Strengthening Indonesia's health workforce through partnerships

Kurniati, Anna; Rosskam, Ellen; Afzal, Muhammad Mahmood; Suryowinoto, T.B.; Mukti, Ali Ghufron

doi:10.1016/j.puhe.2015.04.012

Cited by 26 publications

(32 citation statements)

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“…However, different provinces had quite different quantities and quality (See Additional le 1: Growth of the number of health workforce per 1000 population in China). Same results have also been found in other counties, namely the United Kingdom [8], Australia [9], Spain [10], Thailand [11], South African [12], Brazil [13], India [14], Indonesia [15], Cameroon [16]. Chen found that the highest growth rate of urban community health service was in Beijing, Shandong, and Zhejiang [17].…”

Section: Introductionsupporting

confidence: 62%

Spatio-temporal Clusters of Health Workforce Distribution in Sichuan Province, China: a county-level analysis

Zhang¹,

Ning²,

Xie³

et al. 2020

Preprint

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Background The health workforce is a key determinant in achieving health equity. As a southwestern province of China, Sichuan confronted with the geographical variation of health workforce in recent years. The misdistribution of health workforce in Sichuan is severe for its complex terrain, uneven population distribution and huge economic differences. The study of Sichuan province is of great significance to other regions of China. Methods This study applied time-series analysis, spatial autocorrelation and space-time scan analysis to explore and visualize the spatial changing patterns of different types of health workforce (health technicians, licensed doctors, registered nurses, pharmacists, technologists, and intern) at the municipal and county level in Sichuan. Results The box plots displayed the temporal trend of health workforce from 2009 to 2018 via the county-level data. All types of health workforce were in rising generally especially the registered nurses. The space-time analysis and Global Moran' I revealed the distinctive geographical clusters among all the counties. The local Moran' I detected that HH clusters mainly in the capital and some rich places of Sichuan, while some mountain areas in eastern Sichuan displayed LL clusters. Four main findings should be paid attention to the whole health workforce of Sichuan province had an upward trend. Comparing with other provinces, the growth rate also was in a high rank; the areas with the scarcest resources were eastern place, including areas of Tsinling Mountains, Yunnan-Guizhou Plateau, Hengduan Mountains and the transition zone of mountains and basins; misdistribution of health workforce had two levels, among the province and cities; the Qinghai Tibet Plateau has enough intern while being short of other health technicians. Conclusions The policies makers should pay more attention to the eastern Sichuan. As to the intern-related policies, the primary health tasks did not achieve, Qinghai Tibet Plateau areas needed to find practical ways to attract the interns

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Section: Introductionsupporting

confidence: 62%

Spatio-temporal Clusters of Health Workforce Distribution in Sichuan Province, China: a county-level analysis

Zhang¹,

Ning²,

Xie³

et al. 2020

Preprint

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“…According to Anna Kurniati, et al (2015), multisectoral coordination would bring positive effects to the development of HRH in Indonesia. 5 This approach can also increase technical support and funding from the country and other countries to develop HRH. Riley, et al (2012) found that information system is important for the HRH, however many countries still have inadequate information systems in the health field.…”

Section: Communicationmentioning

confidence: 99%

An Analysis on the Implementation of the Human Resouces in the Health Field Planning Policy in Depok, 2017

