Evidence map›Paper›PMID 40611153›Full record

ArticleBMC health services research2025

Gender differences in health-seeking behaviour: insights from the National Health and Morbidity Survey 2019.

Devi Shantini Rata Mohan, Suhana Jawahir, Adilius Manual, Nur Elina Abdul Mutalib, Sarah Nurain Mohd Noh, Iqbal Ab Rahim, Jabrullah Ab Hamid, Awatef Amer Nordin

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
–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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

8 authors.

Devi Shantini Rata Mohan *Centre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia. devishantini@gmail.com.
Suhana Jawahir *Centre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Adilius ManualCentre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Nur Elina Abdul MutalibCentre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Sarah Nurain Mohd NohCentre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Iqbal Ab RahimCentre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Jabrullah Ab HamidCentre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Awatef Amer NordinCentre for Health Equity Research, Institute for Health Systems Research, Blok B2, Kompleks NIH, Persiaran Setia Murni, Setia Alam, Shah Alam, Selangor, 40170, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-seeking behaviour involves actions taken by individuals who feel unwell to seek remedies and varies based on cognitive and non-cognitive factors like sex, age, socioeconomic status, and access to healthcare. Gender roles significantly impact health outcomes with the COVID-19 pandemic further accentuating the gender disparity in public health compliance. Using secondary data from a national health survey, this article aims to assess the gender-based characteristics and factors influencing health-seeking behaviour among the population in Malaysia.

methodsThis study was a secondary data analysis of the NHMS 2019, a cross-sectional national health survey using Andersen's Behavioural Model. It evaluated factors influencing self-medication and treatment-seeking based on socio-demographics, enabling conditions, and perceived health needs. Descriptive statistics and logistic regression models were conducted to identify factors influencing health-seeking behaviour among men and women.

resultsThis study analysed the health-seeking behaviours of 10,933 Malaysian adults, representing 19.7 million people. The overall prevalence of sickness was 16.1% (95% CI = 14.8-17.4), with higher rates in women (18.1%; 95% CI = 95% CI = 16.3-19.9). Among those who were sick, 56.4% (95% CI = 52.9-60.0) sought professional treatment while 23.0% (95% CI = 19.8-26.2) self-medicated. Regression analysis showed that urban women and those rating their health poorly were more likely to seek professional care, while Chinese, those with no formal education, and retiree women were more likely to self-medicate. Among males, those with long-term condition are more likely to seek treatment while students were less likely to self-medicate compared to private employees.

conclusionThe study reveals significant gender and sociodemographic disparities in health-seeking behaviour amongst Malaysian men and women. The factors that influence these health-seeking behaviour is unique for each gender. This emphasises the importance of targeted interventions which are gender-sensitive to address structural inequities and achieve equitable healthcare utilisation across all demographic groups in Malaysia.

Indexed as

COVID-19Patient Acceptance of Health CareAdolescentAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansMalaysiaMaleMiddle AgedSARS-CoV-2Self MedicationSex FactorsSocioeconomic FactorsEquityGenderHealth-seeking behaviourMalaysia

Identifiers

PMID40611153
PMCPMC12224705

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.