ObjectivePrivate practitioner’s (PPs) collaboration for detection, diagnosis and treatment of tuberculosis (TB) is recommended by the World Health Organization and encouraged by the Indonesian National TB control programme. TB case management by PPs, however, are mostly not in line with current guidelines. Therefore, we developed an intervention package for PPs comprising of TB training, implementation of a mobile phone application for notification of TB cases and a 6-month regular follow-up with PPs. This study aimed to evaluate the feasibility of the intervention package to increase TB case detection and notification rates among PPs in five community health centre areas in Bandung City, Indonesia.ResultsA total of 87 PPs were registered within the study area of whom 17 attended the training and 12 had the mobile phone application successfully installed. The remaining five PPs had phones that did not support the application. During the follow-up period, five PPs registered patients with TB symptoms and cases into the application. A total of 36 patients with TB symptoms were identified and 17 were confirmed TB positive.
Pengingkatan kasus positif yang terjadi dari hari ke hari menyebabkan banyak kerugian terhadap berbagai sektor di Indonesia. Salah satu nya adalah sektor ekonomi Indonesia. Pandemi Covid-19 sudah sangat menghancurkan ekonomi Indonesia. Kasus pertama diumukan oleh Presiden Jokowi pada tanggal 2 Maret 20203, Presiden Jokowi mengumumkan terdapat 2 orang yang positif terkena Covid-19. Pada tanggal 2 Maret 2020, nilai tukar rupiah masih tidak selemah sekarang. Pada tanggal 2 Maret 2020, nilai tukar 1 USD terhadap rupiah adalah sebesar Rp. 14,265.00, per hari ini tanggal 9 April 2020 nilai tukar 1 USD terhadap rupiah adalah sebesar Rp. 15,880.004. Jadi rupiah melemah sebesar 1,615 poin atau melemah sebesar 11.32% dalam 39 hari. Pelemahan terburuk rupiah hingga 10 April 2020, terjadi pada tanggal 23 Maret 2020, dengan nilai tukar 1 USD terhadap rupiah sebesar Rp. 16,575.00 atau melemah sebesar 16.19%.
A community health clinic catchment area in the eastern part of Bandung City, Indonesia. To evaluate the feasibility of two different screening interventions using community health workers (CHWs) in detecting tuberculosis (TB) cases. This was a feasibility study of 1) house-to-house TB symptom screening of five randomly selected 'neighbourhoods' in the catchment area, and 2) selected screening of household contacts of TB index patients and their neighbouring households. Acceptability was assessed through focus group discussions with key stakeholders. Of 5100 individuals screened in randomly selected neighbourhoods, 48 (0.9%) reported symptoms, of whom 38 provided sputum samples; no positive TB was found. No TB cases were found among the 88 household contacts or the 423 neighbourhood contacts. With training, regular support and supervision from research staff and local community health centre staff, CHWs were able to undertake screening effectively, and almost all householders were willing to participate. The use of CHWs for TB screening could be integrated into routine practice relatively easily in Indonesia. The effectiveness of this would need further exploration, particularly with the use of improved diagnostics such as chest X-ray and sputum culture.
This paper has two objectives. The first is to estimate technical efficiency scores for local government expenditurein regencies and cities in West Java. The second is to analyze the other environmental factors that play animportant role in the technical efficiency scores of local government expenditure in the same regencies and cities.This research uses a Data Envelopment Analysis (DEA) method to estimate technical efficiency scores and usesa Tobit method for analyzing environmental factors. The DEA method uses capital expenditure per capita,employment of government expenditure per capita, and goods and services expenditure per capita as input anduses Gross Regional Product (GRP) per capita, human capital index (HDI) and road infrastructure length perwide area as output. The Tobit method uses the total of investment credit funds, total labor and total governmentemployment per 1000 civil servants. The results showed that there are many region that have high spendingbut can not achieved the maximum score of efficiency. The Tobit estimation shows that the total of investmentcredit funding and total labor have positive and significant marginal effects in creating optimal technical efficiencyscores. Total government employment per 1000 civil servants has a negative and insignificant marginal effect onoptimal technical efficiency scores.
Indonesia is the largest archipelago country with over than 260 million population. Yet, its archipelagic state makes it hard for the Indonesian government to distribute its income equally, causing severe poverty in certain regions. To overcome this problem, the role of construction industry is very crucial. Many papers say construction industry plays an important role to achieve socio-economic development goals in providing shelter, physical infrastructure, employment, and higher economic growth. Knowing the importance of construction sector, especially in physical infrastructure, President of Indonesia, Joko Widodo, focuses on accelerating infrastructure development. To equally distribute the development between rural and urban areas and shorten the level of inequality, in 2015 Indonesian government made a program in a form of fiscal transfers called Village Fund program. The objective of this paper is to measure the impact of Village Fund program in developing physical infrastructure across provinces in Indonesia. This paper used panel data with Random Effect Model to analyze the marginal effect of Village Fund in construction sector. The finished construction value is used as the dependent variable. As the independent variable, this paper uses the amount of Village Fund given and Gross Domestic Regional Product (GRDP) as the control variable in 33 provinces that participated in Village Fund program during 2015 and 2016. Setting with α = 0.01, the result shows that Village Fund program has a marginal positive effect to finished construction value. Every one percentage point change in Village Fund increases the amount of construction value finished by 0.033%. For the other variable, every 1% increase in GRDP also increase the construction value by 0.41%. We hope this paper could be useful to evaluate the implementation of Village Fund and as a base for making similar policies in the future. Keywords: Village Fund, Construction Value, Infrastructure, GRDP, Random Effect Model
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