Effects of Physical and Mental Health on Health-State Preferences
Dados Bibliográficos
| ID | 9099290 |
|---|---|
| Autores | Clairice T Veit (RAND Corporation), Barbara Rose (RAND Corporation), Barbara J Rose, John E Ware (0000-0002-0744-2149, RAND Corporation) |
| Ano | 1982 |
| Volume | 20 |
| Fascículo | 4 |
| Páginas | 386-401 |
| Data de publicação | 1982-04-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-198204000-00004 |
| PMID | 7078295 |
| OpenAlex | W2020863083 |
| Idioma | EN |
| Citações recebidas | 10 |
| Referências citadas | 10 |
Studies concerned with measuring values and preferences for health states and health status components have typically employed "direct" scaling techniques that require conclusions to be based on definition. Problems and limitations of direct scaling are discussed. The algebraic modeling approach is new to health services research; it emphasizes testing models of how respondents combine stimulus information. The model specifies the causal relationship between the stimulus information and the responses. Subjective stimulus and response scales are derived from the model when the data satisfy the model's predictions. Thus, the validity of the subjective scale values rests on the validity of the model. In the present research, university students judged preferences between health states, each described by a physical (degree of physical activity) and mental (level of happiness/depression) component. The object of the research was to determine the subjective trade-offs between physical and mental health values in these preference judgments. For all respondents, preference judgments were consistent with the predictions of a preference model that yielded interval scales of the health states. Also, there were systematic interactions between physical and mental values, so that when a health state was bad on one component (e.g., poor physical health), the other component had less of an effect. However, results revealed individual differences in emphasis placed on the physical and mental health components. Advantages of replacing presently used measurement techniques with the algebraic modeling approach in general population studies are discussed
Cognitive psychology · Econometrics · Environmental health · Happiness · Mental health · Physical health · Population · Psychiatry · Stimulus (psychology) · Behavioral Health and Interventions · Health disparities and outcomes · Mathematics · Medicine · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology
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Methodology for measuring health-state preferences—II
Psychosocial Status in Chronic Illness
Development of a direct weighting procedure for quality of life domains
Predicting patients' utilities from quality of life items
Elderly Adults' Preferences for Life-Sustaining Treatments
Exploring health preferences in sociodemographic and health related groups through the paired comparison of the items of the Nottingham Health Profile
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The utility of different health states as perceived by the general public
Scaling indices of disablement
Disability
Source credibility in social judgment
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The Meaning of Health
Measuring the importance of cues in judgment for individuals
A study of subjective evaluation models
The new psychophysics
Toward an Operational Definition of Health
| Obras citantes distintas | 10 |
|---|---|
| Citações por ano | 0,24 |
| Intervalo de citações | 1984 - 2018 (35) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 8 |