The impact of international health worker migration and recruitment on health systems in source countries: Stakeholder perspectives from Colombia, Indonesia, and Jordan.

INTRODUCTION: To address domestic shortages, high-income countries are increasingly recruiting health workers from low- and middle-income countries. This practice is much debated. Proponents underline benefits of return migration and remittances. Critics point in particular to the risk of brain drain. Empirical evidence supporting either position is yet rare. This study contributes to filling this gap in knowledge by reporting high-level stakeholders' perspectives on health system impacts of international migration in general, and active recruitment of health workers in specific, in Colombia, Indonesia, and Jordan. METHOD: We used a multiple case study methodology, based on qualitative methods integrated with information available in the published literature. RESULTS: All respondents decried a lack of robust and detailed data as a serious challenge in ascertaining their perspectives on impacts of health worker migration. Stakeholders described current emigration levels as not substantially aggravating existing health workforce availability challenges. This is due to the fact that all three countries are faced with health worker unemployment grounded in unwillingness to work in rural areas and/or overproduction of certain cadres. Respondents, however, pleaded against targeting very experienced and specialised individuals. While observing little harm of health worker migration at present, stakeholders also noted few benefits such as brain gain, describing how various barriers to skill enhancement, return, and reintegration into the health system hamper in practice what may be possible in theory. CONCLUSION: Improved availability of data on health worker migration, including their potential return and reintegration into their country of origin's health system, is urgently necessary to understand and continuously monitor costs and benefits in dynamic national and international health labour markets. Our results imply that potential benefits of migration do not come into being automatically, but need in-country supportive policy and programming, such as favourable reintegration policies or programs targeting engagement of the diaspora.

Predictors of national health insurance membership among the poor with different education levels in Indonesia.

BACKGROUND: Indonesia has made significant progress in expanding universal health coverage (UHC) through its National Health Insurance (NHI) mechanism. However, in the context of NHI implementation in Indonesia, socioeconomic disparities caused its subpopulations to have different literacy of NHI concepts and procedures, increasing the risk of healthcare access inequities. Hence, the study aimed to analyse the predictors of NHI membership among the poor with different education levels in Indonesia. METHODS: This study used the secondary dataset of the nationwide survey "Abilities and Willingness to Pay, Fee, and Participant Satisfaction in implementing National Health Insurance in Indonesia in 2019" by The Ministry of Health of the Republic of Indonesia. The study population was the poor population in Indonesia and included a weighted sample of 18,514 poor people. The study used NHI membership as a dependent variable. Meanwhile, the study analysed seven independent variables: wealth, residence, age, gender, education, employment, and marital status. In the final step of the analysis, the study used binary logistic regression. RESULTS: The results show that the NHI membership among the poor population tends to be higher among those who have higher education, live in urban areas, are older than 17 years old, are married and are wealthier. The poor population with higher education levels is more likely to become NHI members than those with lower education. Their residence, age, gender, employment, marital status, and wealth also predicted their NHI membership. Poor people with primary education are 1.454 times more likely to be NHI members than those without education (AOR 1.454; 95% CI 1.331-1.588). Meanwhile, those with secondary education are 1.478 times more likely to be NHI members than those with no education (AOR 1.478; 95% CI 1.309-1.668). Moreover, higher education is 1.724 times more likely to result in being an NHI member than no education (AOR 1.724; 95% CI 1.356-2.192). CONCLUSION: Education level, residence, age, gender, employment, marital status, and wealth predict NHI membership among the poor population. Since significant differences exist in all of those predictors among the poor population with different education levels, our findings highlighted the importance of government investment in NHI, which must be supported with investment in the poor population's education.

How does the work-life balance impact stress on primary healthcare workers during the COVID-19 pandemic?

BACKGROUND: Most studies in advanced care settings reported that the increasing workload increases the work-life imbalance and harms the mental health of health workers. The COVID-19 Pandemic's tracing, testing, treatment, and mass vaccination also have multiplied the primary healthcare workers' workload. Nevertheless, studies on primary care workers are scarce. This study aimed to investigate how the COVID-19-related work-life balance impact stress on primary healthcare workers in the third years of the pandemic. METHODS: The study was a cross-sectional, web-based survey conducted on primary healthcare workers in Kediri Regency, Indonesia, with the highest Omicron case surge worldwide. It was conducted right after the surge between July and August 2022, the third year of the COVID-19 pandemic hit Indonesia. Under coordination with the local government health officials, primary healthcare workers were invited to participate in an online survey. The respondents were asked to evaluate their sociodemography, work conditions, personal life, and perceived stress (using the Perceived Stress Scale) during the pandemic. Their work-life balance was evaluated using the Work/Non-work Interference and Enhancement Scale. We used several hierarchical linear regression models to determine which variables contribute to work stress among primary healthcare workers. RESULTS: Sociodemographic characteristics, including gender, age, marital status, years of professional experience, and educational level, were not significantly associated with stress levels among our respondents. Separately, work conditions and personal life variables did not associate with stress levels. However, primary healthcare workers' work and personal lives interfere with each other during the pandemic and are associated with their higher stress. CONCLUSION: During the pandemic, the work life of primary health workers interferes with their personal life more than the interference of personal life on their work life. At the same time, the work life's enhancement on the personal life and vice versa were lower than its interference. Those conditions are associated with higher perceived stress of primary health workers.

