Dataset Information

Understanding treatment burden in hemophilia: development and validation of the Hemophilia Treatment Experience Measure (Hemo-TEM).

ABSTRACT:

Background

To capture the broad range of treatment burden issues experienced by adolescent and adult people with hemophilia (PWH), the Hemophilia Treatment Experience Measure (Hemo-TEM) was developed. We describe the development of this new hemophilia-specific patient-reported outcome (PRO) measure including concept elicitation, cognitive debriefing, and psychometric validation.

Results

Concept elicitation interviews were conducted with 5 clinical experts and 30 adult PWH in the United States (US). The qualitative analysis of these interviews and a review of the literature informed the PRO measure development. The project team reviewed concept endorsement rates and generated a 27-item preliminary version of the Hemo-TEM. Cognitive debriefing interviews were conducted to ensure participant understanding and item relevance in samples of (adolescent (n = 20) and adult (n = 14)) PWH in the US. The refined, validation-ready version of the Hemo-TEM included 30 items. Lastly, data from 3 clinical trials comprised the 4 analysis sets used for the psychometric validation with a sample size of N = 88. Item reduction dropped 4 items resulting in a final 26-item measure. Factor analysis generated 5 domains in the Hemo-TEM [injection difficulties (3 items), physical impact (6 items), treatment bother (7 items), interference with daily life (4 items), and emotional impact (6 items)] and a total score. All scores were reliable [internally consistent (0.84-0.88)]. For convergent validity, with the exception of one domain, all hypothesized associations were met. Preliminary sensitivity to change effect sizes were between - 0.30 and - 0.70. Meaningful change thresholds ranged from 6 points (physical impact and emotional impact) to 10 points (treatment bother) with 8 points for the Hemo-TEM total score.

Conclusions

Findings from the concept elicitation, cognitive debriefing, and psychometric validation phases provide evidence that the Hemo-TEM is a well-designed, valid, and reliable measure of the burden of hemophilia treatment, including treatment impact on adolescent and adult PWH.

SUBMITTER: Brod M

PROVIDER: S-EPMC9950311 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Understanding treatment burden in hemophilia: development and validation of the Hemophilia Treatment Experience Measure (Hemo-TEM).

Brod Meryl M Bushnell Donald M DM Neergaard Jesper Skov JS Waldman Laura Tesler LT Busk Anne Kirstine AK

Journal of patient-reported outcomes 20230223 1

<h4>Background</h4>To capture the broad range of treatment burden issues experienced by adolescent and adult people with hemophilia (PWH), the Hemophilia Treatment Experience Measure (Hemo-TEM) was developed. We describe the development of this new hemophilia-specific patient-reported outcome (PRO) measure including concept elicitation, cognitive debriefing, and psychometric validation.<h4>Results</h4>Concept elicitation interviews were conducted with 5 clinical experts and 30 adult PWH in the U ...[more]

PMID: 36821002

Similar Datasets

Project description:BACKGROUND:Individual pharmacokinetic assessment is a critical component of tailored prophylaxis for hemophilia patients. Population pharmacokinetics allows using individual sparse data, thus simplifying individual pharmacokinetic studies. Implementing population pharmacokinetics capacity for the hemophilia community is beyond individual reach and requires a system effort. OBJECTIVE:The Web-Accessible Population Pharmacokinetic Service-Hemophilia (WAPPS-Hemo) project aims to assemble a database of patient pharmacokinetic data for all existing factor concentrates, develop and validate population pharmacokinetics models, and integrate these models within a Web-based calculator for individualized pharmacokinetic estimation in patients at participating treatment centers. METHODS:Individual pharmacokinetic studies on factor VIII and IX concentrates will be sourced from pharmaceutical companies and independent investigators. All factor concentrate manufacturers, hemophilia treatment centers (HTCs), and independent investigators (identified via a systematic review of the literature) having on file pharmacokinetic data and willing to contribute full or sparse pharmacokinetic data will be eligible for participation. Multicompartmental modeling will be performed using a mixed-model approach for derivation and Bayesian forecasting for estimation of individual sparse data. NONMEM (ICON Development Solutions) will be used as modeling software. RESULTS:The WAPPS-Hemo research network has been launched and is currently joined by 30 HTCs from across the world. We have gathered dense individual pharmacokinetic data on 878 subjects, including several replicates, on 21 different molecules from 17 different sources. We have collected sparse individual pharmacokinetic data on 289 subjects from the participating centers through the testing phase of the WAPPS-Hemo Web interface. We have developed prototypal population pharmacokinetics models for 11 molecules. The WAPPS-Hemo website (available at www.wapps-hemo.org, version 2.4), with core functionalities allowing hemophilia treaters to obtain individual pharmacokinetic estimates on sparse data points after 1 or more infusions of a factor concentrate, was launched for use within the research network in July 2015. CONCLUSIONS:The WAPPS-Hemo project and research network aims to make it easier to perform individual pharmacokinetic assessments on a reduced number of plasma samples by adoption of a population pharmacokinetics approach. The project will also gather data to substantially enhance the current knowledge about factor concentrate pharmacokinetics and sources of its variability in target populations. TRIAL REGISTRATION:ClinicalTrials.gov NCT02061072; https://clinicaltrials.gov/ct2/show/NCT02061072 (Archived by WebCite at http://www.webcitation.org/6mRK9bKP6).

