Dennis A. Revicki
Research Subjects
Dennis A. Revicki has a total of 449 co-authors. Here are the top co-authors by number of shared publications:
- David Cella
Northwestern University, Evanston, USA
12 shared publications - Michael Camilleri
Clinical Enteric Neuroscience Translational and Epidemiological Research, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
7 shared publications Neesha Harnam
Center for Health Outcomes Research, United Biosource Corporation, Bethesda, USA
7 shared publications- Ron D. Hays
Division of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, USA
7 shared publications - Carolyn Emily Schwartz
DeltaQuest Foundation, Inc., Concord, USA
6 shared publications - Henry P. Parkman
Temple University Hospital Philadelphia Pennsylvania USA
6 shared publications
Latest Publications
- Open Access
- 7 December 2023
- Published by Springer Nature in PharmacoEconomics - Open
- Vol. 8 (1) , 49-63
United States Value Set for the Functional Assessment of Cancer Therapy-General Eight Dimensions (FACT-8D), a Cancer-Specific Preference-Based Quality of Life Instrument
Objectives To develop a value set reflecting the United States (US) general population’s preferences for health states described by the Functional Assessment of Cancer Therapy (FACT) eight-dimensions preference-based multi-attribute utility instrument (FACT-8D), derived from the FACT-General cancer-specific health-related quality-of-life (HRQL) questionnaire. Methods A US online panel was quota-sampled to achieve a general population sample representative by sex, age (≥ 18 years), race and ethnicity. A discrete choice experiment (DCE) was used to value health states. The valuation task involved choosing between pairs of health states (choice-sets) described by varying levels of the FACT-8D HRQL dimensions and survival (life-years). The DCE included 100 choice-sets; each respondent was randomly allocated 16 choice-sets. Data were analysed using conditional logit regression parameterized to fit the quality-adjusted life-year framework, weighted for sociodemographic variables that were non-representative of the US general population. Preference weights were calculated as the ratio of HRQL-level coefficients to the survival coefficient. Results 2562 panel members opted in, 2462 (96%) completed at least one choice-set and 2357 (92%) completed 16 choice-sets. Pain and nausea were associated with the largest utility weights, work and sleep had more moderate utility weights, and sadness, worry and support had the smallest utility weights. Within dimensions, more severe HRQL levels were generally associated with larger weights. A preference-weighting algorithm to estimate US utilities from responses to the FACT-General questionnaire was generated. The worst health state’s value was −0.33. Conclusions This value set provides US population utilities for health states defined by the FACT-8D for use in evaluating oncology treatments.
- 7 December 2023
- Published by Springer Nature in PharmacoEconomics - Open
- Vol. 8 (1) , 49-63
Open AccessUnited States Value Set for the Functional Assessment of Cancer Therapy-General Eight Dimensions (FACT-8D), a Cancer-Specific Preference-Based Quality of Life Instrument
Objectives To develop a value set reflecting the United States (US) general population’s preferences for health states described by the Functional Assessment of Cancer Therapy (FACT) eight-dimensions preference-based multi-attribute utility instrument (FACT-8D), derived from the FACT-General cancer-specific health-related quality-of-life (HRQL) questionnaire. Methods A US online panel was quota-sampled to achieve a general population sample representative by sex, age (≥ 18 years), race and ethnicity. A discrete choice experiment (DCE) was used to value health states. The valuation task involved choosing between pairs of health states (choice-sets) described by varying levels of the FACT-8D HRQL dimensions and survival (life-years). The DCE included 100 choice-sets; each respondent was randomly allocated 16 choice-sets. Data were analysed using conditional logit regression parameterized to fit the quality-adjusted life-year framework, weighted for sociodemographic variables that were non-representative of the US general population. Preference weights were calculated as the ratio of HRQL-level coefficients to the survival coefficient. Results 2562 panel members opted in, 2462 (96%) completed at least one choice-set and 2357 (92%) completed 16 choice-sets. Pain and nausea were associated with the largest utility weights, work and sleep had more moderate utility weights, and sadness, worry and support had the smallest utility weights. Within dimensions, more severe HRQL levels were generally associated with larger weights. A preference-weighting algorithm to estimate US utilities from responses to the FACT-General questionnaire was generated. The worst health state’s value was −0.33. Conclusions This value set provides US population utilities for health states defined by the FACT-8D for use in evaluating oncology treatments.
