MATERIALS AND METHODS: This descriptive study utilises a desk review approach and employs the WHO Data Quality Assurance (DQA) Tool to assess data quality of ASDK. The analysis involves measuring eight health indicators from ASDK and Survei Status Gizi Indonesia (SSGI) conducted in 2022. The assessment focuses on various dimensions of data quality, including completeness of variables, consistency over time, consistency between indicators, outliers and external consistency.
RESULTS: Current study shows that routine health data in Indonesia performs high-quality data in terms of completeness and internal consistency. The dimension of data completeness demonstrates high levels of variable completeness with most variables achieving 100% of the completeness.
CONCLUSION: Based on the analysis of eight routine health data variables using five dimensions of data quality namely completeness of variables, consistency over time, consistency between indicators, outliers. and external consistency. It shows that completeness and internal consistency of data in ASDK has demonstrated a high data quality.
MATERIALS AND METHODS: An online survey coupled with manual follow up was conducted throughout all MOH hospitals in Malaysia. Data collected described elements of the palliative care service(PCS) based on the WHO public health model. Data was computed using a novel matrix to determine three key indices which were the 1) palliative care development score (PCDS), 2)essential medications availability score (EMAS) and 3) opioid availability score (OAS). These scores then allowed mapping of PCS according to scores of 1-4 (1=least developed, 4=most developed).
FINDINGS: Out of all 140 MOH hospitals 88.6% (124) completed the PCDS survey, 120(85.7%) for the EMAS survey and 140 (100%) for the OAS survey. A total of 32(25.8%) hospitals had formal PCS with 8(25%) having resident palliative physicians (RPP), 8(25%) visiting palliative physicians(VPP) and 16(50%) no palliative physician (NPP). Out of these services, 17 (53%) had dedicated palliative care beds. In the PCDS survey, hospitals with PCS had significantly higher mean PCDS of 2.59 compared to 1.02 for non-PCS hospitals (P<0.001). The EMAS survey showed 109(90.8%) hospitals had EMAS of four and the OAS survey showed that 135(96.4%) hospitals had oral morphine available.
CONCLUSION: This study shows that palliative care service development in MOH hospitals is still very limited however, majority of MOH hospitals in Malaysia have all the essential medications and oral morphine available.
METHODS: A systematic literature review was conducted using two major databases: PubMed and Scopus. The systematic search targeted original studies conducted in Arab countries from 2000 to 2019. A conceptual framework was adopted from a previous study and was utilized to assess the irrational use of medicines and its influencing factors.
RESULTS: A total of 136 studies from 16 Arab countries were included. Almost all were cross-sectional studies. Most focused on evaluating the irrational use of medicines rather than investigating the cause. The number of medications per encounter was 2.3 which is within the limits of developed countries (2.7). The percentage of antibiotics per 100 encounter was 50.1% and the percentage of injections prescribed per 100 encounter was 15.2%. The consumption of antibiotic and injections was much higher than that recommended by WHO. At the same time, the review identified that one fourth of all medications were unnecessarily prescribed.
SUMMARY: The literature review revealed that the irrational use of medicine is prevalent in most Arab countries. Excessive use of antibiotics was the most commonly observed pattern. Therefore, there is a need to conduct further research to identify the factors that drive the irrational use of medicines in Arab countries and then to make recommendations to mitigate this issue.
METHODS: As data on policy indicators were straightforward and fully available, we focused on studying 25 non-policy indicators: 23 GMFs and 2 PMIs. Gathering data availability of the target indicators was conducted among NCD surveillance experts from the six selected countries during May-June 2020. Our research team found information regarding whether the country had no data at all, was using WHO estimates, was providing 'expert judgement' for the data, or had actual data available for each target indicator. We triangulated their answers with several WHO data sources, including the WHO Health Observatory Database and various WHO Global Reports on health behaviours (tobacco, alcohol, diet, and physical activity) and NCDs. We calculated the percentages of the indicators that need improvement by both indicator category and country.
RESULTS: For all six studied countries, the health-service indicators, based on responses to the facility survey, are the most lacking in data availability (100% of this category's indicators), followed by the health-service indicators, based on the population survey responses (57%), the mortality and morbidity indicators (50%), the behavioural risk indicators (30%), and the biological risk indicators (7%). The countries that need to improve their NCD surveillance data availability the most are Cambodia (56% of all indicators) and Lao PDR (56%), followed by Malaysia (36%), Vietnam (36%), Myanmar (32%), and Thailand (28%).
CONCLUSION: Some of the non-policy GMF and PMI indicators lacked data among the six studied countries. To achieve the global NCDs targets, in the long run, the six countries should collect their own data for all indicators and begin to invest in and implement the facility survey and the population survey to track NCDs-related health services improvements once they have implemented the behavioural and biological Health Risks Population Survey in their countries.
