Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey

BACKGROUND

The aim of this study was to assess social preferences for two different advanced digital health technologies and investigate the contextual dependency of the preferences.

METHODS

A cross-sectional online survey was performed among the general population of Hungary aged 40 years and over. Participants were asked to imagine that they needed a total hip replacement surgery and to indicate whether they would prefer a traditional or a robot-assisted (RA) hip surgery. To better understand preferences for the chosen method, the willingness to pay (WTP) method was used. The same assessment was conducted for preferences between a radiologist's and AI-based image analysis in establishing the radiological diagnosis of a suspected tumour. Respondents' electronic health literacy was assessed with the eHEALS questionnaire. Descriptive methods were used to assess sample characteristics and differences between subgroups. Associations were investigated with correlation analysis and multiple linear regressions.

RESULTS

Altogether, 1400 individuals (53.7% female) with a mean age of 58.3 (SD = 11.1) years filled in the survey. RA hip surgery was chosen by 762 (54.4%) respondents, but only 470 (33.6%) chose AI-based medical image evaluation. Those who opted for the digital technology had significantly higher educational levels and electronic health literacy (eHEALS). The majority of respondents were willing to pay to secure their preferred surgical (surgeon 67.2%, robot-assisted: 68.8%) and image assessment (radiologist: 70.9%; AI: 77.4%) methods, reporting similar average amounts in the first (p = 0.677), and a significantly higher average amount for radiologist vs. AI in the second task (p = 0.001). The regression showed a significant association between WTP and income, and in the hip surgery task, it also revealed an association with the type of intervention chosen.

CONCLUSIONS

Individuals with higher education levels seem to accept the advanced digital medical technologies more. However, the greater openness for RA surgery than for AI image assessment highlights that social preferences may depend considerably on the medical situation and the type of advanced digital technology. WTP results suggest rather firm preferences in the great majority of the cases. Determinants of preferences and real-world choices of affected patients should be further investigated in future studies.

The Impact of Parental Electronic Health Literacy on Disease Management and Outcomes in Pediatric Type 1 Diabetes Mellitus: Cross-Sectional Clinical Study

BACKGROUND

Despite the growing uptake of smart technologies in pediatric type 1 diabetes mellitus (T1DM) care, little is known about caregiving parents' skills to deal with electronic health information sources.

OBJECTIVE

We aimed to assess the electronic health literacy of parents caring for children with T1DM and investigate its associations with disease management and children's outcomes.

METHODS

A cross-sectional survey was performed involving 150 parent-child (8-14 years old with T1DM) dyads in a university pediatric diabetology center. Parents' electronic health literacy (eHealth Literacy Scale [eHEALS]), general health literacy (Chew questionnaire and Newest Vital Sign [NVS]), and attitudes toward T1DM care (Parental Self-Efficacy Scale for Diabetes Management [PSESDM] and Hypoglycemia Fear Survey [HFS]) were investigated. Children's treatment, HbA1c level, and quality of life (Pediatric Quality of Life Inventory Diabetes Module [PedsQL Diab] and EQ-5D-Y-3L) were assessed. Multiple linear regression analysis was performed to investigate the determining factors of 6-month average HbA1c.

RESULTS

Of the 150 children, 38 (25.3%) used a pen, 55 (36.7%) used a pen plus a sensor, 6 (4.0%) used an insulin pump, and 51 (34.0%) used an insulin pump plus a sensor. Parents' average eHEALS score (mean 31.2, SD 4.9) differed significantly by educational level (P=.04) and the children's treatment (P=.005), being the highest in the pump + sensor subgroup. The eHEALS score showed significant Pearson correlations with the Chew score (r=-0.45; P<.001), NVS score (r=0.25; P=.002), and PSESDM score (r=0.35; P<.001) but not with the children's HbA1c (r=-0.143; P=.08), PedsQL Diab (r=-0.0002; P>.99), and EQ-5D-Y-3L outcomes (r=-0.13; P=.12). Regression analysis revealed significant associations of the child's HbA1c level with sex (β=0.58; P=.008), treatment modality (pen + sensor: β=-0.66; P=.03; pump + sensor: β=-0.93; P=.007), and parents' self-efficacy (PSESDM; β=-0.08; P=.001).

CONCLUSIONS

Significantly higher parental electronic health literacy was found in T1DM children using a glucose sensor. The electronic health literacy level was associated with parents' diabetes management attitude but not with the child's glycemic control. Studies further investigating the role of parental electronic health literacy in T1DM children managed at different levels of care and the local context are encouraged.

Psychometric Properties of General Oral Health Assessment Index Across Ages: COSMIN Systematic Review

OBJECTIVES

To systematically review the psychometric properties of the Geriatric Oral Health Assessment Index (GOHAI) across age groups using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology.

METHODS

Data: English peer-reviewed articles reporting studies of the development, translation, or validation of GOHAI.

SOURCES

PubMed, Web of Science, and EMBASE from Jan 1990 until December 31, 2023. Methodological evaluation: based on COSMIN methodology. The results are presented overall and for 4 age groups (≥60 years, all ages, <60 years, ≤45 years). Structural validity was summarized qualitatively. Internal consistency and reliability were synthesized via random-effects meta-analysis of T-transformed Cronbach α values, and Fisher's Z transformed correlation coefficients. Construct validity and responsiveness were assessed using effect sizes.

RESULTS

Four hundred ninety-seven records were identified, 72 underwent full-text assessment, resulting in 60 included reports. Structural validity was inconsistent across all age groups and overall. Internal consistency was sufficient with overall α = 0.81, and high evidence quality. Test-retest reliability was consistently sufficient across age groups with overall r = 0.84. For construct validity 361 hypotheses were assessed (37.4% for convergent-, 62.6% for known-groups validity). The percentage of confirmed hypotheses in ≥60-years, all ages, <60-years and ≤45-years were 75.5%, 66.7%, 78.9%, and 88.9%, respectively. Responsiveness was not assessed in the <60-years and ≤45-years age groups, leading to indeterminate overall rating with very low evidence quality.

CONCLUSIONS

This review affirms that GOHAI has sufficient psychometric properties as an oral health-related quality of life instrument in various age groups, but its responsiveness is scarcely researched and its utility for individual-level follow-up is limited. The measurement properties of oral health-related quality of life tools must be scrutinized in the changing demands of personalized and value-based dental care. (PROSPERO registration: CRD42022384132).

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

BACKGROUND

Diabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intelligence studies in medicine.

OBJECTIVE

We aimed to systematically review the reporting quality of machine learning (ML) studies of pediatric DM using the Minimum Information About Clinical Artificial Intelligence Modelling (MI-CLAIM) checklist, a general reporting guideline for medical artificial intelligence studies.

METHODS

We searched the PubMed and Web of Science databases from 2016 to 2020. Studies were included if the use of ML was reported in children with DM aged 2 to 18 years, including studies on complications, screening studies, and in silico samples. In studies following the ML workflow of training, validation, and testing of results, reporting quality was assessed via MI-CLAIM by consensus judgments of independent reviewer pairs. Positive answers to the 17 binary items regarding sufficient reporting were qualitatively summarized and counted as a proxy measure of reporting quality. The synthesis of results included testing the association of reporting quality with publication and data type, participants (human or in silico), research goals, level of code sharing, and the scientific field of publication (medical or engineering), as well as with expert judgments of clinical impact and reproducibility.

RESULTS

After screening 1043 records, 28 studies were included. The sample size of the training cohort ranged from 5 to 561. Six studies featured only in silico patients. The reporting quality was low, with great variation among the 21 studies assessed using MI-CLAIM. The number of items with sufficient reporting ranged from 4 to 12 (mean 7.43, SD 2.62). The items on research questions and data characterization were reported adequately most often, whereas items on patient characteristics and model examination were reported adequately least often. The representativeness of the training and test cohorts to real-world settings and the adequacy of model performance evaluation were the most difficult to judge. Reporting quality improved over time (r=0.50; P=.02); it was higher than average in prognostic biomarker and risk factor studies (P=.04) and lower in noninvasive hypoglycemia detection studies (P=.006), higher in studies published in medical versus engineering journals (P=.004), and higher in studies sharing any code of the ML pipeline versus not sharing (P=.003). The association between expert judgments and MI-CLAIM ratings was not significant.

CONCLUSIONS

The reporting quality of ML studies in the pediatric population with DM was generally low. Important details for clinicians, such as patient characteristics; comparison with the state-of-the-art solution; and model examination for valid, unbiased, and robust results, were often the weak points of reporting. To assess their clinical utility, the reporting standards of ML studies must evolve, and algorithms for this challenging population must become more transparent and replicable.

[Personalized medicine and healthcare: where are we now, where should we go?]

The authors of this manuscript are representatives of different subdisciplines of medicine, all of them are experienced researchers. As of their origin, they are practicing doctors from the primary care and from the clinical/hospital setting, diagnostics experts, researchers from healthcare management, health economics, representatives of patients' rights and patient organizations. They are all devoted to the implementation of personalized medicine and personalized healthcare in Hungary. The current manuscript - also meant to be a keynote message provoking further discussion in the medical community - is devoted to correcting for two false ideas. One is that personalized medicine is not yet ready for practical applications, it is merely a research area of futurologists. The other false idea is that only (or mainly) the lack of financial resources hinders the introduction of personalized healthcare in Hungary. Orv Hetil. 2023; 164(6): 202-209.

