scholarly journals Evaluasi Surveilans Faktor Risiko Penyakit Tidak Menular (PTM) Berbasis Data Kegiatan “Posbindu PTM”

2020 ◽  
Vol 30 (3) ◽  
Author(s):  
Ekowati Rahajeng ◽  
Mugi Wahidin

Abstract Since 2013, Directorate of NCD Prevention and Control has conducted web-based NCD risk factors surveillance with the data source from the ‘Posbindu PTM’ activity. Evaluation of the surveillance should be conducted periodically to assess achievement of objectives and target benefits. However, since the surveillance conducted nationally, there has not been a specific evaluation. This article aimed to obtain information about the utilization and problems in implementing NCD risk factors surveillance based on “Posbindu PTM” data. The research method was carried out through a systematic review of articles related to the implementation of NCD risk factor surveillance based on Posbindu PTM data in 2014 to 2020. The articles were searched using a search engine with keywords NCD surveillance, Posbindu PTM, Posbindu surveillance, in June 2020. There were 12 articles that match the keywords and five articles that meet the criteria. The results of the review showed that the data collection instruments of and technical guideline for surveillance of web-based NCD risk factors can be utilized by surveillance officers. The web information system is considered simple, acceptable, has high sensitivity and stability, and is timely. Automatic data collection, processing and analysis greatly facilitate surveillance. The results of the information system analysis are in accordance with the planning requirement. The results of surveillance are useful for outreach / counseling and for student research. The problems in implementing surveillance are the limited number of trained officers, no operational budget, limited population coverage, lack of infrastructure, interference with internet signals and limited peladens. Officers generally have not interpreted the results and disseminate less because of their limited abilities. The web-based PTM risk factor surveillance based on “Posbindu PTM” activity data can be implemented, but not systematically. Increasing the number and capacity of officers, especially in data interpretation improvement of surveillance facility is necessary to increase the benefits and achievement of the goal of prevention and control of PTM/NCD in the community. Abstrak Sejak tahun 2013, Direktorat Pencegahan dan Pengendalian Penyakit Tidak Menular (P2PTM) menyelenggarakan surveilans faktor risiko PTM berbasis web dengan sumber data kegiatan “Posbindu PTM”. Evaluasi surveilans seharusnya dilakukan secara periodik untuk menilai pencapaian tujuan dan manfaat yang ditargetkan. Namun, semenjak surveilans diselenggarakan secara nasional belum dilakukan evaluasi secara khusus. Artikel ini bertujuan memperoleh informasi tentang pemanfaatan dan permasalahan dalam pelaksanaan surveilans faktor risiko PTM bersumber data Posbindu PTM. Metode penelitian dilakukan melalui tinjauan secara sistematik terhadap artikel terkait pelaksanaan surveilans faktor risiko PTM bersumber data Posbindu PTM pada tahun 2014-2020. Pencarian artikel menggunakan mesin pencari dengan kata kunci surveilans PTM, Posbindu PTM, dan surveilans Posbindu pada Juni 2020. Terdapat 12 artikel yang sesuai kata kunci dan lima artikel yang memenuhi kriteria. Hasil tinjauan menunjukkan instrumen pengumpulan data dan petunjuk teknis surveilans faktor risiko PTM berbasis web dapat dimanfaatkan petugas surveilans dengan baik. Sistem informasi web dinilai sederhana, akseptabel, memiliki sensitivitas serta stabilitas tinggi, dan tepat waktu. Pengumpulan, pengolahan, dan analisis data secara otomatis sangat mempermudah pelaksanaan surveilans. Hasil analisis sistem informasi sudah sesuai kebutuhan perencanaan. Hasil surveilans bermanfaat untuk penyuluhan/ konseling dan untuk penelitian mahasiswa. Permasalahan pelaksanaan surveilans adalah keterbatasan jumlah petugas terlatih, tidak adanya anggaran operasional, keterbatasan cakupan penduduk, kurangnya sarana prasarana, gangguan sinyal internet, dan keterbatasan peladen (server). Petugas umumnya belum menginterpretasikan hasil dan kurang melakukan diseminasi karena keterbatasan kemampuan. Surveilans Faktor Risiko PTM berbasis web bersumber data kegiatan ‘Posbindu PTM’ dapat dilaksanakan, namun belum sistematik. Peningkatan jumlah dan kemampuan petugas, khususnya dalam interpretasi data, peningkatan sarana prasarana surveilans perlu dilakukan untuk meningkatkan manfaat serta pencapaian tujuan pencegahan dan pengendalian PTM di masyarakat.

2020 ◽  
pp. 1-7
Author(s):  
Sharif S. Aly ◽  
Betsy M. Karle ◽  
Deniece R. Williams ◽  
Gabriele U. Maier ◽  
Sasha Dubrovsky

Abstract Bovine respiratory disease (BRD) is the leading natural cause of death in US beef and dairy cattle, causing the annual loss of more than 1 million animals and financial losses in excess of $700 million. The multiple etiologies of BRD and its complex web of risk factors necessitate a herd-specific intervention plan for its prevention and control on dairies. Hence, a risk assessment is an important tool that producers and veterinarians can utilize for a comprehensive assessment of the management and host factors that predispose calves to BRD. The current study identifies the steps taken to develop the first BRD risk assessment tool and its components, namely the BRD risk factor questionnaire, the BRD scoring system, and a herd-specific BRD control and prevention plan. The risk factor questionnaire was designed to inquire on aspects of calf-rearing including management practices that affect calf health generally, and BRD specifically. The risk scores associated with each risk factor investigated in the questionnaire were estimated based on data from two observational studies. Producers can also estimate the prevalence of BRD in their calf herds using a smart phone or tablet application that facilitates selection of a true random sample of calves for scoring using the California BRD scoring system. Based on the risk factors identified, producers and herd veterinarians can then decide the management changes needed to mitigate the calf herd's risk for BRD. A follow-up risk assessment after a duration of time sufficient for exposure of a new cohort of calves to the management changes introduced in response to the risk assessment is recommended to monitor the prevalence of BRD.


Author(s):  
Desi Maya Kristin ◽  
Yuliana Lisanti

This information system is used as a solution that can help to meet the requirements of the couples. The research methods are data collection, analysis and design. Data collection method implemented by surveys including interviews with 58 clients, 15 vendors, and 12 WO (Wedding Organizer) and by literature study that includes books and journal related. Object oriented is used as the method for system analysis and design. The result is a web based information system that connects vendors and clients in one online place. The web based application can be used to book the reception hall, catering food for guests, entertainments, bridal, car loan, prewed and receptions photos. The benefits of the web based applications are user can costumize or choose the packages, check the price information and get reports related to Wedding Organizer Order Management business process. The results of the qualitative interviews to 58 clients who already used the applications is the client get shorter time compare to clients who manage their own wedding reception.


2021 ◽  

This regional report on the situation of tuberculosis (TB) in the Americas contains information from 2019, provided by the countries of the Region through the World Health Organization TB data collection system. These data have been consolidated and analyzed at the regional level. In addition to presenting the epidemiological and programmatic situation of TB in the Americas, the report aims to raise awareness and to motivate and encourage all stakeholders in the prevention and control of this disease, to accelerate efforts towards TB elimination in the Region, and to achieve the targets of the End TB Strategy. The report records the Region's achievements, but also the gaps in the work being carried out in diagnosis, treatment, comorbidities, vulnerable populations, risk factors, and funding, among other issues. Based on the information presented, specific recommendations are provided for further progress.


Author(s):  
Vineet Saini ◽  
Kelsey Berg

Session topic areaData science methods: machine learning in risk factor surveillance Overall objectives or goalBackgroundDecades of research have shown that factors such as living conditions, and not just medical treatments and lifestyles, are strongly associated with the health of individuals and populations. These distal factors (social, economic, cultural and environmental) are collectively called the social determinants of health (SDOH), and affect health inequities (i.e. differences in health outcomes that are avoidable, unfair and unjust). Gathering data on both risk factors (biomedical/clinical) and SDOH is of the utmost importance to quantify their contribution in disease causation at individual and population levels. Social determinants of health and biomedical/clinical risk factors surveillance (collectively termed as “risk factor surveillance”) refers to the monitoring of distal and proximal factors that impact the health of individuals and populations and health equity. It offers the opportunity to “forecast” population health, potential disease incidence, and guide intervention programs to prevent disease manifestation. However, current risk factor surveillance data is limited in geographical representation, completion, and content and time. Identifying novel methods of collecting risk factors and SDOH data can allow for opportunities for population health and disease forecasting using high quality, nationally-representative, real-time data. Recent breakthroughs in artificial intelligence (AI), such as speech and image recognition, offers new opportunities to develop novel methods to collect risk factor information at individual levels. Meanwhile, we can use intelligent computer systems to process vast amount of data and turn those data into actionable information and knowledge for improving population health. Collaborative Session ObjectiveThrough a CIHR-funded project, we are assembling a team of national and international experts including stakeholders, public health officers/physicians, and researchers, who will identify key gaps in risk factor surveillance and data collection technologies. Resulting projects will focus on using AI for risk factor surveillance, for the ultimate purpose of monitoring population health, guiding intervention programs, and preventing disease. Our projects will focus on discovering and refining innovative methods in data collection, management, as well as assessment of data quality (i.e. selection bias). We will engage scientists and knowledge users from the inception of the ideas to ensure the relevancy of the final projects. This project aims to link medical records, clinical information, and SDOH data, to alter the way we conduct surveillance and work with big data. Facilitators involved; home institutions Dr. Vineet Saini, University of Calgary; Alberta Health Services Dr. Mingkai Peng, University of Calgary Dr. Hude Quan, University of Calgary; World Health Organization Collaborating Centre for Classification, Measurement and Standardization Intended output or outcome Identify AI technologies for use in risk factor surveillance; innovative methods in data collection, management, as well as assessment of data quality (i.e. selection bias); uses for new data sources in improving health equity. Create partnerships between national and international experts in risk factor surveillance


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 122s-122s
Author(s):  
I. Kataria ◽  
M. Siddiqui ◽  
L. Squiers ◽  
P.K. Dhillon ◽  
T. Gillespie ◽  
...  

Background: Noncommunicable diseases (NCDs), including cancer, account for approximately 38 million deaths each year, and almost 75% of these deaths occur in low and middle-income countries. NCDs contribute to 60% of total deaths in India, and of concern are the premature deaths, which account for a staggering 48% mortality and can be prevented. Aim: Establish a consensus research agenda for cancer and NCD prevention and control that has the potential to impact polices, programs and health care delivery. Methods: To develop a NCD research agenda for India, we engaged our community collaborative board (CCB), which included NCD-focused global, national- and state-level stakeholders, and our scientific advisory group (SAG), which included global and national NCD experts, in a three-step process using two Web-based surveys and one in-person meeting. First, we used Delphi methodology to generate topics. Eighteen stakeholders from both CCB and SAG responded to the first Web-based survey generating 165 research ideas during the first round. After accounting for clustering and duplication, we had 56 unique research ideas. Second, these ideas were deliberated upon during the in-person meeting where each participant with a set of 10 stickers placed them next to the research priority(ies) that they felt are important for prevention and control of cancer and NCDs in India. This generated 23 research ideas, which were subjected to SWOT analysis in pairs by the stakeholders using Snowcard methodology with SAG and CCB. The stakeholders prioritized the shortlisted topics based on level of effort and potential to impact NCDs in India. Finally, 15 low effort, high impact priority research ideas for various health outcomes across research disciplines were identified based on discussion with the larger group to reach consensus. The second Web-based survey resulted in identification of 5 key priority research ideas by all stakeholders as being the most important. Results: The 5 prioritized research ideas in order of importance are: (1) development of interventions to empower primary physicians and health workers in early diagnosis of NCDs; (2) evaluation of health system strengthening programs for NCD control; (3) feasibility of integrated care models at primary care level to address multimorbid chronic conditions; (4) development of India specific methods and tools for monitoring trends on NCD morbidity, mortality and risk factors; and (5) identification of effective strategies to mobilize individuals toward NCD screening activities. Conclusion: Development of a consensus research agenda for India is a critical gap needed to pursue resources required to address pressing needs in cancer and other NCDs. The rising mortality and morbidity resulting from cancer and NCDs with similar risk factors, warrants the timely implementation of this agenda. This will generate the evidence-base from which new policies and practices can be used to reduce cancer and other NCDs in India.


2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Yohana Desy Chrissetiyantari ◽  
Elly Muningsih

Abstract - In Goa Maria Catholicism the center for pilgrimage and devotion to Mary, its existence has a long history. Goa Maria Lourdes Sendangsono is one of the pilgrimage places visited by many Catholics, because of the availability of prayer facilities that support comfort on pilgrimage. Another interesting thing is the prayer service box that is provided for pilgrims who want to submit prayer requests, which later will be prayed for during the Eucharistic service. But the prayer service box is considered to be less effective and efficient than that as well as a lack of information for pilgrims about Goa Maria Lourdes Sendangsono. This website is expected to make it easier for pilgrims to get information about Goa Maria Lourdes Sendangsono and facilitate the delivery of prayer requests online. Data collection methods used in research include observation, interviews, literature studies and documentation. While the software development method uses the waterfall method. In the end, the information system of the web-based Pilgrimage Site of Goa Maria Lourdes Sendangsono is an effective and efficient means of information because it covers a wider area.Keywords : prayer requests, website, waterfall method, means of informationAbstrak - Di dalam Agama Katolik Goa Maria menjadi pusat untuk berziarah dan devosi kepada Maria, keberadaannya mempunyai sejarah panjang. Seperti Goa Maria Lourdes Sendangsono yang menjadi salah satu tempat ziarah yang banyak dikunjungi oleh orang Katolik, karena tersedianya fasilitas-fasilitas doa yang mendukung kenyamanan dalam berziarah. Hal menarik lainnya yaitu kotak layanan doa yang disediakan bagi peziarah yang ingin menyampaikan permohonan doa, yang nantinya doa akan diujubkan pada saat ibadah Ekaristi. Namun kotak layanan doa dirasa kurang efektif dan efisien selain itu juga kurangnya informasi bagi peziarah tentang Goa Maria Lourdes Sendangsono. Perancangan website ini diharapkan dapat memudahkan peziarah mendapatkan informasi seputar Goa Maria Lourdes Sendangsono serta memudahkan penyampaian permohonan doa secara online. Metode pengumpulan data yang digunakan dalam penelitian antara lain dengan observasi, wawancara, studi pustaka dan dokumentasi. Sedangkan metode pengembangan perangkat lunak menggunakan metode waterfall. Pada akhirnya sistem informasi Tempat Ziarah Goa Maria Lourdes Sendangsono berbasis web sebagai sarana informasi yang efektif dan efisien karena mencakup wilayah yang lebih luas.Kata Kunci : permohonan doa, website, metode waterfall, sarana informasi


2019 ◽  
Vol 9 (1) ◽  
pp. 36
Author(s):  
Fatoni Fatoni Fatoni ◽  
Agus Sujarwadi

Inventory system is a system that serves to know the inventory of goods in a place. Inventory systems are widely used or developed in a place with a variety of technologies. The existing problem at cooperative kasongan business together is not yet availability of inventory system of goods not efficient so that, when employees perform data collection sometimes still occur miscalculation because in data collection goods not yet computerized. Therefore, in this final project will be built web-based inventory information system,so that information about the stock of goods available in cooperative can be known clearly and in detail.      This inventory application is built using the programming language Php and mysql as database and several other stages in the design of this system. The stages in the design of this system is the analysis and design of systems, system design, coding, system implementation and system testing.      Based on the concept and design of this system then, it can be concluded that the web-based inventory of goods applications was built with the aim that in the management of data entry and discharge of goods more orderly and computerized so as to avoid the problem of miscalculation done by employees when collecting goods in cooperative Bantul.


Sensi Journal ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 236-246
Author(s):  
Ilamsyah Ilamsyah ◽  
Yulianto Yulianto ◽  
Tri Vita Febriani

The right and appropriate system of receiving and transferring goods is needed by the company. In the process of receiving and transferring goods from the central warehouse to the branch warehouse at PDAM Tirta Kerta Raharja, Tangerang Regency, which is currently done manually is still ineffective and inaccurate because the Head of Subdivision uses receipt documents, namely PPBP and mutation of goods, namely MPPW in the form of paper as a submission media. The Head of Subdivision enters the data of receipt and mutation of goods manually and requires a relatively long time because at the time of demand for the transfer of goods the Head of Subdivision must check the inventory of goods in the central warehouse first. Therefore, it is necessary to hold a design of information systems for the receipt and transfer of goods from the central warehouse to a web-based branch warehouse that is already database so that it is more effective, efficient and accurate. With the web-based system of receiving and transferring goods that are already datatabed, it can facilitate the Head of Subdivision in inputing data on the receipt and transfer of goods and control of stock inventory so that the Sub Head of Subdivision can do it periodically to make it more effective, efficient and accurate. The method of data collection is done by observing, interviewing and studying literature from various previous studies, while the system analysis method uses the Waterfall method which aims to solve a problem and uses design methods with visual modeling that is object oriented with UML while programming using PHP and MySQL as a database.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Thang Nguyen-Tien ◽  
Duy Cuong Do ◽  
Xuan Luat Le ◽  
Thi Hai Dinh ◽  
Mats Lindeborg ◽  
...  

Abstract Background Dengue is a mosquito-borne flavivirus present in many metropolitan cities of tropical countries. Methods During and after the dengue season (September 2018 to January 2019), we conducted a case-control study in order to determine the risk factors for dengue fever in Hanoi city, Vietnam. 98 dengue patients and 99 patients with other acute infections, such as Hepatitis B virus infection, were recruited at Department of Infectious Disease of Bach Mai national hospital in Hanoi. Patients were interviewed using a structured questionnaire covering demographic, housing, environmental factors and knowledge, attitude, and practice on dengue prevention and control. Univariate analysis and multivariable logistic regression were used to determine the risk factors of dengue status. Results The mean score of knowledge items and practice items was only 7.9 out of total 19 points and 3.9 out of total 17 points, respectively. While the mean score of attitude items was 4.8 out of total 6 points. Multivariable logistic regression indicated that older patients had lesser risk of getting dengue infection as compared to younger adults aged 16–30, and patients living in peri-urban districts were less likely to suffer of dengue fever than patients living in central urban districts (OR = 0.31; 95% CI 0.13–0.75). This study could not find any association with occupation, water storage habit, knowledge, attitude, or practice on dengue prevention. Conclusions All patients had a relatively low level of knowledge and practice on dengue prevention and control. However, the attitude of the participants was good. We found that age group and living district were the risk factors correlated with the dengue status. Communication programs on raising dengue awareness should be repeated all year round and target particular groups of adolescents, younger adults, landlords and migrants from other provinces to improve their knowledge and encourage them to implement preventive measures against dengue fever.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhijie Zhang ◽  
Yu Cao ◽  
Yanjian Li ◽  
Xufang Chen ◽  
Chen Ding ◽  
...  

Abstract Background Candida pelliculosa is an ecological fungal species that can cause infections in immunocompromised individuals. Numerous studies globally have shown that C. pelliculosa infects neonates. An outbreak recently occurred in our neonatal intensive care unit; therefore, we aimed to evaluate the risk factors in this hospital-acquired fungal infection. Methods We performed a case-control study, analysing the potential risk factors for neonatal infections of C. pelliculosa so that infection prevention and control could be implemented in our units. Isolated strains were tested for drug resistance and biofilm formation, important factors for fungal transmission that give rise to hospital-acquired infections. Results The use of three or more broad-spectrum antimicrobials or long hospital stays were associated with higher likelihoods of infection with C. pelliculosa. The fungus was not identified on the hands of healthcare workers or in the environment. All fungal isolates were susceptible to anti-fungal medications, and after anti-fungal treatment, all infected patients recovered. Strict infection prevention and control procedures efficiently suppressed infection transmission. Intact adhesin-encoding genes, shown by genome analysis, indicated possible routes for fungal transmission. Conclusions The use of three or more broad-spectrum antimicrobials or a lengthy hospital stay is theoretically associated with the risk of infection with C. pelliculosa. Strains that we isolated are susceptible to anti-fungal medications, and these were eliminated by treating all patients with an antifungal. Transmission is likely via adhesion to the cell surface and biofilm formation.


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