- 1 January 2023
- Published by Springer Nature
- p. 5743-5745
Quality of Life Research
- 1 January 2023
- Published by Springer Nature
- p. 5790-5794
Quality-Adjusted Time Without Symptoms and Toxicity (Q-TWiST)
- 1 January 2023
- Published by Springer Nature
- p. 5790-5794
Quality-Adjusted Time Without Symptoms and Toxicity (Q-TWiST)
- 8 December 2022
- Published by Springer Nature
- p. 1-3
Inter-rater Reliability
- 8 December 2022
- Published by Springer Nature
- p. 1-3
Quality of Life Research
- Open Access
- 1 January 2021
- Published by Elsevier in The Journal of Allergy and Clinical Immunology: In Practice
- Vol. 9 (1) , 400-409.e1
Psychometric Properties of the Asthma Symptom Index in Patients with Severe Asthma
- 1 January 2021
- Published by Elsevier in The Journal of Allergy and Clinical Immunology: In Practice
- Vol. 9 (1) , 400-409.e1
Open AccessPsychometric Properties of the Asthma Symptom Index in Patients with Severe Asthma
- Open Access
- 8 October 2020
- Published by Springer Nature in Journal of Patient-Reported Outcomes
- Vol. 4 (1) , 1-11
Reliability and validity of the elements of desire questionnaire in premenopausal women with hypoactive sexual desire disorder
Background: The Elements of Desire Questionnaire (EDQ) is a patient-reported outcome (PRO) measure developed to evaluate sexual desire and was included in two identically designed phase 3 clinical trials (RECONNECT) as an exploratory endpoint. The EDQ was developed based on a literature review, qualitative research with patients with hypoactive sexual desire disorder (HSDD), and input from clinical experts. This instrument is intended to be used to collect efficacy data in clinical trials evaluating potential treatments for HSDD. The objective of this study was to evaluate the measurement properties of both the monthly and daily recall versions of the EDQ during the RECONNECT trials. Methods: Participants completed the EDQ daily version for 7 consecutive days prior to selected monthly clinic visits. The monthly recall version was completed at each monthly clinic visit. The analysis population consisted of all subjects with Female Sexual Function Index (FSFI) data at baseline and ≥ 1 follow-up visit. Results: At baseline, 1144 and 676 subjects completed the monthly and daily recall EDQs, respectively. The EDQ scores had good internal consistency and test-retest reliability. Monthly and daily recall EDQ scores were correlated with FSFI-desire domain scores at baseline and month 3. Scores from the monthly and daily recall versions were also correlated. After 6 months, there was a significantly greater improvement for bremelanotide versus placebo in both the monthly and daily recall versions (both P < 0.0001). Conclusions: The results demonstrated that EDQ exhibited good reliability, validity, and sensitivity to change. Consistent with other validated PRO measures of sexual desire, the EDQ provides additional insights into sexual desire. Trial registration: NCT02338960 and NCT02333071 (RECONNECT studies).
- 8 October 2020
- Published by Springer Nature in Journal of Patient-Reported Outcomes
- Vol. 4 (1) , 1-11
Open AccessReliability and validity of the elements of desire questionnaire in premenopausal women with hypoactive sexual desire disorder
Background: The Elements of Desire Questionnaire (EDQ) is a patient-reported outcome (PRO) measure developed to evaluate sexual desire and was included in two identically designed phase 3 clinical trials (RECONNECT) as an exploratory endpoint. The EDQ was developed based on a literature review, qualitative research with patients with hypoactive sexual desire disorder (HSDD), and input from clinical experts. This instrument is intended to be used to collect efficacy data in clinical trials evaluating potential treatments for HSDD. The objective of this study was to evaluate the measurement properties of both the monthly and daily recall versions of the EDQ during the RECONNECT trials. Methods: Participants completed the EDQ daily version for 7 consecutive days prior to selected monthly clinic visits. The monthly recall version was completed at each monthly clinic visit. The analysis population consisted of all subjects with Female Sexual Function Index (FSFI) data at baseline and ≥ 1 follow-up visit. Results: At baseline, 1144 and 676 subjects completed the monthly and daily recall EDQs, respectively. The EDQ scores had good internal consistency and test-retest reliability. Monthly and daily recall EDQ scores were correlated with FSFI-desire domain scores at baseline and month 3. Scores from the monthly and daily recall versions were also correlated. After 6 months, there was a significantly greater improvement for bremelanotide versus placebo in both the monthly and daily recall versions (both P < 0.0001). Conclusions: The results demonstrated that EDQ exhibited good reliability, validity, and sensitivity to change. Consistent with other validated PRO measures of sexual desire, the EDQ provides additional insights into sexual desire. Trial registration: NCT02338960 and NCT02333071 (RECONNECT studies).