Epidemiology and patients' self-reported knowledge of implantable medical devices: Results of a cross-sectional survey in Hungary

BACKGROUND

Implantable medical devices (IMDs) are medical instruments embedded inside the body. Well-informed and empowered patients living with IMDs are key players of improving IMD-related patient safety and health outcomes. However, little is known about IMD patients' epidemiology, characteristics, and current awareness levels. Our primary aim was to investigate the point and lifetime prevalence of patients living with IMDs. Patients' IMD-related knowledge and determinants of IMDs' impact on their life were also explored.

METHODS

An online cross-sectional survey was conducted. Respondents' IMD history, whether they received instructions for use and IMD's overall impact on life were recorded by self-reports. Patients' knowledge about living with IMDs was assessed on visual analogue scales (VAS, 0-10). Shared decision-making was analyzed by the 9-item Shared Decision Making Questionnaire (SDM-Q-9). Descriptive statistics and subgroup comparisons between IMD wearers were performed for statistical differences. Significant determinants of IMD's overall impact on life were examined in linear regression analysis.

RESULTS

In the total sample (N = 1400, mean age 58.1 ±11.1; female 53.7%), nearly one third of respondents were living with IMD (30.9%; 433/1400). Among them, the most frequent IMDs were tooth implants (30.9%) and intraocular lens (26.8%). Mean knowledge VAS scores were similar (range: 5.5 ±3.8-6.5 ±3.2) but differences by IMD types were observed. Patients who received instructions for use or reported better impact on life indicated higher self-reported knowledge. Regression confirmed that patients' knowledge was significant predictor of IMD's impact on life, but this effect was overwritten by the SDM-Q-9.

CONCLUSIONS

This first comprehensive epidemiological study on IMDs provides basic data for public health strategy planning alongside the implementation of MDR. Improved self-perceived outcomes were associated with higher knowledge hence education of patients receiving IMD deserves consideration. We suggest to investigate further the role of shared decision-making on IMD's overall impact on patients' life in future prospective studies.

Digital Biomarker-Based Interventions: Systematic Review of Systematic Reviews

BACKGROUND

The introduction of new medical technologies such as sensors has accelerated the process of collecting patient data for relevant clinical decisions, which has led to the introduction of a new technology known as digital biomarkers.

OBJECTIVE

This study aims to assess the methodological quality and quality of evidence from meta-analyses of digital biomarker-based interventions.

METHODS

This study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline for reporting systematic reviews, including original English publications of systematic reviews reporting meta-analyses of clinical outcomes (efficacy and safety endpoints) of digital biomarker-based interventions compared with alternative interventions without digital biomarkers. Imaging or other technologies that do not measure objective physiological or behavioral data were excluded from this study. A literature search of PubMed and the Cochrane Library was conducted, limited to 2019-2020. The quality of the methodology and evidence synthesis of the meta-analyses were assessed using AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews 2) and GRADE (Grading of Recommendations, Assessment, Development, and Evaluations), respectively. This study was funded by the National Research, Development and Innovation Fund of Hungary.

RESULTS

A total of 25 studies with 91 reported outcomes were included in the final analysis; 1 (4%), 1 (4%), and 23 (92%) studies had high, low, and critically low methodologic quality, respectively. As many as 6 clinical outcomes (7%) had high-quality evidence and 80 outcomes (88%) had moderate-quality evidence; 5 outcomes (5%) were rated with a low level of certainty, mainly due to risk of bias (85/91, 93%), inconsistency (27/91, 30%), and imprecision (27/91, 30%). There is high-quality evidence of improvements in mortality, transplant risk, cardiac arrhythmia detection, and stroke incidence with cardiac devices, albeit with low reporting quality. High-quality reviews of pedometers reported moderate-quality evidence, including effects on physical activity and BMI. No reports with high-quality evidence and high methodological quality were found.

CONCLUSIONS

Researchers in this field should consider the AMSTAR-2 criteria and GRADE to produce high-quality studies in the future. In addition, patients, clinicians, and policymakers are advised to consider the results of this study before making clinical decisions regarding digital biomarkers to be informed of the degree of certainty of the various interventions investigated in this study. The results of this study should be considered with its limitations, such as the narrow time frame.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/28204.

Validation of the PAM-13 instrument in the Hungarian general population 40 years old and above

BACKGROUND

Patient activation comprises the skills, knowledge and motivation necessary for patients' effective contribution to their care. We adapted and validated the 13-item Patient Activation Measure (PAM-13) in the ≥ 40 years old Hungarian general population.

METHODS

A cross-sectional web survey was conducted among 900 respondents selected from an online panel via quota sampling. After 10 days, the survey was repeated on 100 respondents. The distribution, internal consistency, test-retest reliability, factor structure, convergent, discriminant and known-groups validity of PAM-13 were assessed according to the COSMIN guidelines.

RESULTS

The sample comprised 779 respondents. Mean (± SD) age was 60.4 ± 10.6 years, 54% were female and 67% had chronic illness. Mean (± SD) PAM-13 score was 60.6 ± 10.0. We found good internal consistency (Cronbach alpha: 0.77), moderate test-retest reliability (ICC: 0.62; n = 75), a single-factor structure and good content validity: PAM-13 showed moderate correlation with the eHealth Literacy Scale (r = 0.40), and no correlation with age (r = 0.02), education (r = 0.04) or income (ρ = 0.04). Higher PAM-13 scores were associated with fewer lifestyle risks (p < 0.001), more frequent health information seeking (p < 0.001), participation in patient education (p = 0.018) and various online health-related behaviours. When controlling for health literacy, sociodemographic factors and health status, the association of higher PAM-13 scores with overall fewer lifestyle risks, normal body mass index, physical activity and adequate diet remained significant. Similar properties were observed in the subgroup of participants with chronic morbidity, but not in the age group 65+.

CONCLUSION

PAM-13 demonstrated good validity in the general population. Its properties in clinical populations and the elderly as well as responsiveness to interventions warrant further research.

Predicting Patient-Level 3-Level Version of EQ-5D Index Scores From a Large International Database Using Machine Learning and Regression Methods

OBJECTIVES

This study aimed to evaluate the performance of machine learning and regression methods in the prediction of 3-level version of EQ-5D (EQ-5D-3L) index scores from a large diverse data set.

METHODS

A total of 30 studies from 3 countries were combined. Predictions were performed via eXtreme Gradient Boosting classification (XGBC), eXtreme Gradient Boosting regression (XGBR) and ordinary least squares (OLS) regression using 10-fold cross-validation and 80%/20% partition for training and testing. We evaluated 6 prediction scenarios using 3 samples (general population, patients, total) and 2 predictor sets: demographic and disease-related variables with/without patient-reported outcomes. Model performance was evaluated by mean absolute error and percent of predictions within clinically irrelevant error range and within correct health severity group (EQ-5D-3L index <0.45, 0.45-0.926, >0.926).

RESULTS

The data set involved 26 318 individuals (clinical settings n = 6214, general population n = 20 104) and 26 predictor variables plus diagnoses. Using all predictors and the total sample, mean absolute error values were 0.153, 0.126, and 0.131, percent of predictions within clinically irrelevant error range were 47.6%, 39.5%, and 37.4%, and within the correct health severity group were 56.3%, 64.9%, and 63.3% by XGBC, XGBR, and OLS, respectively. The performance of models depended on the applied evaluation criteria, the target population, the included predictors, and the EQ-5D-3L index score range.

CONCLUSIONS

Regression models (XGBR and OLS) outperformed XGBC, yet prediction errors were outside the clinically irrelevant error range for most respondents. Our results highlight the importance of systematic patient-reported outcome (EQ-5D) data collection. Dialogs between artificial intelligence and outcomes research experts are encouraged to enhance the value of accumulating data in health systems.

Measuring the acceptability of EQ-5D-3L health states for different ages: a new adaptive survey methodology

BACKGROUND

Acceptable health and sufficientarianism are emerging concepts in health resource allocation. We defined acceptability as the proportion of the general population who consider a health state acceptable for a given age. Previous studies surveyed the acceptability of health problems separately per EQ-5D-3L domain, while the acceptability of health states with co-occurring problems was barely explored.

OBJECTIVE

To quantify the acceptability of 243 EQ-5D-3L health states for six ages from 30 to 80 years: 1458 health state-age combinations (HAcs), denoted as the acceptability set of EQ-5D-3L.

METHODS

In 2019, an online representative survey was conducted in the Hungarian general population. We developed a novel adaptive survey algorithm and a matching statistical measurement model. The acceptability of problems was evaluated separately per EQ-5D-3L domain, followed by joint evaluation of up to 15 HAcs. The selection of HAcs depended on respondents' previous responses. We used an empirical Bayes measurement model to estimate the full acceptability set.