METHODS: A multi-centre study involving 21 laboratories worldwide generated data on the susceptibility of seven mosquito species (Aedes aegypti, Aedes albopictus, Anopheles gambiae sensu stricto [An. gambiae s.s.], Anopheles funestus, Anopheles stephensi, Anopheles minimus and Anopheles albimanus) to seven public health insecticides in five classes, including pyrethroids (metofluthrin, prallethrin and transfluthrin), neonicotinoids (clothianidin), pyrroles (chlorfenapyr), juvenile hormone mimics (pyriproxyfen) and butenolides (flupyradifurone), in glass bottle assays. The data were analysed using a Bayesian binomial model to determine the concentration-response curves for each insecticide-species combination and to assess the within-bioassay variability in the susceptibility endpoints, namely the concentration that kills 50% and 99% of the test population (LC50 and LC99, respectively) and the concentration that inhibits oviposition of the test population by 50% and 99% (OI50 and OI99), to measure mortality and the sterilizing effect, respectively.
RESULTS: Overall, about 200,000 mosquitoes were tested with the new bottle bioassay, and LC50/LC99 or OI50/OI99 values were determined for all insecticides. Variation was seen between laboratories in estimates for some mosquito species-insecticide combinations, while other test results were consistent. The variation was generally greater with transfluthrin and flupyradifurone than with the other compounds tested, especially against Anopheles species. Overall, the mean within-bioassay variability in mortality and oviposition inhibition were health insecticides currently deployed for vector control. The datasets presented in this study have been used recently by the WHO to establish 17 new insecticide discriminating concentrations (DCs) for either Aedes spp. or Anopheles spp. The bottle bioassay and DCs can now be widely used to monitor baseline insecticide susceptibility of wild populations of vectors of malaria and Aedes-borne diseases worldwide.
METHODS: National principal investigators from 30 countries were asked if the original PIS/ICF was edited in their countries and, if so, to share with us the one used to recruit participants. We assessed whether the 25 different elements of information from the good clinical practice guidelines and the Declaration of Helsinki were present in, deficiently described, or absent from the PIS/ICFs.
RESULTS: Nineteen national principal investigators responded: eight (Argentina, Brazil, Ethiopia, Georgia, Iran, Lebanon, Lithuania, and Malaysia) stated that no edits were introduced to the original PIS/ICF; eight (Canada, Colombia, Philippines, India, Ireland, Pakistan, Portugal, and Switzerland) added some elements of information in the national PIS/ICF; and three (Italy, Peru, and Spain) reported not participating in the trial. None of the elements included in the original PIS/ICF were omitted from the edited PIS/IFC. Six elements of information were omitted and five deficiently described in the original PIS/ICF. The number of elements omitted from the edited PIS/ICFs varied (range = 2-5). Nine PIS/ICFs incompletely described or omitted the informing of study participants about the study results, while five deficiently described or omitted the anticipated expenses for trial participation. Information concerning whom to contact for more information or in case of injury was deficient in six PIS/ICFs. Unlike the original PIS/ICF, all edited PIS/ICFs informed participants about the existence of compensation or treatment for any injury related to the trial.
CONCLUSIONS: WHO should consider adding three of the omitted elements in PIS/ICFs of future multinational similar trials.
DESIGN: Cross-sectional.
SETTING: 14 countries.
PARTICIPANTS: Surveyed population ≥15 years selected through multi-stage cluster sampling.
PRIMARY AND SECONDARY OUTCOME MEASURES: We selected 14 countries from 6 different WHO regions where GATS was conducted in different years during 2011-2017.
RESULTS: Awareness and usage of e-cigarette were highest in Greece and lowest in India. Females were less aware of e-cigarette across ages. The gender gap in awareness is wide in Greece post 50 years of age, while the gap is distinct in early ages in Kazakhstan and Qatar. The gender difference in use of e-cigarette was negligible in most of the countries except among the younger cohorts of Russia, Philippines Malaysia and Indonesia. Relatively higher prevalence of e-cigarette smoking among females in the older adult age was observed in some of the Asian countries like India. Multivariate analysis indicates that those who were younger, male, residing in urban areas, current tobacco smokers were more likely to use e-cigarette than their counterparts. Though prevalence of e-cigarette use increased with wealth and education, such pattern is not strong and consistent. Promotional advertisement plays important role in higher use of e-cigaratte. The predicted national prevalence of e-ciragette use was highest in Malaysia .
CONCLUSIONS: E-cigarette use is more among urban adults, current smokers, males and in countries with promotional advertisement of e-cigarette. Area specific interventions are needed to understand the nature of e-cigarette use. Russia, Ukraine, Costa Rica and Mexico need better understanding to explore whether e-cigaratte use is an indulgence to new mode of addiction, as youth being highly likely to adopt this practice.