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Record W4405039469 · doi:10.1182/blood-2024-207510

Treatment Adherence, Satisfaction and Quality of Life of Adult Patients with Severe Haemophilia a: Results from a Real-World Survey of Physicians and Patients

2024· article· en· W4405039469 on OpenAlexaff
V. Merla, Sheena Thakkar, Jasmine Healy, E. Morton, Kieran Wynne-Cattanach, Nathan Ball, Sophie Lai, Chris Blazos, Hanna Salehi

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsPfizer (Canada)
Fundersnot available
KeywordsMedicineHaemophiliaQuality of life (healthcare)Patient satisfactionFamily medicinePediatricsSurgeryNursing

Abstract

fetched live from OpenAlex

Introduction: Hemophilia A (HA) is a rare, inherited disease affecting clotting factor; severity is determined by baseline clotting factor activity. Hemophilia often impacts daily living, and this worsens with increased severity. Current standard of care includes extended half-life (EHL), standard half-life (SHL), and non-factor therapies (NFT). These treatments require frequent infusions which may impact overall adherence and patient quality of life. There is limited literature available on how treatment choice affects patient-reported outcomes; this study aimed to assess patient treatment adherence and self-reported quality of life by treatment type. Methods: Data were drawn from the Adelphi Real World Disease Specific Programme™, a cross-sectional survey, with retrospective data collection of physicians and their male patients with Hemophilia A (PwHA), in France, Germany, Italy, Spain, the United Kingdom, and the United States of America. Data were collected between September 2023 and April 2024. Hematologists, hematologist-oncologists, and the pediatric equivalents were eligible for inclusion if they were actively involved in the management of at least one PwHA. These patients were invited to complete a voluntary patient self-completion form. Patients included in this analysis were adults with severe HA (baseline clotting factor <1%) who received prophylactic treatment at the time of data collection. Physicians reported data on demographics, treatment history/ adherence and quality of life. Patients voluntarily reported impairment to their health-related quality of life via the Haem-A-Qol, highlighting three domains: sports and leisure (S&L), Treatment (Tx), Future (Ft) and the total score (TS). The three domains and TS are transformed to a scale of 0 to 100; higher scores indicating higher impairment. Analyses were descriptive. Results: Overall, 94 physicians reported data on 374 PwHA that met the analysis criteria. Of these patients, 37% were on SHL, 22% EHL and 42% NFT. Mean (standard deviation [SD]) age was 32.5 (13.3) years (SHL: 31.3 [13.4], EHL: 32.5 [13.2], NFT: 33.4 [13.2]). Physicians reported 45% of patients do not always take their treatment on time (SHL: 52%, EHL: 63%, NFT: 31%) and 54% were not completely satisfied with their patients' treatment (SHL: 73%, EHL: 72%, NFT: 28%). Of the physicians who were not completely satisfied, 53% reported their patient's treatment required too many infusions/injections (SHL: 59%, EHL: 57%, NFT: 39%). Of all PwHA, 75% had switched treatments from a previous prophylactic treatment, with the most recent regimen being discontinued due to “too many infusions/injections”. Physicians reported 33% of patients had difficulty with activities due to their hemophilia, the most reported impaired activity was the patient's ability to take part in sport or hobbies (SHL: 15%, EHL: 25%, NFT: 28%). Patient self-reported data was provided by 54 patients (SHL: 9%, EHL: 31%, NFT: 59%). Overall, 82% of patients reported they avoided physical activity due to their hemophilia (SHL: 100%, EHL: 88%, NFT: 76%). Patients mean [SD] score for the Haem-A-QoL TS was 38.8 [17.5] points (SHL: 42.4 [23.6], EHL: 35.5 [18.2], NFT: 40.1 [16.5]). Within the domains, patients scored 55.0 [21.4] points for S&L (SHL: 55.9 [24.1], EHL: 51.5 [23.0], NFT: 56.8 [20.7]), 41.3 [22.6] points for Tx (SHL: 36.2 [28.4], EHL: 39.5 [28.0], NFT: 43.1 [18.9]) and 45.9 [22.7] points for Ft (SHL: 49.0 [40.4], EHL: 40.6 [20.5], NFT: 48.3 [20.8]). For the domain S&L, 54% avoided sports either often or all the time (SHL: 33%, EHL: 60%, NFT: 54%). For Tx, 33% were often afraid of complications (SHL: 20%, EHL: 29%, NFT: 38%) and for Ft, 24% reported they often thought it would be difficult to lead a normal life (SHL: 20%, EHL: 29%, NFT: 22%). Conclusion: Physicians reported that nearly half of their patients (45%) were not always adherent to their prophylaxis treatment; reporting dissatisfaction with the high frequency of infusions/injections, in their current regimen. A large proportion (82%) of patients reported they were avoiding physical activity, indicating a burden on patients' quality of life. Similarly, this study found poor overall scores on different aspects of the Haem-A-Qol, i.e. sports and leisure, treatment, and future. This highlights the need for better treatment options to address patients' overall impairment due to hemophilia, in turn improving patient standard of quality of life.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.310
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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