RESULTS

1375 respondents (female: 50.7%) were included with mean (SD) age of 46.7 (14.6) years. We demonstrated that single problems that were acceptable separately for a given age were less acceptable when co-occurring jointly (p < 0.001). For 30 years of age, EQ-5D-3L health states of '11112' (11.9%) and '33333' (1%), while for 80 years of age '21111' (93.3%) and '33333' (7.4%) had highest and lowest acceptability (% of population), respectively.

CONCLUSION

The acceptability set of EQ-5D-3L quantifies societal preferences concerning age and disease severity. Its measurement profiles and potential role in health resource allocation needs further exploration.

Disease-Related Costs Published in The Middle East and North Africa Region: Systematic Review and Analysis of Transferability

BACKGROUND

In the Middle East and North Africa (MENA) the scarcity of local cost data is a key barrier to conducting health economic evaluations. We systematically reviewed reports of disease-related costs from MENA and analysed their transferability within the region.

METHODS

We searched PubMed and included full text English papers that reported disease-related costs from the local populations of Algeria, Bahrain, Egypt, Iraq, Jordan, Saudi Arabia, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Syria, Tunisia, United Arab Emirates and Yemen between 1995 and 2019. Screening, study selection and data extraction were done in duplicate. Study-related variables, costing methods, all costs and their characteristics were extracted and analysed via descriptive methods. From multi-country studies of MENA employing homogenous costing methods, we estimated the ratio (cost transfer coefficient) between the relative differences in direct medical costs and macroeconomic indicators via robust regression. We predicted each cost via the estimated cost transfer formula and evaluated prediction error between true and predicted (transferred) costs.

RESULTS

The search yielded 1646 records, 206 full text papers and 3525 costs from 84 diagnoses. Transferability was analysed involving 144 direct medical costs from eight multi-country studies. Adjusting the average of available foreign costs by 0.28 times the relative difference in GDP per capita provided the most accurate estimates. The correlation between true and predicted costs was 0.96; 68% of predicted costs fell in the true ± 50% range. Predictions were more accurate for costs from studies that involved the largest number of countries, for countries outside the Gulf region and for drug costs versus unit or disease costs.

CONCLUSION

The estimated cost transfer formula allows the prediction of missing costs in MENA if only GDP per capita is available for adjustment to the local setting. Input costs for the formula should be collected from multiple sources and match the decision situation.

Development of Population Tariffs for the ICECAP-A Instrument for Hungary and their Comparison With the UK Tariffs

OBJECTIVES

The ICEpop CAPability measure for Adults (ICECAP-A) was developed to assess the capability well-being of adults for use in economic evaluations. Currently, ICECAP-A tariffs are available only for the UK population. The objectives of this study were to develop a Hungarian tariff set for the ICECAP-A instrument and to explore intercountry differences between the Hungarian and the UK value sets.

METHODS

A survey was conducted by computer-assisted personal interviews on a sample representative of the Hungarian adult population (N = 1000) to elicit their preferences regarding ICECAP-A attributes with the use of a best-worst scaling choice task. A latent class multinomial logit model with continuous variance scale was used to estimate the weights for each of the 4 capability levels of all 5 ICECAP-A attributes, namely, attachment, stability, achievement, enjoyment, and autonomy.

RESULTS

The model identified 2 preference classes with approximately equal share. The first class had a stronger relative preference for autonomy and achievement, whereas the second class had a strong preference for attachment. Multivariate analysis of the classes revealed that women, pensioners, people who are married or living in a partnership, and people with poorer health status are characteristics associated with the latter class membership (preference for attachment). Population tariffs were estimated from the model. Overall, attachment was found to be the most important attribute, followed by stability, enjoyment, achievement, and autonomy.

CONCLUSIONS

Hungarian tariffs are largely consistent with those found for the United Kingdom; nevertheless, autonomy seems to be less important in Hungary compared with the United Kingdom.

Comparing the measurement properties of the ICECAP-A and ICECAP-O instruments in ages 50-70: a cross-sectional study on a representative sample of the Hungarian general population

OBJECTIVE

The ICECAP-A and ICECAP-O were validated as capability wellbeing measures of adults aged 18 + and 65 + years, respectively. We aimed to compare their measurement properties in age group 50-70.

METHODS

Data were derived from a cross-sectional survey among a sample representative for the adult Hungarian population. Respondents aged between 50 and 70 filled in both the ICECAP-A and ICECAP-O questionnaires. We assessed and compared feasibility, agreement, discriminatory power, convergent and content validity of the two instruments and explored the determinants of the differences between the two measures.

RESULTS

707 respondents (99.4%) provided full answers to both questionnaires (46.3% women, average age 60.1 years). The instruments showed similar construct and convergent validity and discriminatory power. Pearson-correlations between instrument items were strong (r > 0.5). ICECAP-A and ICECAP-O scores could be calculated from each other with a good confidence (R² = 0.69 and 0.71). ICECAP-O scores (mean 0.87, SD = 0.12) were systematically higher than ICECAP-A scores (0.85, SD = 0.15) in most subgroups. The difference increased with the deterioration of capability and health, and with age. Regression results showed that employment and health status had larger marginal effect on the ICECAP-A than on the ICECAP-O scores, and these effects were larger than the effect of age on both measures.

CONCLUSION

Validity of both instruments was confirmed in the age groups 50-70. Given that employment and health status are important determinants of the differences between the two instruments besides age, the possibility of linking the choice between ICECAP-A and ICECAP-O to these factors should be investigated by further research.

Outcomes of Digital Biomarker-Based Interventions: Protocol for a Systematic Review of Systematic Reviews

BACKGROUND

Digital biomarkers are defined as objective, quantifiable, physiological, and behavioral data that are collected and measured using digital devices such as portables, wearables, implantables, or digestibles. For their widespread adoption in publicly financed health care systems, it is important to understand how their benefits translate into improved patient outcomes, which is essential for demonstrating their value.

OBJECTIVE

The paper presents the protocol for a systematic review that aims to assess the quality and strength of the evidence reported in systematic reviews regarding the impact of digital biomarkers on clinical outcomes compared to interventions without digital biomarkers.

METHODS

A comprehensive search for reviews from 2019 to 2020 will be conducted in PubMed and the Cochrane Library using keywords related to digital biomarkers and a filter for systematic reviews. Original full-text English publications of systematic reviews comparing clinical outcomes of interventions with and without digital biomarkers via meta-analysis will be included. The AMSTAR-2 tool will be used to assess the methodological quality of these reviews. To assess the quality of evidence, we will evaluate the systematic reviews using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) tool. To detect the possible presence of reporting bias, we will determine whether a protocol was published prior to the start of the studies. A qualitative summary of the results by digital biomarker technology and outcomes will be provided.

RESULTS

This protocol was submitted before data collection. Search, screening, and data extraction will commence in December 2021 in accordance with the published protocol.

CONCLUSIONS

Our study will provide a comprehensive summary of the highest level of evidence available on digital biomarker interventions, providing practical guidance for health care providers. Our results will help identify clinical areas in which the use of digital biomarkers has led to favorable clinical outcomes. In addition, our findings will highlight areas of evidence gaps where the clinical benefits of digital biomarkers have not yet been demonstrated.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/28204.

Musculoskeletal health and capability wellbeing: Associations between the HAQ-DI, ICECAP-A and ICECAP-O measures in a population survey

BACKGROUND

The capability approach has received increasing attention in wellbeing measurement in the past years, but it has still remained an underexplored area in musculoskeletal (MSK) health.

OBJECTIVE

We aimed to explore the capability wellbeing in relation to MSK health, by measuring the associations between the Health Assessment Questionnaire Disability Index (HAQ-DI) physical functioning and the ICECAP-A and ICECAP-O capability wellbeing measures.

DESIGN

A cross-sectional survey was performed in 2019 on a representative sample of the Hungarian general adult population.

METHOD

Capability wellbeing was measured by the ICECAP-A (age-group 18-64) and ICECAP-O (age group 65+) questionnaires. MSK health was defined by the HAQ-DI, the mobility domain of the EQ-5D-3L/-5L health status measures, self-reported walking problems and MSK diagnosis (neck/back/low back defects, hip/knee arthrosis, osteoporosis).

RESULTS

Altogether 2021 individuals (female: 50.1%) participated in the survey with mean (SD) age of 48.7 (17.9) years and HAQ-DI of 0.138 (0.390). ICECAP-A (N = 1568, 77.6%) and ICECAP-O (N = 453, 22.4%) scores were on average (SD) 0.894 (0.126) and 0.828 (0.150), respectively. Spearman correlations between the HAQ-DI and ICECAP-A/-O index scores were moderate (r = -0.303 and -0.496; p < 0.05). Both the ICECAP-A/-O index scores differed significantly (ANOVA test, p < 0.05) across all MSK subgroups. In the ordinary least square regressions, marginal effects of ICECAP-A/-O scores on HAQ-DI were significant (-0.149 and -0.123) when controlling for socio-demographic characteristics.

