Evidence map›Paper›PMID 36859265›Full record

ArticleBMC health services research2023

Barriers to help-seeking for Malaysian women with symptoms of breast cancer: a mixed-methods, two-step cluster analysis.

Nadia Rajaram, Maheswari Jaganathan, Kavitha Muniandy, Yamuna Rajoo, Hani Zainal, Norlia Rahim, Nurul Ain Tajudeen, Nur Hidayati Zainal, Azuddin Mohd Khairy, Mohamed Yusof Abdul Wahab and 1 more

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Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Nadia Rajaram *Cancer Research Malaysia, Subang Jaya, Malaysia.
Maheswari Jaganathan *Cancer Research Malaysia, Subang Jaya, Malaysia.
Kavitha Muniandy *Cancer Research Malaysia, Subang Jaya, Malaysia.
Yamuna Rajoo *Cancer Research Malaysia, Subang Jaya, Malaysia.
Hani ZainalCancer Research Malaysia, Subang Jaya, Malaysia.
Norlia RahimKementerian Kesihatan Malaysia (Hospital Tengku Ampuan Rahimah, Klang), Klang, Malaysia.
Nurul Ain TajudeenKementerian Kesihatan Malaysia (Hospital Tengku Ampuan Rahimah, Klang), Klang, Malaysia.
Nur Hidayati ZainalKementerian Kesihatan Malaysia (Hospital Tengku Ampuan Rahimah, Klang), Klang, Malaysia.
Azuddin Mohd KhairyKementerian Kesihatan Malaysia (Hospital Tengku Ampuan Rahimah, Klang), Klang, Malaysia.
Mohamed Yusof Abdul WahabKementerian Kesihatan Malaysia (Hospital Tengku Ampuan Rahimah, Klang), Klang, Malaysia.
Soo Hwang TeoCancer Research Malaysia, Subang Jaya, Malaysia. soohwang.teo@cancerresearch.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving help-seeking behaviour is a key component of down-staging breast cancer and improving survival, but the specific challenges faced by low-income women in an Asian setting remain poorly characterized. Here, we determined the extent of help-seeking delay among Malaysian breast cancer patients who presented at late stages and explored sub-groups of women who may face specific barriers.

methodsTime to help-seeking was assessed in 303 women diagnosed with advanced breast cancer between January 2015 and March 2020 at a suburban tertiary hospital in Malaysia. Two-step cluster analysis was conducted to identify subgroups of women who share similar characteristics and barriers. Barriers to help-seeking were identified from nurse interviews and were analyzed using behavioural frameworks.

resultsThe average time to help-seeking was 65 days (IQR = 250 days), and up to 44.5% of women delayed by at least 3 months. Three equal-sized clusters emerged with good separation by time to help-seeking (p < 0.001). The most reported barrier across clusters was poor knowledge about breast health or breast cancer symptoms (36.3%), regardless of help-seeking behaviour (p = 0.931). Unexpectedly, women with no delay (9 days average) and great delay (259 days average) were more similar to each other than to women with mild delays (58 days average), but, women who experienced great delay reported poor motivation due to fear and embarrassment (p = 0.066) and a lack of social support (p = 0.374) to seek help.

conclusionsDown-staging of breast cancer in Malaysia will require a multi-pronged approach aimed at modifying culturally specific social and emotional barriers, eliminating misinformation, and instilling motivation to seek help for breast health for the women most vulnerable to help-seeking delays.

Indexed as

Breast NeoplasmsHelp-Seeking BehaviorPatient Acceptance of Health CareAsian PeopleCluster AnalysisEmotionsFemaleHumansMalaysiaBarriersBreast cancerEarly detectionEarly presentationHelp seekingMalaysia

Identifiers

PMID36859265
PMCPMC9976530

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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.