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Record W2907302590 · doi:10.1182/blood-2018-99-112858

Results from the ITP World IMPACT Survey (I-WISh): Patients with Immune Thrombocytopenia (ITP) Experience Impaired Quality of Life (QoL) Regarding Daily Activities, Social Interactions, Emotional Well-Being and Working Lives

2018· article· en· W2907302590 on OpenAlexaff
Nichola Cooper, Alexandra Kruse, Caroline Kruse, Shirley Watson, Mervyn Morgan, James B. Bussel, Waleed Ghanima, Donald M. Arnold, Cristina Santoro, Ming Hou, Yoshiaki Tomiyama, Serge Laborde, Barbara Lovrenčič, John Waller, Tom Bailey, Gavin Taylor‐Stokes, Miona Stankovic, Andrew Provan

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineImmune thrombocytopeniaQuality of life (healthcare)Family medicineGerontologyInternal medicineNursing

Abstract

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Abstract Background: The impact of ITP on patient (pt) QoL is multidimensional, broadly encompassing daily activities, emotional health, and work life. Health-related QoL has been shown to be substantially reduced in ITP pts relative to healthy controls, yet the full impact of ITP on affected pts is not well-defined. Aims: I-WISh studied the burden of ITP and its impact on QoL using a global pt and physician (MD) sampling frame. This analysis reports the impact of ITP on QoL, emotional health, and work productivity, and evaluates similarities and differences between pt and MD viewpoints. Methods : I-WISh is a cross-sectional survey of ITP pts, recruited via MDs and pt support groups, and MDs recruited via local fieldwork agencies. Participants (pts and MDs) completed a 30-minute online survey that included demographics and the impact of ITP on QoL, emotional health, work productivity, and need for caregivers. A steering committee of expert MD and pt advocacy leads specializing in ITP designed and endorsed survey materials. Results: 1491 pts from 12 countries completed the survey; 65% were female, mean (SD) age was 47 (16) years. 472 MDs from 13 countries completed the survey; 56% were university or teaching hospital based, with a mean (SD) ITP pt caseload of 34 (50) and a mean (SD) of 18 (36) newly-diagnosed pts in the past year. Overall, 84% (n=1258/1489) of pts reported that ITP reduced their energy levels, 77% (n=1149/1489) said ITP reduced their capacity to exercise, 75% (n=1116/1489) said ITP limited their ability to perform daily tasks, and 70% (n=1035/1485) said ITP impaired their social life. The proportion of pts reporting an impact of ITP on their QoL increased with symptom burden (Figure A); 98% of pts (n=298/303) with the greatest symptom burden reported an impact on energy levels and >90% reported an impact of ITP for 6/10 questions. MDs perceived potential bleeding as having the greatest impact on pt QoL (scored ≥5 on a 7-point Likert scale, where 7=great deal), with 88%, 73%, and 69% perceiving concerns of increased bleeding risk during sport, travel, and sex, respectively, as areas in which pt QoL could be affected. Fewer MDs than pts felt that ITP would greatly impact daily activities (52% vs 75%) or family and social life (45% vs 70%). 82% of MDs indicated they either do or would use a pt QoL tool at least every 6 months to monitor pts. Almost half (49%; n=731) of all pts stated ITP had a high impact on their emotional well-being (score ≥5 on 7-point Likert scale, where 7=great deal), with 63% (n=944) worried their condition would worsen. More pts with very high symptom burden reported high emotional impact (75%; n=227/303), with 85% (n=259/303) worrying about their condition worsening. MDs gave similar results to pts for emotional impact and considered anxiety about platelet counts the primary cause (85%). Nearly half of pts who worked (43%; n=383/894) reported that ITP affects their work productivity (score ≥4 on a 10-point scale, where 10=completely prevented from working), with 24% (n=212/889) having missed ≥6 hours' work in the week prior to survey completion. 48% (n=715/1491) of all pts had either reduced or seriously considered reducing their hours at work, and 21% (n=306/1491) had considered terminating their employment because of ITP (Figure B). Despite this, 62% (n=554/888) work >30 hours/week. Pts with very high symptom burden (n=303) reported greater impact on their work, with 69% either having reduced or seriously considering reducing their hours and 43% having considered terminating employment. Over half of pts (52%) reported needing care assistance, with their spouse being the main caregiver (59%; n=461/775), requiring an average of 16.3 hours of support in a week. Caregivers provided companionship (69%; n=534/775), helped with household chores (55%; n=429/775), and aided transportation (50%; n=386/775). Summary/conclusions: I-WISh demonstrates that most ITP pts experience substantially impaired QoL, with daily activities, social interactions, emotional well-being, and working lives all affected. Pts frequently report severe fatigue and pts with high ITP symptom burden were particularly affected, with nearly all pts reporting substantially reduced energy levels. Pts also worried about their condition worsening and had reduced work capacity. These results highlight the need for MDs to consider the impact of ITP disease burden on all aspects of individual pts' lives during management of ITP. Disclosures Cooper: Amgen, Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Kruse:Novartis/ITP: Consultancy; Rigel/ITP: Honoraria; Amgen/ITP: Consultancy. Watson:Novartis: Membership on an entity's Board of Directors or advisory committees. Bussel:Rigel: Consultancy, Research Funding; Protalex: Consultancy; Momenta: Consultancy; Prophylix: Consultancy, Research Funding; Amgen Inc.: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Uptodate: Honoraria. Ghanima:Amgen, Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer, BMS, Novartis: Research Funding. Arnold:Novartis: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; UCB: Consultancy; Bristol Myers Squibb: Research Funding; Amgen: Consultancy, Research Funding; UCB: Consultancy; Amgen: Consultancy, Research Funding; Bristol Myers Squibb: Research Funding. Santoro:Bayer, CSL, Novo Nordisk, Pfizer, Shire, Sobi: Other: advisory boards, Speakers Bureau; Grifols, Gilead: Other: advisory boards; Amgen, Glaxo: Speakers Bureau. Tomiyama:Sysmex Corporation: Consultancy; Kyowa Hakko Kirin Co., Ltd.: Honoraria; Novartis Pharma Co., Ltd.: Honoraria, Membership on an entity's Board of Directors or advisory committees; Chugai Pharmaceutical Co., Ltd.: Honoraria. Waller:Novartis: Consultancy. Bailey:Novartis: Consultancy. Taylor-Stokes:Novartis: Consultancy. Stankovic:Novartis: Employment. Provan:Amgen, Novartis: Honoraria, Research Funding.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.303
Teacher spread0.268 · 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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Citations5
Published2018
Admission routes1
Has abstractyes

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