CONCLUSIONS

MSK health problems are associated with lower capability wellbeing. ICECAP-A/-O might capture effects of MSK conditions not measured by the HAQ-DI or the EQ-5D-5L. Further studies should test these associations in disease-specific samples.

Subjective expectations concerning life expectancy and age-related health burden

Összefoglaló. Bevezetés: A lakosság idősödésével növekvő betegségteher egyéni és társadalmi szinten is fokozódó nyomást jelent. Célkitűzés: Felmérni a hazai általános felnőtt lakosságnak a korlátozottsággal, a gondozási igényekkel és a munkavégzéssel kapcsolatos időskori szubjektív várakozásait. Módszer: Online keresztmetszeti felmérést végeztünk. A korlátozottsággal kapcsolatos várakozásokat a hivatalos szakstatisztikákban alkalmazott globális tevékenységkorlátozottsági mutató (Global Activity Limitation Indicator, GALI) segítségével elsőként vizsgáltuk. A jelen és szubjektíve várt munkavégzést, gondozási igényt, gondozói tevékenységet, valamint a jelen egészségi állapotot és szociodemográfiai helyzetet vizsgáló kérdéseket is feltettünk. Statisztikai analízis: A mintában mért adatokat lokális polinom segítségével simítottuk, és a 60/70/80/90 éves korra adott szubjektív várakozásokkal hasonlítottuk össze. A szubjektív várakozásokat meghatározó tényezőket intervallumregresszióval becsültük. Eredmények: 1000 kitöltőtől 914 érvényes választ kaptunk. Az átlagéletkor (± szórás) 51,2 (± 15,2) év, a minta 55,8%-a nő volt. A férfiak között a fizetett munkát végzők (p<0,001), a nők között az informális gondozók aránya volt magasabb (p = 0,010). Az átlagos (± szórás) szubjektíve várható élettartam (81,0 ± 11,1 év) a minta statisztikailag várható élettartamánál (79,6 ± 3,7 év) 1,3 évvel volt hosszabb (p<0,001), azonban az átlagos, szubjektíve várható egészséges élettartam (64,6 ± 15,2 év) 5,3 évvel volt rövidebb a statisztikailag várható értéknél (70,0 ± 4,2 év; p<0,001). A szubjektíve várható egészséges élettartamot és gondozási igényt elsősorban a válaszadók jelenlegi egészségi állapota befolyásolta. Az életmód és a szubjektíve várható egészséges élettartam között nőknél nem találtunk összefüggés, míg a túlzott gyakorisággal alkoholt fogyasztó vagy elhízott férfiak hosszabb egészséges élettartamra számítottak. A szubjektív várakozások meghatározó tényezői jelentős nemi különbségeket mutattak. Következtetés: Az egészséggel, munkával és gondozással kapcsolatos szubjektív várakozások eltérőek a populációban mért valós adatoktól, és különböznek a nemek között. Orv Hetil. 2021; 162(23): 911-923.

SUMMARY

INTRODUCTION

The growing disease burden due to ageing populations poses a challenge on both individuals and societies.

OBJECTIVE

To explore the general population's subjective expectations concerning disability, care needs and employment at older ages.

METHOD

We conducted an online cross-sectional survey. We were the first to measure subjective health expectations using the Global Activity Limitation Indicator (GALI) of official health statistics. Respondents' actual status and subjective expectations concerning employment, care needs and informal caregiver status, self-perceived health and sociodemographic factors were queried.

STATISTICAL ANALYSIS

We estimated sample characteristics by local polynomial smoothing and compared with subjective expectations at ages of 60/70/80/90 years. Determinants of subjective expectations were analyzed via interval regression.

RESULTS

From 1000 subjects, 914 provided valid responses. Mean (± SD) age was 51.2 (± 15.2) years, and 55.8% of respondents were women. Paid employment was more frequent among men (p<0.001), while informal caregiver status among women (p = 0.010). Mean (± SD) subjective life expectancy (81.0 ± 11.1 years) was 1.3 years longer (p<0.001) than actuarial life-expectancy (79.6 ± 3.7 years), while mean subjective healthy life expectancy (sHLE) (64.6 ± 15.2 years) was 5.3 years shorter than actuarial healthy life expectancy (70.0 ± 4.2 years; p<0.001). sHLE and care needs were mainly determined by respondents' self-perceived health. Lifestyle risks were not associated with sHLE in women, while pervasive drinker or obese men expected longer healthy life span. Determinants of sHLE showed considerable gender differences.

CONCLUSION

Subjective expectations concerning health, employment and care needs differ from actual values of the general population, with considerable gender differences. Orv Hetil. 2021; 162(23): 911-923.

Subjective expectations regarding longevity and future health: a cross-sectional survey among patients with Crohn's disease

AIM

The aim was to explore the subjective health expectations (sHE) of patients with Crohn's disease (CD) for both the near future and the elderly.

METHOD

A cross-sectional survey was performed in four gastroenterology centres in Hungary. Consecutive outpatients with CD with age ≥ 18 were recruited. Socio-demographic and disease characteristics were recorded and the Crohn's Disease Activity Index (CDAI), Perianal Disease Activity Index, Patients' Global Assessment (PGA) and current pain visual analogue scale (VAS) were assessed. Subjective life expectancy (sLE) was explored and compared to statistical life expectancy. Current health and sHE for 1 year ahead and for ages 60/70/80/90 were assessed using the descriptive system of the EQ-5D-3L.

RESULTS

In all, 206 patients (54.9% men) with a mean age of 34.7 (SD 10.5 years) and disease duration of 10.5 (SD 6.3) years were studied. The CDAI score was 110.5 (SD 77.0) and 66% were treated by biologic drugs. Mean current EQ-5D-3L score was 0.80 (SD 0.17) and patients expected a 0.05 (SD 0.15) improvement within a year (P < 0.05). For ages 60/70/80/90, a mean EQ-5D-3L score of 0.59, 0.38, 0.10 and -0.12 respectively was provisioned. Age, current health status, sLE, PGA and pain VAS showed significant correlation with both 1-year and older age sHE (P < 0.05). Long-term sHE and sLE were negatively affected by the presence of extraintestinal manifestations but not by previous CD-related surgery.

CONCLUSION

Patients with CD expect severe deterioration in health in later life. Given that unrealistic sHE may affect patients' current quality of life and health behaviour, we encourage physicians to explore and consider CD patients' sHE in clinical care.

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.

Acceptable health and ageing: results of a cross-sectional study from Hungary

BACKGROUND

We aimed to investigate the acceptability of imperfect health states in relation to age in Hungary and analyse its determinants. Results are contrasted to age-matched actual population health scores and to findings from a previous study in The Netherlands.

METHODS

A cross-sectional online survey was performed. The same survey questions were applied as in a previous study in The Netherlands in order to enable inter-country comparisons. The descriptive system of the EQ-5D-3L health status questionnaire was used to assess the acceptability of moderate and severe health problems at ages from 30 to 80 by 10-year age-groups. Descriptive statistics were performed and linear regression analysis was used to investigate the determinants of acceptability.

RESULTS

Altogether 9281 (female 32.8%) were involved with mean age 36.0 years and EQ-5D-3L index score of 0.852 (SD 0.177). Acceptability of health problems increased with age, differed per health domain and with severity of the problems. Except for 'Self-care', moderate health problems were acceptable by the majority from age 70 and acceptability scores were lower than EQ-5D-3L population norms from that age. The lowest average acceptability age was found in the 'Anxiety/depression' and dimension the highest in the 'Self-care' dimension. Respondents' age, current health, and lifestyle were significant determinants (R²: 0.041-0.130). With a few minor exceptions in some health dimensions, acceptability levels and patterns were strikingly similar to the Dutch findings.

CONCLUSION

In Hungary, acceptability of health problems increases with age and the majority found severe problems never acceptable. Views on acceptability of health problems seem to be fairly generalizable across European countries with different health and economic indicators.

Health-related productivity of the Hungarian population. A cross-sectional survey

INTRODUCTION

Health disorders may affect negatively work productivity of individuals, leading to absence from work (absenteeism) and/or decreased functioning in the workplace (presenteeism).

AIM

To assess the health-related work productivity of the adult population in Hungary by the Work Productivity and Activity Impairment questionnaire (WPAI).

METHOD

A cross-sectional survey was performed in 2019 involving a sample (n = 2023) representative for the adult population of Hungary. Socio-demographic characteristics were recorded. Health-related productivity of the participants was assessed by the WPAI questionnaire, health status was measured by the EQ-5D-3L measurement tool and the Minimum European Health Module (MEHM).

STATISTICAL ANALYSES

Descriptive statistics were performed, subgroups were compared by Mann-Whitney and Kruskal-Wallis tests. Spearman's rank correlation was applied to analyze the relationship between WPAI, age and EQ-5D-3L index score.