Determinants of out-of-district health facility bypassing in East Java, Indonesia.

BACKGROUND: Several large-scale reforms, including policies aimed at achieving universal health coverage, have been implemented to overcome health disparities in Indonesia. However, access to health services remains unequal. Many people 'bypass' health services in their home district to access health services in neighbouring districts, even though their health insurance does not cover such services. This study aims to identify the factors that are associated with this out-of-district bypassing behaviour. METHODS: We surveyed 500 respondents living in the outermost districts of East Java province. We used data on education, income, district, age, gender, household size, district accessibility, insurance coverage status and satisfaction with health facilities in the home district and logistic regression analysis to model the predictors of out-of-district health facility bypassing. RESULTS: The most important predictors of the bypassing behaviour were education and poor access to health facilities in the home district. Open-ended data also found that the most important reason for seeking care in another district was mostly geographic. In contrast, health insurance coverage does not appear to be a significant predictor. CONCLUSIONS: Education and geographic factors are the main predictors of out-of-district bypassing behaviour, which appears to be how border communities express their health facility preferences. Local and central governments should continue their work to reduce inequality in access to health facilities in Indonesia's geographically challenged districts.

Health insurance literacy: discussion and reaction of Facebook users' towards the National Health Insurance in Indonesia.

Universal Health Coverage always persevered as a pro poor policy in many countries, characterized by a major impact on higher out-of-pocket healthcare costs, with low-cost alternative prescription drugs and capitation payments made to physicians, in order to reduce inequity. These concerns have been discussed widely on social media, including Facebook, but social media are consistently neglected as a source of scientific information. The purpose of this study, therefore, is to analyze the thought process or feelings of individuals about the policies, also focusing on the possible reactions. Hence, a systematic review in the form of discussion forums on the Facebook page of the National Health Insurance Agency, Indonesia was conducted from 2015 to 2016, with regards to the implementation of National Health Insurance, within a year and half after the policy was launched. In addition, the contents of 148 discussions were deductively analyzed, and the findings showed the pragmatic disposition of most Facebook users towards health care utilization, the costs of Insurance, and the possible benefits of payment. Furthermore, the debate conducted in social media related with the policy and its practice issues ought to be countered through appropriate modification.

Brand equity analysis to increase health care utilization.

Background: Health care utilization is one of the key indicators in measuring performance of health care services. Strong brand equity suggests positive correlation with great attraction for consumers to use a product. Design and Methods: A cross-sectional study was conducted to identify the effects of brand equity to health care utilization. 381 students were selected by simple random sampling. Multiple logistic regression tests were used to analyze the influence between variables. Results: Findings showed that there was an influence between brand equity and health care utilization (P=0.001). In the three attributes, brand equity was known to have an influence to the utilization of health care. The highest influence of the three attributes was brand association (Exp (B) = 2.501). Conclusions: It can be concluded that brand equity affects patient visits to AHCC showing that the brand equity significantly influence patient visits. Promotion to create familiarity and good impression was required to enhance brand equity and increase health care utilization.

The maternal referral mobile application system for minimizing the risk of childbirth.

Background: The maternal mortality rate in Surabaya is still quite high due to ineffectice referral health systems. Primary Health Care (PHC) has difficulty referring patients to hospitals which have available resources. The purpose of this study is to develop a mobile app system framework for the maternal referral system. Design and Methods: This study was developed based on the results of the Focus Group Discussion (FGD) with midwives, doctors and primary health care heads about the referral system regulation in Surabaya City. Results: A mobile app system can be used to communicate patients' conditions to the hospital. The hospital then will refer back to the PHC as a home care service after the birth. This mobile app has gone through a trial and a development process; it is currently in the process of structuring the mobile app based on the bugs that occur in the system. Conclusions: This mobile app still needs development, especially in minimizing system bugs, and providing faster, more accurate communication.