Evidence map›Paper›PMID 35156181›Full record

ArticleThe patient2022

Determinants of Health Preferences Using Data from the Egyptian EQ-5D-5L Valuation Study.

Sahar Al Shabasy, Fatima Al Sayah, Maggie Abbassi, Samar Farid

Open access · hybridAbstract read
In one paragraph

Article in The patient, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Preferences for health-related quality of life: do they vary by age? A systematic literature review on the EQ-5D measure.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Pooled it
  2. Factors associated with health state valuations: a secondary analysis of an EQ-5D-3L valuation study from Jordan.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Valuation of the EQ-5D-3L in Jordan.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  5. Article
  6. What Makes the Time Tradeoff Tick? A Sociopsychological Explanation.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  7. Urban/rural differences in preferences for EQ-5D-5L health states: a study of a multi-ethnic region in China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Sahar Al ShabasyDepartment of Clinical Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini St., Cairo, 11562, Egypt.
Fatima Al SayahSchool of Public Health, University of Alberta, Edmonton, AB, Canada.
Maggie AbbassiDepartment of Clinical Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini St., Cairo, 11562, Egypt.
Samar FaridDepartment of Clinical Pharmacy, Faculty of Pharmacy, Cairo University, Kasr El-Aini St., Cairo, 11562, Egypt. samar.farid@pharma.cu.edu.eg.ORCID 0000-0002-6048-847X
Cairo University · EGUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to explore the impact of sociodemographic characteristics and illness experience on time trade-off (TTO)-based utility scores using data from the EQ-5D-5L Egyptian valuation study.

methodsData were from the Egyptian valuation study that was conducted using the adapted translated version of the EQ-VT to develop the Egyptian Tariff for the EQ-5D-5L based on preferences of the Egyptian population. Data were analysed using a series of univariate and multivariable censored linear regression models adjusted for severity of health states where the dependent variable was the TTO scores and the independent variables included age, sex, education, geographical region, dwelling, marital status, number of people in the household, employment status, having health insurance, number of chronic conditions, previous experience with illness, and self-rated health.

resultsAge, sex, education, marital status, dwelling, region of residence, health insurance and multimorbidity were significantly associated with health state valuations, while employment status, number of people in a household, religion, and previous experience with illness had non-significant associations.

conclusionAge, sex and marital status are the main determinants of health state valuation in the Egyptian population, a finding consistent with those from other countries. Knowing these factors will help tailor health services provided and improve patient-centered care.

Indexed as

Health StatusQuality of LifeEgyptHumansLinear ModelsSurveys and Questionnaires

Identifiers

PMID35156181
PMCPMC9365720
OpenAlexW4213221511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.