RESULTS

Among those in a paid job (n = 1194, 59%), altogether 70 respondents (6%) were absent from work during the week before the survey, which resulted in an average 1.9 (SD = 8.5) work hours loss per week. Presenteeism occurred in 166 (14%) cases. The average absenteeism was 3.6%, presenteeism was 4.4%, and activity impairment in the total sample was 9.5%. Absenteeism did not correlate with age and did not differ significantly across socio-demographic subgroups. Presenteeism was the highest among actively working retired people, disability pensioners and part-time employees. Presenteeism correlated moderately (r = -0.379), absenteeism weakly (r = -0.113) with EQ-5D-3L index. Correlation was significant between activity impairment and age (r = 0.412) as well as the EQ-5D-3L index score (r = -0.592). All WPAI items showed significant worsening across MEHM status levels.

CONCLUSION

This is the first study in Hungary to present population reference values with the WPAI. Productivity loss due to presenteeism deserves special attention from the employers as well as from decision makers in the labour, health and social sectors. Orv Hetil. 2020; 161(36): 1522-1533.

Parallel Valuation of the EQ-5D-3L and EQ-5D-5L by Time Trade-Off in Hungary

OBJECTIVES

The wording of the Hungarian EQ-5D-3L and EQ-5D-5L descriptive systems differ a great deal. This study aimed to (1) develop EQ-5D-3L and EQ-5D-5L value sets for Hungary from a common sample, and (2) compare how level wording affected valuations.

METHODS

In 2018 to 2019, 1000 respondents, representative of the Hungarian general population, completed composite time trade-off tasks. Pooled heteroscedastic Tobit models were used to estimate value sets. Value set characteristics, single-level transition utilities from adjacent corner health states, and mean transition utilities for all possible health states were compared between the EQ-5D-3L and EQ-5D-5L.

RESULTS

Health utilities ranged from -0.865 to 1 for the EQ-5D-3L and -0.848 to 1 for the EQ-5D-5L. The relative importance of the 5 EQ-5D-5L dimensions was as follows: mobility, pain/discomfort, self-care, anxiety/depression, and usual activities. A similar preference ranking was observed for the EQ-5D-3L with self-care being more important than pain/discomfort. The EQ-5D-5L demonstrated lower ceiling effects (range of utilities for the mildest states: 0.900-0.958 [3L] vs 0.955-0.965 [5L]) and better consistency of mean transition utilities across the range of scale. Changing "confined to bed" (3L) to "unable to walk" (5L) had a large positive impact on utilities. Smaller changes with more negative wording in the other dimensions (eg, "very much anxious/feeling down a lot" [3L] vs "extremely anxious/depressed" [5L]) had a modest negative impact on utilities.

CONCLUSION

This study developed value sets of the EQ-5D-3L and EQ-5D-5L for Hungary. Our findings contribute to the understanding of how the wording of descriptive systems affects the estimates of utilities.

Did You Get What You Wanted? Patient Satisfaction and Congruence Between Preferred and Perceived Roles in Medical Decision Making in a Hungarian National Survey

OBJECTIVES

In a growing number of countries, patient involvement in medical decisions is considered a cornerstone of broader health policy agendas. This study seeks to explore public preferences for and experiences with participation in treatment decisions in Hungary.

METHODS

A nationally representative online panel survey was conducted in 2019. Outcome measures included the Control Preferences Scale for the preferred and actual role in the decision, the 9-item Shared Decision Making Questionnaire, and a Satisfaction With Decision numeric rating scale.

RESULTS

A total of 1000 respondents participated in the study, 424 of whom reported having had a treatment decision in the preceding 6 months. Overall, 8%, 18%, 51%, 19%, and 4% of the population preferred an active, semiactive, shared, semipassive, and passive role in decision making, respectively. Corresponding rates for perceived role were as follows: 9%, 15%, 35%, 26%, and 15%. Preferred and perceived roles matched for 52% of the population, whereas 32% preferred more and 16% less participation. Better health status, attaining role congruence, and higher 9-item Shared Decision Making Questionnaire scores were positively associated with satisfaction, accounting for 32% of the variation in Satisfaction With Decision scores (P < .05).

CONCLUSIONS

This study represents the first national survey on decisional roles in healthcare in Hungary and, more broadly, in Central and Eastern Europe. Shared decision making is the most preferred decisional role in Hungary; nevertheless, there is still room to improve patient involvement in decision making. It seems that patient satisfaction may be improved through tailoring the decisional role to reflect patients' preferences and through practices that encourage shared decision making.

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.

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.

Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response

Background

The COVID-19 pandemic is a complex global public health crisis presenting clinical, organisational and system-wide challenges. Different research perspectives on health are needed in order to manage and monitor this crisis. Performance intelligence is an approach that emphasises the need for different research perspectives in supporting health systems’ decision-makers to determine policies based on well-informed choices. In this paper, we present the viewpoint of the Innovative Training Network for Healthcare Performance Intelligence Professionals (HealthPros) on how performance intelligence can be used during and after the COVID-19 pandemic.

Discussion

A lack of standardised information, paired with limited discussion and alignment between countries contribute to uncertainty in decision-making in all countries. Consequently, a plethora of different non-data-driven and uncoordinated approaches to address the outbreak are noted worldwide. Comparative health system research is needed to help countries shape their response models in social care, public health, primary care, hospital care and long-term care through the different phases of the pandemic. There is a need in each phase to compare context-specific bundles of measures where the impact on health outcomes can be modelled using targeted data and advanced statistical methods. Performance intelligence can be pursued to compare data, construct indicators and identify optimal strategies. Embracing a system perspective will allow countries to take coordinated strategic decisions while mitigating the risk of system collapse.A framework for the development and implementation of performance intelligence has been outlined by the HealthPros Network and is of pertinence. Health systems need better and more timely data to govern through a pandemic-induced transition period where tensions between care needs, demand and capacity are exceptionally high worldwide. Health systems are challenged to ensure essential levels of healthcare towards all patients, including those who need routine assistance.

Conclusion

Performance intelligence plays an essential role as part of a broader public health strategy in guiding the decisions of health system actors on the implementation of contextualised measures to tackle COVID-19 or any future epidemic as well as their effect on the health system at large. This should be based on commonly agreed-upon standardised data and fit-for-purpose indicators, making optimal use of existing health information infrastructures. The HealthPros Network can make a meaningful contribution.

Validity of EQ-5D-5L, Skindex-16, DLQI and DLQI-R in patients with hidradenitis suppurativa

BACKGROUND

Numerous generic, skin- and disease-specific health-related quality of life (HRQoL) measures are available for patients with hidradenitis suppurativa (HS). Yet, robust psychometric evidence is lacking in many aspects of these outcome measures.

OBJECTIVES

We sought to determine convergent and known-groups validity of multiple generic and skin-specific HRQoL measures and to identify predictors of impaired HRQoL in patients with HS.

METHODS

Between 2017 and 2019, a multicentre cross-sectional study was carried out involving 200 consecutive HS patients. HRQoL outcomes included the EQ-5D-5L, EQ visual analogue scale (EQ VAS), Skindex-16, Dermatology Life Quality Index (DLQI) and DLQI-Relevant (DLQI-R). Disease severity was graded by HS-Physician's Global Assessment (HS-PGA) scale and the Modified Sartorius scale (MSS).

RESULTS

Overall, 77%, 56%, 51%, 46% and 28% reported problems in the pain/discomfort, usual activities, anxiety/depression, mobility and self-care dimensions of EQ-5D-5L. Mean ± SD EQ VAS, DLQI and DLQI-R scores were 64.29 ± 22.68, 11.75 ± 8.11 and 12.19 ± 8.33, respectively. Skindex-16 responses indicated that the emotional burden of HS (64.55 ± 29.28) far exceeded those of functioning (49.40 ± 34.70) and physical symptoms (46.74 ± 29.36). EQ-5D-5L, EQ VAS, DLQI, DLQI-R and Skindex-16 total scores had moderate or strong correlations with each other (range: |0.487| to |0.993|), weak or moderate correlations with HS-PGA (|0.350| to |0.433|) and weak correlations with MSS (|0.324| to |0.389|). DLQI-R slightly outperformed DLQI both in terms of convergent and known-groups validity. Being female, lower education level, more severe disease and genital involvement were associated with worse HRQoL (P < 0.05).

CONCLUSION

This study provides high-quality evidence that among skin-specific outcomes, the DLQI, DLQI-R and Skindex-16, and among generic instruments, the EQ-5D-5L are suitable to be used in HS patients. In future research, we recommend the use of existing well-validated HRQoL tools instead of developing new measures for each study. The development of composite measures that combine physician- and patient-reported outcomes is not supported by evidence in HS. [Correction added on 25 July 2020, after first online publication: in the Abstract section, the ± signs were missing and have been added to this version.].

Health Economic Publications From the Middle East and North Africa Region: A Scoping Review of the Volume and Methods of Research

Introduction

We reviewed the scope of countries, diseases, technologies, and methods involved in the health economic evaluations published in the Middle East and North Africa (MENA) region.

Methods

PRISMA guidelines were followed. A PubMed search was conducted up to December 15, 2019. English language full-text articles were included if they reported original research on humans; involved the local population from Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Syria, Tunisia, United Arab Emirates, or Yemen; reported costs; and involved a full or partial health economic analysis comparing alternative health technologies. Data on publication year, country of origin, disease area according to ICD-10, type of health technology, and applied methods were extracted.

