Factors Influencing Willingness to Adopt Recommended Bambara groundnut (Vigna subterranea L. Verdc) Agronomic Practices Among Smallholder Farmers in Semi-Arid Lands of Embu County, Kenya

The study assessed the willingness of smallholder farmers to adopt the recommended agronomic practices of Bambara groundnut in semi-arid lands of Embu County. The study was carried out in three sub-counties i.e. Mbeere North, Mbeere South, and Embu West, of Embu County. Data were extracted with the help of a well-structured questionnaire which was distributed to 384 smallholder farmers who were participants at the farmers’ field schools at the three sites. The data were analyzed using means, percentages, and logistic regression. Results of the study revealed that 60.94% of the farmers were willing to adopt the recommended agronomic practices. The willingness of the farmers to adopt the recommended agronomic practices was influenced by farming experience, farm size, extension contact, participation in farmers’ groups, cropping technologies adoption, and intercropping system used by the farmers. The application of the farmer participatory approach is an innovative way of introducing and promoting less popular but sustainably proven agricultural technologies among smallholder farmers. This is a climate-smart strategy to address the challenges of food in the area. Awareness creation among the farmers using the right extension channels can increase farmers’ willingness to adopt climate-smart technologies such as the production of the highly nutritive and drought tolerant Bambara groundnut in dry areas

International Alliance Strategies: A Case Study of the Indonesian Medical Device Industry

This study aims to investigate how the multinational corporations form alliance strategies with local businesses under the dynamic institutional environment in the Indonesian context. We used a qualitative approach with a case study of the medical device industry to examine how the institutional environment affects the choice of the strategic alliance. By collecting the qualitative data, including interviews, observations and archival data, the interpretive approach was adopted to understand social worlds from the point of view of participants. We identified five types of alliance strategies: the wholly owned subsidiary with contractual collaboration, the wholly owned subsidiary with the licence agreement, the international trade with the licence agreement, joint venture and outsourcing. There are also two main issues of the institutional environments that determine the choice of alliance strategic: the restriction for foreign companies to carry out direct selling and the new policy that introduces the electronic procurement system. This study provides evidence of the role of the institutional environment on collaboration strategies between the multinational enterprises from the developed countries and the local distributors from Indonesia. The results extend the concept of international business in the Asian context

The state of health in Indonesia's provinces, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Analysing trends and levels of the burden of disease at the national level can mask inequalities in health-related 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 Indonesia-specific 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. Translation For the Bahasa Indonesia translation of the abstract see Supplementary Materials section

On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Background As Indonesia moves to provide health coverage for all citizens, understanding patterns of morbidity and mortality is important to allocate resources and address inequality. The Global Burden of Disease 2016 study (GBD 2016) estimates sources of early death and disability, which can inform policies to improve health care. Methods We used GBD 2016 results for cause-specific deaths, years of life lost, years lived with disability, disabilit-yadjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 333 causes in Indonesia and in seven comparator countries. Estimates were produced by location, year, age, and sex using methods outlined in GBD 2016. Using the Socio-demographic Index, we generated expected values for each metric and compared these against observed results. Findings In Indonesia between 1990 and 2016, life expectancy increased by 8·0 years (95% uncertainty interval [UI] 7·3–8·8) to 71·7 years (71·0–72·3): the increase was 7·4 years (6·4–8·6) for males and 8·7 years (7·8–9·5) for females. Total DALYs due to communicable, maternal, neonatal, and nutritional causes decreased by 58·6% (95% UI 55·6–61·6), from 43·8 million (95% UI 41·4–46·5) to 18·1 million (16·8–19·6), whereas total DALYs from non-communicable diseases rose. DALYs due to injuries decreased, both in crude rates and in age-standardised rates. The three leading causes of DALYs in 2016 were ischaemic heart disease, cerebrovascular disease, and diabetes. Dietary risks were a leading contributor to the DALY burden, accounting for 13·6% (11·8–15·4) of DALYs in 2016. Interpretation Over the past 27 years, health across many indicators has improved in Indonesia. Improvements are partly offset by rising deaths and a growing burden of non-communicable diseases. To maintain and increase health gains, further work is needed to identify successful interventions and improve health equity.</p

