Evidence map›Paper›PMID 29415669›Full record

ArticleBMC cancer2018

Factors predicting patient satisfaction in women with advanced breast cancer: a prospective study.

Wendy W T Lam, Ava Kwong, Dacita Suen, Janice Tsang, Inda Soong, Tze Kok Yau, Winnie Yeo, Joyce Suen, Wing Ming Ho, Ka Yan Wong and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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  5. Article
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  10. Psychosocial and clinical predictors of patient satisfaction with cancer care.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
    Article
  11. Factors contributing to satisfaction with care in cancer outpatients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  12. Article
  13. Article
  14. Article
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

13 authors.

Wendy W T LamCentre for Psycho-Oncology Research & Training, Division of Behavioural Sciences, School of Public Health, The University of Hong Kong(HKU), 5/F, WMW Mong Block, Faculty of Medicine Building, 21 Sassoon Road, Pokulam, Hong Kong. wwtlam@hku.hk.
Ava KwongDepartment of Surgery, The University of Hong Kong, Pokfulam, Hong Kong.
Dacita SuenDepartment of Surgery, The University of Hong Kong, Pokfulam, Hong Kong.
Janice TsangDepartment of Clinical Oncology, The University of Hong Kong, Pokfulam, Hong Kong.
Inda SoongDepartment of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong.
Tze Kok YauDepartment of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong.
Winnie YeoDepartment of Clinical Oncology, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
Joyce SuenDepartment of Clinical Oncology, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
Wing Ming HoDepartment of Clinical Oncology, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
Ka Yan WongDepartment of Oncology, Princess Margaret Hospital, Kwai Chung, Hong Kong.
Wing Kin SzeDepartment of Clinical Oncology, Tuen Mun Hospital, Tuen Mun, Hong Kong.
Alice W Y NgDepartment of Clinical Oncology, Tuen Mun Hospital, Tuen Mun, Hong Kong.
Richard FieldingCentre for Psycho-Oncology Research & Training, Division of Behavioural Sciences, School of Public Health, The University of Hong Kong(HKU), 5/F, WMW Mong Block, Faculty of Medicine Building, 21 Sassoon Road, Pokulam, Hong Kong.

Funding

General Research Fund of the Research Grant Council of Hong Kong 746710
6 · The paper itself

Abstract

backgroundThe present study (1) examined patient satisfaction with care over the first year following the diagnosis of advanced breast cancer and (2) tested if unmet health system and information needs, physical symptom distress, and psychological distress predicted patient satisfaction.

methodsProspective study of 213 Chinese women with advanced breast cancer assessed while awaiting or receiving initial chemotherapy (baseline), then again at 1.5-, 3-, 6-, and 12-months post-baseline. Health system and information unmet (HSI) needs, psychological distress, physical symptom distress, and patient satisfaction were assessed at baseline; patient satisfaction was reassessed at each follow-up assessment. Latent growth curve analysis assessed changes in patient satisfaction over the 12 months follow-up; hierarchical multiple regression analysis tested if baseline health system information needs, physical symptom distress, anxiety and depression predicted patient satisfaction at one-year post-baseline.

resultsThe level of patient satisfaction was high and did not change significantly over time. Only HSI needs (β = - 0.27, p < 0.005) significantly associated with baseline patient satisfaction. Patient satisfaction at one-year post-baseline was predicted by HSI needs (β = - 0.26, p < 0.005), Anxiety (β = 0.23, p < 0.05) and Depression (β = - 0.28, p < 0.005), adjusting for the effect of baseline patient satisfaction (β = 0.22, p < 0.005).

conclusionsUnmet health information needs and greater depressive symptoms at initial treatment phased predicted subsequent poorer patient satisfaction. This highlights a need to reinforce the importance of patient-centered care model in managing advanced breast cancer.

Indexed as

Patient SatisfactionAnxietyAsian PeopleBreast NeoplasmsChinaDepressionFemaleHealth Services Needs and DemandHumansMiddle AgedMultivariate AnalysisProspective StudiesRegression AnalysisStress, PsychologicalSurveys and QuestionnairesAdvanced breast cancerChinesePatient satisfactionPsychological distressUnmet information needs

Identifiers

PMID29415669
PMCPMC5803988

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.