Annadoroh

Ilyas

2019

J INDO HEALTH POLICY ADM

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Abstract. According to the Minister of Health Regulation no. 33/2015 (Permenkes 33) on Guidelines for Composing the Human Resources in the Health Field (HRH) Planning, planning for HRH must be done from the bottom up. In 2016, Depok City has implemented the regulation, but the results were not applicable. This qualitative study analyzes the process of creating the planning document at Depok City in 2017 through in-depth interviews and documentary research. We discovered that the 2017 HRH planning document in Depok City did not completely follow all the steps stated in Permenkes 33. Ineffective communication caused lack of commitment and support from the stakeholders, which in turn, caused the lack of support from the bureaucratic structure, such as standard operational procedures, regulation, and allocation of resources, whether it was manpower, funding, or facilities. Therefore, we recommend that the socialization or advocation process to the stakeholders to be increased.Abstrak. Menurut Peraturan Menteri Kesehatan nomor 33 Tahun 2015 tentang Pedoman Penyusunan Perencanaan Kebutuhan Sumber Daya Manusia dalam bidang Kesehatan (SDMK), perencanaan SDMK harus dilakukan secara berjenjang dari bawah ke atas. Di tahun 2016, kota Depok telah melaksanakan permenkes tersebut, akan tetapi hasilnya belum dapat dijadikan pertimbangan dalam manajemen kepegawaian. Penelitian ini merupakan penelitian kualitatif yang bertujuan untuk melakukan analisis terhadap pelaksanaan penyusunan dokumen perencanaan kebutuhan SDMK kota Depok tahun 2017 dengan teknik pengumpulan data berupa wawancara mendalam dan telaah dokumen. Hasil penelitian menunjukkan bahwa penyusunan dokumen perencanaan kebutuhan SDMK kota Depok tahun 2017 belum sesuai dengan tahapan yang terdapat dalam Permenkes 33 tahun 2015. Permasalahan disebabkan oleh komunikasi yang tidak efektif, yang menyebabkan tidak adanya komitmen dan dukungan dari pemangku kepentingan, sehingga tidak terdapat dukungan dari struktur birokrasi yang berupa SOP dan peraturan, dan alokasi sumber daya, baik manusia, dana, maupun fasilitas. Untuk itu, sebaiknya proses sosialisasi atau advokasi ke para pemangku kepentingan ditingkatkan.

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“…The significant evidence of staffing on health outcomes is still lacking in Indonesia, despite the chronic workforce shortage in various public health facilities having been widely recognised (Kurniati et al, 2015). Only half of Indonesian women selected a health facility as the place of delivery (Kurniati et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Staffing characteristics and their associations with the severe maternal outcomes at Indonesian tertiary hospitals

Makhfudli¹,

Efendi²,

Kurniati³

et al. 2020

Kontakt

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Aim: Staffing is believed to have a profound influence on the reduction of maternal mortality and severe maternal morbidity. Our research aims to examine the relationship between staffing characteristics and severe maternal outcomes. Methods: We conducted a retrospective cross-sectional study analyzing the data of deliveries and staffing from the eleven maternity units at the tertiary hospitals in the Java region of Indonesia. Results: The present study revealed that staffing characteristics were significantly associated with severe maternal outcomes. Maternity units with a higher nurse to birth ratio reduced the odds of severe maternal outcomes by 52% (OR = 0.476; 95% CI: 0.307-0.739). However, admission to units with a higher midwife to birth ratio increased the odds of experiencing severe maternal outcomes by 1.8 times (OR = 1.809; 95% CI: 1.070-3.059). The likelihood of severe maternal outcomes in maternity units is reduced by 52% for every additional year of nursing experience (OR = 0.476; 95% CI: 0.304-0.745), and by 69% for every additional year of midwifery experience (OR = 0.313; 95% CI: 0.200-0.491). Conclusions: The findings signify the prominent role of healthcare workers in maternal healthcare at the tertiary level. A further study is recommended to provide more support for the evidence-based policy in relation to developing safe staffing standards within the maternal healthcare framework.

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Strengthening Indonesia's health workforce through partnerships

Cited by 26 publications

References 1 publication

Spatio-temporal Clusters of Health Workforce Distribution in Sichuan Province, China: a county-level analysis

Spatio-temporal Clusters of Health Workforce Distribution in Sichuan Province, China: a county-level analysis

An Analysis on the Implementation of the Human Resouces in the Health Field Planning Policy in Depok, 2017

Staffing characteristics and their associations with the severe maternal outcomes at Indonesian tertiary hospitals

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