On the road to universal health care in Indonesia, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Background As Indonesia moves to provide health coverage for all citizens, understanding patterns of morbidity and mortality is important to allocate resources and address inequality. The Global Burden of Disease 2016 study (GBD 2016) estimates sources of early death and disability, which can inform policies to improve health care. Methods We used GBD 2016 results for cause-specific deaths, years of life lost, years lived with disability, disabilit-yadjusted life-years (DALYs), life expectancy at birth, healthy life expectancy, and risk factors for 333 causes in Indonesia and in seven comparator countries. Estimates were produced by location, year, age, and sex using methods outlined in GBD 2016. Using the Socio-demographic Index, we generated expected values for each metric and compared these against observed results. Findings In Indonesia between 1990 and 2016, life expectancy increased by 8·0 years (95% uncertainty interval [UI] 7·3–8·8) to 71·7 years (71·0–72·3): the increase was 7·4 years (6·4–8·6) for males and 8·7 years (7·8–9·5) for females. Total DALYs due to communicable, maternal, neonatal, and nutritional causes decreased by 58·6% (95% UI 55·6–61·6), from 43·8 million (95% UI 41·4–46·5) to 18·1 million (16·8–19·6), whereas total DALYs from non-communicable diseases rose. DALYs due to injuries decreased, both in crude rates and in age-standardised rates. The three leading causes of DALYs in 2016 were ischaemic heart disease, cerebrovascular disease, and diabetes. Dietary risks were a leading contributor to the DALY burden, accounting for 13·6% (11·8–15·4) of DALYs in 2016. Interpretation Over the past 27 years, health across many indicators has improved in Indonesia. Improvements are partly offset by rising deaths and a growing burden of non-communicable diseases. To maintain and increase health gains, further work is needed to identify successful interventions and improve health equity.</p

AIDS e pauperização: principais conceitos e evidências empíricas AIDS and pauperization: principal concepts and empirical evidence

O artigo discute as estratégias metodológicas que vêm sendo usadas na análise das inter-relações entre a vulnerabilidade ao HIV/AIDS e as desigualdades sociais, o preconceito e a marginalização, ressaltando-se as dificuldades metodológicas e as estratégias alternativas de investigação encontradas. Os principais achados da literatura internacional e brasileira foram revistos, enfatizando-se os temas: dimensões econômicas e macropolíticas da difusão do HIV/ AIDS; papel do consumo e da política de drogas; desigualdade e preconceito de gênero; desigualdade e preconceito racial/origem étnica; interação com as demais infecções sexualmente transmissíveis e sua relação com a pobreza; padrões de assistência à saúde e HIV/AIDS, em especial, acesso a anti-retrovirais; e violação dos direitos humanos. Apesar da restrita produção acadêmica brasileira e dos dilemas metodológicos envolvidos no exame das inter-relações entre variáveis psicossociais, culturais, sócio-políticas e vulnerabilidade ao HIV/AIDS, tais temas devem ser investigados em detalhe - considerando especificidades sociais e culturais do Brasil - e beneficiados pelas novas estratégias de pesquisa.<br>This paper discusses methodologies for analyzing relations between social inequalities, marginalization, prejudice, and vulnerability to HIV/AIDS, highlighting current difficulties and alternative research strategies. It also reviews the international and Brazilian literature, emphasizing: economic and macropolitical dimensions in the spread of HIV/AIDS; the role of drug policies and consumption; gender inequalities and prejudice; racial/ethnic inequalities and prejudice; and interaction with other STIs and their relationship to poverty; HIV/AIDS and health care standards, especially access to antiretroviral therapy; and human rights violations. Despite current methodological dilemmas in analyzing relations between psychosocial, cultural, and sociopolitical variables and vulnerability to HIV/AIDS and the limited Brazil literature, such themes merit further investigation, addressing Brazilian social and cultural specificities and profiting from recently developed research strategies