Results

From 105 eligible articles, 57.1% were published between 2015 and 2019. Egypt (30.5%) and Saudi Arabia (27.6%) were the most frequently involved countries. Infectious diseases were most often studied (27.6%). The assessed technology was a system (eg, infection control, screening, coverage/access, hospital management, or healthcare delivery program) in 41.9% of studies. Cost-utility analysis (CUA) was the most frequent method (29.5%) and was growing rapidly. Health system perspective was adopted in 52.4% of studies, whereas societal perspective was scarce (8.6%). The majority of studies (46.7%) were published in Scimago Q1 journals. Over half of the studies (54.2%) did not report or did not have a funding source.

Conclusions

From 2015, health economic analysis became more frequent in the MENA region, providing input to value-based health policy and financing. For further growth, in addition to the development of the institutional background, valid and more standardized local cost and outcome data should be available.

Development of Population Tariffs for the CarerQol Instrument for Hungary, Poland and Slovenia: A Discrete Choice Experiment Study to Measure the Burden of Informal Caregiving

BACKGROUND

The CarerQol instrument can be used in economic evaluations to measure the care-related quality of life of informal caregivers. Tariff sets are available for Australia, Germany, Sweden, the Netherlands, the UK, and the USA.

OBJECTIVE

Our objective was to develop tariff sets for the CarerQol instrument for Hungary, Poland and Slovenia and to compare these with the existing value sets.

METHODS

Discrete-choice experiments were carried out in Hungary, Poland and Slovenia. Data were collected through an online survey between November 2018 and January 2019, using representative samples of 1000 respondents per country. Tariffs were calculated from coefficient estimates from panel mixed multinomial logit models with random parameters.

RESULTS

All seven CarerQol domains contributed significantly to the utility associated with different caregiving situations. Attributes valued highest were 'physical health' (tariffs for no problems were 15.6-21.8), 'mental health' (18.1-18.9) and 'fulfilment' (16.3-22.9). Value sets were comparable across the countries, although in Poland 'a lot of fulfilment' was valued higher (22.9) than in Hungary (16.3) and Slovenia (17.1). Compared with existing value sets, in the three Central European countries, 'fulfilment' was more important, whereas 'financial problems' were less important.

CONCLUSION

For the first time in the Central and Eastern European region, country-specific tariffs are now available for the Hungarian, Polish and Slovenian versions of the CarerQol instrument. This facilitates inclusion of the impact of informal care in economic evaluations. Our results can be used to develop and evaluate country-specific health policy strategies to support informal caregivers. The differences found in informal care preferences highlight the limited transferability of CarerQol tariffs across European regions.

Capability of well-being: validation of the Hungarian version of the ICECAP-A and ICECAP-O questionnaires and population normative data

Purpose

We aimed to develop and assess the psychometric characteristics of the Hungarian language version of two well-being capability measures, the ICEpop CAPability measure for Adults/Older people (ICECAP-A/-O), and to establish population norms.

Methods

A cross-sectional survey was performed involving a representative sample of the Hungarian population. Socio-demographic characteristics, the use and provision of informal care were recorded. The Minimum European Health Module (MEHM), EQ-5D-5L, WHO-5 well-being index, happiness and life satisfaction visual analogue scale (VAS), Satisfaction with Life Scale (SWLS) measures were applied alongside the ICECAP-A (age-group 18–64) and ICECAP-O (age-group 65+).

Results

Altogether 1568 and 453 individuals completed the ICECAP-A/-O questionnaires, respectively. Cronbach’s alpha was 0.86 for both measures (internal consistency). Subgroup analyses showed positive associations between ICECAP-A/-O scores and marital status, employment, income, health status (MEHM) and informal care use (construct validity). Pearson correlations were strong (r > 0.5; p < 0.01) between ICECAP-A/-O indexes and EQ-5D-5L, WHO-5, happiness and satisfaction VAS and SWLS scores (convergent validity). The age, education, and marital status were no longer significant in the multiple regression analysis. Test–retest average (SD) scores were 0.88 (0.11) and 0.89 (0.10) for the ICECAP-A, and equally 0.86 (0.09) for the ICECAP-O (reliability).

Conclusion

This is the first study to provide ICECAP-A/-O population norms. Also, it is the first to explore associations with WHO-5 well-being index which, alongside the MEHM measures, enable estimates from routinely collected international health statistics. The Hungarian ICECAP-A/-O proved to be valid and reliable measurement tools. Socio-demographic characteristics had minor or no impact on ICECAP-A/-O. Other influencing factors deserve further investigation in future research.

Electronic supplementary material

The online version of this article (10.1007/s11136-020-02542-1) contains supplementary material, which is available to authorized users.

Disease burden of patients with pemphigus from a societal perspective

Introduction: Cost-of-illness studies are widely used for healthcare decision-making; however, no such study is available in pemphigus from the societal perspective. The purpose of this analysis was to estimate annual cost-of-illness per patient with pemphigus from a societal perspective. Areas covered: Between 2014 and 2017, a multicenter, cross-sectional study was carried out. Consecutive pemphigus patients aged ≥18 years were recruited at all four university dermatology departments in Hungary. Direct and indirect costs were calculated, including costs for treatments, outpatient visits, hospital admissions, informal care, travel costs and productivity loss. Generalized linear model was used to analyze predictors of costs. Atotal of 109 patients with pemphigus enrolled with amean age of 57.1 (SD 14.8) years. Total cost per pemphigus patient was €3,995 (SD €7,526) peryear, with productivity loss (58%) and informal care (19%) accounting for the majority. Annual means of 189 and 41 working hours were lost due to absence from work and reduced productivity, respectively. Younger age and pemphigus vulgaris were associated with higher costs (p < 0.05). Expert opinion: This is the first cost-of-illness study applying the societal perspective in pemphigus. Our results indicate a substantial economic burden on society, mainly driven by productivity loss and informal care.

Quality of life in patients with atopic dermatitis

Atopic dermatitis (AD) is a chronic disease that impairs the patient's quality of life (QOL) given its impact on sleep, work productivity, emotional and mental health, physical activity, and social functioning. In this review, the most important findings about QOL in AD are summarized. We also aim to demonstrate the most commonly used methods for measuring QOL and to give practical advice on using these instruments in clinical practice and research. Furthermore, AD puts a great burden on patients, and the degree of this burden is related to disease severity.

Long-term efficacy and cost-effectiveness of infliximab as first-line treatment in rheumatoid arthritis: systematic review and meta-analysis

Introduction: Early biological treatment of rheumatoid arthritis (RA) may reverse the autoimmune response in some patients resulting in favorable long-term outcomes. Although the cost-effectiveness of this strategy has been questioned, biosimilar entries warrant the revision of clinical and pharmaco-economic evidence. Areas covered: We conducted a systematic review of randomized controlled trials (RCTs) published up to 24 May 2018 in Pubmed, EMBASE and Cochrane CENTRAL, comparing infliximab with non-biological therapy in patients with RA naïve to methotrexate. We performed meta-analyses for efficacy outcomes at month 6 and years 1 and 2. Six RCTs were identified, involving 1832 patients. At month 6 ACR70 response and remission, and at year 1 ACR20/ACR70 responses and remission were improved significantly with first-line infliximab versus control. The differences were not significant at year 2. We reviewed cost-utility studies, up to 31 October 2018 in PubMed, Cochrane CENTRAL and the CRD HTA databases. Four studies indicated that first-line use of originator infliximab calculated at 2005-2008 prices was not cost-effective. Expert opinion: We demonstrated the efficacy benefits of first-line infliximab therapy up to 1 year in methotrexate-naïve RA. We highlighted the need for standardized reporting of outcomes and conducting cost-effectiveness analyses of first-line biosimilar therapy in RA.

Patient-assigned health utility values for controlled and uncontrolled pemphigus vulgaris and foliaceus

BACKGROUND

The assessment of health-related quality of life (HRQoL) in patients with pemphigus is now of increasing interest due to the availability of highly effective new therapies. Preference-based HRQoL values or health utilities required for medical and financial decision-making are not yet available directly from pemphigus patients.

OBJECTIVE

To obtain health utility values for current health and hypothetical health states from the perspective of pemphigus patients.

METHODS

A cross-sectional questionnaire survey was carried out with pemphigus patients. Disease severity was rated by Autoimmune Bullous Skin Disorder Intensity Score (ABSIS). Patients were asked to evaluate their current health as well as three common hypothetical pemphigus health states [uncontrolled pemphigus vulgaris (PV), uncontrolled pemphigus foliaceus (PF) and controlled PV/PF] by using composite time trade-off (cTTO). Multiple regression was applied to explore determinants of utility values.

RESULTS

Responses of 108 patients (64.8% women, mean age 57.4 years) were analysed. Mean ABSIS score was 11.6. The mean utility values for the hypothetical uncontrolled PV, uncontrolled PF and controlled PV/PF health states were 0.41, 0.52 and 0.66 with cTTO. The mean cTTO scores for current health were higher compared with the hypothetical health states (0.76; P < 0.001). Patients with higher ABSIS, worse pain intensity scores and those having a caregiver reported lower utility values for current health (P < 0.05).

