METHOD: This 2016 study located every dental practice in Malaysia (private and public) and mapped these practices against population, using Geographic Information Systems (GIS) tools. Population clusters within 5, 10 and 20 km of a dental clinic were identified, and clinic-to-population ratios were ascertained. Population data were obtained from the Population and Housing Census of Malaysia 2010. Population relative wealth was obtained from the 2014 Report on Household Income and Basic Amenities Survey for Malaysia. The physical address for each dental practice in Malaysia was gathered from the Official Portal of Ministry of Health Malaysia. All data for analysis were extracted from the integrated database in Quantum GIS (QGIS) into Microsoft Excel.
RESULT: The population of Malaysia (24.9 million) was distributed across 127 districts, with 119 (94%) having at least one dental clinic. Sixty-four districts had fewer than 10 dental clinics, and 11.3% of Malaysians did not reside in the catchment of 20 km from any dental clinic. The total dental clinic-to-population ratio was 1:9,000: for public dental clinics it was 1:38,000 and for private clinics it was 1:13,000.
CONCLUSION: Dental services were distributed relative to high population density, were unevenly distributed across Malaysia and the majority of people with the highest inaccessibility to a dental service resided in Malaysian Borneo.
METHODS: Grey literature was searched at the library of the University of Kebangsaan, Malaysia, on database engines Google Scholar and Science Direct with specific key words to screen papers published from January 2001 to June 2016. They were reviewed to identify the key factors affecting scaling up of health-related pilot projects. Full-text articles were selected, and their reference lists were checked to look for relevant papers. They were short-listed and analysed using thematic approach.
RESULTS: Of the 47 articles initially screened, 14(29.78%) were shortlisted. Thematic analysis of the selected articles suggested several key factors contributed to the successful scale-up of pilot projects. These factors included evidence-based and effective intervention, community readiness, government support, stakeholders' engagement, and monitoring and supervision.
CONCLUSIONS: To maximise health coverage in developing and low middle-income countries, scaling up of health interventions on a large scale is essential to improve the health and wellbeing of people. The identified key factors should be considered while planning the scale-up of any health project.
METHOD: Between September and December 2020, a health questionnaire was administered via telephone to n = 250 migrants from Venezuela. Descriptive statistics summarized the constructs of Andersen's Behavioral Model. The model comprised of predisposing factors including migrants' social characteristics; enabling factors namely monthly earnings, education level and most trusted source of information on medical needs; need for care factors such as migrants self-reported health status, presence of non-communicable health conditions and having visited a doctor in the past 12 months; and the outcome variables which were migrants' decisions to seek public and private health services. Pearson χ2 tests, odds ratios and multivariable logistic regression with backward elimination examined the factors influencing a migrant's decision to seek health services.
RESULTS: Overall, 66.8% of migrants reported they would seek public health services, while 22.4% indicated they would seek private health services. Predisposing factors namely length of time residing in Trinidad and Tobago (p = 0.031) and living with family/friends (p = 0.049); the enabling factor of receiving information from publicly available sources (p = 0.037); and the need for care factor of visiting a doctor for a physical health problem (p = 0.010) were significant correlates of their decision to seek care in the public sector. Predisposing factors namely living with family/friends (p = 0.020) and the enabling factor of having difficulty accessing healthcare services (p = 0.045) were significant correlates of their decision to seek care from private providers.
DISCUSSION: Our findings demonstrated the positive association between social networks and a migrant's decision to use public and private health services, thus underscoring the importance of family and friends in facilitating health service use, promoting proper health practices and preventing diseases. Overall, the use of Andersen's Behavioral Model aided in identifying the factors associated with the use of health services by Venezuelan migrants in Trinidad and Tobago. However, further studies are needed to better understand their need for ongoing care, to inform policy, and to plan targeted health interventions for addressing the gaps in health service access, barriers and use.
METHODS: A comprehensive literature search was conducted using multiple databases including PubMed-Medline, EMBASE, ProQuest central, CINAHL and Scopus to identify relevant studies published between 2010 and 2021 that focused on barriers and/or facilitators to seeking help for depression, anxiety, and psychological distress among older adults aged 65 years or older. Studies' risk of bias was assessed using the Newcastle-Ottawa Scale and results of studies were synthesized guided by the methodological framework of Rodgers and colleagues.
RESULTS: A total of eight cross-sectional studies, from Australia, United States, Mexico, Netherlands, and Malaysia met the inclusion criteria for this review. Included studies reported that the majority of their participants had anxiety or depression, yet they exhibited a preference for informal mental health help over professional help. Stigma, negative beliefs about mental health professional services, and cost were the most reported barriers. Main reported facilitators were prior positive experience with mental health services and high socioeconomic status.
CONCLUSION: Older adults are in need of interventions normalizing mental health help seeking and ensuring these services are accessible in terms of costs. This should be the focus of policy makers, healthcare providers, and public health practitioners working with older adults.
PROTOCOL REGISTRATION: PROSPERO 2021 CRD42021238853.
MATERIALS AND METHODS: This Study used a pre-experimental design method with a One-Group Pre-Post test design approach. We recruited 60 breastfeeding mothers in Padang, Indonesia, selected with consecutive sampling. Online Education Based On Family Centered Maternity Care was provided for the respondent. Data were collected using the Breastfeeding Self efficacy Scale ShortForm (BSE-SF) and The Breastfeeding Knowledge (BKQ) Questionnaires.
RESULTS: The respondents had significant differences in selfefficacy and knowledge before and after the health education Based On Family Centered Maternity Care (p<0.001).
CONCLUSION: After Education Package Based On Family Centered Maternity Care influenced the Self Efficacy And Knowledge of Breastfeeding Mothers. It could be provided as a nursing intervention to assist Breastfeeding Mothers.