ArticleMedical care2014
Demographic differences in health preferences in the United States.
Article in Medical care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
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Who cites it
19 citing papers in PubMed, 60 citations in OpenAlex.
- Psychological Distress Mediates the Association between Food Insecurity and Suboptimal Sleep Quality in Latinos with Type 2 Diabetes Mellitus.The Journal of nutrition · 2016Trial
- The Monthly Cycling of Food Insecurity in Latinas at Risk for Diabetes: Methods, Retention, and Sample Characteristics for a Microlongitudinal Design.JMIR formative research · 2025Article
- From simple to even simpler, but not too simple: a head-to-head comparison of the Better-Worse and Drop-Down methods for measuring patient health status.BMC medical research methodology · 2023Article
- Article
- Determinants of Health Preferences Using Data from the Egyptian EQ-5D-5L Valuation Study.The patient · 2022Article
- Do health preferences differ among Asian populations? A comparison of EQ-5D-5L discrete choice experiments data from 11 Asian studies.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Article
- Assessing health-related quality of life in cancer survivors: factors impacting on EORTC QLU-C10D-derived utility values.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020Article
- Using EQ-5D Data to Measure Hospital Performance: Are General Population Values Distorting Patients' Choices?Medical decision making : an international journal of the Society for Medical Decision Making · 2020Article
- Use of PROMIS-29® in US Veterans: Diagnostic Concordance and Domain Comparisons with the General Population.Journal of general internal medicine · 2019Article
- Evidence-based sizing of non-inferiority trials using decision models.BMC medical research methodology · 2019Article
- Beck Depression Inventory-II: Factor Analyses with Three Groups of Midlife Women of African Descent in the Midwest, the South, and the U.S. Virgin Islands.Issues in mental health nursing · 2018Article
- Medication Nonadherence: The Role of Cost, Community, and Individual Factors.Health services research · 2017Article
- Patient Preferences in Treatment Choices for Early-Stage Lung Cancer.The Annals of thoracic surgery · 2016Article
- Determinants of time trade-off valuations for EQ-5D-5L health states: data from the Canadian EQ-5D-5L valuation study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016Article
- Is bad living better than good death? Impact of demographic and cultural factors on health state preference.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016Article
- Patient preference and decision-making for initiating metastatic colorectal cancer medical treatment.Journal of cancer research and clinical oncology · 2016Article
- Adjuvant treatment for older women with invasive breast cancer.Women's health (London, England) · 2016Review
- US valuation of health outcomes measured using the PROMIS-29.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe United States has a culturally and demographically diverse populace, and the aim of this study was to examine differences in health preferences by sex, age, ethnicity, and race.
methodsWe assessed preferences for health outcomes defined by the PROMIS-29 survey in a sample of the US population. On the basis of the survey's 540 paired-comparisons trading off lifespan and 7 domains of health-related quality of life (HRQoL), we compared the choices between men and women, adults age 18-54 years and 55 years and older, Hispanics and non-Hispanics, and non-Hispanic blacks and whites. For each subgroup, we estimated the value of 122 HRQoL outcomes on a quality-adjusted life year scale and tested for subgroup differences.
resultsCompared with men, women preferred reduced lifespan over losses in HRQoL, particularly for depression. Compared with the younger adults, older adults preferred reduced lifespan over the symptoms of depression, anxiety, and fatigue. Compared with non-Hispanic whites, Hispanics preferred reduced lifespan over depression and sleep disturbance, but held similar values on losses in physical functioning. Among non-Hispanics, blacks preferred reduced lifespan over losses in ability to climb stairs and to fall asleep compared with whites, but held similar values on mental health outcomes.
conclusionsWith the growing emphasis on patient-centeredness and culturally sensitive treatment, it is important to recognize the diversity in values placed on potential losses in HRQoL, particularly mental health outcomes. Demographic differences in preferences may influence comparative or cost effectiveness of treatments as perceived by one or another subgroup.
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Registered trials
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.