MATERIALS AND METHODS: This review has two parts. The first part is a scoping review of the factors associated with suicidal ideation and attempt among young people. The search was conducted in Pubmed, Scopus, and PsycInfo. The second part is the development of preventive strategies according to the identified factors. Both parts will be guided by the SEM model.
RESULTS: A total of ten studies with 45,278 participants that matched the criteria are included in this review. The review found that the risk factors for suicidal ideation among young people in LMIC are being female, psychiatric illness, psychology problem, smoking, alcohol intake, victim of abuse, bullied, and food insecurity. The preventive strategies include policy, mental healthcare services, awareness programme, and coping strategies.
CONCLUSION: More epidemiological studies are needed to evaluate the risk factors of suicide that are unique in LMIC, such as help-seeking behaviour and available mental healthcare services. Suicide prevention requires concerted effort of policymakers, healthcare services, community and individual; thus, SEM framework is suitable as a guidance for suicide prevention.
METHODS: This is a quasi-experimental research with prepost test design with control group involving 81 participants per group from two health clinics in Sepang. The primary outcome was a change in the haemoglobin levels following educational intervention. Secondary outcomes include knowledge on anaemia, Health Belief Model (HBM) constructs, dietary iron intake and compliance towards iron supplementation. The intervention group received a HBMbased education intervention programme.
RESULTS: The response rate in the intervention and control group were 83.9% and 82.7% respectively. Generalised estimating equations analysis showed that the intervention was effective in improving the mean haemoglobin level (β=0.75, 95%CI=0.52, 0.99, p<0.001), the knowledge score (β=1.42, 95%CI=0.36, 2.49, p=0.009), perceived severity score (β=2.2, 95%CI= 1.02, 3.39, p<0.001) and increased proportion of high compliance level (AOR=4.59, 95%CI=1.58, 13.35, p=0.005).
CONCLUSION: HBM-based health education programme has proven to be effective in improving the haemoglobin levels, knowledge scores, perceived severity scores and compliance level of participants. The study results emphasized on the effectiveness of such an approach, therefore it is recommended that future educational interventions which aim at increasing preventive healthy behaviours in pregnant women may benefit from the application of this model in primary health care settings.
OBJECTIVE: This study aims to evaluate the effectiveness of carbon monoxide measurement feedback and the standard brief motivation adopted to encourage the smoker to quit.
METHODS: A single-blind, cluster randomised controlled trial was conducted at ten tertiary colleges in Selangor. The study recruited young adult smokers at the precontemplation and contemplation stages. The subjects in the control group received a standard brief motivational strategy. On the other hand, the intervention group received additional carbon monoxide measurement and a motivational feedback module. A follow up was conducted at the first, third and sixth month to measure changes in smoking cessation stage. Subsequently, the secondary outcomes of a mean number of cigarette consumption and quit smoking attempt were analysed. A total of 160 subjects were required to detect the expected difference of 17% in primary outcomes between the groups. This study utilised Generalised Estimating Equations (GEE) to handle the clustering effects.
CONCLUSION: Biomedical risk assessment feedback mechanism by using carbon monoxide is a promising aid to motivate the smoker to quit. This mechanism is a relatively easy, quick and non-invasive technique. Thus, it can be utilised as a reinforcement relating to the harmful effect of smoking. Besides, it can also increase the smokers' selfefficacy and decisional balance to adopt behavioural changes.
METHODS: The interventional study was conducted in a teaching hospital in Malaysia. Purposive sampling was used to recruit participants from surgical, intensive care, and other units. Thirty-six health professionals in the experimental and forty in the control group completed the study. All subjects participated in an interactive lecture and demonstrated four IPSS on HAIC i.e. (i) taking blood specimen (ii) bedsore dressing (iii) collecting sputum for acid-fast bacilli and (iv) intermittent bladder catheterization. Each team consisted of a doctor and a nurse. A self-administered questionnaire on KAP on HAIC was completed by respondents during the pre-, immediately and, post-intervention. An independent t-test was conducted to measure the significance between the experimental and control group.
RESULTS: The mean scores for KAP among the experimental group increased following the intervention. Significant differences in scores were seen between the two groups post-intervention (p
Materials and methods: A systematic literature survey was adopted in this paper, involving the review of 25 relevant researched articles found in the databases Science Direct, EBSCO, MEDLINE, CINAHL and PubMed.
Result: The systematic literature survey reveals five variables to be core predictors of TQM, signifying how important these variables are in the successful implementation of TQM in the health-care context. Also, it is revealed that the identified core predictors have positive effects on an improved health-care system. However, the systematic survey of the literature reveals a dearth of studies on TQM in the health-care context.
Conclusion: As TQM has become an important management approach for advancing effectiveness in the health-care sector, this kind of research is of value to researchers and managers. Stakeholders in the health sectors should introduce and implement TQM in hospitals and clinics. Nevertheless, this study has limitations, including that the databases and search engines adopted for the literature search are not exhaustive.
METHODS: A total of doctors (39) and nurses (37) were recruited for an interventional study on the interprofessional learning approach on hospital acquired infection control. The participants responded to the University of West England Interprofessional (UWEIP) questionnaire at baseline consisting of four dimensions in IPL aspects; Self-assessment on communication and teamwork skills (CTW), interprofessional learning (IPL), interprofessional interaction (IPI), and interprofessional relationship (IPR). The Cronbach alpha value for the total questionnaire was established at 0.79.
RESULTS: The majority of doctors scored positive in CTW, IPL, IPR, and neutral in IPI. Nurses' also recorded the highest positive scores in CTW, IPL, and IPR, and neutral in IPI. Negative scores were found in CTW and IPI. A significant difference was revealed between doctors and nurses in IPL attitude; p = 0.024 and there was no significant difference in other dimensions (p > .05). Results also found a significant difference between participants' and non-participants of IPL training sessions; p = 0.009.
CONCLUSIONS: This study revealed the infusion of interprofessional learning training among the health professionals displayed better self-assessments, attitudes, and perceptions towards collaborative practices.
MATERIALS AND METHODS: This scoping review was performed through electronic databases (PubMed and ScienceDirect) using keywords: 'spatial accessibility', 'floating catchment area' and 'factors'. Google Scholar and Mendeley Network were also used as additional sources to obtain relevant studies.
RESULTS: A total of 32 articles were included in this review. Factors identified can be distinguished into two broad categories, which are spatial and non-spatial factors. Spatial factors were remoteness or distance from the urban centre, areas in close proximity to main roads, and some specific geographical characteristics such as mountainous and deltaic regions, whereas non-spatial factors were the degree of urbanisation, population density and various demographic profiles of the population such as socioeconomic status, health need, and minority ethnic composition.
CONCLUSION: This study adds to the body of literature pertinent to the factors associated with spatial accessibility to healthcare services. These findings could give insight for researchers to consider and incorporate those additional variables to further improve the FCA-based method calculations.