METHODS: A cross-sectional study was conducted from March to April 2021. An online survey, consisting of socio-demographic characteristics, Internet use, eHealth Literacy Scale and mobile health application utilisation, was distributed amongst pharmacy undergraduates in public and private universities in Malaysia. Data analysis included descriptive statistics, one-way analysis of variance test, Mann-Whitney U test and Kruskal-Wallis test.

RESULTS: A total of 415 participants completed the survey (response rate    =    82.5%). The median eHealth Literacy Scale score (out of 40) was 31.0    ±    3.0 (interquartile range). More than one-third of participants (34.7%) were found to have low eHealth literacy. Many lacked confidence in making health decisions from online information (42.4%) and skills in distinguishing between high-quality and low-quality health resources (35.2%). Only 70.4% of the participants had mobile health applications installed on their smartphones and/or tablets. Some students felt that they were neither knowledgeable nor skilful enough to utilise mobile health applications (24.8%), whereas 23.9% were unaware of the mobile health applications available.

DESIGN: A cross-sectional study was conducted from January to March 2018; data on patients' sociodemographic characteristics, diabetes knowledge, perceived social support and health literacy level were collected. Health literacy level was measured using the European Health Literacy Survey Questionnaire (HLS-EU-Q47).

SETTING: Patients were recruited from four primary care clinics in Perak, Malaysia.

PARTICIPANTS: Adult patients diagnosed with T2DM who attended the study clinics during the study period.

PRIMARY OUTCOME VARIABLE: Patients with HLS-EU-Q47 General Index of ≤33 points were classified as having limited health literacy.

RESULTS: The prevalence of limited health literacy was 65.3% (n=279). In bivariate analysis, patients' ethnicity (p=0.04), highest education level (p<0.001), monthly income (p=0.003), having health insurance (p=0.007), English language fluency (p<0.001), Malay language fluency (p=0.021), attending diabetes education sessions (p<0.001), perceived social support (p<0.001) and diabetes knowledge (p=0.019) were factors associated with limited health literacy. In logistic regression, not being fluent in English was associated with limited health literacy (OR=2.36, 95% CI 1.30 to 4.30) whereas having high perceived social support (OR=0.52, 95% CI 0.40 to 0.69) and having attended diabetes education sessions (OR=0.42, 95% CI 0.27 to 0.68) were associated with adequate health literacy.

METHODS: We recruited eligible adults from the Klang Asthma Cohort registry in primary care for a 3-month mixed-method study plus a 2-month extended observation. We collected baseline data on socio-demography, health literacy and asthma control level. The outcomes of the intervention were assessed at 1- and 3-month: i) adoption (app download and usage), ii) adherence (app usage), iii) retention (app usage in the observation period), iv) health outcomes (e.g., severe asthma attacks) and v) process outcomes (e.g., ownership and use of action plans). At 1-month, participants were purposively sampled for in-depth interviews, which were audio-recorded, transcribed verbatim, and analysed deductively.

RESULTS: We recruited 48 participants; 35 participants (23 Female; median age = 43 years; median HLS score = 28) completed the 3 months study. Of these, 14 participants (10 Female; median age = 48 years; median HLS score = 28) provided interviews. Thirty-seven (77%) participants adopted the app (downloaded and used it in the first month of the study). The main factor reported as influencing adoption was the ease of using the app. A total of 950 app usage were captured during the 3-month feasibility study. App usage increased gradually, peaking at month 2 (355 total log-ins) accounting for 78% of users. In month 5, 51.4% of the participants used the app at least once. The main factors influencing continued use included adherence features (e.g., prompts and reminders), familiarity with app function and support from family members.

METHODS: This study employs a quantitative research design using a cross-sectional survey of 300 older persons over 60 years living in the six urban districts of Xi'an city. Data were collected using the Health Literacy Questionnaire (HLQ) and the Depression Anxiety Stress Scale (DASS-21). This study employed descriptive statistics and inferential methods to analyze the data. The inferential methods applied structural equation modeling (SEM) to test the hypothesis of the mediator role of health literacy between the presence of chronic disease and psychological distress.

OBJECTIVE: The aim of this study was to translate and adapt cross-culturally the OHLI into French, to evaluate its psychometric properties and to compare its results to oral health knowledge.

METHOD: This study followed and applied well-established processes of translation, cross-cultural adaptation and validation, based on the recommendations of the World Health Organization guidelines and on the Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) study design checklist for patient-reported outcomes. Two psychometric assessments were planned, the comparison of OHLI-F scores according to education level and frequency of dental visits, and the test-retest reliability of the OHLI-F.

METHOD: A cross-sectional study was conducted among participants aged > 18 years with asthma who attended five primary health clinics in Malaysia. Systematic random sampling was employed with a final sample of 550 participants. The questionnaires included the validated Malay version of Health Literacy Scale (HLS) and asthma control questionnaire (ACQ). Statistical analysis was done using SPSS version 25. Multiple logistic regression was performed to determine the determinants for limited health literacy.

OBJECTIVES: This study aimed to determine the prevalence of online health information-seeking and its associated factors among patients in primary care in Malaysia. We also examined the reasons for, and the sources of, online health information-seeking, patients' level of trust in the information found and what the information was used for.

METHODS: A cross-sectional study using a self-administered questionnaire was conducted on patients who attended a primary care clinic. The questionnaire included the use of the internet to seek health information, sources and types of health information, eHealth literacy, patients' trust in online information, and how patients appraise and use online health information.

RESULTS: Out of 381 patients in this study, 54.7% (n = 208) used the internet to search for health information. Patients mainly sought information via Google (96.2%) and the most common websites that they visited were Wikipedia (45.2%) and MyHEALTH (37.5%). Higher levels of education, longer duration of internet use, and higher eHealth literacy were significantly associated with online HISB. Patients' trust in websites (45.6%) and social media (20.7%) was low when compared to trust in healthcare professionals (87.9%). Only 12.9% (n = 22) of patients had discussed online health information with their doctors.