Janel Hanmer
Datos Biográficos
| ID | 5140100 |
|---|---|
| NOMBRE | Janel Hanmer |
| NOMBRES | Janel |
| APELLIDO | Hanmer |
| FIRMA | HANMER J |
| AFILIACIONES | University of Pittsburgh |
| ORCID | 0000-0001-6159-2482 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAS | 5 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2006 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Measures of healthcare decision-making ability in cognitive aging
Introduction: Declines in decision-making (DM) ability are often observed with increasing age and pose significant risk for negative health, financial, and functional outcomes. The Advancing Reliable Measurement in Cognitive Aging and Decision-making Ability (ARMCADA) research initiative aims to improve measurement of DM ability in aging to facilitate early detection of cognitive and functional decline. This scoping review summarizes the extant l…
Comparing patient-reported outcomes measurement information system® (PROMIS®)-16 domain scores with the PROMIS-29 and 5-item PROMIS cognitive function scores
The PROMIS-16 domain scores perform similarly to the longer PROMIS measures and can be interpreted in the same way. This similarity indicates that PROMIS-16 can be useful for research as a brief health-related quality-of-life profile measure
Agreement of PROMIS Preference (PROPr) scores generated from the PROMIS-29 + 2 and the PROMIS-16
PROPr scores from the 16-item PROMIS profile measure are similar to PROPr scores from the longer PROMIS-29 + 2
Development of an ultra-short measure of eight domains of health-related quality of life for research and clinical care
The PROMIS-16 Profile provides an attractive brief measure of eight distinct domains of health-related quality of life, representing an ideal screening tool for clinical care, which can help clinicians quickly identify distinct areas of concern that may require further assessment and follow-up. Further research is needed to confirm and extend these findings
Emotional Well-Being
Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr
There is some consistency in what the EQ-5D-5L, PROMIS-29 and PROPr measure. Differences between value set characteristics can be linked to differences what is measured and the valuation approaches used. This has implications for the use of each in assessing health outcomes, and the results can inform decisions about which instrument should be used in which context
Predicting Unplanned Health Care Utilization and Cost
OBJECTIVES: There is little literature describing if and how payers are utilizing patient-reported outcomes to predict future costs. This study assessed if Patient-reported Outcomes Measurement Information System (PROMIS) domain scores, collected in routine practice at neurology clinics, improved payer predictive models for unplanned care utilization and cost. STUDY DESIGN: Retrospective cohort analysis of private Health Plan-insured patients wit…
Cross-sectional validation of the PROMIS-Preference scoring system by its association with social determinants of health
Evaluation of options for presenting health-states from PROMIS® item banks for valuation exercises
Selection of key health domains from PROMIS® for a generic preference-based scoring system
A single question about a respondent’s perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions
Health Care Use, Health Behaviors, and Medical Conditions Among Individuals in Same-Sex and Opposite-Sex Partnerships
BACKGROUND: Prior research documents disparities between sexual minority and nonsexual minority individuals regarding health behaviors and health services utilization. However, little is known regarding differences in the prevalence of medical conditions. OBJECTIVES: To examine associations between sexual minority status and medical conditions. RESEARCH DESIGN: We conducted multiple logistic regression analyses of the Medical Expenditure Panel Su…
Interpersonal discrimination and health-related quality of life among black and white men and women in the United States
Mode of Administration Is Important in US National Estimates of Health-Related Quality of Life
BACKGROUND: It is unknown if different national surveys that vary in mode of administration yield similar national averages for health-related quality of life (HRQoL). PURPOSE: Examine HRQoL scores from 4 surveys representative of the noninstitutionalized US adult population for patterns related to age, gender, and mode of administration. METHODS: We use data from the Joint Canada/United States Survey of Health (JCUSH; telephone survey), 2002 Med…
US Norms for Six Generic Health-Related Quality-of-Life Indexes From the National Health Measurement Study
BACKGROUND: A number of indexes measuring self-reported generic health-related quality-of-life (HRQoL) using preference-weighted scoring are used widely in population surveys and clinical studies in the United States. OBJECTIVE: To obtain age-by-gender norms for older adults on 6 generic HRQoL indexes in a cross-sectional US population survey and compare age-related trends in HRQoL. METHODS: The EuroQol EQ-5D, Health Utilities Index Mark 2, Healt…
Relative Disutilities of 47 Risk Factors and Conditions Assessed with Seven Preference-Based Health Status Measures in a National U.S. Sample
BACKGROUND: Preference-based health measures yield summary scores that are compatible with cost-effectiveness analyses. There is limited comparative information, however, about how different measures weight health conditions in the U.S. population. METHODS: We examined data from 11,421 adults in the 2000 Medical Expenditure Panel Survey, a nationally representative sample of the U.S. general population, using information on sociodemographics (age…