Project description:PurposeThe aim was to evaluate the measurement properties of the Growth Hormone Deficiency-Child Treatment Burden Measure-Child (GHD-CTB-Child), a patient-reported outcome (PRO) for children aged 9 to < 13 years; the Growth Hormone Deficiency-Child Treatment Burden Measure-Observer (GHD-CTB-Observer), an observer-reported outcome (ObsRO) version completed by parents/guardians of children with growth hormone deficiency (GHD) aged 4 to < 9 years; and the Growth Hormone Deficiency-Parent Treatment Burden Measure (GHD-PTB), a PRO that assesses the treatment burden of parents/guardians living with children with GHD aged 4 to < 13 years.MethodsA non-interventional, multi-center, clinic-based study across 30 private practice and large institutional sites in the United States and the United Kingdom was conducted. The sample consisted of 145 pre-pubertal children aged 9 to < 13 years at enrollment with a physician confirmed GHD diagnosis as well as 98 parents/guardians of pre-pubertal younger children aged 4 to < 9 years at enrollment with a physician confirmed GHD diagnosis. The child sample consisted of 59 treatment-naïve children (no prior exposure to growth hormone [GH] therapy; were starting GH treatment at study start per standard of care) and 184 children already maintained on treatment for at least 6 months. At baseline, all study participants completed a paper validation battery including all measures needed to conduct the validation analyses. Follow-up assessments with children in the maintenance group and their caregiver/parent were conducted approximately 2 weeks post-baseline to evaluate test-retest reproducibility. To evaluate sensitivity to change and meaningful change thresholds, treatment-naïve participants in both child and parent/guardian populations were assessed within 1 week of report of minimal improvement between week 3 and week 11 and at week 12. Psychometric analyses were implemented following an a priori statistical analysis plan.ResultsFactor analyses confirmed the a priori conceptual domains and Overall score for each measure (GHD-CTB-Child and GHD-CTB-Observer domains: Physical, Emotional Well-being, and Interference; GHD-PTB domains: Emotional Well-being and Interference). Internal consistency was acceptable for all measures (Cronbach's alpha > 0.70). Test-retest reliability was acceptable for the Physical, Emotional, and Overall domains of the GHD-CTB versions, and the Emotional and Overall domains of the GHD-PTB (intraclass correlation coefficient above 0.70). All but one of the convergent validity hypotheses for the GHD-CTB versions and all hypotheses for the GHD-PTB were proven (r > 0.40). Known-groups validity hypotheses were significant for length of time to administer the injections in the GHD-CTB versions (p < 0.001 for Physical, Emotional, and Overall, and p < 0.01 for Interference) and whether parents/guardians versus child gave the injections more often for the Emotional domain of the GHD-PTB (p < 0.05). Associated effect sizes ranged from -0.27 to -0.57 for GHD-CTB versions and from -0.74 to -0.69 for the GHD-PTB, indicating that the measures are sensitive to change. Anchor-based patient and parent/guardian ratings of severity suggest preliminary meaningful change thresholds (GHD-CTB: 6 points for Physical score, 9 for Emotional, and 6 for Interference; GHD-PTB: 10 points for Emotional and 6 for Interference scores).ConclusionsThe psychometric properties of the GHD-CTB-Child, GHD-CTB-Observer, and GHD-PTB support the validity of their use as PRO and ObsRO measures to capture the experiences associated with treatment burden for children with GHD and their parents/guardians in both clinical and research settings. The Clinicaltrials.gov registration number NCT02580032 was first posted October 20, 2015.

Project description:Background: Transnormativity refers to the accountability structure that regulates the acceptable gender presentations, narratives, and ways of being of trans and nonbinary (TNB) individuals.Aims: The present research extends prior qualitative research on transnormativity to develop and validate the Transnormativity Measure (TM). Methods: The initial developed pool of potential items was presented to a focus groups and three content experts for review. In Study 1 (N = 497), the 69 initial items of the TM hypothesized to underly a six-factor structure were analyzed using Exploratory Factor Analysis (EFA) and construct and discriminant validity were assessed. In Study 2 (N = 540), an independent sample of TNB participants' TM responses were subjected to Confirmatory Factor Analysis (CFA), invariance testing, and construct and predictive validity. Finally, in Study 3 (N = 107), an Interclass Correlation Coefficients 2-way mixed-effects model of the TM was assessed.Results: EFAs conducted in Study 1 revealed a two-factor structure as the best fit with 50 items removed. Conceptually there was considerable overlap in the items comprising the two factors and it was decided that one general factor should be utilized. Study 1 also provided preliminary construct and discriminant validity due to expected relations between the TM and existing measures of heteronormativity and internalized transphobia. In Study 2 findings from correlational tests of the remaining items revealed that four items were highly correlated and were removed. Subsequent CFA indicated that the one factor model fit the data well. Configural invariance was supported however metric noninvariance was found. Additionally, Study 2 results supported construct and predictive validity through correlations between the TM and measures of TNB community belonginess and mental health outcomes. Finally, Study 3 provided support for test-retest reliability. Discussion: Across three studies, the TM was found to be a valid measure of transnormativity.

Dataset Information

Understanding treatment burden in hemophilia: development and validation of the Hemophilia Treatment Experience Measure (Hemo-TEM).

Background

Results

Conclusions

Publications

Understanding treatment burden in hemophilia: development and validation of the Hemophilia Treatment Experience Measure (Hemo-TEM).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets