Ni Ketut aryastami - Academia.edu (original) (raw)
Papers by Ni Ketut aryastami
The Health Information System (HIS) in Ministry of Health Republic of Indonesia (MOH-RI) was deve... more The Health Information System (HIS) in Ministry of Health Republic of Indonesia (MOH-RI) was developed for supporting the policy and strategy in health program management. However, the decision making process has not been supported completely by the 'promising' HIS. Since mid 1998, the new approach of integrated information system was introduced. Meanwhile, work is under way in building a data
Media Penelitian dan Pengembangan Kesehatan, 2002
<p>So far, limited research has been done on inequity and inequality in health care utilisa... more <p>So far, limited research has been done on inequity and inequality in health care utilisation in Indonesia. As anywhere else in the world, wealth and education are unequally distributed over the population. Need of health care is a major determinant which should affect use to health services. Using data from the 1997</p> <p>Indonesia Demographic and Health Survey and the concentration index approach, models of access to preventive care in children age 12-23 months, pregnancy related care for mothers as well as curative care for children five years old or less is estimated. Asset scores are used to analyse whether health care utilisation of children and mothers is correlated to household wealth.</p> <p>Significant inequity has been found in the utilisation of health care by wealth. Access to preventive care for children immunisation and pregnancy related care (tetanus injection, first visit for antenatal care, place for antenatal care, place for delivery, professional assistance for delivery) as well as curative care (medical treatment for diarrhoea and ARJ) tend to be significantly different by household wealth. Wealthier mothers use more health services than poorer mothers do. An exception to this rule is treatment for diarrhoea and ARI. This may be explained by measurement error. Need (health care), urban-rural residence and education are confounding that are found to reduce the concentration indices for use. Horizontal equity principle is violated, in the sense that mothers in equal need are found to be treated unequally.</p>
Research Square (Research Square), Jan 13, 2020
Background Although infrequent, use of traditional birth attendants (TBA) for delivery still exis... more Background Although infrequent, use of traditional birth attendants (TBA) for delivery still exists in Indonesia. The maternal mortality ratio (MMR) at 305 deaths per 100,000 live births in Indonesia is higher than that of the Southeast Asian region (240), and continued use of TBA is suspected to be related to this high MMR. The objective of this analysis is to study the influence of traditional practices, family structure, and TBA density on the use of maternal health services in Indonesia. Methods Secondary data analysis involved data from two national surveys-Riset Kesehatan Dasar (Riskesdas)
BMJ Open
ObjectiveThis paper analyses the optimal utilization of maternal health services in Indonesia fro... more ObjectiveThis paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018.DesignNational cross-sectional study.SettingThis study takes place in 34 provinces in Indonesia.ParticipantsThe population in this study were mothers in all household members in Basic Health Research of Riskesdas 2018. The sample was all mothers who had a live birth within 5 years before data collection (1 January 2013 to July 2018) and had complete data. The number of samples analysed was 70 878.Primary outcomeWe developed a scoring for the optimal utilization of maternal health services as the outcome variable.ResultsThis analysis involved 70 787 mothers. The utilization of maternal care was not optimal. Mothers who delivered in health facilities achieved 83.3% of services. Better care is experienced more by mothers who live in urban areas. Mothers who delivered at health facilities significantly used threefold optimal care (ORa=3.15; 95% CI 3.00 to 3.30; p<0001). A s...
Pusat Humaniora, Kebijakan Kesehatan dan Pemberdayaan Masyarakat, 2013
BMC Nutrition, Feb 7, 2017
Background: Stunting among toddlers is highly prevalent in Indonesia. As a chronic malnutrition p... more Background: Stunting among toddlers is highly prevalent in Indonesia. As a chronic malnutrition problem, stunting is closely related to internal (maternal health) and external factors such as feeding practices, illness and socio-economics of the community. The purpose of this study was to analyze the relationship between low birth weight (LBW), child feeding practices and neonatal illness with stunting among Indonesian toddlers. Methods: For this study, we took data from the 2010 Indonesian National Basic Health Survey (RISKESDAS). Totally 3024 children aged of 12-23 months included in this analysis. Stunting was measured using standardized body length and was defined based on criteria from WHO AnthroII.PC2007. Data analysis was done through bivariate and multivariate logistic regressions. Results: The results showed that the prevalence of stunting among Indonesian toddlers (12 23 months) was 40.4%. Early initiation of breast-feeding and exclusive breast feeding was experienced by 42.7% and 19.7% of the babies. More than half of the babies were given pre-lacteal feeds, while early complementary feeding was given to 68.5% of the subjects. Multivariate analysis showed infants born with LBW were 1.74 times more likely to be stunted (95% CI 1.38-2.19) than those born with normal weight. Boys were 1.27 times (95% CI 1.10-1.48) more likely to be stunted than girls. Infants with a history of neonatal illness, they were 1.23 times (95% CI 0.99-1.50) more susceptible to stunting. Being poor was another indirect variable that significantly associated with stunting (OR = 1.3, 95% CI 1.12-1.51). Conclusion: LBW, gender (boys), history of neonatal illness and poverty are factors related to stunting among children aged 12-23 months in Indonesia, with LBW being the major determinant of stunting.
Health Science Journal of Indonesia, 2020
Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pa... more Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pandemic di akhir tahun 2019. Kota Wuhan (China) merupakan lokasi pertama terdeteksinya kasus COVID-19. Tanpa adanya kecurigaan apapun penyakit ini dengan cepatnya menyebar ke seluruh dunia mengikuti alur mobilitas manusia. Dalam kondisi tersebut sistem kesehatan di setiap negara tampak kelabakan khususnya dalam pengendalian transmisi penyakit. Studi ini ingin mengidentifikasi kesiapan jejaring laboratorium kesehatan di Indonesia. Metode: Penilaian cepat dilakukan terhadap ketersediaan dan kesiapan laboratoriaum dalam pennanganan pandemi Covid-19. Pengumpulan data dilakukan melalui pengisian questioner yang dikirim secara elektronik. Waktu pelaksanaan adalah minggu ketiga dan keempat, Maret 2020. Terdapat 44 laboratorium jejaring laboratorium dibawah Kementerian Kesehatan yang menjadi subjek penelitian, dan sebanyak 33 yang merespon secara lengkap Variabel ketersediaan, kecukupan dan kebu...
Health Science Journal of Indonesia, 2020
Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pa... more Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pandemic di akhir tahun 2019. Kota Wuhan (China) merupakan lokasi pertama terdeteksinya kasus COVID-19. Tanpa adanya kecurigaan apapun penyakit ini dengan cepatnya menyebar ke seluruh dunia mengikuti alur mobilitas manusia. Dalam kondisi tersebut sistem kesehatan di setiap negara tampak kelabakan khususnya dalam pengendalian transmisi penyakit. Studi ini ingin mengidentifikasi kesiapan jejaring laboratorium kesehatan di Indonesia. Metode: Penilaian cepat dilakukan terhadap ketersediaan dan kesiapan laboratoriaum dalam pennanganan pandemi Covid-19. Pengumpulan data dilakukan melalui pengisian questioner yang dikirim secara elektronik. Waktu pelaksanaan adalah minggu ketiga dan keempat, Maret 2020. Terdapat 44 laboratorium jejaring laboratorium dibawah Kementerian Kesehatan yang menjadi subjek penelitian, dan sebanyak 33 yang merespon secara lengkap Variabel ketersediaan, kecukupan dan kebu...
Background Impaired growth in children can starts during pregnancy and continue to a few years af... more Background Impaired growth in children can starts during pregnancy and continue to a few years after birth. Age of 0-2 year is considered as the critical window of growth after birth. This study aimed to investigate the influence of early growth towards growth in the pre-pubertal period. Methods The study was utilizing the Indonesian Family Life Survey panel data of 1993, 1997, and 2000, covered 13 out of 27 provinces. The sample was children aged 0-2 years (year 1993), 4-6 years (1997) and 7-9 years old (2000).The data analysis was conducted using SPSS version 13.0. Results About 77% of children who were stunting at 0-2 years and continued at age 4-6 years, remained stunting at ages 7-9 years; 59.5% who were stunting at 4-6 years, remained stunting at age 7-9 years; 10% who were normal at ages 0-2 and 4-6 years become stunting at age 7-9 years, and 16% among those who were stunting at age 0-2 year become normal at age 4-6 years. Multivariate analysis showed that children who were s...
Buletin penelitian sistem kesehatan, Nov 30, 2014
Pusat Penelitian dan Pengembangan Sistem dan Kebijakan Kesehatan, 2006
Buletin penelitian sistem kesehatan, 2008
Decentralization in health sector has enable to identify many health problems, population charact... more Decentralization in health sector has enable to identify many health problems, population characteristics, and locally and more specific incidences. Health problems can be categorized based on geographic areas (national. regional,and local). The Geographic Information System (GIS) is one of tools for depicting the seventy of health problems and identifying health determinants specifically, as inputs for decision making process, also for epidemiological analysis and public health management. The basic framework of GIS is identification of Input, storage, data processing and output. The GIS main application consist of 1) the spatial description of a health event, 2) risk factors, high risk groups, and high risk areas identification, 3) health situation analysis, diseases pattern analysis, 4) surveillance and monitoring of public health, 5) the planning and programming of health activities; and (5) evaluation on health intervention. In Indonesia, the GIS hasbeen used in many work divis...
Buletin Penelitian Sistem Kesehatan, 2010
Background: This study analyzes influences of working culture on health center staffs in achievin... more Background: This study analyzes influences of working culture on health center staffs in achieving the performances based on tasks and functions. These can be achieved by six minimum or essential standard services as: curative care, maternal and child and also family planning cares, nutrition program, health promotion, environmental health, and communicable disease control. They were added by a developmental program specific in the study areas, such as dentalcare. Methods: The study method was observational with a retrospective design. The health centers were randomly clustered, and 15 health workers selected based on the availability of Islamic dorms. From the criteria, it was selected 8 health centers with the Islamic dorms under their working areas, and the rest 7 health centers having no Islamic dorm. Samples are the health staffs under the programs being studied as well as the one on development program as the dental care. In this study, respondents were taken 10 staffs in each...
Buletin penelitian sistem kesehatan, May 13, 2013
Buletin Penelitian Sistem Kesehatan, 2010
Buletin Penelitian Sistem Kesehatan, 2010
A diagnostic study on Quick salt test and titration methods toward Urine Intake Excretion (U/E) l... more A diagnostic study on Quick salt test and titration methods toward Urine Intake Excretion (U/E) level in Indonesia was conducted after the baseline data of Iodine salt available (Riskesdas 2007). For the baseline, samples were selected purposively covering households of 30 districts/municipalities based on the previous Iodine Salt SuNey (SGY 2993). The dependent variable was the Iodine level of UIE, and the independent variables were quick salt test and titration Analysis were by- 1) tinier regression to determine the correlation between the salt titration and UIE; 2) Analysis of variance was to compare the mean difference between UIE and quick salt test as well as titration, and 3) Chi-square test was to determine risk factors of two examined variables. Results showed that there was a correlation between titration and UtE level by the power of 7.3% which can be explained by 0. 5%. Significance Chi-Square test showed. There was a significant difference in UIE level according to the quick salt test (p=O.OOO; OR 1. 762). Similarly to titration, there was a significant difference in UtE level according to titrat1on p=0.001; OR=1. 740). ANOVA test showed that there was a significant difference in UIE according to titration (p=0.019), although the means difference was not so wide (means of enough iodine was 274.73 mcg and less of iodine was 248.38 mcg) respectively. In conclusion, the implementation of both the salt quick test and titration result was Significance toward the UIE level. The quick salt test was more sensitive compared to titration, but, the later was more specific. Nevertheless, the salt quick test is more beneficial as it is cheaper. handy, and simple to conduct. It was recommended that a salt quick test be used to determine the iodine level for massive screening to predict the UIE level because it has correlation, and sensitivity, is simple, easy to be implemented, and applicable in the future.
Buletin Penelitian Sistem Kesehatan, 2008
Since 2001, Indonesia has entered a new era of democratization called decentralization in all sec... more Since 2001, Indonesia has entered a new era of democratization called decentralization in all sectors. including health. From now and then, the District Health Office has been forced to be able to implement its health policy and functions such
as 1) stewardship, 2) health resources management. 3) health financing and 4) health services provision. The basic function of the health system is needed to achieve the health purpose that shows the performance of the health offices and their structure. The performance is related to the quality of management. European Foundation for Quality Management (EFQM) is a tool to quantify and assess the quality of management in an institution so that it will be understood what is the weakness and the strength of the institution. EFQM was developed in Europe that has been proven that it can formulate excellent management and performance by then. This study implements the EFQM model towards performance improvement model development in district/municipality health offices. The objective of the study is to implement the EFQM model in improving health system performance in a district/municipality. The type of study is health system research with a cross-sectional design in three selected district health offices based on Human Development Index criteria, that is high, medium, and low. Analysis has been done by implementing the EFQM method called RADAR. The study location was Tabanan district (Bali), Bandar Lampung Municipality (Lampung), and Belu District (East Nusa Tenggara). The qualitative analysis was quantified using the RADAR for the nine pillars of the method. The nine criteria were grouped into enables and result in criteria, such as 1) enables criteria of leadership, policy, and strategy, employment, partnership and resources as well as a process; 2) results in criteria were: clients satisfaction, staff satisfaction, social results of the community as well as the main key. Each criterion has some sub-criteria. Each sub-criteria then be valued using the RADAR, and quantified ranged from 0-10 as no proof and anecdote only; 15-35 as there is some proof; 40-60 as proved; 65-85 as strongly proved, and 90-100 as completely proved. The final evaluation of each pillar is done by counting the average values of the sub-criteria multiplied by each weight of the pillars that are already formatted. The formatted weight was 1.0 for leadership; 0.8 for policy and strategy, 0. 9 for employment; 0. 9 for resources and partnership; 1.4 for the process; 2. 0 for clients satisfaction; 0. 9 for staffs satisfaction; 0.6 for community social satisfaction, and 1.5 for the key indicator, with a total weight of 10. Results showed that the final results of the health office performance were Tabanan has the highest of 250, Bandar Lampung Municipality 239, and Belu 217. This scoring seems directly reflects the management achievement level of the District Health Office that correlate to the HOI Index. The EFQM method can be used as a model to improve staff performance in the district health office by maintaining the weaknesses found in the field as constraints.
Research in Social and Administrative Pharmacy, 2012
The Lancet Global Health, Nov 1, 2022
Background Analysing trends and levels of the burden of disease at the national level can mask in... more Background Analysing trends and levels of the burden of disease at the national level can mask inequalities in healthrelated progress in lower administrative units such as provinces and districts. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to analyse health patterns in Indonesia at the provincial level between 1990 and 2019. Long-term analyses of disease burden provide insights on Indonesia's advance to universal health coverage and its ability to meet the United Nations Sustainable Development Goals by 2030. Methods We analysed GBD 2019 estimated cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 286 causes of death, 369 causes of non-fatal health loss, and 87 risk factors by year, age, and sex for Indonesia and its 34 provinces from 1990 to 2019. To generate estimates for Indonesia at the national level, we used 138 location-years of data to estimate Indonesia-specific demographic indicators, 317 location-years of data for Indonesia-specific causes of death, 689 location-years of data for Indonesia-specific non-fatal outcomes, 250 location-years of data for Indonesiaspecific risk factors, and 1641 location-years of data for Indonesia-specific covariates. For subnational estimates, we used the following source counts: 138 location-years of data to estimate Indonesia-specific demographic indicators; 5848 location-years of data for Indonesia-specific causes of death; 1534 location-years of data for Indonesia-specific non-fatal outcomes; 650 location-years of data for Indonesia-specific risk factors; and 16 016 location-years of data for Indonesia-specific covariates. We generated our GBD 2019 estimates for Indonesia by including 1 915 207 total source metadata rows, and we used 821 total citations. Findings Life expectancy for males across Indonesia increased from 62•5 years (95% uncertainty interval 61•3-63•7) to 69•4 years (67•2-71•6) between 1990 and 2019, a positive change of 6•9 years. For females during the same period, life expectancy increased from 65•7 years (64•5-66•8) to 73•5 years (71•6-75•6), an increase of 7•8 years. There were large disparities in health outcomes among provinces. In 2019, Bali had the highest life expectancy at birth for males (74•4 years, 70•90-77•9) and North Kalimantan had the highest life expectancy at birth for females (77•7 years, 74•7-81•2), whereas Papua had the lowest life expectancy at birth for males (64•5 years, 60•9-68•2) and North Maluku had the lowest life expectancy at birth for females (64•0 years, 60•7-67•3). The difference in life expectancy for males between the highest-ranked and lowest-ranked provinces was 9•9 years and the difference in life expectacy for females between the highest-ranked and lowest-ranked provinces was 13•7 years. Age-standardised death, YLL, and YLD rates also varied widely among the provinces in 2019. High systolic blood pressure, tobacco, dietary risks, high fasting plasma glucose, and high BMI were the five leading risks contributing to health loss measured as DALYs in 2019. Interpretation Our findings highlight that Indonesia faces a double burden of communicable and non-communicable diseases that varies across provinces. From 1990 to 2019, Indonesia witnessed a decline in the infectious disease burden, although communicable diseases such as tuberculosis, diarrhoeal diseases, and lower respiratory infections have remained a main source of DALYs in Indonesia. During that same period, however, all-ages death and disability rates from non-communicable diseases and exposure to their risk factors accounted for larger shares of health loss. The differences in health outcomes between the highest-performing and lowest-performing provinces have also widened since 1990. Our findings support a comprehensive process to revisit current health policies, examine the root causes of variation in the burden of disease among provinces, and strengthen programmes and policies aimed at reducing disparities across the country. Funding The Bill & Melinda Gates Foundation and the Government of Indonesia.
Buletin Penelitian Sistem Kesehatan, Jul 1, 2012
The Health Information System (HIS) in Ministry of Health Republic of Indonesia (MOH-RI) was deve... more The Health Information System (HIS) in Ministry of Health Republic of Indonesia (MOH-RI) was developed for supporting the policy and strategy in health program management. However, the decision making process has not been supported completely by the 'promising' HIS. Since mid 1998, the new approach of integrated information system was introduced. Meanwhile, work is under way in building a data
Media Penelitian dan Pengembangan Kesehatan, 2002
<p>So far, limited research has been done on inequity and inequality in health care utilisa... more <p>So far, limited research has been done on inequity and inequality in health care utilisation in Indonesia. As anywhere else in the world, wealth and education are unequally distributed over the population. Need of health care is a major determinant which should affect use to health services. Using data from the 1997</p> <p>Indonesia Demographic and Health Survey and the concentration index approach, models of access to preventive care in children age 12-23 months, pregnancy related care for mothers as well as curative care for children five years old or less is estimated. Asset scores are used to analyse whether health care utilisation of children and mothers is correlated to household wealth.</p> <p>Significant inequity has been found in the utilisation of health care by wealth. Access to preventive care for children immunisation and pregnancy related care (tetanus injection, first visit for antenatal care, place for antenatal care, place for delivery, professional assistance for delivery) as well as curative care (medical treatment for diarrhoea and ARJ) tend to be significantly different by household wealth. Wealthier mothers use more health services than poorer mothers do. An exception to this rule is treatment for diarrhoea and ARI. This may be explained by measurement error. Need (health care), urban-rural residence and education are confounding that are found to reduce the concentration indices for use. Horizontal equity principle is violated, in the sense that mothers in equal need are found to be treated unequally.</p>
Research Square (Research Square), Jan 13, 2020
Background Although infrequent, use of traditional birth attendants (TBA) for delivery still exis... more Background Although infrequent, use of traditional birth attendants (TBA) for delivery still exists in Indonesia. The maternal mortality ratio (MMR) at 305 deaths per 100,000 live births in Indonesia is higher than that of the Southeast Asian region (240), and continued use of TBA is suspected to be related to this high MMR. The objective of this analysis is to study the influence of traditional practices, family structure, and TBA density on the use of maternal health services in Indonesia. Methods Secondary data analysis involved data from two national surveys-Riset Kesehatan Dasar (Riskesdas)
BMJ Open
ObjectiveThis paper analyses the optimal utilization of maternal health services in Indonesia fro... more ObjectiveThis paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018.DesignNational cross-sectional study.SettingThis study takes place in 34 provinces in Indonesia.ParticipantsThe population in this study were mothers in all household members in Basic Health Research of Riskesdas 2018. The sample was all mothers who had a live birth within 5 years before data collection (1 January 2013 to July 2018) and had complete data. The number of samples analysed was 70 878.Primary outcomeWe developed a scoring for the optimal utilization of maternal health services as the outcome variable.ResultsThis analysis involved 70 787 mothers. The utilization of maternal care was not optimal. Mothers who delivered in health facilities achieved 83.3% of services. Better care is experienced more by mothers who live in urban areas. Mothers who delivered at health facilities significantly used threefold optimal care (ORa=3.15; 95% CI 3.00 to 3.30; p<0001). A s...
Pusat Humaniora, Kebijakan Kesehatan dan Pemberdayaan Masyarakat, 2013
BMC Nutrition, Feb 7, 2017
Background: Stunting among toddlers is highly prevalent in Indonesia. As a chronic malnutrition p... more Background: Stunting among toddlers is highly prevalent in Indonesia. As a chronic malnutrition problem, stunting is closely related to internal (maternal health) and external factors such as feeding practices, illness and socio-economics of the community. The purpose of this study was to analyze the relationship between low birth weight (LBW), child feeding practices and neonatal illness with stunting among Indonesian toddlers. Methods: For this study, we took data from the 2010 Indonesian National Basic Health Survey (RISKESDAS). Totally 3024 children aged of 12-23 months included in this analysis. Stunting was measured using standardized body length and was defined based on criteria from WHO AnthroII.PC2007. Data analysis was done through bivariate and multivariate logistic regressions. Results: The results showed that the prevalence of stunting among Indonesian toddlers (12 23 months) was 40.4%. Early initiation of breast-feeding and exclusive breast feeding was experienced by 42.7% and 19.7% of the babies. More than half of the babies were given pre-lacteal feeds, while early complementary feeding was given to 68.5% of the subjects. Multivariate analysis showed infants born with LBW were 1.74 times more likely to be stunted (95% CI 1.38-2.19) than those born with normal weight. Boys were 1.27 times (95% CI 1.10-1.48) more likely to be stunted than girls. Infants with a history of neonatal illness, they were 1.23 times (95% CI 0.99-1.50) more susceptible to stunting. Being poor was another indirect variable that significantly associated with stunting (OR = 1.3, 95% CI 1.12-1.51). Conclusion: LBW, gender (boys), history of neonatal illness and poverty are factors related to stunting among children aged 12-23 months in Indonesia, with LBW being the major determinant of stunting.
Health Science Journal of Indonesia, 2020
Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pa... more Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pandemic di akhir tahun 2019. Kota Wuhan (China) merupakan lokasi pertama terdeteksinya kasus COVID-19. Tanpa adanya kecurigaan apapun penyakit ini dengan cepatnya menyebar ke seluruh dunia mengikuti alur mobilitas manusia. Dalam kondisi tersebut sistem kesehatan di setiap negara tampak kelabakan khususnya dalam pengendalian transmisi penyakit. Studi ini ingin mengidentifikasi kesiapan jejaring laboratorium kesehatan di Indonesia. Metode: Penilaian cepat dilakukan terhadap ketersediaan dan kesiapan laboratoriaum dalam pennanganan pandemi Covid-19. Pengumpulan data dilakukan melalui pengisian questioner yang dikirim secara elektronik. Waktu pelaksanaan adalah minggu ketiga dan keempat, Maret 2020. Terdapat 44 laboratorium jejaring laboratorium dibawah Kementerian Kesehatan yang menjadi subjek penelitian, dan sebanyak 33 yang merespon secara lengkap Variabel ketersediaan, kecukupan dan kebu...
Health Science Journal of Indonesia, 2020
Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pa... more Latar belakang: Penyakit jenis baru COVID-19 yang disebabkan oleh virus corona menjadi sebuah pandemic di akhir tahun 2019. Kota Wuhan (China) merupakan lokasi pertama terdeteksinya kasus COVID-19. Tanpa adanya kecurigaan apapun penyakit ini dengan cepatnya menyebar ke seluruh dunia mengikuti alur mobilitas manusia. Dalam kondisi tersebut sistem kesehatan di setiap negara tampak kelabakan khususnya dalam pengendalian transmisi penyakit. Studi ini ingin mengidentifikasi kesiapan jejaring laboratorium kesehatan di Indonesia. Metode: Penilaian cepat dilakukan terhadap ketersediaan dan kesiapan laboratoriaum dalam pennanganan pandemi Covid-19. Pengumpulan data dilakukan melalui pengisian questioner yang dikirim secara elektronik. Waktu pelaksanaan adalah minggu ketiga dan keempat, Maret 2020. Terdapat 44 laboratorium jejaring laboratorium dibawah Kementerian Kesehatan yang menjadi subjek penelitian, dan sebanyak 33 yang merespon secara lengkap Variabel ketersediaan, kecukupan dan kebu...
Background Impaired growth in children can starts during pregnancy and continue to a few years af... more Background Impaired growth in children can starts during pregnancy and continue to a few years after birth. Age of 0-2 year is considered as the critical window of growth after birth. This study aimed to investigate the influence of early growth towards growth in the pre-pubertal period. Methods The study was utilizing the Indonesian Family Life Survey panel data of 1993, 1997, and 2000, covered 13 out of 27 provinces. The sample was children aged 0-2 years (year 1993), 4-6 years (1997) and 7-9 years old (2000).The data analysis was conducted using SPSS version 13.0. Results About 77% of children who were stunting at 0-2 years and continued at age 4-6 years, remained stunting at ages 7-9 years; 59.5% who were stunting at 4-6 years, remained stunting at age 7-9 years; 10% who were normal at ages 0-2 and 4-6 years become stunting at age 7-9 years, and 16% among those who were stunting at age 0-2 year become normal at age 4-6 years. Multivariate analysis showed that children who were s...
Buletin penelitian sistem kesehatan, Nov 30, 2014
Pusat Penelitian dan Pengembangan Sistem dan Kebijakan Kesehatan, 2006
Buletin penelitian sistem kesehatan, 2008
Decentralization in health sector has enable to identify many health problems, population charact... more Decentralization in health sector has enable to identify many health problems, population characteristics, and locally and more specific incidences. Health problems can be categorized based on geographic areas (national. regional,and local). The Geographic Information System (GIS) is one of tools for depicting the seventy of health problems and identifying health determinants specifically, as inputs for decision making process, also for epidemiological analysis and public health management. The basic framework of GIS is identification of Input, storage, data processing and output. The GIS main application consist of 1) the spatial description of a health event, 2) risk factors, high risk groups, and high risk areas identification, 3) health situation analysis, diseases pattern analysis, 4) surveillance and monitoring of public health, 5) the planning and programming of health activities; and (5) evaluation on health intervention. In Indonesia, the GIS hasbeen used in many work divis...
Buletin Penelitian Sistem Kesehatan, 2010
Background: This study analyzes influences of working culture on health center staffs in achievin... more Background: This study analyzes influences of working culture on health center staffs in achieving the performances based on tasks and functions. These can be achieved by six minimum or essential standard services as: curative care, maternal and child and also family planning cares, nutrition program, health promotion, environmental health, and communicable disease control. They were added by a developmental program specific in the study areas, such as dentalcare. Methods: The study method was observational with a retrospective design. The health centers were randomly clustered, and 15 health workers selected based on the availability of Islamic dorms. From the criteria, it was selected 8 health centers with the Islamic dorms under their working areas, and the rest 7 health centers having no Islamic dorm. Samples are the health staffs under the programs being studied as well as the one on development program as the dental care. In this study, respondents were taken 10 staffs in each...
Buletin penelitian sistem kesehatan, May 13, 2013
Buletin Penelitian Sistem Kesehatan, 2010
Buletin Penelitian Sistem Kesehatan, 2010
A diagnostic study on Quick salt test and titration methods toward Urine Intake Excretion (U/E) l... more A diagnostic study on Quick salt test and titration methods toward Urine Intake Excretion (U/E) level in Indonesia was conducted after the baseline data of Iodine salt available (Riskesdas 2007). For the baseline, samples were selected purposively covering households of 30 districts/municipalities based on the previous Iodine Salt SuNey (SGY 2993). The dependent variable was the Iodine level of UIE, and the independent variables were quick salt test and titration Analysis were by- 1) tinier regression to determine the correlation between the salt titration and UIE; 2) Analysis of variance was to compare the mean difference between UIE and quick salt test as well as titration, and 3) Chi-square test was to determine risk factors of two examined variables. Results showed that there was a correlation between titration and UtE level by the power of 7.3% which can be explained by 0. 5%. Significance Chi-Square test showed. There was a significant difference in UIE level according to the quick salt test (p=O.OOO; OR 1. 762). Similarly to titration, there was a significant difference in UtE level according to titrat1on p=0.001; OR=1. 740). ANOVA test showed that there was a significant difference in UIE according to titration (p=0.019), although the means difference was not so wide (means of enough iodine was 274.73 mcg and less of iodine was 248.38 mcg) respectively. In conclusion, the implementation of both the salt quick test and titration result was Significance toward the UIE level. The quick salt test was more sensitive compared to titration, but, the later was more specific. Nevertheless, the salt quick test is more beneficial as it is cheaper. handy, and simple to conduct. It was recommended that a salt quick test be used to determine the iodine level for massive screening to predict the UIE level because it has correlation, and sensitivity, is simple, easy to be implemented, and applicable in the future.
Buletin Penelitian Sistem Kesehatan, 2008
Since 2001, Indonesia has entered a new era of democratization called decentralization in all sec... more Since 2001, Indonesia has entered a new era of democratization called decentralization in all sectors. including health. From now and then, the District Health Office has been forced to be able to implement its health policy and functions such
as 1) stewardship, 2) health resources management. 3) health financing and 4) health services provision. The basic function of the health system is needed to achieve the health purpose that shows the performance of the health offices and their structure. The performance is related to the quality of management. European Foundation for Quality Management (EFQM) is a tool to quantify and assess the quality of management in an institution so that it will be understood what is the weakness and the strength of the institution. EFQM was developed in Europe that has been proven that it can formulate excellent management and performance by then. This study implements the EFQM model towards performance improvement model development in district/municipality health offices. The objective of the study is to implement the EFQM model in improving health system performance in a district/municipality. The type of study is health system research with a cross-sectional design in three selected district health offices based on Human Development Index criteria, that is high, medium, and low. Analysis has been done by implementing the EFQM method called RADAR. The study location was Tabanan district (Bali), Bandar Lampung Municipality (Lampung), and Belu District (East Nusa Tenggara). The qualitative analysis was quantified using the RADAR for the nine pillars of the method. The nine criteria were grouped into enables and result in criteria, such as 1) enables criteria of leadership, policy, and strategy, employment, partnership and resources as well as a process; 2) results in criteria were: clients satisfaction, staff satisfaction, social results of the community as well as the main key. Each criterion has some sub-criteria. Each sub-criteria then be valued using the RADAR, and quantified ranged from 0-10 as no proof and anecdote only; 15-35 as there is some proof; 40-60 as proved; 65-85 as strongly proved, and 90-100 as completely proved. The final evaluation of each pillar is done by counting the average values of the sub-criteria multiplied by each weight of the pillars that are already formatted. The formatted weight was 1.0 for leadership; 0.8 for policy and strategy, 0. 9 for employment; 0. 9 for resources and partnership; 1.4 for the process; 2. 0 for clients satisfaction; 0. 9 for staffs satisfaction; 0.6 for community social satisfaction, and 1.5 for the key indicator, with a total weight of 10. Results showed that the final results of the health office performance were Tabanan has the highest of 250, Bandar Lampung Municipality 239, and Belu 217. This scoring seems directly reflects the management achievement level of the District Health Office that correlate to the HOI Index. The EFQM method can be used as a model to improve staff performance in the district health office by maintaining the weaknesses found in the field as constraints.
Research in Social and Administrative Pharmacy, 2012
The Lancet Global Health, Nov 1, 2022
Background Analysing trends and levels of the burden of disease at the national level can mask in... more Background Analysing trends and levels of the burden of disease at the national level can mask inequalities in healthrelated progress in lower administrative units such as provinces and districts. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to analyse health patterns in Indonesia at the provincial level between 1990 and 2019. Long-term analyses of disease burden provide insights on Indonesia's advance to universal health coverage and its ability to meet the United Nations Sustainable Development Goals by 2030. Methods We analysed GBD 2019 estimated cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 286 causes of death, 369 causes of non-fatal health loss, and 87 risk factors by year, age, and sex for Indonesia and its 34 provinces from 1990 to 2019. To generate estimates for Indonesia at the national level, we used 138 location-years of data to estimate Indonesia-specific demographic indicators, 317 location-years of data for Indonesia-specific causes of death, 689 location-years of data for Indonesia-specific non-fatal outcomes, 250 location-years of data for Indonesiaspecific risk factors, and 1641 location-years of data for Indonesia-specific covariates. For subnational estimates, we used the following source counts: 138 location-years of data to estimate Indonesia-specific demographic indicators; 5848 location-years of data for Indonesia-specific causes of death; 1534 location-years of data for Indonesia-specific non-fatal outcomes; 650 location-years of data for Indonesia-specific risk factors; and 16 016 location-years of data for Indonesia-specific covariates. We generated our GBD 2019 estimates for Indonesia by including 1 915 207 total source metadata rows, and we used 821 total citations. Findings Life expectancy for males across Indonesia increased from 62•5 years (95% uncertainty interval 61•3-63•7) to 69•4 years (67•2-71•6) between 1990 and 2019, a positive change of 6•9 years. For females during the same period, life expectancy increased from 65•7 years (64•5-66•8) to 73•5 years (71•6-75•6), an increase of 7•8 years. There were large disparities in health outcomes among provinces. In 2019, Bali had the highest life expectancy at birth for males (74•4 years, 70•90-77•9) and North Kalimantan had the highest life expectancy at birth for females (77•7 years, 74•7-81•2), whereas Papua had the lowest life expectancy at birth for males (64•5 years, 60•9-68•2) and North Maluku had the lowest life expectancy at birth for females (64•0 years, 60•7-67•3). The difference in life expectancy for males between the highest-ranked and lowest-ranked provinces was 9•9 years and the difference in life expectacy for females between the highest-ranked and lowest-ranked provinces was 13•7 years. Age-standardised death, YLL, and YLD rates also varied widely among the provinces in 2019. High systolic blood pressure, tobacco, dietary risks, high fasting plasma glucose, and high BMI were the five leading risks contributing to health loss measured as DALYs in 2019. Interpretation Our findings highlight that Indonesia faces a double burden of communicable and non-communicable diseases that varies across provinces. From 1990 to 2019, Indonesia witnessed a decline in the infectious disease burden, although communicable diseases such as tuberculosis, diarrhoeal diseases, and lower respiratory infections have remained a main source of DALYs in Indonesia. During that same period, however, all-ages death and disability rates from non-communicable diseases and exposure to their risk factors accounted for larger shares of health loss. The differences in health outcomes between the highest-performing and lowest-performing provinces have also widened since 1990. Our findings support a comprehensive process to revisit current health policies, examine the root causes of variation in the burden of disease among provinces, and strengthen programmes and policies aimed at reducing disparities across the country. Funding The Bill & Melinda Gates Foundation and the Government of Indonesia.
Buletin Penelitian Sistem Kesehatan, Jul 1, 2012