Relative Disutilities of 47 Risk Factors and Conditions Assessed with Seven Preference-Based Health Status Measures in a National U.S. Sample
BACKGROUND: Preference-based health measures yield summary scores that are compatible with cost-effectiveness analyses. There is limited comparative information, however, about how different measures weight health conditions in the U.S. population. METHODS: We examined data from 11,421 adults in the 2000 Medical Expenditure Panel Survey, a nationally representative sample of the U.S. general population, using information on sociodemographics (age…
Mode of Administration Is Important in US National Estimates of Health-Related Quality of Life
BACKGROUND: It is unknown if different national surveys that vary in mode of administration yield similar national averages for health-related quality of life (HRQoL). PURPOSE: Examine HRQoL scores from 4 surveys representative of the noninstitutionalized US adult population for patterns related to age, gender, and mode of administration. METHODS: We use data from the Joint Canada/United States Survey of Health (JCUSH; telephone survey), 2002 Med…
US Norms for Six Generic Health-Related Quality-of-Life Indexes From the National Health Measurement Study
BACKGROUND: A number of indexes measuring self-reported generic health-related quality-of-life (HRQoL) using preference-weighted scoring are used widely in population surveys and clinical studies in the United States. OBJECTIVE: To obtain age-by-gender norms for older adults on 6 generic HRQoL indexes in a cross-sectional US population survey and compare age-related trends in HRQoL. METHODS: The EuroQol EQ-5D, Health Utilities Index Mark 2, Healt…
Interpersonal discrimination and health-related quality of life among black and white men and women in the United States
A single question about a respondent’s perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions
Health Care Use, Health Behaviors, and Medical Conditions Among Individuals in Same-Sex and Opposite-Sex Partnerships
BACKGROUND: Prior research documents disparities between sexual minority and nonsexual minority individuals regarding health behaviors and health services utilization. However, little is known regarding differences in the prevalence of medical conditions. OBJECTIVES: To examine associations between sexual minority status and medical conditions. RESEARCH DESIGN: We conducted multiple logistic regression analyses of the Medical Expenditure Panel Su…
Selection of key health domains from PROMIS® for a generic preference-based scoring system
Evaluation of options for presenting health-states from PROMIS® item banks for valuation exercises
Cross-sectional validation of the PROMIS-Preference scoring system by its association with social determinants of health
Predicting Unplanned Health Care Utilization and Cost
OBJECTIVES: There is little literature describing if and how payers are utilizing patient-reported outcomes to predict future costs. This study assessed if Patient-reported Outcomes Measurement Information System (PROMIS) domain scores, collected in routine practice at neurology clinics, improved payer predictive models for unplanned care utilization and cost. STUDY DESIGN: Retrospective cohort analysis of private Health Plan-insured patients wit…
Emotional Well-Being
Understanding the measurement relationship between EQ-5D-5L, PROMIS-29 and PROPr
There is some consistency in what the EQ-5D-5L, PROMIS-29 and PROPr measure. Differences between value set characteristics can be linked to differences what is measured and the valuation approaches used. This has implications for the use of each in assessing health outcomes, and the results can inform decisions about which instrument should be used in which context
Comparing patient-reported outcomes measurement information system® (PROMIS®)-16 domain scores with the PROMIS-29 and 5-item PROMIS cognitive function scores
The PROMIS-16 domain scores perform similarly to the longer PROMIS measures and can be interpreted in the same way. This similarity indicates that PROMIS-16 can be useful for research as a brief health-related quality-of-life profile measure
Agreement of PROMIS Preference (PROPr) scores generated from the PROMIS-29 + 2 and the PROMIS-16
PROPr scores from the 16-item PROMIS profile measure are similar to PROPr scores from the longer PROMIS-29 + 2
Development of an ultra-short measure of eight domains of health-related quality of life for research and clinical care
The PROMIS-16 Profile provides an attractive brief measure of eight distinct domains of health-related quality of life, representing an ideal screening tool for clinical care, which can help clinicians quickly identify distinct areas of concern that may require further assessment and follow-up. Further research is needed to confirm and extend these findings
Measures of healthcare decision-making ability in cognitive aging
Introduction: Declines in decision-making (DM) ability are often observed with increasing age and pose significant risk for negative health, financial, and functional outcomes. The Advancing Reliable Measurement in Cognitive Aging and Decision-making Ability (ARMCADA) research initiative aims to improve measurement of DM ability in aging to facilitate early detection of cognitive and functional decline. This scoping review summarizes the extant l…
Medicine (13 obras) · Psychology (12 obras) · Health Systems, Economic Evaluations, Quality of Life (11 obras) · Clinical Psychology (6 obras) · Environmental health (6 obras) · Gerontology (6 obras) · Patient-Reported Outcomes Measurement Information System (6 obras) · Psychometrics (6 obras) · Statistics (6 obras) · Clinical Psychology (5 obras)