METHODS: Research impact of universal access and quality healthcare projects funded by the National Institutes of Health Malaysia were assessed based on the modified Payback Framework, addressing categories of informing policy, knowledge production, and benefits to health and health sector. For the HRPS process, the Child Health and Nutrition Research Initiative methodology was adapted and adopted, with the incorporation of stakeholder values using weights and monetary allocation survey. Workshop discussions and interviews with stakeholders and research groups were conducted to identify research gaps, with the use of conceptual frameworks to guide the search.
RESULTS: Seventeen ongoing and 50 completed projects were identified for research funding impact analysis. Overall, research fund allocation differed from stakeholders' expectation. For research impact, 48 out of 50 completed projects (96.0%) contributed to some form of policy-making efforts. Almost all completed projects resulted in outputs that contributed to knowledge production and were expected to lead to health and health sector benefits. The HRPS process led to the identification of research priority areas that stemmed from ongoing and new issues identified for universal access and quality healthcare.
CONCLUSION: The concerted efforts of evaluation of research funding impact, prioritisation, dissemination and policy-maker involvement were valuable for optimal health research resource utilisation in a resource constrained developing country. Embedding impact evaluation into a priority setting process and funding research based on national needs could facilitate health research investment to reach its potential.
METHODS: An iterative process of questionnaire development was undertaken by combining two approaches: the steps proposed by Robert F. DeVellis for scale development and the recommended practices for questionnaire development and testing in the European statistical system. We attempted to develop the draft questionnaire that involved conceptualization and operationalization, generation of an item pool, development of the questionnaire format, review of the initial item pool by experts, and consideration of validation items for inclusion.
RESULTS: We generated an item pool from in-depth interviews with 14 women who sought infertility care within 6 months before the interview time. We then added more items from a literature review. The item pool contained 123 items distributed through 10 domains. Ten women with infertility were included for face validation. Then, experts with backgrounds in Obstetrics and Gynecology, Family Medicine, and Public Health reviewed the item pool using content validation (n = 10 professors and/or specialists). The item pool was finally reduced to 57 items. We developed the draft Arabic patient-centered infertility care questionnaire for female clients (PCIQ-F) with three sections, including 66 items: background variables, PCIC experience variables, and a general question about the quality of infertility care in the health facility. The draft questionnaire was further reviewed and edited last by experts in preparation for part 2, which will test the questionnaire and prepare the final version.
CONCLUSION: The PCIQ-F questionnaire development is a multi-step iterative process started and ended by the target users as experts. Experts' participation in infertility care and in questionnaire format development had a great impact on questionnaire development and conflict resolution. We recommend this transparent and replicable approach for new instrument developers; it is likely to generate a questionnaire that is valid and acceptable to target users. The draft PCIQ-F questionnaire is ready for testing of its psychometric properties before the final version to measure the PCIC level in health facilities.
METHODS: A qualitative phenomenological approach with in-depth interview method was conducted in two tertiary hospitals in Kelantan, Malaysia. All women admitted to labour room, obstetrics and gynaecology wards and intensive care units in 2014 were screened for the presence of any vital organ dysfunction or failure based on the World Health Organization criteria for maternal near miss. Pregnancy irrespective of the gestational age was included. Women younger than 18 years old, with psychiatric disorder and beyond 42 days of childbirth were excluded.
RESULTS: Thirty women who had experienced maternal near miss events were included in the analysis. All were Malays between the ages of 22 and 45. Almost all women (93.3%) had secondary and tertiary education and 63.3% were employed. The women's perceptions of the quality of their care were influenced by the competency and promptness in the provision of care, interpersonal communication, information-sharing and the quality of physical resources. The predisposition to seek healthcare was influenced by costs, self-attitude and beliefs.
CONCLUSIONS: Self-appraisal of maternal near miss, their perception of the quality of care, their predisposition to seek healthcare and the social support received were the four major themes that emerged from the experiences and perceptions of women with maternal near miss. The women with maternal near miss viewed their experiences as frightening and that they experienced other negative emotions and a sense of imminent death. The factors influencing women's perceptions of quality of care should be of concern to those seeking to improve services at healthcare facilities. The addition of a maternal near miss case review programme, allows for understanding on the factors related to providing care or to the predisposition to seek care; if addressed, may improve future healthcare and patient outcomes.
SETTING: A cross-sectional study on public universities in Kuala Lumpur, Malaysia.
PARTICIPANTS: All participants in this study were international students joining public universities in Kuala Lumpur, Malaysia.
PRIMARY INDEPENDENT VARIABLE: Perceived quality of healthcare services measured on a SERVQUAL scale.
PRIMARY DEPENDENT VARIABLE: Participants' satisfaction of healthcare services assessed using five items.
SECONDARY DEPENDENT VARIABLE: Behavioural intentions measured on six items.
RESULTS: Of the 556 international students, 500 (90%) completed the survey. The study used structural equation modelling (SEM) through the AMOS (Analysis of Moment Structures) software to analyse the data. SEM analyses showed that the perceived quality of healthcare services significantly and directly affected satisfaction, with a value of 89% and an effect size of 0.78. It also had a significant indirect impact on the behavioural intentions (0.78) of international students. The results indicated that participants' satisfaction had a statistically significant impact on their behavioural intentions (0.77).
CONCLUSION: Perceived quality of care is an important driver of international students' satisfaction and their behavioural intention with healthcare services. Such relations of effects among the three investigated factors were also positive and significant.
Methods: A double-blinded randomised control trial involving 200 participants between the ages of 20 to 65 years old breast cancer patients was performed. Apart from those who refused participation, patients with chronic diseases and extreme baseline depression scores were also excluded. The control group received standard care twice a week from the social welfare services team facilitator compared to the intervention group that received additional psycho-education intervention programme (PEIP). The coping strategies were measured using the Brief-COPE inventory consisting of 28 items. It was administered on the second and 12th week of trial. The primary end point was compared between pre- and post-intervention. The effect of the intervention between groups, time, and covariates was measured using the generalised linear mixed model (GLMM) analysis.
Results: The mean (SD) of adaptive coping score among the intervention group increased from 5.63 (1.3) at baseline to 6.42 (1.3) at post-intervention. The mean avoidant coping score was 3.87 (1.1) at baseline but reduced to 3.69 (0.8) post-intervention. GLMM showed that women who received the intervention reported significantly higher usage of the adaptive coping strategies after attending the programme (B=0.921, p <0.001).
Conclusion: PEIP significantly improved knowledge of breast cancer patients. Thus, this programme may be considered as a part of the healthcare services in Jordan towards improving the adaptive coping strategies among breast cancer patients, which may point towards the potential for these services to increase adaptive coping strategies among patients in Jordan.
Implications for Public Health: PEIP may be considered as psychosocial intervention in public health and healthcare setting to address rising concerns on quality of care among breast cancer patients.
METHODS: An initial bibliometric analysis shows that the reviewed papers focused on Electromyogram(EMG), Electroencephalogram(EEG), Electrocardiogram(ECG), and Electrooculogram(EOG). These four categories were used to structure the subsequent content review.
RESULTS: During the content review, we understood that deep learning performs better for big and varied datasets than classic analysis and machine classification methods. Deep learning algorithms try to develop the model by using all the available input.
CONCLUSIONS: This review paper depicts the application of various deep learning algorithms used till recently, but in future it will be used for more healthcare areas to improve the quality of diagnosis.