Evidence map›Paper›PMID 38992616›Full record

ArticleBMC cancer2024

Understanding the experience, treatment preferences and goals of people living with chronic lymphocytic leukemia (CLL) in Australia.

Simon Fifer, Jenni Godsell, Stephen Opat, Nada Hamad, Masa Lasica, Cecily Forsyth, Louisa Morand, Erica Smeaton, Sharon Winton, Andrea Puig and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Simon FiferCommunity and Patient Preference Research (CaPPRe), Level 20, 50 Bligh Street, Sydney, NSW, 2000, Australia.
Jenni GodsellCommunity and Patient Preference Research (CaPPRe), Level 20, 50 Bligh Street, Sydney, NSW, 2000, Australia.
Stephen OpatMonash Health, 246 Clayton Road, Clayton, VIC, 3168, Australia.
Nada HamadDepartment of Haematology, St Vincent's Hospital Sydney, 390 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Masa LasicaSt Vincent's Hospital Melbourne, 41 Victoria Parade, Fitzroy, VIC, 3065, Australia.
Cecily ForsythCentral Coast Haematology, 14 - 18 Jarrett Street, Gosford, NSW, 2250, Australia.
Louisa MorandCentral Coast Haematology, 14 - 18 Jarrett Street, Gosford, NSW, 2250, Australia.
Erica SmeatonLymphoma Australia, PO Box 676, Fortitude Valley, QLD, 4006, Australia.
Sharon WintonLymphoma Australia, PO Box 676, Fortitude Valley, QLD, 4006, Australia.
Andrea PuigJohnson and Johnson, 66 Waterloo Road, Macquarie Park, NSW, 2113, Australia. apuig@ITS.JNJ.com.
Marija McGeachieJohnson and Johnson, 66 Waterloo Road, Macquarie Park, NSW, 2113, Australia.

Funding

Janssen Australia N/A
6 · The paper itself

Abstract

backgroundListening to patient voices is critical, in terms of how people experience their condition as well as their treatment preferences. This research explored the patient journey, therapy attributes and goals among treatment experienced adults with chronic lymphocytic leukemia (CLL). We sought to understand patient experiences, needs and expectations to identify areas for improvement of treatment and care delivery.

methodsTwo online surveys were developed for completion by CLL patients. In Stage 1, participants completed a best-worst scaling (BWS) task to evaluate eleven previously validated healthcare journey moments that matter (MTM). Responses were used to generate the patient experience index (PEI) score. In Stage 2, participants completed a survey that included both a discrete choice experiment (DCE) to assess drivers of treatment preferences by evaluating the relative attribute importance (RAI) of seven features and a BWS exercise which explored long-term treatment goals.

resultsTwenty-five patients completed Stage 1 and thirty patients Stage 2. Treatment experience was balanced between oral and intravenous medication. The most important/least satisfied MTM were treatment effectiveness, access to support and other treatments as well as monitoring progress. The median PEI score was 66.2 (out of 100). DCE results demonstrated that patients most value treatments for CLL that are associated with prolonged progression free survival (PFS; RAI: 24.6%), followed by treatments that have a lower risk of severe side effects and lower out-of-pocket costs (RAI: 19.5%, 17.4%, respectively). The remainder of the weight in decision making (38.5%) was split between the remaining attributes, namely 'mild to moderate side effects' (13.4%), 'long-term risks' (12.2%), type of treatment (i.e., oral, IV or a combination of oral and IV; 8.7%) and treatment duration (i.e., ongoing versus fixed; 4.2%). Patients preferred oral to intravenous therapy. The most valued long-term treatment goal was to be physically healthy, followed by living a long life, spending time with family/friends, and avoiding hospitalization.

conclusionTreatment experienced patients with CLL are focused on receiving effective, safe therapies and value long PFS. Consideration and discussion of other attributes, such as once daily dosing, oral only medication, out-of-pocket costs and access to support services may affect patient treatment choices and ultimately enhance their healthcare experience and outcomes.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellPatient PreferenceAdultAgedAged, 80 and overAustraliaFemaleGoalsHumansMaleMiddle AgedSurveys and QuestionnairesBest-worst scalingDiscrete choice experimentLymphomaPatient-centric carePatient satisfactionShared decision making

Identifiers

PMID38992616
PMCPMC11241996

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.