MATERIALS AND METHODS: A literature search was done from June 2019 to November 2019 with restrictions to the English language. The search was performed in ScienceDirect, PubMed, and EMBASE databases, using a combination of search terms related to drones, Unmanned Aerial Vehicles (UAV), Unmanned Aerial Systems (UAS), maternal, obstetric, healthcare, medical products transportation and Malaysia. A discourse analysis followed and a narrative review was provided on this subject.
RESULTS AND DISCUSSION: The validated ability of drones in the delivery of blood products is highlighted as a possible application in improving maternal healthcare in Malaysia, particularly in the state of Sabah. Five key challenges are identified: infrastructure, technicalities, regulations, expertise, and social acceptance. Future predictions of drone technology in healthcare were outlined with the suggestion of three principle arms of application.
CONCLUSION: The usage of the medical drone in medical products transportation supports the objectives of WHO MDG 5 for Malaysian maternal health. A study on the impact of drones in reducing the maternal mortality ratio is recommended for further exploration.
METHODS: This review aims to identify the labels and associated descriptors used by practitioners to describe DBS techniques, as a first step in developing a shared terminology for DBS techniques. Following registration of a protocol, a scoping review limited to Clinical Practice Guidelines only was undertaken to identify the labels and descriptors used to refer to DBS techniques.
RESULTS: From 5317 screened records, 30 were included, generating a list of 51 distinct DBS techniques. General anaesthesia was the most commonly reported DBS (n = 21). This review also explores what term is given to DBS techniques as a group (Behaviour management was most commonly used (n = 8)) and how these techniques were categorized (mainly distinguishing between pharmacological and non-pharmacological).
CONCLUSIONS: This is the first attempt to generate a list of techniques that can be selected for patients and marks an initial step in future efforts at agreeing and categorizing these techniques into an accepted taxonomy, with all the benefits this brings to research, education, practice and patients.
METHODS: The development process was managed by a technical working group led by the Institute for Health Systems Research in the Ministry of Health. Situational analysis was conducted through a multi-pronged approach, underpinned by a review of the past and present healthcare sectoral and quality plans and guided by the WHO NQPS framework. This approach involved: (i) review of quality-related policy documents, (ii) online surveys of healthcare providers and the public, (iii) key-informant facilitated discussions and (iv) mapping of existing quality improvement initiatives (QIIs). Data gathered from these approaches informed the content of the new policy. Following thematic analysis, the findings were grouped into specific domains, which were then organized into a strengths, weaknesses, opportunities, and threats (SWOT) framework.
RESULTS: Ten key areas of concern identified were (i) a people-centred holistic approach, (ii) governance for quality, (iii) resources, (iv) quality culture, (v) stakeholder engagement, (vi) health management information system, (vii) workforce competency, (viii) knowledge exchange, (ix) quality indicators and (x) monitoring and evaluation of quality activities. These led to the formulation of seven strategic priorities for the planning of improvements aimed at addressing the key areas of concern. The national definition of quality was affirmed. A total of 40 QIIs were mapped and grouped into three broad categories, namely (i) regulatory, (ii) domain-specific QIIs and (iii) Quality Improvement (QI) method.
CONCLUSIONS: The National Policy for Quality in Healthcare for Malaysia was developed through a comprehensive situational analysis using a multi-method approach that identified priorities across national, state, institutional and community levels. This evidence-informed approach led to meaningful contextual adaptation of the NQPS framework to shape the strategic direction to advance quality and achieve effective and safe outcomes for all Malaysians.
MATERIALS AND METHODS: A literature search was performed across PubMed, EMBASE, Emerald Insight and grey literature sources. The key terms used in the search include 'distribution', 'method', and 'physician', focusing on research articles published in English from 2002 to 2022 that described methods or tools to measure hospital-based physicians' distribution. Relevant articles were selected through a two-level screening process and critically appraised. The primary outcome is the measurement tools used to assess the distribution of hospital-based physicians. Study characteristics, tool advantages and limitations were also extracted. The extracted data were synthesised narratively.
RESULTS: Out of 7,199 identified articles, 13 met the inclusion criteria. Among the selected articles, 12 were from Asia and one from Africa. The review identified eight measurement tools: Gini coefficients and Lorenz curve, Robin Hood index, Theil index, concentration index, Workload Indicator of Staffing Need method, spatial autocorrelation analysis, mixed integer linear programming model and cohortcomponent model. These tools rely on fundamental data concerning population and physician numbers to generate outputs. Additionally, five studies employed a combination of these tools to gain a comprehensive understanding of physician distribution dynamics.
CONCLUSION: Measurement tools can be used to assess physician distribution according to population needs. Nevertheless, each tool has its own merits and limitations, underscoring the importance of employing a combination of tools. The choice of measuring tool should be tailored to the specific context and research objectives.
METHODS: Novel LMIC radiotherapy demand and outcome models were created by adjusting previously developed models that used HIC cancer staging data. These models were applied to the cancer case mix (ie, the incidence of each different cancer) in each LMIC in the Asia-Pacific region to estimate the current and projected optimal radiotherapy utilisation rate (ie, the proportion of cancer cases that would require radiotherapy on the basis of guideline recommendations), and to estimate the number of megavoltage machines needed in each country to meet this demand. Information on the number of megavoltage machines available in each country was retrieved from the Directory of Radiotherapy Centres. Gaps were determined by comparing the projected number of megavoltage machines needed with the number of machines available in each region. Megavoltage machine numbers, local control, and overall survival benefits were compared with previous data from 2012 and projected data for 2040.
FINDINGS: 57 countries within the Asia-Pacific region were included in the analysis with 9·48 million new cases of cancer in 2020, an increase of 2·66 million from 2012. Local control was 7·42% and overall survival was 3·05%. Across the Asia-Pacific overall, the current optimal radiotherapy utilisation rate is 49·10%, which means that 4·66 million people will need radiotherapy in 2020, an increase of 1·38 million (42%) from 2012. The number of megavoltage machines increased by 1261 (31%) between 2012 and 2020, but the demand for these machines increased by 3584 (42%). The Asia-Pacific region only has 43·9% of the megavoltage machines needed to meet demand, ranging from 9·9-40·5% in LMICs compared with 67·9% in HICs. 12 000 additional megavoltage machines will be needed to meet the projected demand for 2040.
INTERPRETATION: The difference between supply and demand with regard to megavoltage machine availability has continued to widen in LMICs over the past decade and is projected to worsen by 2040. The data from this study can be used to provide evidence for the need to incorporate radiotherapy in national cancer control plans and to inform governments and policy makers within the Asia-Pacific region regarding the urgent need for investment in this sector.
FUNDING: The Regional Cooperative Agreement for Research, Development and Training Related to Nuclear Science and Technology for Asia and the Pacific (RCA) Regional Office (RCARP03).
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.