EQ-5D-5L: a value set for Romania

Olariu, Elena; Mohammed, Wael; Oluboyede, Yemi; Căplescu, Raluca; Niculescu-Aron, Ileana Gabriela; Paveliu, Marian Sorin; Vale, Luke

doi:10.1007/s10198-022-01481-7

Cited by 10 publications

(9 citation statements)

References 45 publications

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“…Respondents’ answers to EQ-5D-3L and 5L were converted into index values using the recently developed value sets for Romania for the two questionnaires [ 12 , 13 ]. Descriptive statistics such as percentages and standard errors were calculated for each level in all five dimensions for both questionnaires for the whole sample and stratified by age groups, sex and place of residence.…”

Section: Methodsmentioning

confidence: 99%

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Population norms for the EQ-5D-3L and EQ-5D-5L in Romania

Olariu

Căplescu

Vale

et al. 2023

Health Qual Life Outcomes

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Background The majority of patient reported outcome measures (PROMs) don’t have population norms in Romania. This is the case with the EQ-5D as well. Therefore, we aimed to estimate population norms for the Romanian versions of the EQ-5D-5L, EQ-5D-3L, their indexes, and the EQ-VAS. Methods A cross-sectional survey was conducted in all regions of Romania from November 2018 to November 2019. A three-stage probability sampling procedure stratified by region and settlement size was used to select a representative sample. Interviews were computer-assisted and conducted in respondents’ homes by trained interviewers. Health status was assessed with the EQ-5D-5L, the EQ-5D-3L and the EQ VAS. Descriptive statistics were used to estimate population norms by age groups and sex for the EQ-5D-5L, the EQ-5D-3L, their indexes and the EQ VAS. Population norms were weighted using survey weights. Indexes for the EQ-5D questionnaires were estimated using the recently developed Romanian value sets. Results Data from 1,649 interviews was analysed in the present study. Survey weights were used so that sex and place of residence ratios for the weighted sample matched the Romanian general population distribution. Participants’ mean age was 47.4 years (SE = 1.157) and 50.3% of them reported being in good health. The dimension for which people reported the highest number of problems for both questionnaires was the pain/discomfort dimension. Men aged 35 plus reported fewer problems with pain/discomfort than women for both the EQ-5D-5L and EQ-5D-3L. Health decreased with age as shown by the decrease from age group 18–24 to age group 75 plus in the indexes of both questionnaires: from 0.977 (SE = 0.005) to 0.765 (SE = 0.017) for EQ-5D-5L and from 0.981 (SE = 0.005) to 0.784 (SE = 0.019) for EQ-5D-3L. There was 29.9 points drop in the EQ VAS score between the youngest and oldest group. Conclusions Population norms for the Romanian versions of the EQ-5D-5L, EQ-5D-3L, their indexes, and the EQ VAS are now available. These can now be used as reference values by healthcare professionals, researchers and decision-makers leading to a further development of health-related quality of life research in Romania.

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Section: Methodsmentioning

confidence: 99%

“…Currently two versions of the questionnaire are available, the EQ-5D-3L and EQ-5D-5L, with the latter having improved psychometric properties [ 9 , 10 ]. In Romania, the EQ-5D has mainly been used in studies on different patient populations [ 11 ] and value sets for both EQ-5D-3L and 5L have recently been developed [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Population norms for the EQ-5D-3L and EQ-5D-5L in Romania

Olariu

Căplescu

Vale

et al. 2023

Health Qual Life Outcomes

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“…We included only one health-related quality-of-life measure to avoid respondent fatigue [45,46], as our survey already had over 20 items. Although this instrument has been validated and used in different populations (values in Romania have been made recently available [47]) and study designs, taking into account the multidimensional impact of the disease (on adult and pediatric patients), an instrument that is dermatology specific (such as DLQI -Dermatology Life Quality Index [48], the most common scale used in patients diagnosed with dermatologic diseases), hair disease-specific (such as Scalpdex -with a scoring system between 0 and 4; composed of 23 items contained in 3 subscales [49]) or diseasespecific (such as Alopecia Areata Symptom Impact Scale -with a scoring system based on a visual analog scale with 10 points; composed of 13 items contained in 3 subscales [50]). In addition, instruments quantifying the impact of the alopecia-related burden on mental health (due to anxiety or depression), such as the Hospital Anxiety and Depression scale (for hospitalized patients), Beck Depression and Anxiety Inventories, should be included to capture all the possible impacts [25].…”

