An ‘early warning system’ for health needs: surveillance of the quality of clinical services by audit of extra-contractual referrals (ECRs)

Public Health ◽  
1996 ◽  
Vol 110 (1) ◽  
pp. 21-23
Author(s):  
BG Charlton ◽  
AF Michie ◽  
RK Gorton ◽  
E Pugh
2019 ◽  
Vol 20 (1) ◽  
pp. 186-196
Author(s):  
Lei Zhang ◽  
Yu Cheng ◽  
Yulong Niu ◽  
Jiahu Jiang

Abstract This paper used the trophic level index (TLI) method combined with the relevant data from 2014 to 2017 to evaluate the water quality of Gaoyou Lake. Meanwhile, based on principal component analysis (PCA) and multiple linear regression (MLR) models on chlorophyll a (Chla), this research developed predictions and an early warning scheme for eutrophication in Gaoyou Lake. The results showed the following: 1. The TLI of Gaoyou Lake showed a significant increasing trend, and the lake was in the state of light to moderate eutrophy. 2. According to the PCA eigenvalues that were greater than 1, principal components (PCs) with a cumulative contribution rate of 76.04% were obtained, and a linear model was further obtained: CChla = 6.146 + 1.209 (Score 1) + 0.583 (Score 2) + 1.095 (Score 3). 3. The credibility of the early warning system reached 75%, which met the requirements of this study. This study provides a scientific basis for the control of eutrophication and improvement of water quality.


2016 ◽  
Vol 136 (2) ◽  
pp. 175-179 ◽  
Author(s):  
Abi Merriel ◽  
Bobb T. Murove ◽  
Samuel W.D. Merriel ◽  
Thabani Sibanda ◽  
Sikangezile Moyo ◽  
...  

2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Anja Hesnia Kholis ◽  
Nurul Hidayah ◽  
Ratna Puji Priyanti ◽  
Asri Asri ◽  
Agusta Dian Ellina

 ABSTRACTEmergency monitoring in the hospital is very important to be carried out, as one form of responsibility for early detection of deterioration patients. The implementation of the Early Warning System in Hospital is still being evaluated by the quality of service to find out its effectiveness. The purpose of this study was to explore the experiences and perceptions of nurses about the implementation of emergency monitoring in hospital. This study was a qualitative design. Participants were 6 female team leader  nurses, with average age 35.3 y.o, and average working experience 11.3 years, used purposive sampling. Data were collected by in-depth interviews and field notes. Data were analyzed using thematic analysis method by Flick. The findings of the study identified 3 themes: (1) personal themes; (2) environmental themes; (3) Patient themes. The results showed that the implementation of emergency monitoring in the inpatients units in hospital was still not optimal. The implementation of the Early Warning System is expected to be carried out on an ongoing basis so that its implementation is effective. Socialization, training, supervision, and adequate infrastructure are needed as well as consistency algorithms for early identification of the patient's condition and getting immediate assistance.ABSTRAK Pemantauan kedaruratan di rumah sakit sangat penting dilakukan, sebagai salah satu bentuk tanggung jawab untuk deteksi dini kemunduran pasien. Penerapan Sistem Peringatan Dini di Rumah Sakit masih terus dievaluasi kualitas pelayanannya untuk mengetahui efektivitasnya. Penelitian ini bertujuan untuk mengetahui pengalaman dan persepsi perawat tentang pelaksanaan pemantauan kegawatdaruratan di rumah sakit. Penelitian ini merupakan penelitian kualitatif. Peserta penelitian adalah 6 perawat ketua tim wanita, dengan usia rata-rata 35,3 tahun, dan pengalaman kerja rata-rata 11,3 tahun, menggunakan purposive sampling. Pengumpulan data dilakukan dengan wawancara mendalam dan catatan lapangan. Data dianalisis menggunakan metode analisis tematik oleh Flick. Temuan penelitian mengidentifikasi 3 tema: (1) tema pribadi; (2) tema lingkungan; (3) Tema pasien. Kesimpulan: Hasil penelitian menunjukkan bahwa pelaksanaan pemantauan kegawatdaruratan di unit rawat inap rumah sakit masih belum optimal. Penerapan Sistem Peringatan Dini diharapkan dapat dilakukan secara berkesinambungan agar pelaksanaannya efektif. Dibutuhkan sosialisasi, pelatihan, supervisi, dan infrastruktur yang memadai serta konsistensi algoritme untuk identifikasi awal kondisi pasien dan mendapatkan bantuan segera.


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