CONCLUSIONS

In pemphigus, HRQoL impairment expressed in utility values seems to be considerable, especially in comparison with other chronic dermatological conditions (e.g. psoriasis, atopic eczema, chronic hand eczema). These health utilities inform physicians, policymakers and funders about the overall extent of health loss in pemphigus and provide evidence to guide medical decisions and cost-effectiveness analyses of treatment strategies. Future research is needed to evaluate the caregiver burden in pemphigus.

EQ-5D studies in nervous system diseases in eight Central and East European countries: a systematic literature review

BACKROUND

Guidelines for economic analyses of health care technologies require local input data for reimbursement decisions in the countries of Central and Eastern Europe (CEE). The aim of this study was to systematically review and analyse the available empirical studies using the EQ-5D instrument as a measure of the health-related quality of life (HRQoL) in patients with neurological diseases.

METHODS

A systematic literature search was performed up to 1st April 2018 to identify relevant studies in eight selected CEE countries. Original articles reporting on studies of neurological diseases using the EQ-5D instrument were analysed.

RESULTS

Thirty-six articles, describing the results of 38 samples of patients and a total of 13,005 patients were included in the review. Most studies were from Hungary (44.4%) and none from Romania or Slovakia. EQ-5D utility scores were reported in 33 (91.7%) articles. In multiple sclerosis (MS) being the most represented disease, the average utility scores ranged from 0.49 in Austria to 0.80 in Poland with a weighted average of 0.69. EQ VAS scores for MS ranged from 39 in Czech Republic to 72.0 in Poland, with weighted average of 59.1. MS patients, together with epilepsy and essential tremor patients, estimated their HRQoL among the highest.

CONCLUSIONS

EQ-5D research activity in neurology has been increasing through the years in studied CEE countries. There are clinical areas with the significant social burden, such as a migraine or meningitis, that are completely lacking data, other areas, such as stroke or epilepsy, with very scarce data.

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.

The burden of informal caregiving in Hungary, Poland and Slovenia: results from national representative surveys

BACKGROUND

We aimed to investigate the burden of informal care in Hungary (HU), Poland (PL) and Slovenia (SI).

METHODS

A cross-sectional online survey was performed involving representative samples of 1000 respondents per country. Caregiving situations were explored; health status of informal caregivers/care recipients and care-related quality of life were assessed using the EQ-5D-5L and CarerQol-7D.

RESULTS

The proportion of caregivers was (HU/PL/SI) 14.9, 15.0 and 9.6%, respectively. Their mean age was 56.1, 45.6 and 48.0, and the average time spent on informal care was 27.6, 35.5 and 28.8 h/week. Chronic care was dominant (> 1 year: 78.5%, 72.0%, 74.0%) and care recipients were mainly (own/in-law) parents. Average EQ-5D-5L scores of care recipients were 0.53, 0.49 and 0.52. For Poland and Slovenia, EQ-5D-5L scores of informal care providers were significantly lower than of other respondents. Average CarerQol-7D scores were (HU/PL/SI) 76.0, 69.6 and 70.9, and CarerQol-VAS was 6.8, 6.4 and 6.6, respectively. Overall, 89, 87, and 84% of caregivers felt some or a lot fulfilment related to caring. Problems with combining tasks with daily activities were most important in Hungary and Slovenia. Women had a higher probability of being a caregiver in Hungary. CarerQol-7D scores were significantly associated with caregivers' EQ-5D-5L scores. In Hungary and Poland, living in a larger household was positively, while caring for patients with mental health problems was negatively associated with CarerQol-7D scores.

CONCLUSIONS

These first results from the Central and Eastern European region using preference-based measures for the evaluation of informal care can serve as a valuable input for health economic analyses.

Cost-of-illness studies in nine Central and Eastern European countries

BACKGROUND

To date, a multi-country review evaluating the cost-of-illness (COI) studies from the Central and Eastern European (CEE) region has not yet been published. Our main objective was to provide a general description about published COI studies from CEE.

METHODS

A systematic search was performed between 1 January 2006 and 1 June 2017 in Medline, EMBASE, The Cochrane Library, CINAHL, and Web of Science to identify all relevant COI studies from nine CEE countries. COI studies reporting costs without any restrictions by age, co-morbidities, or treatment were included. Methodology, publication standards, and cost results were analysed.

RESULTS

We identified 58 studies providing 83 country-specific COI results: Austria (n = 9), Bulgaria (n = 16), Croatia (n = 3), the Czech Republic (n = 10), Hungary (n = 24), Poland (n = 11), Romania (n = 3), Slovakia (n = 3), and Slovenia (n = 4). Endocrine, nutritional, and metabolic diseases (18%), neoplasms (12%), infections (11%), and neurological disorders (11%) were the most frequently studied clinical areas, and multiple sclerosis was the most commonly studied disease. Overall, 57 (98%) of the studies explicitly stated the source of resource use data, 45 (78%) the study perspective, 34 (64%) the costing method, and 24 (58%) reported at least one unit costs. Regardless of methodological differences, a positive relationship was observed between costs of diseases and countries' per capita GDP.

CONCLUSIONS

Cost-of-illness studies varied considerably in terms of methodology, publication practice, and clinical areas. Due to these heterogeneities, transferability of the COI results is limited across Central and Eastern European countries.

Towards a Central-Eastern European EQ-5D-3L population norm: comparing data from Hungarian, Polish and Slovenian population studies

BACKGROUND

EQ-5D-3L population data are available only from Hungary, Poland and Slovenia in Central and Eastern Europe (CEE). We aimed to compare the accessible studies and estimate a regional EQ-5D-3L population norm for CEE.

METHODS

A combined dataset using patient-level data of 8850 respondents was created. Based on the European Census of 2011, regional population norm estimates were calibrated by gender, age and education for the joint citizenry of 11 CEE countries.

RESULTS

EQ-5D-3L health states were available for 6926 and EQ VAS scores for 6569 respondents. Demographic characteristics of the samples reflected the recruitment methods (Hungary: online; Slovenia: postal survey, Poland: personal interviews). Occurrence of problems differed significantly by educational level in all the five dimensions (p < 0.001). The inter-country differences persisted after controlling for demographic variables. The estimated EQ-5D-3L index CEE norms with UK tariffs for age groups 18-24, 25-34, 35-44, 45-54, 55-64, 65-74 and 75 + were 0.911, 0.912, 0.871, 0.817, 0.762, 0.743 and 0.636 for males and 0.908, 0.888, 0.867, 0.788, 0.752, 0.68 and 0.584 for females, respectively. Estimates were provided also using Polish, European and Slovenian value sets.

CONCLUSIONS

Besides gender and age, education should be considered during the design and interpretation of quality-of-life studies in CEE. The estimated regional EQ-5D-3L population norm may be used as a benchmark by CEE countries with lack of local dataset. However, the substantial inter-country differences in health status and scarcity of data over age 65 call for harmonized country-specific EQ-5D-3L population norm studies in the CEE region.

Determinants of the acceptability of health problems in different ages: exploring a new application of the EQ VAS

BACKGROUND

We aimed to determine the acceptability of non-perfect health states with age using the EQ VAS and analyse the influencing factors.

METHODS

We conducted a cross-sectional survey on a convenience sample from the general population (N = 200). Respondents were asked to indicate on the EQ VAS the health states that are still acceptable for ages between 30 and 80 years in 10-year intervals (VAS acceptable health curve, AHC_vas). We recorded respondents' current health, health-related lifestyle, demographic background and explored the reference person they imagined when evaluating acceptable health states. We evaluated the AHC_vas by estimating linear multilevel models including a random intercept (estimated at age 30) and a random slope for age.

RESULTS

AHC_vas scores were available for 194 respondents (mean age = 42.8 years, range 19-93, 58% female). For ages of 30, 40, 50, 60, 70 and 80 years, mean AHC_vas scores were 93, 87, 80, 73, 65 and 57, respectively. The decline of AHC_vas was linear with age. Respondents' age, health status, lifestyle and health-related experiences, as well as their reference point taken (e.g. imagining themselves, others or both during the valuation task) influenced significantly the acceptability of health problems.

CONCLUSIONS

When measured with the EQ VAS, health problems were increasingly acceptable with age. Capturing well the individual variability in the assessment of acceptable health states at different ages, the EQ VAS is a useful addition to EQ-5D-3L descriptive system-based measures of acceptable health.

Determinants of the acceptability of health problems in different ages: exploring a new application of the EQ VAS

BACKGROUND

We aimed to determine the acceptability of non-perfect health states with age using the EQ VAS and analyse the influencing factors.

METHODS

We conducted a cross-sectional survey on a convenience sample from the general population (N = 200). Respondents were asked to indicate on the EQ VAS the health states that are still acceptable for ages between 30 and 80 years in 10-year intervals (VAS acceptable health curve, AHC_vas). We recorded respondents' current health, health-related lifestyle, demographic background and explored the reference person they imagined when evaluating acceptable health states. We evaluated the AHC_vas by estimating linear multilevel models including a random intercept (estimated at age 30) and a random slope for age.

