboards (31/158, 19.6%) included text explaining the quality and meaning of the data. In total, 20/158 dashboards (12.7%) were appraised as highly actionable, and seven common features were identified between them. Actionable COVID-19 dashboards (1) know their audience and information needs; (2) manage the type, volume, and flow of displayed information; (3) report data sources and methods clearly; (4) link time trends to policy decisions; (5) provide data that are "close to home"; (6) break down the population into relevant subgroups; and (7) use storytelling and visual cues. CONCLUSIONS: COVID-19 dashboards are diverse in the why, what, and how by which they communicate insights on the pandemic and support data-driven decision-making. To leverage their full potential, dashboard developers should consider adopting the seven actionability features identified.

Understanding the use of patient-reported data by health care insurers: A scoping review.

BACKGROUND: Patient-reported data are widely used for many purposes by different actors within a health system. However, little is known about the use of such data by health insurers. Our study aims to map the evidence on the use of patient-reported data by health insurers; to explore how collected patient-reported data are utilized; and to elucidate the motives of why patient-reported data are collected by health insurers. METHODS: The study design is that of a scoping review. In total, 11 databases were searched on. Relevant grey literature was identified through online searches, reference mining and recommendations from experts. Forty-two documents were included. We synthesized the evidence on the uses of patient-reported data by insurers following a structure-process-outcome approach; we also mapped the use and function of those data by a health insurer. RESULTS: Health insurers use patient-reported data for assurance and improvement of quality of care and value-based health care. The patient-reported data most often collected are those of outcomes, experiences and satisfaction measures; structure indicators are used to a lesser extent and often combined with process indicators. These data are mainly used for the purposes of procurement and purchasing of services, quality assurance, improvement and reporting, and strengthening the involvement of insured people. CONCLUSIONS: The breadth to which insurers use patient-reported data in their business models varies greatly. Some hindering factors to the uptake of such data are the varying and overlapping terminology in use in the field and the limited involvement of insured people in a health insurer's business. Health insurers are advised to be more explicit in regard to the role they want to play within the health system and society at large, and accommodate implications for the use of patient-reported data accordingly.

Eliciting preferences for outpatient care experiences in Hungary: A discrete choice experiment with a national representative sample.

INTRODUCTION: Patient-reported experience measures (PREMs) are central to inform on the responsiveness of health systems to citizens' health care needs and expectations. At their current form, PREMs do not reflect the weights that patients assign to varying aspects of the care experience. We aimed to investigate patients' preferences and willingness to pay (WTP) for attributes of the care experience in outpatient settings. METHODS: A discrete choice experiment was conducted among a representative sample of the general adult population of Hungary (n = 1000). Choice set attributes and levels were defined based on OECD's standardized PREMs (e.g. a doctor spending enough time in consultation, providing easy to understand explanations, giving opportunity to ask questions, and involving in decision making) and a price attribute. Conditional and mixed logit analyses were conducted. WTP estimates were computed in preference and WTP space. RESULTS: The respondents most preferred attribute was that of a doctor spending enough time in consultation, followed by involvement in decision making. Moreover, waiting times had a less important effect on respondents' choice preference compared with aspects of the doctor-patient relationship. Estimates in the WTP space varied from €4.38 (2.85-5.90) for waiting an hour less at a doctor's office to €36.13 (32.07-40.18) for a consultation where a doctor spends enough time with a patient relative to a consultation where a doctor does not. CONCLUSIONS: A preference-based PREMs approach provide insight on the value patients assign to different aspects of their care experience. This can inform the decisions of policy-makers and other stakeholders to coordinate efforts and resource allocation in a more targeted manner, by acting on attributes of the care experience that have a greater impact on the implementation of patient-centered care.

Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study.