Section: Discussionmentioning

confidence: 99%

The Economic Burden of Alopecia Areata in Romania

Strilciuc,

Olteanu,

Lăpădatu

et al. 2024

Preprint

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Background: Alopecia areata is a skin disease that affects patients’ quality of life and social participation. Objective: To quantify the economic burden of alopecia areata and to map health services utilization among patients with alopecia areata.Materials and methods: Prospective and retrospective data sources, using both top-down and bottom-up approaches to estimate direct and indirect costs and to map health service utilization associated with alopecia areata in Romania in 2022.Results: In our study, the total cost of alopecia areata in Romania for 2022 was estimated at 46.289 million EUR for adult patients and 1.89 million EUR for pediatric patients, encompassing both mild and severe cases. The breakdown reveals that both mild and severe cases incurred the highest costs due to associated expenses, medical services, and treatment. As for children, the highest alopecia-related expenses were represented by associated expenses and treatment costs (for both severity levels).Conclusion: This is the first study to quantify the burden of alopecia areata in Romania. Additional studies are needed due to a low sample size. However, considering our estimations based on external data sources, alopecia areata should be considered when planning health service distribution.

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“…Respondents' answers to EQ-5D-3L and 5L were converted into index values (utilities) using the recently developed value sets for Romania for the two questionnaires [12,13]. Descriptive statistics such as percentages and standard errors were calculated for each level in all ve dimensions for both questionnaires for the whole sample and strati ed by age groups, sex and place of residence.…”

Section: Discussionmentioning

confidence: 99%

Population norms for the Romanian version of EQ-5D-3L and EQ-5D- 5L

Olariu

Căplescu

Vale

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Background The majority of patient reported outcome measures (PROMs) don’t have population norms in Romania. This is the case with the EQ-5D as well. Therefore, we aimed to estimate population norms for the Romanian versions of the EQ-5D-5L, EQ-5D-3L, their indexes, and the EQ-VAS. Methods A cross-sectional survey was conducted in all regions of Romania from November 2018 to November 2019. A three-stage probability sampling procedure stratified by region and settlement size was used to select a representative sample. Interviews were computer-assisted and conducted in respondents’ homes by trained interviewers. Health status was assessed with the EQ-5D-5L, the EQ-5D-3L and the EQ-VAS. Descriptive statistics were used to estimate population norms by age groups and sex for the EQ-5D-5L, the EQ-5D-3L, their indexes and the EQ-VAS. Population norms were weighted using survey weights. Indexes for the EQ-5D questionnaires were estimated using the recently developed Romanian value sets. Results Data from 1,649 interviews was analysed in the present study. Survey weights were used so that sex and place of residence ratios for the weighted sample matched the Romanian general population distribution. Participants’ mean age was 47.5 years (SD = 17.9) and 50.3% of them reported being in good health. The dimension for which people reported the fewest problems for both questionnaires was the self-care dimension. Men aged 35 plus reported fewer problems with pain/discomfort than women for both the EQ-5D-5L and EQ-5D-3L. Health decreased with age as shown by the decrease from age group 18–24 to age group 75 plus in the indexes of both questionnaires: from 0.978 (SD = 0.048) to 0.774 (SD = 0.168) for EQ-5D-5L and from 0.981 (SD = 0.053) to 0.790 (0.164) for EQ-5D-3L. There was 29.6 points drop in the EQ-VAS score between the youngest and oldest group. Conclusions Population norms for the Romanian versions of the EQ-5D-5L, EQ-5D-3L, their indexes, and the EQ-VAS are now available. These can now be used as reference values by healthcare professionals, researchers and decision-makers leading to a further development of health-related quality of life research in Romania.

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EQ-5D-5L: a value set for Romania

Cited by 10 publications

References 45 publications

Population norms for the EQ-5D-3L and EQ-5D-5L in Romania

Population norms for the EQ-5D-3L and EQ-5D-5L in Romania

The Economic Burden of Alopecia Areata in Romania

Population norms for the Romanian version of EQ-5D-3L and EQ-5D- 5L

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