RESULTS

AHC_vas scores were available for 194 respondents (mean age = 42.8 years, range 19-93, 58% female). For ages of 30, 40, 50, 60, 70 and 80 years, mean AHC_vas scores were 93, 87, 80, 73, 65 and 57, respectively. The decline of AHC_vas was linear with age. Respondents' age, health status, lifestyle and health-related experiences, as well as their reference point taken (e.g. imagining themselves, others or both during the valuation task) influenced significantly the acceptability of health problems.

CONCLUSIONS

When measured with the EQ VAS, health problems were increasingly acceptable with age. Capturing well the individual variability in the assessment of acceptable health states at different ages, the EQ VAS is a useful addition to EQ-5D-3L descriptive system-based measures of acceptable health.

Psychometric properties of the Hungarian version of the eHealth Literacy Scale

BACKGROUND

We adapted the eHealth Literacy Scale (eHEALS) for Hungary and tested its psychometric properties on a large representative online sample of the general population.

METHODS

The Hungarian version of eHEALS was developed using forward-backward translation. For the valuation study, 1000 respondents were recruited in early 2019 from a large online panel by a survey company. We tested internal consistency, test-retest reliability and construct and criterion validity using classical test theory, as well as item characteristics using an item-response theory (IRT) graded response model (GRM).

RESULTS

55% of respondents were female, and 22.1% were ≥ 65 years old. Mean eHEALS score was 29.2 (SD: 5.18). Internal consistency was good (Cronbach's α = 0.90), and test-retest reliability was moderate (intraclass correlation r = 0.64). We identified a single-factor structure by exploratory factor analysis, explaining 85% of test variance. Essential criteria for GRM analysis were met. Items 3 and 4 (search of health resources) were the least difficult, followed by items 5 and 8 (utilisation of health information), and then items 1 and 2 (awareness of health resources). Items 6 and 7 (appraisal of health resources) were most difficult. The measurement properties of eHEALS were not affected by gender, age, education or income levels. Female gender, older age, intensity of health information seeking, formal health education and visit at the electronic health-record website were associated with higher eHEALS scores, as well as best and worst self-perceived health states, BMI < 25 and participation at health screenings over the past year.

CONCLUSIONS

The Hungarian eHEALS is a useful and valid tool for measuring subjective eHealth literacy.

Subjective expectations regarding ageing: a cross-sectional online population survey in Hungary

BACKGROUND

We aimed to investigate individuals' subjective expectations regarding health and happiness alongside their provisions on life circumstances for older ages.

METHODS

A cross-sectional online survey was performed involving a representative sample (N = 1000; mean age 50.9, SD = 15.4; female 54.5%) in Hungary. Subjective expectations on health status (EQ-5D-3L/-5L, GALI, WHO-5), happiness (0-10 VAS), employment status, care time, and forms of care for ages 60, 70, 80, and 90 were surveyed.

RESULTS

Current mean EQ-5D-5L was 0.869 (SD = 0.164) and happiness was 6.7 (SD = 2.4). Subjective life expectancy was 80.9 (SD = 11.1), and median expected retirement age was 65. Mean expected EQ-5D-5L for ages 60/70/80/90 was 0.761/0.684/0.554/0.402, and no activity limitations (GALI) were expected by 64%/40%/18%/14%, respectively. Expected happiness score was 6.8/6.7/6.2/5.7, and a decrease in mental well-being (WHO-5) was provisioned. A substantial increase in drug expenses and care time was anticipated, but only 52% thought to have extra income besides pension. The great majority expected to be helped by the family (77%/72%/53%/40%) if needed. Educational level, GALI, and longevity expectations were significant predictors of EQ-5D-5L expectations using a standard 5% significance level of decision. Current happiness was major determinant of expected future happiness.

CONCLUSIONS

Individuals expect a significant deterioration of health with age but only a moderate decrease in happiness. Overestimation of future activity limitations suggests a gap between statistical and subjective healthy life expectancy. The majority expects to rely on informal care in the elderly. Raise in retirement age is underestimated. Our results can be used as inputs for economic modelling of labor force participation and ageing.

Patient and general population values for luminal and perianal fistulising Crohn's disease health states

BACKGROUND

In patients with Crohn's disease (CD), luminal disease activity paralleled by perianal fistulas may seriously impair health-related quality of life (HRQoL). Health utility values are not available from patients with CD that reflect the health loss associated with both luminal and perianal CD.

OBJECTIVE

To generate utilities for luminal and concomitant perianal fistulising CD health states directly from patients and from members of the general public.

METHODS

A cross-sectional survey was undertaken enrolling CD patients and a convenience sample of members of the general population. Respondents were asked to evaluate four common CD heath states [severe luminal disease (sCD), mild luminal disease (mCD), severe luminal disease with active perianal fistulas (sPFCD), and mild luminal disease with active perianal fistulas (mPFCD)] by 10-year time trade-off (TTO). In addition, patients assessed their current HRQoL by the TTO method.

RESULTS

Responses of 206 patients (40.8% with perianal fistulas) and 221 members of the general population were analysed. Mean ± SD utilities among patients for sPFCD, sCD, mPFCD and mCD states were 0.69 ± 0.33, 0.73 ± 0.31, 0.80 ± 0.29 and 0.87 ± 0.26. Corresponding values in the general public were: 0.59 ± 0.31, 0.65 ± 0.29, 0.80 ± 0.26 and 0.88 ± 0.25. Patients with active perianal fistulas, previous non-resection surgeries, and higher pain intensity scores valued their current health as worse (p < 0.05).

CONCLUSIONS

TTO is a feasible method to assess HRQoL in patients with perianal fistulising disease, often not captured by health status questionnaires. Utilities from this study are intended to support the optimization of treatment-related decision making in patients with luminal disease paralleled by active perianal fistulas.

Validity and reliability of the 9-item Shared Decision Making Questionnaire (SDM-Q-9) in a national survey in Hungary

BACKGROUND

The nine-item Shared Decision Making Questionnaire (SDM-Q-9) is one of the most frequently applied instruments for assessing patients' involvement in medical decision-making. Our objectives were to develop a Hungarian version of SDM-Q-9, to evaluate its psychometric properties and to compare its performance between primary and specialised care settings.

METHODS

In 2019, a sample of adults (n = 537) representative of the Hungarian general population in terms of age, gender and geographic region completed an online survey with respect to a recent health-related decision. Outcome measures included SDM-Q-9 and Control Preferences Scale-post (CPS_post). Item characteristics, internal consistency reliability and the factor structure of SDM-Q-9 were determined.

RESULTS

The overall ceiling and floor effects for SDM-Q-9 total scores were 12.3% and 2.2%, respectively. An excellent internal consistency reliability (Cronbach's alpha 0.925) was demonstrated. Exploratory factor analysis resulted in a one-factor model explaining 63.5% of the variance of SDM-Q-9. A confirmatory factor analysis supported the acceptability of this model. Known-groups validity was confirmed with CPS_post categories; mean SDM-Q-9 total scores were higher in the 'Shared decision' category (72.6) compared to both 'Physician decided' (55.1, p = 0.0002) and 'Patient decided' (57.2, p = 0.0086) categories. In most aspects of validity and reliability, there was no statistically significant difference between primary and specialised care.

CONCLUSIONS

The overall good measurement properties of the Hungarian SDM-Q-9 make the questionnaire suitable for use in both primary and specialised care settings. SDM-Q-9 may be useful for health policies targeting the implementation of shared decision-making and aiming to improve efficiency and quality of care in Hungary.

A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases

BACKGROUND

In the Central and Eastern European region, the British EQ-5D-3L value set is used commonly in quality of life (QoL) studies. Only Poland and Slovenia have country-specific weights. Our study aimed to investigate the impact of value set choice on the evaluation of 18 chronic conditions in Hungary.

METHODS

Patients' EQ-5D-3L index scores were calculated using the VAS-based Slovenian and European and the time-trade-off-based Polish and British value sets. We performed pairwise comparisons of mean index values by dimensions, diagnoses and age groups. We evaluated disease burden by comparing index values matched by age and gender in each condition with those of the general population of the CEE region in all four value sets.

RESULTS

Altogether, 2421 patients (55% female) were included in our sample with the average age of 55.87 years (SD = 17.75). The average Slovenian, European, Polish and British EQ-5D-3L scores were 0.598 (SD = 0.279), 0.661 (SD = 0.257), 0.770 (SD = 0.261) and 0.644 (SD = 0.279), respectively. We found highly significant differences in most diagnoses, with the greatest difference between the Polish and Slovenian index values in Parkinson's disease (0.265). Systematic pairwise comparison across all conditions and value sets revealed greatest differences between the time-trade-off (TTO) and VAS-based value sets as well as varying sensitivity of the disease burden evaluations of chronic disease conditions to the choice of value sets.

CONCLUSIONS

Our results suggest that the choice of value set largely influences the health state utility results in chronic diseases, and might have a significant impact on health policy decisions.

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.