BACKGROUND: Digital health, which encompasses the use of information and communications technology in support of health, is a key driving force behind the cultural transformation of medicine toward people-centeredness. Thus, eHealth literacy, assisted by innovative digital health solutions, may support better experiences of care. OBJECTIVE: The purpose of this study is to explore the relationship between eHealth literacy and patient-reported experience measures (PREMs) among users of outpatient care in Hungary. METHODS: In early 2019, we conducted a cross-sectional survey on a large representative online sample recruited from the Hungarian general population. eHealth literacy was measured with the eHealth Literacy Scale (eHEALS). PREMs with outpatient care were measured with a set of questions recommended by the Organisation for Economic Co-operation and Development (OECD) for respondents who attended outpatient visit within 12 months preceding the survey. Bivariate relationships were explored via polychoric correlation, the Kruskal-Wallis test, and chi-square test. To capture nonlinear associations, after controlling covariates, we analyzed the relationship between eHEALS quartiles and PREMs using multivariate probit, ordinary least squares, ordered logit, and logistic regression models. RESULTS: From 1000 survey respondents, 666 individuals (364 females, 54.7%) were included in the study with mean age of 48.9 (SD 17.6) years and mean eHEALS score of 29.3 (SD 4.9). Respondents with higher eHEALS scores were more likely to understand the health care professionals' (HCPs') explanations (χ29=24.2, P=.002) and to be involved in decision making about care and treatment (χ29=18.2, P=.03). In multivariate regression, respondents with lowest (first quartile) and moderately high (third quartile) eHEALS scores differed significantly, where the latter were more likely to have an overall positive experience (P=.02) and experience fewer problems (P=.02). In addition, those respondents had better experiences in terms of how easy it was to understand the HCPs' explanations (P<.001) and being able to ask questions during their last consultation (P=.04). Patient-reported experiences of individuals with highest (fourth quartile) and lowest (first quartile) eHEALS levels did not differ significantly in any items of the PREM instrument, and neither did composite PREM scores generated from the PREM items (P>.05 in all models). CONCLUSIONS: We demonstrated the association between eHealth literacy and PREMs. The potential patient-, physician-, and system-related factors explaining the negative experiences among people with highest levels of eHealth literacy warrant further investigation, which may contribute to the development of efficient eHealth literacy interventions. Further research is needed to establish causal relationship between eHealth literacy and patient-reported experiences.

Patient experiences with outpatient care in Hungary: results of an online population survey.

BACKGROUND: Health systems are undertaking efforts to make health care more patient centered and value based. To achieve this goal, the use of patient-reported experience measures (PREMs) is increasing, especially across OECD countries. However, in Hungary, data on patients' experiences are still lacking. Thus, our aim was twofold: first, to collect data on outpatient experience in Hungary on patient-doctor communication and patient involvement in decision making and compare it with that of other OECD countries; second, to assess associations of outpatient experience with patients' socioeconomic characteristics. METHODS: In early 2019, we conducted a cross-sectional, online, self-administered survey in a national representative sample of Hungary's population (n = 1000). The sample was weighted considering gender, age, highest education level attained, type of settlement, and region of residence. The survey questions were based on a set of recommended questions by the OECD. RESULTS: Our findings show that the proportion of reported positive experiences is as follows: doctors providing easy-to-understand explanations (93.1%) followed by time spent on the consultation (87.5%), opportunities to raise questions (85.8%), and doctors involving patients in decision making about care and treatment (80.1%). The share of positive experiences falls behind OECD's average regarding patient-doctor communication and patient involvement in decision making, which signals room for improvement in these areas. CONCLUSIONS: Women, younger people, people with a paid job, and patients with consultations with allied health professionals reported significant lesser positive care experiences and, hence, more targeted policies can be initiated based on our findings.

Unmet medical needs in ambulatory care in Hungary: forgone visits and medications from a representative population survey.

BACKGROUND: The objective of this paper is to explore unmet health care needs in Hungary in ambulatory care due to costs and difficulties in travelling, and to analyze how unmet needs relate to socio-demographic characteristics. METHODS: The quantitative analysis is based on a national, representative online survey carried out in Hungary on a sample of 1000 respondents in early 2019 using a proposed set of questions developed by the OECD. We present and compare unmet medical needs in different socio-demographic groups, and we use multivariate logistic regression analysis to identify the main determinants of unmet medical needs. RESULTS: Among responders who had medical problems in the last 12 months, 27.3% reported forgone medical visit due to difficulties in travelling, 24.2% had unfilled prescription for medicine due to costs, 21.4% reported forgone medical visit or follow-up visit due to costs and 16.6% reported skipped medical test, treatment or other follow-up due to costs. These shares are much higher than presented previously in international databases. The logistic model indicates that respondents were significantly more likely to report unmet needs if they were women, younger or belonged to first and second income quintiles. CONCLUSIONS: Policy makers need to address the issue of high prevalence of forgone medical care among the Hungarian population to avoid deterioration of population health and inequalities in access. As a first step, policies should try to decrease financial burden of vulnerable groups to improve access.